Power equipment detection method and device, equipment and storage medium

Abstract

The embodiment of the invention discloses a power equipment detection method and device, equipment and a storage medium, and the method comprises the steps: obtaining the temperature information of target equipment, and determining the mark information of the target equipment according to the temperature information; determining a safety analysis result according to the operation information and the mark information of the target equipment; and carrying out statistics on early warning information in the safety analysis result, and sending the early warning information to a preset terminal. According to the technical scheme of the embodiment of the invention, the problem that the analysis result is easy to be inaccurate due to the fact that fault analysis is generally carried out on the power equipment from a single angle in the prior art is solved, comprehensive fault analysis can be carried out on the power equipment from multiple angles of equipment temperature data, operation data and the like, and the accuracy of fault analysis is improved.

Description

Technical Field

[0001] Embodiments of the present invention relate to the technical field of power equipment analysis, and in particular, to a power equipment detection method, device, equipment and storage medium. Background Art

[0002] For a long time, the technical service of products is usually provided by technicians going to the site, or asking users to send the equipment to the technical support center for maintenance. In order to reduce the operation and maintenance costs and timeliness of technicians going to the site, the technical support method of telephone service is widely used, but its efficiency is still not high, and it also greatly increases the cost of technical support. Usually, technical support and maintenance must rely on verbal communication between technicians and users, which is time-consuming and error-prone. In related technologies, when remotely operating and maintaining power Internet of Things terminals, fault analysis of the target device is usually performed from a single perspective, which is prone to inaccurate analysis results, causing the target device to fail during use, which in turn causes certain dangers, and there is room for improvement. Summary of the invention

[0003] The embodiments of the present invention provide a method, device, equipment and storage medium for detecting electric equipment, which can perform comprehensive fault analysis on electric equipment from multiple angles such as equipment temperature data and operation data, thereby improving the accuracy of fault analysis.

[0004] In a first aspect, an embodiment of the present invention provides a method for detecting an electric power device, the method comprising:

[0005] Acquire temperature information of the target device, and determine tag information of the target device according to the temperature information; determine a safety analysis result according to the operation information and tag information of the target device; collect warning information in the safety analysis result, and send the warning information to a preset terminal.

[0006] In a second aspect, an embodiment of the present invention provides an electric power equipment detection device, the device comprising:

[0007] A tag information determination module is used to obtain the temperature information of the target device and determine the tag information of the target device based on the temperature information; a security analysis module is used to determine the security analysis result based on the operation information and tag information of the target device; an analysis result feedback module is used to count the warning information in the security analysis result and send the warning information to a preset terminal.

[0008] In a third aspect, an embodiment of the present invention provides a computer device, the computer device comprising:

[0009] one or more processors;

[0010] A memory for storing 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] In a fourth aspect, an embodiment of the present invention provides 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 the embodiment of the present invention obtains the temperature information of the target device, determines the tag information of the target device according to the temperature information; determines the safety analysis result according to the operation information and tag information of the target device; counts the warning information in the safety analysis result, and sends the warning information to a preset terminal. The technical solution of the embodiment of the present invention solves the problem that the prior art usually analyzes the fault of the power equipment from a single angle, which is prone to inaccurate analysis results. It can conduct a comprehensive fault analysis of the power equipment from multiple angles such as equipment temperature data and operation data, thereby improving the accuracy of fault analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 is a flow chart of a power equipment detection method provided by an embodiment of the present invention;

[0015] Figure 2 is a flow chart of another method for detecting electric power equipment provided by an embodiment of the present invention;

[0016] Figure 3 This is a workflow diagram for performing power equipment detection provided by an embodiment of the present invention;

[0017] Figure 4 It is a structural schematic diagram of an electric power equipment detection device provided by an embodiment of the present invention;

[0018] Figure 5 It is a structural schematic diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Figure 1It is a flow chart of a method for detecting electric equipment provided in an embodiment of the present invention. The embodiment of the present invention can be applied to the scenario of fault detection of electric equipment. The method can be executed by an electric equipment detection device, and the device can be implemented by software and / or hardware.

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

[0022] S110: Acquire temperature information of a target device, and determine tag information of the target device according to the temperature information.

