This disclosure relates generally to information handling systems, and more particularly relates to predicting and mitigating corrosion in an information handling system.
As the value and use of information continues to increase, individuals and businesses seek additional ways to process and store information. One option is an information handling system. An information handling system generally processes, compiles, stores, and/or communicates information or data for business, personal, or other purposes. Because technology and information handling needs and requirements may vary between different applications, information handling systems may also vary regarding what information is handled, how the information is handled, how much information is processed, stored, or communicated, and how quickly and efficiently the information may be processed, stored, or communicated. The variations in information handling systems allow for information handling systems to be general or configured for a specific user or specific use such as financial transaction processing, reservations, enterprise data storage, or global communications. In addition, information handling systems may include a variety of hardware and software resources that may be configured to process, store, and communicate information and may include one or more computer systems, data storage systems, and networking systems.
It will be appreciated that for simplicity and clarity of illustration, elements illustrated in the Figures have not necessarily been drawn to scale. For example, the dimensions of some of the elements are exaggerated relative to other elements. Embodiments incorporating teachings of the present disclosure are shown and described with respect to the drawings presented herein, in which:
The use of the same reference symbols in different drawings indicates similar or identical items.
The following description in combination with the Figures is provided to assist in understanding the teachings disclosed herein. The following discussion will focus on specific implementations and embodiments of the teachings. This focus is provided to assist in describing the teachings, and should not be interpreted as a limitation on the scope or applicability of the teachings. However, other teachings can certainly be used in this application. The teachings can also be used in other applications, and with several different types of architectures, such as distributed computing architectures, client/server architectures, or middleware server architectures and associated resources.
The logging and remediation processes can be implemented by various processors included at an information handling system, including microprocessors or microcomputers included at an embedded controller (EC), a service processor, a baseboard management controller (BMC), a battery management microcontrollers, and the like. The remediation process can include thermal stress utilities or tests that are primarily utilized to evaluate the operation of cooling infrastructure at the information handling system. When activated, the thermal stress test can increase the temperature at the information handling system and thereby minimize or eliminate condensation.
System 100 can include additional processors (not shown at
BIOS 172 can be referred to as a firmware image, and the term BIOS is herein used interchangeably with the term firmware image, or simply firmware. BIOS 172 includes instructions executable by CPU 102 to initialize and test the hardware components of system 100, and to load a boot loader or an operating system (OS) from a mass storage device. BIOS 172 additionally provides an abstraction layer for the hardware, i.e. a consistent way for application programs and operating systems to interact with the keyboard, display, and other input/output devices. When power is first applied to information handling system 100, the system begins a sequence of initialization procedures. During the initialization sequence, also referred to as a boot sequence, components of system 100 are configured and enabled for operation, and device drivers can be installed. Device drivers provide an interface through which other components of the system 100 can communicate with a corresponding device.
Information handling system 100 can include additional components and additional busses, not shown for clarity. For example, system 100 can include multiple processor cores, audio devices, and the like. While a particular arrangement of bus technologies and interconnections is illustrated for the purpose of example, one of skill will appreciate that the techniques disclosed herein are applicable to other system architectures. System 100 can include multiple CPUs and redundant bus controllers. One ore more components can be integrated together. For example, portions of northbridge/chipset 106 can be integrated within CPU 102. Additional components of information handling system 100 can include one or more storage devices that can store machine-executable code, one or more communications ports for communicating with external devices, and various input and output (I/O) devices, such as a keyboard, a mouse, and a video display. An example of information handling system 100 includes a multi-tenant chassis system where groups of tenants (users) share a common chassis, and each of the tenants has a unique set of resources assigned to them. The resources can include blade servers of the chassis, input/output (I/O) modules, Peripheral Component Interconnect-Express (PCIe) cards, storage controllers, and the like.
For purpose of this disclosure information handling system 100 can include any instrumentality or aggregate of instrumentalities operable to compute, classify, process, transmit, receive, retrieve, originate, switch, store, display, manifest, detect, record, reproduce, handle, or utilize any form of information, intelligence, or data for business, scientific, control, entertainment, or other purposes. For example, information handling system 100 can be a personal computer, a laptop computer, a smart phone, a tablet device or other consumer electronic device, a network server, a network storage device, a switch, a router, or another network communication device, or any other suitable device and may vary in size, shape, performance, functionality, and price. Further, information handling system 100 can include processing resources for executing machine-executable code, such as CPU 102, a programmable logic array (PLA), an embedded device such as a System-on-a-Chip (SoC), or other control logic hardware. Information handling system 100 can also include one or more computer-readable medium for storing machine-executable code, such as software or data.
Information handling system 100 can include multiple temperature sensors. For example, a battery can include a temperature sensor, in addition to an embedded controller for monitoring charging and discharging temperatures of a rechargeable battery. In one embodiment, temperature sensor 190 and humidity sensor 192 can be incorporated at a battery assembly, and the embedded controller can perform one or more of the detection, logging, and remediation techniques disclosed herein. Humidity sensor 192 is typically responsive to relative humidity; however a sensor capable of measuring absolute humidity or an approximation of either relative or absolute humidity can be utilized. For simplicity, the term humidity is used herein to mean any form of humidity measurement.
