A monitoring and control method and system for intelligent high-voltage switchgear

Abstract

The present invention belongs to the technical field of high-voltage switch cabinets. A monitoring and control method and system for an intelligent high-voltage switch cabinet are provided. The method includes: an intelligent optical fiber temperature measurement system detects and obtains first surface temperature data of each electrical device arranged in the switch cabinet body, and transmits the first surface temperature data to a remote intelligent monitoring terminal through a communication access device; the remote intelligent monitoring terminal monitors and evaluates the operating status of each electrical device in the switch cabinet body according to the first surface temperature data, and predicts faults. The solution of the present invention can realize intelligent monitoring and analysis of the internal working status of the high-voltage switch cabinet, and realize continuous online monitoring and unattended operation of the switch cabinet equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of high-voltage switch cabinets, and in particular to a monitoring and control method and a system thereof for an intelligent high-voltage switch cabinet. Background Art

[0002] Switchgear is a key equipment in the power system, which undertakes functions such as power conversion, control and protection. The traditional maintenance method of switchgear mainly relies on manual regular inspection and maintenance, which has disadvantages such as long maintenance cycle and inability to achieve real-time monitoring. In the existing technology, although image monitoring, temperature and humidity monitoring and other methods are used to supervise switchgear, they are mainly based on simple information collection and transmission, and cannot achieve intelligent monitoring and evaluation of the operating status of the equipment inside the switchgear, nor can they warn and predict potential faults. These problems seriously restrict the unattended operation and maintenance of switchgear.

[0003] Therefore, there is an urgent need for a system that can intelligently monitor and analyze the internal working status of the switch cabinet and remotely monitor and control the switch cabinet, so as to achieve continuous online monitoring and unattended operation of the switch cabinet equipment. Summary of the invention

[0004] In this regard, the present invention provides a monitoring and control method, system, electronic equipment and computer storage medium for an intelligent high-voltage switch cabinet to solve the above-mentioned technical problems.

[0005] A first aspect of the present invention provides a monitoring and control method for an intelligent high-voltage switch cabinet, wherein the intelligent high-voltage switch cabinet comprises a switch cabinet body, a communication access device, and an intelligent optical fiber temperature measurement system;

[0006] The method comprises the following steps:

[0007] The intelligent optical fiber temperature measurement system detects and obtains first surface temperature data of each electrical device arranged in the switch cabinet body, and transmits the first surface temperature data to a remote intelligent monitoring terminal through the communication access device;

[0008] The remote intelligent monitoring terminal monitors and evaluates the operating status of each electrical device in the switch cabinet body, as well as predicts faults based on the first surface temperature data.

[0009] In some embodiments, before the intelligent optical fiber temperature measurement system detects and obtains the first surface temperature data of each electrical device arranged in the switch cabinet body, the method further includes:

[0010] The intelligent optical fiber temperature measurement system detects the second surface temperature data of the switch cabinet body, and calculates the cabinet temperature fluctuation data according to the second surface temperature data;

[0011] When the cabinet temperature fluctuation data meets the first condition, a trigger signal is generated, and the trigger signal is used to trigger the intelligent optical fiber temperature measurement system to detect the first surface temperature data of each electrical device arranged in the switch cabinet body.

[0012] In some embodiments, before the intelligent optical fiber temperature measurement system detects the second surface temperature data of the switch cabinet body, the method further includes:

[0013] Acquire information about the area where the intelligent high-voltage switch cabinet is located, and obtain first temperature data according to the information about the area;

[0014] Determine second temperature data according to attribute information of each electrical device in the intelligent high-voltage switch cabinet;

[0015] When the relative relationship between the first temperature data and the second temperature data satisfies a second condition, the intelligent optical fiber temperature measurement system is triggered to detect the second surface temperature data of the switch cabinet body.

