Bag feeding machine station design method, system and equipment

Abstract

The present application is applicable to the technical field of bag feeders, and in particular, relates to a bag feeder station design method, system and equipment, the method comprising: obtaining multiple bag feeder station information of bag feeders in a production workshop; analyzing multiple station sequence information and multiple station function information to obtain station hazard information; analyzing the station hazard information to obtain first design information; wherein the first design information is used to indicate the design parameters of the dangerous station in terms of orientation; determining the station based on the first design information to obtain second design information; wherein the second design information is used to indicate the design parameters under the influence of the operator and under the self-influence of the dangerous station; obtaining the station design information based on the first design information and the second design information. The bag feeder station design method provided in the present application can improve the design perfection of the bag feeder station, improve the operational flexibility, and improve the safety of the operator.

Description

Technical Field

[0001] The present application belongs to the technical field of bag feeding machines, and in particular, relates to a method, system and equipment for designing a station of a bag feeding machine. Background Art

[0002] A bag feeder is a packaging equipment, usually referring to the entire machine or system. The bag feeder is used for bag taking, bag opening, filling, sealing and other work operations; the bag feeder station refers to a specific position or work area on the packaging production line used to complete a specific packaging task; the bag feeder station is generally used in the food industry, pharmaceutical industry, chemical industry, agricultural products, and daily necessities.

[0003] In the related art, when the bag feeding machine station is operating in the pharmaceutical industry or the chemical industry, the design of the bag feeding machine station is not perfect, and it is difficult to operate flexibly due to the dangers of the pharmaceutical industry or the chemical industry, resulting in threats and injuries to the health of the operators. Summary of the invention

[0004] The embodiments of the present application provide a bag feeding machine station design method, system and equipment, which can solve the problem that the bag feeding machine station is difficult to operate flexibly due to the dangers of the pharmaceutical or chemical industries, which may cause operator injuries.

[0005] In a first aspect, an embodiment of the present application provides a method for designing a bag feeding machine station, comprising:

[0006] Acquire multiple bag feeder station information of bag feeders in a production workshop; wherein the bag feeder station information includes station sequence number information and station function information, the station sequence number information is used to indicate the number of each bag feeder station in the production workshop, and the station function information is used to indicate the machine operation corresponding to each bag feeder station;

[0007] Analyze the plurality of workstation sequence number information and the plurality of workstation function information to obtain workstation hazard information; wherein the workstation hazard information is used to indicate a dangerous workstation that emits dangerous substances or dangerous gases, and the dangerous workstation includes a material filling workstation, a sealing workstation, a waste processing workstation, or an equipment maintenance and cleaning workstation;

[0008] Analyze the workstation hazard information to obtain first design information; wherein the first design information is used to indicate the design parameters of the dangerous workstation in terms of location;

[0009] Determine the workstation based on the first design information to obtain second design information; wherein the second design information is used to indicate design parameters under the influence of the operator and the influence of the dangerous workstation itself;

[0010] The workstation design information is obtained according to the first design information and the second design information.

[0011] The bag feeder station design method provided by the present application obtains multiple bag feeder station information of the bag feeder in the production workshop. The acquisition of multiple bag feeder station information is helpful to arrange production tasks reasonably, optimize the production process and improve production efficiency. According to the multiple station sequence number information and the multiple station function information, the station danger information is obtained. Through analysis, it can be accurately determined which station is a dangerous station, and the potential dangerous station can be effectively identified, so that corresponding preventive measures can be taken, which can improve the safety of the workplace and enhance the safety awareness of employees; the station danger information is analyzed to obtain the first design information, which is helpful to identify potential safety hazards in advance, optimize the layout of the bag feeder station, so that the operator can maintain a safe distance during the operation process, determine the station based on the first design information, and obtain the second design information, so that when working in the pharmaceutical industry or the chemical industry, it can be operated flexibly to reduce the harm to the operator. Finally, according to the first design information and the second design information, the station design information is obtained, which can make the design of the bag feeder station more perfect, improve the flexibility of operation, and thus reduce the health threats and injuries to the operator, and improve the safety of the operator at work.

[0012] In a second aspect, an embodiment of the present application provides a bag feeding machine station design system, including:

[0013] an acquisition unit, used for acquiring multiple bag feeder station information of the bag feeder in the production workshop; wherein the bag feeder station information includes station sequence number information and station function information, wherein the station sequence number information is used for indicating the number of each bag feeder station in the production workshop, and the station function information is used for indicating the machine operation corresponding to each bag feeder station;

[0014] An analysis unit, configured to analyze the plurality of workstation sequence number information and the plurality of workstation function information to obtain workstation hazard information; wherein the workstation hazard information is used to indicate a dangerous workstation that emits dangerous substances or dangerous gases, and the dangerous workstation includes a material filling workstation, a sealing workstation, a waste processing workstation, or an equipment maintenance and cleaning workstation;

[0015] A first design unit, configured to analyze the workstation hazard information to obtain first design information; wherein the first design information is used to indicate a design parameter of the dangerous workstation in terms of position;

[0016] A second design unit is used to determine the workstation based on the first design information to obtain second design information; wherein the second design information is used to indicate design parameters under the influence of the operator and the influence of the dangerous workstation itself;

[0017] A result unit is used to obtain workstation design information according to the first design information and the second design information.

[0018] In a third aspect, an embodiment of the present application provides a device for designing a bag machine station, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements a method as described in any one of the first aspects above.

[0019] In a fourth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run on a bag feeder station design device, the bag feeder station design device executes the bag feeder station design method described in any one of the first aspects above.

[0020] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0022] Figure 1 It is a flow chart of a method for designing a bag feeding machine station provided in one embodiment of the present application;

[0023] Figure 2 It is a schematic diagram of the implementation flow of step S200 in the bag feeding machine station design method provided in one embodiment of the present application;

[0024] Figure 3 It is a schematic diagram of the implementation flow of step S300 in the bag feeding machine station design method provided in one embodiment of the present application;

[0025] Figure 4 It is a schematic diagram of the implementation flow of step S400 in the bag feeding machine station design method provided in one embodiment of the present application;

[0026] Figure 5 It is a schematic diagram of the implementation flow of step S410 in the bag feeding machine station design method provided in one embodiment of the present application;

[0027] Figure 6 It is a schematic diagram of the implementation process of step S415 in the bag feeding machine station design method provided in one embodiment of the present application;

[0028] Figure 7It is a schematic diagram of the implementation process of step S420 in the bag feeding machine station design method provided in one embodiment of the present application;

[0029] Figure 8 It is a schematic diagram of the implementation process of step S425 in the bag feeding machine station design method provided in one embodiment of the present application;

[0030] Fig. 9 It is a structural schematic diagram of a bag feeding machine station design system provided in an embodiment of the present application;

[0031] Fig.10 It is a structural schematic diagram of the bag feeding machine station design equipment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0032] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0033] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0034] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0035] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0036] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0037] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0038] A bag feeder is a packaging equipment, usually referring to the entire machine or system. The bag feeder is used for bag taking, bag opening, filling, sealing and other work operations; the bag feeder station refers to a specific position or work area on the packaging production line used to complete a specific packaging task; the bag feeder station is generally used in the food industry, pharmaceutical industry, chemical industry, agricultural products, and daily necessities.

[0039] In the related art, when the bag feeding machine station is operating in the pharmaceutical industry or the chemical industry, the design of the bag feeding machine station is not perfect, and it is difficult to operate flexibly due to the dangers of the pharmaceutical industry or the chemical industry, resulting in threats and injuries to the health of the operators.

