Collection and control integrated Internet of Things management method and system

Abstract

The invention belongs to the technical field of intelligent manufacturing management systems, and particularly discloses a collection and control integrated Internet of Things management method and system, and the method comprises the following steps: deploying a collection soft gateway at an edge side, carrying out the connection with a field device through an industrial standard protocol, collecting operation data, carrying out the preprocessing, and uploading the data to an Internet of Things platform; standard object models are established for the machine positions and the stations on the Internet of Things platform, the object models analyze the preprocessed operation data, and analysis results are sent to the application system; the application system generates a corresponding control instruction based on the analysis result and issues the control instruction to the acquisition soft gateway; and the acquisition soft gateway executes the control instruction, controls equipment operation, completes control feedback, and uploads an execution result and newly acquired data to the Internet of Things platform again. By adopting the technical scheme, an acquisition and control integrated function is integrated, and closed-loop management of data acquisition, equipment modeling and control instructions is realized through an Internet of Things platform at the cloud end.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent manufacturing management systems and relates to a procurement and control integrated Internet of Things management method and system. Background Art

[0002] With the rapid development of intelligent manufacturing, manufacturing plants have an increasing demand for real-time monitoring and automatic control of equipment. Especially in high-precision and high-efficiency production scenarios such as automobile manufacturing, it is necessary to collect and monitor the operating status, process parameters and environmental data of production equipment in real time, and make control decisions in real time according to changes during the production process, so as to improve production efficiency, ensure product quality and reduce equipment downtime.

[0003] In order to achieve this goal, a new trend of acquisition and control integration is proposed. Acquisition and control integration refers to the integration of data acquisition and control decision-making functions in the same system, which not only enables real-time acquisition of equipment data, but also enables the issuance of control instructions based on data analysis results to achieve rapid response and efficient control.

[0004] With the in-depth development of intelligent manufacturing, production equipment and control systems in factories need to be able to be flexibly deployed and expanded according to demand. Traditional PLC control systems mostly use direct connection mode, and data acquisition and control signal transmission rely on a fixed network architecture, which cannot achieve flexible equipment management and space definition.

[0005] In existing PLC control systems, the data acquisition and control architecture of "device direct connection" is usually adopted. Specifically:

[0006] Directly connected device control mode:

[0007] The PLC control system is directly connected to the equipment to complete the data collection and control command issuance of a single device. This model can meet basic automation needs in simple scenarios, but in complex scenarios, it cannot flexibly respond to multi-device management needs, nor does it have flexible equipment definition and management capabilities. The control system needs to integrate too much control logic with the PLC, which is intertwined with the business logic, increasing the complexity of the system.

[0008] Lack of modeling support for workstations and machine positions:

[0009] Traditional PLC control systems mainly manage single functions of equipment, and it is difficult to achieve management modeling of equipment locations (such as workstations and machine positions). Systems without the concept of workstations and machine positions are limited in scalability and flexibility, and it is difficult to meet actual production needs. For example, in the flexible production line of automobile manufacturing, the operating space location (workstation, machine position) of the production equipment is directly related to the operation of the equipment. In the traditional model, it is impossible to combine equipment management with the actual space location, which is not conducive to the optimized management of the intelligent production line.

[0010] The data transmission link is long and there is a lack of unified data management:

[0011] In the traditional PLC architecture, data transmission and control signals need to go through multiple systems, and the protocols and data formats of different devices are not unified, making it difficult to achieve unified cloud management. This model makes the system difficult to expand and complex to maintain.

[0012] In this case, traditional PLC control systems are difficult to support the multi-device and spatial location management requirements in complex production scenarios. Traditional direct connection architectures also do not support the concept of physical models in the IoT platform, and the flexibility and scalability of data collection and management are poor. Summary of the invention

[0013] The purpose of the present invention is to provide a method and system for managing the Internet of Things with integrated acquisition and control, so as to realize closed-loop management of data acquisition, equipment modeling and control instructions.

[0014] In order to achieve the above object, the basic scheme of the present invention is: a method for managing the Internet of Things with integrated procurement and control, comprising the following steps:

[0015] Deploy a data collection soft gateway on the edge side to connect to field equipment through industrial standard protocols, collect operating data, and upload it to the IoT platform after pre-processing;

[0016] A standardized physical model is established for the machine and workstations on the IoT platform. The physical model analyzes the pre-processed operation data and sends the analysis results to the application system.