[0023] The target device may be an electrical device that needs to be tested for safety. The temperature information may be real-time temperature data of the target device in operation. Exemplarily, the real-time temperature data of the target device in operation may be collected based on a preset time window, and the collected real-time temperature data may be used as the temperature information. The marking information may be information used to indicate whether the temperature of the target device is abnormal. Specifically, the temperature variation of the target device may be determined based on the temperature information. When it is determined that the temperature data of the target device is abnormal based on the temperature variation, an abnormal mark may be added to the target device, and the number of abnormal marks of the target device may be used as the marking information.

[0024] S120: Determine a security analysis result according to the operation information and tag information of the target device.

[0025] The operation information may be operation parameter information of the target device in the operation state. Specifically, the operation information may include information such as the operation voltage value, the operation current value, and the operation duration. The safety analysis result may be the result obtained by performing a safety analysis on the target device. Specifically, a safety analysis may be performed on the target device based on the operation information and the tag information to obtain a corresponding safety analysis result.

[0026] S130: Collecting statistics on warning information in the security analysis results, and sending the warning information to a preset terminal.

[0027] The warning information may be prompt information corresponding to the abnormal information in the security analysis result. Specifically, during the security analysis of the target device, if a certain data of the target device is found to be abnormal, a warning information corresponding to the abnormal data may be generated. The preset terminal may be a terminal for receiving the fault detection result of the target device. Specifically, the warning information generated in the above steps may be sent to the preset terminal to prompt relevant personnel to pay special attention to the abnormal information of the target device.

[0028] The technical solution provided by the embodiment of the present invention obtains the temperature information of the target device, determines the tag information of the target device according to the temperature information; determines the safety analysis result according to the operation information and tag information of the target device; counts the warning information in the safety analysis result, and sends the warning information to a preset terminal. The technical solution of the embodiment of the present invention solves the problem that the prior art usually analyzes the fault of the power equipment from a single angle, which is prone to inaccurate analysis results. It can conduct a comprehensive fault analysis of the power equipment from multiple angles such as equipment temperature data and operation data, thereby improving the accuracy of fault analysis.

[0029] Figure 2 It is another flow chart of an electric power equipment detection method provided by an embodiment of the present invention. The embodiment of the present invention can be applied to the scenario of fault detection of electric power equipment. Based on the above embodiment, this embodiment further explains how to obtain the temperature information of the target device and determine the marking information of the target device according to the temperature information; and how to determine the safety analysis result according to the operation information and marking information of the target device. The device can be implemented by software and / or hardware and integrated in a computer device with application development function.

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

[0031] S210: Acquire real-time temperature data of the target device within a preset time window.

[0032] The preset time window may be a preset time window for analyzing the temperature data of the device. Specifically, the preset time window may be selected manually. The target device may be an electrical device that needs to be tested for safety. The real-time temperature data may be the temperature data of the target device at each moment within the preset time window. Exemplarily, when the target device is in operation, a period of time may be selected based on the preset time window, and the real-time temperature change data within the period of time may be obtained, thereby obtaining the real-time temperature data.

[0033] S220: Determine a temperature variation coefficient of the target device according to the real-time temperature data and a reference temperature value.

[0034] Among them, the reference temperature value can be a temperature value used to judge temperature data. The reference temperature value can be set manually. The temperature variation coefficient can be a parameter used to represent the temperature variation amplitude of the device. The temperature variation coefficient is positively correlated with the probability of failure of the target device, that is, the higher the temperature variation coefficient, the greater the probability of failure of the target device. Specifically, the real-time temperature data and the reference temperature value can be substituted into a preset formula for solving the temperature variation coefficient to obtain the temperature variation coefficient of the target device.

[0035] Exemplarily, 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 a function S(t) according to the time series;

[0036] By formula The temperature variation coefficient φ corresponding to the operation of the target device is calculated, wherein s(t) represents the preset standard temperature variation curve corresponding to the operation of the target device, and Sstandard represents the standard temperature value (i.e., the reference temperature value) corresponding to the operation of the target device;

[0037] S230: Determine the marking information of the target device according to the temperature variation coefficient and the reference temperature variation range.

