Adjustable transmission device and control method for health care product production

Abstract

The present application provides an adjustable transmission device and a control method thereof for the production of health products, and relates to the field of mechanical equipment technology. The device includes: a pre-treatment equipment group for performing identification and pre-treatment of raw and auxiliary materials, a molding equipment group for performing processing, molding and finished product packaging of pre-treated raw and auxiliary materials, semi-finished products, and a disinfection equipment group for controlling the environmental cleanliness and temperature and humidity of the factory workshop. The pre-treatment equipment group, the molding equipment group, and the disinfection equipment group have production isolation between equipment groups, which constitute the adjustable transmission device. The present application mainly solves the problem of manual height adjustment, the adjustment process is cumbersome, and the accuracy is low. In addition, the adaptability is insufficient, the transmission efficiency is low, and the stability is insufficient. The control method has the problems of slow response speed and unstable adjustment. By generating control switching instructions to control the adjustable transmission device in real time with the change of batch production work orders, regulation and management are performed, thereby improving production effects and production efficiency.

Description

Technical Field

[0001] The invention relates to the technical field of health care product production, and in particular to an adjustable transmission device and a control method thereof for the production of health care products. Background Art

[0002] With the continuous advancement of science and technology, the automation and intelligence of health care product production equipment are getting higher and higher. By introducing various advanced control technologies and information technologies, health care product production equipment can realize functions such as automated operation, intelligent detection, and real-time monitoring, which greatly improves production efficiency and product quality. In the production of health care products, adjustable transmission devices are widely used, for example, in mixers, tablet presses, coating machines, granulators, dryers and other equipment. These devices can adjust the conveying speed, mixing ratio, processing temperature, feed rate and other parameters of various raw materials according to the requirements of the production process to meet the various needs of health care product production.

[0003] The prior art uses manual spiral lifting and manual winch lifting transmission devices, both of which use electrical control or hydraulic control to produce health products.

[0004] Although the existing technology can manually adjust the height, the adjustment process is cumbersome and the accuracy is low. Other types of transmission devices may have problems such as insufficient adaptability to the environment, low transmission efficiency, and insufficient stability. The control method may have problems such as slow response speed, unstable adjustment, or inability to achieve complex adjustment modes. Summary of the invention

[0005] This application mainly solves the problems of manual height adjustment, which is complicated and has low precision, insufficient adaptability, low transmission efficiency, insufficient stability, slow control response speed and unstable adjustment.

[0006] In view of the above problems, the present application provides an adjustable transmission device for the production of health products and a control method thereof. In the first aspect, the embodiment of the present application provides an adjustable transmission device for the production of health products, and the device includes: a pre-treatment equipment group, which is used to perform the identification and pre-treatment of raw and auxiliary materials. A molding equipment group, which is used to perform the processing, molding and packaging of pre-treated raw and auxiliary materials, semi-finished products. A disinfection equipment group, which is used to control the environmental cleanliness and temperature and humidity of the factory workshop. Among them, the pre-treatment equipment group, the molding equipment group, and the disinfection equipment group are assembled on the target production line, and there is production isolation between the equipment groups, which constitute the adjustable transmission device.

[0007] In the second aspect, the present application provides an adjustable transmission device control method for the production of health products, the method comprising: reading the batch production work order of the target health products, determining the target production line equipment and the benchmark parameter control information based on the pre-production process. The target production line equipment and the benchmark parameter control information are transmitted to the intelligent central control system, and the data mapping and allocation of the sub-integrated control unit are performed to determine the multi-element operation and control data group, wherein the sub-integrated control unit has a one-to-one correspondence with the pre-processing equipment group, the molding equipment group, and the disinfection equipment group. Based on the multi-element operation and control data group, the braking production control of the target production line equipment is performed on the target production line, and the time series production data is collected and acquired synchronously based on the distributed sensor monitoring equipment. The time series production data is fed back to the intelligent central control system, and abnormal braking identification and tuning analysis are performed in combination with the built-in adaptive control model to determine the braking feedback adjustment parameters, and the braking feedback adjustment parameters identify the mapped target production line equipment. The braking feedback adjustment parameters are transferred to the mapping sub-integrated control unit to perform production feedback control of the identified production line equipment. With the change of the batch production work order, a control switching instruction is generated to perform process control management of real-time production operation control.

