Evaluation of fluid quality with signals

Information

  • Patent Grant
  • 11946905
  • Patent Number
    11,946,905
  • Date Filed
    Thursday, December 30, 2021
    2 years ago
  • Date Issued
    Tuesday, April 2, 2024
    a month ago
Abstract
Systems, apparatuses, and methods for evaluation of fluid quality are provided. The system includes a vessel containing a quantity of fluid. At least one sensor is positioned to emit at least one signal into the quantity of fluid. A temperature sensor is configured to sense a temperature of the quantity of fluid. A computerized device is in communication with the at least one sensor and the temperature sensor. The processor of the computerized device calculates at least a fluid identity of the quantity of fluid and determines a quality of the quantity of fluid based on the at least one signal from the at least one sensor and the sensed temperature of the quantity of fluid. The system may have a particular benefit in evaluating dielectric fluid degradation used in liquid cooled centers and other settings.
Description
FIELD OF THE DISCLOSURE

The present disclosure is generally related to fluid monitoring and more particularly is related to evaluation of fluid quality.


BACKGROUND OF THE DISCLOSURE

Acoustic signals are commonly used in assessing fluids and other materials within containers, such as containers and pipelines used to store oil and gas within the petroleum industry. There are many reasons to use acoustic, or other types of waves or signals for measurements of fluids or materials in a container or other type of enclosure. For instance, some containers are not easily accessible, such as underground storage tanks and large, multi-story fuel storage containers. In another example, some containers contain fluid which requires monitoring or evaluation on a regular schedule, such that it is inefficient or impractical to conduct manual fluid evaluations.


While various sensors and devices exist for monitoring fluids within containers, many require the sensors to be within the container itself. This can be impractical since it can often be difficult to gain access to an interior of the container. Further, the material within the container can often cause degradation and malfunctions to electromechanical sensors which are submerged therein. For instance, some sensors which may be submerged within the material in the container may experience a build-up of residue or materials on certain parts thereof, such that they do not provide accurate or reliable reading.


Thus, a heretofore unaddressed need exists in the industry to address the aforementioned deficiencies and inadequacies.


SUMMARY OF THE DISCLOSURE

Embodiments of the present disclosure provide systems, apparatuses, and methods for evaluation of fluid quality. Briefly described, in architecture, one embodiment of the system, among others, can be implemented as follows. The system includes a vessel containing a quantity of fluid. At least one sensor is positioned to emit at least one signal into the quantity of fluid. A temperature sensor is configured to sense a temperature of the quantity of fluid. A computerized device is in communication with the at least one sensor and the temperature sensor, wherein a processor of the computerized device calculates at least a fluid identity of the quantity of fluid and determines a quality of the quantity of fluid based on the at least one signal from the at least one sensor and the sensed temperature of the quantity of fluid.


The present disclosure can also be viewed as providing a system for evaluation of a fluid quality of dielectric fluid. Briefly described, in architecture, one embodiment of the system, among others, can be implemented as follows. A vessel contains a quantity of dielectric fluid. At least one electronic device is submerged in the quantity of dielectric fluid. At least one sensor is positioned to emit at least one signal into the quantity of dielectric fluid. A temperature sensor is configured to sense a temperature of the quantity of dielectric fluid. A computerized device is in communication with the at least one sensor and the temperature sensor, wherein a processor of the computerized device determines a quality of the quantity of dielectric fluid based on the at least one signal from the at least one sensor and the sensed temperature of the quantity of fluid.


The present disclosure can also be viewed as providing methods of evaluating fluid quality. In this regard, one embodiment of such a method, among others, can be broadly summarized by the following steps: providing a vessel containing a quantity of fluid; positioning at least one sensor proximate to the vessel; emitting at least one signal into the quantity of fluid from the at least one sensor; sensing a temperature of the quantity of fluid with a temperature sensor; and using a processor of a computerized device in communication with the at least one sensor and the temperature sensor, calculating at least a fluid identity of the quantity of fluid and determining a quality of the quantity of fluid based on the at least one signal from the at least one sensor and the sensed temperature of the quantity of fluid.


Other systems, methods, features, and advantages of the present disclosure will be or become apparent to one with skill in the art upon examination of the following drawings and detailed description. It is intended that all such additional systems, methods, features, and advantages be included within this description, be within the scope of the present disclosure, and be protected by the accompanying claims.





BRIEF DESCRIPTION OF THE DRAWINGS

Many aspects of the disclosure can be better understood with reference to the following drawings. The components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Moreover, in the drawings, like reference numerals designate corresponding parts throughout the several views.



FIG. 1 is a diagrammatical illustration of a system for evaluating fluid quality, in accordance with a first exemplary embodiment of the present disclosure.



FIG. 2 is a diagrammatical illustration of the system for evaluating fluid quality, in accordance with a first exemplary embodiment of the present disclosure.



FIG. 3 is a diagrammatical illustration of a system for evaluating fluid quality having a mesh network architecture, in accordance with the first exemplary embodiment of the present disclosure.



FIG. 4 is a diagrammatical illustration of a system for evaluating fluid quality having a mesh network architecture, in accordance with the first exemplary embodiment of the present disclosure.



FIG. 5 is a diagrammatical illustration of a system for evaluating fluid quality, in accordance with the first exemplary embodiment of the present disclosure.



FIG. 6 is a flowchart illustrating a method of evaluating fluid quality, in accordance with the first exemplary embodiment of the disclosure.





DETAILED DESCRIPTION

Acoustic waves or signals, and other types of waves or signals, are beneficial for use with measurements, and in particular, for measurements of fluid and other materials within metal enclosures and other acoustically transparent enclosures. In accordance with this disclosure, the fluid may include any type of liquid, gas, sludge, starch, paraffine, or similar material which continually flows or deforms when subject to a shear stress or external force. These types of enclosures may be prevalent in various commercial and industrial settings, such as processing plants, nuclear power stations, power grid transformers, and data centers, as well as in facilities that process automotive fluids, such as brake fluid and motor oil. These enclosures may include underground or buried containers, as is the case with many gas tanks, or they may be in settings where access is difficult, e.g., in a hazardous environment or at an elevated height on a tower.


In one specific example, it is common to use dielectric fluid to submerge electronics in data centers and large-scale computing environments. Dielectric fluid is an electrically non-conductive liquid that has a very high resistance to electrical breakdown. In these facilities, electronics alone, or electronics combined with mechanical components, are enclosed within containers and submerged in a dielectric fluid which is often required for the specific application in a controlled area such as a hazardous environment. For instance, with electrical equipment, dielectric fluid protects against electrical sparks or excessive heat that could ignite gasses or dust in hazardous environments. Additionally, the use of dielectric fluid may provide additional benefits, such as increasing component lifetimes by controlling temperature changes and viscosity changes within the electronics and minimizing corrosion.


