High-voltage switch product foreign matter quantitative detection method and related equipment

Abstract

The invention belongs to the field of high-voltage switch cleaning, and discloses a high-voltage switch product foreign matter quantitative detection method and related equipment. According to the method, feature data such as the length, the number and the diameter of foreign matter in a to-be-detected area of a high-voltage switch product on wiping paper are automatically extracted through the visual recognition technology; the foreign matter types are accurately classified by calculating the ratio of the length to the diameter of the foreign matter, and whether the size and the number of the foreign matter reach the standard is automatically judged based on the wiping paper type, the foreign matter type and the preset standard requirement so as to evaluate the detection qualification. By adopting the method, the problems of quantitative standard deficiency and insufficient precision in traditional detection are effectively solved, the precision of foreign matter parameter acquisition and the detection consistency are remarkably improved, the reliability of a judgment result is ensured, the high requirement of high-voltage switch equipment on refined detection is met, and the detection efficiency is improved. And the guarantee capability of product quality control and long-term stable operation of equipment is enhanced.

Description

Technical Field

[0001] The present invention belongs to the technical field of high-voltage switch cleaning, and in particular relates to a method for quantitatively detecting foreign matter in high-voltage switch products and related equipment. Background Art

[0002] In the high-voltage switchgear industry, key components such as circuit breakers and disconnectors require cleaning and inspection for residual foreign matter after completing mechanical operation tests to ensure safe and reliable operation. Currently, the assessment of foreign matter cleaning compliance relies primarily on visual inspection by cleaning personnel to determine whether foreign matter adheres to wipes. The identification, counting, and dimensional measurement of foreign matter adhered to components are also typically performed using traditional methods such as visual inspection, magnifying glass-assisted counting, and ruler measurement.

[0003] However, this traditional inspection method has numerous drawbacks. First, the determination of foreign body removal relies solely on visual inspection of the wipe, lacking a unified quantitative standard. This makes the results significantly susceptible to human influence, making it difficult to ensure consistent and accurate inspections. Second, relying on visual identification of foreign bodies and simple tools to measure their number and size results in low measurement accuracy, making it impossible to accurately capture relevant foreign body parameters. This makes it difficult to meet the refined inspection requirements of high-voltage switchgear, impacting product quality control and the long-term stable operation of the equipment.

[0004] It can be seen that the existing foreign body detection methods for high-voltage switches have problems such as lack of quantitative standards, low detection accuracy, and difficulty in obtaining accurate parameters. Summary of the Invention

[0005] The present invention provides a method and related equipment for quantitatively detecting foreign matter in high-voltage switchgear products. The method can realize quantitative detection of foreign matter in high-voltage switchgear products and automatically determine whether the covers of various components (such as circuit breakers and disconnectors) have been properly opened and cleaned after operation. This method changes the current situation of visually determining the eligibility of the covers of various product components after operation, improves product cleaning quality, and ensures the smooth operation of product factory tests and engineering installation site tests.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: A method for quantitatively detecting foreign matter in a high-voltage switch product, comprising: Extracting foreign matter and foreign matter feature data from the test area of the high-voltage switch product on the wiping paper based on visual recognition; the foreign matter feature data includes the size and quantity of the foreign matter; the size of the foreign matter includes the length and diameter of the foreign matter; The wire diameter ratio of the foreign body is obtained based on the length and diameter of the foreign body, and the foreign body type corresponding to each foreign body is determined according to the wire diameter ratio of the foreign body; Based on the type of wipe paper and foreign matter, combined with the size of each foreign matter and the number of different foreign matter types, the test is judged to be qualified: If the size and quantity of the foreign objects both meet the corresponding standard requirements, it is determined that the inspection is qualified; otherwise, it is determined that the inspection is unqualified.

[0007] Further, the method for extracting foreign objects and foreign object feature data in the area to be measured of the high-voltage switch product on the wiping paper based on the visual recognition method includes: Perform visual photographing on the wiping paper with foreign objects in the area to be measured of the high-voltage switch product to obtain an image to be recognized; the image to be recognized uses the wiping paper as the background, and particulate matter is attached to the wiping paper. Based on the gray-scale difference between the wiping paper and the particulate matter, extract the foreign objects and foreign object feature data in the area to be measured of the high-voltage switch product.

[0008] Further, the method for extracting foreign objects and foreign object feature data in the area to be measured of the high-voltage switch product based on the gray-scale difference between the wiping paper and the particulate matter includes: Obtain the gray-scale value of the wiping paper and the gray-scale value of the particulate matter to obtain the gray-scale difference between the wiping paper and the particulate matter; wherein, the gray-scale value of the wiping paper is determined based on the type of the wiping paper. Compare the gray-scale difference between the wiping paper and the particulate matter with a preset gray-scale difference threshold, and identify the particulate matter that meets the gray-scale difference requirement as a foreign object; the types of the wiping paper include white wiping paper for insulating part sampling and blue wiping paper for metal part sampling. Based on an effective size threshold, eliminate the foreign objects that do not meet the effective size requirements, extract the screened foreign objects as the foreign objects in the area to be measured of the high-voltage switch product, and at the same time extract the feature data corresponding to the foreign objects in the area to be measured of the high-voltage switch product.

