Collaborative optimization system for electromechanical characteristics and cooling performance of live working shielding clothes

Abstract

The invention relates to the technical field of intelligent control, in particular to a hot-line work shielding clothes electromechanical characteristic and cooling performance collaborative optimization system, which comprises a camera module used for collecting shielding clothes inner and outer surface image data and carrying out distinguishing identification and storage on the shielding clothes inner and outer surface image data; the calling module is used for calling the shielding clothes inner and outer surface image data acquired by the camera module and forwarding the called shielding clothes inner and outer surface image data to the identification module; the identification module is used for receiving the inner and outer surface image data of the shielding clothes and identifying the damage degree and the contamination degree based on the inner and outer surface image data of the shielding clothes; the shielding clothes surface image data are collected through the machine vision technology, the parameters such as the gray value are represented by integrating the shielding clothes surface image data, and the bidirectional detection effect on the damage defect and the contamination defect of the shielding clothes is achieved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a system for collaboratively optimizing the electromechanical characteristics and cooling performance of live working shielding clothing. Background Art

[0002] Live working shielding clothing is a professional clothing to ensure the safety of power workers. It generally has a multi-layer structure, the outer layer can effectively shield the electric field, the middle layer assists in conductivity and enhances shielding, and the inner layer ensures comfort. The overall has flame retardant and wear-resistant properties. Although the air permeability is limited, it builds a solid safety line for the smooth implementation of live working.

[0003] The invention patent with application number 201710618314.1 discloses a system for detecting the surface insulation performance of insulating clothing for live working, the system comprising a high-frequency pulse test voltage generator, a human body model bracket, a high-frequency high-voltage test ground electrode, an amplitude acquisition module, and an alarm module; the high-frequency pulse test voltage generator generates low-voltage high-frequency pulses through an IGBT oscillator circuit, and generates alternating pulse currents in the circuit after charging and discharging the capacitor, and a high-frequency step-up transformer is provided in the circuit formed by the pulse current; the human body model bracket is used to wear the insulating clothing and / or insulating gloves to be tested, and a number of grounding electrodes are provided on the human body model bracket; the high-frequency high-voltage test electrode is connected to the high-voltage output end of the high-frequency pulse test voltage generator, and the high-frequency high-voltage test electrode contacts different parts of the insulating clothing on the human body model bracket through an insulating rod; the amplitude acquisition module comprises a sampling resistor and a trigger circuit connected to the current loop, and when the current amplitude exceeds the set value, the trigger circuit connected to the sampling resistor is started, so that the alarm module sends an alarm signal.

[0004] The application aims to solve the problem that "after the insulating clothing is worn several times, its insulating performance changes greatly due to the penetration of sweat into the insulating clothing, and the insulation quality cannot be judged by visual inspection. If the insulating performance of the insulating clothing has been damaged, but the operator has not found any abnormality through routine appearance inspection, when wearing the insulating clothing for live work, it cannot provide effective insulation protection to prevent the human body from being connected to the circuit by phase-to-phase short circuit. At this time, it is very easy to cause operational hazards. Since the insulating performance of the insulating clothing cannot be effectively checked, the consequences are human casualties and accidents such as tripping of the power grid."

[0005] However, the current wearing and use scenarios of live working shielding clothing rely heavily on manual visual inspection before use, and its accuracy is random. When defects are detected on the surface of the shielding clothing, the staff will decide to repair or discard it according to the degree of the defect to ensure the safety of the shielding clothing used in each work. The above-mentioned means of manual visual inspection are also not suitable for all defects on the surface of the shielding clothing, and it is difficult to fully detect all defects on the surface of the shielding clothing, and thus it is impossible to fully repair and optimize or decide to discard it.

[0006] Therefore, a collaborative optimization system for the electromechanical characteristics and cooling performance of live working shielding clothing was proposed. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a system for collaboratively optimizing the electromechanical characteristics and cooling performance of live working shielding clothing, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] The coordinated optimization system of electromechanical characteristics and cooling performance of live working shielding clothing includes:

[0010] The camera module is used to collect image data of the inside and outside of the shielding suit, distinguish and identify the image data of the inside and outside of the shielding suit and store them; the retrieval module is used to retrieve the image data of the inside and outside of the shielding suit collected by the camera module, and forward the retrieved image data of the inside and outside of the shielding suit to the recognition module; the recognition module is used to receive the image data of the inside and outside of the shielding suit, and recognize the degree of damage and contamination based on the image data of the inside and outside of the shielding suit; the evaluation module is used to continuously receive the degree of damage and contamination of the shielding suit identified in the recognition module, and comprehensively evaluate the safety of the shielding suit based on the degree of damage and contamination of the shielding suit; the sniffing module is used to sniff the position of the surface defect of the shielding suit; the output module is used to receive the position of the surface defect of the shielding suit sniffed by the sniffing module, and output the position of the surface defect of the shielding suit;

[0011] Among them, the sniffing module decides to trigger execution based on the evaluation result of the evaluation module on the safety of the shielding suit; the location of the surface defect of the shielding suit is represented by the distinguishing mark of the image data inside and outside the shielding suit, which is the source of the defect of the shielding suit.

[0012] Furthermore, the camera module is integrated by an ultra-high-definition industrial camera. When the camera module collects the image data of the inside and outside of the shielding suit, the shielding suit is in a flat and flat state. The inside and outside images of the shielding suit account for 100% of each set of image data of the inside and outside of the shielding suit collected by the camera module. When collecting each set of image data of the inside and outside of the shielding suit, the collection distance and collection focal length of the camera module are equal.

[0013] The camera module is internally provided with submodules, including:

[0014] A storage unit, used for receiving the image data of the inside and outside of the shielding suit collected by the camera module, and storing the image data of the inside and outside of the shielding suit;

[0015] When the storage unit distinguishes and stores the image data of the inside and outside of the shielding suit, it simultaneously identifies whether the image data comes from the inside or outside of the shielding suit, and distinguishes and stores the image data of the inside and outside of the shielding suit;

[0016] When collecting the image data of the inner surface of the shielding suit, the shielding suit is turned inside out so that the inner surface of the shielding suit is placed outside in the same posture as when collecting the image data of the outer surface of the shielding suit, and then the collection operation of the image data of the inner surface of the shielding suit is performed.

[0017] Furthermore, the distinguishing identification logic of the image data of the inside and outside of the shielding suit in the camera module is represented as follows:

[0018] During the stage of collecting image data of the inside and outside of the shielding suit through the camera module, the shielding suit is clamped by two transparent glasses with grids, and the clamping operation is performed in a dust-free environment;

[0019] Determine the position coordinates of grid points on the transparent glass surface;

[0020] Setting a collection window for the camera module when collecting image data of the inside and outside of the shielding suit, collecting the image data of the inside and outside of the shielding suit based on the collection window, so that the boundary lines and corner points of the image data of the inside and outside of the shielding suit collected by the camera module all fall on the grid points on the transparent glass surface;

[0021] The image data of the inside and outside of the shielding suit are marked by using the position coordinates of the grid points corresponding to the boundary corner points of the image data of the inside and outside of the shielding suit;

[0022] The identification of the image data of the inside and outside of the shielding suit further includes text information of the “inside” or “outside” of the shielding suit from which the image data of the inside and outside of the shielding suit comes.

[0023] Furthermore, the source of the image data of the inside and outside of the shielding suit that the retrieval module operates to retrieve is a storage unit, and the retrieval module is provided with submodules at the lower level, including:

[0024] A control unit, used for controlling the retrieval module to continuously execute the retrieval operation of the image data of the inside and outside of the shielding suit;

[0025] Among them, the number of image data of the inside and outside of the shielding suit retrieved by the retrieval module each time it runs is two groups, and the areas on the shielding suit to which the two groups of image data of the inside and outside of the shielding suit retrieved belong are the front and back sides of each other. After the retrieval module runs and forwards the retrieved image data of the inside and outside of the shielding suit to the recognition module, the control unit synchronously monitors the running status of the recognition module. After the recognition module runs, it triggers the retrieval module to run again to execute the retrieval operation of the image data of the inside and outside of the shielding suit.

[0026] Furthermore, the identification module is provided with submodules at a lower level, including:

[0027] An optimization unit, used for acquiring the image data of the inside and outside of the shielding suit received by the recognition module, and optimizing the image data of the inside and outside of the shielding suit;

[0028] A recording unit, used to record the degree of damage and contamination of the shielding suit identified by the recognition module based on the image data of the inside and outside of the shielding suit;

[0029] Among them, the optimization unit is provided with an image data optimization processing logic, based on which the image data of the inside and outside of the shielding suit is optimized, and after the optimization is completed, the image data of the inside and outside of the shielding suit that has completed the optimization processing is returned to the recognition module. The recognition module is triggered to run after receiving the image data of the inside and outside of the shielding suit that has completed the optimization processing returned by the optimization unit, and performs the recognition operation of the degree of damage and contamination of the shielding suit with the image data of the inside and outside of the shielding suit that has completed the optimization processing.

