Electrogas welding operation control system based on face recognition

Abstract

The invention relates to the technical field of face recognition, and discloses an electro-gas welding operation control system based on face recognition, which comprises an image acquisition module, an equipment safety judgment module, a face data analysis module, an authority control module, a welding control module, an electric leakage detection module and a safety monitoring module, the image acquisition module captures a face image of an operator and a wearing condition of personal protective equipment of the operator in real time through a high-resolution camera; and the equipment safety judgment module is used for analyzing and judging the wearing states of the working clothes, the welding caps, the leather gloves and the working shoes of the operator. The fatigue state of an operator is analyzed and the safety of the operator is judged through the eye characteristics, the facial muscle characteristics and the facial symmetry of the operator captured by the image acquisition module, and whether the operation of electro-gas welding can be carried out or not is given, so that welding accidents can be effectively avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of face recognition, and more specifically to an electric welding operation control system based on face recognition. Background Art

[0002] The electric welding operation control system based on face recognition is a system that uses biometric technology to improve welding safety and efficiency. This system can combine face recognition technology, intelligent control systems and electric welding equipment to monitor and manage welding operations. The electric welding operation control system based on face recognition has the potential to significantly improve the safety and efficiency of welding work.

[0003] The existing patent discloses a laser arc hybrid welding electrical control system (publication number CN215432112U), including an operation module, a control module, a laser module, a motion module, a welding module, a power supply device, and a monitoring module; the control module includes an industrial computer, a switch, a screen splitter, and a control device, all of which are arranged in a control cabinet; the operation module includes a display, a touch screen, and an operation table, which is an operating platform for the electric control system and provides a monitoring screen and an operation interface for the electric control system; the laser module includes a fiber laser and a cooler. In the electrical welding control system disclosed in the patent, it is not possible to collect the operator's facial features and physiological features in advance, and analyze the operator's mental state based on these facial features and physiological features. This mental state can determine whether to perform electric welding operations, so that accidents can be avoided in advance. Summary of the invention

[0004] The main technical problem solved by the present invention is to provide an electric welding operation control system based on face recognition, which solves the problems in the above-mentioned background technology.

[0005] To solve the above technical problems, according to one aspect of the present invention, more specifically, an electric welding operation control system based on face recognition includes an image acquisition module, an equipment safety judgment module, a face data analysis module, an authority control module, a welding control module, a leakage detection module and a safety monitoring module; The image acquisition module captures the operator's facial image and the wearing status of the operator's personal protective equipment in real time through a high-resolution camera; The equipment safety judgment module is used to analyze and judge the wearing status of the operator's work clothes, welding helmet, leather gloves and work shoes; The face data analysis module is used to analyze the emotional state of the operator before performing the electric welding operation based on the features captured from the operator's face; and to judge the operator's physical state through the set heart rate, blood pressure, and blood oxygen sensors; The authority control module is used to verify the identity of the operator and compare it with a preset authority database to confirm whether the operator is authorized to perform electric welding operations; The welding control module is used to directly control the welding machine for electric welding; The leakage detection module is used to detect whether leakage occurs during welding by the operator, and can provide feedback to the safety monitoring module to cut off the power when leakage occurs; The safety monitoring module monitors the operator's operating status in real time according to the image acquisition module, and analyzes and determines whether the operator has an electric shock.

[0006] Furthermore, the face data analysis module specifically includes: an emotion analysis module and a state analysis module; The emotion analysis module analyzes the emotional state of the operator through the facial features captured by the image acquisition module; The state analysis module analyzes the operator's physical state through a touch heart rate sensor, a blood pressure sensor, and a blood oxygen sensor.

[0007] Furthermore, the face data analysis module analyzes the fatigue state of the operator based on the captured eye features, facial muscle features and facial symmetry of the operator, including:

[0008] in, Indicates the operator's fatigue index, The larger the value, the more fatigued the operator is; Indicates the number of facial wrinkles on the operator; It represents the average number of wrinkles per month for the operator; Indicates the uneven skin color ratio of the operator's face; and:

[0009] In the formula, Indicates the probability of operator eye sluggishness, The larger the value, the slower the operator's response; It represents the shrinkage response time of the operator's pupil to the change of light; Indicates the amount by which the operator's pupil diameter shrinks due to changes in illumination.