[0017] Based on the analysis results, the application system generates corresponding control instructions and sends them to the acquisition soft gateway;

[0018] The acquisition soft gateway executes control instructions, controls device operations, completes control feedback, and uploads the execution results and newly collected data to the IoT platform again.

[0019] The working principle and beneficial effects of this basic solution are as follows: This technical solution realizes real-time collection and preliminary processing of the equipment operation status by deploying a collection soft gateway on the edge side. After the data is uploaded to the cloud platform, the equipment can be uniformly managed based on the object model.

[0020] By synchronously modeling workstations and machine positions on the IoT platform, the equipment information can correspond to the actual production space, thus achieving unified management and control of equipment and space. This not only improves the flexibility of the system, but also improves the accuracy of equipment management.

[0021] The concept of object model in the IoT platform makes it possible to standardize the data of different types of equipment, and supports multi-application integration through the northbound interface, meeting the multi-dimensional management needs of equipment data at the production site. This system architecture integrates the integrated acquisition and control functions, and realizes closed-loop management of data acquisition, equipment modeling and control instructions through the cloud IoT platform.

[0022] Furthermore, the edge-side acquisition soft gateway supports the access and data collection of multiple devices, connects with field devices through industrial standard protocols, and collects operation data and sensor data;

[0023] The edge-side collection soft gateway includes data collection access section, data processing and analysis section, and data forwarding and storage section;

[0024] The data acquisition access module supports multiple device access and data acquisition. The data acquisition access module supports various industrial protocols by setting plug-ins, including Modbus, OPC UA, EtherNet / IP, IEC104, BACnet, and Siemens PLC.

[0025] The data acquisition access section includes constant declaration, protocol layer development, protocol stack analysis, point processing, driver layer development and plug-in setting files. Among them, the protocol layer development realizes the assembly and unpacking of the docking device protocol package, the protocol stack analysis includes the protocol stack generating read and write request messages, the analysis and data processing of the received read and write response messages, the point processing is to match the specific register type and register starting address, and the driver layer development is the specific implementation of the function;

[0026] The data processing and analysis section performs real-time data filtering and format conversion on the collected data, and executes basic control instructions, including performing various data processing based on the data collection situation, filtering obvious data noise and dirty data based on thresholds, or not pushing the collected data with the same value, converting the unit of the value read from the register, and splicing the data characters. In the field of vehicle manufacturing, after reading the VI N number, it links the collection of related data and the content of the queue distribution;

[0027] The data forwarding and storage module realizes data transmission with the IoT platform through MQTT.

[0028] By deploying a collection soft gateway on the edge side, it can support the access and data collection of multiple devices, thereby achieving flexible expansion of the system and meeting the needs of complex production scenarios.

[0029] Furthermore, a standardized physical model is established for the machine position and workstation on the IoT platform, and the physical model includes a standard device physical model for the equipment and a space physical model for the space;

[0030] The device object model includes at least three dimensions: attributes, events and services. Attributes describe the status and information of the device. Services are methods or functions provided by the device to the outside. Input and output parameters can be set in the call. Input parameters are parameters when the service is executed, and output parameters are the results after the service is executed. Services can implement more complex business logic through one instruction and perform a specific task. Events are information, alarms or faults actively reported by the device.

[0031] The spatial object model includes modeling the space, restoring the real workshop, production line, machine position, and workstation according to the display situation, and performing corresponding state modeling for the actual situation of the machine position and workstation, including standard attributes "ready positive output of the previous workstation", "ready positive output returned to the previous workstation", "ready positive output to the next workstation", "ready positive input from the vacant position of the next workstation", "arrival signal", "fault signal", and other customized states.

[0032] By realizing modeling of machine positions and workstations on the Internet of Things platform, the present invention can more closely integrate equipment information with actual production space, thereby improving the operating efficiency and flexibility of the equipment.

