Embodiments of the present disclosure generally relate to the field of electrical measuring devices. More specifically, embodiments of the disclosure relate to systems and methods for an intelligent diagnostic probe configured to provide troubleshooting guidance during diagnosing faults within vehicle electrical systems.
Motor vehicles, such as automobiles and trucks, are becoming increasingly technologically sophisticated, requiring correspondingly more sophisticated testing equipment for maintenance and diagnostic testing. Much of the increased complexity of motor vehicles is due in part to the increased complexity of electrical circuitry and systems incorporated therein. Troubleshooting and diagnosing problems with such electrical systems requires the use of a wide array of complex test equipment.
Such test equipment may include, for example, devices commonly referred to as multi-meters that are configured to measure various electrical parameters, such as resistance, voltage, current, and the like. Other diagnostic testing that is typically performed on motor vehicle electrical systems includes logic probes that measure and detect the presence and polarity of voltages, as well as determining continuity in electrical circuits.
A drawback to conventional test equipment, however, is that while the complexity of vehicle electrical circuitry has skyrocketed, there remains little, if any, guidance available to practitioners attempting to detect and identify faults within such electrical systems. As such, there is a continuous need for testing equipment that is capable of guiding practitioners and assisting with troubleshooting during diagnosing faults within vehicle electrical systems.
A system and a method are provided for an intelligent diagnostic probe configured to provide troubleshooting guidance during diagnosing faults within vehicle electrical systems. The intelligent diagnostic probe is configured, in some embodiments, to receive raw measurement data, such as voltage, current, and resistance, from tools and take the data into an intelligence system so as to interpret the data and provide actionable output for practitioners operating the intelligent diagnostic probe. The intelligent diagnostic probe is configured, in some embodiments, to divide vehicle electrical diagnosis procedures of into segments, include appropriate tolerance ranges for readings, and provide feedback and suggestions regarding the readings. The intelligent diagnostic probe is configured, in some embodiments, to operate as an artificial intelligence that uses a large number of previously coded measurements to learn to accurately diagnose electrical faults based on currently measured raw data.
In an exemplary embodiment, an intelligent diagnostic probe for providing troubleshooting guidance during diagnosing faults within vehicle electrical systems comprises: a housing configured to be grasped in a hand; a conductive probe element protruding distally from the housing; a distal probe tip of the conductive probe element configured to be placed into contact with an electrical circuit; a display screen configured to display measurement data; a power cable extending from a bottom end of the housing and configured to be connected to a motor vehicle battery; and a ground lead coupled with the power cable and configured to be electrically connected a ground source.
In another exemplary embodiment, the intelligent diagnostic probe is configured to interpret the measurement data so as to provide actionable output for a practitioner operating the intelligent diagnostic probe. In another exemplary embodiment, the intelligent diagnostic probe is configured to divide diagnosing faults within the vehicle electrical system into procedural segments. In another exemplary embodiment, the intelligent diagnostic probe is configured to provide appropriate tolerance ranges related to the measurement data. In another exemplary embodiment, the intelligent diagnostic probe is configured to provide feedback and suggestions regarding the measurement data.
In another exemplary embodiment, the intelligent diagnostic probe is configured to operate as an artificial intelligence that uses a large number of previously coded measurements to learn to accurately diagnose electrical faults based on the current measurement data. In another exemplary embodiment, the intelligent diagnostic probe comprises a database server system which stores data that is needed during operation of the intelligent diagnostic probe. In another exemplary embodiment, the database server system comprises data specific to vehicle electrical diagnosis procedures, such as vehicle types, makes and models, measurable tolerance ranges for various components, and any other vehicle-related information that may be associated with operating the intelligent diagnostic probe. In another exemplary embodiment, the intelligent diagnostic probe is configured to predict vehicle electrical diagnoses by using the vehicle-related data stored in the database server system and raw measurement data to intelligently predict the most likely electrical faults.
In another exemplary embodiment, the intelligent diagnostic probe includes one or more illumination lights that are configured to convey visual indications to an operator of the probe. In another exemplary embodiment, the one or more illumination lights are light emitting diodes (LEDs) that are configured to emit green and red light so as to convey information to the operator. In another exemplary embodiment, a green light indicates a measured voltage that is close to a ground voltage and a red light indicates a voltage near a battery voltage.
In another exemplary embodiment, the display screen is configured to display different background colors to indicate different measurement modes. In another exemplary embodiment, the intelligent diagnostic probe is configured to provide an icon-based user interface. In another exemplary embodiment, the icon-based user interface includes any one or more of a Multimeter icon, an Injector icon, an EZ-Leaming icon, a Settings icon, a Guided Diagnostics icon, and a Sensors icon. In another exemplary embodiment, the intelligent diagnostic probe includes one or more navigation buttons and a selection button configured to facilitate an operator interacting with the icon-based user interface.