[0010] Furthermore, the face data analysis module combines the heart rate, blood pressure, and blood oxygen status of the operator with the heart rate, blood pressure, and blood oxygen sensors to analyze the physiological vitality characteristics of the operator, including:

[0011] In the formula, Represents the vitality index of the operator. The larger the value of, the more energetic the operator is; Indicates the operator's real-time blood pressure. Indicates the operator's real-time blood oxygen status. Indicates the operator's real-time heart rate.

[0012] Furthermore, the facial analysis module is used to analyze the operator's face, and combined with the analysis results of the operator's physiological characteristics using the heart rate, blood pressure, and blood oxygen sensors, a comprehensive analysis is performed to evaluate whether the operator can perform electrical welding operations, including:

[0013] In the formula, Indicates the pass rate of operators who can perform electrical welding operations. represents the vitality index of the operator, Indicates the operator's fatigue index.

[0014] Furthermore, when , it means that the operator is able to perform the welding operation; when , it means that the operator cannot perform the welding operation.

[0015] Furthermore, the authority control module specifically includes: an identity authentication module and a real-time feedback module; The identity verification module verifies the identity of the operator based on the facial features of the operator captured by the image acquisition module; The real-time feedback module is used to determine whether the operator has the right to perform welding operations based on the operator's identity information. If the identification fails or an unauthorized person is identified, the welding equipment can be disabled in a timely manner.

[0016] Furthermore, the equipment safety judgment module collects the operator's personal equipment wearing status through the image acquisition module, determines whether the equipment is worn properly and feeds back to the authority control module.

[0017] The beneficial effects of the electric welding operation control system based on face recognition of the present invention are: 1. The present invention uses an image acquisition module to capture the operator's eye features, facial muscle features and facial symmetry to analyze the operator's fatigue state, judge the operator's safety, and determine whether electric welding can be performed, which can effectively avoid the occurrence of welding accidents.

[0018] 2. The present invention uses heart rate, blood pressure and blood oxygen sensors to measure the operator's real-time heart rate, blood pressure and blood oxygen status to analyze the operator's physiological vitality characteristics, and combines these physiological vitality indicators with the fatigue characteristics of face recognition, which can improve the accuracy of judging the operator's physical condition. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0020] Figure 1 It is a structural schematic diagram of the present invention. DETAILED DESCRIPTION

[0021] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0022] like Figure 1 As shown, according to one aspect of the present invention, there is provided an electric welding operation control system based on face recognition, including an image acquisition module, an equipment safety judgment module, a face data analysis module, an authority control module, a welding control module, a leakage detection module and a safety monitoring module; the image acquisition module is used to capture the operator's eye features, facial muscle features and facial symmetry to analyze the operator's fatigue state, judge the operator's safety, and determine whether electric welding operations can be performed, thereby effectively avoiding the occurrence of welding accidents.

[0023] The image acquisition module uses a high-resolution camera to capture the operator's facial image and the wearing status of the operator's personal protective equipment in real time; the equipment safety judgment module is used to analyze and judge the wearing status of the operator's work clothes, welding helmet, leather gloves and work shoes; and the equipment safety judgment module uses the image acquisition module to collect the operator's personal equipment wearing status, judge whether the equipment is worn properly and feedback to the authority control module.

[0024] The facial data analysis module is used to analyze the emotional state of the operator before performing electrical welding work based on the features captured from the operator's face; and to judge the operator's physical condition through the set heart rate, blood pressure, and blood oxygen sensors; the operator's real-time heart rate, blood pressure, and blood oxygen status are measured by the heart rate, blood pressure, and blood oxygen sensors to analyze the operator's physiological vitality characteristics, and these physiological vitality indicators are combined with the fatigue characteristics of facial recognition to improve the accuracy of judging the operator's physical condition.