[0033] Furthermore, the physical model analyzes the preprocessed operation data and sends the analysis results to the application system in the following steps:

[0034] Analyze and evaluate the data of the physical model. The evaluation of the physical model includes the fitness score and effectiveness score;

[0035] The fitness score is a comparison of the number of attributes contained in the physical model and the number of attributes contained in the physical model instance, including:

[0036] The industry object model contains x attributes and generates a total of y instances. The object model after the instantiation is compared with the attributes, events, and services of the standard industry object model. The fields of the instantiated object model completely match, and the score is 100; the fitness score = the number of differences divided by the total number of attributes, events, and services * 100%. The average score of all object models is the score of the industry standard object model;

[0037] The validity score is whether the attribute has historical data uploaded;

[0038] Effectiveness score = (number of attributes + events + services with historical data) / (total number of attributes + events + services). The average of the scores of all object model instances is the score of the industry standard object model.

[0039] Centrally manage data, conduct data analysis and model building, and implement the issuance and management of instructions.

[0040] Furthermore, the application system generates corresponding control instructions based on the analysis results and sends them to the acquisition soft gateway. The specific method is as follows:

[0041] The object model has three types of control instruction delivery modes: synchronous service call, asynchronous service call and property setting;

[0042] The object model is obtained through abstraction and modeling based on the real equipment. The application system generates corresponding control instructions based on the "attributes" and "services" defined in the object model, and issues commands through the topic ic provided by the Internet of Things platform.

[0043] Generate control instructions based on business needs to support real-time monitoring and data visualization.

[0044] The present invention also provides a collection and control integrated Internet of Things management system based on the method of the present invention, comprising a collection soft gateway, an Internet of Things platform and an application system;

[0045] The acquisition soft gateway collects data from the on-site equipment and performs data preprocessing;

[0046] The IoT platform receives the pre-processed data, performs data analysis, and implements the issuance and management of instructions;

[0047] The application system generates control instructions according to business needs and supports real-time monitoring and data visualization.

[0048] This system uses various gateways and platforms to associate the spatial location and function of equipment, allowing enterprises to more effectively schedule and manage production resources, thereby improving equipment utilization and production efficiency and optimizing production processes.

[0049] Further, the acquisition soft gateway includes a data acquisition module, an edge computing module and a communication module;

[0050] The data acquisition module is connected to the field equipment through an industrial standard protocol to collect operation data;

[0051] The edge computing module processes the collected data in real time and executes basic control instructions;

[0052] The communication module transmits data with the Internet of Things platform via MQTT.

[0053] The acquisition soft gateway enables the system to support the access and data acquisition of various types of equipment, thus overcoming the lack of flexibility caused by the direct connection mode of equipment in traditional PLC control systems. The flexibility of this architecture allows the production line to be quickly adjusted and expanded according to demand, meeting the requirements of multi-equipment collaboration and improving overall production efficiency.

[0054] Furthermore, the Internet of Things platform includes a data management module, a physical model module and a control instruction issuing module;

[0055] The data management module receives data from the edge soft gateway and performs unified storage and management;

[0056] The physical model module models the equipment, realizes the unified management of equipment, workstations and machine positions, and supports multi-dimensional data analysis;

[0057] The control instruction sending module sends the control instruction generated by the application system to the edge soft gateway.

[0058] Modeling workstations and machine positions on the IoT platform solves the problem of lack of space management capabilities in traditional technologies. By associating the spatial location of equipment with its function, enterprises can more effectively dispatch and manage production resources, thereby improving equipment utilization and production efficiency and optimizing production processes.

[0059] Further, the application system includes a user interface and a control logic module;

[0060] The user interface provides a user-friendly interactive interface to display device status and data analysis results;

[0061] The control logic module generates corresponding control instructions according to the real-time data analysis results and sends them to the cloud platform.

[0062] The application system has a simple structure and is easy to use.

[0063] Furthermore, it also includes a local area network or a dedicated network, which is arranged between the collection soft gateway and the Internet of Things platform.

[0064] Establish a local area network (LAN) or private network between edge devices and the cloud to reduce dependence on public networks and improve the security and stability of data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 It is a flow chart of the procurement and control integrated Internet of Things management method of the present invention. DETAILED DESCRIPTION

[0066] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0067] In the description of the present invention, it is necessary to understand that the terms "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0068] In the description of the present invention, unless otherwise specified and limited, it should be noted that the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a mechanical connection or an electrical connection, or it can be the internal connection between two components. It can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to the specific circumstances.

