A substation secondary equipment online monitoring and intelligent diagnosis system and method based on multi-parameter perception

Abstract

This invention relates to the field of power equipment, specifically to an online monitoring and intelligent diagnostic system for substation secondary equipment based on multi-parameter sensing. The system includes: an intelligent diagnostic host, connected to secondary equipment within the substation via a communication interface, capturing indicator light status, device operating parameters, and communication messages; a pressure plate management host, communicatively connected to the intelligent diagnostic host, monitoring the status of hard and soft pressure plates in real time, performing error prevention verification, and implementing programmed management; and a remote-controlled hard pressure plate, deployed in the output circuit of the protection device, connected to the pressure plate management host via a control link, performing remote activation / deactivation operations of the protection output circuit. By introducing the intelligent diagnostic host and a multi-parameter sensing and discrimination module for synchronous extraction of multi-source heterogeneous data, a panoramic analysis of the status characteristics of secondary equipment is achieved, thereby improving the accuracy of diagnosing hidden equipment defects and the overall monitoring coverage.

Description

Technical Field

[0001] This invention relates to the field of power equipment technology, specifically to an online monitoring and intelligent diagnosis system and method for substation secondary equipment based on multi-parameter sensing. Background Technology

[0002] With the deepening of smart grid construction, the reliable operation of secondary equipment in power systems is crucial to grid security. Substation secondary equipment encompasses relay protection devices, measurement and control units, and related communication networks. Its core function is to monitor the real-time operating status of primary equipment and provide rapid control and protection in the event of a fault. Online monitoring and intelligent diagnostic technologies, as fundamental components ensuring the stable operation of these devices, rely on the collection of multi-dimensional operating parameters to achieve early detection of abnormal states and functional assessment.

[0003] Currently, power supply companies widely use traditional isolated monitoring mechanisms and manual inspection modes in their secondary equipment operation and maintenance systems. Conventional online monitoring systems tend to focus on single-dimensional feature extraction, such as simply relying on process-level network capture of MMS or GOOSE communication messages for analysis, or only extracting basic voltage and current data from secondary circuits. Under this technical approach, maintenance personnel still need to go to the site in person to perform time-consuming and laborious work such as meter reading, panel indicator light verification, and recording the actual location of physical pressure plates. This inspection mode, which relies heavily on manual experience, exposes significant limitations when faced with the massive amount of protection equipment in modern substations.

[0004] Existing technologies struggle to meet the demands of new digital services such as one-click sequential control and remote intelligent inspection. The crux of the problem lies in the failure to achieve underlying data fusion due to the multi-source, heterogeneous nature of secondary equipment status variables. Existing systems face technical barriers such as incomplete data acquisition and poor time synchronization of various parameters. In particular, the lack of in-depth cross-analysis of the correlation between physical pressure plate status, visual indicator signals, and underlying communication logic hinders breakthroughs in the accuracy of equipment status assessment and anomaly warning. Conventional methods, lacking trend prediction algorithms based on multi-dimensional data, often only trigger passive alarms after physical equipment failure, failing to identify signs of performance degradation in advance, and unable to provide highly reliable physical loop feedback data support for one-click sequential control of the power grid. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an online monitoring and intelligent diagnostic system and method for substation secondary equipment based on multi-parameter sensing, which solves the technical problems of existing technologies, such as single monitoring dimensions of secondary equipment, lack of trend prediction capabilities, and inability to provide safe physical closed-loop support for one-click sequential control.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an online monitoring and intelligent diagnostic system for substation secondary equipment based on multi-parameter sensing, comprising: The intelligent diagnostic host connects to the secondary equipment in the substation via a communication interface to capture indicator light status, device operating parameters, and communication messages. The pressure plate management host is connected to the intelligent diagnostic host to monitor the status of hard and soft pressure plates in real time, perform error prevention verification, and implement programmed management. The remote-controlled hard plate is deployed in the output circuit of the protection device and is connected to the plate management host through a control link to perform remote activation and deactivation operations of the protection output circuit.

[0007] Preferably, the intelligent diagnostic host has a built-in multi-parameter sensing and discrimination module that simultaneously extracts physical layer signals and logic layer data from the secondary equipment. The physical layer signals include the on / off status of panel indicator lights sensed by image recognition or sensors, and the logic layer data includes MMS and GOOSE messages based on the IEC 61850 protocol.

[0008] Preferably, the pressure plate management host is configured with consistency verification logic, which retrieves the physical location information reported by the remote-controlled hard pressure plate and compares it with the logic status of the soft pressure plate issued by the scheduling terminal. If the logic does not match, an abnormal warning signal is triggered.

