Transmission and substation safety early warning system and method based on Internet of Things

Abstract

The invention discloses a power transmission and substation safety early warning system and method based on the Internet of Things. The system comprises an equipment numbering unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit, an intelligent regulation and control unit and a remote monitoring unit. And the equipment numbering unit is used for numbering the electrical equipment in the power transmission and transformation station from large to small according to the volume of the electrical equipment in the power transmission and transformation station. And the data processing unit analyzes and processes the collected information data to obtain an analysis result and perform early warning on abnormal conditions, so that potential safety hazards can be timely found and accurately early warned. Meanwhile, abnormal conditions are processed in time through the intelligent regulation and control unit, the operation efficiency and safety of the power transmission and transformation station are greatly improved, safety accidents caused by equipment faults are effectively avoided, and continuous, stable and efficient operation of a power grid is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of safety early warning for power transmission and substations, and more specifically discloses a safety early warning system and method for power transmission and substations based on the Internet of Things. Background Art

[0002] With the rapid development and increasing complexity of the power system, the safe and stable operation of the transmission and substation, as an indispensable key component of the power system, plays a vital role in the reliability, continuity and efficiency of the entire power grid. After a long period of high-intensity operation, various electrical equipment deployed inside the transmission and substation will inevitably be affected by a variety of external and internal factors, including but not limited to overload operation, short-circuit shock, natural aging of equipment, erosion by environmental factors and improper maintenance. These factors may gradually accumulate and cause equipment performance degradation, or even sudden failures. In severe cases, they may also cause major safety accidents such as fires and explosions, posing a serious threat to personnel safety, power grid stability and the normal operation of the social economy. Therefore, it has become a vital task to monitor the status of electrical equipment in the transmission and substation, and to timely discover and accurately warn of potential safety hazards. This not only helps to take measures in advance to nip faults in the bud, but also effectively avoids the occurrence of safety accidents and ensures the continuous, stable and efficient operation of the power grid.

[0003] However, traditional safety monitoring methods for power transmission and substations mainly rely on manual inspections. Although this method can work to a certain extent, due to the limitation of inspection cycles, manual inspections are usually carried out at fixed time periods, such as once a day, week or month. This periodic inspection method means that there may be a long blank period between two inspections. During this blank period, if the equipment fails or is in an abnormal state, it may not be discovered and handled in time, which increases the risk of fault expansion and the possibility of power outages, making it difficult to achieve real-time tracking and feedback of equipment status. Summary of the invention

[0004] Purpose of the invention: The purpose of the present invention is to solve the problem that the traditional means of safety monitoring of power transmission and substations mainly rely on manual inspections. Although this method can work to a certain extent, due to the limitation of the inspection cycle, manual inspections are usually carried out at a fixed time period, such as once a day, a week or a month. This periodic inspection method means that there may be a long blank period between two inspections. During this blank period, if the equipment fails or an abnormal state occurs, it may not be discovered and handled in time, thereby increasing the risk of fault expansion and the possibility of power outages, making it difficult to achieve real-time tracking and feedback of the status of the power transmission and substation.

[0005] To solve the above technical problems, according to one aspect of the present invention, more specifically, a safety early warning system and method for a transmission and substation based on the Internet of Things, comprising: an equipment numbering unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit, an intelligent control unit and a remote monitoring unit; wherein:

[0006] Equipment numbering unit: used to number the electrical equipment in the substation from large to small according to their volumes;

[0007] Data acquisition unit: used for real-time acquisition of information data generated during power transmission and transformation;

[0008] Data transmission unit: used for real-time transmission of information data collected by the data collection unit;

[0009] Data storage unit: used to store the information data transmitted in real time by the data transmission unit;

[0010] Data processing unit: used to process and analyze the information data stored in the data storage unit, obtain the processing and analysis results, and then forward the obtained processing and analysis results to the remote monitoring unit, and at the same time issue control instructions to the intelligent control unit according to the processing and analysis results;

[0011] Intelligent control unit: used to receive the control signal from the data processing unit, and control the temperature and humidity of the environment and the voltage of the electrical equipment during the power transmission and transformation process according to the control signal;

[0012] Remote monitoring unit: used to display the information data stored in the data storage unit and the analysis results of the data processing unit in real time on the background terminal. At the same time, when the results obtained by the data processing unit analysis are abnormal, an alarm is issued to the background terminal.