[0008] In the third aspect, the present application provides an adjustable transmission device control system for the production of health products, the system comprising: a batch production work order reading module, the batch production work order reading module is used to read the batch production work order of the target health product, and determine the target production line equipment and benchmark parameter control information based on the pre-production process. A multi-element operation and control data group determination module, the multi-element operation and control data group determination module is used to transmit the target production line equipment and the benchmark parameter control information to the intelligent central control system, perform data mapping and allocation of the sub-integration control unit, and determine the multi-element operation and control data group, wherein the sub-integration control unit has a one-to-one correspondence with the pre-treatment equipment group, the molding equipment group, and the disinfection equipment group. A timing production data acquisition module, the timing production data acquisition module is based on the multi-element operation and control data group, performs braking production control of the target production line equipment on the target production line, and synchronously collects and acquires timing production data based on distributed sensor monitoring equipment. A braking feedback parameter determination module, the braking feedback parameter determination module is used to feed back the time-series production data to the intelligent central control system, and perform abnormal braking identification and tuning analysis in combination with the built-in adaptive control model to determine the braking feedback parameters, and the braking feedback parameters identify the mapped target production line equipment. A production feedback control module, the production feedback control module is used to transfer the braking feedback parameters to the mapping sub-integrated control unit to perform production feedback control of the identified production line equipment. A control switching instruction generation module, the control switching instruction generation module is used to generate control switching instructions as the batch production work orders change, and perform process control management for real-time production operation control.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] The present application provides an adjustable transmission device for the production of health products and a control method thereof, which relate to the technical field of mechanical equipment. The device comprises: a pre-treatment equipment group for identifying and pre-treating raw and auxiliary materials, a molding equipment group for processing, molding and packaging of pre-treated raw and auxiliary materials, semi-finished products, and a disinfection equipment group for controlling the environmental cleanliness and temperature and humidity of factory workshops. The pre-treatment equipment group, the molding equipment group, and the disinfection equipment group are isolated from each other to form the adjustable transmission device.

[0011] This application mainly solves the problem of manual height adjustment, which is complicated and has low precision. It also has insufficient adaptability, low transmission efficiency, and insufficient stability. The control method has slow response speed and unstable adjustment. By generating control switching instructions to control the adjustable transmission device in real time with the change of batch production work orders, it can be regulated and managed, thereby improving production effects and efficiency.

[0012] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the present disclosure or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0014] Figure 1 A schematic flow chart of a control method for an adjustable transmission device used in the production of health products is provided for the embodiment of the present application;

[0015] Figure 2 A flow chart of a method for determining brake feedback adjustment parameters in a control method of an adjustable transmission device for health care product production is provided for an embodiment of the present application;

[0016] Figure 3 A structural schematic diagram of a control system of an adjustable transmission device for the production of health care products is provided for the embodiment of the present application.

[0017] Explanation of the accompanying drawings: batch production work order reading module 10, multivariate operation control data group determination module 20, time series production data acquisition module 30, brake feedback adjustment parameter determination module 40, production feedback regulation module 50, control switching instruction generation module 60. DETAILED DESCRIPTION

[0018] This application mainly solves the problem of manual height adjustment, which is complicated and has low precision. It also has insufficient adaptability, low transmission efficiency, and insufficient stability. The control method has slow response speed and unstable adjustment. By generating control switching instructions to control the adjustable transmission device in real time with the change of batch production work orders, it can be regulated and managed, thereby improving production effects and efficiency.

[0019] In order to better understand the above technical solution, the above solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0020] Embodiment 1

[0021] An adjustable transmission device for producing health care products, the device comprising:

[0022] Pre-processing equipment group, used to perform identification and pre-processing of raw and auxiliary materials;

[0023] Specifically, the pre-treatment equipment group for the production of health products is mainly responsible for the identification and pre-treatment of raw materials and auxiliary materials. Including testing equipment: used to detect the chemical composition, microbial content and other parameters of raw materials and auxiliary materials to ensure their quality and safety. Cleaning equipment: used to clean, remove impurities, and grade raw materials and auxiliary materials to ensure their purity and effectiveness. Crushing equipment: used to crush raw materials and auxiliary materials into appropriate sizes and particle sizes for better mixing and processing. Mixing equipment: used to mix raw materials and auxiliary materials with other ingredients to prepare various mixtures required for health products. Granulating equipment: used to process the mixture into granules to improve the taste and stability of health products. Drying equipment: used to dry raw materials and processed particles, and control their moisture content to maintain product quality. Tabletting equipment: used to press the dried particles into tablets required for health products. Packaging equipment: used to package health products to ensure their quality and safety, and to facilitate consumer use. These equipment are usually selected and configured according to specific production processes and product requirements to achieve the best production effect and efficiency.

[0024] The molding equipment group is used to perform the processing and molding of pre-processed raw materials and semi-finished products and the packaging of finished products;

[0025] Specifically, the molding equipment group is used to perform the processing, molding and packaging of pre-treated raw materials and semi-finished products. Including pre-treatment equipment: used to pre-treat the raw materials and auxiliary materials processed by the pre-treatment equipment group, including heating, stirring, mixing, emulsification and other equipment for better processing. Processing and molding equipment: used to process the pre-treated raw materials and auxiliary materials into the shape and size required for health products, such as tablets, capsules, granules, etc. This includes tablet presses, punch machines, molds and other equipment. Packaging equipment: used to package the processed and molded health products, which can include filling equipment, sealing equipment, labeling equipment, etc. Testing equipment: used to detect the chemical composition, microbial content and other parameters of the finished product to ensure its quality and safety. These equipment are usually selected and configured according to the specific production process and product requirements to achieve the best production effect and efficiency.

