A remote monitoring system and method for high voltage switch cabinet

Abstract

The present invention belongs to the technical field of electrical engineering monitoring. The present invention provides a remote monitoring system and method for a high-voltage switch cabinet. Parameter data of the high-voltage switch cabinet is collected in real time, and the parameter data includes voltage, current and temperature. The collected parameters of voltage, current and temperature are processed to obtain voltage representative values, current representative values ​​and temperature representative values, so that the three data items of voltage representative value, current representative value and temperature representative value can be used to timely discover and perform maintenance in advance, and potential failures of the high-voltage switch cabinet can be predicted, providing data support for equipment maintenance. In addition, based on the abnormal situation of the high-voltage cabinet, the energy consumption of the high-voltage switch cabinet is verified, thereby avoiding the situation that two of the three data items, one higher and the other lower, are within the corresponding interval range, but the energy consumption is not within the set interval range, thereby improving accuracy.

Description

Technical Field

[0001] The invention belongs to the technical field of electrical engineering monitoring, and in particular relates to a remote monitoring system and method for a high-voltage switch cabinet. Background Art

[0002] Traditional on-site inspection methods can no longer meet the requirements of modern power systems, and remote monitoring systems can form a complete monitoring network. Based on the three data of voltage, current and temperature, faults can be discovered in time and maintenance can be performed in advance. It can also predict potential failures of high-voltage switchgear and provide data support for equipment maintenance.

[0003] A Chinese patent application with publication number CN113363849A discloses a remote monitoring device for a high-voltage switch cabinet and a high-voltage switch, including: a high-voltage switch cabinet and a temperature measurement system arranged thereon, a fixing frame, a smoke sensor and a humidity sensor are respectively arranged in the high-voltage switch cabinet, a high-voltage disconnector is arranged on the upper end of the fixing frame, a fan, a heating box and a main electric push rod are respectively arranged on the outer wall of the high-voltage switch cabinet. The air outlet of the heating box is connected to the exhaust duct, and a branch air duct is connected to the exhaust duct. The air outlet end of the branch air duct is arranged on one side of the high-voltage disconnector, a frame groove is provided in the front of the high-voltage switch cabinet, a fireproof cover is inserted in the frame groove, and the telescopic end of the main electric push rod is arranged on the fireproof cover.

[0004] In the prior art, if the wireless temperature measurement sensor in the temperature measurement system detects an abnormality, the cooling air will be discharged from the bronchus through the fan to ventilate and dissipate heat for the contact positions in the high-voltage switch cabinet, which can effectively deal with the abnormal heating in the high-voltage switch cabinet in an emergency. However, it does not take into account whether the wireless temperature measurement sensor in the temperature measurement system can detect abnormal conditions accurately, and it does not take into account the impact of factors other than temperature on voltage and current.

[0005] To this end, the present invention provides a remote monitoring system and method for a high-voltage switch cabinet. Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: a remote monitoring system and method for a high-voltage switch cabinet, comprising: step 1, collecting parameter data of the high-voltage switch cabinet in real time, the parameter data including voltage, current and temperature;

[0008] Step 2: Processing the collected parameters voltage, current and temperature to obtain voltage representative value, current representative value and temperature representative value;

[0009] Step 3, based on the processed voltage, current and temperature data, determine whether an abnormal situation occurs;

[0010] Step 4: Based on the abnormal situation of the high-voltage cabinet, verify through the energy consumption of the high-voltage switch cabinet;

[0011] In step 4, based on the temperature subunit voltage value and the temperature subunit current value obtained in step 3, a temperature voltage entropy value and a temperature current entropy value are obtained;

[0012] C1, summing up several temperature sub-unit voltage values ​​and temperature sub-unit current values ​​and taking the average values, and taking the average values ​​as the temperature voltage entropy value and the temperature current entropy value respectively;

[0013] C2, the energy consumption value W is obtained by the formula: W = (U × I-U1 × θ × I1 × ω) × μ, where U represents the rated voltage value, I represents the rated current value, U1 represents the voltage representative value, I1 represents the current representative value, θ and ω represent the temperature voltage entropy value and the temperature current entropy value respectively, and μ represents the preset proportionality coefficient;