[0009] Further, the method for obtaining the wire diameter ratio of a foreign object based on the length and diameter of the foreign object and determining the corresponding foreign object type for each foreign object includes: Calculate the wire diameter ratio of the foreign object according to the length and diameter of the foreign object. Judge the corresponding foreign object type for the foreign object according to the wire diameter ratio of the foreign object: If the wire diameter ratio of the foreign object is less than the preset wire diameter ratio threshold, it is determined that the corresponding foreign object type of the foreign object is a particulate foreign object; otherwise, it is determined that the corresponding foreign object type of the foreign object is a filamentous foreign object.

[0010] Further, the method for judging whether the inspection is qualified based on the type of the wiping paper and the type of the foreign object, in combination with the size of each foreign object and the quantity corresponding to different foreign object types includes: According to the type of the wiping paper and the type of the foreign object, obtain the preset size standards corresponding to different types of wiping papers and different types of foreign objects. If the sizes of all foreign objects are less than the corresponding preset size standards, it is determined that the sizes of the foreign objects meet the corresponding standard requirements. Obtain the preset quantity standards corresponding to different wiping paper types and different foreign object types according to the wiping paper type and the foreign object type; If the total quantity of foreign objects of the same foreign object type is less than the corresponding preset quantity standard, it is determined that the quantity of foreign objects meets the corresponding standard requirements; If both the size and quantity of the foreign object meet the corresponding standard requirements, it is determined that the detection is qualified; otherwise, it is determined that the detection is unqualified.

[0011] Further, when the high-voltage switch product is a circuit breaker, the area to be measured of the high-voltage switch product is divided into 7 regions, namely: the mechanism side end cover region, the mechanism side disconnection region, the mechanism side handhole region, the lower tank region, the region far from the mechanism side disconnection, the region far from the mechanism side handhole, and the region far from the mechanism side end cover.

[0012] Further, before determining whether the detection is qualified based on the wiping paper type and the foreign object type, in combination with the size of each foreign object and the quantity corresponding to different foreign object types, it includes: Correct the quantity of foreign objects, specifically including: Obtain the preset correction quantity corresponding to different wiping paper types and different foreign object types according to the wiping paper type and the foreign object type; Based on the extracted quantity of foreign objects and the preset correction quantity, calculate the corrected quantity of foreign objects. The specific formula is as follows: Corrected quantity of foreign objects = Extracted quantity of foreign objects - Preset correction quantity.

[0013] A quantitative foreign object detection system for high-voltage switch products, including: An extraction module, configured to extract foreign objects and foreign object feature data in the area to be measured of the high-voltage switch product on the wiping paper based on visual recognition; the foreign object feature data includes the size and quantity of the foreign object; the size of the foreign object includes the length and diameter of the foreign object; A type judgment module, configured to obtain the wire diameter ratio of the foreign object based on the length and diameter of the foreign object, and determine the corresponding foreign object type of each foreign object according to the wire diameter ratio of the foreign object; A detection module, based on the wiping paper type and the foreign object type, in combination with the size of each foreign object and the quantity corresponding to different foreign object types, determines whether the detection is qualified: if both the size and quantity of the foreign object meet the corresponding standard requirements, it is determined that the detection is qualified; otherwise, it is determined that the detection is unqualified.

[0014] A quantitative foreign object detection device for high-voltage switch products, including: A memory, configured to store a computer program; A processor, configured to implement the steps of the above-mentioned quantitative foreign object detection method for high-voltage switch products when executing the computer program.

[0015] A computer-readable storage medium stores a computer program, wherein the computer program is used to implement the steps of the above-mentioned method for quantitative detection of foreign matter in high-voltage switch products when executed by a processor.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention provides a method for quantitatively detecting foreign matter in high-voltage switchgear products. This method uses visual recognition technology to automatically extract characteristic data such as the length, quantity, and diameter of foreign matter in the test area of the high-voltage switchgear product on a wipe paper. The foreign matter type is accurately classified by calculating the ratio of the length to the diameter of the foreign matter. Based on the wipe paper type, the foreign matter type, and the preset standard requirements, the method automatically determines whether the size and quantity of the foreign matter meet the standards to evaluate the test qualification. Visual recognition replaces manual visual inspection, providing an objective and quantitative data basis, avoiding subjective judgment bias; the wire diameter ratio calculation enhances the accuracy of foreign matter identification and achieves refined differentiation of foreign matter types; and the automatic comparison mechanism of preset standards unifies the detection basis and eliminates the uncertainty of human operation. The use of this method effectively overcomes the problems of lack of quantitative standards and insufficient precision in traditional detection, significantly improves the accuracy of foreign matter parameter acquisition and detection consistency, ensures the reliability of the judgment results, thereby meeting the high requirements of high-voltage switchgear for refined detection, and strengthens the product quality control and the ability to ensure the long-term stable operation of the equipment.

[0017] Preferably, the present invention utilizes grayscale difference analysis to achieve intelligent foreign object identification, transforming traditional visual comparison into quantitative image grayscale analysis. This method utilizes the grayscale difference between the foreign object and the background of the paper wipe to establish an objective identification threshold, preventing the human eye from misjudging subtle color differences. This method not only provides a reproducible detection benchmark but also significantly improves the sensitivity of identifying tiny foreign objects, laying the technical foundation for subsequent accurate acquisition of feature data.