[0016] In some embodiments, the communication access device includes multiple different types of communication modules;

[0017] Then, transmitting the first surface temperature data to the remote intelligent monitoring terminal through the communication access device includes:

[0018] Determine the temperature influence of each type of communication module, and select a target communication module from the communication modules of each type according to the temperature influence and the first surface temperature data;

[0019] The target communication module is used to transmit the first surface temperature data to a remote intelligent monitoring terminal.

[0020] In some embodiments, the remote intelligent monitoring terminal performs fault prediction on each electrical device in the switch cabinet body according to the first surface temperature data, including:

[0021] The attribute information of each of the electrical devices and the first surface temperature data are combined into a data pair, and the data pair corresponding to each of the electrical devices is input into a fault prediction model to obtain a fault prediction value of each of the electrical devices.

[0022] In some embodiments, obtaining the fault prediction value of each of the electrical devices includes:

[0023] Determine the temperature range of each of the electrical devices when they are operating normally according to the attribute information, and calculate the overlap of all the temperature ranges;

[0024] A first correction coefficient is determined according to the overlap degree, and the first correction coefficient is used to correct the first fault prediction value output by the fault prediction model to obtain a second fault prediction value.

[0025] In some embodiments, the using the first correction coefficient to correct the first fault prediction value output by the fault prediction model to obtain a second fault prediction value includes:

[0026] Acquire layout information of the heat dissipation port of the intelligent high-voltage switch cabinet, and determine a second correction coefficient according to the layout information;

[0027] The second fault prediction value is corrected using the second correction coefficient to obtain a third fault prediction value.

[0028] A second aspect of the present invention provides a monitoring and control system for an intelligent high-voltage switch cabinet, which is applied to a remote intelligent monitoring terminal, wherein the system comprises a communication module, a processing module, and a storage module, wherein the processing module is electrically connected to the storage module and the communication module respectively;

[0029] The communication module is used to receive the surface temperature data of each electrical device collected by the intelligent high-voltage switch cabinet and transmit it to the processing module;

[0030] The storage module is used to store computer programs;

[0031] The processing module is used to retrieve and execute the computer program in the storage module to execute any of the methods described above to monitor and evaluate the operating status of each electrical equipment in the intelligent high-voltage switch cabinet, as well as fault prediction.

[0032] The third aspect of the present invention further discloses an electronic device, comprising: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor executes the computer program to implement the method described in the aforementioned embodiment.

[0033] A fourth aspect of the present invention provides a computer storage medium, wherein the computer-readable storage medium stores a computer program, and wherein the computer program is executed by a processor to implement any of the methods described above.

[0034] A fifth aspect of the present invention provides a computer program product. When the computer program product is run on a terminal, the terminal implements any of the above methods.

[0035] The beneficial effects of the present invention are:

[0036] The solution of the present invention can realize intelligent monitoring and analysis of the internal working state of the high-voltage switch cabinet, and realize continuous online monitoring and unattended operation of the switch cabinet equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 It is a flow chart of a monitoring and control method of an intelligent high-voltage switch cabinet disclosed in an embodiment of the present invention;

[0039] Figure 2 It is a structural schematic diagram of a monitoring and control system of an intelligent high-voltage switch cabinet disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The following is a description of the implementation of the present application by specific specific embodiments. People familiar with the technology can easily understand other advantages and effects of the present application from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0041] In addition, the technical features involved in the different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0042] like Figure 1 As shown, an embodiment of the present invention discloses a monitoring and control method for an intelligent high-voltage switch cabinet, wherein the intelligent high-voltage switch cabinet includes a switch cabinet body, a communication access device, and an intelligent optical fiber temperature measurement system;

[0043] The method comprises the following steps:

[0044] The intelligent optical fiber temperature measurement system detects and obtains first surface temperature data of each electrical device arranged in the switch cabinet body, and transmits the first surface temperature data to a remote intelligent monitoring terminal through the communication access device;

[0045] The remote intelligent monitoring terminal monitors and evaluates the operating status of each electrical device in the switch cabinet body, as well as predicts faults based on the first surface temperature data.

