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CN118539597B - Remote monitoring system and method for high-voltage switch cabinet - Google Patents

Remote monitoring system and method for high-voltage switch cabinet Download PDF

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Publication number
CN118539597B
CN118539597B CN202410388270.8A CN202410388270A CN118539597B CN 118539597 B CN118539597 B CN 118539597B CN 202410388270 A CN202410388270 A CN 202410388270A CN 118539597 B CN118539597 B CN 118539597B
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voltage
value
data
temperature
current
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CN118539597A (en
Inventor
廖宁波
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Huizhou Mingye Electric Equipment Co ltd
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Huizhou Mingye Electric Equipment Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
    • H02B1/00—Frameworks, boards, panels, desks, casings; Details of substations or switching arrangements
    • H02B1/26—Casings; Parts thereof or accessories therefor
    • H02B1/30—Cabinet-type casings; Parts thereof or accessories therefor
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Current Or Voltage (AREA)

Abstract

The invention belongs to the technical field of electrical engineering monitoring, and provides a remote monitoring system and a method for a high-voltage switch cabinet, which are characterized in that parameter data are acquired in real time by the high-voltage switch cabinet, the parameter data comprise voltage, current and temperature, the acquired parameter voltage, current and temperature are processed to obtain a voltage representative value, a current representative value and a temperature representative value, so that three data based on the voltage representative value, the current representative value and the temperature representative value can be timely found and maintained in advance, the potential faults of the high-voltage switch cabinet can be predicted, data support is provided for equipment maintenance, and according to the condition that the abnormality occurs based on the high-voltage switch cabinet, the verification is performed through the energy consumption of the high-voltage switch cabinet, so that the situation that two data in three data are higher and lower and are in the corresponding interval range, but the energy consumption is not in the set interval range is avoided, and the accuracy is improved.

Description

Remote monitoring system and method for high-voltage switch cabinet
Technical Field
The invention belongs to the technical field of electrical engineering monitoring, and particularly relates to a remote monitoring system and method for a high-voltage switch cabinet.
Background
The traditional field inspection mode can not meet the requirements of a modern power system, a complete monitoring network can be formed by a remote monitoring system, faults can be found in time and maintained in advance based on three data of voltage, current and temperature, potential faults of a high-voltage switch cabinet can be predicted, and data support is provided for maintenance of equipment.
One Chinese patent application with the publication number of CN113363849A discloses a remote monitoring device of a high-voltage switch cabinet and a high-voltage switch, and the remote monitoring device comprises a high-voltage switch cabinet body and a temperature measuring system arranged on the high-voltage switch cabinet body, wherein a fixing frame, a smoke sensor and a humidity sensor are respectively arranged in the high-voltage switch cabinet body, a high-voltage isolating switch is arranged at the upper end of the fixing frame, a fan, a heating box and an air outlet end of a main electric push rod heating box are respectively arranged on the outer wall of the high-voltage switch cabinet body and are connected with an exhaust pipe, an air outlet end of the air outlet pipe is communicated with the exhaust pipe, the air outlet end of the air outlet pipe is arranged on one side of the high-voltage isolating switch, a frame groove is arranged in front of the high-voltage switch cabinet body, a fireproof cover is arranged in the frame groove in an interpolation mode, and a telescopic end of the main electric push rod is arranged on the fireproof cover.
In the prior art, only if the wireless temperature sensor in the temperature measuring system detects abnormality, cooling air is discharged from the bronchus through the fan, ventilation and heat dissipation treatment are carried out on the contact positions in the high-voltage switch cabinet body, and effective emergency treatment can be carried out on the heating abnormality in the high-voltage switch cabinet body, but whether the wireless temperature sensor in the temperature measuring system detects abnormality accurately is not considered, and the influence of temperature on voltage and current is not considered.
Therefore, the invention provides a remote monitoring system and a method for a high-voltage switch cabinet.
Disclosure of Invention
In order to overcome the deficiencies of the prior art, at least one technical problem presented in the background art is solved.