[0018] The present invention innovatively proposes a dual-dimensional screening mechanism: First, the grayscale threshold is dynamically adjusted based on the wipe type to accommodate different sampling scenarios for insulating and metal parts; second, an effective size threshold is set to filter out interfering particles. This design specifically addresses the problem of false detection in multi-material environments, ensuring that all extracted foreign object data is valid, eliminating contamination of detection results by interfering factors such as environmental dust, and significantly improving data confidence. The present invention introduces the wire diameter ratio (length / diameter ratio) as a core indicator for foreign body classification for the first time, achieving scientific classification through a preset threshold. This approach overcomes the inability of traditional methods to distinguish foreign body morphology, provides a theoretical basis for subsequent differentiated judgment, and ensures that the classification results have clear physical significance and engineering application value.

[0019] Preferably, in the present invention, a hierarchical determination model is constructed: first, match the preset size standard according to the wiping paper type + foreign object type, and then verify the total number of the same type of foreign objects to form a dual guarantee mechanism. This design breaks through the limitations of single-threshold determination, can not only capture a single over-standard dangerous foreign object, but also control the cumulative risk of the same type of foreign objects, so that the qualified determination logic fully covers the actual safety requirements of high-voltage switchgear. Preferably, in the present invention, in view of the complex structural characteristics of the circuit breaker, the seven-zone detection method is first created, and the detection area is refined into a total of seven key areas in three major modules: the mechanism side / the lower tank / the side far from the mechanism side. This design breaks through the traditional sampling blind area, realizes the full-coverage detection of the cavity dead angle, accurately locates the foreign object source area, and provides data support for subsequent targeted improvement of the assembly process. Preferably, in the present invention, a dynamic correction mechanism is introduced. The background interference value is preset according to different wiping paper types and foreign object types, and the true foreign object quantity is calculated by "measured quantity - background value". In this way, the environmental background noise and the true defect signal can be effectively separated, and the false alarm problem in the high-background interference scenario can be solved, especially in the detection of metal parts, the data reliability is greatly improved. Description of the Drawings Figure 1 It is a flowchart of the preparation stage of a foreign object quantitative detection method for a high-voltage switch product provided by an embodiment of the present invention; Figure 2 It is a flowchart of the detection stage of a foreign object quantitative detection method for a high-voltage switch product provided by an embodiment of the present invention; Figure 3 It is a flowchart of the data processing stage of a foreign object quantitative detection method for a high-voltage switch product provided by an embodiment of the present invention; Figure 4 It is a front view of a foreign object quantitative detection device for a high-voltage switch product provided by an embodiment of the present invention; Figure 5 It is a top view of a foreign object quantitative detection device for a high-voltage switch product provided by an embodiment of the present invention; Figure 6 It is a front view of the detection device of a foreign object quantitative detection device for a high-voltage switch product provided by an embodiment of the present invention; Figure 7 It is a side view of the detection device of a foreign object quantitative detection device for a high-voltage switch product provided by an embodiment of the present invention; Figure 8 It is a top view of the detection device of a foreign object quantitative detection device for a high-voltage switch product provided by an embodiment of the present invention; Figure 9 It is a schematic diagram of 7 zones in the circuit breaker provided by an embodiment of the present invention; Figure 10Schematic diagram of the detection path for a method of quantitatively detecting foreign objects in a high-voltage switch product provided by an embodiment of the present invention; Figure 11 Flowchart of a method of quantitatively detecting foreign objects in a high-voltage switch product provided by an embodiment of the present invention; Figure 12 Schematic structural diagram of a system for quantitatively detecting foreign objects in a high-voltage switch product provided by an embodiment of the present invention.

[0020] Reference numerals: 1, detection platform; 2, operation computer; 3, service controller; 4, walking track; 5, industrial camera; 6, sample placement table. Detailed implementation manners

[0021] To further understand the content of the present invention, the following provides a detailed description of the present invention in conjunction with the accompanying drawings and specific embodiments. It should be understood that the embodiments are only for explaining the present invention and not for limiting it.

[0022] To facilitate a better understanding of the content of the present technical solution, the following technical terms are explained: High-voltage switch product: Indoor and outdoor AC switchgear operating in a power system, mainly used for connecting and disconnecting circuits and isolating power sources to control and protect the power system and ensure the safe operation of the system.

[0023] Mechanical operation test: Check the operation performance of the high-voltage switch product under specified operating conditions and the reliability of opening and closing. The mechanical operation test should be carried out according to the number of operations specified in the product standard and technical conditions. For example, the circuit breaker and its operating mechanism should be able to continuously, correctly, and reliably open and close (make-and-break) 200 - 300 times under the specified operating voltage and operating pressure.

[0024] Foreign object: Substances generated after the mechanical operation test of the high-voltage switch product due to reasons such as contact wear, separation wear, and vibration. If substances, especially metal substances, are not cleaned up and remain in the product gas chamber, it will cause quality accidents such as discharges during the operation of the product and affect the normal operation of the product.

[0025] Sampling: To study the quantity and size of foreign objects, wiping papers dipped in alcohol are used to clean the foreign objects at specific parts respectively, and the wiped papers are used as samples for research.

[0026] Detection: Use a special device to take visual photos of the quantity and size of substances within a certain size range of the sampled samples according to specific requirements.

[0027] Extraction: After the substances on the sample are detected, they are compared with a certain number of gray values, and then gray-scale image processing is carried out to identify foreign objects.