The method continues at block 202 where average values of the temperature and humidity information acquired at block 201 can be calculated. For example, the effect of short term fluctuations of humidity, and especially of temperature, can be reduced. The averaging calculation can be performed by an embedded controller, CPU 102, or by another processor included at system 100. The method proceeds to block 203 where the average temperature and humidity information can be logged. For example, a processor can store the averaged measurements at memory device local to processor performing the measurements, at system memory 104, or at another volatile or nonvolatile memory device. Method 200 continues at block 204 where a corrosion rate can be estimated based on the temperature and humidity logs, a physics failure model, and a corrosion initial rate. For example, an original equipment manufacturer (OEM) of an information handling system can perform corrosion testing of components that are incorporated into system 100, in order to determine how susceptible each component is to corrosion, referred to herein as an initial rate. A corrosion rate can be calculated using the equation:
Corrosion Rate=RH×e[−deltaH/KT]×r0 (1)
Where RH is a current or average relative humidity, r0 is an initial rate, deltaH is an activation energy associated with materials included at system 100, K is Boltzmann's constant, and T is a current or average temperature. A corrosion rate estimate can be determined based on information acquired, maintained, and refined by the OEM, including failure analysis data. For example, failure analysis of a malfunctioning information handling system can determine that the failure is due to corrosion of an electrical connector at the system. The OEM can review temperature and humidity logs maintained by the system. Over time, a correlation between temperature and humidity, and operating lifetime of the system, can be identified.
In an embodiment, the geographical location of the information handling system or other installation information can be included in a corrosion rate estimate. For example, an information handling system installed within a an air conditioned work environment will likely experience corrosion at a rate significantly lower than a system installed in a location without environmental controls, such as at remote monitoring or industrial facility. For another example, a system installed near an ocean coastline may be subjected to salt, which can greatly exacerbate corrosion.
Returning to block 202, the method also proceeds to block 205, where a dew temperature is estimated. For example, a dew temperature, also referred to as a dew point temperature, or simply dew point, can be approximated using the equation:
Td=T−(100−RH/5) (2)
Where Td is the dew temperature, T is the current or average temperature, and RH is the current or average relative humidity. This approximation is most accurate for values of relative humidity that are greater than fifty percent. In one embodiment, calculation of a dew point can be performed in response to the relative humidity increasing beyond a predetermined threshold, such as fifty percent. The method continues at decision block 206 where it determined whether the current temperature is at or below the dew temperature calculated at block 205. If the current temperature is above the calculated dew temperature, the method returns to block 205 where the dew temperature continues to be monitored. If the current temperature is at or below the calculated dew temperature, it is possible or likely that condensation of water vapor can occur within the information handling system. Corrosion, especially of metallic components, is greatly accelerated by condensation.
Method 200 continues at block 207, where the condensation event can be logged. For example, a time and duration of a condensation event can be stored with the temperature and humidity information logged at block 203. In addition, processes responsible for identifying the condensation event can forward a record of the condensation event to a system administrator or a service provider. For example, a monitoring procedure executing at BMC 180, at CPU 102, or at another embedded controller, can transmit a message identifying the condensation event to a remote location over network interface 140. The method concludes at block 204, where the corrosion rate can be calculated, as described above. Because corrosion is significantly more prominent in an environment where condensation has occurred, the corrosion estimation performed at block 204 may be performed only in response to detecting a condensation event.
At decision block 304 a determination is made regarding which power state the information handling system is currently operating in. If the system is currently operating normally, method 300 proceeds to block 305 where an operating system level thermal stress utility is started. The thermal stress test is typically a computation-intensive operation performed by CPU 102, a graphics processing unit, or the like. However, the stress test can be localized to one or more hardware devices, such as a network interface controller. Elevated circuit activity, increased clock rates, elevated power levels, and the like can increase a production of heat within information handling system 100. As described above, the thermal stress test is typically employed to verify correct operation of a cooling infrastructure provided by system 100, such as fans, heat pipes, radiators, and the like. In an embodiment, the thermal stress utility can be administered under system management mode (SMM) in response to a system management interrupt (SMI) issued by an embedded controller.
Returning to decision block 304, if the system is currently shutdown, or operating in a sleep or hibernating mode of operation, method 300 proceeds to block 306 where system 100 initialized and configured to operate in a boot-diagnostics environment, such as a pre-boot application. The boot diagnostic environment is a mode of operation that can be initiated prior to loading a primary operating system. The method continues at block 307 where a thermal stress test is initiated. In either type of thermal stress test, all or portion of the system cooling mechanisms can be partially or fully disabled so as to further increase temperatures within system 100. One of skill will appreciate that while an already existing thermal stress test can be repurposed for mitigation of a condensation event, a heat-generating procedure can be implemented that is dedicated to condensation mitigation.
