A power equipment detection method, device, apparatus and storage medium

Abstract

Embodiments of the present application disclose a power equipment detection method, device, equipment and storage medium, wherein the method comprises: obtaining temperature information of a target equipment, determining marking information of the target equipment according to the temperature information; determining a safety analysis result according to operation information and the marking information of the target equipment; counting early warning information in the safety analysis result, and sending the early warning information to a preset terminal. The technical scheme of the embodiments of the present application solves the problem that the prior art usually analyzes the fault of power equipment from a single angle, and the analysis result is inaccurate, and can comprehensively analyze the fault of power equipment from multiple angles such as equipment temperature data and operation data, thereby improving the accuracy of fault analysis.

Description

Technical Field

[0001] The present invention relates to the field of power equipment analysis technology, and in particular to a power equipment testing method, apparatus, device and storage medium. Background Technology

[0002] Traditionally, product technical services have typically involved technicians visiting the site or users sending their equipment to a technical support center for maintenance. While telephone support is widely used to reduce the operational costs and timeliness associated with on-site service, its efficiency remains low and significantly increases costs. Technical support and maintenance often rely on verbal communication between technicians and users, which is time-consuming and prone to errors. Furthermore, in remote operation and maintenance management of power IoT terminals, fault analysis is often performed from a single perspective, which can lead to inaccurate results and equipment malfunctions during use, potentially causing hazards. This approach requires improvement. Summary of the Invention

[0003] This invention provides a method, apparatus, device, and storage medium for detecting power equipment, which can perform comprehensive fault analysis of power equipment from multiple perspectives, such as equipment temperature data and operating data, thereby improving the accuracy of fault analysis.

[0004] In a first aspect, embodiments of the present invention provide a method for testing power equipment, the method comprising:

[0005] The system acquires the temperature information of the target device and determines the marking information of the target device based on the temperature information. Based on the operating information and marking information of the target device, the system determines the safety analysis results. The system then compiles the early warning information in the safety analysis results and sends the early warning information to a preset terminal.

[0006] In a second aspect, embodiments of the present invention provide a power equipment testing device, the device comprising:

[0007] The marking information determination module is used to acquire the temperature information of the target device and determine the marking information of the target device based on the temperature information; the safety analysis module is used to determine the safety analysis result based on the operating information and marking information of the target device; the analysis result feedback module is used to collect the early warning information in the safety analysis result and send the early warning information to a preset terminal.

[0008] Thirdly, embodiments of the present invention provide a computer device, the computer device comprising:

[0009] One or more processors;

[0010] Memory, used to store one or more programs;

[0011] When the one or more programs are executed by the one or more processors, the one or more processors implement the power equipment detection method described in any embodiment.

[0012] Fourthly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the power equipment detection method described in any embodiment.

[0013] The technical solution provided by this invention acquires the temperature information of a target device, determines the marking information of the target device based on the temperature information, determines the safety analysis result based on the operating information and marking information of the target device, statistically analyzes the warning information in the safety analysis result, and sends the warning information to a preset terminal. This invention solves the problem that existing technologies typically analyze power equipment faults from a single perspective, which can easily lead to inaccurate analysis results. It allows for comprehensive fault analysis of power equipment from multiple perspectives, such as equipment temperature data and operating data, thereby improving the accuracy of fault analysis. Attached Figure Description

[0014] Figure 1 This is a flowchart of a power equipment testing method provided by an embodiment of the present invention;

[0015] Figure 2 This is a flowchart of another power equipment testing method provided by an embodiment of the present invention;

[0016] Figure 3 This is a flowchart illustrating a process for testing power equipment according to an embodiment of the present invention;

[0017] Figure 4 This is a schematic diagram of the structure of a power equipment testing device provided in an embodiment of the present invention;

[0018] Figure 5 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Figure 1This is a flowchart of a power equipment testing method provided by an embodiment of the present invention. The embodiment of the present invention can be applied to scenarios of fault detection of power equipment. The method can be executed by a power equipment testing device, which can be implemented by software and / or hardware.

[0021] like Figure 1 As shown, the power equipment testing method includes the following steps:

[0022] S110. Obtain the temperature information of the target device, and determine the marking information of the target device based on the temperature information.