[0025] The authority control module is used to verify the identity of the operator and compare it with the pre-set authority database to confirm whether the operator is authorized to perform electric welding operations; the welding control module is used to directly control the welding machine used for electric welding; the leakage detection module is used to detect whether there is leakage during the welding process of the operator, and when leakage occurs, it can feedback to the safety monitoring module to cut off the power; the safety monitoring module monitors the operator's operating status in real time according to the image acquisition module, and analyzes and determines whether the operator has electric shock.

[0026] In this embodiment, the face data analysis module specifically includes: an emotion analysis module and a state analysis module; the emotion analysis module analyzes the emotional state of the operator through the facial features captured by the image acquisition module; the state analysis module analyzes the physical state of the operator through the touch heart rate sensor, blood pressure, and blood oxygen sensor. The face data analysis module analyzes the fatigue state of the operator based on the captured eye features, facial muscle features, and facial symmetry of the operator, including:

[0027] in, Indicates the operator's fatigue index, The larger the value, the more fatigued the operator is; Indicates the number of facial wrinkles on the operator; It represents the average number of wrinkles per month for the operator; Indicates the uneven skin color ratio of the operator's face; and:

[0028] In the formula, Indicates the probability of operator eye sluggishness, The larger the value, the slower the operator's response; It represents the shrinkage response time of the operator's pupil to the change of light; Indicates the amount by which the operator's pupil diameter shrinks due to changes in illumination.

[0029] The image acquisition module captures the facial features of operator X, and the shrinkage response time of operator X's pupil due to light changes is measured. (seconds), the shrinkage of operator X's pupil diameter due to the change in illumination is (mm), then the eye retardation index of operator X is:

[0030] From the above calculation, we can know that the probability of operator X's eye retardation is The probability of operator X's eyes being slow indicates that whether operator X's eyes are slow to respond is determined by collecting the pupil's contraction response time and the amount of pupil contraction due to changes in light.

[0031] And, the number of facial wrinkles of operator X is , the average number of wrinkles of operator X per month is , the operator's facial skin color unevenness ratio (The uneven skin color ratio of the operator's face refers to the ratio of the area of ​​eye circles to the total area of ​​the face) Then there are:

[0032] From the above calculation, we can know that the fatigue index of operator X is .

[0033] And, when , it indicates that the operator is in a fatigue state.

[0034] In this embodiment, the face data analysis module combines the heart rate, blood pressure, and blood oxygen status of the operator with the real-time heart rate, blood pressure, and blood oxygen status of the operator to analyze the physiological vitality characteristics of the operator, including:

[0035] In the formula, Represents the vitality index of the operator. The larger the value of, the more energetic the operator is; Indicates the operator's real-time blood pressure. Indicates the operator's real-time blood oxygen status. Indicates the operator's real-time heart rate.

[0036] In addition, the face data analysis module combines the heart rate, blood pressure, and blood oxygen sensors to collect the real-time heart rate, blood pressure, and blood oxygen status of operator X. The real-time high and medium pressure levels of operator X are measured. (mmHg), operator X's real-time arterial oxygen saturation , the real-time heart rate of operator X is taken (times / minute), then:

[0037] From the above calculation, we can know that the physiological vitality index of operator X is .

[0038] In this embodiment, the facial analysis module is used to analyze the operator's face, and combined with the analysis results of the operator's physiological characteristics using the heart rate, blood pressure, and blood oxygen sensors, a comprehensive analysis is performed to evaluate whether the operator can perform electrical welding operations. The results are:

[0039] In the formula, Indicates the pass rate of operators who can perform electrical welding operations. represents the vitality index of the operator, Indicates the operator's fatigue index.

[0040] In this embodiment, when , it means that the operator is able to perform the welding operation; when , it means that the operator cannot perform the welding operation.

[0041] Based on the above comprehensive analysis of the vitality index and fatigue index of operator X, we have:

[0042] From the above calculation, we can know that the pass rate of electric welding operation that operator X can perform is , that is, the operator X cannot perform the welding operation this time.

[0043] In this embodiment, the authority control module specifically includes: an identity authentication module and a real-time feedback module; the identity authentication module verifies the identity of the operator based on the facial features of the operator acquired by the image acquisition module; the real-time feedback module is used to determine whether the operator has the right to perform welding operations based on the operator's identity information, and the welding equipment can be disabled in a timely manner if the identification fails or an unauthorized person is identified.