[0028] Gray value: A basic concept in image processing, used to represent the brightness information of pixels in an image. In an 8-bit image, the range of gray values is from 0 to 255, where 0 represents pure black (the darkest) and 255 represents pure white (the brightest). The larger the gray value, the brighter the pixel; the smaller the gray value, the darker the pixel.

[0029] Grayscale image: An image that contains only brightness information and no color information. In a grayscale image, each pixel has only one gray value, which is used to represent the brightness of that point.

[0030] Grayscale image processing: In image processing, gray values are the basis for many algorithms, such as edge detection, image segmentation, feature extraction, etc. By analyzing and processing gray values, useful information in the image can be extracted, which helps to identify and track objects.

[0031] Open the cover for cleaning: After the mechanical operation test of the high-voltage switch product, it is necessary to clean the foreign objects remaining in the gas chamber. For each component (such as the circuit breaker), it is necessary to recover the SF6 gas in the shell and evacuate it, then remove the end cover screws, open the end cover, and the personnel shall clean and collect the foreign objects in the shell according to the specified requirements.

[0032] Cleanliness judgment: Judge whether the foreign objects are cleaned up and whether the cleanliness is qualified.

[0033] Sampling tool: The medium for collecting foreign objects.

[0034] Sampling location: The specific location of the product for foreign object sampling.

[0035] Sampling method: The specific requirements for foreign object sampling.

[0036] Definition of foreign objects: Definition of foreign object types and definition of foreign object sizes.

[0037] Detection path: The walking route of the camera during foreign object visual photography.

[0038] Detection times: The number of times the sample needs to be detected.

[0039] Extracted parameters: Numerical values such as the size, quantity, proportion, average value, and limit value that need to be obtained for foreign objects.

[0040] Judgment criterion: Through specific numerical values, automatically judge whether the foreign objects are cleaned up and whether the cleanliness is qualified.

[0041] Detection cabinet: Refers to the detection box, which includes the internal walking track, high-definition camera, and detection table.

[0042] Walking track: The guide rail that controls the stable walking of the detection camera.

[0043] Detection table: The platform for fixing and placing the detection sample.

[0044] To address the problems of existing high-voltage switch foreign body detection methods, such as lack of quantitative standards, low detection accuracy, and difficulty in obtaining accurate parameters, this embodiment provides a method for quantitative foreign body detection in high-voltage switch products, including: Extracting foreign matter and foreign matter feature data from the test area of the high-voltage switch product on the wiping paper based on visual recognition; the foreign matter feature data includes the size and quantity of the foreign matter; the size of the foreign matter includes the length and diameter of the foreign matter; The wire diameter ratio of the foreign body is obtained based on the length and diameter of the foreign body, and the foreign body type corresponding to each foreign body is determined according to the wire diameter ratio of the foreign body; Based on the type of wipe paper and foreign matter, combined with the size of each foreign matter and the number of different foreign matter types, the test is judged to be qualified: If the size and quantity of the foreign matter meet the corresponding standard requirements, the test is judged to be qualified; otherwise, the test is judged to be unqualified.

[0045] The technical solution provided by this embodiment is further explained below with reference to the accompanying drawings: This embodiment provides a method for quantitatively detecting foreign matter in a high-voltage switch product. The entire detection method process is divided into a preparation process, a detection process, and a data processing process, specifically including: like Figure 1 As shown, in this embodiment, the specific steps of the preparation process are as follows: Step 1: Foreign matter definition: Only foreign matter ≥50µm in size is captured. Foreign matter <50µm will not significantly impact switch product quality. Foreign matter is categorized into two types: particulate matter and filamentous matter. Particulate matter with a wire-to-diameter ratio ≥5 is considered filamentous matter, while particulate matter with a wire-to-diameter ratio <5 is considered particulate matter.

[0046] Step 2: Clean the sampling area: Taking the circuit breaker as an example, the high-voltage switch product to be tested is divided into 7 areas, including the end cover area A on the mechanism side, the fracture area B on the mechanism side, the hand hole area C on the mechanism side, the lower tank area D, the fracture area E away from the mechanism side, the hand hole area F away from the mechanism side, and the end cover area G away from the mechanism side, a total of 7 areas, as shown in the following figure: Figure 9 shown.

[0047] Step 3. Prepare and clean the sampling tools: Under the illumination of a strong flashlight, use alcohol-soaked wiping paper to wipe the sampling parts separately. Use white wiping paper to wipe the insulating parts and use blue wiping paper to wipe the metal parts.

[0048] Step 4. Cleaning the sampling process: Clean it according to the steps of daily work cleaning until the cleaning personnel confirm that it is clean, and then use a wiping paper dipped in alcohol to conduct a single detection wipe to check if it is clean. Pay attention to the color distinction of the wiping papers for detecting and wiping the insulating parts and metal parts.

[0049] As Figure 2 shown, the specific steps of the detection process are as follows: Step 1: Determine the detection path: The detection sample (wiping paper with foreign matter) is placed flat and fixed at a fixed position on the detection table, with the foreign matter attachment surface facing up and facing the detection camera. Driven by the walking track, the detection camera starts from the lower right corner of the sample and walks upward to take pictures until the upper right part, then moves to the middle upper part and takes pictures, and then until the middle lower part, then moves to the lower left part and takes pictures until the upper left part. Each wiping paper needs to be photographed 12 times to complete the detection of the whole paper, and each wiping paper is photographed and detected 3 times in total. The specific moving order of taking pictures is as Figure 10 shown, Figure 10 in which the detection path is the order of the numbers.