[0026] Disinfection equipment group, used to control the environmental cleanliness, temperature and humidity of the factory workshop;

[0027] Specifically, the disinfection equipment group is used to control the environmental cleanliness and temperature and humidity of the factory workshop. Including air purification equipment: used to filter and purify the air in the factory workshop, remove dust, bacteria and other pollutants, and ensure the cleanliness of the production environment. Ozone generator: used to generate ozone in the factory workshop to disinfect and purify the air and water, and kill bacteria, viruses and other pathogens. Ultraviolet disinfection equipment: used to irradiate the surface and air of the factory workshop with ultraviolet rays to kill bacteria, viruses and other pathogens. Steam sterilizer: used to generate high-temperature and high-pressure steam in the factory workshop to kill bacteria, viruses and other pathogens. Temperature and humidity control equipment: used to monitor and adjust the temperature and humidity of the factory workshop to ensure the stability and suitability of the production environment.

[0028] Among them, the pre-treatment equipment group, the molding equipment group, and the disinfection equipment group are assembled on the target production line, and there is production isolation between the equipment groups, forming the adjustable transmission device.

[0029] Specifically, the pre-treatment equipment group, the molding equipment group and the disinfection equipment group are respectively assembled on the target production line, and there is production isolation between them to constitute the adjustable transmission device. The pre-treatment equipment group may include cleaning equipment, crushing equipment, mixing equipment, etc., which are used to perform the identification and pre-treatment tasks of raw and auxiliary materials. The equipment group can detect the chemical composition, microbial content and other parameters of the raw and auxiliary materials to ensure their quality and safety, and crush, mix, dry, etc. the raw and auxiliary materials. The molding equipment group may include equipment such as tablet presses, punch machines, and molds to process the pre-treated raw and auxiliary materials into the shape and size required for health products. The equipment group can perform quality inspection on the processed semi-finished products to ensure that their shape, size, taste, etc. meet the requirements. The disinfection equipment group may include air purification equipment, ozone generators, ultraviolet disinfection equipment and other equipment for environmental cleanliness and temperature and humidity control of the workshop. The equipment group can disinfect and purify the air, surface and water in the workshop, kill pathogens such as bacteria and viruses, and ensure the cleanliness and temperature and humidity control of the production environment. The production isolation between the equipment groups can be achieved by building isolation walls, using isolation devices, etc., to avoid mutual interference and influence between different equipment groups. At the same time, these devices can be controlled by control components (such as PLC controllers) to adjust their speed, running time and other parameters to achieve the function of adjustable transmission devices.

[0030] Through this configuration, the entire process of health care product production can be automated and controlled, improving production efficiency and quality stability.

[0031] Furthermore, the device of the present application also includes:

[0032] The pre-treatment equipment group at least includes raw material testing equipment, extraction equipment and purification and mixing equipment assembled in local partitions;

[0033] The molding equipment at least includes a drying device, a swing granulator, a filling machine and a capsule filling device which are assembled in sequence;

[0034] The disinfection equipment group includes at least distributed assembled disinfection equipment and sterilization equipment.

[0035] Specifically, the pre-treatment equipment group, raw material inspection equipment: used to evaluate the quality of raw materials, including component analysis, microbial content detection, etc. Extraction equipment: used to extract the active ingredients in the raw materials, such as using solvent extraction, high-speed centrifugation and other technologies. Purification and mixing equipment: used to purify and mix the extracted solution for the next step of production processing. Forming equipment group, drying equipment: used to dry the processed semi-finished products and control their moisture content for subsequent forming processing. Swinging granulator: used to granulate the dried semi-finished products and adjust their parameters such as particle size and shape. Filling machine: used to put granular health products into containers and determine the filling volume and filling density. Capsule filling equipment: used to fill granular health products into capsules to form complete health products. Disinfection equipment group, disinfection equipment: used to disinfect production equipment and utensils, such as using ultraviolet rays, chemical disinfectants, etc. Sterilization equipment: used to sterilize health products, kill microorganisms in them, and ensure product quality and safety. In addition, in order to realize the function of the adjustable transmission device, it is necessary to add control components and feedback components. Control components: including PLC controller and HMI interface. PLC controller is used to control the operation of each equipment group, including adjusting parameters such as speed and running time; HMI interface is used to display the operating status and production data of the equipment, which is convenient for operators to monitor and adjust. Feedback components: including sensors and data acquisition system. Sensors are used to monitor the operating status and production data of equipment, such as equipment speed, temperature, pressure, etc.; data acquisition system is used to transmit data collected by sensors to PLC controller for control and adjustment.

[0036] Through the above configuration, the automated control of the health care product production process can be achieved, improving production efficiency and quality stability.

[0037] Furthermore, the apparatus of the present application further comprises a distributed sensor monitoring device, which is automatically activated upon the start of production and automatically shuts down upon the end of production.

