Remote intelligent inspection and fault diagnosis system for relay protection pressing plate

Abstract

The invention relates to the technical field of remote intelligent fault diagnosis, in particular to a remote intelligent inspection and fault diagnosis system for a relay protection pressing plate, which is characterized in that an acquisition module acquires image characteristic parameter information and environment characteristic parameters of the relay protection pressing plate in a target area; an analysis module analyzes an image feature parameter representation value based on the image feature parameter information, analyzes an environment feature representation value based on the environment feature parameter, and determines whether the period is a relay protection hard strap risk period based on the image feature parameter representation value through a control module; and whether the remote inspection and fault diagnosis system meets the standard is judged based on the environment characteristic characterization value, and the reason for not meeting the standard and the corresponding processing measure are determined through the verification module. According to the invention, the problems of low accuracy of remote intelligent diagnosis and low overall inspection efficiency caused by environment temperature and humidity difference are solved.

Description

Technical Field

[0001] This invention relates to the field of remote intelligent fault diagnosis technology, and in particular to a remote intelligent inspection and fault diagnosis system for relay protection pressure plates. Background Technology

[0002] With the deepening of the digital transformation of the power system, substation operation and maintenance management is facing unprecedented challenges. The traditional methods relying on manual inspections and paper records are no longer suitable for the efficient, safe, and intelligent operation requirements of modern power systems. In the process of promoting digital construction, the following issues must be addressed: First, the risk of inspection errors due to operator fatigue is increasing; second, manual records by operation and maintenance personnel cannot meet the growing demand for inspection and reporting; third, historical equipment data is stored in paper archives for a long time, making it difficult to form a continuous data chain and effective data accumulation. Only by addressing these issues systematically can the safe and stable operation of substations be effectively guaranteed and the overall operation and maintenance efficiency be improved.

[0003] Chinese Patent Publication No. CN110350660A discloses an online monitoring method and system for relay protection function pressure plates, including the following steps: First, periodically inspect the operation information, acquire and parse the model files of the substation relay protection devices to obtain the pressure plate information of each relay protection device; Second, the pressure plate model library construction module establishes corresponding pressure plate models based on the pressure plate information, summarizes them to obtain a model library, and establishes an alarm expert library with correct operation rules for each device based on the pressure plate values ​​during normal operation; Third, if the actual operating pressure plate value does not match the pressure plate value in the correct operation rules, the corresponding pressure plate warning information is output. This invention, through the system of the embodiment, realizes automatic inspection and intelligent verification of pressure plate status, freeing maintenance personnel from the heavy and error-prone manual verification work, enabling real-time monitoring of the operating values ​​of important relay protection pressure plates, and providing timely alarms, which is conducive to quickly eliminating faults, restoring power supply in a timely manner, and reducing economic losses.

[0004] Therefore, it is evident that the existing technology has the following problems: Existing technologies do not consider the physical effects of ambient temperature differences on the relay protection hard plate body, such as corrosion and cracks. These environmentally caused physical deformations can seriously interfere with the accuracy of remote intelligent inspection and fault diagnosis systems, making the system prone to misjudgment during inspection and diagnosis, thus reducing the accuracy of remote intelligent diagnosis and overall inspection efficiency. Summary of the Invention

[0005] To address this, the present invention provides a remote intelligent inspection and fault diagnosis system for relay protection pressure plates, which overcomes the problem in the prior art that does not consider the physical effects of environmental temperature differences on the hard pressure plate body of the relay protection, such as corrosion and cracks. Physical deformation caused by the environment will seriously interfere with the accuracy of the remote intelligent inspection and fault diagnosis system, making it easy for the system to make misjudgments during the inspection and diagnosis process, resulting in low accuracy of remote intelligent diagnosis and low overall inspection efficiency.

