Box-type substation, and box-type substation intelligent monitoring method and system

Abstract

The invention discloses a box-type transformer substation and a box-type transformer substation intelligent monitoring method and system, and belongs to the technical field of box-type transformer substation intelligent monitoring. By implementing the box-type transformer substation intelligent monitoring method and system, the operation efficiency of the transformer substation can be remarkably improved, the fault response speed can be increased, and the labor cost can be reduced; meanwhile, through autonomous learning and optimization, the whole system has good adaptive capacity and is not prone to making mistakes; besides, the temperature detector is arranged on the pressing block of the transformer in the box-type substation, so that the temperature detector can be closer to a heating point of the transformer, the real-time temperature of the transformer can be monitored more accurately, and the transformer can be better protected.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system automation and control, and in particular to a box-type substation, and an intelligent monitoring method and system for the box-type substation. Background Art

[0002] Box-type substation is also called outdoor complete substation, or combined substation. It is a new type of substation equipment developed in the 1960s and 1970s in Western developed countries such as Europe and the United States. It has the advantages of flexible combination, convenient transportation, migration, installation, short construction period, low operating cost, no pollution, and maintenance-free, and has been valued by power workers in various countries around the world. In the mid-1990s, simple box-type substations began to appear in China and developed rapidly.

[0004] In recent years, with the large number of renewable energy sources connected to the grid, traditional box-type substations are facing many challenges. These challenges include: 1. Volatility and instability: Renewable resources such as wind and solar energy have obvious intermittent and random characteristics, which have an impact on the grid load; 2. Increased scheduling complexity: More sophisticated load forecasting and real-time scheduling are required to ensure supply and demand balance, thereby avoiding equipment damage caused by overload or underload.

[0005] In addition, existing control systems often rely on manual operation, which is not only inefficient but also prone to human errors. At the same time, the lack of real-time data monitoring and analysis capabilities makes fault handling slow, affecting the stability of the entire power grid. Summary of the invention

[0006] In order to solve the problem that existing control systems often rely on manual operation, which is not only inefficient but also prone to human errors, lacks real-time data monitoring and analysis capabilities, and results in slow fault handling response, the present invention provides a box-type substation, a box-type substation intelligent monitoring method and system that has real-time data monitoring and analysis capabilities, is highly efficient and not prone to errors.

[0007] The technical solution of the present invention is:

[0008] The intelligent monitoring method of box-type substation includes the following steps:

[0009] S1. Set target state characteristics:

[0010] Establish the pre-monitoring event type of box-type substation, and select the target state characteristics that need to be monitored according to the pre-monitoring event type of box-type substation;

[0011] S2. Establish target state characteristic value monitoring model

[0012] Based on the selected target state characteristics, a target state characteristic value monitoring model that needs to be collected is established;

[0013] S3. Obtain target monitoring data

[0014] Collect target state characteristic value data of the target box-type substation, substitute the collected target state characteristic value data into the target state characteristic value monitoring model, and calculate and obtain target monitoring data based on the output of the target state characteristic value monitoring model;

[0015] S4. Establishment of event monitoring and abnormality judgment model for box-type substation

[0016] Establishing a box-type substation event monitoring and abnormality judgment model, wherein the box-type substation event monitoring and abnormality judgment model is used to judge whether there is an operation abnormality in the box-type substation and give an abnormality judgment result;

[0017] S5. Judgment and control of pre-monitoring events in box-type substation

[0018] Based on the established box-type substation event monitoring and abnormality judgment model, the judgment results are output and corresponding control instructions are given based on the judgment results.

[0019] Furthermore, the specific construction method of the target state characteristic value monitoring model in step S2 is as follows:

[0020] Based on the collected target state parameters of the equipment in the box-type substation, a target state parameter characteristic matrix X within a preset fixed time period T1 for the target box-type substation is established;

[0021] The target state parameter characteristic matrix X is specifically expressed as follows:

[0022]

[0023] The target feature matrix X represents the target state parameter data set with a fixed time interval t1 as the time unit within a fixed time period T1, x n1 represents the first characteristic value of the target state parameter collected according to the first data collection rule in each t1 time unit, x n2 represents the second characteristic value of the target state parameter collected according to the second data collection rule in each time unit t1, and n represents the number n of time units t1 in each fixed time period T1.

