Data acquisition reliability management and control method based on transfer power supply terminal user

Abstract

The invention relates to the technical field of data acquisition management and control, is used for solving the problem of reliability and continuity of data acquisition of a power supply transfer terminal user, and particularly relates to a data acquisition reliability management and control method based on the power supply transfer terminal user. According to the method, analysis is carried out through two points of operation interference and actual operation, so that the data acquisition reliability risk condition of the power supply terminal user monitoring equipment is known, on one hand, the acquisition interference condition of the power supply terminal user monitoring equipment can be visually known, on the other hand, data support is provided for subsequent analysis, and the reliability of the power supply terminal user monitoring equipment is improved. Meanwhile, analysis is carried out from the perspective of data transmission quality, so that a monitoring equipment transmission network is managed and adjusted, the influence of monitoring equipment on data acquisition is reduced, and acquisition reliability risk assessment analysis is carried out in an information fusion mode; therefore, the power supply terminal user monitoring equipment is reasonably managed comprehensively according to the management and control scheme, so that the continuous reliability and stability of data acquisition are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data collection control and management, and in particular to a data collection reliability control method based on power supply transfer terminal users. Background Art

[0002] With the application and development of energy big data, developing comprehensive energy services has become an important development direction to improve energy service efficiency, reduce energy costs, and promote competition and cooperation. At present, the energy demand of users such as industrial small and micro parks, commercial complexes, properties, and office buildings is relatively large, and there is a common power supply service link. The demand for intelligent energy management is increasing;

[0003] Remote online meter reading and real-time monitoring are achieved through the Internet of Things and mobile communication technologies. However, in the prior art, it is impossible to monitor the data collection risk of the power supply terminal user monitoring end, which causes the power supply terminal user monitoring end to interfere with the reliability of data collection, and it is impossible to monitor the quality of data transmission, which leads to a decrease in the quality of data transmission, which is not conducive to the reliability data collection of the power supply terminal user monitoring end, and it is impossible to reasonably manage the reliability of the power supply terminal user monitoring end, which is not conducive to the stability and continuity of the reliability data collection of the power supply terminal user monitoring end;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a data collection reliability control method based on power transfer terminal users to solve the above-mentioned technical defects. The present invention analyzes the two points of operation interference and actual operation to understand the data collection reliability risk of the power transfer terminal user monitoring equipment. At the same time, it analyzes from the perspective of data transmission quality so as to manage and adjust the monitoring equipment transmission network so as to reduce the impact of the monitoring equipment on data collection so as to improve data collection reliability. The collection reliability risk assessment analysis is performed through information feedback and information fusion so as to comprehensively and rationally manage the power transfer terminal user monitoring equipment according to the control plan to improve the reliability and continuity of data collection of the power transfer terminal user monitoring equipment.

[0006] Preferably, the purpose of the present invention can be achieved by the following technical solution: a data collection reliability control method based on power supply terminal users comprises the following steps:

[0007] Step 1: Collect the energy supply risk data and operation performance data of the terminal user monitoring equipment, and substitute the energy supply risk data into step 2 for collection interference risk assessment and analysis, and substitute the operation performance data into step 3 for actual collection status supervision assessment and analysis;

[0008] Step 2: Collect and analyze the interference risk assessment of energy supply risk data, draw a coordinate system for the obtained stability risk index and dynamic interference value, and substitute the obtained state interference index into step 3;

[0009] Step 3: Perform actual collection status supervision and evaluation analysis on the operation performance data, perform discriminant processing on the obtained collection evaluation coefficient J, and substitute the obtained collection status coefficient CJ into step 5;

[0010] Step 4: Collect the timeliness risk data of the terminal user's monitoring equipment, and conduct a collection timeliness quality assessment and analysis on the timeliness risk data, and compare and analyze the obtained transmission quality index CC. If a risk signal is obtained, feedback management is provided, and the obtained transmission quality index CC is substituted into step 5;

[0011] Step 5: Perform collection reliability risk assessment analysis through information feedback and progressive methods, and compare and analyze the obtained reliability assessment coefficient K. If an alarm signal is obtained, feedback management is performed. If a feedback instruction is obtained, matching control analysis is performed, and the obtained reliability matching value is judged and processed to obtain matching instructions and management instructions.