[0050] Step 2: Foreign matter capture: Visually take pictures of the detection sample through a high-definition camera. The foreign matter capture range is that when the size ≥ 50um and the gray value difference ≥ 20 on the blue wiping paper, it is recognized as a foreign matter, and when the gray value difference ≥ 10 on the white wiping paper, it is recognized as a foreign matter. Considering the influence of the wiping paper manufacturing process factors, background foreign matters are excluded. The number of filamentous foreign matters on the blue wiping paper is the value obtained by subtracting 3 from the captured number, and the number of particulate foreign matters on the blue wiping paper is the value obtained by subtracting 5 from the captured number. The number of filamentous foreign matters on the white wiping paper is the value obtained by subtracting 4 from the captured number, and the number of particulate foreign matters on the white wiping paper is the value obtained by subtracting 8 from the captured number. It can be seen that by introducing a correction mechanism, the accuracy of the final detection result is ensured.

[0051] Step 3. Foreign matter extraction parameters: After foreign matter capture, on the one hand, display the number of particulate foreign matters, the number of filamentous foreign matters, the average values of the particulate foreign matters and filamentous foreign matters in each of the 3 detections, and their respective quantity ratios for each of the 3 detections. On the other hand, display the minimum and maximum size limits of the particulate foreign matters in each of the 3 detections, the minimum and maximum size limits of the filamentous foreign matters in each of the 3 detections. The minimum and maximum size limits among all the sizes of the particulate foreign matters detected 3 times, and the minimum and maximum size limits among all the sizes of the filamentous foreign matters detected 3 times.

[0052] As Figure 3 shown, the specific steps of the data processing process are as follows: Step 1. Cleanliness Qualification Standards: For the white test sample, the filament size ≤ 2.5, the particle size ≤ 2, the number of filamentous foreign objects exceeding 2σ in 3 tests on the white test sample ≤ 6, and the number of particulate foreign objects exceeding 2σ ≤ 25. For the blue test sample, the filament size ≤ 2, the particle size ≤ 1.8, the number of filamentous foreign objects exceeding 2σ in 3 tests on the blue test sample ≤ 4, and the number of particulate foreign objects exceeding 2σ ≤ 14; where σ represents the standard deviation of the Gaussian normal distribution, which is a preset value in this embodiment.

[0053] Step 2. Cleanliness Judgment Method: Both filamentous foreign objects and particulate foreign objects are first judged according to the size standard. If the size is qualified, then judged according to the quantity standard. If any one is unqualified, it is judged as unqualified, and cleaning and testing sampling need to be continued until the test is qualified.

[0054] Exemplarily, to facilitate the implementation of the steps of the above detection method, this embodiment also provides a quantitative foreign object detection device for high-voltage switch products, specifically as Figures 4 to 8 shown, including: a detection platform 1, an operation computer 2, a service controller 3, a walking track 4, an industrial camera 5, and a sample placement table 6; when performing a detection operation, the specific implementation steps of this device are as follows: The first step, after the operation computer 2 is turned on, enter the operation interface. The second step, place the test sample flat on the sample placement table 6. The third step, start the detection platform 1, and the walking track 4 starts to drive the industrial camera 5 to perform visual detection, for a total of 3 times.

[0055] The fourth step, the operation computer 2 display screen shows the final detection result.

[0056] Thus, this embodiment provides a quantitative foreign object detection method for high-voltage switch products, which has the following advantages: 1. This method classifies foreign object types by the foreign object wire diameter ratio range, achieving the unification of foreign object types.

[0057] 2. This method determines the range of foreign objects affecting product quality to be detected through foreign object size, achieving the unification of research benchmarks.

[0058] 3. This method solidifies the source parts of the test samples by dividing 7 parts of the circuit breaker to be cleaned.

[0059] 4. This method provides a sampling method for determining the detection and cleaning effect, achieving the unification of test samples.

[0060] 5. This method provides standard values and judgment methods for determining the qualification of foreign objects, achieving the judgment of cleaning qualification.

[0061] 6. Through the control system of the device (camera movement, software analysis), such as camera movement and software analysis, foreign object capture, foreign object parameter extraction, and qualification judgment are achieved.

[0062] Exemplarily, as Figure 11 shown, this embodiment provides a method for quantitatively detecting foreign objects in high-voltage switch products, including the following steps: Extract foreign objects and foreign object feature data in the area to be measured of the high-voltage switch product on the wiping paper based on the visual recognition method; the foreign object feature data includes the size and quantity of the foreign objects; the size of the foreign objects includes the length and diameter of the foreign objects; Obtain the wire diameter ratio of the foreign object based on the length and diameter of the foreign object, and determine the corresponding foreign object type for each foreign object according to the wire diameter ratio of the foreign object; Based on the wiping paper type and foreign object type, combined with the size of each foreign object and the quantity corresponding to different foreign object types, judge whether the detection is qualified: If the size and quantity of the foreign objects both meet the corresponding standard requirements, it is judged that the detection is qualified; otherwise, it is judged that the detection is unqualified.