[0013] Furthermore, the data acquisition unit includes: a temperature and humidity acquisition module, a dimension acquisition module, a current acquisition module, a voltage acquisition module, a frequency acquisition module and a power acquisition module;

[0014] Temperature and humidity acquisition module: used to collect temperature and humidity information data of the surrounding environment of the transmission and substation in real time;

[0015] Size collection module: used to collect the area of ​​power transmission and substation and the size information of electrical equipment in real time;

[0016] Current acquisition module: used to collect current information data of electrical equipment in transmission and substation in real time;

[0017] Voltage acquisition module: used to collect voltage information data of electrical equipment in transmission and substation in real time;

[0018] Frequency collection module: used to collect voltage fluctuation frequency information data of electrical equipment in transmission and substation in real time;

[0019] Electricity collection module: used for real-time collection of input and output electricity information data during the power transmission and transformation process.

[0020] Furthermore, the data processing unit includes: a data acquisition module, an analysis and judgment module, a signal sending module and a result forwarding module;

[0021] Data acquisition module: used for real-time acquisition of information data stored in the data storage unit;

[0022] Analysis and judgment module: used to analyze and judge the information data obtained by the data acquisition module, so as to obtain the results of the analysis and judgment;

[0023] Signal sending module: used to send control command signals to the intelligent control unit according to the results of analysis and judgment when abnormal conditions occur in the results of analysis and judgment by the analysis and judgment module;

[0024] Result forwarding module: used to forward the results analyzed and judged by the analysis and judgment module to the remote monitoring unit.

[0025] Furthermore, the intelligent control unit includes: a signal receiving module, a temperature and humidity control module and an intelligent voltage regulating module;

[0026] Signal receiving module: used to receive the control command signal sent by the signal sending module in real time;

[0027] Temperature and humidity control module: used to control the temperature and humidity in the power transmission and transformation station during the power transmission and transformation process;

[0028] Intelligent voltage regulation module: used to regulate the voltage of electrical equipment in the transmission and substation.

[0029] Furthermore, the remote monitoring unit includes: a data receiving module, a data display module and an abnormal alarm module;

[0030] Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time;

[0031] Data display module: used to display the information data received by the data receiving module on the background terminal display screen;

[0032] Abnormal alarm module: used to send an alarm prompt to the background terminal when the result obtained by the analysis and judgment module is abnormal.

[0033] Furthermore, the analysis and judgment module can obtain the temperature and humidity of the surrounding environment of the substation and the area occupied by the substation and the size of electrical equipment from the data acquisition module, and obtain the environmental warning index through the analysis of the above acquired data. If:

[0034]

[0035] This means that the temperature and humidity in the substation environment are appropriate, where E is the environmental warning index, N is the total number of monitored electrical equipment, and T avg is the average temperature of the external environment of the substation during time, T i is the temperature of the ith electrical equipment, S is the area of ​​the substation, h max is the maximum height of electrical equipment in the transmission and substation, h min is the minimum height of electrical equipment in the substation, V i is the volume of the i-th electrical equipment, time is the data collection time, wet j is the humidity of the external environment of the substation at the jth second, wet max is the maximum humidity of the external environment of the substation during the time period, wet min is the minimum humidity of the external environment of the substation within the time period, and δ is the preset threshold parameter of the environmental warning.

[0036] Furthermore, the analysis and judgment module can obtain the current, voltage, and voltage fluctuation frequency information data of the electrical equipment in the transmission and substation from the data acquisition module, and obtain the electrical equipment early warning index through the analysis of the above acquired data, if:

[0037]

[0038] This means that the electrical equipment in the monitored transmission and substation is running stably, where C is the electrical equipment early warning index, U j is the actual voltage of the monitored electrical equipment at the jth second, I j is the actual current of the monitored electrical equipment at the jth second, I e is the rated current of the monitored electrical equipment, U e is the rated voltage of the monitored electrical equipment, E is the environmental warning index, time is the data collection time, g j is the number of voltage fluctuations of the monitored electrical equipment in the jth second, g max is the maximum voltage fluctuation times of the monitored electrical equipment within the time period, g min U is the minimum voltage fluctuation number of the monitored electrical equipment within the time period. max It is the maximum voltage of the monitored electrical equipment during the time period.