[0009] Preferably, the remote-controlled hard plate integrates a status feedback probe, which provides real-time feedback on the physical open / closed position of the plate after the action is executed, supporting the closed-loop judgment criteria for one-button sequential control operation of the substation.

[0010] This invention also provides a method for online monitoring and intelligent diagnosis of substation secondary equipment based on multi-parameter sensing, comprising the following steps: The intelligent diagnostic host and sensor array collect operating parameters of secondary equipment and acquire multi-source heterogeneous raw data including the physical status of the pressure plate, indicator light signals and internal self-test information of the device. A differentiated comparison strategy was adopted to analyze the collected data from multiple dimensions, and evaluation models at different time scales were established based on the characteristics of the state variables. Based on the evaluation model, the deviation trajectory of the equipment's operating parameters is captured, performance degradation signs are identified, and trend-aware prediction results are generated. The system pushes real-time monitoring data on the physical status of the pressure plate and the normal operating indicators of the equipment to the one-click sequential control platform to assist in confirming the remote engagement and disengagement operation logic.

[0011] Preferably, the differentiated comparison strategy is as follows: dynamically compare the physical location and logical loop consistency of the real-time jumping digital quantity, and use the sliding time window analysis method to compare the trend of the continuously fluctuating analog quantity with the preset historical health baseline.

[0012] Preferably, when generating trend perception prediction results, the degree of hardware performance degradation of the secondary equipment is determined based on the frequency of occurrence of the self-test code inside the protection device and the variance of communication message delay jitter.

[0013] Preferably, within the one-click sequential control platform, the pressure plate management host sends control commands to the remote-controlled hard pressure plate, simultaneously monitors the changes in electrical parameters fed back by the remote-controlled hard pressure plate, and confirms the remote inspection operation in a closed loop.

[0014] Preferably, the multi-parameter perception and discrimination technology classifies secondary equipment into four status levels: normal, attention, abnormal, and severe, and generates differentiated operation and maintenance strategies.

[0015] Preferably, electrical isolation interlocking logic is established by using real-time feedback of the status of the remote-controlled hard plate to avoid unexpected actions during equipment maintenance.

[0016] This invention provides an online monitoring and intelligent diagnostic system and method for substation secondary equipment based on multi-parameter sensing. It has the following beneficial effects: 1. This invention introduces an intelligent diagnostic host and a multi-parameter sensing and discrimination module to synchronously extract multi-source heterogeneous data. It deeply integrates and correlates the conventionally isolated panel indicator signals, underlying MMS / GOOSE communication messages, and pressure plate physical location data, breaking down the information silos between different monitoring dimensions in the substation. This enables panoramic analysis of the status characteristics of secondary equipment, thereby significantly improving the accuracy of diagnosing hidden defects in equipment and the overall monitoring coverage.

[0017] 2. This invention uses a pressure plate management host to issue activation / deactivation commands to remote-controlled hard pressure plates and simultaneously receives the actual physical location data reported by their status probes. In the remote operation of substations, a hard closed-loop verification mechanism is constructed that achieves complete physical and electrical isolation from the issuance of logical commands. This completely eliminates the blind spots of misoperation caused by relying solely on software logic to judge the status of soft pressure plates. It provides a highly reliable and substantial safety isolation criterion for one-click sequential control and remote intelligent panoramic inspection of substations.

[0018] 3. This invention formulates matching and differentiated comparison strategies for different types of operating parameters, enabling the system to perform strict physical and logical consistency to prevent false interception of real-time digital quantities. At the same time, it uses a sliding time window to perform historical benchmark tracing calculations for continuously fluctuating analog quantities, giving the diagnostic model the ability to keenly capture the subtle deviation trajectory of early equipment performance. This successfully transforms the operation and maintenance management mode of secondary equipment from passive emergency repair and disaster relief after a fault occurs to predictive trend-oriented operation and maintenance based on multi-dimensional data in-depth mining. Attached Figure Description

[0019] Figure 1 This is a diagram of the online monitoring and intelligent diagnostic system architecture of the present invention; Figure 2This is a flowchart of the multi-parameter sensing and diagnosis method of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example

[0021] like Figure 1 As shown, this embodiment of the invention provides an online monitoring and intelligent diagnostic system for substation secondary equipment based on multi-parameter sensing, comprising: The intelligent diagnostic host connects to the secondary equipment in the substation via a communication interface to capture indicator light status, device operating parameters, and communication messages. The pressure plate management host is connected to the intelligent diagnostic host to monitor the status of hard and soft pressure plates in real time, perform error prevention verification, and implement programmed management. The remote-controlled hard plate is deployed in the output circuit of the protection device and is connected to the plate management host through a control link to perform remote activation and deactivation operations of the protection output circuit.