[0014] C3, subtract the energy consumption value W from the preset specified energy consumption value, and compare the difference with the preset determination energy consumption threshold. The specific comparison process is as follows:

[0015] If the difference between the energy consumption value W and the preset specified energy consumption value is greater than or equal to the energy consumption determination threshold, then the determination that an abnormal situation has occurred is accurate;

[0016] If the difference between the energy consumption value W and the preset specified energy consumption value is less than the energy consumption determination threshold, then it is inaccurate to determine that an abnormal situation has occurred.

[0017] As a further explanation of the present invention: in step 2, the noise of the collected parameter voltage, current and temperature data is eliminated to obtain the processed parameter voltage, current and temperature data. Based on the processed parameter voltage, current and temperature data, the voltage representative value, current representative value and temperature representative value are obtained respectively. The processing process is as follows:

[0018] A1, calibrating based on the processed parameter voltage data to obtain a representative value of the parameter voltage data;

[0019] A2, calibrating based on the processed parameter temperature data to obtain a representative value of the parameter temperature data;

[0020] A3, calibrating based on the processed parameter current data to obtain a representative value of the parameter current data.

[0021] As a further explanation of the present invention: in A1, the calibrated parameter voltage data is obtained by cleaning and deleting the missing values ​​and duplicate values ​​in the processed parameter voltage data;

[0022] A101, obtaining a standard deviation value based on the calibrated parameter voltage data, and using the standard deviation value as a representative value of the parameter voltage data change;

[0023] A102, summing and averaging the parameter voltage data after calibration in the time sub-unit, and taking the average value as a representative value of the parameter voltage data after calibration in the time sub-unit;

[0024] A103, summing up the representative values ​​of the parameter voltage data after calibration in each time subunit, multiplying the summed value by the representative value of the parameter voltage data change, and using the obtained product value as the representative value of the parameter voltage data after calibration.

[0025] As a further explanation of the present invention: In A2, the processed parameter temperature data is punctuated and connected on a two-dimensional coordinate system to obtain a parameter temperature data change curve graph;

[0026] A201, based on the parameter temperature data change curve graph, divide the curve graph into a number of equal parts of the line graph;

[0027] A202, obtaining an absolute value of a slope based on a plurality of equally spaced line graphs, and using the absolute value of the slope as a representative value of a temperature change of each equally spaced line graph;

[0028] A203, sum and average the representative values ​​of temperature changes in each equal part of the line graph, and use the average value as the representative value of the parameter temperature data.

[0029] As a further illustration of the present invention: in A3, based on the temperature data representative value, the resistance representative value is obtained, and based on the resistance representative value, the processed parameter current data and the parameter voltage data representative value, the parameter circuit data representative value is obtained;

[0030] A301, the resistance representative value R is obtained by the formula: R = R1 × TL × α, TL represents the resistance representative value, and α represents the preset proportionality coefficient;

[0031] A302, based on the processed parameter circuit data, summing and obtaining the square difference, subtracting the processed parameter current data from the square difference, summing the difference and obtaining the absolute value;

[0032] A303, according to Ohm's law formula: The parameter current data representative value I is obtained, U is represented as the parameter voltage data representative value, and β is represented as the absolute value of the processed parameter current data and the square difference.

[0033] As a further explanation of the present invention: In step 3, the voltage, current and temperature data are analyzed to determine the voltage representative value and the current representative value to compare the corresponding interval ranges respectively, and the corresponding interval ranges are obtained. The specific process is as follows:

[0034] B1, recording the voltage data under different temperature data, and obtaining the voltage variation range of the voltage data under the influence of temperature;

[0035] B2, recording the current data under different temperature data to obtain the current variation range of the current data under the influence of temperature;

[0036] B3, compare the voltage representative value and the current representative value with the voltage change interval and the current change interval respectively. The specific comparison process is as follows:

[0037] If both the voltage representative value and the current representative value are within the voltage variation interval and the current variation interval, it is determined that no abnormality occurs;

[0038] If one of the voltage representative value and the current representative value does not exist in the voltage variation interval and the current variation interval, it is determined that an abnormal situation occurs.