[0023] The target device can be an electrical device requiring safety testing. The temperature information can be real-time temperature data of the target device during operation. For example, real-time temperature data of the target device during operation can be collected based on a preset time window, and the collected real-time temperature data can be used as the temperature information. The marking information can be information used to indicate whether the temperature of the target device is abnormal. Specifically, based on the temperature information, the temperature change range of the target device can be determined. If the temperature data of the target device is determined to be abnormal based on the temperature change range, an abnormality mark is added to the target device, and the number of abnormality marks on the target device is used as the marking information.

[0024] S120. Determine the security analysis result based on the operating information and marking information of the target device.

[0025] The operational information can be the operating parameters of the target device when it is in operation. Specifically, the operational information may include operating voltage, operating current, and operating duration. The safety analysis results can be the results obtained from a safety analysis of the target device. Specifically, a safety analysis can be performed on the target device based on the operational information and the marking information to obtain the corresponding safety analysis results.

[0026] S130. Calculate the early warning information in the security analysis results and send the early warning information to a preset terminal.

[0027] The warning information can be a prompt message corresponding to abnormal information in the security analysis results. Specifically, during the security analysis of the target device, if an anomaly is found in a certain data of the target device, a warning message corresponding to the abnormal data can be generated. The preset terminal can be a terminal used to receive the fault detection results of the target device. Specifically, the warning information generated in the above steps can be sent to the preset terminal to prompt relevant personnel to pay close attention to the abnormal information of the target device.

[0028] The technical solution provided by this invention acquires the temperature information of a target device, determines the marking information of the target device based on the temperature information, determines the safety analysis result based on the operating information and marking information of the target device, statistically analyzes the warning information in the safety analysis result, and sends the warning information to a preset terminal. This invention solves the problem that existing technologies typically analyze power equipment faults from a single perspective, which can easily lead to inaccurate analysis results. It allows for comprehensive fault analysis of power equipment from multiple perspectives, such as equipment temperature data and operating data, thereby improving the accuracy of fault analysis.

[0029] Figure 2 This is a flowchart of another power equipment detection method provided by an embodiment of the present invention. The embodiments of the present invention can be applied to scenarios of fault detection of power equipment. Based on the above embodiments, this embodiment further explains how to obtain the temperature information of the target equipment, determine the marking information of the target equipment based on the temperature information, and how to determine the safety analysis result based on the operating information and marking information of the target equipment. The device can be implemented by software and / or hardware and integrated into a computer device with application development capabilities.

[0030] like Figure 2 As shown, the power equipment testing method includes the following steps:

[0031] S210. Within a preset time window, acquire the real-time temperature data of the target device.

[0032] The preset time window can be a pre-defined time window for analyzing the device's temperature data. Specifically, the preset time window can be manually selected. The target device can be electrical equipment requiring safety testing. The real-time temperature data can be the temperature data of the target device at various moments within the preset time window. For example, while the target device is in operation, a period of time can be selected based on the preset time window, and the real-time temperature change data during that period can be obtained to obtain the real-time temperature data.

[0033] S220. Determine the temperature change coefficient of the target device based on the real-time temperature data and the reference temperature value.

[0034] The reference temperature value can be a temperature value used to evaluate the temperature data. This reference temperature value can be set manually. The temperature change coefficient can be a parameter used to represent the magnitude of temperature change in the equipment. The temperature change coefficient is positively correlated with the probability of the target equipment malfunctioning; that is, the higher the temperature change coefficient, the greater the probability of the target equipment malfunctioning. Specifically, real-time temperature data and the reference temperature value can be substituted into a preset formula for calculating the temperature change coefficient to obtain the temperature change coefficient of the target equipment.

[0035] For example, the real-time temperature value corresponding to the operation of the target device can be obtained within a preset time window to form a time series, and the real-time temperature value can be represented by the function S(t) according to the time series;

[0036] Through formula The temperature change coefficient φ corresponding to the operation of the target equipment is calculated, where s(t) represents the preset standard temperature change curve corresponding to the operation of the target equipment, and Sstandard represents the standard temperature value (i.e., the reference temperature value) corresponding to the operation of the target equipment.

[0037] S230. Determine the marking information of the target device based on the temperature change coefficient and the reference temperature change range.