[0046] The intelligent high-voltage switchgear in the present invention includes a switchgear body, a communication access device and an intelligent optical fiber temperature measurement system arranged therein, and also includes a remote intelligent monitoring terminal at the far end. The remote intelligent monitoring terminal can receive the surface temperature data of each electrical device detected by the intelligent optical fiber temperature measurement system and transmitted by the communication access device, and use a preset analysis method to perform a comprehensive analysis on the surface temperature data, thereby drawing a conclusion on whether the electrical equipment in the switchgear is abnormal or not. Through this system, the present invention realizes continuous monitoring and evaluation of the working status of the switchgear, as well as fault prediction and early warning.

[0047] The electrical equipment arranged in the switch cabinet body may be a circuit breaker, a transformer, a busbar, etc., and the present invention is not specifically limited thereto.

[0048] In some embodiments, before the intelligent optical fiber temperature measurement system detects and obtains the first surface temperature data of each electrical device arranged in the switch cabinet body, the method further includes:

[0049] The intelligent optical fiber temperature measurement system detects the second surface temperature data of the switch cabinet body, and calculates the cabinet temperature fluctuation data according to the second surface temperature data;

[0050] When the cabinet temperature fluctuation data meets the first condition, a trigger signal is generated, and the trigger signal is used to trigger the intelligent optical fiber temperature measurement system to detect the first surface temperature data of each electrical device arranged in the switch cabinet body.

[0051] In the embodiment of the present invention, the environment in which the intelligent high-voltage switch cabinet is located often experiences temperature fluctuations. For example, the ambient temperature may vary greatly at different times of the day, and this difference is particularly obvious in the northern region. For another example, there may be heat-generating electrical equipment around the intelligent high-voltage switch cabinet, and its high-intensity thermal radiation may also affect the ambient temperature of the intelligent high-voltage switch cabinet. The change in ambient temperature may affect the temperature data detected by the intelligent optical fiber temperature measurement system in the switch cabinet body, which may easily lead to the first surface temperature data detected by the intelligent optical fiber temperature measurement system being too high, and thus may easily lead to misjudgment of abnormal electrical equipment. In this regard, the intelligent optical fiber temperature measurement system of the present invention includes not only the first type of temperature measurement optical fiber arranged on the surface of the electrical equipment, but also the second type of temperature measurement optical fiber arranged on the switch cabinet body (preferably the inner wall of the cabinet), and then the cabinet temperature fluctuation data is calculated based on the second surface temperature data measured by the second type of temperature measurement optical fiber. When the cabinet temperature fluctuation data is within the set range, it means that the ambient temperature does not change much and will not have much impact on the temperature measurement value of the first type of temperature measurement optical fiber arranged on the surface of the electrical equipment. At this time, the first type of temperature measurement optical fiber is controlled to measure the temperature of the electrical equipment in the cabinet, so that the measured first surface temperature data can fully represent the operating temperature of the electrical equipment itself. Among them, the first condition can be pre-set, for example, the cabinet temperature fluctuation data can be no higher than 0.5℃ / hour.

[0052] The first type of temperature measuring optical fiber and the second type of temperature measuring optical fiber constitute a distributed optical fiber temperature measuring system. The intelligent optical fiber temperature measuring system may further include a processor, which may control the first type of temperature measuring optical fiber and the second type of temperature measuring optical fiber respectively.

[0053] It should be noted that, in addition to triggering the first type of temperature measuring optical fiber in the intelligent optical fiber temperature measurement system to enter the working state, the trigger signal can also be used to trigger the remote intelligent monitoring terminal to adjust the abnormal judgment conditions, that is, the first type of temperature measuring optical fiber continues to detect and transmit temperature data, and the remote intelligent monitoring terminal uses the adjusted abnormal judgment conditions to perform abnormal analysis.

