Remote state monitoring system and method for resistor cabinet

Abstract

The invention discloses a remote state monitoring system for a resistor cabinet, and relates to the technical field of remote state monitoring systems, the remote state monitoring system comprises a data acquisition module, a data receiving module, a delay detection module, a synchronous analysis module and a control analysis module, the data acquisition module acquires current data A, voltage data U and temperature data T when the resistor cabinet works, and the data receiving module receives the current data A, the voltage data U and the temperature data T; the method comprises the following steps: collecting a current data A, a voltage data U and a temperature data T, simultaneously collecting a timestamp At of the current data A, a timestamp Ut of the voltage data U and a timestamp Tt of the temperature data T, collecting position information and equipment model information of a corresponding resistor cabinet, finally compressing the collected data information into a data packet, and sending a timestamp t1 for sending the data packet and the data packet to a data receiving module; delay detection and synchronous detection are carried out on current data, voltage data and temperature data when the resistor cabinet works, data anomalies and network transmission anomalies are further comprehensively analyzed and screened out, targeted processing is carried out, and the accuracy of operation state parameters of the resistor cabinet is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of remote status monitoring systems, and in particular to a remote status monitoring system for a resistor cabinet and a method thereof. Background Art

[0002] In the power system, the resistor cabinet is a key equipment, and its operating status directly affects the stability and safety of the entire system. In order to ensure that the resistor cabinet can work continuously and efficiently, it is particularly important to monitor its various operating parameters in real time. In recent years, with the rapid development of Internet of Things technology, remote status monitoring systems have been widely used in the monitoring and management of resistor cabinets to achieve real-time data collection, transmission and analysis.

[0003] However, in practical applications, the remote status monitoring system of the resistor cabinet faces many problems. Among them, the problem of data transmission delay is particularly prominent. Since the operating environment of the resistor cabinet is often complex and changeable, and the data transmission path involves multiple network nodes and transmission media, this leads to a certain delay in the transmission of key data such as temperature, current, and voltage. This delay not only affects the real-time performance of the monitoring system, making it impossible for managers to obtain the latest operating status of the resistor cabinet in a timely manner, but also reduces the accuracy of the monitoring results due to the lag of the data.

[0004] In addition, the synchronous transmission and analysis of current, voltage and temperature parameter data is also an important part of the remote status monitoring system of the resistor cabinet. During the operation of the resistor cabinet, there is often a close correlation between the various parameters. Changes in current and voltage will cause fluctuations in the temperature inside the resistor cabinet. Therefore, in order to accurately evaluate the operating status of the resistor cabinet, these parameter data need to be synchronously collected, transmitted and analyzed. However, in actual operation, due to data transmission delays and network congestion, data synchronization is difficult to guarantee. This not only leads to inaccurate analysis results, but also misleads managers' judgment on the operating status of the resistor cabinet, thereby posing a threat to the safe and stable operation of the power system. Summary of the invention

[0005] In view of the above situation, the present invention performs delayed detection and synchronous detection on the current data, voltage data and temperature data of the resistor cabinet when it is working, and further comprehensively analyzes and screens out data anomalies and network transmission anomalies, makes targeted processing, and improves the accuracy of the operating status parameters of the resistor cabinet.

[0006] The technical solution is to include a data acquisition module, a data receiving module, a delay detection module, a synchronization analysis module, and a control analysis module. The data acquisition module collects the current data A, voltage data U, and temperature data T when the resistor cabinet is working, and collects the timestamp At of the current data A, the timestamp Ut of the voltage data U, and the timestamp Tt of the temperature data T, and collects the location information and equipment model information of the corresponding resistor cabinet. Finally, the collected data information is compressed into a data packet, and the timestamp t1 of the sending data packet and the data packet are sent to the data receiving module together; The data receiving module receives and parses the data packet, records the timestamp t2 of the received data packet, unifies the data dimension, calculates the transmission delay time Δt of the data packet in the network, that is, Δt = t2 - t1, and then calculates the data acquisition time differences Δt1, Δt2, and Δt3, where Δt1 = |At-Ut|, Δt2 = |At-Tt|, and Δt3 = |Ut-Tt|; The delay detection module extracts the network delay time threshold M from the database. If Δt is greater than or equal to M, it means that network delay occurs, changes the network transmission channel and / or starts the network acceleration tool to optimize the network, and calculates the network delay rate L at the same time. ,On the contrary, Δt is less than M, which means the network delay is normal; The synchronization analysis module extracts the data acquisition time difference threshold TH in the database. When any one of Δt1, Δt2, and Δt3 is greater than TH, it indicates that the timestamps of the acquired data are not synchronized, and the timestamps that are not synchronized are marked. When Δt1 and Δt2 are greater than TH, the timestamp At of the current data A is marked. When Δt1 and Δt3 are greater than TH, the timestamp Ut of the voltage data U is marked. When Δt2 and Δt3 are greater than TH, the timestamp Tt of the temperature data T is marked. At the same time, the synchronization error rates T1, T2, and T3 are calculated, where , , ,On the contrary, it means that the timestamp synchronization of the collected data is normal; The control analysis module calculates the data transmission impact value W, W=L×0.1+T1×0.2+T2×0.2+T3×0.5+ε, where ε represents the error correction value of the impact value W; If W is greater than 0.1, it means that the data transmission has a significant impact, and if W is less than or equal to 0.1, it means that the data transmission has a normal impact.