[0024] Further, in step S3, the target state characteristic value data of the target box-type substation is collected, and specifically, the target state parameter value is collected once at the end of each time unit t1 as the first characteristic value x of the target state parameter. n1 Perform data storage;

[0025] In each time interval t1, the target state parameter value is further collected according to the predetermined time interval t2, and the accumulated target state parameter values ​​are summed up as the second characteristic value x of the target state parameter. n2 ;

[0026] After n rounds of cumulative collection, the target state parameter feature matrix X is finally formed.

[0027] Furthermore, in step S4, a box-type substation event monitoring and abnormality judgment model is established, including the following sub-steps:

[0028] S41: Establishing a box-type substation event monitoring and early warning judgment function, the early warning judgment function is expressed as follows:

[0029]

[0030] Where E is the final warning judgment value, Y is the sum of the second eigenvalues ​​collected within a fixed time period T1, and Y 阈 is the second characteristic value sum threshold for the target device to operate normally within each fixed time period T1, where Y is specifically expressed as follows:

[0031]

[0032] S42: Establishing abnormality judgment rules

[0033] The system terminal obtains the first characteristic value x of the collected target state parameter in real time n1 , and the first characteristic safety threshold x n1阈 When the system detects that the first characteristic value x appears twice in a fixed time period T1, n1 >x n1阈 When , it is determined that there is a potential operating abnormality;

[0034] Within a fixed time period T1, the system terminal obtains the final warning judgment value E. When E>1, it is judged that an abnormality exists.

[0035] Further, in step S5, based on the established box-type substation event monitoring and abnormality judgment model, a judgment result is output, and corresponding control instructions are given based on the judgment result, specifically including:

[0036] When it is determined that there is a potential operating anomaly, the control terminal automatically gives a warning prompt of the potential anomaly between monitoring events. The staff will conduct an abnormality investigation on the pre-monitoring event to confirm whether the monitoring event is actually abnormal and give a final conclusion;

[0037] When it is determined that there is an operational abnormality, the control terminal automatically gives an early warning prompt that there is an abnormality in the monitoring time, and the system automatically sends the corresponding response measures to the staff, who conduct abnormal investigation and abnormal handling based on the pre-monitoring events.

[0038] Furthermore, the pre-monitoring event types include whether the temperature of the transformer room in the box-type substation is abnormal, whether the temperature near the high and low voltage terminals of the transformer is abnormal, and the status characteristics that need to be monitored include the temperature value of the transformer room or the temperature value near the high and low voltage terminals of the transformer.

[0039] Furthermore, the pre-monitoring event type is whether the temperature of the transformer room in the box-type substation is abnormal, the fixed time period T1 is one week, the fixed time interval t1 is 1 hour, and the target state parameter data set of the time unit is randomly collected once every 1 hour. The real-time temperature value of the transformer room is used as the first eigenvalue x n1 , and collect the real-time temperature of the transformer room at the second time interval of t2 = 1 minute every hour, collect 60 times and add the real-time temperature to obtain the second characteristic value x n2 , n=168.

[0040] The present invention also provides a box-type substation intelligent monitoring system, which is used to execute the box-type substation intelligent monitoring method, including:

[0041] A data acquisition module, which is used to collect target state characteristic value data of each target device in the box-type substation in real time, and send the collected data information to the data processing module;

[0042] A data processing and judgment module, wherein the data processing module is used to process the collected data and make abnormal judgment based on the data processing results;

[0043] The control terminal issues control instructions and performs corresponding control processing based on the judgment results given by the data processing and judgment module.

[0044] The present invention also provides a box-type substation, which is provided with the box-type substation intelligent monitoring system of the present invention. The box-type substation includes: a box body, a high-voltage cabinet, a low-voltage cabinet, a transformer, a plurality of heat dissipation devices and a transformer temperature controller. The high-voltage cabinet, the low-voltage cabinet and the transformer are all arranged in the box body, the high-voltage cabinet is located on one side of the low-voltage cabinet and the transformer, the transformer is arranged above the low-voltage cabinet, the low-voltage cabinet is provided with an operation panel, the transformer temperature controller is arranged on the operation panel of the low-voltage cabinet, the heat dissipation device is embedded in the surface of the box body, and the heat dissipation device is located on one side of the transformer, the transformer is provided with a plurality of pressing blocks and a plurality of temperature detectors, each of the temperature detectors is arranged in the pressing block, the temperature detector and the heat dissipation device are electrically connected to the transformer temperature controller, and the transformer temperature controller is communicatively connected to the box-type substation intelligent monitoring system.

[0045] The pressing block is provided with a groove, the temperature detector is arranged in the groove, and the transformer temperature controller is provided with an RS485 communication interface, and is connected to the box-type substation intelligent monitoring system through the RS485 communication interface.

