Temperature detection method and system for box transformer substation, equipment and medium

Abstract

The invention relates to the technical field of wind power generation box transformer substations, in particular to a temperature detection method and system for a box transformer substation, equipment and a medium, and the method mainly comprises the steps that an abnormal index model is established, a current abnormal index is output according to current temperature data and the abnormal index model, and the temperature of the box transformer substation is detected. The method comprises the following steps of: acquiring an abnormal index, setting a plurality of division thresholds and a plurality of fault levels, outputting a current fault level through the abnormal index and the division thresholds, outputting a control signal for starting a plurality of cooling devices according to the fault level and basic data of the cooling devices, and when a waiting time threshold is reached for the second time and a manually processed feedback signal is not received, starting the cooling devices. And if yes, judging whether the current electrical equipment is powered off or not. By means of the method, manual detection is avoided as much as possible, abnormal conditions caused by temperature rise are handled online, handling can be conducted in time, and more serious problems caused by the fact that workers cannot find the abnormal conditions in time are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power box transformers, and in particular, to a temperature detection method, system, device, and medium for a box transformer. Background Art

[0002] In wind power generation, a box-type transformer (box transformer) is a core device connecting a wind turbine generator to the power grid. Due to its advantages such as flexible combination, easy transportation, convenient migration, easy installation, short construction period, low operation cost, small floor area, pollution-free, and maintenance-free, it has received extensive attention.

[0003] Wind farms are mostly located in coastal areas, deserts, or high-altitude areas, facing harsh environments such as salt spray, moisture, and dust. Therefore, there may be potential faults of excessive temperature rise in the box transformer caused by factors such as material aging, poor contact, and current overload inside the box transformer. Currently, for the temperature monitoring of electrical equipment, the most commonly used method is to conduct regular inspections by manually holding an infrared device. However, this method has many drawbacks, such as high labor intensity, the need to increase the number of staff, the inability to detect temperature abnormalities in a timely manner, and the inability to measure the temperature of some key joints inside the equipment. Summary of the Invention

[0004] The purpose of the present invention is to provide a temperature detection method, system, device, and medium for a box transformer to solve the above problems in the prior art.

[0005] The present invention is achieved through the following technical solutions:

[0006] In a first aspect, a temperature detection method for a box transformer provided by the present invention includes:

[0007] Obtain the temperature data of each electrical device in the box transformer, and determine whether the current box transformer has a temperature abnormality based on the current temperature data. If there is no temperature abnormality, continue to monitor;

[0008] If a temperature abnormality occurs, establish an abnormality index model, output the current abnormality index based on the current temperature data and the abnormality index model, set a number of division thresholds and a number of fault levels, and output the current fault level through the abnormality index and the division thresholds;

[0009] Set the weight coefficient of the current box transformer, correct the fault index through the weight coefficient, and output the corrected fault level;

[0010] Obtain the corrected fault level and the basic data of several cooling devices, and output control signals for turning on several cooling devices based on the fault level and the basic data of the cooling devices;

[0011] Set a waiting time threshold. After reaching the waiting time threshold, re-judge whether the current electrical equipment has abnormal temperature. If there is no abnormal temperature, continue to monitor;

[0012] If an abnormality occurs, send an alarm signal that requires manual processing. When the waiting time threshold is reached for the second time and no feedback signal for manual processing is received, judge whether to cut off the power of the current electrical equipment.

[0013] Preferably, the obtaining of various temperature data of each electrical equipment in the box transformer further includes data preprocessing, and the data preprocessing includes:

[0014] Judge whether there are missing values in the current various temperature data. If there are no missing values, no processing is required;

[0015] If there are missing values, obtain the target data values at the two unit times before the missing value at the current moment;

[0016] Obtain the average value of the two target data values and insert the average value into the position of the missing value.

[0017] Preferably, the judging whether the current electrical equipment has abnormal temperature according to the current various temperature data includes:

[0018] Judge whether each temperature data is greater than the temperature upper limit value corresponding to each type of temperature data. If there is no temperature data greater than the temperature upper limit value, output the result that there is no abnormal temperature;

[0019] If there is abnormal temperature data greater than the temperature upper limit value, obtain the number of types of abnormal temperature data, obtain the abnormality rate of the current temperature data through the number of types of abnormal temperature data, and judge whether there is abnormal temperature through the abnormality rate.