[0038] Among them, the reference temperature variation range can be a range for judging the temperature variation coefficient. The reference temperature variation range can also be set manually. By comparing the temperature variation coefficient with the reference temperature variation range, it can be determined whether the temperature variation coefficient is too large, and then it can be analyzed whether the target device has a greater probability of failure. The marking information can be information used to indicate whether the temperature of the target device is abnormal. Specifically, when the temperature variation coefficient of the target device is within the normal range, the target device may not be marked; when the temperature variation coefficient of the target device is not within the normal range, the target device may be marked, and finally the number of times the target device is marked may be used as marking information.

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

[0040] Exemplarily, the temperature variation coefficient φ corresponding to the operation of the target device is compared with a preset reference temperature variation range [φ1, φ2];

[0041] If the temperature variation coefficient φ corresponding to the target device during operation is less than φ1, there is no need to mark the target device;

[0042] If the temperature variation coefficient φ of the target device is between [φ1, φ2] when it is running, the target device is marked once;

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

[0044] Through the above technical scheme, the temperature change coefficient φ corresponding to the operation of the target device is calculated by the formula, that is, the real-time temperature value corresponding to the operation of the target device is compared with the preset standard temperature change curve to confirm the temperature change coefficient, that is, the higher the temperature change coefficient, the greater the probability of failure of the target device, and then the temperature change coefficient φ corresponding to the operation of the target device is compared with the preset temperature change threshold [φ1, φ2]. If the temperature change coefficient φ corresponding to the operation of the target device is less than φ1, it indicates that the operation of the target device is normal and there is no abnormal temperature change, and there is no need to mark the target device. If the temperature change coefficient φ corresponding to the operation of the target device is between [φ1, φ2], it indicates that the temperature change of the target device is abnormal, and the target device is marked once. If the temperature change coefficient φ corresponding to the operation of the target device is greater than φ2, it indicates that the temperature change of the target device is too large, and the first warning signal can be output.

[0045] S240: Obtain type information, running time information, and tag information of the target device.

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

[0047] S250: Determine a failure risk coefficient of the target device according to the type information, the operation time information, and the mark information of the target device.

[0048] Among them, the failure risk coefficient can be a coefficient indicating the risk of failure of the target. Specifically, the failure risk coefficient is positively correlated with the probability of failure of the target. That is, the larger the failure risk coefficient, the greater the probability of failure of the target device. Furthermore, the reference operating time corresponding to the target device can be obtained, and the type information, operating time information, reference operating time and marking information of the target device are substituted into the formula for obtaining the failure risk coefficient, thereby obtaining the failure risk coefficient of the target device. Among them, the reference operating time can be a standard time for judging the operating time of the device. The reference operating time can be set manually.

[0049] For example, the formula Calculate the failure risk factor Krisk of a failure occurring during operation of the target device;

[0050] Among them, 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 allowed difference corresponding to the running duration, and n represents the number of markings corresponding to the target device;

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

[0052] The preset risk factor may be a preset reference factor for judging the fault risk factor. When the fault risk factor is greater than the preset risk factor, it indicates that the probability of the target device failing is high, so further safety analysis may be performed on the target device later. The safety analysis result may be the result obtained by performing a safety analysis on the target device.

[0053] Exemplarily, the risk factor Krisk of a failure occurring during operation of the target device may be compared with a preset risk threshold (i.e., a preset risk factor) K′;

[0054] If the risk factor of failure during operation of the target device Krisk≤K′, there is no need to conduct safety analysis on the target device;

[0055] If the risk factor Krisk of failure during the operation of the target device is greater than K′, a safety analysis of the target device is required.

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

[0057] Among them, the reference current value may be a preset reference value for judging the operating voltage value. The reference current value may be a preset reference value for judging the operating current value. Specifically, the operating voltage value, the reference voltage value, the operating current value and the reference current value may be substituted into the formula for obtaining the operating deviation coefficient, thereby obtaining the operating deviation coefficient of the target device. Among them, the operating deviation coefficient is positively correlated with the probability of failure of the target device. That is, the larger the operating deviation coefficient, the higher the probability of failure of the target device. The operating deviation coefficient may be a preset reference coefficient for judging the operating deviation coefficient. When the operating deviation coefficient is greater than the preset deviation coefficient, it means that the operating deviation coefficient of the target device is too high, so further safety warning analysis can be performed later.