[0046] The beneficial effects of the present invention are:

[0047] By implementing the intelligent monitoring method and system of the box-type substation of the present invention, the operating efficiency of the substation can be significantly improved, the fault response speed can be increased, and the labor cost can be reduced; at the same time, through autonomous learning and optimization, the entire system has good adaptability and is not prone to errors; in addition, the box-type substation sets the temperature detector on the pressure block of the transformer, so that the temperature detector can be closer to the heating point of the transformer, and the real-time temperature of the transformer can be more accurately monitored, so that the transformer can be better protected. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a flow chart of the intelligent monitoring method of box-type substation of the present invention;

[0049] Figure 2 It is a front view structural schematic diagram of the box-type substation of the present invention;

[0050] Figure 3 It is a rear structural schematic diagram of the box-type substation of the present invention;

[0051] Figure 4 It is a structural schematic diagram of a transformer of a box-type substation of the present invention;

[0052] Figure 5 It is a schematic cross-sectional structure diagram of a transformer of a box-type substation of the present invention;

[0053] Figure numerals: 1. box body, 2. high-voltage cabinet, 3. low-voltage cabinet, 31. operation panel, 4. transformer, 41. pressure block, 411. groove, 42. temperature detector, 5. heat dissipation device, 6. transformer temperature controller. DETAILED DESCRIPTION

[0054] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0055] Example 1

[0056] Please refer to Figure 1 The present invention provides a box-type substation intelligent monitoring method, comprising the following steps:

[0057] S1. Set target state characteristics:

[0058] Establish the pre-monitoring event type of box-type substation, and select the target state characteristics that need to be monitored according to the pre-monitoring event type of box-type substation;

[0059] S2. Establish target state characteristic value monitoring model

[0060] Based on the selected target state characteristics, a target state characteristic value monitoring model that needs to be collected is established;

[0061] S3. Obtain target monitoring data

[0062] Collect target state characteristic value data of the target box-type substation, substitute the collected target state characteristic value data into the target state characteristic value monitoring model, and calculate and obtain target monitoring data based on the output of the target state characteristic value monitoring model;

[0063] S4. Establishment of event monitoring and abnormality judgment model for box-type substation

[0064] Establishing a box-type substation event monitoring and abnormality judgment model, wherein the box-type substation event monitoring and abnormality judgment model is used to judge whether there is an operation abnormality in the box-type substation and give an abnormality judgment result;

[0065] S5. Judgment and control of pre-monitoring events in box-type substation

[0066] Based on the established box-type substation event monitoring and abnormality judgment model, the judgment results are output and corresponding control instructions are given based on the judgment results.

[0067] Furthermore, the specific construction method of the target state characteristic value monitoring model in step S2 is as follows:

[0068] Based on the collected target state parameters of the equipment in the box-type substation, a target state parameter characteristic matrix X within a preset fixed time period T1 for the target box-type substation is established;

[0069] The target state parameter characteristic matrix X is specifically expressed as follows:

[0070]

[0071] The target feature matrix X represents the target state parameter data set with a fixed time interval t1 as the time unit within a fixed time period T1, x n1 represents the first characteristic value of the target state parameter collected according to the first data collection rule in each t1 time unit, x n2 represents the second characteristic value of the target state parameter collected according to the second data collection rule in each time unit t1, and n represents the number n of time units t1 in each fixed time period T1.

[0072] Further, in step S3, the target state characteristic value data of the target box-type substation is collected, and specifically, the target state parameter value is collected once at the end of each time unit t1 as the first characteristic value x of the target state parameter. n1 Perform data storage;

[0073] In each time interval t1, the target state parameter value is further collected according to the predetermined time interval t2, and the accumulated target state parameter values ​​are summed up as the second characteristic value x of the target state parameter. n2 ;

[0074] After n rounds of cumulative collection, the target state parameter feature matrix X is finally formed.

[0075] Furthermore, in step S4, a box-type substation event monitoring and abnormality judgment model is established, including the following sub-steps:

[0076] S41: Establishing a box-type substation event monitoring and early warning judgment function, the early warning judgment function is expressed as follows:

[0077]

[0078] Where E is the final warning judgment value, Y is the sum of the second eigenvalues ​​collected within a fixed time period T1, and Y 阈 is the second characteristic value sum threshold for the target device to operate normally within each fixed time period T1, where Y is specifically expressed as follows:

[0079]

[0080] S42: Establishing abnormality judgment rules

[0081] The system terminal obtains the first characteristic value x of the collected target state parameter in real time n1 , and the first characteristic safety threshold x n1阈 When the system detects that the first characteristic value x appears twice in a fixed time period T1, n1 >x n1阈 When , it is determined that there is a potential operating abnormality;

[0082] Within a fixed time period T1, the system terminal obtains the final warning judgment value E. When E>1, it is judged that an abnormality exists.