[0040] To solve the above problems, the present application provides a method, system and device for designing a bag feeder station. In the method, multiple bag feeder station information of bag feeders in a production workshop is obtained, and the acquisition of multiple bag feeder station information helps to reasonably arrange production tasks, optimize production processes and improve production efficiency. According to the analysis of multiple workstation serial number information and multiple workstation function information, the workstation hazard information is obtained. Through the analysis, it is possible to accurately determine which workstation is a dangerous workstation, and to effectively identify potentially dangerous workstations, so as to take corresponding preventive measures, thereby improving the safety of the workplace and enhancing the safety awareness of employees; the workstation hazard information is analyzed to obtain the first design information, which is helpful to identify potential safety hazards in advance and optimize the layout of the bag feeding machine workstation so that employees can maintain a safe distance during operation; the workstation is determined based on the first design information to obtain the second design information, so that when working in the pharmaceutical industry or the chemical industry, flexible operation can be performed to reduce harm to operators; finally, the workstation design information is obtained based on the first design information and the second design information, which can make the design of the bag feeding machine workstation more perfect and improve the flexibility of operation, thereby reducing the health threats and injuries to operators and improving the safety of operators at work.

[0041] The bag feeding machine station design method provided in the embodiment of the present application can be applied to the bag feeding machine station design equipment. At this time, the bag feeding machine station design equipment is the executor of the bag feeding machine station design method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the bag feeding machine station design equipment.

[0042] For example, the equipment designed for the bag feeding machine station can be a tablet computer, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a desktop computer, a smart large screen, a computer, a mobile terminal, etc.

[0043] In order to better understand the bag feeding machine station design method provided in the embodiment of the present application, the specific implementation process of the bag feeding machine station design method provided in the embodiment of the present application is exemplarily introduced below.

[0044] Figure 1 A schematic flow chart of a bag feeding machine station design method provided in an embodiment of the present application is shown, and the bag feeding machine station design method includes:

[0045] S100, obtaining multiple bag feeder station information of bag feeders in the production workshop; wherein the bag feeder station information includes station serial number information and station function information, the station serial number information is used to indicate the number of the bag feeder station, and the station function information is used to indicate the machine operation corresponding to the bag feeder station.

[0046] For example, the configuration data of the bag feeder can be directly read through the workshop layout management system. These configuration data are usually entered by the workshop when deploying the bag feeder, including the location and number of each bag feeder (i.e., the station number information) and the specific tasks they perform (i.e., the station function information); the station information can also be obtained through on-site scanning technology, using barcodes or QR codes to paste a unique identification code on each bag feeder station, and then use a dedicated scanning device to read these codes to parse the station number information and preset station function information. Machine vision technology can also be used to automatically identify the bag feeder station. By installing cameras in the workshop, the image of the bag feeder area can be captured in real time, and the image processing algorithm can be used to identify the location of each bag feeder and the type of operation they are performing. Finally, it is also possible to consider synchronizing the station information from the production management system (such as the MES system). The bag feeder station design system usually contains comprehensive production plans and equipment status information. It is connected to the bag feeder station design system through an interface to achieve real-time data synchronization, which can improve the accuracy and timeliness of the station information.

[0047] S200, analyzing multiple workstation sequence number information and multiple workstation function information to obtain workstation hazard information; wherein the workstation hazard information is used to indicate dangerous workstations that emit dangerous substances or dangerous gases, and the dangerous workstations include material filling stations, sealing stations, waste processing stations or equipment maintenance and cleaning stations.

[0048] For example, a dangerous workstation database can be established, which contains information on dangerous substances or dangerous gases that may be emitted by various workstations, as well as relevant safety standards and thresholds corresponding to the dangerous substances or dangerous gases. This information can be judged based on industry standards, historical accident data and safety assessment reports, and then the acquired workstation function information is classified to divide the workstations into categories such as material filling, sealing, waste disposal, and equipment maintenance and cleaning; each type of workstation may have its own specific hazardous factors and potential risks, and then a risk assessment algorithm is used to analyze each workstation; by inputting the workstation function information and workstation sequence information, the dangerous substances or gases in the matching database are extracted and compared to obtain the workstation hazard information and the hazard level value corresponding to each workstation hazard information; it can also be combined with real-time monitoring data for analysis, and sensors can be installed in the workshop to monitor the concentration of dangerous substances or gases in the air in real time, and these data can be combined with the workstation information to provide a more accurate hazard assessment.

[0049] In one possible implementation, see Figure 2 S200, analyzing the plurality of workstation sequence number information and the plurality of workstation function information to obtain workstation hazard information, including:

[0050] S210, obtaining order information of the product to be produced; wherein the order information is used to reflect the customer's product requirements, and the product requirements include product performance and physical form.

[0051] For example, it can be integrated through the enterprise resource planning (ERP) system. The ERP system usually contains a customer order management module that can collect and process customer order data in real time. By integrating with the ERP system, order information can be automatically obtained, including product performance requirements and physical form descriptions; you can also use an order management system (OMS). OMS is mainly used to process order processes, from order receipt, confirmation to delivery, etc. Through OMS, customer order data can be manually entered or imported to make the order information accurate and reliable; you can also use electronic data interchange (EDI) technology. EDI is an electronic communication technology used to automatically exchange business documents between enterprises. Through EDI, you can establish a direct data exchange connection with customers, obtain order information in real time, and improve data processing efficiency. Through an online order platform. For e-commerce companies, customers usually place orders through online platforms. By integrating an online order platform, customer order information can be obtained in real time, including product performance and physical form requirements.

[0052] S220, multiple workstation sequence number information, multiple workstation function information and product requirements indicated by order information are input into a hazard detection model for detection and matching processing to obtain workstation hazard information. The hazard detection model is a machine learning model that is pre-trained using the workstation sequence number information, workstation function information and product requirements indicated by each corresponding order information as input and the corresponding workstation hazard information as output.

[0053] Exemplarily, the collected workstation serial number information, workstation function information, and order information are cleaned and formatted. This includes removing duplicate data, filling missing values, standardizing data formats, etc. to improve data quality. In addition, the description of product performance and physical form is parsed and classified to facilitate subsequent model processing; based on the preprocessed data, features related to hazard detection are extracted, which may include specific operation types of workstations, materials used, equipment types, environmental conditions, etc.; through feature engineering, the original data can be converted into a format that the model can effectively process; model training can use multiple workstation serial number information, multiple workstation function information, and product performance and physical form indicated by each corresponding order information as input, and workstation hazard information as output as training data for training, training hazard detection model, and multiple machine learning algorithms, such as decision trees or neural networks, can be used when training the model, and then cross-validation and parameter optimization are used to test the trained model on an independent validation data set to evaluate its performance. By calculating the accuracy, recall, and F1 score indicators, the model has good generalization ability and prediction accuracy, and the verified hazard detection model is deployed in the production environment. Through the corresponding interface program, the real-time acquired workstation sequence number information, workstation function information and order information are input into the model to obtain the hazard information of each workstation.