[0012] Preferably, the collection interference risk assessment and analysis process is as follows:

[0013] Set the monitoring period of power supply to users in the target area and set it as the time threshold. Divide the time threshold into i sub-time periods, where i is a natural number greater than zero. Obtain the energy supply risk data of the monitoring equipment of the power supply terminal users in each sub-time period. The energy supply risk data includes a stability risk index and a dynamic interference value. A rectangular coordinate system is established with the number of sub-time periods as the X-axis and the energy supply risk data as the Y-axis. The stability risk index curve and the dynamic interference value curve are drawn by plotting points. The overlapping area of ​​the stability risk index curve and the dynamic interference value curve with the area enclosed by the X-axis is obtained and set as the state interference index.

[0014] Preferably, the stability risk index represents the frequency of the instantaneous voltage data at the power supply end of the monitoring device exceeding the preset threshold during the sub-time period, and the instantaneous voltage data represents the instantaneous voltage change value; the dynamic interference value represents the proportion of the time duration corresponding to the environmental data of the environment in which the monitoring device is located exceeding the preset threshold during the sub-time period, and the environmental data includes ambient temperature and humidity.

[0015] Preferably, the actual collection status supervision evaluation analysis process is as follows:

[0016] The operation performance data of the monitoring equipment within the time threshold is obtained. The operation performance data includes the operation deviation value and the acquisition interference index. The operation deviation value, the acquisition interference index and the state interference index are labeled as YP, CS and ZG respectively. According to the formula J = (YP×f1+CS×f2+ZG×f3) 2 The acquisition evaluation coefficient is obtained, wherein f1, f2 and f3 are respectively the preset weight factor coefficients of the operation deviation value, the acquisition interference index and the state interference index, f1, f2 and f3 are all greater than zero, J is the acquisition evaluation coefficient, and the acquisition evaluation coefficient J is compared and analyzed with the threshold E1 and threshold E2 stored internally, the threshold E1 is less than the threshold E2, and the acquisition state coefficient CJ is obtained, CJ = 1, 2, 3.

[0017] Preferably, the operating deviation value represents the maximum duration corresponding to the deviation of the actual operating parameters of the monitoring equipment from the preset threshold range, and the actual operating parameters include the operating voltage and the operating current; the acquisition interference index represents the sum of the values ​​of the part of the actual operating performance characteristics of the monitoring equipment that deviates from the preset threshold after data normalization processing, and the actual operating performance characteristics include vibration amplitude and operating temperature.

[0018] Preferably, the collection timeliness quality assessment and analysis process is as follows:

[0019] Obtain the timeliness risk data of the power supply terminal users within the time threshold. The timeliness risk data includes the acquisition deviation index and the transmission offset index. The acquisition deviation index and the transmission offset index are labeled as CP and CZ respectively. Substitute the acquisition deviation index CP and the transmission offset index CZ into the formula The timeliness risk impact coefficient is obtained, where a1 and a2 are the preset proportional factor coefficients of the acquisition deviation index and the transmission offset index respectively, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, C is the timeliness risk impact coefficient, and the timeliness risk impact coefficient C is compared and analyzed with the preset timeliness risk impact coefficient range entered and stored internally to obtain the transmission quality index CC, CC=2, 4, 6.

[0020] Preferably, the collection deviation index is the ratio of the proportion of delayed operation and maintenance times in the total operation and maintenance times of the transmission network of the monitoring equipment to the total number of optimization updates of the transmission network after data normalization processing; the transmission offset index represents the part of the transmission delay time limit of the monitoring equipment transmission network that exceeds a preset threshold, and the transmission delay time limit represents the part of the transmission delay value of the transmission network that exceeds the preset threshold.