[0054] In some embodiments, before the intelligent optical fiber temperature measurement system detects the second surface temperature data of the switch cabinet body, the method further includes:

[0055] Acquire information about the area where the intelligent high-voltage switch cabinet is located, and obtain first temperature data according to the information about the area;

[0056] Determine second temperature data according to attribute information of each electrical device in the intelligent high-voltage switch cabinet;

[0057] When the relative relationship between the first temperature data and the second temperature data satisfies a second condition, the intelligent optical fiber temperature measurement system is triggered to detect the second surface temperature data of the switch cabinet body.

[0058] In an embodiment of the present invention, the intelligent high-voltage switch cabinet will be arranged in different areas, such as high altitude areas, northwest areas, northeast areas and other areas with lower temperatures, and can also be arranged in Hainan, Guangdong and other areas with higher temperatures. At the same time, the temperature of the electrical equipment arranged in the intelligent high-voltage switch cabinet during normal operation is also different. In view of the above situation, the present invention first obtains the first temperature data of the area according to the information of the area where the intelligent high-voltage switch cabinet is located. The first temperature data represents the universal temperature in the corresponding area, such as the average temperature in the past five years, the highest temperature in history, and the predicted temperature in this time period. Then, the second temperature data is determined based on the attribute information of each electrical equipment arranged in the intelligent high-voltage switch cabinet. The second temperature data represents the lowest universal temperature of each electrical equipment, for example, the lowest value of each lower limit temperature of the temperature range of all electrical equipment during normal operation. Finally, by comparing the relative relationship between the above-mentioned first temperature data and the second temperature data, it can be determined whether it is necessary to trigger the intelligent optical fiber temperature measurement system to detect the second surface temperature data of the switch cabinet body. Specifically, when the first temperature data is lower than the second temperature data, it means that the temperature of the area where the intelligent high-voltage switchgear is located cannot reach the normal operating temperature of the electrical equipment, and will not affect the first surface temperature data of the first type of temperature measuring optical fiber. At this time, there is no need to trigger the intelligent optical fiber temperature measurement system to detect the second surface temperature data of the switchgear body, that is, there is no need to consider the influence of ambient temperature; on the contrary, it means that the temperature of the area where the intelligent high-voltage switchgear is located can reach or even exceed the normal operating temperature of the electrical equipment. When the excess is large, it will affect the small ambient temperature in the cabinet, and may cause the first surface temperature data measured by the first type of temperature measuring optical fiber to exceed the normal operating range of the electrical equipment (but the electrical equipment is not actually in an abnormal operating state at this time). At this time, it is necessary to trigger the intelligent optical fiber temperature measurement system to detect the second surface temperature data of the switchgear body, that is, the influence of ambient temperature needs to be considered.

[0059] In addition, the area information may include date information in addition to geographic location information, so that the first temperature data can be determined more accurately. Also, the temperature range of the electrical device during normal operation can be pre-configured and specifically associated with the attribute information of the electrical device (eg, device ID).

[0060] In some embodiments, the communication access device includes multiple different types of communication modules;

[0061] Then, transmitting the first surface temperature data to the remote intelligent monitoring terminal through the communication access device includes:

[0062] Determine the temperature influence of each type of communication module, and select a target communication module from the communication modules of each type according to the temperature influence and the first surface temperature data;

[0063] The target communication module is used to transmit the first surface temperature data to a remote intelligent monitoring terminal.

[0064] In an embodiment of the present invention, the communication access device may include at least one of the communication modules of the types of wired network interface, wireless network interface and dedicated digital communication interface to realize the remote transmission of various data in the switch cabinet. However, the influence of ambient temperature on different types of communication modules is different. For example, the wifi module will be affected by low temperature and cause the transmission power to decrease, and the data transmission rate and stability will be correspondingly reduced. In this regard, the present invention selects a target communication module from each type of communication module according to the temperature influence of each type of communication module, and uses the target communication module to transmit the first surface temperature data to the remote intelligent monitoring terminal.