[0020] Preferably, the establishing of the abnormal index model includes obtaining abnormal temperature data;

[0021]

[0022] In the formula, P l is the abnormal index, ρ is the abnormality rate, T a is the temperature of the three-phase contact point of the high-voltage bushing, T z is the upper limit value of the temperature of the three-phase contact point of the high-voltage bushing, T n is the temperature of the three-phase contact point of the low-voltage bushing, T m is the upper limit value of the temperature of the three-phase contact point of the low-voltage bushing, T l is the temperature of the three-phase contact point of the high-voltage fuse, T k is the upper limit value of the temperature of the three-phase contact point of the high-voltage fuse, T o is the temperature of the three-phase contact point of the low-voltage circuit breaker, T pis the upper limit of the temperature of the three-phase contact points of the low-voltage circuit breaker.

[0023] Preferably, the setting of several division thresholds and several fault levels includes:

[0024]

[0025] When P l < P ε,1 Output a first-level fault level. When P ε,1 ≤ P l ≤ P ε,2 Output a second-level fault level. When P l > P ε,2 , output a third-level fault level. Wherein, P ε,1 is the first judgment threshold, P ε,2 is the second judgment threshold, and N is the number of types of current abnormal temperature data.

[0026] Preferably, the setting of the weight coefficient of the current transformer substation and the correction of the fault index by the weight coefficient include:

[0027] P r = λP l

[0028]

[0029] Wherein, P r is the corrected fault index, λ is the weight coefficient, Q a is the cost of the current transformer substation, Q b is the average cost of the transformer substations in the current wind farm, U a is the rated voltage of the current transformer substation, U b is the average rated voltage of the transformer substations in the current wind farm, P a is the rated power of the current transformer substation, P b is the average rated power of the transformer substations in the current wind farm, E a is the number of maintenance personnel of the current transformer substation, E b is the average number of maintenance personnel of the transformer substations in the current wind farm.

[0030] Preferably, the output of control signals for turning on several cooling devices according to the fault level and the basic data of the cooling devices includes:

[0031] Obtain the working power and the maximum allowable power of the current transformer substation, and obtain the difference value through the current working power and the maximum allowable power;

[0032] If the current fault level is a first-level fault level, the sum of the working powers of the turned-on cooling devices is 30% of the difference value;

[0033] If the current fault level is the secondary fault level, the sum of the operating powers of the activated cooling devices is 60% of the difference value;

[0034] If the current fault level is the secondary fault level, the sum of the operating powers of the activated cooling devices is 90% of the difference value.

[0035] In a second aspect, the present invention also provides a temperature detection system for a box-type substation, including:

[0036] An anomaly recognition module, configured to obtain various temperature data of each electrical device in the box-type substation, and determine whether the current box-type substation has a temperature anomaly based on the current various temperature data. If there is no temperature anomaly, continue to monitor; if there is a temperature anomaly, establish an anomaly index model, output the current anomaly index based on the current various temperature data and the anomaly index model, set a number of division thresholds and a number of fault levels, and output the current fault level through the anomaly index and the division thresholds; set the weight coefficient of the current box-type substation, and correct the fault index through the weight coefficient to output the corrected fault level;

[0037] A cooling module, configured to obtain the corrected fault level and the basic data of several types of cooling devices, and output control signals for activating several cooling devices based on the fault level and the basic data of the cooling devices; set a waiting time threshold, and when the waiting time threshold is reached, re-determine whether the current electrical device has a temperature anomaly. If there is no temperature anomaly, continue to monitor; if there is an anomaly, send an alarm signal that requires manual handling. When the waiting time threshold is reached again and no feedback signal for manual handling is received, determine whether to cut off the power supply of the current electrical device;

[0038] A main control device, which is connected to the anomaly recognition module and the cooling module, and is used to execute the above-mentioned temperature detection method for a box-type substation.

[0039] In a third aspect, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements the above-mentioned temperature detection method for a box-type substation.

[0040] In a fourth aspect, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the above-mentioned temperature detection method for a box-type substation.