[0038] Specifically, the device may also include a distributed sensing monitoring device, which can be automatically activated at the beginning of production and automatically shut down when production ends. This distributed sensing monitoring device can be used to monitor various parameters on the production line, such as the working status, temperature, pressure, etc. of the equipment, to ensure the stability of the production process and product quality. These sensors can be configured to automatically activate when the production line starts and start monitoring various parameters on the production line. When the production line ends, the sensor will automatically shut down and stop data collection and transmission. This automatic activation and shutdown function can improve production efficiency while avoiding unnecessary energy consumption. These sensors can also transmit the collected data to the control component (such as a PLC controller) in real time, so that the control component can grasp the situation of the production line in real time and adjust the production process as needed. The introduction of this distributed sensing monitoring device can help realize the visualization, controllability and intelligence of the production process, and improve the reliability and efficiency of production. The specific equipment selection and configuration can be selected and adjusted according to the actual production needs. For example, different types of sensors such as optical fiber sensors and wireless sensors can be selected to meet different production needs and monitoring parameter requirements.

[0039] like Figure 1 As shown, a control method for an adjustable transmission device for producing health care products, the method comprising:

[0040] Read the batch production work order of the target health product and determine the target production line equipment and benchmark parameter control information based on the pre-production process;

[0041] The target production line equipment and the reference parameter control information are transmitted to the intelligent central control system, and the data mapping and allocation of the sub-integration control unit are performed to determine the multi-element operation control data group, wherein the sub-integration control unit has a one-to-one correspondence with the pre-processing equipment group, the molding equipment group, and the disinfection equipment group;

[0042] Based on the multivariate operation control data group, brake production control of the target production line equipment is performed on the target production line, and time-series production data is collected and acquired based on the distributed sensor monitoring equipment simultaneously;

[0043] Feeding back the time-series production data to the intelligent central control system, combining the built-in adaptive control model to perform abnormal braking identification and tuning analysis, and determining the braking feedback adjustment parameters, wherein the braking feedback adjustment parameters are identified with the mapped target production line equipment;

[0044] The brake feedback adjustment parameters are transferred to the mapping sub-integrated control unit to perform production feedback adjustment and control of the marking production line equipment;

[0045] As the batch production work orders change, control switching instructions are generated to carry out process control management for real-time production operation control.

[0046] Specifically, reading the batch production work order of the target health product involves reading the batch production work order data from the corresponding production management system or ERP system, which includes the product formula, quantity, production date and other information. Determine the target production line equipment and benchmark parameter control information based on the pre-production process: According to the batch production work order, combined with the predetermined production process, determine the production line equipment to be used, and collect the benchmark parameter control information of these equipment (such as equipment model, specifications, operating parameters, etc.). Transmit the target production line equipment and benchmark parameter control information to the intelligent central control system: Transmit the above target production line equipment and benchmark parameter control information to the intelligent central control system through a data interface or other means to prepare for subsequent control and monitoring. Perform data mapping and allocation of sub-integration control units to determine the multi-element operation and control data group: The intelligent central control system allocates the data mapping of sub-integration control units for each equipment group according to the production isolation between the equipment groups to form a multi-element operation and control data group. Based on the multi-element operation and control data group, perform brake production control of the target production line equipment on the target production line: Perform brake production control on the target production line equipment according to the multi-element operation and control data group to ensure the stable operation of the equipment and the continuity of production. Synchronously collect and obtain time-series production data based on distributed sensor monitoring equipment: During the production process, distributed sensor monitoring equipment collects the equipment's operating status, production data and other information in real time, which will be used for subsequent data analysis and regulation. Feedback the time-series production data to the intelligent central control system, and combine it with the built-in adaptive control model to perform abnormal braking identification and tuning analysis: The intelligent central control system receives the time-series production data collected by the distributed sensor monitoring equipment, and combines it with the built-in adaptive control model to perform abnormal braking identification and tuning analysis. Determine the braking feedback adjustment parameters and identify the mapped target production line equipment: According to the analysis results of the adaptive control model, determine the parameters that need to be adjusted (brake feedback adjustment parameters), and associate these parameters with the mapped target production line equipment. Transfer the braking feedback adjustment parameters to the mapped sub-integration control unit to perform production feedback regulation of the identified production line equipment: Transfer the braking feedback adjustment parameters to the mapped sub-integration control unit through the data interface or other means, and perform production feedback regulation on the identified production line equipment. With the change of batch production work orders, control switching instructions are generated to manage the process control of real-time production operation and control: when the batch production work order is completed or reaches a specific time point, control switching instructions are generated according to preset conditions to manage the process control of real-time production operation and control. This management strategy realizes the refinement, visualization and controllability of health care product production through automation, informationization and intelligent means, which is conducive to improving production efficiency, product quality and the overall competitiveness of the enterprise.