[0007] Further, the control analysis module calculates the data transmission impact value W, W=L×0.1+T1×0.2+T2×0.2+T3×0.5+ε, where ε represents the error correction value of the impact value W, when the network delay is normal, L is 0, when the timestamp At of the current data A is not marked as abnormal, T1 is 0, when the timestamp Ut of the voltage data U is not marked as abnormal, T2 is 0, and when the timestamp Tt of the temperature data T is not marked, T3 is 0; The control analysis module extracts the current data A1, voltage data U1, and temperature data TW1 collected at adjacent time stamps in the database, calculates the current data change value ΔA=|A1-A|, the voltage data change value ΔU=|U1-U|, the temperature data change value ΔT=|TW1-T|, and extracts the data change threshold in the database , , , respectively compare ΔA and , ΔU and , ΔT and , ΔA is greater than When , it indicates that the current data is abnormal, ΔU is greater than When , it indicates that the voltage data is abnormal, ΔT is greater than , indicating that the temperature data is abnormal. Otherwise, it means that the current data, voltage data and temperature data are normal.

[0008] Furthermore, it also includes a visual warning module, which receives W greater than 0.1 and is divided into three situations. In the first situation, when the current data, voltage data, and temperature data are all abnormal, it means that the network transmission is greatly affected, and the current data, voltage data, and temperature data are marked as abnormal data, and the network transmission channel is changed or the network acceleration tool is started to optimize the network until W is less than or equal to 0.1, and the data acquisition module is controlled to re-collect the current data, voltage data, and temperature data of the resistor cabinet when it is working; In the second case, when the current data, voltage data, and temperature data are all normal, it means that the network transmission is normal, and the marked timestamp and the unmarked timestamp are synchronized, that is, the unmarked timestamp replaces the marked timestamp in the database; In the third case, when any one or two of the current data, voltage data, and temperature data are abnormal, it means that the network transmission is affected. The corresponding current data, voltage data, and temperature data acquisition modules notify the corresponding personnel to perform maintenance. The normal current data, voltage data, and temperature data are presented visually, and the abnormal current data, voltage data, and temperature data are displayed as fault abnormalities until normal data is output.

[0009] Furthermore, when the visualization early warning module receives W less than or equal to 0.1, when the current data, voltage data, and temperature data are abnormal, it indicates that the network transmission is normal, and the corresponding current data, voltage data, and temperature data acquisition module notify the corresponding personnel to perform maintenance. The normal current data, voltage data, and temperature data are presented visually, and the abnormal current data, voltage data, and temperature data show fault abnormalities until normal data is output.

[0010] Furthermore, the control analysis module extracts the current data A1, voltage data U1, and temperature data TW1 collected at adjacent timestamps in the database, and the current data A1, voltage data U1, and temperature data TW1 collected at adjacent timestamps are used to detect normal current data, voltage data, and temperature data. When the normal data of the current data A1, voltage data U1, and temperature data TW1 at adjacent timestamps are incomplete or marked as abnormal, the current data A1, voltage data U1, and temperature data TW1 collected at the next timestamp are extracted according to the timestamp sequence.