[0022] The substation secondary equipment online monitoring and intelligent diagnostic system is deployed in the secondary control room and control center. The intelligent diagnostic host connects to the station control layer and process layer switches to obtain a panoramic view of equipment operation. The pressure plate management host is used for loop isolation control and is directly connected to the end-effectors. The system components are decoupled in hardware architecture, but highly integrated and interactive in software data flow.

[0023] The intelligent diagnostic host has a built-in multi-parameter sensing and discrimination module that simultaneously extracts physical layer signals and logic layer data from secondary equipment. The physical layer signals include the on / off status of panel indicator lights sensed by image recognition or sensors, and the logic layer data includes MMS and GOOSE messages based on the IEC 61850 protocol.

[0024] The host computer uses a high-definition camera and photoelectric sensors to extract the on / off status and frequency of the indicator lights on the protection device panel. A built-in deep packet inspection engine parses IEC 61850 standard MMS reports, GOOSE status change messages, and SV sample values. The discrimination module binds and encapsulates photoelectric visual signals and low-level network packets with the same timestamp to generate a high-dimensional master device health feature tensor.

[0025] The pressure plate management host is configured with consistency verification logic, which retrieves the physical location information reported by the remote-controlled hard pressure plate and compares it with the logic status of the soft pressure plate issued by the scheduling terminal. If the logic does not match, an abnormal warning signal is triggered.

[0026] The pressure plate management host has a fixed, programmed operation system to prevent errors. The host extracts the soft pressure plate's activation / deactivation status from the scheduling background and cross-verifies it with the hard pressure plate data from the remote control network. The consistency check logic identifies defects where the soft pressure plate is activated but the hard pressure plate is not in place due to mechanical jamming. If the verification fails, the pressure plate management host will immediately send an abnormality warning signal to the central control station via MMS communication, blocking the linkage control process.

[0027] The remote-controlled hard plate integrates a status feedback probe, which provides real-time feedback on the physical opening and closing position of the plate after the action is executed, supporting the closed-loop judgment criteria for one-button sequential control operation in the substation.

[0028] The remote-controlled hard switch is connected in series with the output control trip circuit of the measurement and control or protection device. The miniature servo motor receives the activation / deactivation message command from the switch management host and completes the closing and opening actions of the physical contacts. The remote-controlled hard switch internally encapsulates a high-precision limit switch and a status feedback probe. When the action is completed, the probe immediately collects the level change information of the contact and transmits it back to the management host. Example

[0029] like Figure 2 As shown, this embodiment of the invention provides a method for online monitoring and intelligent diagnosis of substation secondary equipment based on multi-parameter sensing, including the following steps: Step S1: Initiate concurrent acquisition of multi-dimensional running data. The intelligent diagnostic host activates various sensor arrays, intensively capturing operational parameters of the protection devices and related communication links. The data collected includes the physical opening and closing status of the hard pressure plates distributed on-site, the codes displayed on the protection device's LCD screen, the flashing cycle of indicator lights, as well as internal self-test information periodically output by the device's CPU and the luminous power data of the optical modules. This multi-source heterogeneous data is normalized, cleaned, and timestamped in the host's memory, uniformly constructing a standardized digital twin base.

[0030] Step S2: Introduce a differentiated comparison strategy to conduct a status assessment. A differentiated comparison strategy is employed to analyze collected data from multiple dimensions. For real-time fluctuating digital characteristics such as pressure plate input and protection output status, the system performs a dynamic comparison of physical location and logical loop consistency without delay. Any millisecond-level mismatch in status bits is identified as an abnormal event. For continuously fluctuating analog quantities such as optical module transmit / receive power, CPU operating temperature, and message latency jitter, the algorithm uses a sliding time window analysis method to extract the mean and variance of features within the current time window. These are then mapped to a coordinate system that includes historical baselines of device health for trend correlation comparison.

[0031] Step S3: Perform multi-parameter joint diagnosis and deep trend perception prediction. The system comprehensively evaluates the statistical frequency of self-test error codes within the protection device, the increase rate of data packet jitter in the network link, and the amplitude of motor resistance current changes during remote control hard plate operation. Using these multi-dimensional combined characteristics, it calculates the expected remaining service life of the equipment, accurately determining the degradation process at the hardware level of the secondary equipment. Based on the severity of the trend prediction results, the system automatically and clearly classifies the status of all monitored secondary equipment into four levels: normal, warning, abnormal, and severe, while simultaneously outputting differentiated maintenance work order suggestions containing targeted troubleshooting steps.

