A cloud management Internet of Things system and management method for smart factories

Abstract

The present application discloses a cloud management Internet of Things system and management method for a smart factory, wherein a user platform processes first attention information to generate a first control instruction; a service platform forwards the first attention information and sends it to the user platform; a management platform processes production-related information to generate the first attention information and generates a second control instruction; a sensor network platform is used to forward the production-related information to the management platform; an object platform controls the production line to perform intelligent production according to the first control instruction acquired and sequentially forwarded by the service platform, the management platform and the sensor network platform and / or the second control instruction forwarded by the sensor network platform, and the object platform is also used to receive the production-related information and send it to the management platform and the service platform, thereby generating the first control instruction and the second control instruction, thereby realizing a smart factory management system that integrates information management of facilities and equipment, intelligent production management, and information management of human resources.

Description

Technical Field

[0001] The present application relates to the field of smart factories, and in particular to a cloud management Internet of Things system and management method for smart factories. Background Art

[0002] The Industrial Internet of Things is an Internet of Things applied in the industrial field. It is an Internet of Things in which industrial information runs on smart devices. The Industrial Internet of Things includes the Intelligent Manufacturing Industrial Internet of Things, the Smart Factory Industrial Internet of Things and the Cloud Manufacturing Industrial Internet of Things.

[0003] At present, the society's demand for intelligence, automation and information technology is constantly increasing, the domestic and international markets have increased demand for products, and the product manufacturing cycle requirements are also high. However, the construction of smart factories has problems such as the lack of an overall construction system framework, fragmented project construction, low project automation management and information technology, and a lack of a comprehensive application management system for smart factories that integrates facilities, equipment, production, management, human resources and professionalism. Summary of the invention

[0004] The main purpose of this application is to provide a cloud management Internet of Things system and management method for smart factories, aiming to solve the technical problems of the existing smart factory construction, such as the lack of an overall construction system architecture, fragmented and unsystematic construction of various projects, low levels of automation management and informatization of various projects, and lack of a comprehensive application management system for smart factories that integrates facilities and equipment, production, management, human resources and professionalism.

[0005] In order to solve the above technical problems, the present invention proposes a cloud management Internet of Things system for a smart factory, including: a cloud computing platform, a sensor network platform and an object platform, the cloud computing platform includes a user platform, a service platform, and a management platform that are communicatively connected in sequence, and the sensor network platform is communicatively connected to the management platform and the object platform respectively; the user platform is used to obtain and process first attention information, obtain decision-making auxiliary information and send it to the first user, obtain first decision information and generate a first control instruction based on the first decision information, wherein the first attention information is the attention information of the first user, and the first decision information is the decision information of the first user; the service platform is used to forward the first attention information to the user platform; the management platform is used to process production-related information, and generate the first control instruction based on the production-related information. a concern information, and sends the first concern information to the service platform, and generates second concern information and sends the second concern information to the second user, and generates a second control instruction according to the second decision information, wherein the second concern information is the concern information of the second user, and the second decision information is the decision information of the second user; the sensor network platform is used to forward the production-related information to the management platform, wherein the service platform, the management platform and the sensor network platform successively obtain and forward the first control instruction, and the sensor network platform also obtains and forwards the second control instruction; the object platform is used to obtain the first control instruction and the second control instruction, and execute the first control instruction and / or the second control instruction, and output the production-related information to the sensor network platform.

[0006] Optionally, the user platform is also used to receive industry-related information, and the user platform generates the decision-making support information based on the internal information, the external information and the first focus information; wherein the internal information includes one or more of R&D information, design information, production information, supply chain information, sales information and service information; the external information includes one or more of industry development information, market information and industrial policy information.

[0007] Optionally, the service platform includes: an intelligent manufacturing perception service information communication system, used to forward the acquired first attention information to a user platform; and an intelligent manufacturing control service information communication system, used to forward the acquired first control instruction to the management platform.

[0008] Optionally, the intelligent manufacturing control service information communication system includes: a real-time data acquisition subsystem, which is used to collect real-time data of the automated production line; a warehouse control subsystem, which is used to use the underlying software of the intelligent production inspection equipment to automatically manage the storage, picking, packaging, outbound and inbound processes of goods in the warehouse, wherein the intelligent production inspection equipment includes robots, visual inspection equipment, and automatic guided vehicles; a CNC machine tool cluster networking subsystem, which is used to use programmable logic control software, display software, and industrial computer operating system software to manage the CNC machine tool cluster in the automated production line.