[0006] To achieve the above objectives, the present invention provides a remote intelligent inspection and fault diagnosis system for relay protection pressure plates, comprising: The acquisition module is used to acquire image feature parameters of the relay protection pressure plate information image of the target area, as well as environmental feature parameters of the relay protection pressure plate of the target area; An analysis module, which is connected to the acquisition module, is used to analyze the image feature parameter characterization value based on the image feature parameter information and to analyze the environmental feature characterization value based on the environmental feature parameter. The control module is connected to the acquisition module and the analysis module respectively, and is used to determine whether it is a risk cycle of the relay protection hard plate based on the image feature parameter characterization value, and to determine whether the remote inspection and fault diagnosis system meets the standard based on the environmental feature characterization value. If the environmental characteristic characterization value is less than or equal to the predetermined environmental characteristic characterization threshold, the remote inspection and fault diagnosis system is deemed to meet the standard. If the environmental characteristic characterization value is greater than the predetermined environmental characteristic characterization threshold, the remote inspection and fault diagnosis system is determined to be non-compliant with the standard. A verification module, which is connected to the control module, is used to determine the reasons why the remote inspection and fault diagnosis system does not meet the standards and the corresponding handling measures based on the difference between the predetermined image feature parameter characterization threshold and the image feature parameter characterization value. The image feature parameters include image texture contrast and image grayscale, while the environmental feature parameters include ambient temperature and ambient humidity.

[0007] Furthermore, the analysis module is used to determine the image feature parameter representation value based on the ratio of the first image factor to the second image factor, wherein, The first image factor is determined based on the ratio of the difference between the image texture contrast and a predetermined image texture contrast to the predetermined image texture contrast. The second image factor is determined based on the ratio of the absolute value of the difference between the image gray level and a predetermined image gray level to the maximum image gray level.

[0008] Furthermore, the analysis module is used to determine the environmental characteristic characterization value based on the product of the first environmental factor and the second environmental factor, wherein, The first environmental factor is determined by exponentiation based on the ratio of the difference between the ambient temperature and the predetermined ambient temperature to the temperature range, with the predetermined temperature coefficient as the base. The second environmental factor is determined based on the ratio of the absolute value of the difference between the ambient humidity and the predetermined ambient humidity to the predetermined ambient humidity.

[0009] Furthermore, the control module is used to determine whether it is a risk cycle of the relay protection hard plate based on the image feature parameter characterization value, including: If the image feature parameter representation value is less than or equal to the predetermined image feature parameter representation threshold, it is determined to be a risk period of the relay protection hard plate. If the image feature parameter representation value is greater than the predetermined image feature parameter representation threshold, it is determined to be a risk period for the non-relay protection hard plate.

[0010] Furthermore, based on the determined risk cycle of the relay protection hard plate, environmental characteristic parameters of the relay protection plate in the target area are extracted.

[0011] Furthermore, the control module determines whether the remote inspection and fault diagnosis system meets the standards based on environmental characteristic values, including: If the environmental characteristic characterization value is less than or equal to the predetermined environmental characteristic characterization threshold, the remote inspection and fault diagnosis system is deemed to meet the standard. If the environmental characteristic characterization value is greater than the predetermined environmental characteristic characterization threshold, the remote inspection and fault diagnosis system is deemed not to meet the standard.

[0012] Furthermore, the verification module is used to determine the reasons why the remote inspection and fault diagnosis system does not meet the standards based on the difference between a predetermined image feature parameter characterization threshold and the image feature parameter characterization value, including: If the difference is greater than a predetermined difference threshold, it is determined that the environment has caused the system to malfunction. If the difference is less than or equal to a predetermined difference threshold, then the device itself is determined to be faulty.

[0013] Furthermore, the corresponding handling measures for the reasons for non-compliance with the standards include, If the system malfunctions due to environmental factors, then adjustments should be made to the ambient temperature and humidity. If the device itself malfunctions, an alarm signal will be issued.

[0014] Furthermore, the acquisition module components include a pressure plate sensor and an industrial camera.

[0015] Furthermore, the analysis module component also includes image processing software.