[0021] Preferably, the acquisition reliability risk assessment analysis process is as follows:

[0022] Obtain the acquisition state coefficient CJ and transmission quality index CC of the power supply terminal user monitoring device within the threshold, and substitute the acquisition state coefficient CJ and transmission quality index CC into the formula K = (CJ×v1+CC×v2) 2 The reliability evaluation coefficient is obtained, where v1 and v2 are the acquisition state coefficient CJ and the transmission quality index CC error correction coefficient respectively, v1 and v2 are both greater than zero, K is the reliability evaluation coefficient, and the reliability evaluation coefficient K is compared and analyzed with the preset reliability evaluation coefficient threshold value stored in the internal input:

[0023] If the reliability evaluation coefficient K is less than the preset reliability evaluation coefficient threshold, a feedback instruction is generated;

[0024] If the reliability evaluation coefficient K is greater than or equal to the preset reliability evaluation coefficient threshold, an alarm signal is generated. When an alarm signal is generated, a preset early warning operation corresponding to the alarm signal is immediately performed;

[0025] When the last feedback instruction is given, a rectangular coordinate system is established with time as the X-axis and the reliability evaluation coefficient K as the Y-axis. The reliability evaluation coefficient curve is drawn by plotting points, and the maximum value of the overlap rate between the reliability evaluation coefficient curve and the reliability evaluation coefficient curves of the same historical time threshold is set as the reliability matching value, where m is a natural number greater than zero. The reliability matching value is further judged:

[0026] If the reliability matching value is greater than the preset reliability matching value threshold, a matching instruction is generated. When a matching instruction is generated, the preset control plan corresponding to the matching instruction is immediately executed;

[0027] If the reliability matching value is less than or equal to the preset reliability matching value threshold, a management instruction is generated. When the management instruction is generated, the preset warning operation corresponding to the management instruction is immediately executed.

[0028] The beneficial effects of the present invention are as follows:

[0029] (1) The present invention analyzes the data collection reliability risk of the power transfer terminal user monitoring device through the two points of operation interference and actual operation, and performs relevant classification processing of the collection interference level on the collection evaluation coefficient J obtained by the analysis. On the one hand, it helps to intuitively understand the collection interference of the power transfer terminal user monitoring device, and on the other hand, it helps to provide data support for subsequent analysis to improve the accuracy of the data collection reliability analysis results;

[0030] (2) The present invention analyzes from the perspective of data transmission quality in order to manage and adjust the monitoring equipment transmission network in order to reduce the impact of the monitoring equipment on data collection in order to improve the reliability of data collection, and conducts collection reliability risk assessment analysis through information feedback and information fusion in order to rationally manage the power supply terminal user monitoring equipment in a comprehensive manner based on the management and control plan in order to improve the reliability and continuity of data collection of the power supply terminal user monitoring equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention will be further described below in conjunction with the accompanying drawings;

[0032] Figure 1 It is a reference diagram for analysis of the method of the present invention. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] Embodiment 1:

[0035] See also Figure 1 As shown, the present invention is a data collection reliability control method based on power supply terminal users, comprising the following steps:

[0036] Step 1: Collect the energy supply risk data and operation performance data of the terminal user monitoring equipment, and substitute the energy supply risk data into step 2 for collection interference risk assessment and analysis, and substitute the operation performance data into step 3 for actual collection status supervision assessment and analysis;

[0037] Step 2: Collect and analyze the interference risk assessment of energy supply risk data, draw a coordinate system for the obtained stability risk index and dynamic interference value, and substitute the obtained state interference index into step 3;

[0038] Step 3: Perform actual collection status supervision and evaluation analysis on the operation performance data, perform discriminant processing on the obtained collection evaluation coefficient J, and substitute the obtained collection status coefficient CJ into step 5;

[0039] Step 4: Collect the timeliness risk data of the terminal user's monitoring equipment, and conduct a collection timeliness quality assessment and analysis on the timeliness risk data, and compare and analyze the obtained transmission quality index CC. If a risk signal is obtained, feedback management is provided, and the obtained transmission quality index CC is substituted into step 5;

[0040] Step 5: Perform collection reliability risk assessment analysis through information feedback and progressive methods, and compare and analyze the obtained reliability assessment coefficient K. If an alarm signal is obtained, feedback management is performed. If a feedback instruction is obtained, matching control analysis is performed, and the obtained reliability matching value is judged and processed to obtain matching instructions and management instructions;

[0041] The specific collection interference risk assessment and analysis process is as follows:

[0042] Set the monitoring period of power supply to users in the target area, and set it as the time threshold, divide the time threshold into i sub-time periods, i is a natural number greater than zero, obtain the energy supply risk data of the monitoring equipment of the power supply terminal user in each sub-time period, the energy supply risk data includes the stability risk index and the dynamic interference value, establish a rectangular coordinate system with the number of sub-time periods as the X-axis and the energy supply risk data as the Y-axis, draw the stability risk index curve and the dynamic interference value curve by plotting points, obtain the overlapping area of ​​the stability risk index curve and the dynamic interference value curve and the area enclosed by the X-axis, and set it as the state interference index, and substitute the state interference index into step three;

[0043] In the embodiment of the present invention, the stability risk index indicates the frequency of the instantaneous voltage data of the energy supply end of the monitoring device exceeding the preset threshold value in the sub-time period, and the instantaneous voltage data indicates the instantaneous voltage change value. It should be noted that the collection interference of the monitoring device is understood from the perspective of the operation and energy supply of the monitoring device;

[0044] In the embodiment of the present invention, the dynamic interference value indicates the proportion of the time corresponding to the environmental data of the environment in which the monitoring device is located exceeding the preset threshold value in the sub-time period, and the environmental data includes the ambient temperature, humidity, etc. It should be noted that the analysis is performed from the perspective of the external environment of the monitoring device to understand the reliability risk of the data collected by the monitoring device;

[0045] The specific actual collection status supervision assessment and analysis process is as follows:

[0046] The operation performance data of the monitoring equipment within the time threshold is obtained. The operation performance data includes the operation deviation value and the acquisition interference index. The operation deviation value, the acquisition interference index and the state interference index are labeled as YP, CS and ZG respectively. According to the formula J = (YP×f1+CS×f2+ZG×f3) 2 The acquisition evaluation coefficient is obtained, where f1, f2 and f3 are respectively the preset weight factor coefficients of the operation deviation value, the acquisition interference index and the state interference index, f1, f2 and f3 are all greater than zero, and J is the acquisition evaluation coefficient. The acquisition evaluation coefficient J is compared and analyzed with the thresholds E1 and E2 stored in the internal data entry, and the threshold E1 is less than the threshold E2:

[0047] If the acquisition evaluation coefficient J is less than the threshold E1, it is determined to be in the first-level state;

[0048] If the threshold E1≤collection evaluation coefficient J≤threshold E2, it is determined to be in the secondary state;

[0049] If the acquisition evaluation coefficient J>threshold E2, it is determined to be a level three state, wherein the acquisition risks corresponding to the level one state, the level two state and the level three state are abnormally increased, and the level one state, the level two state and the level three state are set as the acquisition state coefficient CJ, CJ=1, 2, 3, that is, when the acquisition state coefficient CJ=1, it indicates the level one state, when the acquisition state coefficient CJ=2, it indicates the level two state, when the acquisition state coefficient CJ=3, it indicates the level three state, the acquisition state coefficient CJ is substituted into step five, and the corresponding value of the acquisition state coefficient CJ is displayed at the same time, so as to intuitively understand the acquisition interference situation of the monitoring equipment of the power supply terminal user;

[0050] In the embodiment of the present invention, the operation deviation value indicates the maximum value of the time corresponding to the deviation of the actual operation parameters of the monitoring device from the preset threshold range. The actual operation parameters include the operation voltage, the operation current, etc. It should be noted that the larger the value of the operation deviation value, the greater the abnormal collection risk of the monitoring device;

[0051] In an embodiment of the present invention, the acquisition interference index represents the sum of the values ​​of the part of the actual operating performance characteristics of the monitoring equipment that deviates from the preset threshold after data normalization processing. The actual operating performance characteristics include vibration amplitude, operating temperature, etc. It should be noted that the larger the value of the acquisition interference index, the greater the acquisition risk abnormality of the monitoring equipment.

[0052] Embodiment 2:

[0053] The specific collection timeliness quality assessment and analysis process is as follows:

[0054] Obtain the timeliness risk data of the power supply terminal users within the time threshold. The timeliness risk data includes the acquisition deviation index and the transmission offset index. The acquisition deviation index and the transmission offset index are labeled as CP and CZ respectively. Substitute the acquisition deviation index CP and the transmission offset index CZ into the formula The timeliness risk impact coefficient is obtained, where a1 and a2 are the preset proportional factor coefficients of the acquisition deviation index and the transmission offset index respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. A3 is the preset correction factor coefficient. A1, a2 and a3 are all greater than zero. C is the timeliness risk impact coefficient. The timeliness risk impact coefficient C is compared with the preset timeliness risk impact coefficient range stored in the internal input:

[0055] If the time-limited risk impact coefficient C is less than the minimum value in the preset time-limited risk impact coefficient range, it is determined to be a first-level transmission;

[0056] If the time-limited risk impact coefficient C falls within the preset time-limited risk impact coefficient range, it is determined to be secondary transmission;

[0057] If the aging risk impact coefficient C is greater than the maximum value in the preset aging risk impact coefficient range, it is determined to be three-level transmission, wherein the transmission qualities corresponding to the primary transmission, the secondary transmission and the tertiary transmission are monitored in turn, and the primary transmission, the secondary transmission and the tertiary transmission are set as the transmission quality index CC, CC = 2, 4, 6, that is, when the transmission quality index CC = 2, it indicates primary transmission, when the transmission quality index CC = 4, it indicates secondary transmission, when the transmission quality index CC = 6, it indicates tertiary transmission, the transmission quality index CC is substituted into step five, and the transmission quality index CC is discriminated and analyzed:

[0058] If the transmission quality index CC = 2, no signal is generated;

[0059] If the transmission quality index CC=4 or the transmission quality index CC=6, a risk signal is generated. When a risk signal is generated, a preset warning operation corresponding to the risk signal is immediately performed to manage and adjust the transmission network of the monitoring equipment, so as to reduce the impact of the monitoring equipment on data collection, so as to improve the reliability of data collection;

[0060] In the embodiment of the present invention, the acquisition deviation index monitors the ratio of the proportion of delayed operation and maintenance times in the total operation and maintenance times of the transmission network of the equipment to the total number of optimization and update times of the transmission network after data normalization. It should be noted that the data transmission quality risk situation is analyzed from the perspective of network quality;

[0061] In the embodiment of the present invention, the transmission deviation index indicates the portion of the transmission delay time effectiveness of the monitoring device transmission network that exceeds the preset threshold value, and the transmission delay time effectiveness indicates the portion of the transmission delay value of the transmission network that exceeds the preset threshold value. It should be noted that the data reliability risk is analyzed from the perspective of transmission, so as to actually adjust the transmission network to reduce the impact of the network on the reliability of data collection;

[0062] The specific collection reliability risk assessment and analysis process is as follows:

[0063] Obtain the acquisition state coefficient CJ and transmission quality index CC of the power supply terminal user monitoring device within the threshold, and substitute the acquisition state coefficient CJ and transmission quality index CC into the formula K = (CJ×v1+CC×v2) 2The reliability evaluation coefficient is obtained, where v1 and v2 are the acquisition state coefficient CJ and the transmission quality index CC error correction coefficient respectively, v1 and v2 are both greater than zero, K is the reliability evaluation coefficient, and the reliability evaluation coefficient K is compared and analyzed with the preset reliability evaluation coefficient threshold value stored in the internal input:

[0064] If the reliability evaluation coefficient K is less than the preset reliability evaluation coefficient threshold, a feedback instruction is generated;

[0065] If the reliability evaluation coefficient K is greater than or equal to the preset reliability evaluation coefficient threshold, an alarm signal is generated. When the alarm signal is generated, a preset early warning operation corresponding to the alarm signal is immediately performed, so as to rationally manage the power transfer terminal user monitoring equipment and improve the data collection reliability of the power transfer terminal user monitoring equipment;

[0066] When the last feedback instruction is given, a rectangular coordinate system is established with time as the X-axis and the reliability evaluation coefficient K as the Y-axis. The reliability evaluation coefficient curve is drawn by plotting points, and the maximum value of the overlap rate between the reliability evaluation coefficient curve and the reliability evaluation coefficient curves of the same historical time threshold is set as the reliability matching value, where m is a natural number greater than zero. The reliability matching value is further judged:

[0067] If the reliability matching value is greater than the preset reliability matching value threshold, a matching instruction is generated. When a matching instruction is generated, a preset control plan corresponding to the matching instruction is immediately executed to improve the reliability, continuity and stability of data collection of the monitoring equipment of the power supply terminal user;