[0011] Furthermore, the method is applied to the remote status monitoring system of the resistor cabinet, S1, collecting the current data A, voltage data U, and temperature data T of the resistor cabinet when it is working, and at the same time collecting the timestamp At of the current data A, the timestamp Ut of the voltage data U, and the timestamp Tt of the temperature data T, collecting the location information and equipment model information of the corresponding resistor cabinet, and finally compressing the collected data information into a data packet; S2, receives and parses the data packet, records the timestamp t2 of the received data packet, unifies the data dimension, calculates the transmission delay time Δt of the data packet in the network, that is, Δt = t2 - t1, and then calculates the data acquisition time difference Δt1, Δt2, Δt3, where Δt1=|At-Ut|, Δt2=|At-Tt|, Δt3=|Ut-Tt|; S3, extract the network delay time threshold M from the database. If Δt is greater than or equal to M, it means that network delay occurs. Change the network transmission channel or start the network acceleration tool to optimize the network. At the same time, calculate the network delay rate L. ,On the contrary, Δt is less than M, which means the network delay is normal; S4, extract the data acquisition time difference threshold TH in the database. When any one of Δt1, Δt2, and Δt3 is greater than TH, it means that the timestamps of the collected data are not synchronized. Mark the timestamps that are not synchronized. When Δt1 and Δt2 are greater than TH, mark the timestamp At of the current data A. When Δt1 and Δt3 are greater than TH, mark the timestamp Ut of the voltage data U. When Δt2 and Δt3 are greater than TH, mark the timestamp Tt of the temperature data T. At the same time, calculate the synchronization error rates T1, T2, and T3, where , , ,On the contrary, it means that the timestamp synchronization of the collected data is normal; S5, calculate the data transmission impact value W, W=L×0.1+T1×0.2+T2×0.2+T3×0.5+ε, where ε represents the error correction value of the impact value W, when the network delay is normal, L is 0, when the timestamp At of the current data A is not marked as abnormal, T1 is 0, when the timestamp Ut of the voltage data U is not marked as abnormal, T2 is 0, when the timestamp Tt of the temperature data T is not marked, T3 is 0; S6, when the visual warning module receives W less than or equal to 0.1, when the current data, voltage data, and temperature data are abnormal, it means that the network transmission is affected normally, and the corresponding current data, voltage data, and temperature data acquisition module notify the corresponding personnel to perform maintenance. The normal current data, voltage data, and temperature data are presented visually, and the abnormal current data, voltage data, and temperature data show the fault abnormality until the normal data is output.

[0012] Furthermore, when W is greater than 0.1, there are three cases. In the first case, when the current data, voltage data, and temperature data are all abnormal, it means that the network transmission is greatly affected. The current data, voltage data, and temperature data are marked as abnormal data, and the network transmission channel is changed or the network acceleration tool is started to optimize the network until W is less than or equal to 0.1, and the data acquisition module is controlled to re-collect the current data, voltage data, and temperature data of the resistor cabinet when it is working; In the second case, when the current data, voltage data, and temperature data are all normal, it means that the network transmission is normal, and the marked timestamp and the unmarked timestamp are synchronized, that is, the unmarked timestamp replaces the marked timestamp in the database; In the third case, when any one or two of the current data, voltage data, and temperature data are abnormal, it means that the network transmission is affected. The corresponding current data, voltage data, and temperature data acquisition modules notify the corresponding personnel to perform maintenance. The normal current data, voltage data, and temperature data are presented visually, and the abnormal current data, voltage data, and temperature data are displayed as fault abnormalities until normal data is output.

[0013] Due to the adoption of the above technical solution, the present invention has the following advantages compared with the prior art: 1. The delay detection module detects and analyzes the delay of the current data, voltage data, and temperature data when the resistor cabinet is working. At the same time, the synchronization analysis module further synchronizes the timestamp. The control analysis module calculates the data transmission impact value W, and comprehensively analyzes and screens out data anomalies and network transmission anomalies. Finally, the visual early warning module handles the network transmission impact and data anomalies in a targeted manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1The present invention is a flow chart of a remote status monitoring system for a resistor cabinet.

[0015] Figure 2 The present invention is a flow chart of a remote status monitoring method of a resistor cabinet. DETAILED DESCRIPTION

[0016] The above and other technical contents, features and effects of the present invention are described in detail below with reference to the attached Figure 1 to Figure 2 The detailed description of the embodiments will clearly show that the structural contents mentioned in the following embodiments are all based on the drawings in the specification.