[0041] The technical solution of the present invention has at least the following advantages and beneficial effects:

[0042] The method provided by the present invention mainly includes establishing an abnormal index model, outputting the current abnormal index according to the current temperature data and the abnormal index model, setting several division thresholds and several fault levels, outputting the current fault level through the abnormal index and the division threshold, outputting the control signal of opening several cooling devices according to the fault level and the basic data of the cooling device, and judging whether to power off the current electrical device after reaching the waiting time threshold for the second time and not receiving the feedback signal of manual processing. The above method avoids manual detection as much as possible, and can handle the abnormal situation caused by the temperature rise online, and can handle it in time, avoiding more serious problems caused by the staff's failure to find it in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are 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 creative work.

[0044] Figure 1 It is a control flow diagram of the present invention;

[0045] Figure 2 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions 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. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0047] The terms "first, second" and the like in the specification and claims of this application and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. The naming or numbering of steps in this application does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The named or numbered process steps can be changed in the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.

[0048] An independently described module or sub-module may or may not be physically separated: it may be implemented in software or in hardware, and some modules or sub-modules may be implemented in software, and the processor calls the software to implement the functions of these modules or sub-modules, while other modules or sub-modules are implemented in hardware, for example, through a hardware circuit. In addition, some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of the present application.

[0049] Please refer to Figure 1 - Figure 2 , a temperature detection method for a box-type substation, including:

[0050] S101: Obtain the temperature data of each electrical device in the box-type substation, and judge whether the current box-type substation has a temperature anomaly according to the current temperature data. If there is no temperature anomaly, continue to monitor;

[0051] In this embodiment, the box-type substation includes devices such as high-voltage bushings, low-voltage bushings, high-voltage fuses, and low-voltage circuit breakers. The data involved includes the temperature of the three-phase contact points of the high-voltage bushing, the temperature of the three-phase contact points of the low-voltage bushing and the neutral point, the temperature of the three-phase contacts of the high-voltage fuse, the three-phase lower contacts of the low-voltage circuit breaker, and the problems of key parts such as oil temperature.

[0052] S102: If a temperature anomaly occurs, establish an anomaly index model, output the current anomaly index according to the current temperature data and the anomaly index model, set a number of division thresholds and a number of fault levels, and output the current fault level through the anomaly index and the division threshold;

[0053] An objective evaluation of the degree of the current temperature anomaly of the box-type substation is carried out through the anomaly index model, and the current severity is quantified through the obtained results, that is, it is divided into different fault levels.

[0054] S103: Set the weight coefficient of the current box-type substation, correct the fault index through the weight coefficient, and output the corrected fault level;

[0055] Since the situations of different box-type substations are different and their importance in the entire wind power generation system is also different, a weight coefficient is obtained according to the own data of each box-type substation, and the final anomaly index is corrected through the weight coefficient.

[0056] S104: Obtain the corrected fault level and the basic data of several cooling devices, and output the control signals for turning on several cooling devices according to the fault level and the basic data of the cooling devices;

[0057] Among them, the activation of the cooling equipment will surely increase the overall power of the box substation. Therefore, a more reasonable method for activating the cooling equipment is required. In this solution, it is combined with the current fault level for judgment.

[0058] S105: Set a waiting time threshold. When the waiting time threshold is reached, re-judge whether the current electrical equipment has abnormal temperature. If there is no abnormal temperature, continue to monitor;

[0059] After activating the cooling equipment for cooling treatment, it is necessary to detect again whether the cooling is successful. If the cooling is not successful, it means that the situation cannot be processed through the remote device, and on-site manual processing is required to reduce the probability of danger.

[0060] S106: If an abnormality occurs, send an alarm signal that requires manual processing. When the waiting time threshold is reached again and no feedback signal for manual processing is received, judge whether to cut off the power supply of the current electrical equipment.

[0061] The feedback signal for manual processing can be the entry signal of the operator, or the signal of the equipment switch. When the feedback signal for manual processing is not received for a long time, the probability of danger further increases, and it is necessary to judge whether to cut off the power supply. In this embodiment, power-off processing can be selected.