However, a major risk when using dielectric fluid is quality control of the fluid, for example, to ensure it has the desired properties and is at the correct level with the vessel. If the dielectric fluid breaks down or degrades in quality, which is prone to happen over time, it can lead to inefficiencies and malfunctions with the electronics submerged therein. Additionally, if the physical level of the dielectric fluid within the vessel drops too low, it may expose the electronic components to the surrounding atmosphere, thereby leaving them prone to overheating or sparking. For instance, a leak within a vessel or container holding the dielectric fluid would, over time, reduce the amount of dielectric fluid, eventually exposing the electronics increasing heat, corrosion and risk a potential ignition in a hazardous environment. Further, not all dielectric fluids are compatible. When dielectric fluids are replaced, an incompatible mixture of the fluid can lead to accelerated degradation, which in turn, leads to reduced protection for the electronics and system parts, or even damage.


It is noted that heat generation in electronics may vary in intensity over time due to the unpredictability of the electronic processing that generate the heat. In computer datacenters, the computer hardware that is submerged in the dielectric fluid or other coolant liquid runs tasks determined by the needs of clients of that datacenter. Therefore, modeling this process is inheritable difficult, and it may be important to measure the temperature of the dielectric fluid as well as fluid quality to be able to determine degradation of the dielectric fluid cooling capabilities in real time.


To improve upon these issues, the subject disclosure is directed to a system for evaluating fluid quality 10. FIG. 1 is a diagrammatical illustration of a system for evaluating fluid quality 10 and FIG. 2 is a diagrammatical illustration of the system for evaluating fluid quality 10, in accordance with a first exemplary embodiment of the present disclosure. With respect to FIGS. 1-2, the system for evaluating fluid quality 10, which may be referred to herein simply as ‘system 10’ includes a vessel 20 containing a quantity of fluid 12. The vessel 20 may include any type of container or similar structure that is capable of holding or transporting a quantity of fluid 12 or another material. In FIGS. 1-3, the vessel 20 is depicted as a container which is holding a quantity of dielectric fluid in which electronic devices 30 are submerged. The vessel 20 may be one of many similar containers used in a liquid cooled electronics center, such as one which houses computer or network servers or the like.


At least one sensor 40 is positioned on the vessel 20 or within the vessel 20. The sensor 40 or sensors may be positioned on an exterior surface of the vessel 20, such as attached to an exterior surface of the vessel 20 sidewall or bottom, as is depicted in FIG. 1. In FIG. 2, the sensor 40 is illustrated as being positioned within the vessel 20 itself. For instance, the sensor 40 may be submerged within the fluid 12 within the vessel 20. The sensor 40 may be considered a fluid identification sensor and may include one or more of a variety of different types of sensors, commonly acoustic sensors, but other sensors, such as optical, electrical, or another type may also be used. For clarity in this disclosure, the sensor 40 is described as an acoustic sensor having one or more transducers which are capable of emitting one or more acoustic waves or signals into the fluid 12.


As shown in FIG. 1, the sensor 40 may include two transducers 42, 44 which are positioned to emit one or more acoustic signals or acoustic waves 46 into the fluid 12. In FIG. 1, the sensor 40 is depicted as emitting one acoustic wave 46 from a bottom of the vessel 20 towards a top of the vessel 20. One of the transducers 42 on the sensor 40 can identify the material identity of a fluid 12 inside the vessel 20, which in turn, is used to determine the fluid 12 quality. For example, an acoustic signal 46 is transmitted into the fluid 12 within the vessel 20 to identify that the fluid 12 in the enclosure is a dielectric fluid or another fluid material type, which can then be used to determine whether that material fluid is within an acceptable quality level. This can be achieved by the sensor 40 identifying whether the material fluid 12 detected in the vessel 20 corresponds to that of a good quality fluid or a degraded quality fluid.


In operation with a vessel 20 containing a dielectric fluid as the fluid 12, the specific fluid type may be either known or unknown. For example, the vessel 20 may be filled with a fluid 12 which is specifically known to be a certain chemical or substance, or the type of fluid 12 within the vessel 20 may be unknown. If the fluid type is unknown, the sensor 40 may be capable of accurately identifying the dielectric fluid 12. For instance, an acoustic sensor may use known acoustic metrics which are temperature-compensated against a database to identify the specific liquid type. Other types of sensors may use other metrics for determining the fluid identity.


It is noted that the acoustic wave 46 emitted from transducer 42, which is used to determine material identity, may traverse in any direction within the vessel 20, such as from the bottom to the top, from side to side, from top to bottom, diagonal, or in another other direction, or it my detect fluid parameters at a wall of the vessel 20 without traveling through the fluid. Additionally, the acoustic wave 46 may traverse through all of the fluid 12 in a cross section or directional line within the vessel 20, or through only a portion of the fluid 12. For example, as shown in FIG. 2, it is possible to have one or more signals 46A which traverse only part way through the fluid 12 with a high-frequency wave, and a second signal 46B which is emitted through substantially all of the fluid 12, e.g., from the bottom to the top of the vessel 20. The acoustic wave or waves 46A which travers only part way through the fluid 12 may allow for sensing enough properties of the fluid 12 to determine its identity without needing a clear line of sight across the vessel 20. This may be particularly beneficial for vessels 20 with many devices 30 therein, in which there is little unobstructed signal pathways across the vessel 20.


The acoustic wave 46B which traverses through a full path of the fluid 12 may be emitted by the other transducer 44, and may be used to determine a fill level or a quantity of the fluid 12 within the vessel 20. For this transducer 44, the signal 46B may traverse through the fluid 12 from a bottom surface thereof to a top surface layer 14, and reflects down to the sensor 40 such that a determination can be made on whether the fluid level has changed and/or the volume of the fluid 12 within the vessel 20. This determination results in an extremely accurate fill level measurement of the fluid 12 within the vessel.


It is noted that the sensor 40 may include any additional number of transducers which can be used to provide duplicative sensing capabilities, or to sense other aspects of the surrounding setting. For instance, the sensor 40 may use additional transducers to sense a full path of the fluid 12 in multiple directions, e.g., up and down, side to side, etc., or a transducer may be used to sense material properties of the vessel 20 itself, such as the structural condition of a vessel 20 sidewall as well as temperature profile and map the fluid degradation throughout the vessel 20. Any number of sensors 40 and transducers may be used, all of which are considered within the scope of the present disclosure.


The system 10 further includes a temperature sensor 50 which is is configured to sense a temperature of the fluid 12 within the vessel 20. It is noted that there may be multiple temperature sensors 50 sensing the temperature of the fluid at multiple locations within the vessel 20 or elsewhere. The temperature sensor 50 is shown in FIG. 1 mounted inside the vessel 20 to determine the temperature of the fluid 12, but it is noted that the temperature sensor 50 may be located inside, outside or within the vessel 20 wall, or in another position. The temperature of the fluid 12 may be taken through direct temperature measurement, e.g., from the temperature sensor 50, or from ambient temperature calculation or other techniques. All types of temperature sensors 50 can be used, including infrared temperature sensors, thermistors, other temperature sensing devices, or any combination thereof. With the type of fluid 12 material identified, any change in the fluid identity or change in the fluid level may indicate a potential problematic situation. For dielectric fluid, one potential risk is that the electronics could suffer harm or inefficiency due to degraded dielectric fluid or dielectric fluid which is below a necessary level or volume.