[0016] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention provides a remote intelligent inspection and fault diagnosis system for relay protection pressure plates. Through a data acquisition module, it collects image feature parameter information and environmental feature parameters of the protection pressure plates in the target area. Through an analysis module, it analyzes the image feature parameter values ​​based on the image feature parameter information and the environmental feature parameters based on the environmental feature parameters. Through a control module, it determines the risk cycle of the relay protection pressure plate based on the image feature parameter values ​​and determines whether the remote inspection and fault diagnosis system meets the standards based on the environmental feature values. Through a verification module, it determines the reasons for the system's non-compliance with standards and the corresponding handling measures based on the difference between a predetermined image feature parameter value threshold and the actual image feature parameter value. This invention improves the system's working efficiency by determining the causes of system anomalies through image feature parameter values.

[0017] In particular, this invention, through the function of quantitative analysis of image grayscale and image texture contrast by the analysis module, combined with the collaborative diagnosis mechanism of fault root cause by the control module and the verification module, realizes accurate identification of the physical state of relay protection hard plate and fault attribution. This reduces the risk of system misjudgment caused by image distortion due to physical deformation such as corrosion and cracks of the protection plate, improves the accuracy of protection plate status judgment, and provides a reliable basis for operation and maintenance decisions.

[0018] In particular, this invention introduces environmental characteristic values ​​as a prerequisite for system operation through the control module, establishing an efficient screening mechanism that can quickly identify invalid working conditions caused by environmental non-compliance with standards, avoiding unnecessary subsequent image analysis and diagnostic processes, thereby optimizing system resource allocation and significantly improving the overall operational efficiency of remote intelligent inspection.

[0019] In particular, this invention realizes the transformation of operation and maintenance mode from passive alarm to active intervention through the intelligent traceability and treatment measure matching mechanism of the verification module. The system can not only diagnose faults, but also intelligently distinguish between environmental imbalance and equipment failure, and automatically trigger the adjustment of ambient temperature and humidity or issue accurate alarms, thereby realizing preventive maintenance and improving the intelligent operation and maintenance level of the system.

[0020] In particular, this invention constructs a self-assessment system for the system's operating status by continuously monitoring and quantitatively evaluating the ambient temperature and humidity through the acquisition and analysis modules. This ensures that the remote inspection and diagnosis system performs its core tasks only under standard environmental conditions, guaranteeing the quality of the sensed data and the stability of the diagnostic process from the source, thereby enhancing the system's long-term reliability and environmental adaptability. Attached Figure Description

[0021] Figure 1This is a structural block diagram of a remote intelligent inspection and fault diagnosis system for relay protection pressure plates according to an embodiment of the present invention; Figure 2 This invention provides a logic determination diagram for determining whether a relay protection hard-plate risk cycle is present based on the image feature parameter characterization value. Figure 3 This invention provides a logic diagram for determining whether a remote inspection and fault diagnosis system conforms to standards based on environmental characteristic values. Figure 4 This invention provides a logical decision diagram for determining the reasons why a remote inspection and fault diagnosis system does not meet standards and the corresponding handling measures based on the difference between a predetermined image feature parameter characterization threshold and the image feature parameter characterization value. Detailed Implementation