[0083] Preferably, in step S5, based on the established box-type substation event monitoring and abnormality judgment model, a judgment result is output, and corresponding control instructions are given based on the judgment result, specifically including:

[0084] When it is determined that there is a potential operating anomaly, the control terminal automatically gives a warning prompt of the potential anomaly between monitoring events. The staff will conduct an abnormality investigation on the pre-monitoring event to confirm whether the monitoring event is actually abnormal and give a final conclusion;

[0085] When it is determined that there is an operational abnormality, the control terminal automatically gives an early warning prompt that there is an abnormality in the monitoring time, and the system automatically sends the corresponding response measures to the staff, who conduct abnormal investigation and abnormal handling based on the pre-monitoring events.

[0086] Preferably, the pre-monitoring event types include whether the temperature of the transformer room in the box-type substation is abnormal, whether the temperature near the high and low voltage terminals of the transformer is abnormal, and the status characteristics that need to be monitored include the temperature value of the transformer room or the temperature value near the high and low voltage terminals of the transformer.

[0087] In a preferred embodiment, the pre-monitoring event type is whether the temperature of the transformer room in the box-type substation is abnormal, the fixed time period T1 is one week, the fixed time interval t1 is 1 hour, and the target state parameter data set of the time unit is randomly collected once every 1 hour. The real-time temperature value of the transformer room is used as the first characteristic value x n1 , and collect the real-time temperature of the transformer room at the second time interval of t2 = 1 minute every hour, collect 60 times and add the real-time temperature to obtain the second characteristic value x n2 , n = 168. The specific pre-monitoring event type can be customized according to the actual monitoring needs, and the target state parameter and the specific physical quantity types such as the first characteristic value and the second characteristic value to be collected can be correspondingly confirmed, and the first time interval and the second time interval can be customized according to the actual monitoring needs. This embodiment only gives an exemplary description and will not be illustrated one by one.

[0088] In this feature matrix, each row corresponds to a time point (each hour), and each column corresponds to a specific feature. This structured approach allows the raw data to be converted into a format suitable for processing by machine learning algorithms for subsequent analysis and prediction. This approach enables the model to identify the relationship between time and power load, providing a basis for adjusting strategies.

[0089] Example 2

[0090] The present invention also provides a box-type substation intelligent monitoring system, which is used to execute the above-mentioned box-type substation intelligent monitoring method, including:

[0091] It is used to execute the intelligent monitoring method of box-type substation, including:

[0092] A data acquisition module, which is used to collect target state characteristic value data of each target device in the box-type substation in real time, and send the collected data information to the data processing module;

[0093] A data processing and judgment module, wherein the data processing module is used to process the collected data and make abnormal judgment based on the data processing results;

[0094] The control terminal issues control instructions and performs corresponding control processing based on the judgment results given by the data processing and judgment module.

[0095] In summary, by implementing the intelligent monitoring method and system of the box-type substation of the present invention, the operating efficiency of the substation can be significantly improved, the fault response speed can be increased, and the labor cost can be reduced; at the same time, through autonomous learning and optimization, the entire system has good adaptability and is less prone to errors.

[0096] Example 3

[0097] The temperature control devices of the transformers in existing box-type substations mostly monitor the temperature of the transformer room or the temperature near the high and low voltage terminals of the transformer as the starting condition of the heat dissipation equipment. The main heating parts of the transformer are the iron core and the coil. Therefore, when the box-type substation is used as a charging station, the internal heat dissipation system has certain defects.