[0039] As a further explanation of the present invention: In B1, the voltage change data corresponding to different temperature change data are recorded, and each voltage data corresponding to each temperature data is represented on a two-dimensional coordinate system. The specific processing process is as follows:

[0040] B101, respectively subtract the temperature data in two adjacent time periods, and use the difference as the temperature data change value;

[0041] B102, based on the temperature data in two adjacent time periods, subtract the two voltage data corresponding to the two temperature data, and use the difference as the voltage data change value;

[0042] B103, based on the temperature data change value and the voltage data change value, obtain the temperature change subunit voltage value, the specific formula is: temperature change subunit voltage value = voltage data change value / temperature data change value;

[0043] B104, based on the temperature change sub-unit voltage value, sum up several temperature change sub-unit voltage values, take the square root of the sum, and use the square root value as the minimum value within the voltage range, and use the preset rated voltage value as the maximum value within the voltage range.

[0044] As a further explanation of the present invention: In B2, the current data corresponding to different temperature change data are recorded, and each voltage data corresponding to each temperature data is represented on a two-dimensional coordinate system. The specific processing process is as follows:

[0045] B201, respectively subtract the temperature data in two adjacent time periods, and use the difference as the temperature data change value;

[0046] B202, based on the temperature data in two adjacent time periods, subtract the two current data corresponding to the two sets of temperature data, and use the difference as the current data change value;

[0047] B203, based on the temperature data change value and the current data change value, obtain the temperature change sub-unit current value, the specific formula is: temperature change sub-unit current value = current data change value / temperature data change value;

[0048] B204, based on the temperature change sub-unit current value, calculate the square sum of several temperature change sub-unit current values ​​and take the square root, take the square root value as the minimum value within the current range, and take the preset rated current value as the maximum value within the current range.

[0049] As a further illustration of the present invention: In A3, the specific comparison process is as follows:

[0050] If both the voltage representative value and the current representative value are within the voltage variation interval and the current variation interval, it is determined that no abnormality occurs;

[0051] If one of the voltage representative value and the current representative value does not exist in the voltage variation interval and the current variation interval, it is determined that an abnormal situation occurs.

[0052] As a further illustration of the present invention: a data acquisition and monitoring module, a data processing and analysis module, and a data detection module;

[0053] Data acquisition and monitoring module: used to collect parameter data of high-voltage switchgear in real time, including voltage sensor, current sensor and temperature sensor;

[0054] The voltage sensor is used to monitor the voltage change data in the circuit in real time;

[0055] The current sensor is used to monitor the current change data in the circuit in real time;

[0056] The temperature sensor is used to monitor the temperature change data in the circuit in real time;

[0057] Data processing and analysis module: used to process the collected parameters voltage, current and temperature to obtain voltage representative value, current representative value and temperature representative value;

[0058] Data detection module: used to verify abnormal situations of high-voltage cabinets through the energy consumption of high-voltage switch cabinets.

[0059] The beneficial effects of the present invention are as follows:

[0060] 1. The remote monitoring system and method of a high-voltage switchgear described in the present invention collects parameter data of the high-voltage switchgear in real time, and the parameter data includes voltage, current and temperature. The collected parameters of voltage, current and temperature are processed to obtain voltage representative values, current representative values ​​and temperature representative values, so that faults can be discovered in time and maintenance can be performed in advance based on the three data items of voltage representative values, current representative values ​​and temperature representative values. In addition, potential faults of the high-voltage switchgear can be predicted, and data support is provided for equipment maintenance.