[0047] Furthermore, an adaptive control model is constructed, the method comprising:

[0048] The adaptive control model is a three-layer fully connected network structure, including an anomaly recognition layer, a deviation measurement layer and an adaptive correction layer;

[0049] Based on the production characteristics and material balance standards of the target health product, the equipment operation and control freedom is configured, and the equipment operation and control freedom is mapped to the target production line equipment;

[0050] The mechanism of the adaptive control model is improved by taking the standard operation and control baseline as an identification reference and the equipment operation and control degrees of freedom as a control constraint. The adaptive control model has batch iterative properties.

[0051] Specifically, the adaptive control model is a three-layer fully connected network structure, including anomaly recognition layer, deviation measurement layer and adaptive correction layer: This model adopts a three-layer neural network structure, and each layer has its specific function. The anomaly recognition layer is used to identify abnormalities in the production process, the deviation measurement layer is used to measure the impact of these anomalies on the production process, and the adaptive correction layer is used to self-adjust based on this information to optimize the production process. Based on the production characteristics and material balance standards of the target health products, configure the equipment operation and control freedom: When determining the equipment operation and control freedom, it is necessary to consider the production characteristics of the target health products, such as the requirements for temperature, humidity, time and other conditions, as well as the material balance standards, that is, the proportion and formula of various raw materials. The equipment operation and control freedom is mapped to the target production line equipment: This step is to map the equipment operation and control freedom determined in the previous step to the target production line equipment. In other words, each type of equipment has its specific operation and control freedom, which needs to be determined according to the preset standards and the characteristics of the target health products. Take the standard operation and control baseline as the identification reference and the equipment operation and control freedom as the control constraint: Here, the standard operation and control baseline is used as an identification reference to compare the data in the actual production process. The degrees of freedom of equipment operation and control serve as control constraints, that is, limits that cannot be exceeded. By comparing the differences between actual production data and standard baselines, problems in the production process can be identified. Improve the mechanism of the adaptive control model: This step is to use the data from the actual production process to train and optimize the model after determining the configuration and parameters of the model, so that the model can better adapt to the actual production environment and improve the effect of control. The adaptive control model has batch iterativeness: Since there is batch iterativeness in the production process, that is, there may be slight differences in the production process of each batch of products, the adaptive control model needs to have batch iterativeness and be able to be fine-tuned according to the characteristics of each batch of products to better meet production needs. The health care product production line can be finely regulated and managed to improve production efficiency and quality stability.

[0052] Furthermore, if Figure 2 As shown, the abnormal braking identification and tuning analysis are performed to determine the braking feedback tuning parameters. The method includes:

[0053] Using time recursion as the reference coordinate axis and multiple production indicators as the evaluation coordinate axis, we build a target coordinate system;

[0054] Extracting production indicators of step-by-step production timing nodes from the standard operation control baseline, distributing them in the target coordinate system, and determining a reference coordinate system;

[0055] Based on the abnormal identification layer, the production index extraction and coordinate conversion distribution of the time series production data are performed, and the abnormal production index with excessive deviation is locked in combination with the reference coordinate system;

[0056] Transferring the abnormal production indicator to the deviation measurement layer to determine the abnormal indicator level, wherein the abnormal indicator level is marked with a control priority;

[0057] Based on the adaptive correction layer, the optimization expansion of the abnormal index level and the parameter control interaction optimization are performed to determine the braking feedback adjustment parameters.

[0058] Specifically, we use time recursion as the reference coordinate axis and multivariate production indicators as the evaluation coordinate axis to build a target coordinate system: In this step, we use time recursion as the reference coordinate axis, that is, each production indicator has a specific position in the time series. Then, we select multivariate production indicators as the evaluation coordinate axis. These indicators may include the operating status of the equipment, production efficiency, product quality, etc. The purpose of building a target coordinate system is to express various data in the production process in an intuitive way in the coordinate system. Extract the production indicators of the step-by-step production timing nodes of the standard operation and control baseline, distribute them in the target coordinate system, and determine the reference coordinate system: This step is to extract the production indicators of the step-by-step production timing nodes of the standard operation and control baseline (such as equipment operating status, production efficiency, etc.), and distribute these data in the target coordinate system. This distribution chart can be used as a benchmark for comparing actual production data with the standard baseline, so as to identify problems in the production process. Based on the abnormal identification layer, the production index extraction and coordinate transformation distribution of the time series production data are performed, and the abnormal production index with excessive deviation is locked in combination with the reference coordinate system: In this step, we extract the production index and coordinate transformation distribution of the time series production data through the abnormal identification layer, and then lock those abnormal production indicators with excessive deviation in combination with the reference coordinate system. The abnormal production index is transferred to the deviation measurement layer to determine the abnormal index level, wherein the abnormal index level is marked with the regulation priority: In this step, we transfer the locked abnormal production index to the deviation measurement layer, and determine its abnormal index level according to the degree of deviation of these indicators. This level identifies the regulation priority of these indicators, that is, which indicators need to be regulated first. Based on the adaptive correction layer, the optimization expansion and parameter control mutual influence tuning of the abnormal index level are performed to determine the braking feedback parameter adjustment: In this step, we optimize the expansion and parameter control mutual influence tuning of the abnormal index level based on the adaptive correction layer. This process is to find the optimal regulation scheme, adjust the control parameters at the lowest cost, and return the production process to normal. Finally, we determined the brake feedback adjustment parameters, which can be directly applied to the corresponding equipment to control the equipment. This can achieve the process of building a target coordinate system based on time recursion and multi-dimensional production indicators, abnormality identification and measurement, mechanism improvement of adaptive control model, and determination of brake feedback adjustment parameters.