[0069] The present invention discloses a collection and control integrated IoT management method, which combines the edge collection soft gateway with the cloud platform, performs unified modeling management of equipment, workstations and machine positions based on the object model, realizes the correspondence between equipment management and spatial location, thereby improving the flexibility and scalability of the system, and adapting to the collaborative management needs of multiple devices and multiple spatial locations in intelligent manufacturing scenarios. Figure 1 As shown, the acquisition and control integrated Internet of Things management method includes the following steps:

[0070] Deploy an edge-side collection soft gateway (Edge Gateway), which is electrically connected to field equipment through industrial standard protocols, collects operation data, sensor data and other information, and uploads it to the IoT platform after pre-processing (such as data filtering, format conversion, etc.) (this process uses a secure transmission protocol to ensure data integrity and security). By deploying an edge-side collection soft gateway, it can support the access and data collection of multiple devices, thereby achieving flexible expansion of the system and meeting the needs of complex production scenarios.

[0071] A standardized physical model is established for machine positions and workstations on an Internet of Things platform, and the physical model analyzes the preprocessed operation data and sends the analysis results to an application system. By implementing modeling of machine positions and workstations on the Internet of Things platform, the present invention can more closely integrate equipment information with actual production space, thereby improving the operation efficiency and flexibility of the equipment.

[0072] The application system generates corresponding control instructions based on the analysis results and sends them to the acquisition soft gateway;

[0073] The acquisition soft gateway executes control instructions, controls the operation of devices, completes control feedback, and uploads the execution results and newly collected data to the Internet of Things platform again. The present invention realizes the standardization of object models on the cloud platform (Internet of Things platform), so that the data of different devices can be uniformly managed on the same platform, reducing the difficulty of data integration and promoting the interconnection of multiple systems.

[0074] In a preferred solution of the present invention, the edge-side acquisition soft gateway supports the access and data acquisition of multiple devices, connects with field devices through industrial standard protocols, and collects operation data and sensor data;

[0075] The edge-side collection soft gateway includes data collection access section, data processing and analysis section, and data forwarding and storage section;

[0076] The data acquisition access module supports multiple device access and data acquisition. The data acquisition access module supports various industrial protocols by setting plug-ins, including Modbus, OPC UA, EtherNet / IP, IEC104, BACnet, and Siemens PLC.

[0077] The data acquisition access section includes constant declaration, protocol layer development, protocol stack analysis, point processing, driver layer development and plug-in setting files. Among them, the protocol layer development realizes the assembly and unpacking of the docking device protocol package, the protocol stack analysis includes the protocol stack generating read and write request messages, the analysis and data processing of the received read and write response messages, the point processing is to match the specific register type and register starting address, and the driver layer development is the specific implementation of the function;

[0078] The data processing and analysis section performs real-time data filtering and format conversion on the collected data, and executes basic control instructions, including performing various data processing based on the data collection situation, filtering obvious data noise and dirty data based on thresholds, or not pushing the collected data with the same value, converting the unit of the value read from the register, and splicing the data characters. In the field of vehicle manufacturing, after reading the VI N number, it links the collection of related data and the content of the queue distribution;

[0079] The data forwarding and storage module realizes data transmission with the IoT platform through MQTT.

[0080] In a preferred solution of the present invention, a standardized physical model is established for the machine position and the workstation on the Internet of Things platform, and the physical model includes a device physical model for the equipment standard and a space physical model for the space;

[0081] The device object model includes at least three dimensions: attributes, events, and services. Attributes describe the status and information of the device. Services are methods or functions provided by the device to the outside world. Input and output parameters can be set during the call. Input parameters are parameters when the service is executed, and output parameters are the results after the service is executed. Services can implement more complex business logic through one instruction and perform a specific task. Events are information, alarms, or faults that the device actively reports.

[0082] The spatial object model includes modeling the space, restoring the real workshop, production line, machine position, and workstation according to the display situation, and modeling the corresponding status of the actual situation of the machine position and workstation, including standard attributes "ready positive output of the previous workstation", "ready positive output returned to the previous workstation", "ready positive output to the next workstation", "ready positive input from the empty position of the next workstation", "arrival signal", "fault signal", and other customized status.