[0030] Furthermore, the optimization processing logic of the image data of the inside and outside of the shielding suit in the optimization unit is expressed as:

[0031]

[0032] Where: I filtered( x, y) are pixels in the image data of the inside and outside of the shielding suit after optimization processing;

[0033] k2 is the filter window; i and j are the coordinate offsets of the current pixel point I(x, y) in the filter window; I(x, y) is the pixel in the image data of the inside and outside of the shielding suit;

[0034] Among them, each pixel in the shielding suit inner and outer surface image data is filtered based on the above formula to output the shielding suit inner and outer surface image data that has completed the optimization processing, that is, the shielding suit inner surface image data and the shielding suit outer surface image data.

[0035] Furthermore, the recognition logic of the degree of damage of the shielding suit in the recognition module is expressed as:

[0036] A set of image data is collected on a new and qualified shielding suit, the maximum grayscale value and the minimum grayscale value of the pixels in the image data are obtained, and a set of grayscale thresholds are set based on the maximum grayscale value and the minimum grayscale value;

[0037]

[0038] Where: S1 is the degree of damage of the shielding suit; q(η∩η0) is the number of pixels that meet the grayscale threshold η0 in the set η of the grayscale values ​​of each pixel in the image data of the inside and outside of the shielding suit; q(η) is the total number of pixels in the image data of the inside and outside of the shielding suit;

[0039] The greater the shielding suit damage degree S1 is, the higher the shielding suit damage degree is, and vice versa.

[0040] Furthermore, the identification logic of the contamination degree of the shielding suit in the identification module is expressed as:

[0041]

[0042] Where: S2 is the degree of contamination of the shielding suit; max(d) is the distance from the center point p0 of the image data center of the inside and outside of the shielding suit to the largest group of pixels in q(η∩η0); d ( p,p0) is the distance from pixel p to the center point p0 of the image data inside and outside the shielding suit;

[0043] The greater the contamination degree S2 of the shielding suit is, the higher the contamination degree of the shielding suit is, and vice versa.

[0044] Furthermore, the identification logic of the contamination degree of the shielding suit in the identification module is expressed as:

[0045]

[0046] Where: S2 is the degree of contamination of the shielding suit; max(d) is the distance from the center point p0 of the image data center of the inside and outside of the shielding suit to the largest group of pixels in q(η∩η0); d ( p,p0) is the distance from pixel p to the center point p0 of the image data inside and outside the shielding suit;

[0047] The greater the contamination degree S2 of the shielding suit is, the higher the contamination degree of the shielding suit is, and vice versa.

[0048] Furthermore, the camera module is interactively connected to a storage unit via a wireless network, the camera module is interactively connected to a retrieval module via a wireless network, the retrieval module is interactively connected to the storage unit via a wireless network, the retrieval module is interactively connected to a control unit via a wireless network, the retrieval module is interactively connected to an identification module via a wireless network, the identification module is interactively connected to an optimization unit and a recording unit via a wireless network, and the identification module is interactively connected to an evaluation module, a sniffing module and an output module via a wireless network.

[0049] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0050] The present invention provides a system for collaboratively optimizing the electromechanical characteristics and cooling performance of live working shielding clothing. During operation, the system collects surface image data of the shielding clothing through machine vision technology, and comprehensively analyzes parameters such as grayscale value of the surface image data of the shielding clothing to achieve a two-way detection effect on damage defects and contamination defects of the shielding clothing. At the same time, in the stage of collecting the surface image data of the shielding clothing, the collected surface image data of the shielding clothing is also optimized to improve the accuracy of the surface image data of the shielding clothing, and the shielding clothing is effectively and intelligently inspected, thereby assisting workers who work in the shielding clothing, and can carry out targeted repairs on the shielding clothing based on the system operation results to optimize its protective performance or make a more reference-based decision to abandon it. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0052] Figure 1 Schematic diagram of the structure of the system for collaboratively optimizing the electromechanical characteristics and cooling performance of live working shielding clothing. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] The present invention will be further described below in conjunction with the embodiments.