[0058] For example, the formula Determine the operation stability coefficient (i.e., operation deviation coefficient) α corresponding to the operation of the target device;

[0059] Wherein, V and I respectively represent the operating voltage value and the operating current value corresponding to the operation of the target device, V′ and I′ respectively represent the reference voltage value and the reference current value corresponding to the operation of the target device, and c1 and c2 represent the preset weight coefficients;

[0060] Compare the operation stability coefficient α corresponding to the operation of the target device with the preset operation stability threshold α′;

[0061] If the corresponding operation stability coefficient α≤α′ when the target equipment is running, no further safety warning analysis is required;

[0062] If the corresponding operation stability coefficient α>α′ when the target equipment is running, further safety warning analysis is required.

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

[0064] Among them, the fault assessment coefficient can be a parameter for fault assessment of the target device. The fault assessment coefficient is positively correlated with the probability of failure of the target device. That is, the larger the operation deviation coefficient, the higher the probability of failure of the target device. Specifically, the fault risk coefficient, the preset risk coefficient, the operation deviation coefficient and the preset deviation coefficient can be substituted into the formula for obtaining the fault assessment coefficient, and then the fault assessment coefficient of the target device is obtained. 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 information that can be used to indicate that the operation data of the target device is abnormal. After the target device is subjected to a safety warning analysis, a second warning signal can be generated regardless of the size of the fault assessment coefficient. Further, the warning prompt signal can be a prompt signal about the second warning signal. When the fault assessment coefficient is greater than the preset fault assessment coefficient, it means that the abnormal state of the operation data of the target device is large, so 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 focus on it.

[0065] For example, it can be expressed by the formula P = ω1*(Krisk-K′)+ω2*(α-α′)

[0066] The comprehensive evaluation coefficient of the failure of the target device during operation (also known as the failure evaluation coefficient) P;

[0067] Among them, ω1 and ω2 represent the preset correlation coefficients respectively;

[0068] Compare the comprehensive evaluation coefficient P of the target device when a fault occurs during operation with the preset comprehensive evaluation threshold value P′;

[0069] If the comprehensive evaluation coefficient of a fault P≤P′ occurs 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′ of a fault that occurs during the operation of the target device, a second early warning signal and an early warning prompt signal are sent to the target device.

[0071] Optionally, video information of the target device may be obtained, and an appearance evaluation coefficient of the target device may be determined according to the video information; and a third warning signal may be sent when the appearance evaluation coefficient is less than a preset appearance evaluation coefficient.

[0072] Among them, the video information may be video data corresponding to the target device. Exemplarily, the target device may be photographed based on a preset camera device to obtain video information of the target device. The appearance evaluation coefficient may be a parameter indicating the degree of aging of the appearance of the target device. The specific method of determining the appearance evaluation coefficient according to the video information is not limited here. Exemplarily, the video information may 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 appearance of the target device. That is, the smaller the appearance evaluation coefficient, the more serious the degree of aging of the appearance of the target device. The preset appearance evaluation coefficient may be a preset reference coefficient for judging the appearance evaluation coefficient. The third warning signal may be a prompt information that can be used to indicate that the appearance of the target device is abnormal. When the appearance evaluation coefficient is less than the preset appearance evaluation coefficient, it indicates that the appearance of the target device is seriously aged, which may affect the operation of the target device, so the third warning signal may be generated.

[0073] S270: Collecting statistics on warning information in the security analysis results, and sending the warning information to a preset terminal.

[0074] The warning information may include the first warning signal, the second warning signal and the third warning signal. The preset terminal may be a terminal for receiving the fault detection result of the target device. Specifically, the warning signals generated in the above steps may be sent to the preset terminal to prompt relevant personnel to pay special 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, a specific embodiment is introduced below: Figure 3 FIG. 1 is a flowchart of a process for performing power equipment detection provided by an embodiment of the present invention. Figure 3 As shown, the workflow for power equipment detection includes the following steps:

[0076] S1. Remotely obtain the operation 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 security analysis on the target device based on the analysis results, and formulate an early warning strategy based on the analysis results of the security analysis;

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

[0079] S4. Send notification information to staff.