It is noted that the operation and functionality of the system 10 can be implemented or achieved by placing the sensors 40, 50 on an exterior wall of the vessel 20 or within an interior space or compartment of the vessel 20, such that the sensors 40, 50 are in direct contact with the fluid 12. For example, as shown in FIG. 2, the sensor 40 may be adhered to the inside of the vessel 20 or otherwise placed therein, or as shown in FIG. 1, the sensor 40 may be mounted or otherwise positioned on an outside of the vessel 20. Similarly, the temperature sensor 50 can be located inside or outside the vessel 20 in a convenient position for sensing temperature of the fluid 12. The vessel 20 does not need to be emptied or otherwise opened in order to configure the system 10 when the sensors 40, 50 are mounted outside. In other examples, the temperature sensor 50 could be positioned in other locations and would not necessarily need to be in contact with the fluid 12 or the vessel 20.


A computerized device 60 is in communication with the sensor 40 and the temperature sensor 50 with a wireless or wired communication line 62, such that a processor of the computerized device 60 is capable of receiving data and information from the sensor 40 and temperature sensor 50. This data is received by the processor which then computes or determines fluid identity of the fluid 12. For instance, using the data from the sensors 40, 50, the processor can determine that the material identity of the fluid 12 is a particular type of dielectric fluid. Based on this determination, the processor can determine a quality of the fluid 12, for instance, if the fluid 12 has suffered from any degradation or other break downs which may affect its quality. For example, any fluid degradation or contamination, or fluid additive, may result in a change in the fluid identification, such that the system 10 can differentiate between uncontaminated or non-degraded fluid and fluid which has been contaminated or has degraded. Thus, the fluid 12 can be identified in such a way that the quality of a parameter of the fluid is detectable, which in turn is used to assess the quality of the fluid 12 overall. While the system 10 can be used with a variety of fluids 12 to determine various quality parameters of the fluid, the system 10 may have a particular benefit in evaluating dielectric fluid degradation used in liquid cooled centers and other settings.


Additionally, the determination of fluid quality may be implemented through calculations completed by the computerized device 60 or another computing or processing system. To evaluate dielectric fluid 12 degradation, the processor of the computerized device 60 may determine the identity of the fluid 12 at two or more times, or at predetermined time intervals, based on at least the sensed fill level provided by fluid identity sensor 40 and the temperature from temperature sensor 50. The computerized device 60 may receive the sensed information via signals 62 from the sensors, which may be wired, wireless, or any combination thereof. The computerized device 60 may be a hand-held computing device such as a tablet computer, a smart phone, a reader, a laptop, or a stationary computing device, or any other electronic device capable of receiving the signals and calculating the data points using algorithms and processing. The computerized device 60 may include a display screen or GUI which provides relevant information to a human user, or it may be interconnected with another computing device through a network or the Internet to transfer the relevant information elsewhere.


When a determination of the fluid 12 quality or fluid quantity is made, the computerized device 60 may be in communication with an alarm 70 or warning device, as shown in FIG. 1, in order to alert personnel about the situation. This alarm 70 or warning device may include an electronic message such as an e-mail, a phone call, an audible or visual warning, or another type of alert to a control system of the facility. With this alarm, a user can take appropriate actions to correct the issue. While the type of situation which causes an alarm may change based on the type of fluid, for dielectric fluid, a chance in quality, condition, temperature, viscosity, and/or volume may cause the alarm to trigger. For example, the control system, once alerted, could execute specific actions based on the alert provided. This could include shutting down an entire facility or a unit thereof either through a specific set of shut-down steps or directly by turning off a power supply to the electronics that are submersed in the dielectric fluid. Additionally, the computerized device 60 can track the quality of fluid over a period of time and issue warnings or alerts to users of an impending issue.


It may also be possible for the computerized device 60 to perform additional assessments and/or predictive analysis based on the data received from the sensors 40, 50 and provide advance notice of anticipated situations. For example, the computerized device 60 can determine the volume of the fluid 12, or a remaining portion of the fluid 12 within the vessel 20. Using a predetermined condition based on the liquid density and identification of the fluid 12, the computerized device 60 can issue notifications to other components or parts of the system architecture. It is also possible to assess predetermined rates or patterns of flow of the fluid 12 within the vessel 20 to provide more accurate assessments, e.g., after 100 detected processing cycles for a particular fluid, the fluid is determined to be degraded. It is also possible to track the quality of the fluid 12 over a period of time, such that the quality of the fluid 12 after each cycle, each week, each month is determined.


In facilities with numerous vessels 20 or with a vessel 20 that is large, it may be possible to allow different sensors 40, 50 to communicate directly or indirectly with one another. FIG. 3 is a diagrammatical illustration of a system for evaluating fluid quality 10 having a mesh network architecture, in accordance with the first exemplary embodiment of the present disclosure. As shown in FIG. 3, a plurality of vessels 20 are provided, where the sensors 40, 50 may be formed as a mesh network where detected situations in one sensor 40 can be provided to another sensor 40 directly through one or more communication lines 62, or indirectly through a computerized device 60. In another example, FIG. 4 is a diagrammatical illustration of a system for evaluating fluid quality 10 having a mesh network architecture, in accordance with the first exemplary embodiment of the present disclosure, where a large vessel 20 may have two or more material identification sensors 40 positioned at opposing ends, and when one sensor 40 detects a change in material identity, it may communicate the change to the other sensor 40.


While in FIGS. 1-4, the sensor 40 is depicted as being on the bottom of the vessel 20 such that the signal 46 or signals can be transmitted upwards towards the surface 14 of the fluid 12, it is also possible to place the sensor 40 on a sidewall of the vessel 20. To this end, FIG. 5 is a diagrammatical illustration of a system for evaluating fluid quality 10, in accordance with the first exemplary embodiment of the present disclosure, in which the sensor 40 is positioned on a sidewall of the vessel 20, such that the sensor 40 can detect a fill level of the fluid 12 in the vessel 20. For example, as shown in FIG. 5, the fluid identity sensor 40 is positioned on the exterior of the vessel 20 above the fluid level that would expose the electronics 30 or other system components. While one sensor 40 with two transducers 42, 44 are depicted, any number of sensors in any positions and with any orientations may be used, all combinations of which are considered within the scope of the present disclosure. In this example, if the fluid 12 level dropped below the sensor 40, an alarm can be sounded indicating that the electronics 30 are at risk of being extricated from the fluid 12.