[0061] 2. The remote monitoring system and method of a high-voltage switchgear described in the present invention records the voltage data under different temperature data to obtain the voltage change range of the voltage data under the influence of temperature, records the current data under different temperature data to obtain the current change range of the current data under the influence of temperature, compares the voltage representative value and the current representative value with the voltage change range and the current change range respectively, and determines whether the abnormal situation is accurate, thereby avoiding the situation where two of the three data, one higher and the other lower, are within the corresponding range, but the energy consumption is not within the set range, thereby improving accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The present invention will be further described below in conjunction with the accompanying drawings.

[0063] Figure 1 is a flow chart of Embodiment 1 of the present invention;

[0064] Figure 2 It is a flow chart of the second embodiment of the present invention. DETAILED DESCRIPTION

[0065] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0066] Embodiment 1

[0067] like Figure 1 As shown, a remote monitoring method for a high-voltage switch cabinet according to an embodiment of the present invention comprises the following steps:

[0068] Step 1: collect parameter data of the high-voltage switchgear in real time, the parameter data including voltage, current and temperature;

[0069] Step 2: Processing the collected parameters voltage, current and temperature to obtain voltage representative value, current representative value and temperature representative value;

[0070] In step 2, the noise of the collected parameter voltage, current and temperature data is eliminated to obtain the processed parameter voltage, current and temperature data. Based on the processed parameter voltage, current and temperature data, the voltage representative value, current representative value and temperature representative value are obtained respectively. The processing process is as follows:

[0071] A1, calibrating based on the processed parameter voltage data to obtain a representative value of the parameter voltage data;

[0072] In A1, the missing values ​​and duplicate values ​​in the processed parameter voltage data are cleaned and deleted to obtain the corrected parameter voltage data;

[0073] A101, obtaining a standard deviation value based on the calibrated parameter voltage data, and using the standard deviation value as a representative value of the parameter voltage data change;

[0074] A102, summing and averaging the parameter voltage data after calibration in the time sub-unit, and taking the average value as a representative value of the parameter voltage data after calibration in the time sub-unit;

[0075] A103, summing the representative values ​​of the parameter voltage data after calibration in each time subunit, multiplying the summed value by the representative value of the parameter voltage data change, and using the obtained product value as the representative value of the parameter voltage data after calibration;

[0076] A2, calibrating based on the processed parameter temperature data to obtain a representative value of the parameter temperature data;

[0077] In A2, the processed parameter temperature data is punctuated and connected on a two-dimensional coordinate system to obtain a parameter temperature data change curve graph;

[0078] A201, based on the parameter temperature data change curve graph, divide the curve graph into a number of equal parts of the line graph;

[0079] A202, obtaining an absolute value of a slope based on a plurality of equally spaced line graphs, and using the absolute value of the slope as a representative value of a temperature change of each equally spaced line graph;

[0080] A203, summing up the representative values ​​of the temperature changes of each equal portion of the line graph to obtain an average value, and using the average value as the representative value of the parameter temperature data;

[0081] A3, calibrating based on the processed parameter current data to obtain a representative value of the parameter current data;

[0082] In A3, based on the representative value of the temperature data, the representative value of the resistance is obtained, and based on the representative value of the resistance, the processed parameter current data and the representative value of the parameter voltage data, the representative value of the parameter circuit data is obtained;

[0083] A301, the resistance representative value R is obtained by the formula: R = R1 × TL × α, TL represents the resistance representative value, and α represents the preset proportionality coefficient;

[0084] A302, based on the processed parameter circuit data, summing and obtaining the square difference, subtracting the processed parameter current data from the square difference, summing the difference and obtaining the absolute value;

[0085] A303, according to Ohm's law formula: The parameter current data representative value I is obtained, U is represented as the parameter voltage data representative value, and β is represented as the absolute value of the processed parameter current data and the square difference;

[0086] Step 3, based on the processed voltage, current and temperature data, determine whether an abnormal situation occurs;

[0087] In step three, the voltage, current and temperature data are analyzed to determine the voltage representative value and the current representative value, and the corresponding interval range is compared respectively, and the corresponding interval range is obtained. The specific process is as follows:

[0088] B1, recording the voltage data under different temperature data, and obtaining the voltage variation range of the voltage data under the influence of temperature;