The invention solves the technical problems by adopting the technical scheme that the remote monitoring system and the method for the high-voltage switch cabinet comprise the following steps that firstly, parameter data including voltage, current and temperature are collected for the high-voltage switch cabinet in real time;
Step two, processing based on the acquired parameter voltage, current and temperature to obtain a voltage representative value, a current representative value and a temperature representative value;
step three, judging whether an abnormal condition occurs or not based on the voltage, current and temperature data obtained through processing;
step four, verifying through the energy consumption of the high-voltage switch cabinet based on the abnormal condition of the high-voltage switch cabinet;
In the fourth step, a temperature voltage entropy value and a temperature current entropy value are obtained based on the temperature subunit voltage value and the temperature subunit current value obtained in the third step;
c1, summing a plurality of temperature subunit voltage values and temperature subunit current values respectively to obtain average values, and taking the average values as a temperature voltage entropy value and a temperature current entropy value respectively;
C2, obtaining an energy consumption value W by a formula of w= (u×i-U1×θ×i1×ω) ×μ, wherein U is a rated voltage value, I is a rated current value, U1 is a voltage representative value, I1 is a current representative value, θ and ω are respectively a temperature voltage entropy value and a temperature current entropy value, and μ is a preset proportionality coefficient;
and C3, performing difference between the energy consumption value W and a preset specified energy consumption value, and comparing the difference value with a preset judging energy consumption threshold value, wherein the specific comparison process is as follows:
if the difference value between the energy consumption value W and the preset specified energy consumption value is larger than or equal to the judging energy consumption threshold value, judging that abnormal conditions are accurate;
If the difference value between the energy consumption value W and the preset specified energy consumption value is smaller than the judging energy consumption threshold value, judging that abnormal conditions are inaccurate.
In the second step, noise is eliminated on the acquired parameter voltage, current and temperature data to obtain processed parameter voltage, current and temperature data, and a voltage representative value, a current representative value and a temperature representative value are respectively obtained based on the processed parameter voltage, current and temperature data, wherein the processing process is as follows:
a1, calibrating based on the processed parameter voltage data to obtain a parameter voltage data representative value;
a2, calibrating based on the processed parameter temperature data to obtain a parameter temperature data representative value;
A3, calibrating based on the processed parameter current data to obtain a parameter current data representative value.
In A1, the missing value and the repeated value in the processed parameter voltage data are cleaned and deleted to obtain calibrated parameter voltage data;
a101, calculating a standard deviation value based on the calibrated parameter voltage data, and taking the standard deviation value as a parameter voltage data change representative value;
a102, summing the calibrated parameter voltage data in the time subunit, taking an average value, and taking the average value as a representative value of the calibrated parameter voltage data in the time subunit;
And A103, summing the calibrated parameter voltage data representative values in each time subunit, multiplying the summed values by the parameter voltage data change representative value, and taking the obtained multiplied values as the calibrated parameter voltage data representative values.
In A2, the processed parameter temperature data is marked on a two-dimensional coordinate system to obtain a parameter temperature data change curve graph;
A201, dividing the curve graph into a plurality of equal parts of line graphs based on the parameter temperature data change curve graph;
A202, calculating absolute values of slopes based on the line diagrams of the equal parts, and taking the absolute values of the slopes as temperature change representative values of the line diagrams of the equal parts;
And A203, summing the temperature change representative values of each equal-part line graph, taking the average value as a parameter temperature data representative value.
In A3, obtaining a resistance representative value based on the temperature data representative value, and obtaining a parameter circuit data representative value according to the resistance representative value, the processed parameter current data and the processed parameter voltage data representative value;
A301, obtaining a resistance representative value R through a formula of r=r1×tl×α, wherein TL is represented as a resistance representative value, and α is represented as a preset proportionality coefficient;
a302, summing to obtain a square difference value based on the processed parameter circuit data, performing difference between the processed parameter current data and the square difference value, and summing the difference value to obtain an absolute value;
A303, according to the ohm's law formula: The obtained parameter current data representative value I, U is expressed as a parameter voltage data representative value, and beta is expressed as an absolute value of the processed parameter current data and a square difference value.