[0022] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0023] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0024] It should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the term "connection" should be interpreted broadly. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0025] Please see Figure 1 The diagram shown is a structural block diagram of a remote intelligent inspection and fault diagnosis system for relay protection pressure plates according to an embodiment of the present invention. The present invention provides a remote intelligent inspection and fault diagnosis system for relay protection pressure plates, comprising: The acquisition module is used to acquire image feature parameters of the relay protection pressure plate information image of the target area, as well as environmental feature parameters of the relay protection pressure plate of the target area; An analysis module, which is connected to the acquisition module, is used to analyze the image feature parameter characterization value based on the image feature parameter information and to analyze the environmental feature characterization value based on the environmental feature parameter. The control module is connected to the acquisition module and the analysis module respectively, and is used to determine whether it is a risk cycle of the relay protection hard plate based on the image feature parameter characterization value, and to determine whether the remote inspection and fault diagnosis system meets the standard based on the environmental feature characterization value. If the environmental characteristic characterization value is less than or equal to the predetermined environmental characteristic characterization threshold, the remote inspection and fault diagnosis system is deemed to meet the standard. If the environmental characteristic characterization value is greater than the predetermined environmental characteristic characterization threshold, the remote inspection and fault diagnosis system is determined to be non-compliant with the standard. A verification module, which is connected to the control module, is used to determine the reasons why the remote inspection and fault diagnosis system does not meet the standards and the corresponding handling measures based on the difference between the predetermined image feature parameter characterization threshold and the image feature parameter characterization value. The image feature parameters include image texture contrast and image grayscale, while the environmental feature parameters include ambient temperature and ambient humidity.

[0026] It is understandable that image grayscale refers to the brightness value of a pixel in digital image processing, usually represented by a numerical value. For an 8-bit grayscale image, the grayscale value ranges from 0 to 255, where 0 represents pure black, 255 represents pure white, and intermediate values ​​represent different shades of gray. The image grayscale is obtained by taking pictures of the pressure plate under stable lighting conditions using an industrial camera, and then converting the color image into a grayscale image.

[0027] As can be understood, image texture contrast refers to the repeatability, periodicity, or randomness of grayscale values ​​in space, reflecting the physical characteristics of an object's surface, such as roughness, smoothness, and regularity. It measures the degree of drastic change or dynamic range of grayscale values ​​within a local area. High contrast means that there are both very dark and very bright pixels in the image, which are adjacent to each other and have clear boundaries. Low contrast means that the pixel grayscale values ​​of the image are clustered in a small range. Image texture contrast can be extracted using statistical methods of the grayscale co-occurrence matrix.

[0028] It is understandable that changes in ambient temperature can alter the plasticity and toughness of metallic materials. Low temperatures make materials brittle and more prone to cracking under impact. The commonly used unit is °C.

[0029] Understandably, ambient humidity is one of the contributing factors to rust formation, and high temperature and high humidity environments are the ideal conditions for rust formation.

[0030] This invention provides a remote intelligent inspection and fault diagnosis system for relay protection pressure plates. The system uses a data acquisition module to collect image feature parameters and environmental feature parameters of the protection pressure plates in a target area. An analysis module analyzes the image feature parameter values ​​and environmental feature parameters. A control module determines the risk cycle of the relay protection pressure plate based on the image feature parameter values ​​and whether the remote inspection and fault diagnosis system meets standards based on the environmental feature parameters. A verification module determines the reasons for system non-compliance and corresponding handling measures based on the difference between a predetermined image feature parameter value threshold and the actual image feature parameter value. This invention improves system efficiency by determining the causes of system anomalies through image feature parameter values.

[0031] Specifically, the analysis module is used to determine the image feature parameter representation value based on the ratio of the first image factor to the second image factor, wherein, The first image factor is determined based on the ratio of the difference between the image texture contrast and a predetermined image texture contrast to the predetermined image texture contrast. The second image factor is determined based on the ratio of the absolute value of the difference between the image gray level and a predetermined image gray level to the maximum image gray level.

[0032] In this embodiment, the predetermined image grayscale is preset and selected within the range of [120, 200]. Preferably, the predetermined image grayscale is 180.

[0033] In this embodiment, the predetermined image texture contrast is preset and selected within the range of [0.5, 3.0]. Preferably, the predetermined image texture contrast is 1.5.