[0055] Example:

[0056] The electromechanical characteristics and cooling performance collaborative optimization system of the live working shielding suit of this embodiment is as follows: Figure 1 As shown, including:

[0057] The camera module is used to collect image data of the inside and outside of the shielding suit, distinguish and mark the image data of the inside and outside of the shielding suit, and store them;

[0058] The camera module is integrated with an ultra-clear industrial camera. When the camera module collects the image data of the inside and outside of the shielding suit, the shielding suit is in a flat and flat state. The inside and outside images of the shielding suit account for 100% of each set of image data of the inside and outside of the shielding suit collected by the camera module, and when collecting each set of image data of the inside and outside of the shielding suit, the collection distance and collection focal length of the camera module are equal;

[0059] The camera module is internally provided with submodules, including:

[0060] A storage unit, used for receiving the image data of the inside and outside of the shielding suit collected by the camera module, and storing the image data of the inside and outside of the shielding suit;

[0061] When the storage unit distinguishes and stores the image data of the inside and outside of the shielding suit, it simultaneously identifies whether the image data comes from the inside or outside of the shielding suit, and distinguishes and stores the image data of the inside and outside of the shielding suit;

[0062] When collecting the image data of the inner surface of the shielding suit, the shielding suit is turned inside out so that the inner surface of the shielding suit is placed outside and the placement of the shielding suit is the same as that when collecting the image data of the outer surface of the shielding suit, and then the collection operation of the image data of the inner surface of the shielding suit is performed;

[0063] A retrieving module, used to retrieve the image data of the inside and outside of the shielding suit collected by the camera module, and forward the retrieved image data of the inside and outside of the shielding suit to the recognition module;

[0064] The source of the image data of the inside and outside of the shielding suit is the storage unit. The submodules of the retrieval module include:

[0065] A control unit, used for controlling the retrieval module to continuously execute the retrieval operation of the image data of the inside and outside of the shielding suit;

[0066] The number of the image data of the inside and outside of the shielding suit retrieved by the retrieval module each time it runs is two groups, and the areas on the shielding suit to which the two groups of the image data of the inside and outside of the shielding suit retrieved belong are the front and back sides of the shielding suit corresponding to each other. After the retrieval module runs and forwards the retrieved image data of the inside and outside of the shielding suit to the recognition module, the control unit synchronously monitors the running status of the recognition module, and after the recognition module runs, it triggers the retrieval module to run again to execute the retrieval operation of the image data of the inside and outside of the shielding suit;

[0067] An identification module is used to receive image data of the inside and outside of the shielding suit, and identify the degree of damage and contamination based on the image data of the inside and outside of the shielding suit;

[0068] The identification module is provided with submodules at the lower level, including:

[0069] An optimization unit, used for acquiring the image data of the inside and outside of the shielding suit received by the recognition module, and optimizing the image data of the inside and outside of the shielding suit;

[0070] A recording unit, used to record the degree of damage and contamination of the shielding suit identified by the recognition module based on the image data of the inside and outside of the shielding suit;

[0071] The optimization unit is provided with an image data optimization processing logic, based on which the image data optimization processing logic is used to optimize the image data of the inside and outside of the shielding suit, and after the optimization processing is completed, the image data of the inside and outside of the shielding suit that has completed the optimization processing is returned to the recognition module, and the recognition module is triggered to run after receiving the image data of the inside and outside of the shielding suit that has completed the optimization processing returned by the optimization unit, and performs the recognition operation of the degree of damage and contamination of the shielding suit with the image data of the inside and outside of the shielding suit that has completed the optimization processing;

[0072] The optimization processing logic of the image data of the inside and outside of the shielding suit in the optimization unit is expressed as:

[0073]

[0074] Where: I filtered( x, y) are pixels in the image data of the inside and outside of the shielding suit after optimization processing;

[0075] k2 is the filter window; i and j are the coordinate offsets of the current pixel point I(x, y) in the filter window; I(x, y) is the pixel in the image data of the inside and outside of the shielding suit;

[0076] Wherein, based on the above formula, each pixel in the image data of the inside and outside of the shielding suit is filtered to output the image data of the inside and outside of the shielding suit after the optimization processing, that is, the image data of the inside of the shielding suit and the image data of the outside of the shielding suit;

[0077] Through the above-mentioned optimization processing logic of the image data of the inside and outside of the shielding suit, the image data of the inside and outside of the shielding suit collected by the system is optimized to improve the accuracy of the final output result of the system operation.