In the third step, three data of voltage, current and temperature are analyzed, and the voltage representative value and the current representative value are judged to be compared with corresponding interval ranges respectively, and the corresponding interval ranges are acquired specifically, wherein the specific process is as follows:
B1, recording voltage data under different temperature data to obtain a voltage change section of the voltage data under the influence of temperature;
b2, recording current data under different temperature data to obtain a current change section of the current data under the influence of temperature;
b3, comparing the voltage representative value and the current representative value with the voltage change interval and the current change interval respectively, wherein the specific comparison process is as follows:
If the voltage representative value and the current representative value exist in the voltage change interval and the current change interval, judging that no abnormal condition exists;
If one of the two data of the voltage representative value and the current representative value does not exist in the voltage change interval and the current change interval, the abnormal condition is judged to occur.
In B1, recording voltage change data corresponding to different temperature change data, and representing each voltage data corresponding to each temperature data on a two-dimensional coordinate system, wherein the specific processing procedure is as follows:
b101, respectively differencing the temperature data in two adjacent time periods, and taking the difference value as a temperature data change value;
B102, based on the temperature data in two adjacent time periods, performing difference on two voltage data corresponding to the two temperature data, and taking the difference value as a voltage data change value;
b103, obtaining a temperature change subunit voltage value based on the temperature data change value and the voltage data change value, wherein the specific formula is that the temperature change subunit voltage value = voltage data change value/temperature data change value;
And B104, summing a plurality of temperature change subunit voltage values based on the temperature change subunit voltage values, squaring and squaring, taking the squared value as the minimum value in the voltage interval range, and taking the preset rated voltage value as the maximum value in the voltage interval range.
In B2, 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, wherein the specific processing procedure is as follows:
B201, respectively differencing the temperature data in two adjacent time periods, and taking the difference value as a temperature data change value;
B202, based on the temperature data in two adjacent time periods, performing difference on two current data corresponding to the two groups of temperature data, and taking the difference value as a current data change value;
b203, obtaining a temperature change subunit current value based on the temperature data change value and the current data change value, wherein the specific formula is that the temperature change subunit current value = current data change value/temperature data change value;
And B204, squaring and squaring a plurality of temperature change subunit current values based on the temperature change subunit current values, taking the squared value as the minimum value in the current interval range, and taking the preset rated current value as the maximum value in the current interval range.
As a further explanation of the invention, in A3, the specific comparison procedure is as follows:
If the voltage representative value and the current representative value exist in the voltage change interval and the current change interval, judging that no abnormal condition exists;
If one of the two data of the voltage representative value and the current representative value does not exist in the voltage change interval and the current change interval, the abnormal condition is judged to occur.
The invention further provides a data acquisition monitoring module, a data processing analysis module and a data detection module;
The data acquisition monitoring module is used for acquiring parameter data of the high-voltage switch cabinet in real time and also comprises a voltage sensor, a current sensor and a temperature sensor;
The voltage sensor is used for monitoring voltage change data in the circuit in real time;
the current sensor is used for monitoring current change data in the circuit in real time;
the temperature sensor is used for monitoring temperature change data in the circuit in real time;
The data processing analysis module is used for processing the acquired parameter voltage, current and temperature to obtain a voltage representative value, a current representative value and a temperature representative value;
the data detection module is used for verifying the abnormal condition of the high-voltage switch cabinet through the energy consumption of the high-voltage switch cabinet.
The beneficial effects of the invention are as follows:
1. According to the remote monitoring system and method for the high-voltage switch cabinet, the parameter data including the voltage, the current and the temperature are collected in real time, and the parameter data are processed based on the collected parameter voltage, current and temperature to obtain the voltage representative value, the current representative value and the temperature representative value, so that three data based on the voltage representative value, the current representative value and the temperature representative value can be timely found out and maintained in advance, potential faults of the high-voltage switch cabinet can be predicted, and data support is provided for equipment maintenance.
2. According to the remote monitoring system and method for the high-voltage switch cabinet, the voltage data under different temperature data are recorded to obtain the voltage change interval of the voltage data under the influence of temperature, the current data under the different temperature data are recorded to obtain the current change interval of the current data under the influence of temperature, the voltage representative value and the current representative value are respectively compared with the voltage change interval and the current change interval to judge whether abnormal conditions are accurate or not, the situation that two data are higher and lower in the three data are in the corresponding interval range but the energy consumption is not in the set interval range is avoided, and the accuracy is improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a flow chart of a first embodiment of the present invention;
fig. 2 is a flow chart of a second embodiment of the present invention.