[0062] The method provided by the present invention mainly includes establishing an abnormal index model, outputting the current abnormal index according to the current temperature data, setting several division thresholds and several fault levels, outputting the current fault level through the abnormal index and the division thresholds, and outputting control signals for activating several cooling equipment according to the fault level and the basic data of the cooling equipment. When the waiting time threshold is reached again and no feedback signal for manual processing is received, judge whether to cut off the power supply of the current electrical equipment. Through the above method, manual detection is avoided as much as possible, the abnormal situation caused by the increase in temperature is processed online, and it can be processed in a timely manner to avoid more serious problems caused by the failure of the staff to detect in time.

[0063] In an exemplary embodiment of the present invention, the acquisition of various temperature data of each electrical equipment in the box substation further includes data preprocessing, and the data preprocessing includes:

[0064] Judge whether there are missing values in the current temperature data. If there are no missing values, no processing is required; if there are missing values, obtain the target data values at the two previous unit times of the missing value at the current moment; obtain the average value of the two target data values, and insert the average value into the position of the missing value.

[0065] Through the above preprocessing steps, the temperature data of the box-type substation will be clearer and more reliable, providing high-quality input for subsequent fault early warning, health status assessment, or energy efficiency optimization.

[0066] In an exemplary embodiment of the present invention, determining whether the current electrical equipment has abnormal temperature according to the current temperature data includes:

[0067] Determine whether each temperature data is greater than the upper limit value of the temperature corresponding to each type of temperature data. If there is no temperature data greater than the upper limit value, output the result that no temperature abnormality has occurred;

[0068] If there is abnormal temperature data greater than the upper limit value, obtain the number of types of abnormal temperature data, obtain the abnormality rate of the current temperature data through the number of types of abnormal temperature data, and determine whether temperature abnormality has occurred through the abnormality rate.

[0069] In this embodiment, the upper limit value of the abnormality rate can be set at 0.05. If the current abnormality rate is greater than 0.05, it can be determined that a temperature abnormality has occurred.

[0070] In an exemplary embodiment of the present invention, establishing the abnormal index model includes obtaining abnormal temperature data;

[0071]

[0072] In the formula, P l is the abnormal index, T is the abnormality rate, T a is the temperature of the three-phase contact point of the high-voltage bushing, T z is the upper limit value of the temperature of the three-phase contact point of the high-voltage bushing, T n is the temperature of the three-phase contact point of the low-voltage bushing, T m is the upper limit value of the temperature of the three-phase contact point of the low-voltage bushing, T l is the temperature of the three-phase contact point of the high-voltage fuse, T k is the upper limit value of the temperature of the three-phase contact point of the high-voltage fuse, T o is the temperature of the three-phase contact point of the low-voltage circuit breaker, T p is the upper limit value of the temperature of the three-phase contact point of the low-voltage circuit breaker.

[0073] Through the above model, the difference rate between each data and the average value of the current data is considered. The greater the difference, the more dangerous the equipment is at this time. Through the comprehensive calculation of various data, a relatively objective abnormal index is obtained, and a result of the fault level is output through the division threshold where the abnormal index is located.

[0074] Secondly, setting several division thresholds and several fault levels includes:

[0075]

[0076] When P l <P ε,1 , output the first - level fault level. When P ε,1 ≤P l ≤P ε,2 , output the second - level fault level. When P l >P ε,2 , output the third - level fault level. Wherein, P ε,1 is the first judgment threshold, P ε,2 is the second judgment threshold, and N is the number of types of current abnormal temperature data.

[0077] In an exemplary embodiment of the present invention, the setting of the weight coefficient of the current transformer substation and the correction of the fault index by the weight coefficient include:

[0078] P r =λP l

[0079]

[0080] Wherein, P r is the corrected fault index, λ is the weight coefficient, Q a is the current transformer substation cost, Q b is the average transformer substation cost of the current wind farm, U a is the rated voltage of the current transformer substation, U b is the average rated voltage of the transformer substations in the current wind farm, P a is the rated power of the current transformer substation, P b is the average rated power of the transformer substations in the current wind farm, E a is the number of maintenance personnel for the current transformer substation, E b is the average number of maintenance personnel for the transformer substations in the current wind farm.

[0081] In this embodiment, by comprehensively considering the four core indicators of transformer substation cost, rated voltage, rated power, and number of maintenance personnel, a multi - dimensional scientific evaluation system can be constructed. Among them, high - cost transformer substations often involve complex technologies and core power supply nodes, and their failures may double the grid repair cost. The rated voltage directly reflects the strategic position of the equipment in the power grid topology. The rated power index can quantify the key degree of the equipment in the load curve. The number of maintenance personnel required reflects the complexity of the equipment and the failure probability.

