Resource sustainable development system based on industrial interconnection

Abstract

The invention discloses a resource sustainable development system based on industrial interconnection, which comprises a data acquisition module, a monitoring module and an output module, and is characterized in that the monitoring module is used for monitoring production line conditions when workers in a workshop use a production line; according to the invention, the production line noise analysis module is used for monitoring the condition that the influence of the production line noise on the workers during the working period of the workers is gradually improved in real time, the real-time influence degree of the noise generated in the Ath hour of the working of the production line on the workers is visualized, and a powerful basis is provided for monitoring the safe working state of the workers; meanwhile, through a worker state analysis module, the situation of energy consumption caused by long-time work and noise influence of the workers in work is detected and analyzed, the real-time mood and the working state of the workers are reflected more accurately, and the system detection accuracy is improved. The system has the characteristics of high worker working state monitoring capability and high production line operation state maintenance level.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial production management, and in particular to a sustainable resource development system based on industrial interconnection. Background Art

[0002] In industrial production, workers, as an important part of production resources, largely determine the level of factory production efficiency; at the same time, noise, as an important factor affecting workers' working conditions, is difficult to control and manage. When workers are in a noisy environment for a long time, the impact of noise on them gradually increases and their work efficiency decreases.

[0003] In the existing technology, although some production line monitoring systems can monitor the working status of the production line and adjust the operating speed of the production line in time, and improve production efficiency by increasing the transmission speed of the production line, the actual increase in the speed of the conveyor belt makes the friction of the conveyor belt more intense, resulting in a more obvious impact of noise on workers, making it easier for workers to feel irritated, causing auditory fatigue, reduced attention and other problems, and production efficiency is reduced instead of increased, making it difficult to maximize the utilization of production resources generated by workers. Therefore, it is necessary to design a resource sustainable development system based on industrial interconnection that has strong monitoring capabilities for workers' working status and high maintenance levels for production line operation status. Summary of the invention

[0004] The purpose of the present invention is to provide a resource sustainable development system based on industrial interconnection to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a resource sustainable development system based on industrial interconnection, including a data acquisition module, a monitoring module and an output module, the data acquisition module is used to obtain relevant personnel and equipment information in the workshop; the monitoring module is used to monitor the production line conditions during the use of the production line by workers in the workshop; the output module is used to output the analysis results of the monitoring module and implement relevant safety measures, and the monitoring module and the output module are communicatively connected to each other.

[0006] According to the above technical solution, the data collection module includes a worker information collection module and a production line information collection module. The worker information collection module is used to obtain the number of workers in the workshop and the working time of the workers; the production line information collection module is used to obtain the number of production lines opened in the workshop and the working time of the production lines.

[0007] According to the above technical solution, the monitoring module includes a production line noise analysis module, a worker status analysis module, a noise detection module, a camera unit and a timing unit. The production line noise analysis module is used to analyze the noise emitted by the production line during operation; the worker status analysis module is used to predict the worker's working status through the analysis results of the production line noise analysis module, and determine whether the production line needs maintenance; the noise detection module is used to detect the sound level emitted by the current production line in real time; the camera unit is used to capture the image information of the workers and equipment in the target workshop; the timing unit is used to time the working hours of the production line and the workers.

[0008] According to the above technical solution, the production line noise analysis module further includes an impact degree assessment submodule and a safety status value analysis submodule. The impact degree assessment submodule is used to analyze the degree of harm of the noise emitted by the current production line to the workers at work; the safety status value analysis submodule is used to predict the subsequent noise of the production line operation and determine whether the noise continues to affect the workers.

[0009] According to the above technical solution, the output module includes an adjustment module and an assembly line rate adjustment module. The adjustment module is used to adjust the workers' working conditions and the operation rate of the production line through the analysis results of the production line noise analysis module; the assembly line rate adjustment module is used to prompt relevant maintenance personnel to perform timely maintenance on the production line through the analysis results of the worker status analysis module.