[0078] The recognition logic of shielding suit damage degree in the recognition module is expressed as:

[0079] A set of image data is collected on a new and qualified shielding suit, the maximum grayscale value and the minimum grayscale value of the pixels in the image data are obtained, and a set of grayscale thresholds are set based on the maximum grayscale value and the minimum grayscale value;

[0080]

[0081] Where: S1 is the degree of damage of the shielding suit; q(η∩η0) is the number of pixels that meet the grayscale threshold η0 in the set η of the grayscale values ​​of each pixel in the image data of the inside and outside of the shielding suit; q(η) is the total number of pixels in the image data of the inside and outside of the shielding suit;

[0082] The greater the shielding suit damage degree S1 is, the higher the shielding suit damage degree is, and vice versa, the lower the shielding suit damage degree is.

[0083] The identification logic of the contamination degree of the shielding suit in the identification module is expressed as:

[0084]

[0085] Where: S2 is the degree of contamination of the shielding suit; max(d) is the distance from the center point p0 of the image data center of the inside and outside of the shielding suit to the largest group of pixels in q(η∩η0); d ( p,p0) is the distance from pixel p to the center point p0 of the image data inside and outside the shielding suit;

[0086] The greater the contamination degree S2 of the shielding suit, the higher the contamination degree of the shielding suit, and vice versa, the lower the contamination degree of the shielding suit;

[0087] Through the above logical formula, the degree of damage and contamination of the shielding suit can be digitally identified and represented, providing necessary data support for the safety assessment of the shielding suit.

[0088] An evaluation module is used to continuously receive the degree of damage and contamination of the shielding suit identified by the identification module, and comprehensively evaluate the safety of the shielding suit based on the degree of damage and contamination of the shielding suit;

[0089] The safety evaluation logic of shielding suits in the evaluation module is expressed as:

[0090]

[0091] Where: E is the safety performance value of the shielding suit; Q is the total number of sets of image data inside and outside the shielding suit; ( S1) c The damage degree of the shielding suit of group c of image data of the inside and outside of the shielding suit; ( S2) c The contamination degree of the shielding suit of the cth group of shielding suit inner and outer surface image data;

[0092] Among them, the smaller the shielding suit safety performance value E is, the safer the shielding suit is, and vice versa, the lower the safety performance of the shielding suit is. When the shielding suit safety performance value E is set to ≥ 0.3, it means that the shielding suit is damaged. When the shielding suit safety performance value E is < 0.3, the sniffing module is triggered to run;

[0093] The security of the shielding suit is calculated through the above logical formula, thereby providing trigger conditions for the operation of the sniffing module in the above system and providing decision-making support for whether the shielding suit should be discarded.

[0094] During the operation phase of the sniffing module, S1 and S2 corresponding to each group of shielding suit internal and external image data are obtained. In the S1 and S2 corresponding to the same group of shielding suit internal and external image data: when S1≥0.3 and S2≥0.2 meet any of the conditions, the shielding suit internal and external image data corresponding to S1 and S2 correspond to the upper area of ​​the shielding suit, which is determined to be the position of the surface defect of the shielding suit;

[0095] Sniffing module, used to sniff the defect position on the surface of the shielding suit;

[0096] An output module is used to receive the position of the defect on the surface of the shielding suit detected by the sniffing module and output the position of the defect on the surface of the shielding suit;

[0097] Among them, the sniffing module triggers the execution according to the evaluation result of the evaluation module on the safety of the shielding suit; the position of the surface defect of the shielding suit is represented by the distinguishing mark of the image data inside and outside the shielding suit where the defect is from;

[0098] The camera module is interactively connected to a storage unit via a wireless network, the camera module is interactively connected to a retrieval module via a wireless network, the retrieval module is interactively connected to the storage unit via a wireless network, the retrieval module is interactively connected to a control unit at a lower level via a wireless network, the retrieval module is interactively connected to an identification module via a wireless network, the identification module is interactively connected to an optimization unit and a recording unit at a lower level via a wireless network, and the identification module is interactively connected to an evaluation module, a sniffing module and an output module via a wireless network.