[0034] This invention employs the sum of a first image factor and a second image factor to comprehensively characterize the state of the relay protection plate, achieving a dual improvement in detection accuracy and reliability. The system performs linked analysis of grayscale features reflecting overall brightness changes and texture contrast features representing local roughness. By utilizing the ratio relationship, the defect signal is effectively amplified. When the protection plate shows signs of corrosion or cracking, the significant increase in texture contrast and the decrease in image grayscale result in a significant increase in the ratio, enabling the system to keenly detect early and minute defects. This not only avoids missed or false alarms caused by misjudgment of a single feature, making the detection results more accurate and reliable, but also achieves automated diagnosis without manual intervention, making inspection operations extremely simple and improving work efficiency.

[0035] Specifically, the analysis module is used to determine the environmental characteristic characterization value based on the product of the first environmental factor and the second environmental factor, wherein, The first environmental factor is determined by exponentiation based on the ratio of the difference between the ambient temperature and the predetermined ambient temperature to the temperature range, with the predetermined temperature coefficient as the base. The second environmental factor is determined based on the ratio of the absolute value of the difference between the ambient humidity and the predetermined ambient humidity to the predetermined ambient humidity.

[0036] In this embodiment, the predetermined ambient temperature is preset and selected within the range of [20, 30]. Preferably, the predetermined ambient temperature is 25°C.

[0037] In this embodiment, the temperature span is preset, and the preferred temperature span is 10°C.

[0038] In this embodiment, the predetermined temperature coefficient is preset, and preferably, the predetermined temperature coefficient is 2.

[0039] In this embodiment, the predetermined ambient humidity is preset and selected within the range of [60, 75]. Preferably, the predetermined ambient humidity is 70%.

[0040] This invention quantifies the synergistic effect of ambient temperature and humidity into a comprehensive characteristic parameter, enabling accurate assessment of equipment operating environment risks. By employing the product operation of a temperature acceleration model and a humidity risk model, it scientifically characterizes the combined accelerating effect of high temperature and high humidity environments on equipment aging. This allows the system to keenly detect environmental deterioration trends and issue early warnings before visible defects appear in the equipment, transforming the operation and maintenance mode from passive inspection to proactive intervention. This improves the predictability of equipment management, and the final solution achieves comprehensive benefits by improving system early warning accuracy, optimizing operation and maintenance efficiency, reducing maintenance costs, and ensuring the long-term stable operation of power equipment.

[0041] Please see Figure 2 As shown, this is a logic diagram used in an embodiment of the present invention to determine whether a relay protection hard-plate risk cycle is present based on the image feature parameter characterization value. The control module of the present invention is used to determine whether a relay protection hard-plate risk cycle is present based on the image feature parameter characterization value, including: If the image feature parameter representation value is less than or equal to the predetermined image feature parameter representation threshold, it is determined to be a risk period of the relay protection hard plate. If the image feature parameter representation value is greater than the predetermined image feature parameter representation threshold, it is determined to be a risk period for the non-relay protection hard plate.

[0042] In this embodiment, the predetermined image feature parameter characterization threshold is preset and selected within the range of [0.5, 3.0]. Preferably, the predetermined image feature parameter characterization threshold is 1.0.

[0043] This invention establishes a stable and reliable automatic risk assessment mechanism for relay protection hard-plates by setting a clear and statistically verified image feature parameter threshold. It integrates two complex image feature parameters into a single quantitative index and achieves rapid decision-making through threshold comparison, simplifying the operation and control process, ensuring the system's sensitivity to early defect detection, effectively avoiding misjudgments, and improving the accuracy and efficiency of risk identification. The system reduces equipment failure rates through accurate early warning, saves manpower and time costs required for on-site troubleshooting, and provides strong support for the stable operation of the power system.

[0044] Specifically, based on the determined risk cycle of the relay protection hard plate, environmental characteristic parameters of the relay protection plate in the target area are extracted.

[0045] It is understandable that environmental characteristic parameters include ambient temperature and ambient humidity.

[0046] This invention successfully established a database linking the appearance of equipment with its operating environment by simultaneously extracting ambient temperature and humidity parameters after a risk period is identified. This represents a leap from single-state monitoring to collaborative diagnosis of state and environment, explaining not only the potential causes of defects but also predicting the risk probability of similar equipment based on environmental data. By analyzing the correlation between temperature, humidity, and defects, maintenance strategies can be upgraded from generalized repairs to precise prevention, significantly improving the targeting and efficiency of maintenance work.