It may be beneficial to provide a plurality of transducers at different heights along the vessel 20, such that different warnings can be provided at different fluid 12 levels. In another example, it is possible to detect the identity of the fluid 12 without electronics 30 or other devices therein, for the purpose of identifying the quality of the fluid 12. For instance, the system 10 can be used to determine the quality of chemicals in chemical treatment baths which do not continuously have objects therein.


While it is possible to use a plurality of sensors 40, the exact number of sensors 40 may depend on the design and implementation of the system 10. For example, in some situations, it may be advantageous to utilize a single acoustic sensor 40 positioned on the bottom wall of the vessel 20, due to efficiency and lower material expense. However, for vessels 20 which do not allow access to their bottom walls, such as those sitting on the ground surface, placing sensors 40 on the sidewalls may be more beneficial. The identification sensor 40 may also be mounted at the top level of the vessel 20 to ensure that the necessary dielectric fluid is covering all of the electronics 30 inside the vessel 20. In these specific level locations, the sensor 40 identifies the appropriate dielectric fluid and determines that the fluid level in the vessel 20 is adequate to provide the required electrical protection for the devices 30.


It is also noted that given the properties of dielectric fluid inside the vessel 20 and the wall of the vessel 20 to transmit heat, as well as the flow pattern of the dielectric fluid inside the vessel 20, it may be possible for the temperature of the circuits submerged in liquid to be estimated. The flow pattern of the dielectric fluid may be predetermined, therefore more thermal sensors may need to be applied so the temperature profile inside the vessel 20 can be determined accurately. Additionally, because of the unpredictability of the heat generation by the electronics in the dielectric fluid, it may be beneficial to measure the quality of the fluid at the inside surface of the wall of the vessel 20, and then use the signal that is traversing the vessel 20 as an indicator of the internal temperature gradient.



FIG. 6 is a flowchart 100 illustrating a method of evaluating fluid quality, in accordance with the first exemplary embodiment of the disclosure. It should be noted that any process descriptions or blocks in flow charts should be understood as representing modules, segments, portions of code, or steps that include one or more instructions for implementing specific logical functions in the process, and alternate implementations are included within the scope of the present disclosure in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present disclosure.


As is shown by block 102, a vessel containing a quantity of fluid is provided. At least one sensor is positioned proximate to the vessel (block 104). At least one signal is emitted into the quantity of fluid from the at least one sensor (block 106). A temperature of the quantity of fluid is sensed with a temperature sensor (block 108). Using a processor of a computerized device in communication with the at least one sensor and the temperature sensor, at least a fluid identity of the quantity of fluid is calculated and a quality of the quantity of fluid is determined based on the at least one signal from the at least one sensor and the sensed temperature of the quantity of fluid (block 110). Any number of additional steps, functions, processes, or variants thereof may be included in the method, including any disclosed relative to any other figure of this disclosure.


It should be emphasized that the above-described embodiments of the present disclosure, particularly, any “preferred” embodiments, are merely possible examples of implementations, merely set forth for a clear understanding of the principles of the disclosure. Many variations and modifications may be made to the above-described embodiment(s) of the disclosure without departing substantially from the spirit and principles of the disclosure. All such modifications and variations are intended to be included herein within the scope of this disclosure and the present disclosure and protected by the following claims.

Claims
  • 1. A system for evaluation of fluid quality comprising: a vessel containing a quantity of fluid;at least two acoustic sensors positioned in at least first and second horizontal locations within an interior space of the vessel and fully submerged within the quantity of fluid, the at least two acoustic sensors positioned to emit signals into the quantity of fluid, wherein a fluid identity of the quantity of fluid in the at least first and second horizontal locations is calculatable based on the signals, wherein the at least two acoustic sensors are in direct communication with each other, and wherein the at least two acoustic sensors are configured to communicate a change in the fluid identity to one another;a temperature sensor configured to sense a temperature of the quantity of fluid; anda computerized device in communication with the at least one of the at least two acoustic sensors and the temperature sensor, wherein a processor of the computerized device determines a quality of the quantity of fluid based on the fluid identity of the quantity of fluid from the signals from the at least two acoustic sensors at two or more times and the sensed temperature of the quantity of fluid.
  • 2. The system of claim 1, wherein the processor of the computerized device also calculates a fill level of the quantity of fluid within the vessel.
  • 3. The system of claim 1, wherein the quantity of fluid comprises a dielectric fluid.
  • 4. The system of claim 3, wherein the processor-determined quality of the dielectric fluid identifies a degradation of the dielectric fluid.
  • 5. The system of claim 4, wherein the degradation of the dielectric fluid is determined at the at least first and second horizontal locations.
  • 6. The system of claim 1, wherein each sensor of the at least two acoustic sensors is in indirect communication with each other.
  • 7. The system of claim 1, wherein each acoustic sensor is configured to emit its own signals.
  • 8. The system of claim 1, wherein the processor of the computerized device determines a flow of the quantity of fluid within the vessel based on the fluid identity of the quantity of fluid calculated at the first and second horizontal locations.
  • 9. A system for evaluation of a fluid quality of dielectric fluid, the system comprising: at least two vessels, each containing a quantity of dielectric fluid;at least one electronic device submerged in the quantity of dielectric fluid of each vessel;at least two acoustic sensors positioned in at least first and second horizontal locations within an interior space of each vessel and fully submerged within the quantity of fluid, the at least two acoustic sensors positioned to emit at least one signal into the quantity of dielectric fluid of each vessel, each acoustic sensor configured to emit its own signals;a temperature sensor configured to sense a temperature of the quantity of dielectric fluid of each vessel; anda computerized device in communication with at least one of the at least two acoustic sensors and at least one of the temperature sensors, wherein a processor of the computerized device determines a quality of the quantity of dielectric fluid in at least one vessel based on the signals from the at least two acoustic sensors and the sensed temperature of the quantity of fluid of that vessel, wherein the at least one of the at least two acoustic sensors of each vessel is in direct communication with another sensor.
  • 10. The system of claim 9, wherein the processor of the computerized device also calculates a fill level of the quantity of dielectric fluid within the vessel.
  • 11. The system of claim 9, wherein the processor-determined quality of the dielectric fluid identifies a degradation of the quantity of dielectric fluid.
  • 12. The system of claim 9, wherein a fluid identity of the quantity of fluid at the first and second horizontal locations in each vessel is calculatable based on the signals, wherein the at least two acoustic sensors in each vessel are in direct communication with each other, and wherein the at least two acoustic sensors are configured to communicate a change in the fluid identity to one another.
  • 13. The system of claim 9, wherein the at least first and second horizontal locations are separated by the at least one electronic device.
  • 14. A method of evaluating fluid quality, the method comprising: providing a vessel containing a quantity of fluid;positioning at least two acoustic sensors in at least first and second horizontal locations within an interior space of the vessel and fully submerged within the quantity of fluid, wherein the at least two sensors are in direct communication with each other;emitting signals into the quantity of fluid from the at least two acoustic sensors, wherein a fluid identity of the quantity of fluid in the at least first and second horizontal locations is calculatable based on the signals, and wherein the at least two acoustic sensors are configured to communicate a change in the fluid identity to one another;sensing a temperature of the quantity of fluid with a temperature sensor; andusing a processor of a computerized device in communication with at least one of the at least two acoustic sensors and the temperature sensor, determining a quality of the quantity of fluid based on the fluid identity of the quantity of fluid from the signals from the at least two acoustic sensors at two or more times and the sensed temperature of the quantity of fluid.
  • 15. The method of claim 14, further comprising calculating, with the processor of the computerized device, a fill level of the quantity of fluid within the vessel.
  • 16. The method of claim 14, wherein the quantity of fluid comprises a dielectric fluid.
  • 17. The method of claim 16, further comprising identifying a degradation of the dielectric fluid.
  • 18. The method of claim 14, wherein the at least two acoustic sensors are in indirect communication with each other.
  • 19. The method of claim 14, wherein each acoustic sensor is configured to emit its own signals.
CROSS REFERENCE TO RELATED APPLICATION