[0099] In this embodiment, the camera module is operated to collect image data of the inside and outside of the shielding suit, and the image data of the inside and outside of the shielding suit is distinguished and stored. The storage unit synchronously receives the image data of the inside and outside of the shielding suit collected by the camera module, and stores the image data of the inside and outside of the shielding suit. The retrieval module further retrieves the image data of the inside and outside of the shielding suit collected by the camera module, and forwards the retrieved image data of the inside and outside of the shielding suit to the recognition module. The control unit synchronously controls the retrieval module to operate and continuously execute the retrieval operation of the image data of the inside and outside of the shielding suit. The recognition module further receives the image data of the inside and outside of the shielding suit, and recognizes the degree of damage based on the image data of the inside and outside of the shielding suit. The optimization unit synchronously obtains the image data of the inside and outside of the shielding suit received by the recognition module, optimizes the image data of the inside and outside of the shielding suit, and the recording unit records in real time the damage degree and contamination degree of the shielding suit identified by the recognition module based on the image data of the inside and outside of the shielding suit. The evaluation module continuously receives the damage degree and contamination degree of the shielding suit identified by the recognition module, and comprehensively evaluates the safety of the shielding suit based on the damage degree and contamination degree of the shielding suit. The sniffing module is post-operated to sniff the surface defect position of the shielding suit, and finally the surface defect position of the shielding suit sniffed by the sniffing module is received by the output module, and the surface defect position of the shielding suit is output;

[0100] Through the operation of the system in the above embodiment, an intelligent safety performance comprehensive evaluation technology is provided for the live working shielding clothing, so that the live working shielding clothing no longer relies on manual visual inspection before use, which effectively ensures the safety of the use of the live working shielding clothing. Based on the system, when defects are detected on the surface of the shielding clothing, the user of the shielding clothing can optimize the protective performance of the shielding clothing by repairing it, or decide to discard the shielding clothing and use a new shielding clothing to carry out live working, so as to ensure the work safety of the staff.

[0101] like Figure 1 As shown, the distinguishing identification logic of the image data of the inside and outside of the shielding suit in the camera module is expressed as:

[0102] During the stage of collecting image data of the inside and outside of the shielding suit through the camera module, the shielding suit is clamped by two transparent glasses with grids, and the clamping operation is performed in a dust-free environment;

[0103] Determine the position coordinates of grid points on the transparent glass surface;

[0104] Setting a collection window for the camera module when collecting image data of the inside and outside of the shielding suit, collecting the image data of the inside and outside of the shielding suit based on the collection window, so that the boundary lines and corner points of the image data of the inside and outside of the shielding suit collected by the camera module all fall on the grid points on the transparent glass surface;

[0105] The image data of the inside and outside of the shielding suit are marked by using the position coordinates of the grid points corresponding to the boundary corner points of the image data of the inside and outside of the shielding suit;

[0106] The identification of the image data of the inside and outside of the shielding suit also includes text information of the “inside” or “outside” of the shielding suit from which the image data of the inside and outside of the shielding suit comes.

[0107] Through the above settings, the distinguishing identification logic of the image data of the inside and outside of the shielding suit is further limited, providing necessary operation data support for the operation of the system in the above embodiment.

[0108] In summary, in the above-mentioned embodiment, during operation, the system collects the surface image data of the shielding suit through machine vision technology, and comprehensively considers parameters such as the grayscale value of the surface image data of the shielding suit to achieve a two-way detection effect on the damage defects and contamination defects of the shielding suit. At the same time, in the stage of collecting the surface image data of the shielding suit, the collected surface image data of the shielding suit is also optimized to improve the accuracy of the surface image data of the shielding suit, and effectively and intelligently inspect the shielding suit, thereby assisting the staff who work in the shielding suit, and being able to carry out targeted repairs on the shielding suit based on the system operation results to optimize its protective performance or make a more reference-based decision to abandon it.

[0109] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A system for collaboratively optimizing the electromechanical characteristics and cooling performance of live working shielding clothing, characterized in that: include: The camera module is used to collect image data of the inside and outside of the shielding suit, distinguish and mark the image data of the inside and outside of the shielding suit, and store them; A retrieving module, used to retrieve the image data of the inside and outside of the shielding suit collected by the camera module, and forward the retrieved image data of the inside and outside of the shielding suit to the recognition module; An identification module is used to receive image data of the inside and outside of the shielding suit, and identify the degree of damage and contamination based on the image data of the inside and outside of the shielding suit; An evaluation module is used to continuously receive the degree of damage and contamination of the shielding suit identified by the identification module, and comprehensively evaluate the safety of the shielding suit based on the degree of damage and contamination of the shielding suit; Sniffing module, used to sniff the defect position on the surface of the shielding suit; An output module is used to receive the position of the defect on the surface of the shielding suit detected by the sniffing module and output the position of the defect on the surface of the shielding suit; Among them, the sniffing module triggers execution according to the evaluation result of the evaluation module on the safety of the shielding suit; The location of the surface defect of the shielding suit is indicated by the distinguishing mark of the image data of the inside and outside of the shielding suit, which is the source of the defect of the shielding suit.