[0089] In B1, the voltage change data corresponding to different temperature change data are recorded, and each voltage data corresponding to each temperature data is represented on a two-dimensional coordinate system. The specific processing process is as follows:

[0090] B101, respectively subtract the temperature data in two adjacent time periods, and use the difference as the temperature data change value;

[0091] B102, based on the temperature data in two adjacent time periods, subtract the two voltage data corresponding to the two temperature data, and use the difference as the voltage data change value;

[0092] B103, based on the temperature data change value and the voltage data change value, obtain the temperature change subunit voltage value, the specific formula is: temperature change subunit voltage value = voltage data change value / temperature data change value;

[0093] B104, based on the temperature change sub-unit voltage value, summing up the squares of several temperature change sub-unit voltage values ​​and taking the square root, taking the square root value as the minimum value within the voltage range, and taking the preset rated voltage value as the maximum value within the voltage range;

[0094] B2, recording the current data under different temperature data to obtain the current variation range of the current data under the influence of temperature;

[0095] In B2, the current data corresponding to different temperature change data are recorded, and each voltage data corresponding to each temperature data is represented on a two-dimensional coordinate system. The specific processing process is as follows:

[0096] B201, respectively subtract the temperature data in two adjacent time periods, and use the difference as the temperature data change value;

[0097] B202, based on the temperature data in two adjacent time periods, subtract the two current data corresponding to the two sets of temperature data, and use the difference as the current data change value;

[0098] B203, based on the temperature data change value and the current data change value, obtain the temperature change sub-unit current value, the specific formula is: temperature change sub-unit current value = current data change value / temperature data change value;

[0099] B204, based on the temperature change sub-unit current value, calculate the square sum of several temperature change sub-unit current values ​​and take the square root, take the square root value as the minimum value within the current range, and take the preset rated current value as the maximum value within the current range;

[0100] B3, compare the voltage representative value and the current representative value with the voltage change interval and the current change interval respectively. The specific comparison process is as follows:

[0101] If both the voltage representative value and the current representative value are within the voltage variation interval and the current variation interval, it is determined that no abnormality occurs;

[0102] If one of the voltage representative value and the current representative value does not exist in the voltage change interval and the current change interval, it is determined that an abnormal situation occurs;

[0103] Embodiment 2

[0104] Step 4: Based on the abnormal situation of the high-voltage cabinet, verify through the energy consumption of the high-voltage switch cabinet;

[0105] like Figure 2 As shown, in step 4, based on the temperature subunit voltage value and the temperature subunit current value obtained in step 3, the temperature voltage entropy value and the temperature current entropy value are obtained;

[0106] C1, summing up several temperature sub-unit voltage values ​​and temperature sub-unit current values ​​and taking the average values, and taking the average values ​​as the temperature voltage entropy value and the temperature current entropy value respectively;

[0107] C2, the energy consumption value W is obtained by the formula: W = (U × I-U1 × θ × I1 × ω) × μ, where U represents the rated voltage value, I represents the rated current value, U1 represents the voltage representative value, I1 represents the current representative value, θ and ω represent the temperature voltage entropy value and the temperature current entropy value respectively, and μ represents the preset proportionality coefficient;

[0108] C3, subtract the energy consumption value W from the preset specified energy consumption value, and compare the difference with the preset determination energy consumption threshold. The specific comparison process is as follows:

[0109] If the difference between the energy consumption value W and the preset specified energy consumption value is greater than or equal to the energy consumption determination threshold, then the determination that an abnormal situation has occurred is accurate;

[0110] If the difference between the energy consumption value W and the preset specified energy consumption value is less than the energy consumption determination threshold, then it is inaccurate to determine that an abnormal situation has occurred.