[0009] Optionally, the second control instruction includes at least one of the following: order scheduling instructions for automated production lines; product quality control instructions; process execution management instructions; equipment operation management instructions; and data analysis and mining instructions.

[0010] Optionally, the production-related information includes at least one of the following: real-time collection data of the automated production line; product quality data; equipment operation status data; and work order completion status data.

[0011] Optionally, the management platform includes: an enterprise resource planning subsystem for integrating various resources within the enterprise; a manufacturing execution management subsystem for monitoring and controlling the production process; a computer-aided process planning subsystem for using computer technology to assist in the design of product processes; a warehouse management subsystem for managing and tracking warehouse inventory and controlling the flow of materials within the warehouse; a product life cycle management subsystem for managing the entire life cycle of the product; a customer relationship management subsystem for managing customers involved in the marketing and service process of the product; a process management subsystem for optimizing industrial production processes and operation processes; and a business system management subsystem for managing the business processes of the enterprise.

[0012] Optionally, the user platform is connected to the first user via an APP / WeChat applet.

[0013] In order to achieve the above-mentioned objectives, the present invention also provides a cloud management method for a smart factory, which is applied to a cloud management Internet of Things system for a smart factory. The method is executed by a cloud computing platform, and the method includes: obtaining production-related information, first focus information and industry-related information; processing the first focus information, the internal information and the external information to obtain decision-making auxiliary information; generating second focus information and the first focus information based on the production-related information; processing the second focus information to obtain a first control instruction; processing the first focus information and the decision-making auxiliary information to obtain a second control instruction; and performing production management of the smart factory based on the first control instruction and the second control instruction.

[0014] Optionally, the decision-making auxiliary information includes: one or more of: research and development information, design information, production information, supply chain information, sales information, service information, industry development information, market information and industrial policy information.

[0015] The embodiment of the present application proposes a cloud management Internet of Things system and management method for a smart factory, wherein the user platform is used to obtain and process first attention information, obtain decision-making auxiliary information and send it to the first user, obtain the first decision information and generate a first control instruction based on the first decision information, wherein the first attention information is the attention information of the first user, and the first decision information is the decision information of the first user; the service platform is used to forward the first attention information to the user platform; the management platform is used to process production-related information, generate the first attention information based on the production-related information, and send the first attention information to the service platform, and generate the second attention information and send the second attention information to the second user, and generate the second control instruction according to the second decision information, wherein the second attention information is the attention information of the second user, and the second decision information is the decision information of the second user; the sensor network platform is used to forward the production-related information to the management platform, wherein the service platform, the management platform and the sensor network platform obtain and forward the first control instruction in turn, and the sensor network platform also obtains and forwards the second control instruction; the object platform is used to obtain the first control instruction and the second control instruction, execute the first control instruction and / or the second control instruction, and output the production-related information to the sensor network platform. This realizes a smart factory management system that integrates facility and equipment management, production automation, intelligence, information management, and human resource information management. It also uses the cloud computing platform to store, calculate, classify, package, and transmit data in the management system, achieving the purpose of high-performance data processing and safe, effective, and real-time data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A structural block diagram of a cloud management Internet of Things system for a smart factory provided in an embodiment of the present application;

[0017] Figure 2 A structural block diagram of a service platform for a smart factory provided in an embodiment of the present application;

[0018] Figure 3 A structural block diagram of a management platform for a smart factory provided in an embodiment of the present application;

[0019] Figure 4 A structural block diagram of an object platform for a smart factory provided in an embodiment of the present application;

[0020] Figure 5 A flow chart of a cloud management method for a smart factory provided in an embodiment of the present invention.

[0021] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0022] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0023] Figure 1 This is a structural diagram of a cloud management IoT system for a smart factory provided in an embodiment of the present application. Figure 1 The cloud management Internet of Things system for smart factories may include a cloud computing platform 101, a sensor network platform 105, and an object platform 106. The cloud computing platform 101 includes a user platform 102, a service platform 103, and a management platform 104, which are sequentially connected in communication. The sensor network platform 105 is respectively connected in communication with the management platform 104 and the object platform 106; the user platform 102 is used to obtain and process the first attention information, obtain the decision-making auxiliary information and send it to the first user, obtain the first decision information and generate the first control instruction based on the first decision information, wherein the first attention information is the attention information of the first user, and the first decision information is the decision information of the first user; the service platform 103 is used to forward the first attention information to the user platform 102; the management platform 104 is used to process the production-related information, based on the production-related auxiliary information The sensor network platform 105 is used to forward the production-related information to the management platform 104, wherein the service platform 103, the management platform 104 and the sensor network platform 105 sequentially obtain and forward the first control instruction, and the sensor network platform 105 also obtains and forwards the second control instruction; the object platform 106 is used to obtain the first control instruction and the second control instruction, and execute the first control instruction and / or the second control instruction, and output the production-related information to the sensor network platform 105.