[0080] The technical solution provided by the embodiment of the present invention remotely obtains the operating information and video information corresponding to the target device, analyzes and processes the operating information and video information corresponding to the target device, and then performs a safety analysis on the target device based on the results of the analysis and processing, formulates an early warning strategy based on the analysis results of the safety analysis, executes the early warning strategy, outputs an early warning signal, and sends a notification information to the staff, thereby effectively reducing the occurrence of dangerous situations caused by failures of the target device during use.

[0081] In addition, by identifying target devices that have faults and large temperature changes during operation as dangerous devices and marking them, the marking information is applied to early warning identification and judgment, thereby effectively improving the accuracy of the judgment, thereby effectively reducing the occurrence of dangers caused by failures of target devices during use.

[0082] The technical solution provided by the embodiment of the present invention obtains the real-time temperature data of the target device within a preset time window; determines the temperature variation coefficient of the target device according to the real-time temperature data and the reference temperature value; determines the tag information of the target device according to the temperature variation coefficient and the reference temperature variation range; obtains the type information, operation time information and tag information of the target device; determines the failure risk coefficient of the target device according to the type information, operation time information and tag information of the target device; performs a safety analysis on the target device to obtain the safety analysis result when the failure risk coefficient is greater than the preset risk coefficient; counts the warning information in the safety analysis result, and sends the warning information to the preset terminal. The technical solution of the embodiment of the present invention solves the problem that the prior art usually performs fault analysis on power equipment from a single perspective, which is prone to inaccurate analysis results. It can perform comprehensive fault analysis on power equipment from multiple perspectives such as equipment temperature data and operation data to improve the accuracy of fault analysis.

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

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

[0085] Among them, the tag information determination module 310 is used to obtain the temperature information of the target device and determine the tag information of the target device based on the temperature information; the security analysis module 320 is used to determine the security analysis result based on the operation information and tag information of the target device; the analysis result feedback module 330 is used to count the warning information in the security analysis result and send the warning information to the preset terminal.

[0086] The technical solution provided by the embodiment of the present invention obtains the temperature information of the target device, determines the tag information of the target device according to the temperature information; determines the safety analysis result according to the operation information and tag information of the target device; counts the warning information in the safety analysis result, and sends the warning information to a preset terminal. The technical solution of the embodiment of the present invention solves the problem that the prior art usually analyzes the fault of the power equipment from a single angle, which is prone to inaccurate analysis results. It can conduct a comprehensive fault analysis of the power equipment from multiple angles such as equipment temperature data and operation data, thereby improving the accuracy of fault analysis.

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

[0088] In an optional embodiment, the marking information determination module 310 includes: a temperature variation coefficient analysis unit, used for: when the temperature variation coefficient is less than the minimum value of the reference temperature variation range, not marking the target device; when the temperature variation coefficient is greater than the minimum value of the reference temperature variation range and less than the maximum value of the reference temperature variation range, marking the target device; when the temperature variation coefficient is greater than the maximum value of the reference temperature variation range, marking the target device and generating a first warning signal.

[0089] In an optional implementation, the security analysis module 320 is specifically used to: obtain type information, operating time information and marking information of the target device; determine the failure risk coefficient of the target device based on the type information, operating time information and marking information of the target device; and when the failure risk coefficient is greater than a preset risk coefficient, perform a security analysis on the target device to obtain the security analysis result.

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

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

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

[0093] The electric power equipment detection device provided in the embodiment of the present invention can execute the electric power equipment detection method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0094] Figure 5 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 use in implementing embodiments of the present invention is shown. Figure 5 The computer device 12 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention. The computer device 12 can be any terminal device with computing capability and can be configured in the power equipment detection device.

[0095] like Figure 5 As shown, the computer device 12 is 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, a system memory 28, and a bus 18 that connects various system components (including the system memory 28 and the processing unit 16).

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

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

[0098] The 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. The computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 5 not shown, usually called a "hard drive"). Although Figure 5 Not shown in the figure, 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, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The system memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various 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 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. Program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0100] The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboards, pointing devices, displays 24, etc.), one or more devices that enable a user to interact with the computer device 12, and / or any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed through an input / output (I / O) interface 22. Furthermore, the computer device 12 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) through a network adapter 20. Figure 5 As shown, the network adapter 20 communicates with other modules of the computer device 12 via the bus 18. It should be understood that although Figure 5 Not shown, other hardware and / or software modules may be used in conjunction with computer device 12, 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] The processing unit 16 executes various functional applications and data processing by running the program stored in the system memory 28, for example, implementing the power equipment detection method provided in the embodiment of the present invention, the method comprising:

[0102] Acquire temperature information of the target device, and determine tag information of the target device according to the temperature information; determine a safety analysis result according to the operation information and tag information of the target device; collect warning information in the safety analysis result, and send the warning information to a preset terminal.