[0054] In detail, during the training process of the hazard detection model, a large amount of data from the existing history is collected, including workstation sequence information, workstation function information, order information, and workstation hazard information. The workstation sequence information usually consists of a unique identifier of the workstation, such as a workstation number or location coordinates. The workstation function information describes in detail the specific purpose of each workstation, such as taking bags, opening bags, filling materials to sealing, etc. The order information contains a detailed description of product requirements, including product performance parameters and physical form characteristics. After the data preparation stage is completed, the next step is feature engineering. The purpose of feature engineering is to extract the most valuable features for model prediction from the raw data. For example, for workstation function information, keywords related to hazard can be extracted, such as "high temperature", "high pressure", "flammable and explosive", "harmful gas", etc. For product performance and physical form, features such as product weight, size, and material type can be extracted. Through these features, the model can better understand the potential dangerous relationship between different workstations and products; after the feature engineering is completed, the appropriate machine model is selected. For example, the two algorithms of support vector machine (SVM) and random forest (RandomForest) can be selected by considering the complexity and diversity of the data, because SVM performs well in processing high-dimensional data and classification problems, while random forest can handle nonlinear problems well and has strong robustness to noisy data. Among them, in the SVM algorithm, the kernel function technology is mainly used to process nonlinear separable data. Commonly used kernel functions include linear kernel, polynomial kernel, radial basis function (RBF) kernel and sigmoid kernel. Through cross-validation, the kernel function type and parameters of the data set are determined; for the random forest algorithm, it is mainly through the construction of multiple decision trees, and the final classification result is determined through a voting mechanism. In order to improve the accuracy and generalization ability of the model, feature selection and feature importance evaluation techniques can be used to identify the features that have the greatest impact on hazard detection. The next step is the performance test of the model. During the model training process, the cross-validation method is used to evaluate the performance of the model. Cross-validation improves the stability and reliability of the model by dividing the dataset into multiple subsets and performing training and validation on different subsets. In addition, grid search technology is introduced to optimize the hyperparameters of the model, such as the penalty parameter C and kernel function parameters of SVM, as well as the number and depth of trees in the random forest. In order to further improve the accuracy of the model, an ensemble learning method is used to combine the prediction results of different algorithms to construct a strong classifier, which shows higher accuracy and lower overfitting risk on multiple independent test sets. Finally, a hazard detection model with comprehensive performance can be obtained.

[0055] With this setup, the hazard detection model can analyze, predict, and identify potentially hazardous workstations in real time, thereby providing timely safety decision support to workshop management and helping to improve the safety of the production process.

[0056] S300, analyzing the workstation hazard information to obtain first design information; wherein the first design information is used to indicate the design parameters of the dangerous workstation in terms of location.

[0057] Exemplarily, the acquired workstation hazard information can be analyzed to identify various potential hazard factors, which may include other hazard factors besides chemical leakage, such as mechanical injury, electrical hazard, fire risk, etc.; these hazard factors are classified to facilitate subsequent targeted design. The hazard information is integrated with the workstation location information, and the relationship between the hazard factors and the workstation location is analyzed. Through correlation analysis, it can be determined which design parameters in which directions may cause or aggravate the occurrence of dangerous situations. Based on the results of the correlation analysis between the hazard factors and the location, the design parameters that need to be adjusted are calculated. These parameters may include workstation layout, equipment spacing, location of protective facilities, etc.; the calculated design parameters are verified using computer simulation technology. By simulating different workstation operation scenarios, the safety performance after the design parameters are adjusted is evaluated. According to the simulation results, the design parameters are further optimized to improve their effectiveness in practical applications, and then the verified and optimized design parameters are integrated into the first design information.

[0058] In one possible implementation, see Figure 3 , S300, analyzing the workstation hazard information to obtain first design information, including:

[0059] S310, obtaining the human flow information of multiple areas around the dangerous workstation; wherein the human flow information is obtained by detecting multiple areas around the dangerous workstation.

[0060] For example, surveillance cameras installed around dangerous workstations can be used to monitor the flow of people in real time through video analysis technology; video surveillance analysis systems can use computer vision algorithms, such as background subtraction and optical flow methods, to identify and track people entering dangerous areas; this method can provide detailed personnel flow data, including the number of people, walking paths, and residence time; infrared sensors can be installed around dangerous workstations. When people enter or leave a specific area, the sensors will detect infrared signals emitted by the human body, and the flow of people can be counted by analyzing the signal changes of the sensors. Infrared sensors have high sensitivity and accuracy, especially suitable for environments with dim light or complex backgrounds; RFID readers can also be deployed around dangerous workstations, and RFID tags can be equipped for people entering the area; when people enter or leave the dangerous area, the RFID readers will automatically record the tag information, thereby realizing real-time monitoring of the flow of people. RFID technology has the advantages of long recognition distance, fast speed, and strong anti-interference ability. In addition, in the absence of automated equipment, security personnel can be arranged to regularly patrol the dangerous workstation area and record the flow of people information. This method can provide basic flow of people data without technical equipment support.

[0061] S320, compare multiple pieces of human flow information to obtain low-flow area information; wherein the low-flow area information is used to indicate an area where operators do not frequently move.

[0062] For example, the flow data is collected from the monitoring equipment around each dangerous workstation (such as video surveillance, infrared sensors, RFID readers, etc.), so that the timestamp and area identification of the data are accurate, so as to facilitate subsequent comparison and analysis. All the collected data can be integrated into a unified database for processing and analysis; the integrated data is preprocessed, including data cleaning (removing outliers and erroneous data), data standardization (making the data format consistent), and data normalization (making the data comparable under a unified dimension). The preprocessed data will provide an accurate basis for subsequent analysis, dividing the area around the dangerous workstation into multiple sub-areas, and determining the size and shape of the sub-areas according to the actual application scenario and the layout of the monitoring equipment. The flow of people in each sub-area is calculated to obtain the flow data of people in each area within a specific time period. Statistical analysis methods, such as mean comparison and variance analysis, are used to compare the flow data of people in each sub-area to find out the areas where the flow of people is lower than the average level. These areas are low-flow areas. A threshold can be set. When the flow of people in a certain area is lower than the threshold, it is marked as a low-flow area. The low-flow area information obtained through flow comparison analysis can be marked on the map using visualization tools (such as GIS maps, heat maps, etc.) to intuitively display the areas where operators do not frequently move, which is convenient for further analysis by security management personnel.

[0063] In addition, since the flow of people information may change over time, it is necessary to repeat the above analysis process regularly to improve the accuracy and real-time nature of the low-flow area information. The division and identification of low-flow areas are adjusted according to the latest data to adapt to changes in the actual working environment.

[0064] S330, designing according to the infrequent activity area indicated by the low-flow area information to obtain first design information.

[0065] For example, by clarifying the purpose and expected effect of the design; for example, whether it is to optimize the workflow, reduce safety risks, or improve resource utilization efficiency, analyze the specific characteristics of the low-flow area, including its location, size, shape, and correlation with other areas; low-flow areas can be field surveys to verify the accuracy of traffic data and collect information on other factors that may affect the design, such as environmental conditions, equipment layout, etc.; and the traffic data monitored by monitoring equipment can also be used to conduct preliminary designs, which may include drawing sketches, making preliminary three-dimensional models, or conducting simple simulation experiments. In the design process, by utilizing the characteristics and constraints of low-flow areas, the feasibility and effectiveness of the design scheme are improved, and then organized into the first design information.

[0066] With such a setting, effective design can be carried out according to the infrequent activity areas indicated by the low-traffic area information, and the first design information that meets the actual needs can be obtained, which not only helps to improve work efficiency and safety, but also reduces operating costs to a certain extent.

[0067] S400, determining a workstation based on the first design information to obtain second design information; wherein the second design information is used to indicate design parameters under the influence of an operator and under the influence of the dangerous workstation itself.