This application claims benefit of U.S. Provisional Patent Application Ser. No. 63/132,106 entitled, “Evaluation of Fluid Quality” filed Dec. 30, 2020, the entire disclosure of which is incorporated herein by reference.

US Referenced Citations (226)
Number Name Date Kind
2449054 Chantlin Sep 1948 A
3019650 Worswick Feb 1962 A
3703829 Dougherty Nov 1972 A
3837218 Flambard et al. Sep 1974 A
3971962 Green Jul 1976 A
4065958 Krylova et al. Jan 1978 A
4118983 Braznikov Oct 1978 A
4121468 Glover et al. Oct 1978 A
4182177 Prough Jan 1980 A
4208908 Hickox Jun 1980 A
4280126 White Jul 1981 A
4320659 Lynnworth et al. Mar 1982 A
4326173 Newman Apr 1982 A
4501146 Greenhalgh Feb 1985 A
4580448 Skrgatic Apr 1986 A
4596266 Kinghorn et al. Jun 1986 A
4599892 Doshi Jul 1986 A
4676098 Erlenkämper et al. Jun 1987 A
4852416 Boone et al. Aug 1989 A
4934191 Kroening et al. Jun 1990 A
4954997 Dieulesaint et al. Sep 1990 A
4977780 Machida et al. Dec 1990 A
5015995 Holroyd May 1991 A
5038611 Weldon et al. Aug 1991 A
5040415 Barkhoudarian Aug 1991 A
5148700 King Sep 1992 A
5195058 Simon Mar 1993 A
5223822 Stommes et al. Jun 1993 A
5295120 McShane Mar 1994 A
5325727 Miller et al. Jul 1994 A
5415033 Maresca, Jr. et al. May 1995 A
5438868 Holden et al. Aug 1995 A
5453944 Baumoel Sep 1995 A
5460046 Maltby et al. Oct 1995 A
5469749 Shimada et al. Nov 1995 A
5604314 Grahn Feb 1997 A
5663505 Nakamura Sep 1997 A
5770806 Hiismaki Jun 1998 A
5821427 Byrd Oct 1998 A
5836192 Getman et al. Nov 1998 A
6035903 Few Mar 2000 A
6105431 Duffill et al. Aug 2000 A
6151956 Takahashi et al. Nov 2000 A
6157894 Hess Dec 2000 A
6192751 Stein et al. Feb 2001 B1
6330831 Lynnworth et al. Dec 2001 B1
6354147 Gysling et al. Mar 2002 B1
6368281 Solomon et al. Apr 2002 B1
6443006 Degrave Sep 2002 B1
6470744 Usui et al. Oct 2002 B1
6481287 Ashworth et al. Nov 2002 B1
6513385 Han Feb 2003 B1
6575043 Huang et al. Jun 2003 B1
6578424 Ziola et al. Jun 2003 B1
6631639 Dam et al. Oct 2003 B1
6672163 Han et al. Jan 2004 B2
6691582 Nawa et al. Feb 2004 B1
6836734 Rojas et al. Dec 2004 B2
6925868 Young et al. Aug 2005 B2
6938488 Diaz et al. Sep 2005 B2
7085391 Yamaya Aug 2006 B1
7114375 Panetta et al. Oct 2006 B2
7246522 Diaz et al. Jul 2007 B1
7299136 DiFoggio et al. Nov 2007 B2
7330797 Bailey et al. Feb 2008 B2
7359803 Gysling et al. Apr 2008 B2
7363174 Kishiro et al. Apr 2008 B2
7430924 Gysling et al. Oct 2008 B2
7437946 Gysling et al. Oct 2008 B2
7624650 Gysling et al. Dec 2009 B2
7624651 Fernald et al. Dec 2009 B2
7656747 Mandal et al. Feb 2010 B2
7694570 Dam et al. Apr 2010 B1
7757560 Hofmann Jul 2010 B2
7962293 Gysling Jun 2011 B2
7966882 Greenwood Jun 2011 B2
8249829 Vass Aug 2012 B2
8346491 Loose et al. Jan 2013 B2
8482295 Sadri et al. Jul 2013 B2
8683882 Jackson Apr 2014 B2
8820182 Nikolay Nikolov et al. Sep 2014 B2
8850882 Qu et al. Oct 2014 B2
8915145 Van Orsdol Dec 2014 B1
9057677 Field Jun 2015 B2
9383476 Trehan et al. Jul 2016 B2
9557208 Kuroda et al. Jan 2017 B2
9772311 Liljenberg et al. Sep 2017 B2
9816848 Raykhman et al. Nov 2017 B2
9835450 Deleye et al. Dec 2017 B2
9891085 Muhammad et al. Feb 2018 B2
9903840 Altpeter et al. Feb 2018 B2
10122051 Kuhne et al. Nov 2018 B2
10180410 Takahashi et al. Jan 2019 B2
10215613 Kassubek et al. Feb 2019 B2
10458871 Norli Oct 2019 B2
10794871 Blackshire et al. Oct 2020 B1
11020793 De Monte et al. Jun 2021 B2
11047721 Schöb et al. Jun 2021 B2
11274952 Bober et al. Mar 2022 B2
11293791 Firouzi et al. Apr 2022 B2
11536696 Bivolarsky et al. Dec 2022 B2
11585690 Bivolarsky et al. Feb 2023 B2
11729537 Heim et al. Aug 2023 B2
11788904 Bivolarsky et al. Oct 2023 B2
20020170753 Clare Nov 2002 A1
20020173230 Mayes Nov 2002 A1
20040035208 Diaz et al. Feb 2004 A1
20040079150 Breed et al. Apr 2004 A1
20040173021 Lizon et al. Sep 2004 A1
20040226615 Morikawa et al. Nov 2004 A1
20050055136 Hofmann et al. Mar 2005 A1
20050102109 Dubois et al. May 2005 A1
20050128873 LaBry Jun 2005 A1
20050178198 Freger et al. Aug 2005 A1
20050247070 Arshansky et al. Nov 2005 A1
20060196224 Esslinger Sep 2006 A1
20070001028 Gysling Jan 2007 A1
20070068248 Freger Mar 2007 A1
20070068253 Carodiskey Mar 2007 A1
20070157737 Gysling et al. Jul 2007 A1
20070205907 Schenk, Jr. Sep 2007 A1
20080092623 Lynch et al. Apr 2008 A1
20080101158 Hosseini May 2008 A1
20090007678 Fukutomi et al. Jan 2009 A1
20090143681 Jurvelin et al. Jun 2009 A1
20100046576 Desai Feb 2010 A1
20100111133 Yuhas et al. May 2010 A1
20100199779 Liu et al. Aug 2010 A1
20100218599 Young et al. Sep 2010 A1
20100242593 Lagergren et al. Sep 2010 A1
20100307249 Lesage et al. Dec 2010 A1
20110029262 Barkhouse Feb 2011 A1
20110048551 Tanaka et al. Mar 2011 A1
20110072904 Lam et al. Mar 2011 A1
20110120218 Aldridge May 2011 A1
20110239769 Schmitt et al. Oct 2011 A1
20110271769 Kippersund et al. Nov 2011 A1
20110284288 Sawyer et al. Nov 2011 A1