[0047] Please see Figure 3 As shown, this is a logic diagram used in an embodiment of the present invention to determine whether a remote inspection and fault diagnosis system conforms to a standard based on environmental characteristic values. The control module of the present invention determines whether a remote inspection and fault diagnosis system conforms to a standard based on environmental characteristic values, including: If the environmental characteristic characterization value is less than or equal to the predetermined environmental characteristic characterization threshold, the remote inspection and fault diagnosis system is deemed to meet the standard. If the environmental characteristic characterization value is greater than the predetermined environmental characteristic characterization threshold, the remote inspection and fault diagnosis system is deemed not to meet the standard.

[0048] In this embodiment, the predetermined environmental feature characterization threshold is preset and selected within the range of [1.5, 3.0]. Preferably, the predetermined environmental feature characterization threshold is 2.0.

[0049] This invention establishes a clear standard for evaluating the operating environment of a remote inspection system by setting a quantitative environmental characteristic threshold. It transforms abstract environmental impacts into intuitive numerical criteria, enabling the system to automatically identify high-risk environments that accelerate equipment aging. When the environmental characteristic value exceeds the threshold, the system immediately determines that it does not meet the standard, prompting managers to take timely intervention measures. This effectively prevents the accumulation of hidden damage caused by long-term operation of equipment in harsh environments, improves the predictability and accuracy of operation and maintenance management, extends equipment lifespan, and optimizes maintenance resource allocation.

[0050] Please see Figure 4 As shown, this is a logic diagram of an embodiment of the present invention used to determine the reasons for non-compliance of a remote inspection and fault diagnosis system with standards and corresponding handling measures based on the difference between a predetermined image feature parameter characterization threshold and the image feature parameter characterization value. The verification module of the present invention is used to determine the reasons for non-compliance of the remote inspection and fault diagnosis system with standards based on the difference between a predetermined image feature parameter characterization threshold and the image feature parameter characterization value, including: If the difference is greater than a predetermined difference threshold, it is determined that the environment has caused the system to malfunction. If the difference is less than or equal to a predetermined difference threshold, then the device itself is determined to be faulty.

[0051] In this embodiment, the predetermined difference threshold is preset and is selected within the range of [0.1, 0.5]. Preferably, the predetermined difference threshold is 0.3.

[0052] It is understandable that environmental factors causing system failure refers to situations where the equipment is not damaged but is in a high-risk environment with high temperature or high humidity.

[0053] It is understandable that a malfunction in the equipment itself refers to a visible and substantial defect in the equipment.

[0054] This invention introduces a difference threshold for root cause analysis of faults. The system can clearly distinguish whether the potential risk is caused by a harsh environment or whether the equipment itself has suffered substantial damage. The intelligent diagnostic mechanism makes the operation and maintenance response highly targeted. If the cause is environmental, environmental control commands are triggered to prevent problems before they occur. If the cause is a fault in the equipment itself, repair or replacement work orders are accurately generated, avoiding misjudgments, improving the accuracy of fault diagnosis and operation and maintenance efficiency, fundamentally reducing unnecessary equipment disassembly and assembly and material waste, and achieving optimized allocation of maintenance resources and effective reduction of equipment life cycle management costs.

[0055] Specifically, the corresponding handling measures for the reasons for non-compliance with the standards include: If the system malfunctions due to environmental factors, then adjustments should be made to the ambient temperature and humidity. If the device itself malfunctions, an alarm signal will be issued.

[0056] Understandably, when high temperature and humidity cause the protective pressure plate to rust and crack, the system will start or increase the cooling rate of the precision air conditioner in the computer room to regulate the ambient temperature and start the dehumidifier to reduce the ambient humidity.