[0065] The temperature influence of each communication module corresponds to different temperatures.

[0066] In some embodiments, the remote intelligent monitoring terminal performs fault prediction on each electrical device in the switch cabinet body according to the first surface temperature data, including:

[0067] The attribute information of each of the electrical devices and the first surface temperature data are combined into a data pair, and the data pair corresponding to each of the electrical devices is input into a fault prediction model to obtain a fault prediction value of each of the electrical devices.

[0068] In the embodiment of the present invention, the remote intelligent monitoring terminal can easily determine whether the electrical equipment is abnormal (normal, overloaded, faulty, etc.) by comparing the first surface temperature data of each electrical equipment with the corresponding normal operating temperature range. However, since the intelligent high-voltage switch cabinet contains many different types of electrical equipment, and the normal operating temperatures of these electrical equipment themselves are also somewhat different, that is, there is a temperature radiation effect (or slow effect) between the electrical equipment. Therefore, it is difficult to predict the fault of a single electrical equipment through the first surface temperature data of the electrical equipment.

[0069] In this regard, the present invention uses a fault prediction model constructed based on an artificial intelligence algorithm to handle the fault prediction problem when a variety of different types of electrical equipment are arranged in the cabinet. When training the fault prediction model, the normal operating temperature associated with the attribute information of various electrical equipment, the surface temperature data collected in real time, and the corresponding state mark (normal or abnormal electrical equipment) are used as training elements, and then a training set is constructed. The fault prediction model can be used for deep training using the training set. When in use, the attribute information of each electrical equipment in the cabinet and the first surface temperature data are combined into a data pair, and the data pairs corresponding to all electrical equipment are input into the fault prediction model to obtain the fault prediction value of each electrical equipment. The staff at the remote intelligent monitoring terminal can perform remote operations such as remote analysis and fault pre-processing on the corresponding electrical equipment according to the fault prediction value. In addition, it can be set to remind the staff at the remote intelligent monitoring terminal only when the fault prediction value of the electrical equipment exceeds the set value.

[0070] In addition, the remote monitoring terminal can realize centralized monitoring and management of multiple switch cabinets, and adopts a human-machine visual interface, and can also realize the storage and analysis of high-voltage switch cabinet monitoring data based on a cloud computing platform. The remote monitoring terminal can be configured with a temperature analysis module and a fault prediction module for respectively realizing the above functions.

[0071] In some embodiments, obtaining the fault prediction value of each of the electrical devices includes:

[0072] Determine the temperature range of each of the electrical devices when they are operating normally according to the attribute information, and calculate the overlap of all the temperature ranges;

[0073] A first correction coefficient is determined according to the overlap degree, and the first correction coefficient is used to correct the first fault prediction value output by the fault prediction model to obtain a second fault prediction value.

[0074] In an embodiment of the present invention, each electrical device has its own temperature range in normal operation. When the temperature ranges of each electrical device are close to each other, the temperature influence between these electrical devices will be lower, and the confidence of the first fault prediction value output by the fault prediction model will be higher; conversely, the temperature influence between these electrical devices will be higher, and the confidence of the first fault prediction value output by the fault prediction model will be lower. Therefore, the present invention determines the first correction coefficient by analyzing the overlap between the temperature ranges of all electrical devices in the cabinet. The greater the overlap, the smaller the first correction coefficient, and vice versa. The first correction coefficient can be a value greater than 1.

[0075] It should be noted that the overlap degree may be the intersection of each temperature range. The greater the difference between the upper and lower limit values ​​of the intersection, the greater the overlap degree, and vice versa.

[0076] In some embodiments, the using the first correction coefficient to correct the first fault prediction value output by the fault prediction model to obtain a second fault prediction value includes:

[0077] Acquire layout information of the heat dissipation port of the intelligent high-voltage switch cabinet, and determine a second correction coefficient according to the layout information;

[0078] The second fault prediction value is corrected using the second correction coefficient to obtain a third fault prediction value.