20120024067 Oberdoerfer et al. Feb 2012 A1
20120055239 Sinha Mar 2012 A1
20120173169 Skelding Jul 2012 A1
20120222471 Raykhman et al. Sep 2012 A1
20120226159 Sinclair et al. Sep 2012 A1
20120259560 Woltring et al. Oct 2012 A1
20120262472 Garr et al. Oct 2012 A1
20120265454 Rudd et al. Oct 2012 A1
20120281096 Gellaboina et al. Nov 2012 A1
20130002443 Breed et al. Jan 2013 A1
20130041597 Deleye et al. Feb 2013 A1
20130068027 Sullivan et al. Mar 2013 A1
20130080081 Dugger et al. Mar 2013 A1
20130090575 Rupp et al. Apr 2013 A1
20130120155 Hagg May 2013 A1
20130128035 Johns et al. May 2013 A1
20130213714 Fuida Aug 2013 A1
20140020478 Ao et al. Jan 2014 A1
20140027455 Castellano et al. Jan 2014 A1
20140076415 Dunki-Jacobs et al. Mar 2014 A1
20140107435 Sharf et al. Apr 2014 A1
20140223992 Harper et al. Aug 2014 A1
20140301902 Fernald et al. Oct 2014 A1
20140375169 Na et al. Dec 2014 A1
20150068311 Tanaka et al. Mar 2015 A1
20150075278 Dockendorff et al. Mar 2015 A1
20150177045 Cobianu Jun 2015 A1
20150198471 Furlong et al. Jul 2015 A1
20150212045 Raykhman et al. Jul 2015 A1
20150247751 Kutlik Sep 2015 A1
20150260003 McHugh et al. Sep 2015 A1
20150276463 Milne et al. Oct 2015 A1
20150369647 Kumar et al. Dec 2015 A1
20160025545 Saltzgiver et al. Jan 2016 A1
20160041024 Reimer Feb 2016 A1
20160108730 Fanini et al. Apr 2016 A1
20160109304 Yan et al. Apr 2016 A1
20160146653 Skelding May 2016 A1
20160169839 Gottlieb et al. Jun 2016 A1
20160216141 Leaders et al. Jul 2016 A1
20160265954 Bachmann et al. Sep 2016 A1
20160320226 Schaefer et al. Nov 2016 A1
20170002954 Brown et al. Jan 2017 A1
20170010144 Lenner et al. Jan 2017 A1
20170010145 Lenner et al. Jan 2017 A1
20170010146 Kassubek et al. Jan 2017 A1
20170059389 Moore et al. Mar 2017 A1
20170082650 Hies et al. Mar 2017 A1
20170087526 Luharuka Mar 2017 A1
20170102095 Kunita et al. Apr 2017 A1
20170097322 Giese et al. Jun 2017 A1
20170199295 Mandal Jul 2017 A1
20170202595 Shelton, IV Jul 2017 A1
20170239741 Furuta Aug 2017 A1
20170268915 Gestner et al. Sep 2017 A1
20170295743 Brown et al. Oct 2017 A1
20170309989 Waelde et al. Oct 2017 A1
20180035603 Kremmer et al. Feb 2018 A1
20180044159 Crouse et al. Feb 2018 A1
20180080809 Tokarev et al. Mar 2018 A1
20180113663 Jain Apr 2018 A1
20180149505 Ploss et al. May 2018 A1
20180266874 Montoya et al. Sep 2018 A1
20180299317 Truong et al. Oct 2018 A1
20180306628 Parrott et al. Oct 2018 A1
20180348169 Lee et al. Dec 2018 A1
20190011304 Cunningham et al. Jan 2019 A1
20190063984 Bowley Feb 2019 A1
20190078927 Takayama et al. Mar 2019 A1
20190137310 Xiao et al. May 2019 A1
20190154480 Schöb et al. May 2019 A1
20190195629 Vaissiere Jun 2019 A1
20190195830 Tamura et al. Jun 2019 A1
20190272496 Moeller Sep 2019 A1
20190368908 Aughton et al. Dec 2019 A1
20200018628 Head et al. Jan 2020 A1
20200182736 Kim et al. Jun 2020 A1
20200195449 Obaidi Jun 2020 A1
20200200711 Ferhan Jun 2020 A1
20200378283 Zhang Dec 2020 A1
20200378812 Heim Dec 2020 A1
20200378818 Heim et al. Dec 2020 A1
20210382014 Xu et al. Dec 2021 A1
20220034850 Zhang et al. Feb 2022 A1
20220178879 Bivolarsky et al. Jun 2022 A1
20220178881 Bivolarsky et al. Jun 2022 A1
20220276102 Bivolarsky et al. Sep 2022 A1
20230258488 Coleman et al. Aug 2023 A1
Foreign Referenced Citations (23)
Number Date Country
204944617 Jan 2016 CN
105333925 Feb 2016 CN
105548370 May 2016 CN
10 2010 029 254 Dec 2011 DE
0372700 Jun 1990 EP
2450701 May 2012 EP
2962096 Feb 2014 EP
2962096 Aug 2019 EP
2192717 Jan 1990 GB
H1073385 Mar 1998 JP
2000314651 Nov 2000 JP
2002340654 Nov 2002 JP
2013140029 Jul 2013 JP
200174618 Mar 2000 KR
WO 8704793 Aug 1987 SU
WO 8809895 Dec 1988 WO
WO9010849 Sep 1990 WO
WO 2007149605 Dec 2007 WO
WO2008079202 Jul 2008 WO
WO 2009154719 Dec 2009 WO
WO 2014021846 Feb 2014 WO
WO 2014167471 Oct 2014 WO
WO 2020136945 Jul 2020 WO
Non-Patent Literature Citations (106)
Entry
Amjad, Umar et al, “Advanced signal processing technique for damage detection in steel tubes” Proceedings of SPIE, Health Monitoring of Structural and Biological Systems 2016, 980511 (Apr. 1, 2016); 14 pgs.
Amjad, Umar et al. “Change in time-to-flight of longitudinal (axisymmetric) wave modes due to lamination in steel pipes” Proceedings of SPIE vol. 8695, Health Monitoring of Structural and Biological Systems 2013, 869515 (Apr. 17, 2013); 10 pgs.
Amjad, Umar et al., “Effects of transducers on guided wave based structural health monitoring” Proceedings of SPIE, vol. 10600, Health Monitoring of Structural and Biological Systems XII, 106000F (Apr. 23, 2018), 10 pgs.
Amjad, U et al., “Generalized representations and universal aspects of Lamb wave dispersion relations” Proceedings of SPIE, vol. 7650, Health Monitoring of Structural and Biological Systems 2010, 76502F (Apr. 8, 2010), 9 pgs.
Amjad, Umar et al., “Detection and quantification of pipe damage from change in time of flight and phase” Ultrasoncis vol. 62 (2015) pp. 223-236, Jun. 11, 2015, 14 pgs.