2. The system for collaboratively optimizing electromechanical characteristics and cooling performance of live working shielding clothing according to claim 1 is characterized in that: The camera module is integrated with an ultra-high-definition industrial camera. When the camera module collects image data of the inside and outside of the shielding suit, the shielding suit is in a flat and flat state. The inside and outside images of the shielding suit account for 100% of each set of image data of the inside and outside of the shielding suit collected by the camera module. When collecting each set of image data of the inside and outside of the shielding suit, the collection distance and collection focal length of the camera module are equal. The camera module is internally provided with submodules, including: A storage unit, used for receiving the image data of the inside and outside of the shielding suit collected by the camera module, and storing the image data of the inside and outside of the shielding suit; When the storage unit distinguishes and stores the image data of the inside and outside of the shielding suit, it simultaneously identifies whether the image data comes from the inside or outside of the shielding suit, and distinguishes and stores the image data of the inside and outside of the shielding suit; When collecting the image data of the inner surface of the shielding suit, the shielding suit is turned inside out so that the inner surface of the shielding suit is placed outside in the same posture as when collecting the image data of the outer surface of the shielding suit, and then the collection operation of the image data of the inner surface of the shielding suit is performed.

3. The system for collaboratively optimizing electromechanical characteristics and cooling performance of live working shielding clothing according to claim 2 is characterized in that: The distinguishing identification logic of the image data of the inside and outside of the shielding suit in the camera module is expressed as follows: During the stage of collecting image data of the inside and outside of the shielding suit through the camera module, the shielding suit is clamped by two transparent glasses with grids, and the clamping operation is performed in a dust-free environment; Determine the position coordinates of grid points on the transparent glass surface; Setting a collection window for the camera module when collecting image data of the inside and outside of the shielding suit, collecting the image data of the inside and outside of the shielding suit based on the collection window, so that the boundary lines and corner points of the image data of the inside and outside of the shielding suit collected by the camera module all fall on the grid points on the transparent glass surface; The image data of the inside and outside of the shielding suit are marked by using the position coordinates of the grid points corresponding to the boundary corner points of the image data of the inside and outside of the shielding suit; The identification of the image data of the inside and outside of the shielding suit further includes text information of the “inside” or “outside” of the shielding suit from which the image data of the inside and outside of the shielding suit comes.

4. The system for collaboratively optimizing electromechanical characteristics and cooling performance of live working shielding clothing according to claim 2 is characterized in that: The source of the image data of the inside and outside of the shielding suit that the retrieval module operates to retrieve is the storage unit, and the retrieval module is provided with submodules at the lower level, including: A control unit, used for controlling the retrieval module to continuously execute the retrieval operation of the image data of the inside and outside of the shielding suit; Among them, the number of image data of the inside and outside of the shielding suit retrieved by the retrieval module each time it runs is two groups, and the areas on the shielding suit to which the two groups of image data of the inside and outside of the shielding suit retrieved belong are the front and back sides of each other. After the retrieval module runs and forwards the retrieved image data of the inside and outside of the shielding suit to the recognition module, the control unit synchronously monitors the running status of the recognition module. After the recognition module runs, it triggers the retrieval module to run again to execute the retrieval operation of the image data of the inside and outside of the shielding suit.

5. The system for collaboratively optimizing electromechanical characteristics and cooling performance of live working shielding clothing according to claim 1 is characterized in that: The identification module is provided with submodules at the lower level, including: An optimization unit, used for acquiring the image data of the inside and outside of the shielding suit received by the recognition module, and optimizing the image data of the inside and outside of the shielding suit; A recording unit, used to record the degree of damage and contamination of the shielding suit identified by the recognition module based on the image data of the inside and outside of the shielding suit; Among them, the optimization unit is provided with an image data optimization processing logic, based on which the image data of the inside and outside of the shielding suit is optimized, and after the optimization is completed, the image data of the inside and outside of the shielding suit that has completed the optimization processing is returned to the recognition module. The recognition module is triggered to run after receiving the image data of the inside and outside of the shielding suit that has completed the optimization processing returned by the optimization unit, and performs the recognition operation of the degree of damage and contamination of the shielding suit with the image data of the inside and outside of the shielding suit that has completed the optimization processing.