[0010] According to the above technical solution, the operation method of the resource sustainable development system mainly includes the following steps:

[0011] Step S1: The resource sustainable development system is connected in the factory workshop. The system obtains the purchased equipment and dispatch personnel information recorded in the storage system in the factory through factory management authorization, and stores it in the production line information collection module and the worker information collection module respectively;

[0012] Step S2: After the target production line is turned on, the switch obtains the start-up information of the target production line through the wire connecting the target production line and the switch, and the first timing unit is started to obtain the working time of the production line in real time;

[0013] Step S3: The shooting unit shoots a picture of the target production line operation position area, and identifies the target worker who enters the workstation through image feature extraction technology. When the target worker is identified to have entered the target area for 5 minutes, the second timing unit starts to obtain the worker's working time in real time. After the shooting unit identifies that the worker disappears from the picture, the second timing unit pauses timing and repeats this step;

[0014] Step S4: The system obtains the real-time impact value of the noise emitted by the target production line on the worker over time through the target production line working power monitor operated by the worker;

[0015] Step S5: the impact degree assessment submodule analyzes the coefficient of irritability and distraction caused by noise during the worker's work at the workstation;

[0016] Step S6: predicting the worker's safe working status value over time through the analysis results of the impact degree assessment submodule, and judging whether the current worker's working status is affected by noise;

[0017] Step S7: Based on the analysis results of the production line noise analysis module, evaluate whether the assembly line needs to adjust the transmission speed of the conveyor belt, and transmit the production line position information of the assembly line that is judged to need to be changed to the workshop manager through the assembly line speed adjustment module.

[0018] According to the above technical solution, in step S4, the noise intensity detection sensor obtains the noise level emitted by the target production line as R, where the unit of the noise level is db. The system obtains the working time of the current production line workers as B hours through the timing unit. During the time when the workers and the production line are in working state at the same time, the real-time impact value of the production line noise on the workers in the Ath hour after the production line starts working is G=μ1·(1+θ) A R, where A≤B, μ1 is the unit conversion coefficient, θ is the excess impact base of noise, 0<θ<0.2, and the real-time impact value information of noise on the worker is stored in the impact degree assessment submodule.

[0019] According to the above technical solution, step S5 further includes:

[0020] Step S51: The center position point of the worker's foot is obtained by setting a pressure sensor on the ground at the bottom of the worker's workstation. The bottom coverage area is a plane rectangular coordinate system with the lower left corner as the coordinate origin, the X axis is parallel to the projection plane of the assembly line conveyor belt on the ground, and the Y axis is perpendicular to the projection plane of the assembly line conveyor belt on the ground. The coordinates (X, Y) and the pressure F of the worker's foot in the sampling coverage area are recorded once every sampling time period. The change distance S of the coordinate position and the change value ΔF of the pressure size in the recorded information every two times are obtained in turn, and the irritability value of the worker's body caused by being in the noise over time is obtained. in represents the average value of the change distance, Represents the average value of the pressure change, and F is the pressure reference value;

[0021] Step S52: The camera unit uses a camera installed on the side of the production line to take real-time pictures of the work area of ​​the assembly line workers, and locates the lateral position of the worker's workstation on the assembly line relative to the distance from the production line initial test point in the reverse direction of the assembly line flow as C. The worker obtains the ratio of the relative fault tolerance period in the production line in the current workstation. The change distances of the coordinate positions in the two recorded information obtained in step S51 are respectively S1, S2, ... S u , then the worker’s current attention distraction distance caused by being in noise over time is Where u is the total number of time points sampled in step S511 - 1;

[0022] Step S53: Performance value of workers affected by noise Where α is the unit conversion coefficient, ω is the impact parameter of the workers affected by noise obtained by the system after monitoring, extracting features and analyzing the relevant features of the workers in the production line and comparing them with the database, ω>0.

[0023] According to the above technical solution, step S6 further includes:

[0024] Step S61: The safety status value of the worker in the noise environment in the Ath hour is Q=M-μ2B! RK, where M is the rated status value of the worker when he just starts work every day, and μ2 is the unit conversion coefficient;

[0025] The irritability value λ generated by the noise, the rated state value M of the worker when he / she first comes to work every day, the real-time impact value G of the noise on the worker, the performance value K of the worker affected by the noise, and the safety state value Q of the worker in the noise environment are all expressed as the current state parameters of the worker, with the same unit;

[0026] Step S62: The safety status value analysis submodule extracts the influence information of the influence degree assessment submodule, and compares the worker's current safety status and the influence of noise on the worker. When G>Q, it is determined that the current working status of the worker is affected by the noise, and the worker status analysis module is started to determine whether the worker's working status can adapt to the production line operation and complete the required production line tasks as needed under the current production line operation status.