[0098] Reference Figure 2-Figure 5 The present invention also discloses a box-type substation, which is connected to the above-mentioned box-type substation intelligent monitoring system, including: a box body 1, a high-voltage cabinet 2, a low-voltage cabinet 3, a transformer 4, a plurality of heat dissipation devices 5 and a transformer temperature controller 6, referring to Figure 3The heat dissipation device 5 is a fan. The high-voltage cabinet 2, the low-voltage cabinet 3 and the transformer 4 are all arranged in the box body 1. The high-voltage cabinet 2 is located on one side of the low-voltage cabinet 3 and the transformer 4. The transformer 4 is arranged above the low-voltage cabinet 3. The low-voltage cabinet 3 is provided with an operation panel 31. The transformer temperature controller 6 is arranged on the operation panel 31 of the low-voltage cabinet 3. The heat dissipation device 5 is embedded in the surface of the box body 1, and the heat dissipation device 5 is located on the side of the transformer 4. The transformer 4 is provided with a plurality of pressing blocks 41 and a plurality of temperature detectors 42. The pressing blocks 41 are insulating materials used to fix the coils, and each phase of the transformer 4 is provided with 9 pressing blocks 41. Each of the temperature detectors 42 is arranged in the pressing blocks 41. The temperature detector 42 and the heat sink 5 are both electrically connected to the transformer temperature controller 6, and the transformer temperature controller 6 is communicatively connected to the intelligent monitoring system of the box-type substation. The transformer temperature controller 6 mainly receives the signal from the temperature detector 42, controls the start-up of the heat sink 5, and sends an alarm and trips to the high-voltage cabinet 2; after the transformer temperature controller 6 receives the signal from the temperature detector 42, as long as the temperature at any point reaches the fan setting value, a signal is sent to start the heat sink 5; when the temperature detector 42 detects that the temperature at any point reaches the high temperature alarm setting value or the over-temperature trip setting value, the transformer temperature controller 6 sends a signal to the relay protection device of the high-voltage cabinet 2 or the opening coil of the switch to execute the relevant setting action.

[0099] Furthermore, a groove 411 is provided on the pressing block 41, and the temperature detector 42 is arranged in the groove 411, so that the temperature detector 42 can be closer to the heating point of the transformer 4, and the real-time temperature of the transformer 4 can be more accurately monitored, so that the transformer 4 can be better protected.

[0100] Furthermore, the transformer temperature controller 6 is provided with an RS485 communication interface, and is connected to the box-type substation intelligent monitoring system through the RS485 communication interface, so that the temperature changes of key parts of the transformer can be fully monitored.

[0101] The above-mentioned embodiment only expresses one implementation mode of the present invention, and its description is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. The intelligent monitoring method of box-type substation is characterized by: The following steps are involved: S1. Set target state characteristics Establish the pre-monitoring event type of box-type substation, and select the target state characteristics that need to be monitored according to the pre-monitoring event type of box-type substation; S2. Establish target state characteristic value monitoring model Based on the selected target state characteristics, a target state characteristic value monitoring model that needs to be collected is established; S3. Obtain target monitoring data Collect target state characteristic value data of the target box-type substation, substitute the collected target state characteristic value data into the target state characteristic value monitoring model, and calculate and obtain target monitoring data based on the output of the target state characteristic value monitoring model; S4. Establishment of event monitoring and abnormality judgment model for box-type substation Establishing a box-type substation event monitoring and abnormality judgment model, wherein the box-type substation event monitoring and abnormality judgment model is used to judge whether there is an operation abnormality in the box-type substation and give an abnormality judgment result; S5. Judgment and control of pre-monitoring events in box-type substation Based on the established box-type substation event monitoring and abnormality judgment model, the judgment results are output and corresponding control instructions are given based on the judgment results.

2. The intelligent monitoring method for a box-type substation according to claim 1 is characterized in that: The specific construction method of the target state characteristic value monitoring model in step S2 is as follows: Based on the collected target state parameters of the equipment in the box-type substation, a target state parameter characteristic matrix X within a preset fixed time period T1 for the target box-type substation is established; The target state parameter characteristic matrix X is specifically expressed as follows: The target feature matrix X represents the target state parameter data set with a fixed time interval t1 as the time unit within a fixed time period T1, x n1 represents the first characteristic value of the target state parameter collected according to the first data collection rule in each t1 time unit, x n2 represents the second characteristic value of the target state parameter collected according to the second data collection rule in each time unit t1, and n represents the number n of time units t1 in each fixed time period T1.

3. The intelligent monitoring method for box-type substation according to claim 2 is characterized in that: In step S3, the target state characteristic value data of the target box-type substation is collected, and specifically, the target state parameter value is collected once at the end of each time unit t1 as the first characteristic value x of the target state parameter. n1 Perform data storage; In each time interval t1, the target state parameter value is further collected according to the predetermined time interval t2, and the accumulated target state parameter values ​​are summed up as the second characteristic value x of the target state parameter. n2 ; After n rounds of cumulative collection, the target state parameter feature matrix X is finally formed.