[0039] Furthermore, the analysis and judgment module can obtain the input and output power, the area occupied by the transmission and transformation station and the size of the electrical equipment, and the temperature information data of the surrounding environment of the transmission and transformation station from the data acquisition module during the transmission and transformation process, and analyze the above acquired data to obtain the transformer stability index. If:

[0040]

[0041] This means that the power transmission and transformation process of the substation is stable, where pts is the transformer stability index, E is the environmental warning index, and T max T is the maximum temperature value of the monitored electrical equipment within time. min T is the minimum temperature value of the monitored electrical equipment within time. avg is the average temperature of the external environment of the substation during time, is the power value of the substation input at the jth second, is the power value of the substation output at the jth second, V tg is the volume of the transformer equipment, S is the area of ​​the substation, h max is the maximum height of electrical equipment in the transmission and substation, h min is the minimum height of electrical equipment in the substation, C tg is the transformer equipment early warning index, h tg is the height of the transformer equipment, and μ is the preset threshold parameter of transformer stability.

[0042] According to another aspect of the present invention, a method for recommending e-commerce products based on big data is provided. The method is implemented based on the above-mentioned transmission and substation safety early warning system and method based on the Internet of Things, and specifically includes the following steps:

[0043] S1. Number the electrical equipment in the substation according to their size, from large to small;

[0044] S2. During the monitoring and early warning process of the transmission and substation, real-time data collection of temperature and humidity, size, current, voltage, number of voltage fluctuations and power data is performed;

[0045] S3, transmitting and storing the collected information data, and performing real-time analysis on the information data to obtain analysis results;

[0046] S4. When the analysis result is abnormal, an alarm is sent to the background terminal. According to the analysis result, a control command signal is issued to control the temperature, humidity and voltage;

[0047] S5. When the analysis result is abnormal and the automatic control cannot solve the abnormal equipment problem, an alarm is sent to the background terminal and staff are dispatched to the site for maintenance.

[0048] The beneficial effects of the safety early warning system and method of a power transmission and substation based on the Internet of Things of the present invention are as follows: through the data acquisition unit, comprehensive monitoring of the power transmission and substation environment and the state of electrical equipment is achieved, and then the collected information data is analyzed and processed by the data processing unit, and then the analysis results are obtained and early warnings are issued for abnormal situations, which can timely discover and accurately warn of potential safety hazards. At the same time, the intelligent control unit handles abnormal situations in a timely manner, which greatly improves the operating efficiency and safety of the power transmission and substation, and effectively avoids safety accidents caused by equipment failures, ensuring the continuous, stable and efficient operation of the power grid. At the same time, through the remote monitoring unit, real-time display and abnormal alarm of monitoring data are achieved, providing convenient and efficient monitoring means for operation and maintenance personnel, and further improving the management level and operation and maintenance efficiency of the power transmission and substation. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0050] Figure 1 The schematic diagram of the system principle is shown in Figure 2.

[0051] Figure 2 A schematic diagram of the method flow chart. DETAILED DESCRIPTION

[0052] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0053] According to one aspect of the present invention, Figure 1-2 As shown, a safety early warning system and method for a power transmission and substation based on the Internet of Things is provided. First, the electrical equipment in the power transmission and substation is numbered from large to small according to the volume of the electrical equipment through the equipment numbering unit. Then, in the process of monitoring and early warning of the power transmission and substation, the temperature and humidity of the surrounding environment of the power transmission and substation, the area occupied by the power transmission and substation and the size of the electrical equipment, the current and voltage of the electrical equipment, the number of voltage fluctuations of the electrical equipment, and the input and output power information data in the power transmission and substation process are collected in real time through the temperature and humidity collection module, the size collection module, the current collection module, the voltage collection module, the frequency collection module, and the power collection module.