Detailed Description
The invention is further described in connection with the following detailed description in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
Example 1
As shown in fig. 1, the remote monitoring method of the high-voltage switch cabinet according to the embodiment of the invention comprises the following steps:
step one, collecting parameter data in real time for a high-voltage switch cabinet, wherein the parameter data comprise voltage, current and temperature;
Step two, processing based on the acquired parameter voltage, current and temperature to obtain a voltage representative value, a current representative value and a temperature representative value;
In the second step, noise is eliminated on the acquired parameter voltage, current and temperature data to obtain processed parameter voltage, current and temperature data, and a voltage representative value, a current representative value and a temperature representative value are respectively obtained based on the processed parameter voltage, current and temperature data, wherein the processing process is as follows:
a1, calibrating based on the processed parameter voltage data to obtain a parameter voltage data representative value;
In A1, cleaning and deleting missing values and repeated values in the processed parameter voltage data to obtain corrected parameter voltage data;
a101, calculating a standard deviation value based on the calibrated parameter voltage data, and taking the standard deviation value as a parameter voltage data change representative value;
a102, summing the calibrated parameter voltage data in the time subunit, taking an average value, and taking the average value as a representative value of the calibrated parameter voltage data in the time subunit;
A103, summing the calibrated parameter voltage data representative values in each time subunit, multiplying the summed values by the parameter voltage data change representative values, and taking the obtained multiplied values as the calibrated parameter voltage data representative values;
a2, calibrating based on the processed parameter temperature data to obtain a parameter temperature data representative value;
in A2, performing punctuation connection on the processed parameter temperature data on a two-dimensional coordinate system to obtain a parameter temperature data change curve graph;
A201, dividing the curve graph into a plurality of equal parts of line graphs based on the parameter temperature data change curve graph;
A202, calculating absolute values of slopes based on the line diagrams of the equal parts, and taking the absolute values of the slopes as temperature change representative values of the line diagrams of the equal parts;
a203, summing the temperature change representative values of each equal-part line graph, taking an average value as a parameter temperature data representative value;
a3, calibrating based on the processed parameter current data to obtain a parameter current data representative value;
In A3, obtaining a resistance representative value based on the temperature data representative value, and obtaining a parameter circuit data representative value according to the resistance representative value, the processed parameter current data and the processed parameter voltage data representative value;
A301, obtaining a resistance representative value R through a formula of r=r1×tl×α, wherein TL is represented as a resistance representative value, and α is represented as a preset proportionality coefficient;
a302, summing to obtain a square difference value based on the processed parameter circuit data, performing difference between the processed parameter current data and the square difference value, and summing the difference value to obtain an absolute value;
A303, according to the ohm's law formula: Obtaining a parameter current data representative value I, wherein U is represented as a parameter voltage data representative value, and beta is represented as an absolute value of a square difference value and the processed parameter current data;
step three, judging whether an abnormal condition occurs or not based on the voltage, current and temperature data obtained through processing;
In the third step, three data including voltage, current and temperature are analyzed, and the voltage representative value and the current representative value are judged to be compared with corresponding interval ranges respectively, and the corresponding interval ranges are acquired specifically, wherein the specific process is as follows:
B1, recording voltage data under different temperature data to obtain a voltage change section of the voltage data under the influence of temperature;
In B1, recording voltage change data corresponding to different temperature change data, and representing each voltage data corresponding to each temperature data on a two-dimensional coordinate system, wherein the specific processing procedure is as follows:
b101, respectively differencing the temperature data in two adjacent time periods, and taking the difference value as a temperature data change value;
B102, based on the temperature data in two adjacent time periods, performing difference on two voltage data corresponding to the two temperature data, and taking the difference value as a voltage data change value;
b103, obtaining a temperature change subunit voltage value based on the temperature data change value and the voltage data change value, wherein the specific formula is that the temperature change subunit voltage value = voltage data change value/temperature data change value;
step B104, summing a plurality of temperature change subunit voltage values based on the temperature change subunit voltage values, squaring and squaring, taking the squared value as the minimum value in the voltage interval range, and taking the preset rated voltage value as the maximum value in the voltage interval range;
b2, recording current data under different temperature data to obtain a current change section of the current data under the influence of temperature;
In the step B2, 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, and the specific processing procedure is as follows:
B201, respectively differencing the temperature data in two adjacent time periods, and taking the difference value as a temperature data change value;
B202, based on the temperature data in two adjacent time periods, performing difference on two current data corresponding to the two groups of temperature data, and taking the difference value as a current data change value;
b203, obtaining a temperature change subunit current value based on the temperature data change value and the current data change value, wherein the specific formula is that the temperature change subunit current value = current data change value/temperature data change value;
B204, squaring and squaring a plurality of temperature change subunit current values based on the temperature change subunit current values, taking the squared value as the minimum value in the current interval range, and taking the preset rated current value as the maximum value in the current interval range;
b3, comparing the voltage representative value and the current representative value with the voltage change interval and the current change interval respectively, wherein the specific comparison process is as follows:
If the voltage representative value and the current representative value exist in the voltage change interval and the current change interval, judging that no abnormal condition exists;
If one of the two data of the voltage representative value and the current representative value does not exist in the voltage change interval and the current change interval, judging that an abnormal condition exists;
Example two
Step four, verifying through the energy consumption of the high-voltage switch cabinet based on the abnormal condition of the high-voltage switch cabinet;
In the fourth step, as shown in fig. 2, a temperature voltage entropy value and a temperature current entropy value are obtained based on the temperature subunit voltage value and the temperature subunit current value obtained in the third step;
c1, summing a plurality of temperature subunit voltage values and temperature subunit current values respectively to obtain average values, and taking the average values as a temperature voltage entropy value and a temperature current entropy value respectively;
C2, obtaining an energy consumption value W by a formula of w= (u×i-U1×θ×i1×ω) ×μ, wherein U is a rated voltage value, I is a rated current value, U1 is a voltage representative value, I1 is a current representative value, θ and ω are respectively a temperature voltage entropy value and a temperature current entropy value, and μ is a preset proportionality coefficient;
and C3, performing difference between the energy consumption value W and a preset specified energy consumption value, and comparing the difference value with a preset judging energy consumption threshold value, wherein the specific comparison process is as follows:
if the difference value between the energy consumption value W and the preset specified energy consumption value is larger than or equal to the judging energy consumption threshold value, judging that abnormal conditions are accurate;
If the difference value between the energy consumption value W and the preset specified energy consumption value is smaller than the judging energy consumption threshold value, judging that abnormal conditions are inaccurate.
Example III
The remote monitoring system of the high-voltage switch cabinet comprises a data acquisition monitoring module, a data processing analysis module and a data detection module;
The data acquisition monitoring module is used for acquiring parameter data of the high-voltage switch cabinet in real time and also comprises a voltage sensor, a current sensor and a temperature sensor;
The voltage sensor is used for monitoring voltage change data in the circuit in real time;
the current sensor is used for monitoring current change data in the circuit in real time;
the temperature sensor is used for monitoring temperature change data in the circuit in real time;
The data processing analysis module is used for processing the acquired parameter voltage, current and temperature to obtain a voltage representative value, a current representative value and a temperature representative value;
the data detection module is used for verifying the abnormal condition of the high-voltage switch cabinet through the energy consumption of the high-voltage switch cabinet.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (6)

1.一种高压开关柜的远程监控方法，其特征在于：包括以下步骤：1. A remote monitoring method for a high voltage switch cabinet, characterized in that it comprises the following steps: 步骤一，对高压开关柜进行实时采集参数数据，参数数据包括电压、电流和温度；Step 1: collect parameter data of the high-voltage switchgear in real time, the parameter data including voltage, current and temperature; 步骤二，基于采集得到的参数电压、电流和温度进行处理，得到电压代表值、电流代表值和温度代表值；Step 2: Processing the collected parameters voltage, current and temperature to obtain voltage representative value, current representative value and temperature representative value; 步骤三，基于处理得到的电压、电流和温度数据，判定是否出现异常情况；Step 3, based on the processed voltage, current and temperature data, determine whether an abnormal situation occurs; 步骤四，基于高压柜出现异常的情况，通过高压开关柜的能耗进行验证；Step 4: Based on the abnormal situation of the high-voltage cabinet, verify through the energy consumption of the high-voltage switch cabinet; 在步骤四中，基于步骤三中得到的温度子单元电压值和温度子单元电流值，得到温度电压熵值和温度电流熵值；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，将若干个温度子单元电压值和温度子单元电流值分别进行求和取平均值，将平均值分别作为温度电压熵值和温度电流熵值；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，通过公式：W＝(U×I-U1×θ×I1×ω)×μ得到能耗值W，U表示为额定电压值，I表示为额定电流值，U1表示为电压代表值，I1表示为电流代表值，θ、ω分别表示为温度电压熵值和温度电流熵值，μ表示为预设的比例系数；C2, the energy consumption value W is obtained by the formula: W = (U × I-U1 × θ × I1 × ω) × μ, 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，将能耗值W与预设的规定能耗值进行作差，将差值与预设的判定能耗阈值进行比较，具体比较过程如下：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: 若能耗值W与预设的规定能耗值的差值大于或者等于判定能耗阈值，则判定出现异常情况准确；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; 若能耗值W与预设的规定能耗值的差值小于判定能耗阈值，则判定出现异常情况不准确；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 the determination that an abnormal situation has occurred is inaccurate; 在步骤二中，处理过程如下：In step 2, the process is as follows: A1，基于处理后的参数电压数据进行校准，得到参数电压数据代表值；A1, calibrating based on the processed parameter voltage data to obtain a representative value of the parameter voltage data; A2，基于处理后的参数温度数据进行校准，得到参数温度数据代表值；A2, calibrating based on the processed parameter temperature data to obtain a representative value of the parameter temperature data; A3，基于处理后的参数电流数据进行校准，得到参数电流数据代表值；A3, calibrating based on the processed parameter current data to obtain a representative value of the parameter current data; 在A1中，通过对处理后的参数电压数据中的缺失值和重复值进行清洗删除，得到校准后的参数电压数据；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，基于校准后的参数电压数据求取标准差值，将标准差值作为参数电压数据变化代表值；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，将时间子单元内校准后的参数电压数据进行求和取平均值，将平均值作为时间子单元内校准后的参数电压数据代表值；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，将每个时间子单元内校准后的参数电压数据代表值进行求和，将求和后的数值与参数电压数据变化代表值进行乘积，得到的乘积数值作为校准后参数电压数据代表值；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; 