Amjad, Umar et al., “Detection and quantification of diameter reduction due to corrosion in reinforcing steel bars” Structural Health Monitoring 2015, vol. 14(5) 532-543, 12 pgs.
Amjad, Umar et al., “Detection and quantification of delamination in laminated plates from the phase of appropriate guided wave modes” Optical Engineering 55(1), Jan. 2016, 11 pgs.
API: American Petroleum Institute Preliminary Program, Oct. 16-17, 2019, 5 pages.
Gurkov, Andrey “Gigantic Druzhba oil pipeline paralyzed for weeks” May 7, 2019, 3 pages, https://www.dw.com/en/gigantic-druzhba-oil-pipeline-paralyzed-for-weeks/a-48638989.
Hassanzadeh et al., “Investigation of factors affecting on viscosity reduction of sludge from Iranian crude oil storage tanks”, Petroleum Science, vol. 15, Jul. 2018, pp. 634-643.
Kak et al., “Principles of Computerized Tomographic Imaging”, IEEE, 1988, Chapter 2, 48 pgs.
Luck, Marissa “Deer Park fire a 'blemish' for the petrochemical industry's image” Houston Chronicle, Mar. 26, 2019, 3 pages https://www.houstonchronicle.com/business/energy/article/Deer-Park-fire-a-blemish-for-the-image-of-13717661.php.
Pandey, “Ultrasonic attenuation in condensed matter”, Dissertation for V.B.S. Purvanchal University, 2009, Chapter 1, 36 pgs.
Pluta et al., “Stress Dependent Dispersion Relations of Acoustic Waves Travelling on a Chain of Point Masses Connected by Anharmonic Linear and Torsional Springs” International Congress on Ultrasonics AIP Conf. Proc. 1433, 471-474 (2012); 5 pgs.
Shelke, et al., “Mode-Selective Excitation and Detection of Ultrasonic Guided Waves for Delamination Detection in Laminated Aluminum Plates” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 58, No. 3, Mar. 2011, 11 pgs.
“TOPS Terminal Operating Practices Symposium” Program Agenda, Apr. 11, 2018, 1 page.
Zadler, et al., “Resonant Ultrasound Spectroscopy: theory and application”, Geophysical Journal International, vol. 156, Issue 1, Jan. 2004, pp. 154-169.
Examination Report No. 1 issued in Australian Application No. 2020283140 dated Jan. 4, 2022, 6 pgs.
Examination Report No. 1 issued in Australian Patent Application No. 2020302919, dated Feb. 15, 2022, 4 pgs.
International Search Report and Written Opinion issued in PCT/US20/35404, dated Aug. 24, 2020, 11 pages.
International Search Report and Written Opinion issued in PCT/US20/39966, dated Sep. 18, 2020, 13 pages.
International Preliminary Report on Patentability issued in PCT/US20/35404 dated Nov. 16, 2021, 8 pgs.
International Preliminary Report on Patentability issued in PCT/US20/39966 dated Dec. 28, 2021, 10 pgs.
Notice of Allowance issued in U.S. Appl. No. 16/888,469, dated Dec. 23, 2020, 16 pgs.
Notice of Allowance issued in U.S. Appl. No. 17/148,122 dated Jun. 16, 2021, 8 pgs.
Notice of Allowance issued in U.S. Appl. No. 16/914,092 dated Oct. 28, 2021, 14 pgs.
Office Action issued in Canadian Patent Application No. 3,140,008, dated Feb. 14, 2022, 4 pgs.
Office Action issued in U.S. Appl. No. 16/888,469, dated Aug. 5, 2020, 8 pages.
Office Action issued in U.S. Appl. No. 16/888,469, dated Sep. 8, 2020, 20 pages.
Office Action issued in U.S. Appl. No. 16/914,092, dated Nov. 10, 2020, 22 pgs.
Office Action issued in U.S. Appl. No. 16/914,092, dated Mar. 1, 2021, 25 pgs.
Office Action issued in U.S. Appl. No. 16/914,092, dated Jun. 24, 2021, 24 pgs.
Office Action issued in U.S. Appl. No. 17/148,122, dated Mar. 2, 2021, 26 pgs.
U.S. Appl. No. 17/542,814, filed Dec. 6, 2021, Burcham.
U.S. Appl. No. 17/542,461, filed Dec. 5, 2021, Burcham.
International Search Report and Written Opinion issued in PCT/US21/61962 dated Feb. 16, 2022, 9 pgs.
International Search Report and Written Opinion issued in PCT/US21/61924 dated Feb. 16, 2022, 9 pgs.
International Search Report and Written Opinion issued in PCT/US21/62010 dated Feb. 16, 2022, 9 pgs.
International Search Report and Written Opnion issued in PCT/US21/61970 dated Feb. 18, 2022, 17 pgs.
International Search Report and Written Opinion issued in PCT/US21/61925 dated Feb. 18, 2022, 9 pgs.
International Search Report and Written Opinion issued in PCT/US21/61646 dated Feb. 25, 2022, 9 pgs.
International Search Report and Written Opinion issued in PCT/US21/65664 dated Mar. 11, 2022, 9 pgs.
International Search Report and Written Opinion issued in PCT/US21/62001 dated Mar. 9, 2022, 9 pgs.
International Search Report and Written Opinion issued in PCT/US21/61926 dated Mar. 8, 2022, 9 pgs.
Notice of Acceptance issued in Australian Application No. 2020302919 dated Mar. 2, 2022, 4 pgs.
Notice of Acceptance issued in Australian Application No. 2020283140 dated Mar. 30, 2022, 4 pgs.
Notice of Allowance issued in Canadian Application No. 3,140,008 dated May 5, 2022, 1 pg.
Office Action issued in Australian Patent Application No. 2020283140, dated Mar. 18, 2022, 5 pgs.