[0079] In an embodiment of the present invention, the layout information of the heat dissipation port of the intelligent high-voltage switch cabinet will also affect the temperature of the microenvironment inside the cabinet, and the layout information includes the layout quantity and layout height of the heat dissipation port. The more the layout quantity of the heat dissipation port and the more reasonable the layout height, the more conducive to heat dissipation, and the higher the layout height, the more conducive to heat dissipation. The present invention comprehensively analyzes the layout quantity and layout height of the above-mentioned heat dissipation port, and determines the second correction coefficient accordingly, and uses the second correction coefficient to further correct the second fault prediction value obtained by the aforementioned preliminary correction to the third fault prediction value, that is, the final fault prediction value of each of the electrical equipment is obtained.

[0080] Wherein, determining the second correction coefficient according to the layout information includes:

[0081] The heat dissipation efficiency value is evaluated based on the number and height of the heat dissipation ports, and the second correction coefficient is determined based on the heat dissipation efficiency value; wherein the second correction coefficient is negatively correlated with the heat dissipation efficiency value.

[0082] According to the above rules, the heat dissipation efficiency value of the intelligent high-voltage switch cabinet can be evaluated. When the heat dissipation efficiency value is higher, it means that the probability of mutual influence of various electrical equipment in the small environment of the cabinet is smaller. At this time, the second correction coefficient is adjusted lower, that is, the correction of the first fault prediction value output by the fault prediction model is reduced; and when the heat dissipation efficiency value is lower, it means that the probability of mutual influence of various electrical equipment in the small environment of the cabinet due to poor heat dissipation effect is greater. At this time, the second correction coefficient is increased, that is, the correction of the first fault prediction value output by the fault prediction model is enhanced. The coefficient of the second correction is a value greater than 1.

[0083] like Figure 2 As shown, an embodiment of the present invention further discloses a monitoring and control system of an intelligent high-voltage switch cabinet, which is applied to a remote intelligent monitoring terminal. The system includes a communication module, a processing module, and a storage module. The processing module is electrically connected to the storage module and the communication module respectively;

[0084] The communication module is used to receive the surface temperature data of each electrical device collected by the intelligent high-voltage switch cabinet and transmit it to the processing module;

[0085] The storage module is used to store computer programs;

[0086] It is characterized in that: the processing module is used to call and execute the computer program in the storage module to execute any of the methods described above, so as to realize the monitoring and evaluation of the operating status of each electrical equipment in the intelligent high-voltage switch cabinet, as well as fault prediction.

[0087] An embodiment of the present invention further discloses an electronic device, comprising: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, characterized in that: the processor executes the computer program to implement the method described in the above embodiment.

[0088] An embodiment of the present invention further discloses a computer storage medium, wherein the computer storage medium stores a computer program, and is characterized in that: the computer program is executed by a processor to implement the method described in the above embodiment.

[0089] The embodiment of the present invention further discloses a computer program product. When the computer program product is run on a terminal, the terminal implements the method described in the above embodiment.

[0090] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0091] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0092] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0093] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.