在A2中，将处理后的参数温度数据在二维坐标系上进行标点连线，得到参数温度数据变化曲线图；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，基于参数温度数据变化曲线图，将曲线图划分为若个等份的折线图；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，基于多个等份的折线图进行求取斜率的绝对值，将斜率的绝对值作为每个等份折线图的温度变化代表值；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，将每个等份折线图的温度变化代表值进行求和取平均值，将平均值作为参数温度数据代表值；A203, summing up the temperature change representative values 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; 在A3中，基于温度数据代表值，得到电阻代表值，根据电阻代表值、处理后的参数电流数据与参数电压数据代表值，得到参数电路数据代表值；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; A301，通过公式：R＝R1×TL×α得到电阻代表值R，TL表示为电阻代表值，α表示为预设的比例系数；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，基于处理后的参数电路数据进行求和取平方差值，将处理后的参数电流数据与平方差值作差，将差值求和取绝对值；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，根据欧姆定律公式：得到参数电流数据代表值I，U表示为参数电压数据代表值，β表示为处理后的参数电流数据与平方差值的绝对值。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.根据权利要求1所述的一种高压开关柜的远程监控方法，其特征在于：在步骤三中，从电压、电流和温度三项数据进行分析，判定电压代表值和电流代表值分别对相对应区间范围进行比较，具体对相对应的区间范围进行获取，具体过程如下：2. A remote monitoring method for a high-voltage switch cabinet according to claim 1, characterized in that: in step 3, the voltage, current and temperature data are analyzed to determine the voltage representative value and the current representative value, respectively, and the corresponding interval range is compared, and the corresponding interval range is obtained, and the specific process is as follows: B1，将不同温度数据下的电压数据进行记录，得到电压数据在温度影响下的电压变化区间；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，将不同温度数据下的电流数据进行记录，得到电流数据在温度影响下的电流变化区间；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，将电压代表值和电流代表值分别与电压变化区间与电流变化区间进行比较，判定出现异常情况是否准确。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.根据权利要求2所述的一种高压开关柜的远程监控方法，其特征在于：在B1中，将不同温度变化数据相对应的电压变化数据进行记录，并将每个温度数据对应的每个电压数据在二维坐标系上表示，具体处理过程如下：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 in a two-dimensional coordinate system, and the specific processing process is as follows: B101，分别将两个相邻时间段内的温度数据进行作差，将差值作为温度数据变化值；B101, respectively subtract the temperature data in two adjacent time periods, and use the difference as the temperature data change value; B102，基于两个相邻时间段内的温度数据，将两个温度数据所对应的两个电压数据进行作差，将差值作为电压数据变化值；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，基于温度数据变化值和电压数据变化值，得到温度变化子单元电压值，具体公式：温度变化子单元电压值＝电压数据变化值/温度数据变化值；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，基于温度变化子单元电压值，将若干个温度变化子单元电压值进行求和取平方和并开方，将开方后的数值作为电压区间范围内的最小值，将预设的额定电压值作为电压区间范围内的最大值。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.根据权利要求2所述的一种高压开关柜的远程监控方法，其特征在于：在B2中，将不同温度变化数据相对应的电流数据进行记录，并将每个温度数据对应的每个电压数据在二维坐标系上表示，具体处理过程如下：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 in a two-dimensional coordinate system, and the specific processing process is as follows: B201，分别将两个相邻时间段内的温度数据进行作差，将差值作为温度数据变化值；B201, respectively, subtract the temperature data in two adjacent time periods, and use the difference as the temperature data change value; B202，基于两个相邻时间段内的温度数据，将两组温度数据所对应的两个电流数据进行作差，将差值作为电流数据变化值；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，基于温度数据变化值和电流数据变化值，得到温度变化子单元电流值，具体公式：温度变化子单元电流值＝电流数据变化值/温度数据变化值；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，基于温度变化子单元电流值，将若干个温度变化子单元电流值进行求平方和并开方，将开方后的数值作为电流区间范围内的最小值，将预设的额定电流值作为电流区间范围内的最大值。B204, based on the temperature change sub-unit current value, calculate the square sum and square root of several temperature change sub-unit current values, 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.根据权利要求1所述的一种高压开关柜的远程监控方法，其特征在于：在A3中，具体比较过程如下：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: 若电压代表值和电流代表值两项数据都存在于电压变化区间与电流变化区间内，则判定没有出现异常情况；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; 若电压代表值和电流代表值两项数据中有一项数据不存在于电压变化区间与电流变化区间内，则判定出现异常情况。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. 6.一种高压开关柜的远程监控系统，该系统实现如权利要求1-5任一项所述的方法，其特征在于：包括：数据采集监测模块、数据处理分析模块和数据检测模块；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 it comprises: a data acquisition and monitoring module, a data processing and analysis module, and a data detection module; 数据采集监测模块：用于对高压开关柜进行实时采集参数数据，还包括电压传感器、电流传感器和温度传感器；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; 电压传感器用于实时监测电路中的电压变化数据；The voltage sensor is used to monitor the voltage change data in the circuit in real time; 电流传感器用于实时监测电路中的电流变化数据；The current sensor is used to monitor the current change data in the circuit in real time; 温度传感器用于实时监测电路中的温度变化数据；The temperature sensor is used to monitor the temperature change data in the circuit in real time; 数据处理分析模块：用于将采集得到的参数电压、电流和温度进行处理，得到电压代表值、电流代表值和温度代表值；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; 数据检测模块：用于对高压柜出现异常的情况，通过高压开关柜的能耗进行验证。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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