[0082] Considering the transformer substation cost, the costs of different transformer substations determine the importance of the current transformer substation and the functions to be achieved.

[0083] In an exemplary embodiment of the present invention, outputting control signals for turning on several cooling devices according to the fault level and the basic data of the cooling devices includes:

[0084] Obtain the working power and the maximum allowable power of the current transformer substation, and obtain the difference value through the current working power and the maximum allowable power;

[0085] If the current fault level is the first-level fault level, the sum of the working powers of the cooling devices turned on is 30% of the difference value;

[0086] If the current fault level is the second-level fault level, the sum of the working powers of the cooling devices turned on is 60% of the difference value;

[0087] If the current fault level is the second-level fault level, the sum of the working powers of the cooling devices turned on is 90% of the difference value.

[0088] In a second aspect, the present invention also provides a temperature detection system for a transformer substation, including:

[0089] An abnormality recognition module, configured to obtain various temperature data of each electrical device in the transformer substation, and judge whether the current transformer substation has a temperature abnormality according to the current various temperature data. If there is no temperature abnormality, continue to monitor; if there is a temperature abnormality, establish an abnormality index model, output the current abnormality index according to the current various temperature data and the abnormality index model, set a number of division thresholds and a number of fault levels, and output the current fault level through the abnormality index and the division thresholds; set the weight coefficient of the current transformer substation, and correct the fault index through the weight coefficient to output the corrected fault level;

[0090] A cooling module, configured to obtain the corrected fault level and the basic data of several cooling devices, and output control signals for turning on several cooling devices according to the fault level and the basic data of the cooling devices; set a waiting time threshold, and when the waiting time threshold is reached, re-judge whether the current electrical device has a temperature abnormality. If there is no temperature abnormality, continue to monitor; if there is an abnormality, send an alarm signal that requires manual processing. When the waiting time threshold is reached again and no feedback signal of manual processing is received, judge whether to cut off the power of the current electrical device;

[0091] A main control device, the main control device is connected to the abnormality recognition module and the cooling module, and is used to execute the above-mentioned temperature detection method for a transformer substation.

[0092] In addition, in each embodiment of the present invention, each functional unit can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0093] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs.

[0094] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A temperature detection method for a box-type substation, characterized in that, Including: Obtain the temperature data of each electrical equipment in the box substation, and judge whether the current box substation has abnormal temperature according to the current temperature data. If there is no abnormal temperature, continue to monitor; If there is an abnormal temperature, establish an abnormal index model, output the current abnormal index according to the current temperature data and the abnormal index model, set several division thresholds and several fault levels, and output the current fault level through the abnormal index and the division thresholds; Set the weight coefficient of the current box substation, and correct the fault index through the weight coefficient to output the corrected fault level; Obtain the corrected fault level and the basic data of several cooling devices, and output the control signals for turning on several cooling devices according to the fault level and the basic data of the cooling devices; Set the waiting time threshold. When the waiting time threshold is reached, re-judge whether the current electrical equipment has abnormal temperature. If there is no abnormal temperature, continue to monitor; If there is an abnormality, send an alarm signal that requires manual processing. When the waiting time threshold is reached again and no feedback signal of manual processing is received, judge whether to cut off the power of the current electrical equipment.

2. The temperature detection method for a box-type substation according to claim 1, wherein, The obtaining of the temperature data of each electrical equipment in the box substation further includes data preprocessing, and the data preprocessing includes: Judge whether there are missing values in the current temperature data. If there are no missing values, do not process; If there are missing values, obtain the target data values at the two unit times before the missing value at the current moment; Obtain the average value of the two target data values, and insert the average value into the position of the missing value.

3. The temperature detection method for box-type substation according to claim 2, wherein, The judging whether the current electrical equipment has abnormal temperature according to the current temperature data includes: Judge whether each temperature data is greater than the upper limit value of the temperature corresponding to each type of temperature data. If there is no temperature data greater than the upper limit value of the temperature, output the result that there is no abnormal temperature; If there is abnormal temperature data greater than the upper limit value of the temperature, obtain the number of types of abnormal temperature data, obtain the abnormal rate of the current temperature data through the number of types of abnormal temperature data, and judge whether there is abnormal temperature through the abnormal rate.