[0044] Of course, the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by ordinary technicians in this technical field within the essential scope of the present invention also fall within the protection scope of the present invention.

Claims

1. An electric welding operation control system based on face recognition, It is characterized in that It includes image acquisition module, equipment safety judgment module, face data analysis module, authority control module, welding control module, leakage detection module and safety monitoring module; The image acquisition module captures the operator's facial image and the wearing status of the operator's personal protective equipment in real time through a high-resolution camera; The equipment safety judgment module is used to analyze and judge the wearing status of the operator's work clothes, welding helmet, leather gloves and work shoes; The face data analysis module is used to analyze the emotional state of the operator before performing the electric welding operation based on the features captured from the operator's face; and to judge the operator's physical state through the set heart rate, blood pressure, and blood oxygen sensors; The authority control module is used to verify the identity of the operator and compare it with a preset authority database to confirm whether the operator is authorized to perform electric welding operations; The welding control module is used to directly control the welding machine for electric welding; The leakage detection module is used to detect whether leakage occurs during welding by the operator, and can provide feedback to the safety monitoring module to cut off the power when leakage occurs; The safety monitoring module monitors the operator's operating status in real time according to the image acquisition module, and analyzes and determines whether the operator has an electric shock.

2. The electric welding operation control system based on face recognition according to claim 1, Features: The face data analysis module specifically includes: an emotion analysis module and a state analysis module; The emotion analysis module analyzes the emotional state of the operator through the facial features captured by the image acquisition module; The state analysis module analyzes the operator's physical state through a touch heart rate sensor, a blood pressure sensor, and a blood oxygen sensor.

3. The electric welding operation control system based on face recognition according to claim 1, Features: The face data analysis module analyzes the fatigue state of the operator based on the captured eye features, facial muscle features and facial symmetry of the operator, including: in, Indicates the operator's fatigue index, The larger the value, the more fatigued the operator is; Indicates the number of facial wrinkles on the operator; It represents the average number of wrinkles per month for the operator; Indicates the uneven skin color ratio of the operator's face; and: In the formula, Indicates the probability of operator eye sluggishness, The larger the value, the slower the operator's response; It represents the shrinkage response time of the operator's pupil to the change of light; Indicates the amount by which the operator's pupil diameter shrinks due to changes in illumination.

4. The electric welding operation control system based on face recognition according to claim 3, Features: The face data analysis module combines the heart rate, blood pressure, and blood oxygen status of the operator with the real-time heart rate, blood pressure, and blood oxygen status of the operator to analyze the physiological vitality characteristics of the operator, including: In the formula, Represents the vitality index of the operator. The larger the value of, the more energetic the operator is; Indicates the operator's real-time blood pressure. Indicates the operator's real-time blood oxygen status. Indicates the operator's real-time heart rate.

5. The electric welding operation control system based on face recognition according to claim 4, Features: The facial analysis module is used to analyze the operator's face, and combined with the analysis results of the operator's physiological characteristics using the heart rate, blood pressure, and blood oxygen sensors, a comprehensive analysis is performed to evaluate whether the operator can perform electrical welding operations, including: In the formula, Indicates the pass rate of operators who can perform electrical welding operations. represents the vitality indicator of the operator, Indicates the operator's fatigue index.

6. The electric welding operation control system based on face recognition according to claim 5, Features: when , it means that the operator is able to perform the welding operation; when , it means that the operator cannot perform the welding operation.

7. The electric welding operation control system based on face recognition according to claim 1, Features: The authority control module specifically includes: an identity authentication module and a real-time feedback module; The identity verification module verifies the identity of the operator based on the facial features of the operator captured by the image acquisition module; The real-time feedback module is used to determine whether the operator has the right to perform welding operations based on the operator's identity information. If the identification fails or an unauthorized person is identified, the welding equipment can be disabled in a timely manner.

8. The electric welding operation control system based on face recognition according to claim 1, Features: The equipment safety judgment module collects the operator's personal equipment wearing status through the image acquisition module, determines whether the equipment is worn properly and feeds back to the authority control module.

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