[0083] In a preferred embodiment of the present invention, the physical model analyzes the preprocessed operation data and sends the analysis results to the application system in the following steps:

[0084] Analyze and evaluate the data of the physical model. The evaluation of the physical model includes the fitness score and effectiveness score;

[0085] The fitness score is a comparison of the number of attributes contained in the physical model and the number of attributes contained in the physical model instance, including:

[0086] The industry object model contains x attributes and generates a total of y instances. The object model after the instantiation is compared with the attributes, events, and services of the standard industry object model. The fields of the instantiated object model completely match, and the score is 100; the fitness score = the number of differences divided by the total number of attributes, events, and services * 100%. The average score of all object models is the score of the industry standard object model;

[0087] The validity score is whether the attribute has historical data uploaded;

[0088] Effectiveness score = (number of attributes + events + services with historical data) / (total number of attributes + events + services). The average of the scores of all object model instances is the score of the industry standard object model.

[0089] In a preferred solution of the present invention, the application system generates corresponding control instructions based on the analysis results and sends them to the acquisition soft gateway. The specific method is:

[0090] The object model has three types of control instruction delivery modes: synchronous service call, asynchronous service call and property setting;

[0091] The object model is obtained through abstraction and modeling based on the real equipment. The application system generates corresponding control instructions based on the "attributes" and "services" defined in the object model, and issues commands through the topic ic provided by the Internet of Things platform.

[0092] The present invention improves the response speed and flexibility of the system by integrating the functions of data collection and control instruction issuance into the same system architecture. Preliminary data processing is performed on the edge side to reduce the amount of data transmission, improve the data response speed, and ensure that basic control functions can still be achieved under poor network conditions.

[0093] The unified modeling of equipment, workstations, and machine positions in the cloud platform improves the flexibility and scalability of equipment management and facilitates multi-dimensional data analysis and monitoring. The standardized communication protocol MQTT is used to realize data exchange between various components, which improves the compatibility and scalability of the system.

[0094] Taking an automobile manufacturing plant as an example, the system connects to the equipment (such as robots, sensors, etc.) at each workstation through a collection soft gateway to collect production data in real time. In the cloud IoT platform, the equipment at each workstation is modeled and the equipment operating status is monitored in real time. Through the application system, the dispatcher can generate real-time control instructions, optimize the production process, and improve production efficiency.

[0095] The present invention also provides an integrated acquisition and control Internet of Things management system based on the method of the present invention, comprising an acquisition soft gateway, an Internet of Things platform and an application system.

[0096] The acquisition soft gateway collects data from field devices (such as PLCs, sensors, etc.) and performs data preprocessing. The acquisition soft gateway is deployed on the edge side, allowing the system to support the access and data acquisition of various types of devices, thereby overcoming the lack of flexibility caused by the direct device connection mode in traditional PLC control systems. The flexibility of this architecture allows the production line to be quickly adjusted and expanded according to demand, meeting the requirements of multi-device collaborative work, improving overall production efficiency, and improving the flexibility and scalability of the system.

[0097] The Internet of Things platform receives the pre-processed data, performs data analysis, and implements the issuance and management of instructions. The present invention implements the modeling of workstations and machine positions on the Internet of Things platform, solving the defect of lack of space management capabilities in traditional technologies. By associating the spatial location of equipment with its function, enterprises can more effectively dispatch and manage production resources, thereby improving the utilization rate and production efficiency of equipment, optimizing the production process, and realizing dynamic management of workstations and machine positions.

[0098] The application system generates control instructions based on business needs and supports real-time monitoring and data visualization.

[0099] In a preferred embodiment of the present invention, the acquisition soft gateway includes a data acquisition module, an edge computing module and a communication module. The data acquisition module is connected to the field equipment through an industrial standard protocol (such as MODBUS, CAN, etc.) to collect operation data.

[0100] The edge computing module processes the collected data in real time and executes basic control instructions. The communication module transmits data with the IoT platform through MQTT.

[0101] By preliminarily processing the collected data in the edge computing module, the present invention significantly improves the data transmission and response speed, overcoming the problem of low closed-loop response speed between data collection and control instruction execution in the prior art. This enhanced real-time performance enables rapid response to abnormal situations in the production process, thereby reducing production risks, improving equipment reliability, and improving the real-time performance of data processing and control instructions.