[0068] For example, the design points in the first design information can be used, including the optimized layout of low-flow areas, equipment configuration, and work flow; analyze the specific needs of the workstation, such as the operator's range of activities, operating frequency, required safety distance, etc.; consider the characteristics of dangerous workstations, such as potential sources of danger, scope of influence, safety standards, etc. Evaluate the operator's activity pattern at the workstation, including movement path, dwell time, operating actions, etc., and use simulation software or physical models to simulate the dangerous workstation to simulate its scope and intensity of influence under different working conditions; according to the simulation results, set reasonable safety distances and protective measures to improve the workstation design in compliance with safety standards. Combined with the results of the operator impact assessment and the dangerous workstation's own impact simulation, a comprehensive design of the workstation is carried out to keep the operator's activity area at an appropriate safety distance from the dangerous workstation. According to the comprehensive design results, the specific design parameters of the workstation are determined, such as safety distance, equipment spacing, operating channel width, etc., to obtain the second design information.

[0069] In one possible implementation, see Figure 4 , S400, determining a work station based on the first design information to obtain second design information, including:

[0070] S410, performing an impact analysis on the dangerous workstation according to the first design information to obtain first impact information; wherein the first impact information is used to indicate a danger level value of the danger brought to the operator by the inherent factors of the dangerous workstation.

[0071] For example, the dangerous workstations in the first design information are classified in detail, and all potential sources of danger are identified, such as chemical leakage, mechanical movement, electrical equipment, etc. Risk assessment tools, such as fault tree analysis (FTA) or event tree analysis (ETA), are used to quantitatively or qualitatively analyze each source of danger to determine its probability of occurrence and possible consequences. According to the analysis results, a danger level value is assigned to each dangerous workstation, which reflects the potential degree of danger to the operator due to the dangerous workstation's own factors. The principles of human factors engineering can be used to analyze the activity patterns and behavioral habits of operators near dangerous workstations, evaluate their exposure to dangerous sources, simulate operators' activities near dangerous workstations, and evaluate their interaction with dangerous sources. Finally, the results of the dangerous workstation impact analysis are organized into the first impact information, which may include, but not limited to, the danger level value, the scope of impact, potential risks, etc., thereby effectively reducing the risk of operators in dangerous workstations.

[0072] In one possible implementation, see Figure 5 , S410, performing an impact analysis on the dangerous workstation according to the first design information to obtain first impact information, including:

[0073] S411, if it is detected that the machine corresponding to the current bag feeder station of the bag feeder performs the operation of the operator, and the current bag feeder station is a dangerous station, the initial position information of the operator is obtained; wherein the initial position information is the position where the sensor detects the operator for the first time.

[0074] For example, when it is detected that the machine corresponding to the current bag feeder station of the bag feeder performs the operation of the operator, and the current bag feeder station is a dangerous station, the sensor network can be used to track the movement trajectory of the operator in real time and record its activity path around the dangerous station. The sensor network can include but is not limited to infrared sensors, ultrasonic sensors, laser scanners, etc. These sensors can monitor the position changes of the operator in real time, and combine the operator's activity trajectory and the characteristics of the dangerous station to evaluate the operator's risk exposure at different stations. By simulating the operator's activities around the dangerous station, the probability of contact with the danger source and the possible exposure time can be calculated. The operator's risk exposure at a specific station can be further evaluated by combining the danger level value of the dangerous station, and a corresponding risk assessment report can be generated. The first impact information is generated by extracting from the risk assessment report.

[0075] S412, performing speed calculation based on the first design information and the initial position information of the operator to obtain speed information of the operator; wherein the speed information is used to indicate the speed value of the operator moving toward the dangerous workstation.

[0076] For example, a variety of sensor data fusion technologies can be used, such as using accelerometers, gyroscopes, GPS and other devices to monitor the operator's movement speed and direction in real time. By analyzing these sensor data, the operator's movement speed and acceleration in a specific time period can be calculated. Combined with the layout of the dangerous workstation in the first design information and the operator's initial position information, the speed value of the operator moving to the dangerous workstation can be accurately calculated. For example, if the operator moves from a safe area to a dangerous workstation, its speed can be monitored in real time, and the time when it arrives at the dangerous workstation can be predicted by an algorithm; the operator's movement state can be monitored in real time by an accelerometer and a gyroscope, and its acceleration can be obtained. Combined with the operator's initial position information and current movement state data, the instantaneous speed and direction of the operator can be calculated using a kinematic model; according to the layout of the dangerous workstation in the first design information, the speed value of the operator moving to the dangerous workstation is evaluated, and a corresponding speed information report is generated to obtain the operator's speed information.

[0077] S413, determining the moving time information of the operator to reach the preset danger warning area according to the initial position information and speed information of the operator; wherein the moving time information is used to indicate the time required for the operator to reach the preset danger warning area.

[0078] Exemplarily, based on the operator's initial position information and speed information, combined with the layout of the dangerous workstation, the theoretical distance for the operator to reach the preset danger warning area is calculated; wherein, the preset danger warning area refers to a safety boundary set around the dangerous workstation. Once the operator enters the work workshop, the real-time monitoring data is used, combined with the operator's movement speed and direction, to calculate the actual time required for the operator to reach the preset danger warning area; for example, when the operator's initial position is assumed to be the workshop entrance, assuming that the distance for the operator to reach the preset danger warning area is 50 meters, and assuming that the operator's speed is 2 seconds / meter, the movement time for the operator to reach the preset danger warning area is calculated to be 100 seconds, and the movement time information can be obtained.

[0079] S414, analyzing based on the speed information and the moving time information, obtaining the working time information of the dangerous workstation; wherein the working time information is used to indicate the remaining operating time of the machine in the dangerous workstation.

[0080] Exemplarily, based on the work flow and operating requirements of the dangerous workstation, the theoretical time required to complete the operation of the workstation is determined. This step includes analyzing the specific operation content of the dangerous workstation, including the time required for each step and the possible waiting time. The actual time required for the operator to reach the dangerous workstation is calculated in combination with the operator's initial position information and speed information. The theoretical time and the actual time are comprehensively analyzed to obtain the remaining operating time of the machine in the dangerous workstation. Based on the actual operating speed and efficiency of the operator in the dangerous workstation, and possible unexpected situations, such as equipment failure or temporary pauses of the operator, the operator's work progress in the dangerous workstation can be monitored in real time based on the obtained working time information, and compared with the remaining operating time to obtain the working time information of the dangerous workstation.

[0081] S415: Obtain first impact information based on the working time information.

[0082] For example, working time information can be used as a key indicator to evaluate the operating efficiency and safety of dangerous workstations. By analyzing the remaining operating time of the machine in the dangerous workstation, the operator's work progress and potential risks in the workstation can be predicted; if the remaining operating time is short, it indicates that it may be necessary to speed up to complete the task, which may increase the operating risk; on the contrary, if the remaining operating time is long, it may mean that the operator has more time to conduct safety checks and preventive measures, thereby reducing the risk. The impact of working time information on the entire production process can also be further analyzed. For example, if the operating time of a dangerous workstation is too long, it may lead to a decrease in the efficiency of the entire production line. Through real-time monitoring and analysis, optimization suggestions can be provided, such as adjusting the operation process, adding manpower or improving equipment to improve production efficiency and safety. By analyzing the working time information, the first impact information can be obtained, including the impact of multiple aspects such as operating efficiency, production process optimization, and operator workload, which helps enterprises to adjust production strategies in a timely manner and improve the safety and efficiency of the production process.