[0038] The reference temperature range can be used to evaluate the temperature change coefficient. This range can also be manually set. By comparing the temperature change coefficient with the reference temperature range, it can be determined whether the temperature change coefficient is too large, and thus, it can be analyzed whether the target equipment has a high probability of malfunctioning. The marking information can be used to indicate whether the temperature of the target equipment is abnormal. Specifically, if the temperature change coefficient of the target equipment is within the normal range, the target equipment may not be marked; if the temperature change coefficient of the target equipment is not within the normal range, the target equipment may be marked. Finally, the number of times the target equipment is marked can be used as the marking information.

[0039] Specifically, if the temperature change coefficient is less than the minimum value of the reference temperature change range, the target device may not be marked; if the temperature change coefficient is greater than the minimum value of the reference temperature change range but less than the maximum value of the reference temperature change range, the target device may be marked; if the temperature change coefficient is greater than the maximum value of the reference temperature change range, the target device may be marked, and a first warning signal may be generated. The first warning signal can be used to indicate abnormal temperature data of the target device. When the temperature change coefficient is greater than the maximum value of the reference temperature change range, it indicates that the temperature change of the target device is too large during operation, and the target device may have malfunctioned. Therefore, generating a first warning signal can prompt relevant personnel to focus on checking the target device.

[0040] For example, the temperature change coefficient φ corresponding to the operation of the target device is compared with the preset reference temperature change range [φ1, φ2].

[0041] If the temperature change coefficient φ corresponding to the operation of the target device is less than φ1, then there is no need to mark the target device.

[0042] If the temperature change coefficient φ corresponding to the operation of the target device is between [φ1, φ2], then the target device is marked once;

[0043] If the temperature change coefficient φ of the target device is greater than φ2 during operation, a first warning signal should be output through the communication module, and the target device should be replaced.

[0044] The above technical solution calculates the temperature change coefficient φ corresponding to the target device's operation using a formula. This involves comparing the real-time temperature value of the target device with a preset standard temperature change curve to determine the temperature change coefficient. A higher temperature change coefficient indicates a greater probability of the target device malfunctioning. The temperature change coefficient φ is then compared with a preset temperature change threshold [φ1, φ2]. If the temperature change coefficient φ < φ1, the target device is operating normally with no abnormal temperature changes, and no marking is required. If the temperature change coefficient φ is between [φ1, φ2], the target device's temperature change is abnormal, and it is marked. If the temperature change coefficient φ > φ2, the target device's temperature change is too large, and a first warning signal can be output.

[0045] S240: Obtain the target device's type information, runtime information, and tag information.

[0046] The type information can be information indicating the device type of the target device. For example, the type coefficient corresponding to the target device can be obtained and used as the type information. The runtime information can be information indicating the duration for which the target device has been in a running state.

[0047] S250. Determine the fault risk coefficient of the target device based on the type information, runtime information, and marking information of the target device.

[0048] The fault risk coefficient represents the risk of a target device failing. Specifically, the fault risk coefficient is positively correlated with the probability of a target device failing. That is, the higher the fault risk coefficient, the greater the probability of the target device failing. Furthermore, the reference runtime of the target device can be obtained. The target device's type information, runtime information, reference runtime, and marking information are then substituted into the formula for calculating the fault risk coefficient to obtain the fault risk coefficient for the target device. The reference runtime can be a standard duration used to evaluate the device's runtime. The reference runtime can be manually set.

[0049] For example, it can be done through formula The failure risk coefficient Krisk for the target device to fail during operation is calculated.

[0050] Where μtype represents the type coefficient corresponding to the target device, T and T′ represent the allowed duration and reference allowed duration corresponding to the target device, respectively, ΔT represents the allowable difference corresponding to the runtime, and n represents the number of times the target device is marked;

[0051] S260. If the fault risk coefficient is greater than the preset risk coefficient, perform a safety analysis on the target device and obtain the safety analysis result.

[0052] The preset risk coefficient can be a reference coefficient used to assess the failure risk. If the failure risk coefficient is greater than the preset risk coefficient, it indicates a higher probability of the target device failing, thus allowing for further safety analysis of the target device. The safety analysis result can be the result of a safety analysis of the target device.

[0053] For example, the risk coefficient Krisk of the target device failing during operation can be compared with a preset risk threshold (i.e., a preset risk coefficient) K′.

[0054] If the risk coefficient Krisk≤K′ of the target device malfunctioning during operation, then there is no need to perform a safety analysis on the target device.

[0055] If the risk coefficient Krisk > K′ of the target device malfunctioning during operation, then a safety analysis of the target device is required.