[0017] In order to accurately analyze the data transmission delay and data synchronization status, improve the accuracy of the analysis results, and ensure the safe and stable operation of the power system, the present invention performs delay detection and synchronization detection on the current data, voltage data, and temperature data of the resistor cabinet when it is working, and further comprehensively analyzes and screens out data anomalies and network transmission anomalies.

[0018] Specifically, it includes a data acquisition module, a data receiving module, a delay detection module, a synchronization analysis module, and a control analysis module. The data acquisition module collects the current data A, voltage data U, and temperature data T when the resistance cabinet is working, and collects the timestamp At of the current data A, the timestamp Ut of the voltage data U, and the timestamp Tt of the temperature data T, collects the location information and equipment model information of the corresponding resistance cabinet, and finally compresses the collected data information into a data packet, and sends the timestamp t1 of the sending data packet and the data packet together to the data receiving module; The data receiving module receives and parses the data packet, records the timestamp t2 of the received data packet, unifies the data dimension, calculates the transmission delay time Δt of the data packet in the network, that is, Δt = t2 - t1, and then calculates the data acquisition time differences Δt1, Δt2, and Δt3, where Δt1 = |At-Ut|, Δt2 = |At-Tt|, and Δt3 = |Ut-Tt|; The delay detection module extracts the network delay time threshold M from the database. If Δt is greater than or equal to M, it means that network delay occurs, changes the network transmission channel and / or starts the network acceleration tool to optimize the network, and calculates the network delay rate L at the same time. ,On the contrary, Δt is less than M, which means the network delay is normal; The synchronization analysis module extracts the data acquisition time difference threshold TH in the database. When any one of Δt1, Δt2, and Δt3 is greater than TH, it indicates that the timestamps of the acquired data are not synchronized, and the timestamps that are not synchronized are marked. When Δt1 and Δt2 are greater than TH, the timestamp At of the current data A is marked. When Δt1 and Δt3 are greater than TH, the timestamp Ut of the voltage data U is marked. When Δt2 and Δt3 are greater than TH, the timestamp Tt of the temperature data T is marked. At the same time, the synchronization error rates T1, T2, and T3 are calculated, where , , ,On the contrary, it means that the timestamp synchronization of the collected data is normal; The control analysis module calculates the data transmission impact value W, W=L×0.1+T1×0.2+T2×0.2+T3×0.5+ε, where ε represents the error correction value of the impact value W; If W is greater than 0.1, it means that the data transmission has a significant impact, and if W is less than or equal to 0.1, it means that the data transmission has a normal impact.

[0019] Further, the control analysis module calculates the data transmission impact value W, W=L×0.1+T1×0.2+T2×0.2+T3×0.5+ε, where ε represents the error correction value of the impact value W, when the network delay is normal, L is 0, when the timestamp At of the current data A is not marked as abnormal, T1 is 0, when the timestamp Ut of the voltage data U is not marked as abnormal, T2 is 0, and when the timestamp Tt of the temperature data T is not marked, T3 is 0; The control analysis module extracts the current data A1, voltage data U1, and temperature data TW1 collected at adjacent time stamps in the database, calculates the current data change value ΔA=|A1-A|, the voltage data change value ΔU=|U1-U|, the temperature data change value ΔT=|TW1-T|, and extracts the data change threshold in the database , , , respectively compare ΔA and , ΔU and , ΔT and , ΔA is greater than When , it indicates that the current data is abnormal, ΔU is greater than When , it indicates that the voltage data is abnormal, ΔT is greater than , indicating that the temperature data is abnormal. Otherwise, it means that the current data, voltage data and temperature data are normal.

[0020] Furthermore, it also includes a visual warning module, which receives W greater than 0.1 and is divided into three situations. In the first situation, when the current data, voltage data, and temperature data are all abnormal, it means that the network transmission is greatly affected, and the current data, voltage data, and temperature data are marked as abnormal data, and the network transmission channel is changed or the network acceleration tool is started to optimize the network until W is less than or equal to 0.1, and the data acquisition module is controlled to re-collect the current data, voltage data, and temperature data of the resistor cabinet when it is working; In the second case, when the current data, voltage data, and temperature data are all normal, it means that the network transmission is normal, and the marked timestamp and the unmarked timestamp are synchronized, that is, the unmarked timestamp replaces the marked timestamp in the database; In the third case, when any one or two of the current data, voltage data, and temperature data are abnormal, it means that the network transmission is affected. The corresponding current data, voltage data, and temperature data acquisition modules notify the corresponding personnel to perform maintenance. The normal current data, voltage data, and temperature data are presented visually, and the abnormal current data, voltage data, and temperature data are displayed as fault abnormalities until normal data is output.