[0083] With this setting, through the comprehensive use of sensor technology, data analysis and dynamic adjustment methods, it is possible to effectively conduct impact analysis on dangerous workstations and take corresponding preventive measures to ensure the safety of operators and improve production efficiency, thereby reducing the risk of accidents and improving the safety of operators.

[0084] In one possible implementation, see Figure 6 , S415, obtaining first impact information according to the working time information, including:

[0085] S4151, comparing the working time information with the moving time information.

[0086] Exemplarily, the working time data and moving time data of operators in dangerous workstations can be collected and organized. These data can come from sensors installed in the workstations, such as position trackers, motion sensors, etc.; through these sensors, the activities of operators in the workstations can be monitored in real time, and the system will analyze the collected data to identify the relationship between the working time and moving time of operators in dangerous workstations; for example, the average working time and moving time of operators when completing specific tasks can be calculated, and the proportional relationship between the two can be analyzed.

[0087] S4152: If the working time information is less than the moving time information, the first impact information is obtained.

[0088] Exemplarily, when the work items at the bag feeder station are items that have an impact on the human body, by obtaining working time information and moving time information, the working time information and moving time information can be obtained through a time tracking system, a GPS positioning device or other related tools, or obtained through real-time monitoring by a real-time monitoring system; a preliminary analysis is performed on the collected information, the employee's working hours and moving time are calculated, and the two are compared. If the working time information is less than the moving time information, it is analyzed that when the operator arrives at the bag feeder working position, the work items at the bag feeder station have been completed. Since the work items are items that have an impact on the operator, when the working time of the project is less than the moving time, this work item will not cause harm to the operator. Therefore, when the working time information is less than the moving time information, the first impact information can be obtained.

[0089] S4153, if the working time information is greater than the moving time information, the working speed is adjusted for the working time information to obtain adjustment information; wherein the adjustment information is the working time information that is less than the moving time information obtained by adjusting the operating speed of the machine.

[0090] Exemplarily, when the work items at the bag feeder station are items that have an impact on the human body, the working time information and the moving time information are obtained, and then the collected information is preliminarily analyzed to calculate the working time and moving time of each employee, and the two are compared. When the working time information is greater than the moving time information, it is analyzed that when the operator arrives at the bag feeder working position, the work items at the bag feeder station have not been completed. Because the work items are items that have an impact on the operator, the working time of the items is greater than the moving time. If the operator walks directly into the bag feeder station, it will cause harm to the operator. Therefore, the speed of the working equipment at the bag feeder station can be adjusted, such as the working speed parameters and the work quantity parameters, to obtain the adjustment information.

[0091] S4154: Obtain first impact information according to the adjustment information.

[0092] For example, the adjusted data can be comprehensively analyzed, including comparing the adjusted working time of each task with the moving time to determine whether the adjustment measures are effective. Use statistical software (such as SPSS or SAS) to perform these analyses to improve the accuracy and reliability of the results, and conduct further in-depth analysis on tasks where the working time is still greater than the moving time, which may include a comprehensive assessment of multiple factors such as the working environment, employee work habits, and equipment performance. Multivariate analysis methods (such as multiple regression analysis) will be used to identify the main factors affecting working time, and tracking and analyzing the main factors can effectively obtain the first impact information based on the adjustment information.

[0093] With such a setting, different processing methods can be obtained by judging the size of the working time information and the moving time information, thereby reducing the harm and danger to the operators, improving the safety and reliability of the bag feeding machine station during operation, making the operation of the bag feeding machine station more flexible, and improving the perfection of the bag feeding machine station.

[0094] S420, performing an influence analysis on the characteristic factors of the operator according to the first design information to obtain second influence information; wherein the second influence information is used to indicate the danger level value due to the different physical characteristics and part characteristics of the operator himself, the physical characteristics include height and weight, and the part characteristics include nose and mouth.

[0095] For example, it can be based on the operator's basic physical characteristics data, including height, weight, etc. In addition, part feature data such as mouth, nose, etc. also need to be recorded. This data can be obtained through physical examination reports, professional equipment measurements or questionnaires, and then the operator's physical characteristics and part features are analyzed using ergonomic principles and methods; this includes evaluating the physical load, posture risks and repetitive strain injuries that operators may face when performing specific tasks, and then using biomechanical analysis tools (such as motion capture systems) to simulate the operator's movements to identify potential danger points. In order to obtain the second impact information, the first design information and the operator's physical characteristic data will be combined for a comprehensive analysis, which uses computer-aided design (CAD) software and human model software (such as Jack or RAMSIS) to simulate the operator's performance in a specific working environment. This method can evaluate the danger level of operators with different physical characteristics when performing tasks. After determining that the operator's physical characteristics and part characteristics are affected by the corresponding different danger levels, corresponding preventive measures can be formulated, which may include adjusting the working environment, optimizing the work process, etc. Risk assessment methods (such as fault tree analysis or risk matrix) will be used to determine the priority and effectiveness of preventive measures, and secondary impact information can be obtained. For example, when working with materials in the chemical industry, in terms of physical characteristics, people of different heights inhale different harmful substances, and people of different weights and body shapes have different ways of harmful substances adhering to the body. In terms of part characteristics, different people have different mouths and noses, so the amount of breathing is different, so people with strong breathing may inhale more harmful gases or substances.

[0096] In one possible implementation, see Figure 7 , S420, analyzing the characteristic factors of the operator according to the first design information to obtain second influencing information, including:

[0097] S421, if it is detected that the machine corresponding to the current bag feeder station of the bag feeder performs the operation of the operator, and the currently detected bag feeder station is a dangerous station, the operator's number information is identified; wherein the number information is used to indicate the operator's unique identity number.

[0098] For example, the number information for identifying the operator can be embedded in the operator's work clothes or identification card. When the operator approaches the bag feeding machine station, the RFID reader will automatically detect and read the tag information to identify the operator's number. This method can achieve a fast identification process without human intervention. It can be to use biometric technologies such as fingerprint recognition, facial recognition or iris scanning to identify the operator and provide accurate number information. It can be to print a barcode or QR code on the operator's identification card, and when the operator enters the bag feeding machine station, use a scanning device to read the barcode or QR code to identify the operator's number. The operator can also wear a smart watch or wearable device, which can communicate with the system of the bag feeding machine station and automatically send the operator's number information.

[0099] S422, inputting the serial number information into a feature database for identification processing to obtain the identity information of the operator; wherein the identity information is used to indicate the respiratory volume value of the operator.

[0100] For example, it can be achieved by establishing a comprehensive feature database, which will store detailed information of the operator, including physical characteristics, past health records, work performance, and use of personal protective equipment; in order to ensure the accuracy and completeness of the data, data entry and management technology will be used to input the number information into the feature database for identification processing to obtain the identity information of the operator; wherein the identity information is used to indicate the respiratory volume value of the operator. In order to achieve this process, biometric technology, such as heart rate monitoring and respiratory rate sensors, can be used to monitor the physiological parameters of the operator in real time. These data will be matched with the information in the feature database to accurately identify the identity of the operator, and the pre-set dangerous workstation operator feature database can be called according to the operator's identity information and the first design information. The database will contain the physiological parameter thresholds of the operator at a specific dangerous workstation, such as the maximum allowable value of the respiratory volume. The system will use data mining technology to analyze the information in the database to determine the potential degree of danger of the operator at the current dangerous workstation, which may include a comparison of the operator's real-time physiological parameters with the preset thresholds, as well as a comprehensive assessment of the operator's past injury records, physical condition, and work performance. For example, when the equipment on the bag feeding machine station is working, if it is working with harmful gases or liquids such as chemicals, the operators' breathing volume can be used to determine which operators are responsible for the work and which are not allowed to be responsible; it can also be that when the operator moves to the equipment at the bag feeding machine station, the breathing volume value in the operator's identity information is used to determine whether the operator's breathing volume is consistent with being responsible for the work; for example, when working in the chemical industry, the concentration and quantity of toxic substances emitted are relatively strong. If both operators wear safety protection measures at this time, but the breathing volume of operator A is greater than that of operator B, then operator A will inhale more harm to his body and the possibility of being in danger will be higher, so it is possible to determine whether the current operator meets the requirements based on the breathing volume.