[0027] According to the above technical solution, in step S7, the workshop staff will collect and count the total amount of finished products received from the production line, upload the workload information completed by the current production line, and the system will calculate the current work progress of the target production line as Z1% based on the total amount of work to be completed on the day. The safety status value analysis submodule obtains the set line running speed as V by monitoring the running speed of the target production line control interface. Under the current running speed, the workers should complete the work progress of the day as Z2%;

[0028] Dynamically adjust the running speed of the current assembly line and deploy suitable workers to increase the efficiency of the assembly line. Otherwise, adjust the assembly line speed appropriately according to the continuous status of the current workers. The specific speed adjustment amount Where V is the pipeline speed required to complete the current work progress.

[0029] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, through the production line noise analysis module, monitors in real time the gradually increasing impact of the production line noise on the workers during their work, and visualizes the real-time impact of the noise emitted in the Ath hour of the production line work on the workers, providing a strong basis for monitoring the safe working status of the workers; at the same time, through the worker status analysis module, the energy consumption of the workers due to long-term work and the influence of noise at work is detected and analyzed, which more accurately reflects the real-time mood and working status of the workers and improves the accuracy of system detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0031] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0033] See also Figure 1 The present invention provides a technical solution: a resource sustainable development system based on industrial interconnection, including:

[0034] Data acquisition module, monitoring module and output module. The data acquisition module is used to obtain relevant personnel and equipment information in the workshop; the monitoring module is used to monitor the production line conditions during the workers' use of the production line in the workshop; the output module is used to output the analysis results of the monitoring module and implement relevant safety measures. The monitoring module and the output module are communicated with each other.

[0035] The present invention uses a production line noise analysis module to monitor in real time the gradually increasing impact of production line noise on workers during their work, and visualizes the real-time impact of the noise emitted in the Ath hour of the production line work on the worker, providing a strong basis for monitoring the safe working status of the workers. At the same time, through the worker status analysis module, the worker's energy consumption due to long-term work and the influence of noise is detected and analyzed, which more accurately reflects the real-time mood and working status of the workers and improves the accuracy of system detection.

[0036] The data collection module includes a worker information collection module and a production line information collection module. The worker information collection module is used to obtain the number of workers in the workshop and the working time of the workers; the production line information collection module is used to obtain the number of production lines opened in the workshop and the working time of the production lines.

[0037] The monitoring module includes a production line noise analysis module, a worker status analysis module, a noise detection module, a camera unit and a timing unit. The production line noise analysis module is used to analyze the noise emitted by the production line during operation; the worker status analysis module is used to predict the worker's working status through the analysis results of the production line noise analysis module, and determine whether the production line needs maintenance; the noise detection module is used to detect the sound level emitted by the current production line in real time; the camera unit is used to capture the image information of the workers and equipment in the target workshop; the timing unit is used to time the working hours of the production line and workers.

[0038] The production line noise analysis module further includes an impact assessment submodule and a safety status value analysis submodule. The impact assessment submodule is used to analyze the degree of harm of the noise emitted by the current production line to the workers at work; the safety status value analysis submodule is used to predict the subsequent noise of the production line operation and determine whether the noise continues to affect the workers.

[0039] The output module includes an adjustment module and an assembly line rate adjustment module. The adjustment module is used to adjust the workers' working conditions and the operating rate of the production line according to the analysis results of the production line noise analysis module; the assembly line rate adjustment module is used to prompt relevant maintenance personnel to perform timely maintenance on the production line according to the analysis results of the worker status analysis module.

[0040] In a preferred embodiment, the operation method of the resource sustainable development system mainly includes the following steps:

[0041] Step S1: The resource sustainable development system is connected in the factory workshop. The system obtains the purchased equipment and dispatch personnel information recorded in the storage system in the factory through factory management authorization, and stores it in the production line information collection module and the worker information collection module respectively;

[0042] Step S2: After the target production line is turned on, the switch obtains the start-up information of the target production line through the wire connecting the target production line and the switch, and the first timing unit is started to obtain the working time of the production line in real time;

[0043] Step S3: The shooting unit shoots a picture of the target production line operation position area, and identifies the target worker who enters the workstation through image feature extraction technology. When the target worker is identified to have entered the target area for 5 minutes, the second timing unit starts to obtain the worker's working time in real time. After the shooting unit identifies that the worker disappears from the picture, the second timing unit pauses timing and repeats this step;

[0044] Step S4: The system obtains the real-time impact value of the noise emitted by the target production line on the worker over time through the target production line working power monitor operated by the worker;

[0045] Step S5: the impact degree assessment submodule analyzes the coefficient of irritability and distraction caused by noise during the worker's work at the workstation;

[0046] Step S6: predicting the worker's safe working status value over time through the analysis results of the impact degree assessment submodule, and judging whether the current worker's working status is affected by noise;

[0047] Step S7: Based on the analysis results of the production line noise analysis module, evaluate whether the assembly line needs to adjust the transmission speed of the conveyor belt, and transmit the production line position information of the assembly line that is judged to need to be changed to the workshop manager through the assembly line speed adjustment module.