[0021] Furthermore, when the visualization early warning module receives W less than or equal to 0.1, when the current data, voltage data, and temperature data are abnormal, it indicates that the network transmission is normal, and the corresponding current data, voltage data, and temperature data acquisition module notify the corresponding personnel to perform maintenance. The normal current data, voltage data, and temperature data are presented visually, and the abnormal current data, voltage data, and temperature data show fault abnormalities until normal data is output.

[0022] Furthermore, the control analysis module extracts the current data A1, voltage data U1, and temperature data TW1 collected at adjacent timestamps in the database, and the current data A1, voltage data U1, and temperature data TW1 collected at adjacent timestamps are used to detect normal current data, voltage data, and temperature data. When the normal data of the current data A1, voltage data U1, and temperature data TW1 at adjacent timestamps are incomplete or marked as abnormal, the current data A1, voltage data U1, and temperature data TW1 collected at the next timestamp are extracted according to the timestamp sequence.

[0023] Furthermore, the method is applied to the remote status monitoring system of the resistor cabinet, S1, collecting the current data A, voltage data U, and temperature data T of the resistor cabinet when it is working, and at the same time collecting the timestamp At of the current data A, the timestamp Ut of the voltage data U, and the timestamp Tt of the temperature data T, collecting the location information and equipment model information of the corresponding resistor cabinet, and finally compressing the collected data information into a data packet; S2, receives and parses the data packet, records the timestamp t2 of the received data packet, unifies the data dimension, calculates the transmission delay time Δt of the data packet in the network, that is, Δt = t2 - t1, and then calculates the data acquisition time difference Δt1, Δt2, Δt3, where Δt1=|At-Ut|, Δt2=|At-Tt|, Δt3=|Ut-Tt|; S3, extract the network delay time threshold M from the database. If Δt is greater than or equal to M, it means that network delay occurs. Change the network transmission channel or start the network acceleration tool to optimize the network. At the same time, calculate the network delay rate L. ,On the contrary, Δt is less than M, which means the network delay is normal; S4, extract the data acquisition time difference threshold TH in the database. When any one of Δt1, Δt2, and Δt3 is greater than TH, it means that the timestamps of the collected data are not synchronized. Mark the timestamps that are not synchronized. When Δt1 and Δt2 are greater than TH, mark the timestamp At of the current data A. When Δt1 and Δt3 are greater than TH, mark the timestamp Ut of the voltage data U. When Δt2 and Δt3 are greater than TH, mark the timestamp Tt of the temperature data T. At the same time, calculate the synchronization error rates T1, T2, and T3, where , , ,On the contrary, it means that the timestamp synchronization of the collected data is normal; S5, calculate the data transmission impact value W, W=L×0.1+T1×0.2+T2×0.2+T3×0.5+ε, where ε represents the error correction value of the impact value W, when the network delay is normal, L is 0, when the timestamp At of the current data A is not marked as abnormal, T1 is 0, when the timestamp Ut of the voltage data U is not marked as abnormal, T2 is 0, when the timestamp Tt of the temperature data T is not marked, T3 is 0; S6, when the visual warning module receives W less than or equal to 0.1, when the current data, voltage data, and temperature data are abnormal, it means that the network transmission is affected normally, and the corresponding current data, voltage data, and temperature data acquisition module notify the corresponding personnel to perform maintenance. The normal current data, voltage data, and temperature data are presented visually, and the abnormal current data, voltage data, and temperature data show the fault abnormality until the normal data is output.