[0111] Embodiment 3

[0112] A remote monitoring system for a high-voltage switch cabinet according to an embodiment of the present invention comprises: a data acquisition and monitoring module, a data processing and analysis module, and a data detection module;

[0113] Data acquisition and monitoring module: used to collect parameter data of high-voltage switchgear in real time, including voltage sensor, current sensor and temperature sensor;

[0114] The voltage sensor is used to monitor the voltage change data in the circuit in real time;

[0115] The current sensor is used to monitor the current change data in the circuit in real time;

[0116] The temperature sensor is used to monitor the temperature change data in the circuit in real time;

[0117] Data processing and analysis module: used to process the collected parameters voltage, current and temperature to obtain voltage representative value, current representative value and temperature representative value;

[0118] Data detection module: used to verify abnormal situations of high-voltage cabinets through the energy consumption of high-voltage switch cabinets.

[0119] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A remote monitoring method for a high-voltage switch cabinet, characterized in that: The following steps are involved: Step 1: collect parameter data of the high-voltage switchgear in real time, the parameter data including voltage, current and temperature; Step 2: Processing the collected parameters voltage, current and temperature to obtain voltage representative value, current representative value and temperature representative value; Step 3, based on the processed voltage, current and temperature data, determine whether an abnormal situation occurs; Step 4: Based on the abnormal situation of the high-voltage cabinet, verify through the energy consumption of the high-voltage switch cabinet; In step 4, based on the temperature subunit voltage value and the temperature subunit current value obtained in step 3, a temperature voltage entropy value and a temperature current entropy value are obtained; C1, summing up several temperature sub-unit voltage values ​​and temperature sub-unit current values ​​and taking the average values, and taking the average values ​​as the temperature voltage entropy value and the temperature current entropy value respectively; C2, the energy consumption value W is obtained by the formula: W = (U × I-U1 × θ × I1 × ω) × μ, where U represents the rated voltage value, I represents the rated current value, U1 represents the voltage representative value, I1 represents the current representative value, θ and ω represent the temperature voltage entropy value and the temperature current entropy value respectively, and μ represents the preset proportionality coefficient; C3, subtract the energy consumption value W from the preset specified energy consumption value, and compare the difference with the preset determination energy consumption threshold. The specific comparison process is as follows: If the difference between the energy consumption value W and the preset specified energy consumption value is greater than or equal to the energy consumption determination threshold, then the determination that an abnormal situation has occurred is accurate; If the difference between the energy consumption value W and the preset specified energy consumption value is less than the energy consumption determination threshold, it is inaccurate to determine that an abnormal situation has occurred; In step 2, the process is as follows: A1, calibrating based on the processed parameter voltage data to obtain a representative value of the parameter voltage data; A2, calibrating based on the processed parameter temperature data to obtain a representative value of the parameter temperature data; A3, calibrating based on the processed parameter current data to obtain a representative value of the parameter current data; In A1, the missing values ​​and duplicate values ​​in the processed parameter voltage data are cleaned and deleted to obtain the calibrated parameter voltage data; A101, obtaining a standard deviation value based on the calibrated parameter voltage data, and using the standard deviation value as a representative value of the parameter voltage data change; A102, summing and averaging the parameter voltage data after calibration in the time sub-unit, and taking the average value as a representative value of the parameter voltage data after calibration in the time sub-unit; A103, summing the representative values ​​of the parameter voltage data after calibration in each time subunit, multiplying the summed value by the representative value of the parameter voltage data change, and using the obtained product value as the representative value of the parameter voltage data after calibration; In A2, the processed parameter temperature data is connected by punctuation on a two-dimensional coordinate system to obtain a parameter temperature data variation curve graph; A201, based on the parameter temperature data change curve graph, divide the curve graph into a number of equal parts of the line graph; A202, obtaining an absolute value of a slope based on a plurality of equally spaced line graphs, and using the absolute value of the slope as a representative value of a temperature change of each equally spaced line graph; A203, summing up the representative values ​​of the temperature changes of each equal portion of the line graph to obtain an average value, and using the average value as the representative value of the parameter temperature data; In A3, based on the representative value of the temperature data, the representative value of the resistance is obtained, and based on the representative value of the resistance, the processed parameter current data and the representative value of the parameter voltage data, the representative value of the parameter circuit data is obtained; A301, the resistance representative value R is obtained by the formula: R = R1 × TL × α, TL represents the resistance representative value, and α represents the preset proportionality coefficient; A302, based on the processed parameter circuit data, summing and obtaining the square difference, subtracting the processed parameter current data from the square difference, summing the difference and obtaining the absolute value; A303, according to Ohm's law formula: The parameter current data representative value I is obtained, U is represented as the parameter voltage data representative value, and β is represented as the absolute value of the processed parameter current data and the square difference.