[0048] In step S4 of this embodiment, the noise intensity detection sensor obtains the noise level of the target production line as R, where the unit of the noise level is db. The system obtains the working time of the current production line workers as B hours through the timing unit. During the time when the workers and the production line are in working state at the same time, the real-time impact value of the production line noise on the workers in the Ath hour after the production line starts working is G=μ1·(1+θ) A R, where A≤B, μ1 is the unit conversion coefficient, θ is the excess impact base of noise, 0<θ<0.2, and the real-time impact value information of noise on the worker is stored in the impact degree assessment submodule.

[0049] This technical solution solves the problem that the current system is difficult to detect the gradually increasing impact of noise on workers during work. The real-time impact of the noise emitted in the Ath hour of the production line on the worker is visualized, providing a strong basis for monitoring the safe working status of the workers.

[0050] In this embodiment, step S5 further includes:

[0051] Step S51: The center position point of the worker's foot is obtained by setting a pressure sensor on the ground at the bottom of the worker's workstation. The bottom coverage area is a plane rectangular coordinate system with the lower left corner as the coordinate origin, the X axis is parallel to the projection plane of the assembly line conveyor belt on the ground, and the Y axis is perpendicular to the projection plane of the assembly line conveyor belt on the ground. The coordinates (X, Y) and the pressure F of the worker's foot in the sampling coverage area are recorded once every sampling time period. The change distance S of the coordinate position and the change value ΔF of the pressure size in the recorded information every two times are obtained in turn, and the irritability value of the worker's body caused by being in the noise over time is obtained. in represents the average value of the change distance, Represents the average value of the pressure change, and F is the pressure reference value;

[0052] Step S52: The camera unit uses a camera installed on the side of the production line to take real-time pictures of the work area of ​​the assembly line workers, and locates the lateral position of the worker's workstation on the assembly line relative to the distance from the production line initial test point in the reverse direction of the assembly line flow as C. The worker obtains the ratio of the relative fault tolerance period in the production line in the current workstation. The relative tolerance period within the production line refers to the fact that since the worker's workstation is C meters behind the initial point of the production line, the worker can obtain a short period of product work tolerance time between two batches of products to catch up with the progress or take a rest. The change distances of the coordinate positions in the two collected information obtained in step S51 are S1, S2...S u , then the worker’s current attention distraction distance caused by being in noise over time is Where u is the total number of time points sampled in step S511 - 1;

[0053] Step S53: Performance value of workers affected by noise Where α is the unit conversion coefficient, ω is the impact parameter of the workers affected by noise obtained by the system after monitoring, extracting features and analyzing the relevant features of the workers in the production line and comparing them with the database, ω>0.

[0054] The influencing parameter ω is introduced to minimize the difference between the calculated value of the worker's performance value K affected by noise and the weights of other influencing parameters;

[0055] Many factories currently use cameras to capture and monitor workers' working environment. Although this allows real-time understanding of workers' working status, it also infringes on workers' privacy and can easily cause dissatisfaction among workers. Detection of workers' foot movements and pedaling pressure can effectively avoid existing problems. At the same time, compared with other detection technologies, the system can more accurately reflect workers' real-time mood and working status by detecting and analyzing workers' energy consumption due to long hours of work and noise, thereby improving the accuracy of system detection.

[0056] In this embodiment, step S6 further includes:

[0057] Step S61: The safety status value of the worker in the noise environment in the Ath hour is Q=M-μ2B! RK, where M is the rated status value of the worker when he just starts work every day, and μ2 is the unit conversion coefficient;

[0058] The irritability value λ generated by the noise, the rated state value M of the worker when he / she first comes to work every day, the real-time impact value G of the noise on the worker, the performance value K of the worker affected by the noise, and the safety state value Q of the worker in the noise environment are all expressed as the current state parameters of the worker, with the same unit;

[0059] When Q>0, the worker is in a safe state to noise in a noisy environment; when Q≤0, the worker is in a dangerous state to noise in a noisy environment;

[0060] Step S62: The safety status value analysis submodule extracts the influence information of the influence degree assessment submodule, and compares the worker's current safety status and the influence of noise on the worker. When G>Q, it is determined that the current working status of the worker is affected by the noise, and the worker status analysis module is started to determine whether the worker's working status can adapt to the production line operation and complete the required production line tasks as needed under the current production line operation status.