[0063] In this embodiment, the extraction of foreign objects and foreign object feature data in the area to be measured of the high-voltage switch product on the wiping paper based on the visual recognition method includes: Take a visual photo of the wiping paper with foreign objects in the area to be measured of the high-voltage switch product to obtain an image to be recognized; Based on the gray level difference between the wiping paper and the particulate matter, extract the foreign objects and foreign object feature data in the area to be measured of the high-voltage switch product.

[0064] In this embodiment, the extraction of foreign objects and foreign object feature data in the area to be measured of the high-voltage switch product based on the gray level difference between the wiping paper and the particulate matter includes: Obtain the gray level value of the wiping paper and the gray level value of the particulate matter to obtain the gray level difference between the wiping paper and the particulate matter; among them, the gray level value of the wiping paper is determined based on the wiping paper type; Compare the gray level difference between the wiping paper and the particulate matter with a preset gray level difference threshold, and identify the particulate matter that meets the gray level difference requirement as a foreign object; the wiping paper type includes a white wiping paper for insulating part sampling and a blue wiping paper for metal part sampling; Based on the effective size threshold, eliminate the foreign objects that do not meet the effective size requirement, extract the screened foreign objects as the foreign objects in the area to be measured of the high-voltage switch product, and at the same time extract the characteristic data corresponding to the foreign objects in the area to be measured of the high-voltage switch product.

[0065] In this embodiment, the obtaining of the wire diameter ratio of the foreign object based on the length and diameter of the foreign object and the determination of the corresponding foreign object type for each foreign object according to the wire diameter ratio of the foreign object include: Calculate the wire diameter ratio of the foreign object according to the length and diameter of the foreign object; Judge the foreign object type corresponding to the foreign object according to the wire diameter ratio of the foreign object: If the wire diameter ratio of the foreign object is less than the preset wire diameter ratio threshold, judge that the foreign object type corresponding to the foreign object is a particulate foreign object; otherwise, judge that the foreign object type corresponding to the foreign object is a filamentous foreign object.

[0066] In this embodiment, judging whether the detection is qualified based on the wiping paper type and the foreign object type, in combination with the size of each foreign object and the quantity corresponding to different foreign object types, includes: Obtain the preset size standards corresponding to different wiping paper types and different foreign object types according to the wiping paper type and the foreign object type; If the sizes of all foreign objects are less than the corresponding preset size standards, judge that the sizes of the foreign objects meet the corresponding standard requirements; Obtain the preset quantity standards corresponding to different wiping paper types and different foreign object types according to the wiping paper type and the foreign object type; If the total quantity of foreign objects of the same foreign object type is less than the corresponding preset quantity standard, judge that the quantity of the foreign objects meets the corresponding standard requirements; If the size and quantity of the foreign objects both meet the corresponding standard requirements, judge that the detection is qualified; otherwise, judge that the detection is unqualified.

[0067] In this embodiment, when the high-voltage switch product is a circuit breaker, the area to be measured of the high-voltage switch product is divided into 7 areas, namely: the mechanism side end cover area, the mechanism side breaker contact area, the mechanism side hand hole area, the lower tank area, the area far from the mechanism side breaker contact, the area far from the mechanism side hand hole, and the area far from the mechanism side end cover.

[0068] In this embodiment, before judging whether the detection is qualified based on the wiping paper type and the foreign object type, in combination with the size of each foreign object and the quantity corresponding to different foreign object types, it includes: Correct the quantity of the foreign objects, specifically including: Obtain the preset correction quantity corresponding to different wiping paper types and different foreign object types according to the wiping paper type and the foreign object type; Based on the quantity of the extracted foreign objects and the preset correction quantity, calculate the corrected quantity of the foreign objects, and the specific formula is as follows: Corrected quantity of foreign objects = Quantity of extracted foreign objects - Preset correction quantity.

[0069] Such as Figure 12As shown in the figure, this embodiment also provides a foreign object quantitative detection system for high-voltage switch products, including: an extraction module, configured to extract foreign objects and foreign object feature data in the area to be measured of the high-voltage switch product on the wiping paper based on visual recognition; the foreign object feature data includes the size and quantity of the foreign objects; the size of the foreign objects includes the length and diameter of the foreign objects; a type judgment module, configured to obtain the wire diameter ratio of the foreign objects based on the length and diameter of the foreign objects, and determine the corresponding foreign object type for each foreign object according to the wire diameter ratio of the foreign objects; a detection module, based on the wiping paper type and the foreign object type, combined with the size of each foreign object and the quantity corresponding to different foreign object types, judges whether the detection is qualified: if the size and quantity of the foreign objects both meet the corresponding standard requirements, it is judged that the detection is qualified; otherwise, it is judged that the detection is unqualified.

[0070] The present invention also provides a foreign object quantitative detection device for high-voltage switch products, including: a memory, configured to store a computer program; a processor, configured to implement the steps of the foreign object quantitative detection method for high-voltage switch products when executing the computer program.

[0071] When the processor executes the computer program, it implements the above steps of foreign object quantitative detection for high-voltage switch products, for example: extracting foreign objects and foreign object feature data in the area to be measured of the high-voltage switch product on the wiping paper based on visual recognition; the foreign object feature data includes the size and quantity of the foreign objects; the size of the foreign objects includes the length and diameter of the foreign objects; obtaining the wire diameter ratio of the foreign objects based on the length and diameter of the foreign objects, and determining the corresponding foreign object type for each foreign object according to the wire diameter ratio of the foreign objects; based on the wiping paper type and the foreign object type, combined with the size of each foreign object and the quantity corresponding to different foreign object types, judging whether the detection is qualified: if the size and quantity of the foreign objects both meet the corresponding standard requirements, it is judged that the detection is qualified; otherwise, it is judged that the detection is unqualified.