[0101] S423, after obtaining the breathing volume value of the operator, obtaining the position information of the operator; wherein the position information is used to reflect the direction and distance value of the operator at the dangerous workstation.

[0102] For example, multiple high-precision positioning sensors are installed in the dangerous workstation area of ​​the bag feeding machine. These sensors can be devices based on ultrasonic, infrared or radio frequency identification (RFID) technology, which can monitor and record the specific position of the operator in the dangerous workstation in real time; after obtaining the operator's breathing volume value, the operator's location information will be obtained through the positioning sensor. To achieve this process, the positioning sensor can be initialized and set to cover the entire dangerous workstation area and accurately capture the position change of the operator. The data from the positioning sensor will be received in real time and analyzed by the algorithm to determine the specific position of the operator in the dangerous workstation; the direction and distance value of the operator can be calculated by using triangulation, fingerprint positioning or other spatial positioning technologies, combined with the operator's number information and real-time location data, to generate a dynamic three-dimensional model, which can intuitively display the specific position and direction of the operator in the dangerous workstation, and evaluate whether the operator is potentially dangerous in the current dangerous workstation according to the operator's breathing volume value.

[0103] S424, processing the first design information, identity information and location information to obtain first workstation angle information; wherein the first workstation angle information is used to indicate the moving direction of the dangerous workstation.

[0104] Exemplarily, the first design information is parsed. By parsing this information, the relative position and spatial relationship of each workstation can be determined. Combined with the identity information, the current operator's workstation and his or her identity authority can be identified. The identity information may include the operator's name, work number, job responsibilities, etc. The location information will provide the operator's current real-time location information; this information can be obtained through various positioning technologies, such as RFID, GPS or indoor positioning systems, etc. By combining the location information with the design information and identity information, the operator's current workstation can be determined; after obtaining these key information, a series of calculations and analyses will be performed to determine the moving direction of the dangerous workstation; in detail, the first design information, identity information and location information are integrated into a unified data model to make the format and coordinate system of all information consistent In order to carry out subsequent calculations, spatial analysis algorithms, such as geometric analysis or topological analysis, are used to determine the spatial relationship between the operator's current position and each workstation, identify the relative position between the operator and the dangerous workstation, and then generate the first workstation angle information based on the operator's identity authority and the degree of danger of the workstation; for example, at this time, the work equipment on the dangerous workstation is placing chemical products in corresponding bags, which will emit some dangerous gases. If the operator is facing the work equipment on the dangerous workstation at this time, then the workstation angle of the work equipment on the dangerous workstation is adjusted according to the operator's first design information, identity information and position information, and it is moved in the direction away from the operator's position. After the adjustment, the operator will no longer be facing the work equipment on the dangerous workstation, which will reduce the danger to the operator.

[0105] S425, obtaining second impact information according to the first workstation angle information.

[0106] For example, the operator's expected movement path can be determined based on the first workstation angle information, other workstations or areas that the path may pass through can be identified, and potential risk factors in these areas can be analyzed. For each workstation or area that may be affected, the risk factors existing inside can be understood, and the risk factors may include the equipment operation status, material storage conditions, activities of other personnel, etc.; the operator's expected movement path will be evaluated based on the risk factors. The evaluation will consider the impact that the operator may have on other workstations or areas during the movement, such as possible chain reactions, equipment failures, material leakage, etc., and by comprehensively considering the first workstation angle information and the impact assessment results, a comprehensive analysis will be conducted to determine whether the operator's movement direction indicated by the first workstation angle information will cause risks in other workstations or areas, and the second impact information will be generated based on the comprehensive analysis results.

[0107] Such a setting can effectively obtain the second impact information based on the first workstation angle information, thereby providing comprehensive risk assessment and decision-making support for operators and managers, improving safety and efficiency in the work process, improving the safety of operators at work, and improving the reliability of standby workstations.

[0108] In one possible implementation, see Figure 8 , S425, obtaining second impact information according to the first workstation angle information, including:

[0109] S4251, performing height detection on the operator based on the angle information of the first workstation to obtain height information; wherein the height information is used to indicate the height difference between the dangerous workstation and the operator.

[0110] Exemplarily, height detection equipment can be deployed in the working area. These equipment can be laser rangefinders, ultrasonic sensors or other equipment that can measure the height difference between the operator and the dangerous workstation, so that these equipment covers all key areas and is effectively connected to the system; before starting height detection, the height detection equipment can be calibrated to improve the accuracy of its measurement results. The calibration process includes setting reference points, adjusting equipment parameters, and performing multiple tests to verify the consistency of the measurement results; when the operator enters the working area, the height detection equipment starts to collect data in real time. These data include the operator's real-time height information and the height difference relative to the dangerous workstation. The collected height data is combined with the angle information of the first workstation, and the height difference and angle between the operator and the dangerous workstation are calculated through the angle value and the height value. The height information is generated based on the processing and analysis results. The height information describes the height difference between the operator and the dangerous workstation to determine the impact of the dangerous workstation on people of different heights.

[0111] S4252, obtaining the distance information of the operator; wherein the distance information is used to reflect the distance value between the operator and the dangerous workstation.

[0112] For example, to obtain the distance information of the operator, it is necessary to first deploy distance detection equipment in the work area. The equipment can be a laser rangefinder, infrared sensor, ultrasonic sensor or other equipment that can measure the distance between the operator and the dangerous workstation, but not limited to this; these devices cover all key areas and are effectively connected to the system. Before starting distance detection, the distance detection equipment needs to be calibrated to improve the accuracy of its measurement results. The calibration process includes setting reference points, adjusting equipment parameters, and performing multiple tests to verify the consistency of measurement results.

[0113] S4253, analyzing the height information and the distance information to obtain the second workstation angle information; wherein the second workstation angle information is used to indicate the adjustable safety angle value of the dangerous workstation, and the safety angle value is the angle value with the lowest safety impact of the dangerous workstation on the operator.

[0114] Exemplarily, the height information and the distance information are integrated, and a three-dimensional space model is established based on the integrated data. The model will reflect the specific position of the operator in the working area and the relative position of the dangerous workstation; based on the three-dimensional space model, the safety angle between the operator and the dangerous workstation will be calculated, mainly by considering the height and distance information of the operator to determine the angle information of the second workstation, and the calculated angle will be analyzed for safety impact. By simulating the safety risks under different angles, the angle value with the lowest safety impact of the dangerous workstation on the operator can be determined, and then the angle information of the second workstation is generated based on the safety impact analysis results; for example, at this time, the working equipment on the dangerous workstation is placing chemical products in corresponding bags, and some dangerous gases will be emitted. At this time, if the operator is facing the working equipment on the dangerous workstation, then the angle of the working equipment on the dangerous workstation will be adjusted according to the height information and distance information of the operator. After the angle is adjusted, the operator will no longer be facing the working equipment on the dangerous workstation, which will reduce the danger to the operator.