[0061] This technical solution solves the problem that workshop managers are unable to monitor and understand workers' production efficiency in real time, which ultimately makes it difficult to complete production line tasks. By comparing with the evaluation results of the above-mentioned impact assessment submodule, the workers' working status can be accurately obtained. By adjusting the relevant parameters of the production line and taking relevant measures, the work efficiency of the entire production line can be maintained, so that the completion of production line tasks is not affected by noise.

[0062] In step S7 of this embodiment, the workshop staff collects and counts the total amount of finished products received from the production line, and uploads the workload information completed by the current production line. The system calculates the current work progress of the target production line as Z1% based on the total amount of work to be completed on the day. The safety status value analysis submodule obtains the set line running speed as V by monitoring the running speed of the target production line control interface. Under the current running speed, the workers should complete the work progress of the day as Z2%;

[0063] Dynamically adjust the running speed of the current assembly line and deploy suitable workers to increase the efficiency of the assembly line. Otherwise, adjust the assembly line speed appropriately according to the continuous status of the current workers. The specific speed adjustment amount Where V is the pipeline speed required to complete the current work progress.

[0064] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0065] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A resource sustainable development system based on industrial interconnection, characterized by: It includes a data acquisition module, a monitoring module and an output module. The data acquisition module is used to obtain relevant personnel and equipment information in the workshop; the monitoring module is used to monitor the production line conditions during the workers in the workshop using the production line; the output module is used to output the analysis results of the monitoring module and implement relevant safety measures. The monitoring module and the output module are communicatively connected to each other.

2. The resource sustainable development system based on industrial interconnection according to claim 1 is characterized in that: The data collection module includes a worker information collection module and a production line information collection module. The worker information collection module is used to obtain the number of workers in the workshop and the working time of the workers; the production line information collection module is used to obtain the number of production lines opened in the workshop and the working time of the production lines.

3. The resource sustainable development system based on industrial interconnection according to claim 2 is characterized in that: The monitoring module includes a production line noise analysis module, a worker status analysis module, a noise detection module, a camera unit and a timing unit. The production line noise analysis module is used to analyze the noise emitted by the production line during operation; the worker status analysis module is used to predict the working status of the workers based on the analysis results of the production line noise analysis module and determine whether the production line needs maintenance; The noise detection module is used to detect the sound level emitted by the current production line in real time; the camera unit is used to capture the image information of workers and equipment in the target workshop; and the timing unit is used to time the working hours of the production line and workers.

4. The resource sustainable development system based on industrial interconnection according to claim 3 is characterized in that: The production line noise analysis module further includes an impact assessment submodule and a safety status value analysis submodule. The impact assessment submodule is used to analyze the degree of harm of the noise emitted by the current production line to the workers at work; the safety status value analysis submodule is used to predict the subsequent noise of the production line operation and determine whether the noise continues to affect the workers.

5. The resource sustainable development system based on industrial interconnection according to claim 4 is characterized in that: The output module includes an adjustment module and an assembly line rate adjustment module. The adjustment module is used to adjust the workers' working conditions and the operation rate of the production line according to the analysis results of the production line noise analysis module; the assembly line rate adjustment module is used to prompt relevant maintenance personnel to perform timely maintenance on the production line according to the analysis results of the worker status analysis module.

6. The resource sustainable development system based on industrial interconnection according to claim 5 is characterized in that: The operation method of the resource sustainable development system mainly comprises the following steps: Step S1: The resource sustainable development system is connected in the factory workshop. The system obtains the purchased equipment and dispatch personnel information recorded in the storage system in the factory through factory management authorization, and stores it in the production line information collection module and the worker information collection module respectively; Step S2: After the target production line is turned on, the switch obtains the start-up information of the target production line through the wire connecting the target production line and the switch, and the first timing unit is started to obtain the working time of the production line in real time; Step S3: The shooting unit shoots a picture of the target production line operation position area, and identifies the target worker who enters the workstation through image feature extraction technology. When the target worker is identified to have entered the target area for 5 minutes, the second timing unit starts to obtain the worker's working time in real time. After the shooting unit identifies that the worker disappears from the picture, the second timing unit pauses timing and repeats this step; Step S4: The system obtains the real-time impact value of the noise emitted by the target production line on the worker over time through the target production line working power monitor operated by the worker; Step S5: the impact degree assessment submodule analyzes the coefficient of irritability and distraction caused by noise during the worker's work at the workstation; Step S6: predicting the worker's safe working status value over time through the analysis results of the impact degree assessment submodule, and judging whether the current worker's working status is affected by noise; Step S7: Based on the analysis results of the production line noise analysis module, evaluate whether the assembly line needs to adjust the transmission speed of the conveyor belt, and transmit the production line position information of the assembly line that is judged to need to be changed to the workshop manager through the assembly line speed adjustment module.