[0057] Specifically, in this embodiment, the adjustment range for adjusting the ambient temperature and temperature is determined based on a quadratic difference between a predetermined image feature parameter characterization threshold and the difference value of the image feature parameter characterization, and a predetermined difference threshold. If the quadratic difference is less than or equal to a predetermined quadratic difference threshold, then the increase in ambient humidity is determined. If the quadratic difference is greater than the predetermined quadratic difference threshold, the decrease in ambient temperature is determined.

[0058] This invention establishes a highly automated intelligent operation and maintenance closed loop by linking the causes of failures with the corresponding handling measures. When the cause is determined to be environmental, the system can automatically activate the air conditioner and dehumidifier to regulate temperature and humidity, reducing rust and cracks at the source. This not only significantly reduces the failure rate of the pressure plate but also saves on subsequent high maintenance costs and spare parts consumption. When the cause is determined to be a fault in the equipment itself, the system immediately alarms personnel and accurately locates the faulty protection pressure plate, greatly shortening the troubleshooting time, improving maintenance efficiency, extending equipment life, and optimizing human resource allocation.

[0059] Specifically, the acquisition module components include a pressure plate sensor and an industrial camera.

[0060] It is understandable that a pressure plate sensor refers to a collection of sensing devices used to collect the physical position and status of the relay protection hard pressure plate. It is mainly responsible for converting the digital optical images acquired by the industrial camera into electrical signals, providing raw data for subsequent image feature analysis.

[0061] Understandably, the core function of an industrial camera is to acquire high-quality, high-stability digital images of the relay protection hard platen.

[0062] This invention provides a collaborative data acquisition system integrating an industrial camera and a pressure plate sensor. This system provides the industrial camera with a visual evidence chain for assessing the appearance defects of the pressure plate, while the pressure plate sensor ensures the synchronous acquisition and signal conversion of physical position and image data. This improves the completeness and accuracy of the condition assessment, enabling the system to detect early mechanical hazards that are difficult to detect with the naked eye in a timely manner. This provides key data support for preventive maintenance and ultimately achieves results in improving power grid safety, optimizing maintenance processes, and reducing operation and maintenance costs.

[0063] Specifically, the analysis module component also includes image processing software.

[0064] Understandably, image processing software is responsible for performing image processing operations such as denoising, contrast enhancement, and geometric correction on the original digital image in order to improve image quality and analyze and obtain image grayscale and image texture contrast.

[0065] This invention integrates dedicated image processing software to transform raw, noisy camera data into high-quality feature information suitable for intelligent diagnosis. The software denoises, enhances, and corrects the images, effectively eliminating errors caused by uneven lighting, electrical interference, and shooting angles. This provides a stable and reliable data foundation for subsequent analysis and improves the extraction accuracy of the two core feature parameters: image grayscale and texture contrast. This enables the system to accurately identify early corrosion and micro-cracks that are difficult for the human eye to detect. This not only significantly improves detection quality and automation but also reduces unnecessary power outages due to misjudgments, thereby increasing inspection efficiency and lowering maintenance costs.

[0066] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A remote intelligent inspection and fault diagnosis system for relay protection pressure plates, characterized in that, include: The acquisition module is used to acquire image feature parameters of the relay protection pressure plate information image of the target area, as well as environmental feature parameters of the relay protection pressure plate of the target area; An analysis module, which is connected to the acquisition module, is used to analyze the image feature parameter characterization value based on the image feature parameter information and to analyze the environmental feature characterization value based on the environmental feature parameter. The control module is connected to the acquisition module and the analysis module respectively, and is used to determine whether it is a risk cycle of the relay protection hard plate based on the image feature parameter characterization value, and to determine whether the remote inspection and fault diagnosis meet the standards based on the environmental feature characterization value. If the environmental characteristic characterization value is less than or equal to the predetermined environmental characteristic characterization threshold, then the remote inspection and fault diagnosis are deemed to meet the standard. If the environmental characteristic characterization value is greater than the predetermined environmental characteristic characterization threshold, then the remote inspection and fault diagnosis are deemed not to meet the standard. A verification module, which is connected to the control module, is used to determine the reasons for non-compliance between remote inspection and fault diagnosis and corresponding handling measures based on the difference between a predetermined image feature parameter characterization threshold and the image feature parameter characterization value. The image feature parameters include image texture contrast and image grayscale; the environmental feature parameters include ambient temperature and ambient humidity.