[0024] Furthermore, when W is greater than 0.1, there are three cases. In the first case, when the current data, voltage data, and temperature data are all abnormal, it means that the network transmission is greatly affected. The current data, voltage data, and temperature data are marked as abnormal data, and the network transmission channel is changed or the network acceleration tool is started to optimize the network until W is less than or equal to 0.1, and the data acquisition module is controlled to re-collect the current data, voltage data, and temperature data of the resistor cabinet when it is working; In the second case, when the current data, voltage data, and temperature data are all normal, it means that the network transmission is normal, and the marked timestamp and the unmarked timestamp are synchronized, that is, the unmarked timestamp replaces the marked timestamp in the database; In the third case, when any one or two of the current data, voltage data, and temperature data are abnormal, it means that the network transmission is affected. The corresponding current data, voltage data, and temperature data acquisition modules notify the corresponding personnel to perform maintenance. The normal current data, voltage data, and temperature data are presented visually, and the abnormal current data, voltage data, and temperature data are displayed as fault abnormalities until normal data is output.

[0025] When the present invention is used specifically, on the basis of the prior art, the current data A, voltage data U, and temperature data T of the resistance cabinet are collected when the resistance cabinet is working, and the timestamp At of the current data A, the timestamp Ut of the voltage data U, and the timestamp Tt of the temperature data T are collected at the same time, and the location information and equipment model information of the corresponding resistance cabinet are collected, and finally the collected data information is compressed into a data packet; Receive and parse the data packet, record the timestamp t2 of the received data packet, unify the data dimension, calculate the transmission delay time Δt of the data packet in the network, that is, Δt = t2 - t1, and then calculate the data acquisition time difference Δt1, Δt2, Δt3, where Δt1=|At-Ut|, Δt2=|At-Tt|, Δt3=|Ut-Tt|; Extract the network delay time threshold M from the database. If Δt is greater than or equal to M, it means that network delay occurs. Change the network transmission channel or start the network acceleration tool to optimize the network. At the same time, calculate the network delay rate L. ,On the contrary, Δt is less than M, which means the network delay is normal; Extract the data acquisition time difference threshold TH from the database. When any one of Δt1, Δt2, and Δt3 is greater than TH, it means that the timestamps of the collected data are not synchronized. Mark the timestamps that are not synchronized. When Δt1 and Δt2 are greater than TH, mark the timestamp At of the current data A. When Δt1 and Δt3 are greater than TH, mark the timestamp Ut of the voltage data U. When Δt2 and Δt3 are greater than TH, mark the timestamp Tt of the temperature data T. At the same time, calculate the synchronization error rates T1, T2, and T3. , , ,On the contrary, it means that the timestamp synchronization of the collected data is normal; Calculate the data transmission impact value W, W=L×0.1+T1×0.2+T2×0.2+T3×0.5+ε, where ε represents the error correction value of the impact value W. When the network delay is normal, L is 0. When the timestamp At of the current data A is not marked as abnormal, T1 is 0. When the timestamp Ut of the voltage data U is not marked as abnormal, T2 is 0. When the timestamp Tt of the temperature data T is not marked, T3 is 0. When the visualization early warning module receives W less than or equal to 0.1, when the current data, voltage data, and temperature data are abnormal, it means that the network transmission is normal. The corresponding current data, voltage data, and temperature data acquisition module notify the corresponding personnel to perform maintenance. The normal current data, voltage data, and temperature data are presented visually, and the abnormal current data, voltage data, and temperature data show the fault abnormality until the normal data is output. The current data, voltage data, and temperature data of the resistor cabinet when working are delayed and synchronously detected, and further comprehensive analysis is performed to screen out data abnormalities and network transmission abnormalities, and targeted processing is made to improve the accuracy of the operating status parameters of the resistor cabinet.

[0026] The above is a further detailed description of the present invention in combination with a specific implementation method, and it cannot be determined that the specific implementation of the present invention is limited to this; for technical personnel in the technical field to which the present invention belongs and related technical fields, based on the technical solution of the present invention, the expansion and replacement of operating methods and data should all fall within the protection scope of the present invention.