Office Action issued in U.S. Appl. No. 17/543,200, dated Mar. 9, 2022, 8 pages.
Office Action issued in U.S. Appl. No. 17/542,461, dated Mar. 10, 2022, 18 pages.
Office Action issued in U.S. Appl. No. 17/542,872, dated Mar. 11, 2022, 22 pages.
Office Action issued in U.S. Appl. No. 17/542,872, dated Mar. 17, 2022, 21 pages.
Office Action issued in U.S. Appl. No. 17/541,036, dated Mar. 31, 2022, 22 pages.
Office Action issued in U.S. Appl. No. 17/543,152, dated Apr. 19, 2022, 17 pages.
Office Action issued in U.S. Appl. No. 17/542,814, dated Apr. 25, 2022, 21 pages.
Vermeersch, “Influence of substrate thickness on thermal impedance of microelectronic structures”, Microelectronics Reliability, 47, 2007, pp. 437-443.
Office Action issued in U.S. Appl. No. 17/542,462, dated May 27, 2022, 28 pages.
Office Action issued in U.S. Appl. No. 17/542,461, dated Jun. 27, 2022, 13 pages.
Office Action issued in U.S. Appl. No. 17/543,200, dated Jul. 20, 2022, 25 pages.
Office Action issued in U.S. Appl. No. 17/746,622, dated Jul. 22, 2022, 19 pages.
Office Action issued in U.S. Appl. No. 17/541,036, dated Aug. 9, 2022, 22 pages.
Office Action issued in U.S. Appl. No. 17/746,640, dated Aug. 18, 2022, 19 pages.
Notice of Allowance issued in U.S. Appl. No. 17/542,465, dated Jul. 11, 2022, 18 pages.
Notice of Allowance issued in U.S. Appl. No. 17/542,872, dated Jul. 11, 2022, 13 pages.
Notice of Allowance issued in U.S. Appl. No. 17/543,152, dated Jul. 29, 2022, 16 pages.
Office Action issued in U.S. Appl. No. 17/542,814, dated Aug. 26, 2022, 22 pages.
Office Action issued in U.S. Appl. No. 17/540,021, dated Sep. 15, 2022, 40 pages.
Office Action issued in U.S. Appl. No. 17/542,462, dated Nov. 14, 2022, 11 pgs.
Notice of Allowance issued in U.S. Appl. No. 17/542,461, dated Oct. 12, 2022, 9 pages.
Notice of Allowance issued in U.S. Appl. No. 17/543,200, dated Nov. 3, 2022, 16 pages.
Notice of Allowance issued in U.S. Appl. No. 17/746,622, dated Nov. 8, 2022, 16 pages.
U.S. Appl. No. 17/543,152, filed Dec. 6, 2021, Bivolarsky et al.
U.S. Appl. No. 17/542,814, filed Dec. 6, 2021, Burcham et al.
U.S. Appl. No. 17/542,461, filed Dec. 5, 2021, Burcham et al.
U.S. Appl. No. 17/542,465, filed Dec. 5, 2021, Bivolarsky et al.
U.S. Appl. No. 17/542,872, filed Dec. 6, 2021, Bivolarsky et al.
U.S. Appl. No. 17/543,200, filed Dec. 6, 2021, Bivolarsky et al.
U.S. Appl. No. 17/746,622, filed May 17, 2022, Bivolarsky et al.
Notice of Allowance issued in U.S. Appl. No. 17/540,021, dated Mar. 6, 2023, 10 pgs.
Notice of Allowance issued in U.S. Appl. No. 17/541,036, dated Mar. 31, 2023, 9 pgs.
Office Action issued in U.S. Appl. No. 17/542,462, dated Mar. 17, 2023, 11 pgs.
Office Action issued in U.S. Appl. No. 17/542,814, dated Apr. 6, 2023, 17 pgs.
Supplementary Partial EP Search Report issued in EP20 813 097.1, dated Jan. 13, 2023, 16 pgs.
International Search Report and Written Opinion issued in PCT/US23/12923 dated May 3, 2023, 9 pgs.
Notice of Allowance issued in U.S. Appl. No. 17/746,640, dated May 12, 2023, 15 pgs.
Office Action issued in U.S. Appl. No. 18/109,022, dated May 5, 2023, 18 pgs.
Office Action issued in U.S. Appl. No. 18/111,376, dated Jun. 15, 2023, 28 pgs.
Office Action issued in U.S. Appl. No. 17/542,814, dated Jul. 19, 2023, 25 pgs.
Supplementary European Search Report issued in EP Application No. 20 813 097.1, dated May 24, 2023, 20 pgs.
Supplementary Partial European Search Report issued in EP Application No. 20 832 739.5, dated May 25, 2023, 16 pgs.
U.S. Appl. No. 18/142,467, filed May 2, 2023, Heim et al.
U.S. Appl. No. 18/223,987, filed Jul. 19, 2023, Bivolarsky et al.
International Search Report and Written Opinion issued in PCT/US23/022505 dated Jul. 21, 2023, 9 pgs.
International Search Report and Written Opinion issued in PCT/US23/022511 dated Jul. 28, 2023, 14 pgs.
Office Action issued in U.S. Appl. No. 17/542,462, dated Sep. 6, 2023, 11 pgs.
European Search Report issued in EP Application No. 20832739.5, dated Sep. 6, 2023, 14 pgs.
U.S. Appl. No. 17/540,021, filed Dec. 1, 2021, Heim et al.
U.S. Appl. No. 17/541,036, filed Dec. 2, 2021, Heim et al.
U.S. Appl. No. 17/746,640, filed May 17, 2022, Bivolarsky et al.
U.S. Appl. No. 17/542,814, filed Dec. 6, 2021, Bivolarsky et al.
U.S. Appl. No. 18/111,376, filed Feb. 17, 2023, Bivolarsky et al.
U.S. Appl. No. 17/542,462, filed Dec. 5, 2021, Bivolarsky et al.
U.S. Appl. No. 18/109,022, filed Feb. 13, 2023, Coleman et al.
Office Action issued in U.S. Appl. No. 18/142,467, dated Dec. 6, 2023, 11 pgs.
Notice of Allowance issued in Application Serial No. 18/223,987, dated Nov. 21, 2023, 8 pgs.
Notice of Allowance issued in Application Serial No. 17/542,462, dated Jan. 8, 2024, 11 pgs.
Related Publications (1)
Number Date Country
20220205951 A1 Jun 2022 US
Provisional Applications (1)
Number Date Country
63132106 Dec 2020 US