In another exemplary embodiment, the intelligent diagnostic probe further includes a guided multimeter functionality that is divided into a series guided segments in which suitable minimum and maximum values are shown in relation to each measured value. In another exemplary embodiment, the guided multimeter functionality is configured to facilitate measuring DC/AC voltages, electrical resistance, and electrical frequencies. In another exemplary embodiment, the intelligent diagnostic probe further includes a guided fuel injector analysis functionality that is configured to guide a practitioner through a series of steps comprising a fuel injector analysis. In another exemplary embodiment, the intelligent diagnostic probe further includes a sensor diagnosis functionality that is configured to guide a practitioner through a series of sensor analysis steps and provide troubleshooting based on measured values. In another exemplary embodiment, the intelligent diagnostic probe further includes a guided diagnostic functionality that is configured to guide a practitioner through a series of steps comprising measuring and diagnosing faults in various components comprising a vehicle electrical system.
The drawings refer to embodiments of the present disclosure in which:
While the present disclosure is subject to various modifications and alternative forms, specific embodiments thereof have been shown by way of example in the drawings and will herein be described in detail. The invention should be understood to not be limited to the particular forms disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure. It will be apparent, however, to one of ordinary skill in the art that the invention disclosed herein may be practiced without these specific details. In other instances, specific numeric references such as “first circuit,” may be made. However, the specific numeric reference should not be interpreted as a literal sequential order but rather interpreted that the “first circuit” is different than a “second circuit.” Thus, the specific details set forth are merely exemplary. The specific details may be varied from and still be contemplated to be within the spirit and scope of the present disclosure. The term “coupled” is defined as meaning connected either directly to the component or indirectly to the component through another component. Further, as used herein, the terms “about,” “approximately,” or “substantially” for any numerical values or ranges indicate a suitable dimensional tolerance that allows the part or collection of components to function for its intended purpose as described herein.
As the complexity of vehicle electrical circuity has increased, conventional testing equipment offered little, if any, guidance to practitioners attempting to detect and identify faults within such electrical systems. Therefore, a continuous need exists for testing equipment that is capable of guiding practitioners and assisting with troubleshooting during diagnosing faults within vehicle electrical systems. Provided herein, in some embodiments, are systems and methods for an intelligent diagnostic probe configured to provide troubleshooting guidance during diagnosing faults within vehicle electrical systems. The intelligent diagnostic probe is configured, in some embodiments, to receive raw measurement data, such as voltage, current, and resistance, from tools and take the data into an intelligence system so as to interpret the data and provide actionable output for practitioners operating the intelligent diagnostic probe. The intelligent diagnostic probe is configured, in some embodiments, to divide vehicle electrical diagnosis procedures of into segments, include appropriate tolerance ranges for readings, and provide feedback and suggestions regarding the readings. Further, in some embodiments, the intelligent diagnostic probe is configured as an artificial intelligence that uses a large number of previously coded measurements to learn to accurately diagnose electrical faults based on currently measured raw data.
In some embodiments, the intelligent diagnostic probe further comprises a database server system which stores any data that may be needed during the operation of the probe. In some embodiments, the database server system may comprise data specific to vehicle electrical diagnosis procedures, such as vehicle types, makes and models, measurable tolerance ranges for various components, and any other vehicle-related information that may be associated with operating the intelligent diagnostic probe. It is contemplated that, in some embodiments, the intelligent diagnostic probe may be configured to predict vehicle electrical diagnoses. For example, the intelligent diagnostic probe may use the vehicle-related data stored in the database server system and raw measurement data to intelligently predict the most likely electrical faults. With access to the database server system, the intelligent diagnostic probe may be configured as an artificial intelligence that uses a large number of previously coded events to learn to accurately diagnose electrical faults based on currently measured raw data. It is contemplated, therefore, that the intelligent diagnostic probe may be configured to provide a guidance and troubleshooting system that is exponentially more accurate than relying on practitioner experience alone.
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While the invention has been described in terms of particular variations and illustrative figures, those of ordinary skill in the art will recognize that the invention is not limited to the variations or figures described. In addition, where methods and steps described above indicate certain events occurring in certain order, those of ordinary skill in the art will recognize that the ordering of certain steps may be modified and that such modifications are in accordance with the variations of the invention. Additionally, certain of the steps may be performed concurrently in a parallel process when possible, as well as performed sequentially as described above. To the extent there are variations of the invention, which are within the spirit of the disclosure or equivalent to the inventions found in the claims, it is the intent that this patent will cover those variations as well. Therefore, the present disclosure is to be understood as not limited by the specific embodiments described herein, but only by scope of the appended claims.
This application is a divisional of U.S. Non-Provisional patent application Ser. No. 16/446,493 filed Jun. 19, 2019, which claims the benefit of and priority to U.S. Provisional Patent Application Ser. No. 62/687,185 filed Jun. 19, 2018.
Number | Date | Country | |
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62687185 | Jun 2018 | US |
Number | Date | Country | |
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Parent | 16446493 | Jun 2019 | US |
Child | 18889507 | US |