Claims

1. A remote status monitoring system for a resistor cabinet, characterized in that: It includes a data acquisition module, a data receiving module, a delay detection module, a synchronization analysis module, and a control analysis module. The data acquisition module collects the current data A, voltage data U, and temperature data T when the resistance cabinet is working, and collects the timestamp At of the current data A, the timestamp Ut of the voltage data U, and the timestamp Tt of the temperature data T, collects the location information and equipment model information of the corresponding resistance cabinet, and finally compresses the collected data information into a data packet, and sends the timestamp t1 of the sending data packet and the data packet to the data receiving module together; The data receiving module receives and parses the data packet, records the timestamp t2 of the received data packet, unifies the data dimension, calculates the transmission delay time Δt of the data packet in the network, that is, Δt = t2 - t1, and then calculates the data acquisition time differences Δt1, Δt2, and Δt3, where Δt1 = |At-Ut|, Δt2 = |At-Tt|, and Δt3 = |Ut-Tt|; The delay detection module extracts the network delay time threshold M from the database. If Δt is greater than or equal to M, it means that network delay occurs, changes the network transmission channel and / or starts the network acceleration tool to optimize the network, and calculates the network delay rate L at the same time. ,On the contrary, Δt is less than M, which means the network delay is normal; The synchronization analysis module extracts the data acquisition time difference threshold TH in the database. When any one of Δt1, Δt2, and Δt3 is greater than TH, it indicates that the timestamps of the acquired data are not synchronized, and the timestamps that are not synchronized are marked. When Δt1 and Δt2 are greater than TH, the timestamp At of the current data A is marked. When Δt1 and Δt3 are greater than TH, the timestamp Ut of the voltage data U is marked. When Δt2 and Δt3 are greater than TH, the timestamp Tt of the temperature data T is marked. At the same time, the synchronization error rates T1, T2, and T3 are calculated, where , , ,On the contrary, it means that the timestamp synchronization of the collected data is normal; The control analysis module calculates the data transmission impact value W, W=L×0.1+T1×0.2+T2×0.2+T3×0.5+ε, where ε represents the error correction value of the impact value W; If W is greater than 0.1, it means that the data transmission has a significant impact, and if W is less than or equal to 0.1, it means that the data transmission has a normal impact.

2. According to claim 1, a remote status monitoring system for a resistor cabinet is characterized in that: The control analysis module calculates the data transmission impact value W, W=L×0.1+T1×0.2+T2×0.2+T3×0.5+ε, where ε represents the error correction value of the impact value W, when the network delay is normal, L is 0, when the timestamp At of the current data A is not marked as abnormal, T1 is 0, when the timestamp Ut of the voltage data U is not marked as abnormal, T2 is 0, and when the timestamp Tt of the temperature data T is not marked, T3 is 0; The control analysis module extracts the current data A1, voltage data U1, and temperature data TW1 collected at adjacent time stamps in the database, calculates the current data change value ΔA=|A1-A|, the voltage data change value ΔU=|U1-U|, the temperature data change value ΔT=|TW1-T|, and extracts the data change threshold in the database , , , respectively compare ΔA and , ΔU and , ΔT and , ΔA is greater than When , it indicates that the current data is abnormal, ΔU is greater than When , it indicates that the voltage data is abnormal, ΔT is greater than , indicating that the temperature data is abnormal. Otherwise, it means that the current data, voltage data and temperature data are normal.

3. According to the remote status monitoring system of the resistor cabinet of claim 2, it is characterized in that: It also includes a visual warning module. The visual warning module receives W greater than 0.1 and divides it into three situations. In the first situation, when the current data, voltage data, and temperature data are all abnormal, it means that the network transmission is greatly affected. The current data, voltage data, and temperature data are marked as abnormal data, and the network transmission channel is changed or the network acceleration tool is started to optimize the network. Until W is less than or equal to 0.1, the data acquisition module is controlled to re-collect the current data, voltage data, and temperature data of the resistor cabinet when it is working; In the second case, when the current data, voltage data, and temperature data are all normal, it means that the network transmission is normal, and the marked timestamp and the unmarked timestamp are synchronized, that is, the unmarked timestamp replaces the marked timestamp in the database; In the third case, when any one or two of the current data, voltage data, and temperature data are abnormal, it means that the network transmission is affected. The corresponding current data, voltage data, and temperature data acquisition modules notify the corresponding personnel to perform maintenance. The normal current data, voltage data, and temperature data are presented visually, and the abnormal current data, voltage data, and temperature data are displayed as fault abnormalities until normal data is output.

4. According to the remote status monitoring system of the resistor cabinet of claim 3, it is characterized in that: When the visualization early warning module receives W less than or equal to 0.1, when the current data, voltage data, and temperature data are abnormal, it means that the network transmission is affected normally. The corresponding current data, voltage data, and temperature data acquisition module notifies the corresponding personnel to perform maintenance. The normal current data, voltage data, and temperature data are presented visually, and the abnormal current data, voltage data, and temperature data show the fault abnormality until the normal data is output.