[0102] Preferably, industrial edge computing devices (hard gateways) with data processing capabilities can be used. These devices can directly connect to devices compatible with multiple industrial protocols (such as PLCs, sensors), thereby realizing data collection and preliminary processing functions.

[0103] In a preferred embodiment of the present invention, the Internet of Things platform includes a data management module, a physical model module, and a control instruction issuing module. The data management module receives data from the edge soft gateway and performs unified storage and management. The Internet of Things platform can adopt different cloud service architectures, for example, using a hybrid cloud or multi-cloud environment to handle data storage and computing. By distributing some data processing and analysis functions between local private clouds and public clouds, enterprises can flexibly adjust resources according to needs to ensure security in terms of data privacy and compliance.

[0104] The physical model module models the equipment, realizes the unified management of equipment, workstations, and machine positions, and supports multi-dimensional data analysis. The control instruction delivery module delivers the control instructions generated by the application system to the edge soft gateway.

[0105] In a preferred embodiment of the present invention, the application system includes a user interface and a control logic module. The user interface provides a user-friendly interactive interface to display device status and data analysis results. The control logic module generates corresponding control instructions based on real-time data analysis results and sends them to the cloud platform.

[0106] In a preferred embodiment of the present invention, the integrated acquisition and control Internet of Things management system further includes a local area network (LAN) or a dedicated network, which is arranged between the acquisition soft gateway and the Internet of Things platform. This can reduce the dependence on the public network and improve the security and stability of data transmission. This method is particularly suitable for factories with unstable network environments.

[0107] The edge computing capability of the present invention enables the system to perform basic control and management functions even in the case of poor network conditions, overcoming the high dependence of traditional systems on the network. Such a design significantly improves the stability of the production line, ensures the continuity of production, reduces the risk of production stagnation caused by network problems, and enhances the stability and reliability of the system.

[0108] The workstation and machine station management of the present invention enables enterprises to reasonably dispatch and allocate production resources according to the real-time data analysis results. By optimizing the production process, enterprises can achieve more efficient production scheduling, thereby reducing production costs, improving product quality and market competitiveness, and optimizing production resource allocation.

[0109] The technical solution of the present invention can significantly improve the flexibility, real-time performance, uniformity and stability of equipment management in intelligent manufacturing scenarios by effectively solving the defects of the prior art, bringing significant economic benefits and improvement of management efficiency to enterprises, and promoting the further development of intelligent manufacturing technology.

[0110] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0111] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

Claims

1. A method for managing the Internet of Things with integrated procurement and control, characterized in that: The steps include: Deploy a data collection soft gateway on the edge side to connect to field equipment through industrial standard protocols, collect operating data, and upload it to the IoT platform after pre-processing; A standardized physical model is established for the machine and workstations on the IoT platform. The physical model analyzes the pre-processed operation data and sends the analysis results to the application system. Based on the analysis results, the application system generates corresponding control instructions and sends them to the acquisition soft gateway; The acquisition soft gateway executes control instructions, controls device operations, completes control feedback, and uploads the execution results and newly collected data to the IoT platform again.

2. The acquisition and control integrated Internet of Things management method according to claim 1, characterized in that: The edge-side acquisition soft gateway supports the access and data acquisition of multiple devices, connects with field devices through industrial standard protocols, and collects operation data and sensor data; The edge-side collection soft gateway includes data collection access section, data processing and analysis section, and data forwarding and storage section; The data acquisition access module supports multiple device access and data acquisition. The data acquisition access module supports various industrial protocols by setting plug-ins, including Modbus, OPC UA, EtherNet / IP, IEC104, BACnet, and Siemens PLC. The data acquisition access section includes constant declaration, protocol layer development, protocol stack analysis, point processing, driver layer development and plug-in setting files. Among them, the protocol layer development realizes the assembly and unpacking of the docking device protocol package, the protocol stack analysis includes the protocol stack generating read and write request messages, the analysis and data processing of the received read and write response messages, the point processing is to match the specific register type and register starting address, and the driver layer development is the specific implementation of the function; The data processing and analysis section performs real-time data filtering and format conversion on the collected data, and executes basic control instructions, including performing various data processing based on the data collection situation, filtering obvious data noise and dirty data based on thresholds, or not pushing the collected data with the same value, converting the units of the values ​​read from the register, and splicing the data characters. In the field of vehicle manufacturing, after reading the VIN number, it links the collection of related data and the queue delivery content; The data forwarding and storage module realizes data transmission with the IoT platform through MQTT.