6. The system for collaboratively optimizing electromechanical characteristics and cooling performance of live working shielding clothing according to claim 5 is characterized in that: The optimization processing logic of the image data of the inside and outside of the shielding suit in the optimization unit is expressed as follows: Where: I filtered (x, y) is the pixel in the image data of the inside and outside of the shielding suit after optimization processing; k 2 is the filter window; i and j are the coordinate offsets of the current pixel point I(x, y) in the filter window; I(x, y) is the pixel in the image data of the inside and outside of the shielding suit; Among them, each pixel in the shielding suit inner and outer surface image data is filtered based on the above formula to output the shielding suit inner and outer surface image data that has completed the optimization processing, that is, the shielding suit inner surface image data and the shielding suit outer surface image data.

7. The system for collaboratively optimizing electromechanical characteristics and cooling performance of live working shielding clothing according to claim 1 is characterized in that: The recognition logic of the degree of damage of the shielding suit in the recognition module is expressed as follows: A set of image data is collected on a new and qualified shielding suit, the maximum grayscale value and the minimum grayscale value of the pixels in the image data are obtained, and a set of grayscale thresholds are set based on the maximum grayscale value and the minimum grayscale value; Where: S1 is the degree of damage of the shielding suit; q(η∩η0) is the number of pixels that meet the grayscale threshold η0 in the set η of the grayscale values ​​of each pixel in the image data of the inside and outside of the shielding suit; q(η) is the total number of pixels in the image data of the inside and outside of the shielding suit; The greater the shielding suit damage degree S1 is, the higher the shielding suit damage degree is, and vice versa.

8. The system for collaboratively optimizing electromechanical characteristics and cooling performance of live working shielding clothing according to claim 7 is characterized in that: The identification logic of the contamination degree of the shielding suit in the identification module is expressed as: Where: S2 is the degree of contamination of the shielding suit; max(d) is the distance from the largest group of pixels to the center point p0 of the image center of the inside and outside of the shielding suit in q(η∩η0); d(p,p0) is the distance from pixel p to the center point p0 of the image center of the inside and outside of the shielding suit; The greater the contamination degree S2 of the shielding suit is, the higher the contamination degree of the shielding suit is, and vice versa.

9. The system for collaboratively optimizing electromechanical characteristics and cooling performance of live working shielding clothing according to claim 1 is characterized in that: The logic of shielding suit safety assessment in the evaluation module is expressed as: Where: E is the safety performance value of the shielding suit; Q is the total number of sets of image data inside and outside the shielding suit; (S1) c The degree of damage of the shielding suit of the cth group of shielding suit internal and external image data; (S2) c The contamination degree of the shielding suit of the cth group of shielding suit inner and outer surface image data; Among them, the smaller the shielding suit safety performance value E is, the safer the shielding suit is, and vice versa, the lower the safety performance of the shielding suit is. When the shielding suit safety performance value E is set to ≥ 0.3, it means that the shielding suit is damaged. When the shielding suit safety performance value E is < 0.3, the sniffing module is triggered to run; During the operation stage of the sniffing module, S1 and S2 corresponding to each group of image data of the inside and outside of the shielding suit are obtained. In the S1 and S2 corresponding to the same group of image data of the inside and outside of the shielding suit: when any condition is met, S1≥0.3 and S2≥0.2, the image data of the inside and outside of the shielding suit corresponding to S1 and S2 correspond to the area on the shielding suit, which is determined to be the surface defect location of the shielding suit.

10. The system for collaboratively optimizing electromechanical characteristics and cooling performance of live working shielding clothing according to claim 1, characterized in that: The camera module is interactively connected to a storage unit via a wireless network, the camera module is interactively connected to a retrieval module via a wireless network, the retrieval module is interactively connected to the storage unit via a wireless network, the retrieval module is interactively connected to a control unit via a wireless network, the retrieval module is interactively connected to an identification module via a wireless network, the identification module is interactively connected to an optimization unit and a recording unit via a wireless network, and the identification module is interactively connected to an evaluation module, a sniffing module and an output module via a wireless network.

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