[0072] Alternatively, when the processor executes the computer program, it implements the functions of each module in the above system, for example: an extraction module, configured to extract foreign objects and foreign object feature data in the area to be measured of the high-voltage switch product on the wiping paper based on visual recognition; the foreign object feature data includes the size and quantity of the foreign objects; the size of the foreign objects includes the length and diameter of the foreign objects; a type judgment module, configured to obtain the wire diameter ratio of the foreign objects based on the length and diameter of the foreign objects, and determine the corresponding foreign object type for each foreign object according to the wire diameter ratio of the foreign objects; a detection module, based on the wiping paper type and the foreign object type, combined with the size of each foreign object and the quantity corresponding to different foreign object types, judges whether the detection is qualified: if the size and quantity of the foreign objects both meet the corresponding standard requirements, it is judged that the detection is qualified; otherwise, it is judged that the detection is unqualified.

[0073] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing preset functions, and the instruction segments are used to describe the execution process of the computer program in the foreign object quantitative detection device for high-voltage switch products. For example, the computer program may be divided into an extraction module, a type determination module, and a detection module; the specific functions of each module are as follows: The extraction module is used to extract foreign objects and foreign object feature data in the area to be measured of the high-voltage switch product on the wiping paper based on a visual recognition method; the foreign object feature data includes the size and quantity of the foreign objects; the size of the foreign objects includes the length and diameter of the foreign objects; the type determination module is used to obtain the wire diameter ratio of the foreign objects based on the length and diameter of the foreign objects, and determine the foreign object type corresponding to each foreign object according to the wire diameter ratio of the foreign objects; the detection module is used to judge whether the detection is qualified based on the wiping paper type and the foreign object type, in combination with the size of each foreign object and the quantity corresponding to different foreign object types: if the size and quantity of the foreign objects both meet the corresponding standard requirements, it is judged that the detection is qualified; otherwise, it is judged that the detection is unqualified.

[0074] The foreign object quantitative detection device for high-voltage switch products may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The foreign object quantitative detection device for high-voltage switch products may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the above are examples of the foreign object quantitative detection device for high-voltage switch products, which do not constitute a limitation on the foreign object quantitative detection device for high-voltage switch products, and may include more components than the above, or combine some components, or different components. For example, the foreign object quantitative detection device for high-voltage switch products may further include an input / output device, a network access device, a bus, etc.

[0075] The so-called processor may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor, or the processor may also be any conventional processor, etc. The processor is the control center of the foreign object quantitative detection for high-voltage switch products, and connects various parts of the entire foreign object quantitative detection device for high-voltage switch products through various interfaces and lines.

[0076] The memory can be used to store the computer program and / or module. By running or executing the computer program and / or module stored in the memory, and invoking the data stored in the memory, the processor realizes various functions of the foreign object quantitative detection device for high-voltage switch products.

[0077] The memory may mainly include a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the mobile phone (such as audio data, phone book, etc.). In addition, the memory can include high-speed random access memory, and can also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one magnetic disk storage device, flash device, or other volatile solid-state storage devices.

[0078] The present invention also provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the foreign object quantitative detection method for high-voltage switch products are realized.

[0079] If the modules / units integrated in the foreign object quantitative detection system for high-voltage switch products are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.

[0080] Based on such an understanding, all or part of the processes in the foreign object quantitative detection method for high-voltage switch products of the present invention can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the foreign object quantitative detection method for high-voltage switch products can be realized. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or preset intermediate form, etc.

[0081] The computer-readable storage medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0082] It should be noted that the content included in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice within the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable storage medium does not include electrical carrier signals and telecommunication signals.

[0083] The above embodiments are only one of the implementation manners capable of implementing the technical solution of the present invention. The scope of protection required by the present invention is not limited solely by this embodiment, but also includes any changes, substitutions, and other implementation manners that are easily conceivable by those skilled in the art within the technical scope disclosed by the present invention.

[0084] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: it is still possible to modify the specific implementation manners of the present invention or make equivalent substitutions, and any modification or equivalent substitution that does not depart from the spirit and scope of the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for quantitatively detecting foreign objects in a high-voltage switch product, characterized in that, Including: Extracting foreign objects and foreign object feature data of the high-voltage switch product to-be-tested area on the wiping paper based on the visual recognition method; The foreign object feature data includes the size and quantity of the foreign objects; the size of the foreign objects includes the length and diameter of the foreign objects; Obtaining the wire diameter ratio of the foreign objects based on the length and diameter of the foreign objects, and determining the corresponding foreign object types of each foreign object according to the wire diameter ratio of the foreign objects; Based on the wiping paper type and foreign object type, combining the size of each foreign object and the quantity corresponding to different foreign object types, judging whether the detection is qualified: If the size and quantity of the foreign objects both meet the corresponding standard requirements, it is judged that the detection is qualified; otherwise, it is judged that the detection is unqualified.