[0054] Then, the collected information data is transmitted and stored, and the information data is acquired and analyzed in real time through the data processing unit to obtain the analysis results. When the analysis results are abnormal, an alarm is sent to the background terminal through the abnormal alarm module, and according to the analysis results, the control command signal is sent to the intelligent control unit through the signal sending module, and the temperature and humidity and voltage are respectively controlled through the temperature and humidity control module and the intelligent voltage regulation module.

[0055] Afterwards, the data receiving module in the remote monitoring unit can receive the information data stored in the data storage unit and the analysis results of the data processing unit in real time, and display the received information data on the background terminal display screen through the data display module.

[0056] The analysis and judgment module can obtain the temperature and humidity of the surrounding environment of the substation, the area occupied by the substation, and the size of electrical equipment from the data acquisition module, and analyze the data obtained above to obtain the environmental warning index. If:

[0057]

[0058] This means that the temperature and humidity in the substation environment are suitable. This means that the temperature and humidity in the substation environment are not suitable, which in turn affects the operation efficiency of the substation, triggers the abnormal alarm module to send an alarm to the background terminal, and sends a control signal to the intelligent control unit through the signal sending module. The temperature and humidity control module controls the temperature and humidity of the substation, and adjusts the ambient temperature of the substation to 20-35℃ and the humidity to 40-55%. Among them, E is the environmental warning index, N is the total number of monitored electrical equipment, and T avg is the average temperature of the external environment of the substation during time, T i is the temperature of the ith electrical equipment, S is the area of ​​the substation, h max is the maximum height of electrical equipment in the transmission and substation, h min is the minimum height of electrical equipment in the substation, V i is the volume of the i-th electrical equipment, time is the data collection time, wet j is the humidity of the external environment of the substation at the jth second, wet max is the maximum humidity of the external environment of the substation during the time period, wet min is the minimum humidity of the external environment of the substation within the time period, and δ is the preset threshold parameter of the environmental warning.

[0059] The analysis and judgment module can obtain the current, voltage, and voltage fluctuation information data of the electrical equipment in the transmission and substation from the data acquisition module, and obtain the electrical equipment early warning index through the above acquired data analysis. If:

[0060]

[0061] This means that the electrical equipment in the monitored transmission and substation is operating stably. This means that the electrical equipment in the monitored transmission and substation is unstable, which will trigger the abnormal alarm module to alarm the background terminal. At the same time, the signal sending module sends a control signal to the intelligent control unit, and the intelligent voltage regulation module regulates the voltage of the monitored electrical equipment. If the actual voltage of the monitored electrical equipment exceeds the rated voltage, it will be reduced. If the actual voltage of the monitored electrical equipment is lower than the rated voltage, it will be increased. If the abnormal equipment problem cannot be solved after automatic regulation, the background terminal will be alarmed again, and staff will be dispatched to the site for maintenance. Among them, C is the electrical equipment early warning index, U j is the actual voltage of the monitored electrical equipment at the jth second, I j is the actual current of the monitored electrical equipment at the jth second, I e is the rated current of the monitored electrical equipment, U e is the rated voltage of the monitored electrical equipment, E is the environmental warning index, time is the data collection time, g j is the number of voltage fluctuations of the monitored electrical equipment in the jth second, g max is the maximum voltage fluctuation times of the monitored electrical equipment within the time period, g min U is the minimum voltage fluctuation number of the monitored electrical equipment within the time period. max is the maximum voltage of the monitored electrical equipment during time. It should be noted that when |U j -U e |U e When it is ≥0.05, it is counted as a voltage fluctuation; otherwise, it is not counted as a voltage fluctuation.

[0062] The analysis and judgment module can obtain the input and output power, the area of ​​the substation and the size of the electrical equipment, and the temperature information data of the surrounding environment of the substation from the data acquisition module during the power transmission and transformation process, and analyze the above acquired data to obtain the transformer stability index. If:

[0063]