[0103] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the power equipment detection method provided by any embodiment of the present invention is implemented, including:

[0104] Acquire temperature information of the target device, and determine tag information of the target device according to the temperature information; determine a safety analysis result according to the operation information and tag information of the target device; collect warning information in the safety analysis result, and send the warning information to a preset terminal.

[0105] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0106] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0107] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0108] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or combinations thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate 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 a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0109] It should be understood by those skilled in the art that the modules or steps of the present invention described above can be implemented by a general-purpose computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, optionally, they can be implemented by a program code executable by a computer device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

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

Claims

1. A method for detecting electric power equipment, It is characterized in that include: Acquire temperature information of a target device, and determine tag information of the target device according to the temperature information; Determining a security analysis result based on the operation information and tag information of the target device; The warning information in the security analysis result is counted and the warning information is sent to a preset terminal.

2. The method according to claim 1, It is characterized in that The acquiring temperature information of the target device and determining the mark information of the target device according to the temperature information includes: Acquire real-time temperature data of the target device within a preset time window; Determining a temperature variation coefficient of the target device according to the real-time temperature data and a reference temperature value; The marking information of the target device is determined according to the temperature variation coefficient and the reference temperature variation range.

3. The method according to claim 2, It is characterized in that The step of determining the marking information of the target device according to the temperature variation coefficient and the reference temperature variation range includes: When the temperature variation coefficient is less than the minimum value of the reference temperature variation range, the target device is not marked; When the temperature variation coefficient is greater than a minimum value of the reference temperature variation range and less than a maximum value of the reference temperature variation range, marking the target device; When the temperature variation coefficient is greater than the maximum value of the reference temperature variation range, the target device is marked and a first warning signal is generated.

4. The method according to claim 1, It is characterized in that The step of determining the security analysis result according to the operation information and the tag information of the target device includes: Get the type information, running time information and tag information of the target device; Determining a failure risk factor of the target device according to the type information, the operation time information and the mark information of the target device; When the fault risk coefficient is greater than a preset risk coefficient, a safety analysis is performed on the target device to obtain the safety analysis result.

5. The method according to claim 4, It is characterized in that The performing security analysis on the target device includes: Obtaining basic operating information of the target device; wherein the basic operating information includes: operating voltage value and operating current value; Determining an operation deviation coefficient of the target device according to the operation voltage value and the reference voltage value, and the operation current value and the reference current value; When the operation deviation coefficient is greater than the preset deviation coefficient, a safety warning analysis is performed on the target device.

6. The method according to claim 5, It is characterized in that The performing security early warning analysis on the target device includes: Determining a fault assessment coefficient of the target device according to the fault risk coefficient, the preset risk coefficient, the operation deviation coefficient and the preset deviation coefficient; If the fault assessment coefficient is not greater than a preset fault assessment coefficient, generating a second warning signal; When the fault assessment coefficient is greater than a preset fault assessment coefficient, a second warning signal and a warning prompt signal are generated.

7. The method according to claim 1, It is characterized in that The method further comprises: Acquiring video information of the target device, and determining an appearance evaluation coefficient of the target device according to the video information; When the appearance evaluation coefficient is less than a preset appearance evaluation coefficient, a third warning signal is sent.

8. A power equipment detection device, It is characterized in that The device comprises: A tag information determination module, used to obtain temperature information of a target device and determine tag information of the target device according to the temperature information; A security analysis module, used to determine a security analysis result based on the operation information and tag information of the target device; The analysis result feedback module is used to collect the warning information in the security analysis result and send the warning information to a preset terminal.

9. A computer device, It is characterized in that The computer device comprises: one or more processors; A memory for storing 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 1-7.

10. A computer-readable storage medium having a computer program stored thereon, It is characterized in that When the program is executed by a processor, the power equipment detection method as described in any one of claims 1-7 is implemented.

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