[0059] Further, the method comprises:

[0060] Read the time-series production data, evaluate the equipment operation and control status, and determine the equipment service status;

[0061] If the equipment is in service, an equipment maintenance instruction is generated, wherein the equipment maintenance instruction is marked with an equipment number, and the transmission switching instruction is additional generation information;

[0062] Based on the equipment maintenance instruction, the production line of the maintenance equipment is slowed down and the equipment operation and maintenance management is performed;

[0063] Based on the transport switching instruction, the capacity of the equipment with the same function is allocated based on the maintenance equipment, and the production line transport adjustment information is determined;

[0064] Feedback the production line transport adjustment information to the mapping sub-integrated control unit.

[0065] Specifically, the time-series production data is read, the equipment operation and control status is evaluated, and the service status of the equipment is determined: this step involves reading the time-series production data collected during the production process, and then evaluating the operation and control status of the equipment based on these data. Through this evaluation, the service status of the equipment can be determined, that is, whether the equipment is in normal operation or has a fault and needs to be repaired. If the equipment is in service status, an equipment maintenance instruction is generated, wherein the equipment maintenance instruction is marked with the equipment number, and the conveying switching instruction is additionally generated information: if the service status of the equipment indicates that maintenance is required, then an equipment maintenance instruction is generated. This instruction will clearly identify the number of the equipment that needs to be repaired. In addition, a conveying switching instruction will also be generated, which is used to control other equipment with the same function on the production line, so that they can share the production capacity of the maintenance equipment and ensure that the production process can continue. Based on the equipment maintenance instruction, the production line production slow-down and equipment operation and maintenance management of the maintenance equipment are carried out: the equipment maintenance instruction will indicate the function of the corresponding equipment of the production line slow-down, and further equipment operation and maintenance management will be carried out. Operation and maintenance management may include checking the physical state of the equipment, adjusting the operating parameters of the equipment, etc. Based on the transport switching instruction, the capacity of the equipment with the same function as the maintenance equipment is allocated, and the production line transport adjustment information is determined: According to the transport switching instruction, we can allocate the capacity of the equipment with the same function as the maintenance equipment to ensure that other equipment can take over the work of the maintenance equipment and maintain the overall capacity of the production line. At the same time, we can also determine the production line transport adjustment information, such as adjusting the operating speed of the production line, changing the operating mode of the equipment, etc. Feedback the production line transport adjustment information to the mapping sub-integration control unit: Finally, we feed back the determined production line transport adjustment information to the corresponding sub-integration control unit so that this information can be used in subsequent production processes.

[0066] Furthermore, the process control management for real-time production operation control includes:

[0067] If a new production work order is received, identify the production time limit of the work order and determine the target production node;

[0068] Coordinate the time limit constraints of the target production node and the batch production work order, locate and insert the production time zone, and generate the control switching instruction based on the initial time zone node;

[0069] Based on the inserted production time zone, as the control switching instruction is received, process control based on the newly added production work order is performed.

[0070] Specifically, if a new production work order is received, the production time limit of the work order is identified and the target production node is determined: This step involves receiving a new production work order, and then identifying the production time limit of the work order, that is, when the work order needs to be completed. Then, we determine the target production node of the work order, that is, at which production link the work order should be completed. Coordinate the time limit constraints of the target production node and the batch production work order, locate the insertion production time zone, and generate the control switching instruction based on the initial time zone node: In this step, the time limit constraints of the new production work order need to be coordinated with the time limit constraints of the batch production work order. Then, locate an insertion production time zone, which can be a certain position in the batch production work order or a certain position outside the batch production work order. Based on this insertion production time zone, a control switching instruction based on the initial time zone node is generated. The function of this instruction is to control the time zone in which the production line is switched, so as to meet the time limit requirements of the new production work order. Based on the inserted production time zone, as the control switching instruction is received, process control based on the newly added production work order is performed: In this step, based on the inserted production time zone, as the control switching instruction is received, process control of the newly added production work order is performed. This process control includes raw material preparation, equipment adjustment, production process monitoring, etc. for the newly added production work order. It can be realized to receive the newly added production work order, coordinate the time limit constraints of batch production work orders and newly added production work orders, locate the inserted production time zone, and generate the control switching instruction. Then, according to the inserted production time zone and the received control switching instruction, process control of the newly added production work order is performed. This is conducive to improving the efficiency of the production line and product quality while meeting the production time limit requirements.