2. The remote intelligent inspection and fault diagnosis system for relay protection pressure plates according to claim 1, characterized in that, The analysis module is used to determine the image feature parameter representation value based on the ratio of the first image factor to the second image factor, wherein, The first image factor is determined based on the ratio of the difference between the image texture contrast and a predetermined image texture contrast to the predetermined image texture contrast. The second image factor is determined based on the ratio of the absolute value of the difference between the image gray level and a predetermined image gray level to the maximum image gray level.

3. The remote intelligent inspection and fault diagnosis system for relay protection pressure plates according to claim 1, characterized in that, The analysis module is used to determine the environmental characteristic value based on the product of the first environmental factor and the second environmental factor, wherein, The first environmental factor is determined by exponentiation based on the ratio of the difference between the ambient temperature and the predetermined ambient temperature to the temperature range, with the predetermined temperature coefficient as the base. The second environmental factor is determined based on the ratio of the absolute value of the difference between the ambient humidity and the predetermined ambient humidity to the predetermined ambient humidity.

4. The remote intelligent inspection and fault diagnosis system for relay protection pressure plates according to claim 1, characterized in that, The control module is used to determine whether it is a risk period for the relay protection hard plate based on the image feature parameter characterization value, including: If the image feature parameter representation value is less than or equal to the predetermined image feature parameter representation threshold, it is determined to be a risk period of the relay protection hard plate. If the image feature parameter representation value is greater than the predetermined image feature parameter representation threshold, it is determined to be a risk period for the non-relay protection hard plate.

5. The remote intelligent inspection and fault diagnosis system for relay protection pressure plates according to claim 4, characterized in that, Based on the determined risk cycle of the relay protection hard plate, environmental characteristic parameters of the relay protection plate in the target area are extracted.

6. The remote intelligent inspection and fault diagnosis system for relay protection pressure plates according to claim 1, characterized in that, The control module determines whether the remote inspection and fault diagnosis system meets the standards based on environmental characteristic values, including: If the environmental characteristic characterization value is less than or equal to the predetermined environmental characteristic characterization threshold, the remote inspection and fault diagnosis system is deemed to meet the standard. If the environmental characteristic characterization value is greater than the predetermined environmental characteristic characterization threshold, the remote inspection and fault diagnosis system is deemed not to meet the standard.

7. The remote intelligent inspection and fault diagnosis system for relay protection pressure plates according to claim 1, characterized in that, The verification module is used to determine the reasons why the remote inspection and fault diagnosis system does not meet the standards based on the difference between a predetermined image feature parameter characterization threshold and the image feature parameter characterization value, including: If the difference is greater than a predetermined difference threshold, it is determined that the environment has caused the system to malfunction. If the difference is less than or equal to a predetermined difference threshold, then the device itself is determined to be faulty.

8. The remote intelligent inspection and fault diagnosis system for relay protection pressure plates according to claim 7, characterized in that, The corresponding handling measures for the reasons for non-compliance with the standards include: If the system malfunctions due to environmental factors, then adjustments should be made to the ambient temperature and humidity. If the device itself malfunctions, an alarm signal will be issued.

9. The remote intelligent inspection and fault diagnosis system for relay protection pressure plates according to claim 1, characterized in that, The data acquisition module components include a pressure plate sensor and an industrial camera.

10. The remote intelligent inspection and fault diagnosis system for relay protection pressure plates according to claim 1, characterized in that, The analysis module also includes image processing software.

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