[0032] Step S4: Secure physical closed-loop verification to support one-click sequential control business. When performing complex programmed controls such as full-station power outages and restorations in a substation, the one-click sequential control platform requests equipment status criteria from this system at each transition node. After the control panel management host takes over, it sends an execution message to the remote-controlled hard control panel. Once the remote-controlled hard control panel has completed its action, its status feedback probe captures the actual change in electrical connectivity and immediately sends an acknowledgment packet back to the management host. Based on this, the system pushes a highly reliable physical hard isolation success signal back to the sequential control platform. In subsequent equipment maintenance procedures, this real-time feedback mechanism, in conjunction with the interlocking program within the management host, constructs an electrical isolation defense line, fundamentally preventing unexpected safety accidents caused by accidental touches or network corruption.

[0033] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A substation secondary equipment online monitoring and intelligent diagnostic system based on multi-parameter sensing, characterized in that, include: The intelligent diagnostic host connects to the secondary equipment in the substation via a communication interface to capture indicator light status, device operating parameters, and communication messages. The pressure plate management host is connected to the intelligent diagnostic host to monitor the status of hard and soft pressure plates in real time, perform error prevention verification, and implement programmed management. The remote-controlled hard plate is deployed in the output circuit of the protection device and is connected to the plate management host through a control link to perform remote activation and deactivation operations of the protection output circuit.

2. The online monitoring and intelligent diagnostic system for substation secondary equipment based on multi-parameter sensing according to claim 1, characterized in that, The intelligent diagnostic host has a built-in multi-parameter sensing and discrimination module that simultaneously extracts physical layer signals and logic layer data from secondary equipment. The physical layer signals include the on / off status of panel indicator lights sensed by image recognition or sensors, and the logic layer data includes MMS and GOOSE messages based on the IEC 61850 protocol.

3. The online monitoring and intelligent diagnostic system for substation secondary equipment based on multi-parameter sensing according to claim 1, characterized in that, The pressure plate management host is configured with consistency verification logic, which retrieves the physical location information reported by the remote-controlled hard pressure plate and compares it with the logic status of the soft pressure plate issued by the scheduling terminal. If the logic does not match, an abnormal warning signal is triggered.

4. The online monitoring and intelligent diagnosis system for substation secondary equipment based on multi-parameter sensing according to claim 1, characterized in that, The remote-controlled hard plate integrates a status feedback probe, which provides real-time feedback on the physical opening and closing position of the plate after the action is executed, supporting the closed-loop judgment criteria for one-button sequential control operation in the substation.

5. A method for online monitoring and intelligent diagnosis of substation secondary equipment based on multi-parameter sensing, applied to the system described in any one of claims 1-4, characterized in that, Includes the following steps: The intelligent diagnostic host and sensor array collect operating parameters of secondary equipment and acquire multi-source heterogeneous raw data including the physical status of the pressure plate, indicator light signals and internal self-test information of the device. A differentiated comparison strategy was adopted to analyze the collected data from multiple dimensions, and evaluation models at different time scales were established based on the characteristics of the state variables. Based on the evaluation model, the deviation trajectory of the equipment's operating parameters is captured, performance degradation signs are identified, and trend-aware prediction results are generated. The system pushes real-time monitoring data on the physical status of the pressure plate and the normal operating indicators of the equipment to the one-click sequential control platform to assist in confirming the remote engagement and disengagement operation logic.

6. The method for online monitoring and intelligent diagnosis of substation secondary equipment based on multi-parameter sensing according to claim 5, characterized in that, The differential comparison strategy is as follows: dynamically compare the physical location and logical loop consistency of the real-time jumping digital quantity, and use the sliding time window analysis method to compare the trend of the continuously fluctuating analog quantity with the preset historical health baseline.

7. The method for online monitoring and intelligent diagnosis of substation secondary equipment based on multi-parameter sensing according to claim 5, characterized in that, When generating trend perception prediction results, the degree of hardware performance degradation of secondary equipment is determined based on the frequency of occurrence of self-test codes inside the protection device and the variance of communication message delay jitter.

8. The method for online monitoring and intelligent diagnosis of substation secondary equipment based on multi-parameter sensing according to claim 5, characterized in that, Within the one-click sequential control platform, the pressure plate management host sends control commands to the remote-controlled hard pressure plate, simultaneously monitors the changes in electrical parameters fed back by the remote-controlled hard pressure plate, and confirms the remote inspection operation in a closed loop.

9. The method for online monitoring and intelligent diagnosis of substation secondary equipment based on multi-parameter sensing according to claim 5, characterized in that, Multi-parameter perception and discrimination technology classifies secondary equipment into four status levels: normal, attention, abnormal, and critical, generating differentiated operation and maintenance strategies.

10. The method for online monitoring and intelligent diagnosis of substation secondary equipment based on multi-parameter sensing according to claim 5, characterized in that, By utilizing the real-time feedback of the remote-controlled hard plate status, an electrical isolation interlocking logic is established to prevent unexpected actions during equipment maintenance.

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