[0071] Embodiment 2

[0072] Based on the same inventive concept as the adjustable transmission method for health care product production in the above-mentioned embodiment, Figure 3 As shown, the present application provides an adjustable transmission system for the production of health products, the system comprising:

[0073] A batch production work order reading module 10, which is used to read the batch production work order of the target health product and determine the target production line equipment and benchmark parameter control information based on the pre-production process;

[0074] A multivariate operation and control data group determination module 20, which is used to transmit the target production line equipment and the reference parameter control information to the intelligent central control system, perform data mapping and allocation of the sub-integration control unit, and determine the multivariate operation and control data group, wherein the sub-integration control unit has a one-to-one correspondence with the pre-processing equipment group, the molding equipment group, and the disinfection equipment group;

[0075] A time series production data acquisition module 30, which performs brake production control of the target production line equipment on the target production line based on the multivariate operation control data group, and simultaneously collects and acquires time series production data based on distributed sensor monitoring equipment;

[0076] A braking feedback adjustment parameter determination module 40, which is used to feed back the time-series production data to the intelligent central control system, perform abnormal braking identification and tuning analysis in combination with a built-in adaptive control model, and determine braking feedback adjustment parameters, wherein the braking feedback adjustment parameters are identified with a mapped target production line equipment;

[0077] A production feedback control module 50, the production feedback control module 50 is used to transfer the brake feedback adjustment parameters to the mapping sub-integrated control unit to perform production feedback control of the identification production line equipment;

[0078] The control switching instruction generation module 60 is used to generate control switching instructions as the batch production work orders are changed, and perform process control management for real-time production operation control.

[0079] Furthermore, the system also includes:

[0080] The adaptive control model module is a three-layer fully connected network structure, including an anomaly recognition layer, a deviation measurement layer and an adaptive correction layer;

[0081] The equipment operation and control freedom configuration module configures the equipment operation and control freedom based on the production characteristics and material balance standard of the target health product, and the equipment operation and control freedom is mapped to the target production line equipment;

[0082] The mechanism improvement module is used to improve the mechanism of the adaptive control model by taking the standard operation and control baseline as an identification reference and the equipment operation and control degrees of freedom as a control constraint. The adaptive control model has batch iterative properties.

[0083] Furthermore, the system also includes:

[0084] The coordinate axis evaluation module is used to build a target coordinate system with time recursion as the reference coordinate axis and multiple production indicators as the evaluation coordinate axis;

[0085] A reference coordinate system determination module is used to extract production indicators of step-by-step production timing nodes from the standard operation control baseline, distribute them in the target coordinate system, and determine the reference coordinate system;

[0086] The abnormal production index locking module is based on the abnormal identification layer, extracts the production index of the time series production data and performs coordinate conversion distribution, and locks the abnormal production index with excessive deviation in combination with the reference coordinate system;

[0087] An abnormal indicator level determination module, used to transfer the abnormal production indicator to the deviation measurement layer, and determine the abnormal indicator level, wherein the abnormal indicator level is marked with a control priority;

[0088] The braking feedback adjustment parameter determination module is based on the adaptive correction layer, performs optimization expansion of the abnormal index level and parameter control interaction optimization, and determines the braking feedback adjustment parameters.

[0089] Furthermore, the system also includes:

[0090] A service status determination module is used to read the time-series production data, evaluate the equipment operation and control status, and determine the service status of the equipment;

[0091] The equipment maintenance instruction generating module generates an equipment maintenance instruction if the equipment is in service state, wherein the equipment maintenance instruction is marked with an equipment number, and the transmission switching instruction is additional generation information;

[0092] The slow-down operation and maintenance management module is used to perform slow-down of production line and equipment operation and maintenance management of the maintenance equipment based on the equipment maintenance instruction;

[0093] The production line conveyance adjustment information determination module is used to allocate the production capacity of the equipment with the same function based on the maintenance equipment based on the conveyance switching instruction, and determine the production line conveyance adjustment information;

[0094] The subset control unit feedback module is used to feed back the production line delivery adjustment information to the mapping sub-integration control unit.

[0095] Furthermore, the system also includes:

[0096] The target production node determination module is to identify the production time limit of the work order and determine the target production node when receiving a new production work order;

[0097] A control switching instruction generation module is used to coordinate the time limit constraints of the target production node and the batch production work order, locate and insert the production time zone, and generate the control switching instruction based on the initial time zone node;

[0098] The newly added production work order process control module is based on the inserted production time zone, and performs process control based on the newly added production work order as the control switching instruction is received.