Claims

1. A monitoring and control method for an intelligent high-voltage switch cabinet, characterized in that: The intelligent high-voltage switchgear includes a switchgear body, a communication access device, and an intelligent optical fiber temperature measurement system; The method comprises the following steps: The intelligent optical fiber temperature measurement system detects and obtains first surface temperature data of each electrical device arranged in the switch cabinet body, and transmits the first surface temperature data to a remote intelligent monitoring terminal through the communication access device; The remote intelligent monitoring terminal monitors and evaluates the operating status of each electrical device in the switch cabinet body, and predicts faults according to the first surface temperature data; Before the intelligent optical fiber temperature measurement system detects the second surface temperature data of the switch cabinet body, the method further includes: Acquire the area information of the intelligent high-voltage switch cabinet, and obtain the first temperature data according to the area information; wherein the area information includes geographical location information and date information, and the first temperature data represents the general temperature in the corresponding area; Determine second temperature data according to the attribute information of each electrical device in the intelligent high-voltage switch cabinet; wherein the second temperature data represents the lowest common temperature of each electrical device; When the relative relationship between the first temperature data and the second temperature data satisfies a second condition, the intelligent optical fiber temperature measurement system is triggered to detect the second surface temperature data of the switch cabinet body; wherein the second condition refers to that the first temperature data is not lower than the second temperature data; The communication access device includes multiple different types of communication modules; Then, transmitting the first surface temperature data to the remote intelligent monitoring terminal through the communication access device includes: Determine the temperature influence of each type of communication module, and select a target communication module from the communication modules of each type according to the temperature influence and the first surface temperature data; The target communication module is used to transmit the first surface temperature data to a remote intelligent monitoring terminal.

2. The monitoring and control method of an intelligent high-voltage switch cabinet according to claim 1 is characterized in that: Before the intelligent optical fiber temperature measurement system detects and obtains the first surface temperature data of each electrical device arranged in the switch cabinet body, the method further includes: The intelligent optical fiber temperature measurement system detects the second surface temperature data of the switch cabinet body, and calculates the cabinet temperature fluctuation data according to the second surface temperature data; When the cabinet temperature fluctuation data meets the first condition, a trigger signal is generated, and the trigger signal is used to trigger the intelligent optical fiber temperature measurement system to detect the first surface temperature data of each electrical equipment arranged in the switch cabinet body; wherein, the first condition refers to that the cabinet temperature fluctuation data is within a set range.

3. The monitoring and control method of an intelligent high-voltage switch cabinet according to claim 1 is characterized in that: The remote intelligent monitoring terminal performs fault prediction on each electrical device in the switch cabinet body according to the first surface temperature data, including: The attribute information of each of the electrical devices and the first surface temperature data are combined into a data pair, and the data pair corresponding to each of the electrical devices is input into a fault prediction model to obtain a fault prediction value of each of the electrical devices.

4. The monitoring and control method of an intelligent high-voltage switch cabinet according to claim 3 is characterized in that: The obtaining of the fault prediction value of each of the electrical devices comprises: Determine the temperature range of each of the electrical devices when they are operating normally according to the attribute information, and calculate the overlap of all the temperature ranges; A first correction coefficient is determined according to the overlap degree, and the first correction coefficient is used to correct the first fault prediction value output by the fault prediction model to obtain a second fault prediction value.

5. The monitoring and control method of an intelligent high-voltage switch cabinet according to claim 4 is characterized in that: The using the first correction coefficient to correct the first fault prediction value output by the fault prediction model to obtain a second fault prediction value includes: Acquire layout information of the heat dissipation port of the intelligent high-voltage switch cabinet, and determine a second correction coefficient according to the layout information; The second fault prediction value is corrected using the second correction coefficient to obtain a third fault prediction value.

6. A monitoring and control system for an intelligent high-voltage switch cabinet, applied to a remote intelligent monitoring terminal, the system comprising a communication module, a processing module, and a storage module, the processing module being electrically connected to the storage module and the communication module respectively; The communication module is used to receive the surface temperature data of each electrical device collected by the intelligent high-voltage switch cabinet and transmit it to the processing module; The storage module is used to store computer programs; It is characterized in that: the processing module is used to call and execute the computer program in the storage module to execute the method described in any one of claims 1-5, so as to realize the monitoring and evaluation of the operating status of each electrical equipment in the intelligent high-voltage switch cabinet, as well as fault prediction.

7. An electronic device comprising: At least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor executes the computer program to implement the method according to any one of claims 1 to 5.

8. A computer storage medium storing a computer program, characterized in that: The computer program is executed by a processor to implement the method according to any one of claims 1 to 5.

Images