5. According to the remote status monitoring system of the resistor cabinet of claim 2, it is characterized in that: The control analysis module extracts the current data A1, voltage data U1, and temperature data TW1 collected at adjacent timestamps in the database. The current data A1, voltage data U1, and temperature data TW1 collected at adjacent timestamps are used to detect normal current data, voltage data, and temperature data. When the normal data of the current data A1, voltage data U1, and temperature data TW1 at adjacent timestamps are incomplete or marked as abnormal, the current data A1, voltage data U1, and temperature data TW1 collected at the next timestamp are extracted according to the timestamp sequence.

6. A remote state monitoring method for a resistor cabinet, characterized in that: The method is applied to a remote status monitoring system of a resistor cabinet as described in any one of claims 1 to 5, S1, collecting current data A, voltage data U, and temperature data T when the resistor cabinet is working, and at the same time collecting the timestamp At of the current data A, the timestamp Ut of the voltage data U, and the timestamp Tt of the temperature data T, collecting the location information and equipment model information of the corresponding resistor cabinet, and finally compressing the collected data information into a data packet; S2, receives and parses the data packet, records the timestamp t2 of the received data packet, unifies the data dimension, calculates the transmission delay time Δt of the data packet in the network, that is, Δt = t2 - t1, and then calculates the data acquisition time difference Δt1, Δt2, Δt3, where Δt1=|At-Ut|, Δt2=|At-Tt|, Δt3=|Ut-Tt|; S3, extract the network delay time threshold M from the database. If Δt is greater than or equal to M, it means that network delay occurs. Change the network transmission channel or start the network acceleration tool to optimize the network. At the same time, calculate the network delay rate L. ,On the contrary, Δt is less than M, which means the network delay is normal; S4, extract the data acquisition time difference threshold TH in the database. When any one of Δt1, Δt2, and Δt3 is greater than TH, it means that the timestamps of the collected data are not synchronized. Mark the timestamps that are not synchronized. When Δt1 and Δt2 are greater than TH, mark the timestamp At of the current data A. When Δt1 and Δt3 are greater than TH, mark the timestamp Ut of the voltage data U. When Δt2 and Δt3 are greater than TH, mark the timestamp Tt of the temperature data T. At the same time, calculate the synchronization error rates T1, T2, and T3, where , , ,On the contrary, it means that the timestamp synchronization of the collected data is normal; S5, calculate the data transmission impact value W, W=L×0.1+T1×0.2+T2×0.2+T3×0.5+ε, where ε represents the error correction value of the impact value W, when the network delay is normal, L is 0, when the timestamp At of the current data A is not marked as abnormal, T1 is 0, when the timestamp Ut of the voltage data U is not marked as abnormal, T2 is 0, when the timestamp Tt of the temperature data T is not marked, T3 is 0; S6, when the visual warning module receives W less than or equal to 0.1, when the current data, voltage data, and temperature data are abnormal, it means that the network transmission is affected normally, and the corresponding current data, voltage data, and temperature data acquisition module notify the corresponding personnel to perform maintenance. The normal current data, voltage data, and temperature data are presented visually, and the abnormal current data, voltage data, and temperature data show the fault abnormality until the normal data is output.

7. A remote state monitoring method for a resistor cabinet according to claim 6, characterized in that: There are three cases when the received W is greater than 0.

1. In the first case, when the current data, voltage data, and temperature data are all abnormal, it means that the network transmission is greatly affected. The current data, voltage data, and temperature data are marked as abnormal data, and the network transmission channel is changed or the network acceleration tool is started to optimize the network until W is less than or equal to 0.

1. The data acquisition module is controlled to re-collect the current data, voltage data, and temperature data of the resistor cabinet when it is working; In the second case, when the current data, voltage data, and temperature data are all normal, it means that the network transmission is normal, and the marked timestamp and the unmarked timestamp are synchronized, that is, the unmarked timestamp replaces the marked timestamp in the database; In the third case, when any one or two of the current data, voltage data, and temperature data are abnormal, it means that the network transmission is affected. The corresponding current data, voltage data, and temperature data acquisition modules notify the corresponding personnel to perform maintenance. The normal current data, voltage data, and temperature data are presented visually, and the abnormal current data, voltage data, and temperature data are displayed as fault abnormalities until normal data is output.

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