[0056] Optionally, the safety analysis of the target device includes: acquiring basic operating information of the target device; wherein the basic operating information includes: operating voltage value and operating current value; determining the operating deviation coefficient of the target device based on the operating voltage value and reference voltage value, and the operating current value and reference current value; and performing a safety early warning analysis on the target device if the operating deviation coefficient is greater than a preset deviation coefficient.

[0057] The reference current value can be a preset reference value used to evaluate the operating voltage value. Specifically, the operating voltage value, reference voltage value, operating current value, and reference current value can be substituted into the formula for calculating the operating deviation coefficient to obtain the operating deviation coefficient of the target equipment. The operating deviation coefficient is positively correlated with the probability of the target equipment failing. That is, the larger the operating deviation coefficient, the higher the probability of the target equipment failing. The operating deviation coefficient can be a preset reference coefficient used to evaluate the operating deviation coefficient. If the operating deviation coefficient is greater than the preset deviation coefficient, it indicates that the operating deviation coefficient of the target equipment is too high, and therefore further safety warning analysis can be performed.

[0058] For example, it can be done through formula Determine the operating stability coefficient (i.e., operating deviation coefficient) α corresponding to the target equipment during operation;

[0059] Where V and I represent the operating voltage and operating current values ​​corresponding to the target device during operation, respectively; V′ and I′ represent the reference voltage and reference current values ​​corresponding to the target device during operation, respectively; and c1 and c2 represent the preset weighting coefficients.

[0060] The operating stability coefficient α corresponding to the target device during operation is compared with the preset operating stability threshold α′.

[0061] If the operating stability coefficient α ≤ α′ of the target device during operation, then no further safety warning analysis is required;

[0062] If the operating stability coefficient α of the target device is greater than α′, further safety warning analysis is required.

[0063] Optionally, a safety early warning analysis is performed on the target equipment, including: determining the fault assessment coefficient of the target equipment based on the fault risk coefficient, the preset risk coefficient, the operation deviation coefficient, and the preset deviation coefficient; generating a second early warning signal when the fault assessment coefficient is not greater than the preset fault assessment coefficient; and generating a second early warning signal and an early warning prompt signal when the fault assessment coefficient is greater than the preset fault assessment coefficient.

[0064] The fault assessment coefficient can be a parameter used to assess the fault of the target equipment. The fault assessment coefficient is positively correlated with the probability of the target equipment malfunctioning. That is, the larger the operating deviation coefficient, the higher the probability of the target equipment malfunctioning. Specifically, the fault risk coefficient, preset risk coefficient, operating deviation coefficient, and preset deviation coefficient can be substituted into the formula for calculating the fault assessment coefficient to obtain the fault assessment coefficient of the target equipment. The preset fault assessment coefficient can be a preset standard parameter for judging the fault assessment coefficient. The second warning signal can be a prompt message indicating abnormal operating data of the target equipment. After performing safety warning analysis on the target equipment, a second warning signal can be generated regardless of the magnitude of the fault assessment coefficient. Furthermore, the warning prompt signal can be a prompt signal regarding the second warning signal. When the fault assessment coefficient is greater than the preset fault assessment coefficient, it indicates a significant abnormality in the operating data of the target equipment. Therefore, when the fault assessment coefficient is greater than the preset fault assessment coefficient, a second warning signal and a warning prompt signal can be generated to prompt relevant personnel to pay close attention.

[0065] For example, this can be achieved using the formula P = ω1*(Krisk - K′) + ω2*(α - α′).

[0066] The comprehensive evaluation coefficient (i.e., the fault evaluation coefficient) P for the failure that occurs during the operation of the target equipment;

[0067] Where ω1 and ω2 represent the preset correlation coefficients;

[0068] The comprehensive evaluation coefficient P for the failure of the target equipment during operation is compared with the preset comprehensive evaluation threshold P′.

[0069] If the comprehensive evaluation coefficient P ≤ P′ for a fault occurring during the operation of the target device, a second warning signal is issued to the target device.

[0070] If the comprehensive evaluation coefficient P > P′ for a fault occurring during the operation of the target device, then a second early warning signal and an early warning prompt signal will be issued to the target device.

[0071] Optionally, video information of the target device can be acquired, and an appearance evaluation coefficient of the target device can be determined based on the video information; if the appearance evaluation coefficient is less than a preset appearance evaluation coefficient, a third warning signal can be sent.