[0064] This means that the power transmission and transformation process of the substation is stable. This means that the power transmission and transformation process of the power transmission and transformation station is unstable, which will trigger the abnormal alarm module to alarm the background terminal and dispatch staff to the site to perform overall maintenance and repair of the electrical equipment in the power transmission and transformation process. Among them, pts is the transformer stability index, E is the environmental warning index, and T max T is the maximum temperature value of the monitored electrical equipment within time. min T is the minimum temperature value of the monitored electrical equipment within time. avg is the average temperature of the external environment of the substation during time, is the power value of the substation input at the jth second, is the power value of the substation output at the jth second, V tg is the volume of the transformer equipment, S is the area of ​​the substation, h max is the maximum height of electrical equipment in the transmission and substation, h min is the minimum height of electrical equipment in the substation, C tg is the transformer equipment early warning index, which can be calculated by bringing the collected transformer equipment current, voltage and voltage fluctuation times information data into the above electrical equipment early warning index formula, h tg is the height of the transformer equipment, and μ is the preset threshold parameter of transformer stability.

[0065] The above-mentioned embodiment only expresses one implementation mode of the present invention, and its description is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. A safety early warning system and method for a power transmission and substation based on the Internet of Things, characterized in that: include: Equipment numbering unit, data acquisition unit, data transmission unit, data storage unit, data processing unit, intelligent control unit and remote monitoring unit; among which: Equipment numbering unit: used to number the electrical equipment in the substation from large to small according to their volumes; Data acquisition unit: used for real-time acquisition of information data generated during power transmission and transformation; Data transmission unit: used for real-time transmission of information data collected by the data collection unit; Data storage unit: used to store the information data transmitted in real time by the data transmission unit; Data processing unit: used to process and analyze the information data stored in the data storage unit, obtain the processing and analysis results, and then forward the obtained processing and analysis results to the remote monitoring unit, and at the same time issue control instructions to the intelligent control unit according to the processing and analysis results; Intelligent control unit: used to receive the control signal from the data processing unit, and control the temperature and humidity of the environment and the voltage of the electrical equipment during the power transmission and transformation process according to the control signal; Remote monitoring unit: used to display the information data stored in the data storage unit and the analysis results of the data processing unit in real time on the background terminal. At the same time, when the results obtained by the data processing unit analysis are abnormal, an alarm is issued to the background terminal.

2. According to the Internet of Things-based transmission and substation safety early warning system and method according to claim 1, it is characterized by: The data acquisition unit includes: a temperature and humidity acquisition module, a dimension acquisition module, a current acquisition module, a voltage acquisition module, a frequency acquisition module and a power acquisition module; Temperature and humidity acquisition module: used to collect temperature and humidity information data of the surrounding environment of the transmission and substation in real time; Size collection module: used to collect the area of ​​power transmission and substation and the size information of electrical equipment in real time; Current acquisition module: used to collect current information data of electrical equipment in transmission and substation in real time; Voltage acquisition module: used to collect voltage information data of electrical equipment in transmission and substation in real time; Frequency collection module: used to collect voltage fluctuation frequency information data of electrical equipment in transmission and substation in real time; Electricity collection module: used for real-time collection of input and output electricity information data during the power transmission and transformation process.

3. According to the Internet of Things-based transmission and substation safety early warning system and method according to claim 2, it is characterized by: The data processing unit includes: a data acquisition module, an analysis and judgment module, a signal sending module and a result forwarding module; Data acquisition module: used for real-time acquisition of information data stored in the data storage unit; Analysis and judgment module: used to analyze and judge the information data obtained by the data acquisition module, so as to obtain the results of the analysis and judgment; Signal sending module: used to send control command signals to the intelligent control unit according to the results of analysis and judgment when abnormal conditions occur in the results of analysis and judgment by the analysis and judgment module; Result forwarding module: used to forward the results analyzed and judged by the analysis and judgment module to the remote monitoring unit.

4. According to the Internet of Things-based transmission and substation safety early warning system and method according to claim 3, it is characterized by: The intelligent control unit includes: a signal receiving module, a temperature and humidity control module and an intelligent voltage regulation module; Signal receiving module: used to receive the control command signal sent by the signal sending module in real time; Temperature and humidity control module: used to control the temperature and humidity in the power transmission and transformation station during the power transmission and transformation process; Intelligent voltage regulation module: used to regulate the voltage of electrical equipment in the transmission and substation.