[0099] Through the detailed description of the control method of the adjustable transmission device for the production of health products mentioned above, the technical personnel in this field can clearly understand the adjustable transmission device for the production of health products in this embodiment. For the device disclosed in the embodiment, since it corresponds to the device disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0100] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A control method for an adjustable transmission device for the production of health products, characterized in that: The method comprises: Read the batch production work order of the target health product and determine the target production line equipment and benchmark parameter control information based on the pre-production process; The target production line equipment and the reference parameter control information are transmitted to the intelligent central control system, and the data mapping and allocation of the sub-integration control unit are performed to determine the multi-element operation control data group, wherein the sub-integration control unit has a one-to-one correspondence with the pre-processing equipment group, the molding equipment group, and the disinfection equipment group; Based on the multivariate operation control data group, brake production control of the target production line equipment is performed on the target production line, and time-series production data is collected and acquired based on the distributed sensor monitoring equipment simultaneously; Feeding back the time-series production data to the intelligent central control system, combining the built-in adaptive control model to perform abnormal braking identification and tuning analysis, and determining the braking feedback adjustment parameters, wherein the braking feedback adjustment parameters are identified with the mapped target production line equipment; The brake feedback adjustment parameters are transferred to the mapping sub-integrated control unit to perform production feedback adjustment and control of the marking production line equipment; As the batch production work orders are changed, control switching instructions are generated to perform process control management for real-time production operation control; Building an adaptive control model, the method includes: The adaptive control model is a three-layer fully connected network structure, including an anomaly recognition layer, a deviation measurement layer and an adaptive correction layer; Based on the production characteristics and material balance standards of the target health product, the equipment operation and control freedom is configured, and the equipment operation and control freedom is mapped to the target production line equipment; Taking the standard operation and control baseline as the identification reference and the equipment operation and control degrees of freedom as the control constraint, the mechanism of the adaptive control model is improved, and the adaptive control model has batch iterative properties; The abnormal braking identification and tuning analysis are performed to determine the braking feedback tuning parameters, and the method includes: Using time recursion as the reference coordinate axis and multiple production indicators as the evaluation coordinate axis, we build a target coordinate system; Extracting production indicators of step-by-step production timing nodes from the standard operation control baseline, distributing them in the target coordinate system, and determining a reference coordinate system; Based on the abnormal identification layer, the production index extraction and coordinate conversion distribution of the time series production data are performed, and the abnormal production index with excessive deviation is locked in combination with the reference coordinate system; Transferring the abnormal production indicator to the deviation measurement layer to determine the abnormal indicator level, wherein the abnormal indicator level is marked with a control priority; Based on the adaptive correction layer, the optimization expansion of the abnormal index level and the parameter control interaction optimization are performed to determine the braking feedback adjustment parameters.

2. The method according to claim 1, characterized in that The method includes: Read the time-series production data, evaluate the equipment operation and control status, and determine the equipment service status; If the equipment is in service, an equipment maintenance instruction is generated, wherein the equipment maintenance instruction is marked with an equipment number, and the transmission switching instruction is additional generation information; Based on the equipment maintenance instruction, the production line of the maintenance equipment is slowed down and the equipment operation and maintenance management is performed; Based on the transport switching instruction, the capacity of the equipment with the same function is allocated based on the maintenance equipment, and the production line transport adjustment information is determined; Feedback the production line transport adjustment information to the mapping sub-integrated control unit.

3. The method according to claim 1, characterized in that The process control management for real-time production operation control comprises: If a new production work order is received, identify the production time limit of the work order and determine the target production node; Coordinate the time limit constraints of the target production node and the batch production work order, locate and insert the production time zone, and generate the control switching instruction based on the initial time zone node; Based on the inserted production time zone, as the control switching instruction is received, process control based on the newly added production work order is performed.

4. A control system for an adjustable transmission device for the production of health products, characterized in that: The system is used to perform any one of the control methods of the adjustable transmission device for health care product production described in 1-3, and comprises: A batch production work order reading module, which is used to read the batch production work order of the target health product and determine the target production line equipment and benchmark parameter control information based on the pre-production process; A multivariate operation and control data group determination module, which is used to transmit the target production line equipment and the reference parameter control information to the intelligent central control system, perform data mapping and allocation of the sub-integration control unit, and determine the multivariate operation and control data group, wherein the sub-integration control unit has a one-to-one correspondence with the pre-processing equipment group, the molding equipment group, and the disinfection equipment group; A time series production data acquisition module, which performs brake production control of the target production line equipment on the target production line based on the multivariate operation control data group, and simultaneously collects and acquires time series production data based on distributed sensor monitoring equipment; A braking feedback adjustment parameter determination module, which is used to feed back the time-series production data to the intelligent central control system, perform abnormal braking identification and tuning analysis in combination with a built-in adaptive control model, and determine braking feedback adjustment parameters, wherein the braking feedback adjustment parameters are identified with a mapped target production line equipment; A production feedback control module, which is used to transfer the brake feedback adjustment parameters to the mapping sub-integrated control unit to perform production feedback control of the identification production line equipment; A control switching instruction generation module is used to generate control switching instructions as the batch production work orders are changed, so as to perform process control management for real-time production operation control.

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