[0072] The video information can be video data corresponding to the target device. For example, the target device can be filmed using a pre-set camera to obtain video information. The appearance evaluation coefficient can be a parameter representing the degree of aging of the target device's appearance. The specific method for determining the appearance evaluation coefficient based on the video information is not limited here. For example, the video information can be input into a pre-trained video analysis model to obtain the appearance evaluation coefficient. Specifically, the appearance evaluation coefficient is negatively correlated with the degree of aging of the target device's appearance. That is, the smaller the appearance evaluation coefficient, the more severe the aging of the target device's appearance. The preset appearance evaluation coefficient can be a preset reference coefficient used to judge the appearance evaluation coefficient. The third warning signal can be a prompt message indicating an abnormal appearance of the target device. When the appearance evaluation coefficient is less than the preset appearance evaluation coefficient, it indicates that the target device's appearance is severely aged, which may affect the operation of the target device; therefore, a third warning signal can be generated.

[0073] S270. Calculate the early warning information in the security analysis results and send the early warning information to a preset terminal.

[0074] The warning information may include the first, second, and third warning signals mentioned above. The preset terminal may be a terminal used to receive fault detection results from the target device. Specifically, the warning signals generated in the above steps can all be sent to the preset terminal to prompt relevant personnel to pay close attention to the fault information of the target device.

[0075] For example, in order to better understand the technical solution provided by the present invention, specific embodiments are described below: Figure 3 This is a flowchart illustrating a process for testing power equipment according to an embodiment of the present invention. Figure 3 As shown, the workflow for testing electrical equipment includes the following steps:

[0076] S1. Remotely acquire the operating information and video information corresponding to the target device;

[0077] S2. Analyze and process the operation information and video information corresponding to the target device, perform a security analysis on the target device based on the analysis results, and formulate early warning strategies based on the analysis results;

[0078] S3. Execute the early warning strategy and output an early warning signal;

[0079] S4. Send notification information to staff.

[0080] The technical solution provided by this invention remotely acquires and analyzes the corresponding operating information and video information of the target device, and then performs a safety analysis on the target device based on the analysis results. Based on the analysis results, an early warning strategy is formulated, the early warning strategy is executed, and an early warning signal is output to notify the staff, thereby effectively reducing the occurrence of dangerous situations caused by malfunctions of the target device during use.

[0081] Furthermore, by identifying and marking target equipment that exhibits malfunctions and significant temperature variations during operation as hazardous equipment, and then applying this marking information to the early warning identification process, the accuracy of the judgment is effectively improved, thereby significantly reducing the occurrence of dangerous situations caused by malfunctions of target equipment during use.

[0082] The technical solution provided by this invention involves: acquiring real-time temperature data of the target device within a preset time window; determining the temperature change coefficient of the target device based on the real-time temperature data and a reference temperature value; determining the marking information of the target device based on the temperature change coefficient and the reference temperature change range; acquiring the type information, runtime information, and marking information of the target device; determining the fault risk coefficient of the target device based on the type information, runtime information, and marking information; performing a safety analysis on the target device when the fault risk coefficient is greater than a preset risk coefficient, obtaining the safety analysis result; statistically analyzing the warning information in the safety analysis result, and sending the warning information to a preset terminal. This technical solution solves the problem that existing technologies typically analyze power equipment faults from a single perspective, which can easily lead to inaccurate analysis results. It allows for comprehensive fault analysis of power equipment from multiple perspectives, such as equipment temperature data and operating data, thereby improving the accuracy of fault analysis.

[0083] Figure 4 This is a schematic diagram of the structure of a power equipment detection device provided in an embodiment of the present invention. The embodiment of the present invention can be applied to scenarios of fault detection of power equipment. The device can be implemented by software and / or hardware and integrated into a computer device with application development capabilities.

[0084] like Figure 4 As shown, the power equipment detection device includes: a marker information determination module 310, a safety analysis module 320, and an analysis result feedback module 330.

[0085] The marking information determination module 310 is used to acquire the temperature information of the target device and determine the marking information of the target device based on the temperature information; the safety analysis module 320 is used to determine the safety analysis result based on the operating information and marking information of the target device; and the analysis result feedback module 330 is used to collect the early warning information in the safety analysis result and send the early warning information to a preset terminal.