4. A temperature detection method for a box-type substation according to claim 3, characterized in that, The establishing of the abnormal index model includes obtaining abnormal temperature data; Wherein, P l is the anomaly index, ρ is the anomaly rate, T a is the temperature of the three-phase contact point of the high-voltage bushing, T z is the upper limit value of the temperature of the three-phase contact point of the high-voltage bushing, T n is the temperature of the three-phase contact point of the low-voltage bushing, T m is the upper limit value of the temperature of the three-phase contact point of the low-voltage bushing, T l is the temperature of the three-phase contact point of the high-voltage fuse, T k is the upper limit value of the temperature of the three-phase contact point of the high-voltage fuse, T o is the temperature of the three-phase contact point of the low-voltage circuit breaker, T p is the upper limit value of the temperature of the three-phase contact point of the low-voltage circuit breaker.

5. A temperature detection method for a box-type substation according to claim 4, characterized in that, The setting of several division thresholds and several fault levels includes: P ε,2 = 2P ε,1 When P l <P ε,1 , output the first-level fault level. When P ε,1 ≤P l ≤P ε,2 , output the second-level fault level. When P l >P ε,2 , output the third-level fault level. In the formula, P ε,1 is the first judgment threshold, P ε,2 is the second judgment threshold, and N is the number of types of current abnormal temperature data.

6. A temperature detection method for a box-type substation according to claim 5, characterized in that, The setting of the weight coefficient of the current box substation and the correction of the fault index through the weight coefficient includes: P r = λP l Wherein, P r is the corrected fault index, λ is the weight coefficient, Q a is the current box substation cost, Q b is the average box substation cost of the current wind farm, U a is the rated voltage of the current box substation, U b the average rated voltage of the box substations in the current wind farm, P a is the rated power of the current box substation, P b is the average rated power of the box substations in the current wind farm, E a is the number of maintenance personnel for the current box substation, E b the average number of maintenance personnel for the box substations in the current wind farm.

7. A temperature detection method for a box-type substation according to claim 6, characterized in that The outputting of the control signals for turning on several cooling devices according to the fault level and the basic data of the cooling devices includes: Obtain the working power and the maximum allowable power of the current box substation, and obtain the difference value through the current working power and the maximum allowable power If the current fault level is the first-level fault level, the sum of the working powers of the turned-on cooling devices is 30% of the difference value; If the current fault level is the second-level fault level, the sum of the working powers of the turned-on cooling devices is 60% of the difference value; If the current fault level is the third-level fault level, the sum of the working powers of the turned-on cooling devices is 90% of the difference value.

8. A temperature detection system for a box-type substation, characterized in that Including: Anomaly recognition module, configured to obtain various temperature data of each electrical equipment in the box-type substation, and determine whether the current box-type substation has temperature anomalies based on the current various temperature data. If there is no temperature anomaly, continue to monitor; if there is a temperature anomaly, establish an anomaly index model, output the current anomaly index according to the current various temperature data and the anomaly index model, and set a number of division thresholds and a number of fault levels, and output the current fault level through the anomaly index and the division thresholds; set the weight coefficient of the current box-type substation, and correct the fault index through the weight coefficient to output the corrected fault level; Cooling module, configured to obtain the corrected fault level and the basic data of several cooling devices, and output control signals for turning on several cooling devices according to the fault level and the basic data of the cooling devices; set a waiting time threshold, when the waiting time threshold is reached, re-determine whether the current electrical equipment has temperature anomalies. If there is no temperature anomaly, continue to monitor; if there is an anomaly, send an alarm signal that requires manual handling. When the waiting time threshold is reached again and no feedback signal of manual handling is received, determine whether to cut off the power of the current electrical equipment; Main control device, the main control device is connected to the anomaly recognition module and the cooling module, and is used to execute a temperature detection method for a box-type substation according to any one of claims 1-7.

9. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements a temperature detection method for a box-type substation according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, and when the computer program is executed by the processor, it implements a temperature detection method for a box-type substation according to any one of claims 1-7.

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