2. A remote monitoring method for a high-voltage switch cabinet according to claim 1, characterized in that: In step three, the voltage, current and temperature data are analyzed to determine the voltage representative value and the current representative value, and the corresponding interval range is compared respectively, and the corresponding interval range is obtained. The specific process is as follows: B1, recording the voltage data under different temperature data, and obtaining the voltage variation range of the voltage data under the influence of temperature; B2, recording the current data under different temperature data to obtain the current variation range of the current data under the influence of temperature; B3, compare the voltage representative value and the current representative value with the voltage change interval and the current change interval respectively to determine whether the abnormal situation is accurate.

3. A remote monitoring method for a high-voltage switch cabinet according to claim 2, characterized in that: In B1, the voltage change data corresponding to different temperature change data are recorded, and each voltage data corresponding to each temperature data is represented on a two-dimensional coordinate system. The specific processing process is as follows: B101, respectively subtract the temperature data in two adjacent time periods, and use the difference as the temperature data change value; B102, based on the temperature data in two adjacent time periods, subtract the two voltage data corresponding to the two temperature data, and use the difference as the voltage data change value; B103, based on the temperature data change value and the voltage data change value, obtain the temperature change subunit voltage value, the specific formula is: temperature change subunit voltage value = voltage data change value / temperature data change value; B104, based on the temperature change sub-unit voltage value, sum up several temperature change sub-unit voltage values, take the square root of the sum, and use the square root value as the minimum value within the voltage range, and use the preset rated voltage value as the maximum value within the voltage range.

4. A remote monitoring method for a high-voltage switch cabinet according to claim 2, characterized in that: In B2, the current data corresponding to different temperature change data are recorded, and each voltage data corresponding to each temperature data is represented on a two-dimensional coordinate system. The specific processing process is as follows: B201, respectively subtract the temperature data in two adjacent time periods, and use the difference as the temperature data change value; B202, based on the temperature data in two adjacent time periods, subtract the two current data corresponding to the two sets of temperature data, and use the difference as the current data change value; B203, based on the temperature data change value and the current data change value, obtain the temperature change sub-unit current value, the specific formula is: temperature change sub-unit current value = current data change value / temperature data change value; B204, based on the temperature change sub-unit current value, calculate the square sum of several temperature change sub-unit current values ​​and take the square root, take the square root value as the minimum value within the current range, and take the preset rated current value as the maximum value within the current range.

5. A remote monitoring method for a high-voltage switch cabinet according to claim 1, characterized in that: In A3, the specific comparison process is as follows: If both the voltage representative value and the current representative value are within the voltage variation interval and the current variation interval, it is determined that no abnormality occurs; If one of the voltage representative value and the current representative value does not exist in the voltage variation interval and the current variation interval, it is determined that an abnormal situation occurs.

6. A remote monitoring system for a high-voltage switch cabinet, the system implementing the method according to any one of claims 1 to 5, characterized in that: include: Data collection and monitoring module, data processing and analysis module and data detection module; Data acquisition and monitoring module: used to collect parameter data of high-voltage switchgear in real time, including voltage sensor, current sensor and temperature sensor; The voltage sensor is used to monitor the voltage change data in the circuit in real time; The current sensor is used to monitor the current change data in the circuit in real time; The temperature sensor is used to monitor the temperature change data in the circuit in real time; Data processing and analysis module: used to process the collected parameters voltage, current and temperature to obtain voltage representative value, current representative value and temperature representative value; Data detection module: used to verify abnormal situations of high-voltage cabinets through the energy consumption of high-voltage switch cabinets.

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