[0086] The technical solution provided by this invention acquires the temperature information of a target device, determines the marking information of the target device based on the temperature information, determines the safety analysis result based on the operating information and marking information of the target device, statistically analyzes the warning information in the safety analysis result, and sends the warning information to a preset terminal. This invention solves the problem that existing technologies typically analyze power equipment faults from a single perspective, which can easily lead to inaccurate analysis results. It allows for comprehensive fault analysis of power equipment from multiple perspectives, such as equipment temperature data and operating data, thereby improving the accuracy of fault analysis.

[0087] In one optional implementation, the marking information determination module 310 is specifically used to: acquire real-time temperature data of the target device within a preset time window; determine the temperature change coefficient of the target device based on the real-time temperature data and a reference temperature value; and determine the marking information of the target device based on the temperature change coefficient and a reference temperature change range.

[0088] In an optional implementation, the marking information determination module 310 includes a temperature change coefficient analysis unit, configured to: not mark the target device when the temperature change coefficient is less than the minimum value of the reference temperature change range; mark the target device when the temperature change coefficient is greater than the minimum value of the reference temperature change range and less than the maximum value of the reference temperature change range; and mark the target device and generate a first warning signal when the temperature change coefficient is greater than the maximum value of the reference temperature change range.

[0089] In one optional implementation, the security analysis module 320 is specifically used to: acquire the type information, runtime information, and tag information of the target device; determine the fault risk coefficient of the target device based on the type information, runtime information, and tag information of the target device; and perform security analysis on the target device when the fault risk coefficient is greater than a preset risk coefficient to obtain the security analysis result.

[0090] In an optional implementation, the safety analysis module 310 includes: a safety analysis unit, configured to: acquire basic operating information of the target device; wherein the basic operating information includes: operating voltage value and operating current value; determine the operating deviation coefficient of the target device based on the operating voltage value and reference voltage value, and the operating current value and reference current value; and perform a safety early warning analysis on the target device if the operating deviation coefficient is greater than a preset deviation coefficient.

[0091] In one optional implementation, the safety analysis unit includes a safety early warning analysis subunit, configured to: determine the fault assessment coefficient of the target equipment based on the fault risk coefficient, the preset risk coefficient, the operation deviation coefficient, and the preset deviation coefficient; generate a second early warning signal if the fault assessment coefficient is not greater than the preset fault assessment coefficient; and generate a second early warning signal and an early warning prompt signal if the fault assessment coefficient is greater than the preset fault assessment coefficient.

[0092] In one optional implementation, the security analysis module 310 includes: an appearance analysis unit, configured to: acquire video information of the target device, and determine the appearance evaluation coefficient of the target device based on the video information; and send a third warning signal if the appearance evaluation coefficient is less than a preset appearance evaluation coefficient.

[0093] The power equipment testing device provided in this embodiment of the invention can execute the power equipment testing method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the method.

[0094] Figure 5 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. Figure 5 A block diagram of an exemplary computer device 12 suitable for implementing embodiments of the present invention is shown. Figure 5 The computer device 12 shown is merely an example and should not be construed as limiting the functionality or scope of the embodiments of the present invention. The computer device 12 can be any terminal device with computing capabilities and can be configured in a power equipment detection device.

[0095] like Figure 5 As shown, the computer device 12 is represented in the form of a general-purpose computing device. The components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, system memory 28, and a bus 18 connecting different system components (including system memory 28 and processing unit 16).

[0096] Bus 18 can be one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. For example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0097] Computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0098] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache 32. Computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 5 Not shown; usually referred to as a "hard drive"). Although Figure 5 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0099] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of the present invention.

[0100] Computer device 12 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable a user to interact with the computer device 12, and / or with any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed through input / output (I / O) interface 22. Furthermore, computer device 12 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) through network adapter 20. Figure 5 As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be understood that, although... Figure 5 As not shown, it can be used in conjunction with computer device 12 with other hardware and / or software modules, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0101] Processing unit 16 executes various functional applications and data processing by running programs stored in system memory 28, such as implementing the power equipment detection method provided in this embodiment of the invention, which includes:

[0102] The system acquires the temperature information of the target device and determines the marking information of the target device based on the temperature information. Based on the operating information and marking information of the target device, the system determines the safety analysis results. The system then compiles the early warning information in the safety analysis results and sends the early warning information to a preset terminal.