7. The resource sustainable development system based on industrial interconnection according to claim 6 is characterized in that: In step S4, the noise intensity detection sensor obtains the noise level of the target production line as R, where the unit of the noise level is db. The system obtains the working time of the current production line workers as B hours through the timing unit. During the time when the workers and the production line are in working state at the same time, the real-time impact value of the production line noise on the workers in the Ath hour after the production line starts working is G=μ1·(1+θ) A R, where A≤B, μ1 is the unit conversion coefficient, θ is the excess impact base of noise, 0<θ<0.2, and the real-time impact value information of noise on the worker is stored in the impact degree assessment submodule.

8. The resource sustainable development system based on industrial interconnection according to claim 7 is characterized in that: The step S5 further comprises: Step S51: The center position point of the worker's foot is obtained by setting a pressure sensor on the ground at the bottom of the worker's workstation. The bottom coverage area is a plane rectangular coordinate system with the lower left corner as the coordinate origin, the X axis is parallel to the projection plane of the assembly line conveyor belt on the ground, and the Y axis is perpendicular to the projection plane of the assembly line conveyor belt on the ground. The coordinates (X, Y) and the pressure F of the worker's foot in the sampling coverage area are recorded once every sampling time period. The change distance S of the coordinate position and the change value ΔF of the pressure size in the recorded information every two times are obtained in turn, and the irritability value of the worker's body caused by being in the noise over time is obtained. in represents the average value of the change distance, Represents the average value of the pressure change, and F is the pressure reference value; Step S52: The camera unit uses a camera installed on the side of the production line to take real-time pictures of the work area of ​​the assembly line workers, and locates the lateral position of the worker's workstation on the assembly line relative to the distance from the production line initial test point in the reverse direction of the assembly line flow as C. The worker obtains the ratio of the relative fault tolerance period in the production line in the current workstation. The change distances of the coordinate positions in the two recorded information obtained in step S51 are S1, S2, ..., S u , then the worker’s current attention distraction distance caused by being in noise over time is Where u is the total number of time points sampled in step S511 - 1; Step S53: Performance value of workers affected by noise Where α is the unit conversion coefficient, ω is the impact parameter of the workers affected by noise obtained by the system after monitoring, extracting features and analyzing the relevant features of the workers in the production line and comparing them with the database, ω>

0.

9. The resource sustainable development system based on industrial interconnection according to claim 8 is characterized in that: The step S6 further comprises: Step S61: The safety status value of the worker in the noise environment in the Ath hour is Q=M-μ2B! RK, where M is the rated status value of the worker when he just starts work every day, and μ2 is the unit conversion coefficient; The irritability value λ generated by the noise, the rated state value M of the worker when he / she first comes to work every day, the real-time impact value G of the noise on the worker, the performance value K of the worker affected by the noise, and the safety state value Q of the worker in the noise environment are all expressed as the current state parameters of the worker, with the same unit; Step S62: The safety status value analysis submodule extracts the influence information of the influence degree assessment submodule, and compares the worker's current safety status and the influence of noise on the worker. When G>Q, it is determined that the current working status of the worker is affected by the noise, and the worker status analysis module is started to determine whether the worker's working status can adapt to the production line operation and complete the required production line tasks as needed under the current production line operation status.

10. The resource sustainable development system based on industrial interconnection according to claim 9 is characterized in that: In step S7, the workshop staff collects and counts the total amount of finished products received from the production line, and uploads the workload information completed by the current production line. The system calculates the current work progress of the target production line as Z1% based on the total amount of work to be completed on the day. The safety status value analysis submodule obtains the set line running speed as V by monitoring the running speed of the target production line control interface. Under the current running speed, the workers should complete the work progress of the day as Z2%; Dynamically adjust the running speed of the current assembly line and deploy suitable workers to increase the efficiency of the assembly line. Otherwise, adjust the assembly line speed appropriately according to the continuous status of the current workers. The specific speed adjustment amount Where V is the pipeline speed required to complete the current work progress.

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