[0068] If the reliability matching value is less than or equal to the preset reliability matching value threshold, a management instruction is generated. When the management instruction is generated, the preset warning operation corresponding to the management instruction is immediately executed to remind the management and control personnel to set a management and control plan to rationally control the power transfer terminal user monitoring equipment, so as to improve the reliability and continuity of the data collection of the power transfer terminal user monitoring equipment;

[0069] To summarize, the present invention analyzes the two points of operation interference and actual operation to understand the data acquisition reliability risk of the power transfer terminal user monitoring equipment, and divides the acquisition evaluation coefficient J obtained by analysis into relevant acquisition interference levels. On the one hand, it helps to intuitively understand the acquisition interference of the power transfer terminal user monitoring equipment, and on the other hand, it helps to provide data support for subsequent analysis to improve the accuracy of the data acquisition reliability analysis results. At the same time, it analyzes from the perspective of data transmission quality so as to manage and adjust the monitoring equipment transmission network so as to reduce the impact of the monitoring equipment on data acquisition so as to improve data acquisition reliability. The acquisition reliability risk assessment analysis is performed through information feedback and information fusion so as to rationally manage the power transfer terminal user monitoring equipment in a comprehensive manner according to the management and control plan so as to improve the reliability and continuity of data acquisition of the power transfer terminal user monitoring equipment.

[0070] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0071] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A data collection reliability control method based on power supply terminal users, characterized in that: The following steps are involved: Step 1: Collect the energy supply risk data and operation performance data of the terminal user monitoring equipment, and substitute the energy supply risk data into step 2 for collection interference risk assessment and analysis, and substitute the operation performance data into step 3 for actual collection status supervision assessment and analysis; Step 2: Collect and analyze the interference risk assessment of energy supply risk data, draw a coordinate system for the obtained stability risk index and dynamic interference value, and substitute the obtained state interference index into step 3; Step 3: Perform actual collection status supervision and evaluation analysis on the operation performance data, perform discriminant processing on the obtained collection evaluation coefficient J, and substitute the obtained collection status coefficient CJ into step 5; Step 4: Collect the timeliness risk data of the terminal user's monitoring equipment, and conduct a collection timeliness quality assessment and analysis on the timeliness risk data, and compare and analyze the obtained transmission quality index CC. If a risk signal is obtained, feedback management is provided, and the obtained transmission quality index CC is substituted into step 5; Step 5: Perform collection reliability risk assessment analysis through information feedback and progressive methods, and compare and analyze the obtained reliability assessment coefficient K. If an alarm signal is obtained, feedback management is performed. If a feedback instruction is obtained, matching control analysis is performed, and the obtained reliability matching value is judged and processed to obtain matching instructions and management instructions.

2. The data collection reliability control method based on power supply terminal users according to claim 1 is characterized in that: The collection interference risk assessment and analysis process is as follows: Set the monitoring period of power supply to users in the target area and set it as the time threshold. Divide the time threshold into i sub-time periods, where i is a natural number greater than zero. Obtain the energy supply risk data of the monitoring equipment of the power supply terminal users in each sub-time period. The energy supply risk data includes a stability risk index and a dynamic interference value. A rectangular coordinate system is established with the number of sub-time periods as the X-axis and the energy supply risk data as the Y-axis. The stability risk index curve and the dynamic interference value curve are drawn by plotting points. The overlapping area of ​​the stability risk index curve and the dynamic interference value curve with the area enclosed by the X-axis is obtained and set as the state interference index.

3. The data collection reliability control method based on power supply terminal users according to claim 2 is characterized in that: The stability risk index indicates the frequency of the instantaneous voltage data at the power supply end of the monitoring device exceeding the preset threshold during the sub-time period, and the instantaneous voltage data indicates the instantaneous voltage change value; the dynamic interference value indicates the proportion of the time corresponding to the environmental data of the environment in which the monitoring device is located exceeding the preset threshold during the sub-time period, and the environmental data includes ambient temperature and humidity.