[0103] This embodiment provides a computer-readable storage medium storing a computer program thereon. When executed by a processor, the program implements the power equipment detection method as provided in any embodiment of the present invention, including:

[0104] The system acquires the temperature information of the target device and determines the marking information of the target device based on the temperature information. Based on the operating information and marking information of the target device, the system determines the safety analysis results. The system then compiles the early warning information in the safety analysis results and sends the early warning information to a preset terminal.

[0105] The computer storage medium of this invention can be any combination of one or more computer-readable media. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. For example, a computer-readable storage medium can be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0106] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0107] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0108] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0109] Those skilled in the art will understand that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby allowing them to be stored in a storage device for execution by a computing device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0110] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A method for testing electrical equipment, characterized in that, include: Acquire real-time temperature data of the target device within a preset time window; Based on the real-time temperature data and reference temperature values, the temperature change coefficient of the target device is determined; The marking information of the target device is determined based on the temperature change coefficient and the reference temperature change range; The security analysis results are determined based on the operating information and marking information of the target device; The system collects early warning information from the security analysis results and sends the early warning information to a preset terminal. The formula for determining the temperature change coefficient is as follows: ； in, The temperature change coefficient corresponding to the operation of the target device is calculated using a function based on real-time temperature data in a time series. express, This represents the standard temperature change curve corresponding to the preset target device during operation. This is represented as the reference temperature value corresponding to the operation of the target device.

2. The method according to claim 1, characterized in that, The step of determining the marking information of the target device based on the temperature change coefficient and the reference temperature change range includes: If the temperature change coefficient is less than the minimum value of the reference temperature change range, the target device will not be marked. If the temperature change coefficient is greater than the minimum value of the reference temperature change range and less than the maximum value of the reference temperature change range, the target device is marked. If the temperature change coefficient is greater than the maximum value of the reference temperature change range, the target device is marked and a first warning signal is generated.

3. The method according to claim 1, characterized in that, The step of determining the security analysis result based on the target device's operating information and tagging information includes: Obtain the target device's type information, runtime information, and tagging information; The failure risk coefficient of the target device is determined based on the type information, runtime information, and tagging information of the target device; When the fault risk coefficient is greater than the preset risk coefficient, a safety analysis is performed on the target device to obtain the safety analysis result.

4. The method according to claim 3, characterized in that, The security analysis of the target device includes: Obtain the basic operating information of the target device; wherein, the basic operating information includes: operating voltage value and operating current value; Based on the operating voltage value and reference voltage value, as well as the operating current value and reference current value, determine the operating deviation coefficient of the target equipment; If the operational deviation coefficient is greater than the preset deviation coefficient, a safety early warning analysis is performed on the target equipment.

5. The method according to claim 4, characterized in that, The security early warning analysis of the target device includes: The fault assessment coefficient of the target equipment is determined based on the fault risk coefficient, the preset risk coefficient, the operating deviation coefficient, and the preset deviation coefficient. If the fault assessment coefficient is not greater than the preset fault assessment coefficient, a second early warning signal is generated. If the fault assessment coefficient is greater than the preset fault assessment coefficient, a second early warning signal and an early warning prompt signal are generated.

6. The method according to claim 1, characterized in that, The method further includes: Acquire video information of the target device, and determine the appearance evaluation coefficient of the target device based on the video information; If the appearance evaluation coefficient is less than the preset appearance evaluation coefficient, a third warning signal is sent.

7. A power equipment testing device, characterized in that, The device includes: The tagging information determination module is used to acquire real-time temperature data of the target device within a preset time window; determine the temperature change coefficient of the target device based on the real-time temperature data and a reference temperature value; and determine the tagging information of the target device based on the temperature change coefficient and a reference temperature change range. The security analysis module is used to determine the security analysis results based on the operating information and marking information of the target device; The analysis result feedback module is used to collect the early warning information in the security analysis results and send the early warning information to a preset terminal; The formula for determining the temperature change coefficient is as follows: ； in, The temperature change coefficient corresponding to the operation of the target device is calculated using a function based on real-time temperature data in a time series. express, This represents the standard temperature change curve corresponding to the preset target device during operation. This is represented as the reference temperature value corresponding to the operation of the target device.

8. A computer device, characterized in that, The computer device includes: One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the power equipment detection method as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the power equipment detection method as described in any one of claims 1-6.

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