[0024] The first decision information refers to the decision information of the first user, and the first user may be the person in charge of smart manufacturing. The person in charge of smart manufacturing may be, for example, the person in charge of the workshop, the person in charge of the factory, etc. The first decision information may include the number of production lines opened, the production plan, the staffing, etc.

[0025] In some embodiments, the first decision information can be obtained by the intelligent manufacturing person in charge after scientifically analyzing the decision-making auxiliary information.

[0026] The second decision information refers to the decision information of the second user, and the second user may be a smart manufacturing manager. The smart manufacturing manager may be, for example, the person in charge of the production line. The second decision information may include work order information, production scheduling, personnel scheduling information, etc.

[0027] In the embodiments of the present application, production-related information may include: real-time data collected from automated production lines; product quality data; equipment operation status data; and work order completion status data. These production-related information are mainly obtained by the Internet of Things composed of photoelectric sensors, environmental sensors, and communication equipment.

[0028] In an embodiment of the present application, the user platform 102 can also be used to receive industry-related information. The user platform 102 can generate decision-making support information based on the industry-related information and the first focus information, wherein the industry-related information may include internal information and external information. Specifically, the internal information may include one or more of R&D information, design information, production information, supply chain information, sales information, and service information; the external information includes one or more of industry development information, market information, and industrial policy information.

[0029] Specifically, the user platform 102 can be connected to the first user through an APP / WeChat applet.

[0030] Figure 2 For a structural diagram of the service platform for smart factories provided in the embodiment of the present application, refer to Figure 2 , exemplarily, the service platform 103 can analyze production-related information, external information and internal information, so as to assist users in completing strategy formulation, resource allocation, risk control and strategic planning, thereby generating a first control instruction, and the user platform 102 sends the first control instruction to the object platform 106 through the service platform 103, the management platform 104, and the sensor network platform 105 connected to the cloud computing platform 101, and controls the object platform 106 to perform intelligent production of products. Exemplarily, production-related information, external information and internal information can be viewed through terminals such as PDA mobile phones and PCs.

[0031] In an embodiment of the present application, the service platform 103 may include an intelligent manufacturing perception service information communication system 1031 and an intelligent manufacturing control service information communication system 1032, wherein the intelligent manufacturing perception service information communication system 1031 is used to forward the acquired first attention information to the user platform 102, wherein the first attention information may be the information that the first user is concerned about; the intelligent manufacturing control service information communication system 1032 is used to forward the acquired first control instruction to the management platform 104 and other platforms connected to the management platform 104.

[0032] Specifically, the service platform 103 can extract the first information of interest from the management platform 104, and use the service cloud computing platform 101 to hierarchically process the first information of interest, and finally transmit it to the first user. The first information of interest may include order execution data, inventory data, quality data, manufacturing site management data, equipment operation data and other information. For enterprises with multiple factories or multiple production lines, the amount of data and information of these enterprises is particularly huge, and the ability requirements of the service platform 103 are relatively high. Therefore, the service platform 103 based on the cloud computing platform 103 can realize the storage, calculation, grading, and packaging transmission of large-scale data and information, thereby providing customers with real-time, convenient, and accurate production relationship information. Exemplarily, the service platform 103 can provide the required production data, equipment operation status, quality information, and work order execution status to the workshop management personnel. The service platform 103 can achieve rapid response and convenient and accurate transmission of data and information.

[0033] Figure 3 The structural block diagram of the management platform for a smart factory provided in the embodiment of the present application is shown in FIG. Figure 3 In an embodiment of the present application, the management platform 104 may include an enterprise resource planning subsystem 1041, a manufacturing execution management subsystem 1042, a computer-aided process planning subsystem 1043, a warehouse management subsystem 1044, a product lifecycle management subsystem 1045, a customer relationship management subsystem 1046, a process management subsystem 1047 and a business system management subsystem 1048, wherein the enterprise resource planning subsystem 1041 may be used to integrate various resources within the enterprise; the manufacturing execution management subsystem 1042 may be used to monitor and control the production process; the computer-aided process planning subsystem 1043 may be used to assist in the design of product processes using computer technology; the warehouse management subsystem 1044 may be used to manage and track warehouse inventory and control the flow of materials within the warehouse; the product lifecycle management subsystem 1045 may be used to manage the entire life cycle of the product; the customer relationship management subsystem 1046 may be used to manage the customers involved in the marketing and service process of the product; the process management subsystem 1047 may be used to optimize the industrial production process and the operation process; and the business system management subsystem 1048 may be used to manage the business processes of the enterprise. The main function of the management platform 104 is to assist the second user in production management, quality management and resource management. Among them, production management is mainly used to manage process execution, work order completion and real-time production site conditions; quality management is mainly used for error prevention management, raw material quality traceability management and abnormal analysis management; resource management is mainly used for equipment operation status management, personnel on-the-job status management, material completeness management and abnormal alarm management.