3. The acquisition and control integrated Internet of Things management method according to claim 1, characterized in that: Establish standardized physical models for machine positions and workstations on the IoT platform. The physical models include standard equipment physical models for equipment and space physical models for space. The device object model includes at least three dimensions: attributes, events, and services. Attributes describe the status and information of the device. A service is a method or function provided by a device to the outside world. Input and output parameters can be set during the call. Input parameters are the parameters when the service is executed, and output parameters are the results after the service is executed. A service can implement more complex business logic through one instruction and perform a specific task. An event is information, alarm or fault reported actively by the device. The spatial object model includes modeling the space, restoring the real workshop, production line, machine position, and work station according to the display situation, and performing corresponding state modeling for the actual situation of the machine position and work station, including standard attributes "ready positive output of the previous work station", "ready positive output returned to the previous work station", "ready positive output to the next work station", "ready positive input from the empty position of the next work station", "arrival signal", "fault signal", and other customized states.

4. The acquisition and control integrated Internet of Things management method according to claim 1, characterized in that: The physical model analyzes the preprocessed operation data and sends the analysis results to the application system in the following steps: Analyze and evaluate the data of the physical model. The evaluation of the physical model includes the fitness score and effectiveness score; The fitness score is a comparison of the number of attributes contained in the physical model and the number of attributes contained in the physical model instance, including: The industry object model contains x attributes and generates a total of y instances. The object model after the instantiation is compared with the attributes, events, and services of the standard industry object model. The fields of the instantiated object model completely match, and the score is 100; the fitness score = the number of differences divided by the total number of attributes, events, and services * 100%. The average score of all object models is the score of the industry standard object model; The validity score is whether the attribute has historical data uploaded; Effectiveness score = (number of attributes + events + services with historical data) / (total number of attributes + events + services). The average of the scores of all object model instances is the score of the industry standard object model.

5. The acquisition and control integrated Internet of Things management method according to claim 1, characterized in that: Based on the analysis results, the application system generates corresponding control instructions and sends them to the acquisition soft gateway. The specific method is as follows: The object model has three types of control instruction delivery modes: synchronous service call, asynchronous service call and property setting; The object model is obtained through abstraction and modeling based on the real equipment. The application system generates corresponding control instructions based on the "attributes" and "services" defined in the object model, and issues commands through the topic provided by the Internet of Things platform.

6. A procurement and control integrated Internet of Things management system based on the method according to any one of claims 1 to 5, characterized in that: Including acquisition soft gateway, IoT platform and application system; The acquisition soft gateway collects data from the on-site equipment and performs data preprocessing; The IoT platform receives the pre-processed data, performs data analysis, and implements the issuance and management of instructions; The application system generates control instructions according to business needs and supports real-time monitoring and data visualization.

7. The procurement and control integrated Internet of Things management system according to claim 6, characterized in that: The acquisition soft gateway includes a data acquisition module, an edge computing module and a communication module; The data acquisition module is connected to the field equipment through an industrial standard protocol to collect operation data; The edge computing module processes the collected data in real time and executes basic control instructions; The communication module transmits data with the Internet of Things platform via MQTT.

8. The procurement and control integrated Internet of Things management system according to claim 6, characterized in that: The Internet of Things platform includes a data management module, a physical model module and a control instruction issuing module; The data management module receives data from the edge soft gateway and performs unified storage and management; The physical model module models the equipment, realizes the unified management of equipment, workstations and machine positions, and supports multi-dimensional data analysis; The control instruction sending module sends the control instruction generated by the application system to the edge soft gateway.

9. The procurement and control integrated Internet of Things management system according to claim 6, characterized in that: The application system includes a user interface and a control logic module; The user interface provides a user-friendly interactive interface to display device status and data analysis results; The control logic module generates corresponding control instructions according to the real-time data analysis results and sends them to the cloud platform.

10. The procurement and control integrated Internet of Things management system according to claim 6, characterized in that: It also includes a local area network or a private network, which is arranged between the acquisition soft gateway and the Internet of Things platform.

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