Once a thermal stress test routine has been initiated, at blocks 305 or 307, the method proceeds to decision block 308, where a current operating temperature of system 100 is again compared to a dew temperature. Because the relative humidity and dew temperatures are a function of temperature, periodic measurements of current temperature and humidity at system 100 provided by sensors 190 and 192 can be used to monitor the effectiveness of the mitigation procedure. If the current temperature is greater than the dew temperature, the method proceeds to block 310 where the thermal stress test can be terminated. For example, BMC 180 can calculate a difference between the current temperature and the current dew temperature. If the temperature exceeds the dew temperature by a predetermined value, the heat-generating activities can be discontinued.
In one embodiment, the thermal stress test can include two or more levels of heat-generating activity. For example, a thermal stress test can be initially configured to generate considerable heat, and the process can be throttled down in response to determining the dew temperature is falling relative to the temperature at the system. Returning to decision block 308, if the current temperature is not greater than the dew temperature, the method proceeds to block 310 where the thermal stress test can be continued and the method returns to decision block 308 where the temperature and dew temperature are compared. If power to information handling system 100 is provided only by a battery, the mitigation procedure can be discontinued or fully preempted based on a present charge level of the battery.
At any time during execution of methods 200 and 300, information relating to humidity, dew temperature, or a condensation event can be transmitted to a system administrator or a service provider that is responsible for support or maintenance of information handling system 100. For example, such transmission can be triggered by detection of a condensation event at system 100. Alternatively, a remote support entity can manually or automatically interrogate system 100, requesting the environmental information.
Referring back to
In a networked deployment, the information handling system 100 may operate in the capacity of a server or as a client user computer in a server-client user network environment, or as a peer computer system in a peer-to-peer (or distributed) network environment. The information handling system 100 can also be implemented as or incorporated into various devices, such as a personal computer (PC), a tablet PC, a set-top box (STB), a personal digital assistant (PDA), a mobile device, a palmtop computer, a laptop computer, a desktop computer, a communications device, a wireless telephone, a land-line telephone, a control system, a camera, a scanner, a facsimile machine, a printer, a pager, a personal trusted device, a web appliance, a network router, switch or bridge, or any other machine capable of executing a set of instructions (sequential or otherwise) that specify actions to be taken by that machine. In a particular embodiment, the computer system 100 can be implemented using electronic devices that provide voice, video or data communication. Further, while a single information handling system 100 is illustrated, the term “system” shall also be taken to include any collection of systems or sub-systems that individually or jointly execute a set, or multiple sets, of instructions to perform one or more computer functions.
The information handling system 100 can include a disk drive unit and may include a computer-readable medium, not shown in
In an alternative embodiment, dedicated hardware implementations such as application specific integrated circuits, programmable logic arrays and other hardware devices can be constructed to implement one or more of the methods described herein. Applications that may include the apparatus and systems of various embodiments can broadly include a variety of electronic and computer systems. One or more embodiments described herein may implement functions using two or more specific interconnected hardware modules or devices with related control and data signals that can be communicated between and through the modules, or as portions of an application-specific integrated circuit. Accordingly, the present system encompasses software, firmware, and hardware implementations.
In accordance with various embodiments of the present disclosure, the methods described herein may be implemented by software programs executable by a computer system. Further, in an exemplary, non-limited embodiment, implementations can include distributed processing, component/object distributed processing, and parallel processing. Alternatively, virtual computer system processing can be constructed to implement one or more of the methods or functionality as described herein.
The present disclosure contemplates a computer-readable medium that includes instructions or receives and executes instructions responsive to a propagated signal; so that a device connected to a network can communicate voice, video or data over the network. Further, the instructions may be transmitted or received over the network via the network interface device.
While the computer-readable medium is shown to be a single medium, the term “computer-readable medium” includes a single medium or multiple media, such as a centralized or distributed database, and/or associated caches and servers that store one or more sets of instructions. The term “computer-readable medium” shall also include any medium that is capable of storing, encoding or carrying a set of instructions for execution by a processor or that cause a computer system to perform any one or more of the methods or operations disclosed herein.
In a particular non-limiting, exemplary embodiment, the computer-readable medium can include a solid-state memory such as a memory card or other package that houses one or more non-volatile read-only memories.
Further, the computer-readable medium can be a random access memory or other volatile re-writable memory. Additionally, the computer-readable medium can include a magneto-optical or optical medium, such as a disk or tapes or other storage device to store information received via carrier wave signals such as a signal communicated over a transmission medium. A digital file attachment to an e-mail or other self-contained information archive or set of archives may be considered a distribution medium that is equivalent to a tangible storage medium. Accordingly, the disclosure is considered to include any one or more of a computer-readable medium or a distribution medium and other equivalents and successor media, in which data or instructions may be stored.
Although only a few exemplary embodiments have been described in detail above, those skilled in the art will readily appreciate that many modifications are possible in the exemplary embodiments without materially departing from the novel teachings and advantages of the embodiments of the present disclosure. Accordingly, all such modifications are intended to be included within the scope of the embodiments of the present disclosure as defined in the following claims. In the claims, means-plus-function clauses are intended to cover the structures described herein as performing the recited function and not only structural equivalents, but also equivalent structures.
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Number | Date | Country | |
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20170089607 A1 | Mar 2017 | US |