4. The intelligent monitoring method for box-type substation according to claim 3 is characterized in that: In step S4, a box-type substation event monitoring and abnormality judgment model is established, including the following sub-steps: S41: Establishing a box-type substation event monitoring and early warning judgment function, the early warning judgment function is expressed as follows: Where E is the final warning judgment value, Y is the sum of the second eigenvalues ​​collected within a fixed time period T1, and Y 阈 is the second characteristic value sum threshold for the target device to operate normally within each fixed time period T1, where Y is specifically expressed as follows: S42: Establishing abnormality judgment rules The system terminal obtains the first characteristic value x of the collected target state parameter in real time n1 , and the first characteristic safety threshold x n1阈 When the system detects that the first characteristic value x appears twice in a fixed time period T1, n1 >x n1阈 When , it is determined that there is a potential operating abnormality; Within a fixed time period T1, the system terminal obtains the final warning judgment value E. When E>1, it is judged that an abnormality exists.

5. The intelligent monitoring method for box-type substation according to claim 4 is characterized in that: In step S5, based on the established box-type substation event monitoring and abnormality judgment model, the judgment result is output, and the corresponding control instructions are given based on the judgment result, which specifically includes: When it is determined that there is a potential operating anomaly, the control terminal automatically gives a warning prompt of the potential anomaly between monitoring events. The staff will conduct an abnormality investigation on the pre-monitoring event to confirm whether the monitoring event is actually abnormal and give a final conclusion; When it is determined that there is an operational abnormality, the control terminal automatically gives an early warning prompt that there is an abnormality in the monitoring time, and the system automatically sends the corresponding response measures to the staff, who conduct abnormal investigation and abnormal handling based on the pre-monitoring events.

6. The intelligent monitoring method for a box-type substation according to any one of claims 1 to 5, characterized in that: The pre-monitoring event types include whether the temperature of the transformer room in the box-type substation is abnormal, whether the temperature near the high and low voltage terminals of the transformer is abnormal, and the status characteristics that need to be monitored include the temperature value of the transformer room or the temperature value near the high and low voltage terminals of the transformer.

7. The intelligent monitoring method for a box-type substation according to claim 6 is characterized in that: The pre-monitoring event type is whether the temperature of the transformer room in the box-type substation is abnormal. The fixed time period T1 is one week, the fixed time interval t1 is 1 hour, and the target state parameter data set of the time unit is randomly collected once every 1 hour. The real-time temperature value of the transformer room is used as the first eigenvalue x n1 , and collect the real-time temperature of the transformer room at the second time interval of t2 = 1 minute every hour, collect 60 times and add the real-time temperature to obtain the second characteristic value x n2 , n=168.

8. The intelligent monitoring system of box-type substation is characterized by: It is used to execute the intelligent monitoring method of the box-type substation according to any one of claims 1 to 7, including: A data acquisition module, which is used to collect target state characteristic value data of each target device in the box-type substation in real time, and send the collected data information to the data processing module; A data processing and judgment module, wherein the data processing module is used to process the collected data and make abnormal judgment based on the data processing results; The control terminal issues control instructions and performs corresponding control processing based on the judgment results given by the data processing and judgment module.

9. Box-type substation, characterized in that: It is provided with the intelligent monitoring system of the box-type substation as claimed in claim 8, including: a box body, a high-voltage cabinet, a low-voltage cabinet, a transformer, a plurality of heat dissipation devices and a transformer temperature controller, the high-voltage cabinet, the low-voltage cabinet and the transformer are all arranged in the box body, the high-voltage cabinet is located on one side of the low-voltage cabinet and the transformer, the transformer is arranged above the low-voltage cabinet, the low-voltage cabinet is provided with an operation panel, the transformer temperature controller is arranged on the operation panel of the low-voltage cabinet, the heat dissipation device is embedded in the surface of the box body, and the heat dissipation device is located on one side of the transformer, the transformer is provided with a plurality of pressing blocks and a plurality of temperature detectors, each of the temperature detectors is arranged in the pressing block, the temperature detector and the heat dissipation device are electrically connected to the transformer temperature controller, and the transformer temperature controller is communicatively connected to the intelligent monitoring system of the box-type substation.

10. The box-type substation according to claim 8, characterized in that: The pressing block is provided with a groove, the temperature detector is arranged in the groove, and the transformer temperature controller is provided with an RS485 communication interface, and is connected with the box-type substation intelligent monitoring system through the RS485 communication interface.

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