[0115] S4254, obtaining second impact information according to the second workstation angle information.

[0116] Exemplarily, the second workstation angle information is extracted from the three-dimensional space model so that the angle data can be used accurately in the analysis process. Various influencing factors related to the second workstation angle are analyzed. These factors may include the range of activities of the operator, the movement trajectory of the dangerous workstation, the operating status of the equipment, etc. The safety impact of the second workstation angle on the operator is calculated through the influencing factors. The second impact information is then generated based on the impact calculation result; this information will describe in detail the specific impact of the second workstation angle on the safety of the operator, including potential risk points and preventive measures that need to be taken, and effectively obtain the second impact information based on the second workstation angle information, thereby providing real-time safety impact data for the operator, ensuring their safety during the work process, effectively preventing safety accidents caused by improper angles, and improving the safety of the entire working environment.

[0117] S430, performing parameter optimization design according to the first impact information and the second impact information to obtain second design information.

[0118] Exemplarily, the first influencing information and the second influencing information are integrated so that all relevant factors can be fully considered in the parameter optimization design process, and key parameters related to the safety of the working environment and production efficiency can be identified. These parameters may include equipment layout, operator range of activity, motion trajectory of dangerous workstations, etc. The key parameters are optimized using optimization algorithms (such as genetic algorithms, particle swarm optimization algorithms, or simulated annealing algorithms). The best parameter combination can be found through iterative calculations to maximize the safety of the working environment and production efficiency, and the optimized parameters are verified through three-dimensional simulation technology. Various possible working conditions and abnormal conditions will be considered during the simulation process to improve the feasibility and safety of the optimized design, and the second design information will be generated based on the simulation verification results.

[0119] With such a configuration, the parameter optimization design can be effectively performed according to the first influence information and the second influence information, thereby obtaining the second design information. This can not only improve the safety of the operator, but also improve the production efficiency and the overall performance of the working environment, effectively prevent safety accidents caused by improper parameters, and improve the safety and production efficiency of the entire working environment.

[0120] S500, obtaining workstation design information according to the first design information and the second design information.

[0121] Exemplarily, integrating the first design information and the second design information, and comparing and analyzing the differences and commonalities between the two, can help identify possible problems and improvement points in different design stages, so that the final workstation design information can comprehensively consider all relevant factors, and conduct a comprehensive evaluation based on the integrated design information to determine the optimal workstation design solution; this step may involve a multi-objective optimization algorithm to balance factors such as safety, production efficiency, and cost. Through the optimization algorithm, a workstation design information that comprehensively considers various needs can be obtained, and the comprehensively optimized workstation design information can be verified by using computer simulation technology. By simulating different workstation operation scenarios, the safety performance and production efficiency of the design information in actual applications are evaluated; based on the simulation results, the design information is further optimized to improve its effectiveness and reliability in actual production, and the verified and optimized design information is integrated into the final workstation design information.

[0122] Such a setting can effectively integrate the first design information and the second design information to generate the final workstation design information, which not only helps to improve the safety and production efficiency of the production process, but also provides a scientific decision-making basis for the workshop management, and can make the design of the bag feeding machine workstation more perfect, improve the flexibility of operation, thereby reducing the threats and injuries to the operators, and improve the safety of the operators at work, which can improve the production efficiency and product quality of the bag feeding machine workstation.

[0123] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0124] Corresponding to the bag feeding machine station design method described in the above embodiment, the embodiment of the present application also provides a bag feeding machine station design system, and each unit of the system can implement each step of the bag feeding machine station design method. Fig. 9 A structural block diagram of a bag feeding machine station design system provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0125] Reference Fig. 9 , the bag feeding machine station design system includes:

[0126] an acquisition unit, used to acquire multiple bag feeder station information of the bag feeder in the production workshop; wherein the bag feeder station information includes station sequence number information and station function information, the station sequence number information is used to indicate the number of each bag feeder station in the production workshop, and the station function information is used to indicate the machine operation corresponding to each bag feeder station;

[0127] An analysis unit, used for analyzing the plurality of workstation sequence number information and the plurality of workstation function information to obtain workstation hazard information; wherein the workstation hazard information is used to indicate a dangerous workstation that emits dangerous substances or dangerous gases, and the dangerous workstation includes a material filling workstation, a sealing workstation, a waste processing workstation or an equipment maintenance and cleaning workstation;

[0128] A first design unit is used to analyze the workstation hazard information to obtain first design information; wherein the first design information is used to indicate the design parameters of the dangerous workstation in terms of location;

[0129] A second design unit is used to determine the workstation based on the first design information to obtain second design information; wherein the second design information is used to indicate design parameters under the influence of the operator and the influence of the dangerous workstation itself;

[0130] A result unit is used to obtain the workstation design information according to the first design information and the second design information.

[0131] It should be noted that the information interaction, execution process, etc. between the above-mentioned systems / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0132] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0133] The embodiment of the present application also provides a bag feeding machine station design device, Fig.10 This is a schematic diagram of the structure of the bag feeding machine station design equipment provided in one embodiment of the present application. Fig.10 As shown, the bag feeding machine station design device 6 of this embodiment includes: at least one processor 60 ( Fig.10 Only one is shown), at least one memory 61 ( Fig.10 Only one is shown in the figure) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the bag feeding machine station design device 6 implements the steps in any of the above-mentioned bag feeding machine station design method embodiments, or implements the functions of each module / unit in the above-mentioned system embodiments.

[0134] Exemplarily, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the bag feeding machine station design device 6.

[0135] The bag feeding machine station design device 6 can be a computing device such as a desktop computer, a notebook, etc. The bag feeding machine station design device can include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Fig.10It is only an example of the bag feeding machine station design equipment 6 and does not constitute a limitation on the bag feeding machine station design equipment 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0136] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0137] In some embodiments, the memory 61 may be an internal storage unit of the bag feeder station design device 6, such as a hard disk or memory of the bag feeder station design device 6. In other embodiments, the memory 61 may also be an external storage device of the bag feeder station design device 6, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the bag feeder station design device 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the bag feeder station design device 6. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0138] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0139] An embodiment of the present application provides a computer program product. When the computer program product is run on a bag feeding machine station design device, the bag feeding machine station design device implements the steps in any of the above-mentioned method embodiments.