2. The foreign object quantitative detection method for high-voltage switch products according to claim 1, characterized in that, The extracting of the foreign objects and foreign object feature data of the high-voltage switch product to-be-tested area on the wiping paper based on the visual recognition method includes: Performing visual photographing on the wiping paper with foreign objects in the high-voltage switch product to-be-tested area to obtain an image to be recognized; the image to be recognized has the wiping paper as the background, and there are particulate matters attached to the wiping paper; Based on the gray-scale difference value between the wiping paper and the particulate matters, extracting the foreign objects and foreign object feature data of the high-voltage switch product to-be-tested area.

3. The foreign object quantitative detection method for high-voltage switch products according to claim 2, characterized in that, The extracting of the foreign objects and foreign object feature data of the high-voltage switch product to-be-tested area based on the gray-scale difference value between the wiping paper and the particulate matters includes: Obtaining the gray-scale value of the wiping paper and the gray-scale value of the particulate matters to get the gray-scale difference value between the wiping paper and the particulate matters; wherein, the gray-scale value of the wiping paper is determined based on the wiping paper type; Comparing the gray-scale difference value between the wiping paper and the particulate matters with a preset gray-scale difference threshold value, and identifying the particulate matters that meet the gray-scale difference requirement as foreign objects; the wiping paper type includes a white wiping paper for insulating part sampling and a blue wiping paper for metal part sampling; Based on an effective size threshold value, eliminating the foreign objects that do not meet the effective size requirement, extracting the screened foreign objects as the foreign objects of the high-voltage switch product to-be-tested area, and at the same time extracting the feature data corresponding to the foreign objects of the high-voltage switch product to-be-tested area.

4. The foreign object quantitative detection method for high-voltage switch products according to claim 1, characterized in that, The obtaining of the wire diameter ratio of the foreign objects based on the length and diameter of the foreign objects, and determining the corresponding foreign object types of each foreign object according to the wire diameter ratio of the foreign objects includes: Calculating the wire diameter ratio of the foreign objects according to the length and diameter of the foreign objects; Judging the corresponding foreign object type of the foreign object according to the wire diameter ratio of the foreign object: If the wire diameter ratio of the foreign object is less than the preset wire diameter ratio threshold value, it is judged that the corresponding foreign object type of the foreign object is a particulate foreign object; otherwise, it is judged that the corresponding foreign object type of the foreign object is a filamentous foreign object.

5. The foreign object quantitative detection method for high-voltage switch products according to claim 1, characterized in that The judging of whether the detection is qualified based on the wiping paper type and foreign object type, combining the size of each foreign object and the quantity corresponding to different foreign object types includes: According to the wiping paper type and foreign object type, obtaining the preset size standards corresponding to different wiping paper types and different foreign object types; If the size of all foreign objects is less than the corresponding preset size standard, it is judged that the size of the foreign objects meets the corresponding standard requirements; According to the wiping paper type and foreign object type, obtaining the preset quantity standards corresponding to different wiping paper types and different foreign object types; If the total quantity of the foreign objects of the same foreign object type is less than the corresponding preset quantity standard, it is judged that the quantity of the foreign objects meets the corresponding standard requirements; If the size and quantity of the foreign objects both meet the corresponding standard requirements, it is judged that the detection is qualified; otherwise, it is judged that the detection is unqualified.

6. The foreign object quantitative detection method for high-voltage switch products according to claim 1, characterized in that When the high-voltage switch product is a circuit breaker, the area to be tested of the high-voltage switch product is divided into 7 regions, namely: the mechanism side end cover region, the mechanism side disconnection region, the mechanism side handhole region, the lower tank region, the region far from the mechanism side disconnection region, the region far from the mechanism side handhole region, and the region far from the mechanism side end cover region.

7. The foreign object quantitative detection method for high-voltage switch products according to claim 1, characterized in that Before judging whether the detection is qualified based on the wiping paper type and foreign object type, in combination with the size of each foreign object and the quantity corresponding to different foreign object types, it includes: Revise the quantity of foreign objects, specifically including: According to the wiping paper type and foreign object type, obtain the preset revision quantity corresponding to different wiping paper types and different foreign object types; Based on the quantity of the extracted foreign objects and the preset revision quantity, calculate the revised quantity of the foreign objects. The specific formula is as follows: The revised quantity of foreign objects = the quantity of the extracted foreign objects - the preset revision quantity.

8. A foreign object quantitative detection system for high-voltage switch products, characterized in that, It includes: An extraction module for extracting foreign objects and foreign object feature data in the area to be tested of the high-voltage switch product on the wiping paper based on the visual recognition method; The foreign object feature data includes the size and quantity of the foreign objects; the size of the foreign objects includes the length and diameter of the foreign objects; A type judgment module for obtaining the wire diameter ratio of the foreign objects based on the length and diameter of the foreign objects, and determining the corresponding foreign object type for each foreign object according to the wire diameter ratio of the foreign objects; A detection module for judging whether the detection is qualified based on the wiping paper type and foreign object type, in combination with the size of each foreign object and the quantity corresponding to different foreign object types: if the size and quantity of the foreign objects both meet the corresponding standard requirements, it is judged that the detection is qualified; otherwise, it is judged that the detection is unqualified.

9. A foreign object quantitative detection device for high-voltage switch products, characterized in that, It includes: A memory for storing computer programs; A processor for implementing the steps of the foreign object quantitative detection method for the high-voltage switch product according to any one of claims 1-7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that, The computer program, when executed by the processor, is used to implement the steps of the foreign object quantitative detection method for the high-voltage switch product according to any one of claims 1-7.

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