5. According to the Internet of Things-based transmission and substation safety early warning system and method according to claim 4, it is characterized by: The remote monitoring unit includes: a data receiving module, a data display module and an abnormal alarm module; Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time; Data display module: used to display the information data received by the data receiving module on the background terminal display screen; Abnormal alarm module: used to send an alarm prompt to the background terminal when the result obtained by the analysis and judgment module is abnormal.

6. The safety early warning system and method for a power transmission and substation based on the Internet of Things according to claim 5 is characterized by: The analysis and judgment module can obtain the temperature and humidity of the surrounding environment of the substation, the area occupied by the substation, and the size of electrical equipment from the data acquisition module, and obtain the environmental warning index through the analysis of the above acquired data. If: This means that the temperature and humidity in the substation environment are appropriate, where E is the environmental warning index, N is the total number of monitored electrical equipment, and T avg is the average temperature of the external environment of the substation during time, T i is the temperature of the ith electrical equipment, S is the area of ​​the substation, h max is the maximum height of electrical equipment in the transmission and substation, h min is the minimum height of electrical equipment in the substation, V i is the volume of the i-th electrical equipment, time is the data collection time, wet j is the humidity of the external environment of the substation at the jth second, wer max is the maximum humidity of the external environment of the substation during the time period, wet min is the minimum humidity of the external environment of the substation within the time period, and δ is the preset threshold parameter of the environmental warning.

7. The safety early warning system and method for a power transmission and substation based on the Internet of Things according to claim 6 is characterized by: The analysis and judgment module can obtain the current, voltage, and voltage fluctuation frequency information data of the electrical equipment in the transmission and substation from the data acquisition module, and obtain the electrical equipment early warning index through the above acquired data analysis, if: This means that the electrical equipment in the monitored transmission and substation is running stably, where C is the electrical equipment early warning index, U j is the actual voltage of the monitored electrical equipment at the jth second, I j is the actual current of the monitored electrical equipment at the jth second, I e is the rated current of the monitored electrical equipment, U e is the rated voltage of the monitored electrical equipment, E is the environmental warning index, time is the data collection time, g j is the number of voltage fluctuations of the monitored electrical equipment in the jth second, g max is the maximum voltage fluctuation times of the monitored electrical equipment within the time period, g min U is the minimum voltage fluctuation number of the monitored electrical equipment within the time period. max It is the maximum voltage of the monitored electrical equipment during the time period.

8. The Internet of Things-based transmission and substation safety early warning system and method according to claim 7 is characterized by: The analysis and judgment module can obtain the input and output power, the area occupied by the transmission and transformation station and the size of the electrical equipment, and the temperature information data of the surrounding environment of the transmission and transformation station from the data acquisition module during the transmission and transformation process, and analyze the above acquired data to obtain the transformer stability index. If: This means that the power transmission and transformation process of the substation is stable, where pts is the transformer stability index, E is the environmental warning index, and T max T is the maximum temperature value of the monitored electrical equipment within time. min T is the minimum temperature value of the monitored electrical equipment within time. avg is the average temperature of the external environment of the substation during time, is the power value of the substation input at the jth second, is the power value of the substation output at the jth second, V tg is the volume of the transformer equipment, S is the area of ​​the substation, h max is the maximum height of electrical equipment in the transmission and substation, h min is the minimum height of electrical equipment in the substation, C tg is the transformer equipment early warning index, h tg is the height of the transformer equipment, and μ is the preset threshold parameter of transformer stability.

9. A method for recommending e-commerce products based on big data, characterized in that: The method is implemented based on a transmission and substation safety early warning system and method based on the Internet of Things as described in any one of claims 1 to 8, and specifically includes the following steps: S1. Number the electrical equipment in the substation according to their size, from large to small; S2. During the monitoring and early warning process of the transmission and substation, real-time data collection of temperature and humidity, size, current, voltage, number of voltage fluctuations and power data is performed; S3, transmitting and storing the collected information data, and performing real-time analysis on the information data to obtain analysis results; S4. When the analysis result is abnormal, an alarm is sent to the background terminal. According to the analysis result, a control command signal is issued to control the temperature, humidity and voltage; S5. When the analysis result is abnormal and the automatic control cannot solve the abnormal equipment problem, an alarm is sent to the background terminal and staff are dispatched to the site for maintenance.

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