[0140] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the bag feeding machine station design equipment, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, U disk, mobile hard disk, disk or optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0141] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0142] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0143] In the embodiments provided in the present application, it should be understood that the disclosed bag feeder station design system, equipment and method can be implemented in other ways. For example, the bag feeder station design system and equipment embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0144] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0145] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person 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 do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for designing a bag feeding machine station, characterized in that: include: Acquire multiple bag feeder station information of bag feeders in a production workshop; wherein the bag feeder station information includes station sequence number information and station function information, the station sequence number information is used to indicate the number of the bag feeder station, and the station function information is used to indicate the machine operation corresponding to the bag feeder station; Analyze the plurality of workstation sequence number information and the plurality of workstation function information to obtain workstation hazard information; wherein the workstation hazard information is used to indicate a dangerous workstation that emits dangerous substances or dangerous gases, and the dangerous workstation includes a material filling workstation, a sealing workstation, a waste processing workstation, or an equipment maintenance and cleaning workstation; Analyze the workstation hazard information to obtain first design information; wherein the first design information is used to indicate the design parameters of the dangerous workstation in terms of location; Determine the workstation based on the first design information to obtain second design information; wherein the second design information is used to indicate design parameters under the influence of the operator and the influence of the dangerous workstation itself; Obtaining workstation design information according to the first design information and the second design information; wherein the first design information and the second design information are integrated, and the differences and commonalities between the two are compared and analyzed, and problems and improvement points existing in different design stages are identified, so that the final workstation design information can comprehensively consider all relevant factors, and a comprehensive evaluation is performed based on the integrated design information to determine the optimal workstation design solution; The analyzing the plurality of workstation sequence number information and the plurality of workstation function information to obtain the workstation hazard information includes: Obtaining order information of products to be produced; wherein the order information is used to reflect the customer's product requirements, and the product requirements include product performance and physical form; Inputting the plurality of workstation sequence number information, the plurality of workstation function information and the product requirements indicated by the order information into a hazard detection model for detection and matching processing to obtain workstation hazard information; Among them, the hazard detection model is a machine learning model that is pre-trained using the workstation sequence number information, workstation function information and product requirements indicated by the corresponding order information as input and the corresponding workstation hazard information as output.

2. The bag feeding machine station design method according to claim 1, characterized in that: The step of analyzing the workstation hazard information to obtain first design information includes: Obtaining the human flow information of multiple areas around the dangerous workstation; wherein the human flow information is obtained by detecting multiple areas around the dangerous workstation; Compare multiple pieces of human flow information to obtain low-flow area information; wherein the low-flow area information is used to indicate an area where operators do not frequently move; Design is performed according to the infrequent activity area indicated by the low-flow area information to obtain first design information.

3. The bag feeding machine station design method according to claim 2, characterized in that: The step of determining a workstation based on the first design information to obtain second design information includes: Performing an impact analysis on the dangerous workstation according to the first design information to obtain first impact information; wherein the first impact information is used to indicate a danger level value of the danger brought to the operator by the inherent factors of the dangerous workstation; Performing an influence analysis on the characteristic factors of the operator according to the first design information to obtain second influence information; wherein the second influence information is used to indicate the danger level value due to the different physical characteristics and body part characteristics of the operator, the physical characteristics include height and weight, and the body part characteristics include nose and mouth; Parameter optimization design is performed according to the first impact information and the second impact information to obtain second design information.

4. The method for designing a bag feeding machine station as claimed in claim 3, characterized in that: The performing an impact analysis on the dangerous workstation according to the first design information to obtain first impact information includes: If it is detected that the machine corresponding to the current bag feeder station of the bag feeder performs the operation of the operator, and the current bag feeder station is a dangerous station, the initial position information of the operator is obtained; wherein the initial position information is the position of the operator detected by the sensor for the first time; Performing speed calculation based on the first design information and the initial position information of the operator to obtain speed information of the operator; wherein the speed information is used to indicate the speed value of the operator moving toward the dangerous workstation; Determine the moving time information of the operator to reach the preset danger warning area according to the initial position information and the speed information of the operator; wherein the moving time information is used to indicate the time required for the operator to reach the preset danger warning area; Based on the speed information and the moving time information, the working time information of the dangerous workstation is analyzed to obtain the working time information of the dangerous workstation; wherein the working time information is used to indicate the remaining operating time of the machine in the dangerous workstation; First impact information is obtained according to the working time information.

5. The method for designing a bag feeding machine station as claimed in claim 4, characterized in that: The obtaining of first impact information according to the working time information includes: Comparing the working time information with the moving time information; If the working duration information is less than the moving duration information, obtaining the first impact information; If the working time information is greater than the moving time information, the working time information is adjusted for working speed to obtain adjustment information; wherein the adjustment information is the working time information less than the moving time information obtained by adjusting the operating speed of the machine; The first impact information is obtained according to the adjustment information.

6. The method for designing a bag feeding machine station as claimed in claim 3, characterized in that: The step of analyzing the characteristic factors of the operator according to the first design information to obtain the second influencing information includes: If it is detected that the machine corresponding to the current bag feeder station of the bag feeder performs the operation of the operator, and the current bag feeder station is a dangerous station, the number information of the operator is identified; wherein the number information is used to indicate the unique identity number of the operator; Input the number information into a feature database for identification processing to obtain the identity information of the operator; wherein the identity information is used to indicate the respiratory volume value of the operator; After obtaining the breathing volume value of the operator, obtaining the position information of the operator; wherein the position information is used to reflect the direction and distance value of the operator at the dangerous workstation; Processing the first design information, the identity information and the position information to obtain first workstation angle information; wherein the first workstation angle information is used to indicate the moving direction of the dangerous workstation; The second impact information is obtained according to the first workstation angle information.

7. The method for designing a bag feeding machine station according to claim 6, characterized in that: The obtaining of second impact information according to the first workstation angle information includes: Performing height detection on the operator based on the first workstation angle information to obtain height information; wherein the height information is used to indicate the height difference between the dangerous workstation and the operator; Acquire the distance information of the operator; wherein the distance information is used to reflect the distance value between the operator and the dangerous workstation; Analyze the height information and the distance information to obtain second workstation angle information; wherein the second workstation angle information is used to indicate an adjustable safety angle value of the dangerous workstation, and the safety angle value is the angle value at which the dangerous workstation has the lowest safety impact on the operator; The second impact information is obtained according to the second workstation angle information.

8. A bag feeding machine station design system, characterized in that: include: an acquisition unit, used for acquiring multiple bag feeder station information of the bag feeder in the production workshop; wherein the bag feeder station information includes station sequence number information and station function information, wherein the station sequence number information is used for indicating the number of each bag feeder station in the production workshop, and the station function information is used for indicating the machine operation corresponding to each bag feeder station; An analysis unit, configured to analyze the plurality of workstation sequence number information and the plurality of workstation function information to obtain workstation hazard information; wherein the workstation hazard information is used to indicate a dangerous workstation that emits dangerous substances or dangerous gases, and the dangerous workstation includes a material filling workstation, a sealing workstation, a waste processing workstation, or an equipment maintenance and cleaning workstation; A first design unit, configured to analyze the workstation hazard information to obtain first design information; wherein the first design information is used to indicate a design parameter of the dangerous workstation in terms of position; A second design unit is used to determine the workstation based on the first design information to obtain second design information; wherein the second design information is used to indicate design parameters under the influence of the operator and the influence of the dangerous workstation itself; A result unit is used to obtain workstation design information according to the first design information and the second design information; wherein the first design information and the second design information are integrated, and the differences and commonalities between the two are compared and analyzed, and problems and improvement points existing in different design stages are identified, so that the final workstation design information can comprehensively consider all relevant factors, and a comprehensive evaluation is performed based on the integrated design information to determine the optimal workstation design solution; Wherein, the analysis unit is also used for: Obtaining order information of products to be produced; wherein the order information is used to reflect the customer's product requirements, and the product requirements include product performance and physical form; Inputting the plurality of workstation sequence number information, the plurality of workstation function information and the product requirements indicated by the order information into a hazard detection model for detection and matching processing to obtain workstation hazard information; Among them, the hazard detection model is a machine learning model that is pre-trained using the workstation sequence number information, workstation function information and product requirements indicated by the corresponding order information as input and the corresponding workstation hazard information as output.

9. A bag feeding machine station design device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

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