4. The data collection reliability control method based on power supply terminal users according to claim 1 is characterized in that: The actual collection status supervision assessment analysis process is as follows: The operation performance data of the monitoring equipment within the time threshold is obtained. The operation performance data includes the operation deviation value and the acquisition interference index. The operation deviation value, the acquisition interference index and the state interference index are labeled as YP, CS and ZG respectively. According to the formula J = (YP×f1+CS×f2+ZG×f3) 2 The acquisition evaluation coefficient is obtained, wherein f1, f2 and f3 are respectively the preset weight factor coefficients of the operation deviation value, the acquisition interference index and the state interference index, f1, f2 and f3 are all greater than zero, J is the acquisition evaluation coefficient, and the acquisition evaluation coefficient J is compared and analyzed with the threshold E1 and threshold E2 stored internally, the threshold E1 is less than the threshold E2, and the acquisition state coefficient CJ is obtained, CJ = 1, 2, 3.

5. The data collection reliability control method based on power transfer terminal users according to claim 4 is characterized in that: The operation deviation value represents the maximum duration corresponding to the deviation of the actual operation parameters of the monitoring equipment from the preset threshold range, and the actual operation parameters include the operation voltage and the operation current; the acquisition interference index represents the sum of the values ​​of the part of the actual operation performance characteristics of the monitoring equipment that deviates from the preset threshold after data normalization processing, and the actual operation performance characteristics include the vibration amplitude and the operation temperature.

6. The data collection reliability control method based on power supply terminal users according to claim 1 is characterized in that: The collection timeliness quality assessment and analysis process is as follows: Obtain the timeliness risk data of the power supply terminal users within the time threshold. The timeliness risk data includes the acquisition deviation index and the transmission offset index. The acquisition deviation index and the transmission offset index are labeled as CP and CZ respectively. Substitute the acquisition deviation index CP and the transmission offset index CZ into the formula The timeliness risk impact coefficient is obtained, where a1 and a2 are the preset proportional factor coefficients of the acquisition deviation index and the transmission offset index respectively, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, C is the timeliness risk impact coefficient, and the timeliness risk impact coefficient C is compared and analyzed with the preset timeliness risk impact coefficient range entered and stored internally to obtain the transmission quality index CC, CC=2, 4, 6.

7. The data collection reliability control method based on power transfer terminal users according to claim 6 is characterized in that: The acquisition deviation index monitors the ratio of the proportion of delayed operation and maintenance times in the total operation and maintenance times of the transmission network of the equipment to the total number of optimization and update times of the transmission network after data normalization processing; The transmission deviation index indicates the portion of the transmission delay time effectiveness of the monitoring device transmission network that exceeds a preset threshold, and the transmission delay time effectiveness indicates the portion of the transmission delay value of the transmission network that exceeds a preset threshold.

8. The data collection reliability control method based on power supply terminal users according to claim 1 is characterized in that: The acquisition reliability risk assessment analysis process is as follows: Obtain the acquisition state coefficient CJ and transmission quality index CC of the power supply terminal user monitoring device within the threshold, and substitute the acquisition state coefficient CJ and transmission quality index CC into the formula K = (CJ×v1+CC×v2) 2 The reliability evaluation coefficient is obtained, where v1 and v2 are the acquisition state coefficient CJ and the transmission quality index CC error correction coefficient respectively, v1 and v2 are both greater than zero, K is the reliability evaluation coefficient, and the reliability evaluation coefficient K is compared and analyzed with the preset reliability evaluation coefficient threshold value stored in the internal input: If the reliability evaluation coefficient K is less than the preset reliability evaluation coefficient threshold, a feedback instruction is generated; If the reliability evaluation coefficient K is greater than or equal to the preset reliability evaluation coefficient threshold, an alarm signal is generated. When an alarm signal is generated, a preset early warning operation corresponding to the alarm signal is immediately performed; When the last feedback instruction is given, a rectangular coordinate system is established with time as the X-axis and the reliability evaluation coefficient K as the Y-axis. The reliability evaluation coefficient curve is drawn by plotting points, and the maximum value of the overlap rate between the reliability evaluation coefficient curve and the reliability evaluation coefficient curves of the same historical time threshold is set as the reliability matching value, where m is a natural number greater than zero. The reliability matching value is further judged: If the reliability matching value is greater than the preset reliability matching value threshold, a matching instruction is generated. When a matching instruction is generated, the preset control plan corresponding to the matching instruction is immediately executed; If the reliability matching value is less than or equal to the preset reliability matching value threshold, a management instruction is generated. When the management instruction is generated, the preset warning operation corresponding to the management instruction is immediately executed.

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