[0034] Exemplarily, the enterprise resource planning subsystem 1041 (ERP system) of the management platform 104 can receive production-related information such as work order execution quantity information, material receipt order details information, material delivery order details information, storage information, outbound order details information, inventory order information, etc., which are manually or automatically sent by the manufacturing execution management subsystem 1042 (MES system), the process management subsystem 1047 (CAPP system), and the warehouse management subsystem 1044 (WMS system). These production-related information are transmitted through a unified interface, and the production-related information can be stored in the intermediate database in XML data format, JSON format, CSV format, and HTML format. The enterprise resource planning subsystem 1041 (ERP system) can use the Web Services interface to uniformly access the intermediate database. In this way, the enterprise resource planning subsystem 1041 (ERP system) can obtain production-related information including static data and dynamic data based on the production-related information, wherein the static data can include: customer level, customer information, material classification information, warehouse & storage location information, employee information, supplier information, material information, and unit information. Dynamic data may include work order information, product BOM information, purchase order information, and delivery order information, etc. The management platform 104 can achieve the goals of intelligent manufacturing, digital management, automated collection, intelligent scheduling, refined materials, on-site kanban, quality transparency, paperless operations, and system integration.

[0035] When there are multiple factories or multiple production lines, the amount of data and information is extremely huge, and the capabilities of the management platform 104 are required to be relatively high. The management platform 104 can be used to transmit the product quality control status, process execution status, equipment status feedback, data analysis and mining status of the automated production line to the second user, so as to facilitate the second user to conduct centralized processing and decision-making of related business.

[0036] Figure 4 The structural block diagram of the object platform for a smart factory provided in the embodiment of the present application is shown in FIG. Figure 4In the embodiment of the present application, the object platform 106 is mainly used to realize real-time feedback of equipment, production and quality information. The intelligent manufacturing control service information communication system of the object platform 106 may include a real-time data acquisition subsystem 1061 (SCADA system), a warehouse control subsystem 1062 (DNC system) and a CNC machine cluster networking subsystem 1063 (WMS system), wherein the real-time data acquisition subsystem 1061 (SCADA system) can be used to collect real-time data of the automated production line; the warehouse control subsystem 1062 (DNC system) can use the underlying software of the intelligent production inspection equipment to automatically manage the storage, picking, packaging, outbound and inbound processes of goods in the warehouse. For example, the intelligent production inspection equipment may include robots, visual inspection equipment and automatic guided transport vehicles; the CNC machine cluster networking subsystem 1063 (WMS system) can use programmable logic control software, display software and industrial computer operating system software to manage the CNC machine cluster in the automated production line.

[0037] Specifically, the object platform 106 can adopt cutting-edge industrial manufacturing technologies such as Internet technology, sensing technology, robot vision technology, computer-aided manufacturing technology, RFID technology, automatic guided vehicle technology, and QR code traceability technology to control the entire production process in real time and obtain production-related information and decision-making support information.

[0038] Exemplarily, the object platform 106 can also obtain the data of the equipment, environment and production line through the PLC control device and the control expansion module, and connect the acquired data with the real-time data acquisition subsystem 1061 (SCADA system), and use the real-time data acquisition subsystem 1061 (SCADA system) to process the data of the equipment, environment and production line to obtain the hierarchical identification information in the production process. It is worth noting that the real-time data acquisition subsystem 1061 (SCADA system) can control the machine equipment on the production line for intelligent production according to the first control instruction and the second control instruction. It should be noted that the second control instruction includes: order scheduling instructions for automated production lines; product quality control instructions; process execution management instructions; equipment operation management instructions; data analysis and mining instructions. The first control instruction includes production decision instructions generated using industry-related information and production-related information. These decision instructions can be used to guide production lines to stop or resume work, increase or reduce production lines, etc.

[0039] That is, the PLC control device and the controllable expansion module of the object platform 106 can sense the data of the equipment, environment and production line, and connect the sensed data with the SCADA system. The object platform 106 sends the production management data output by the real-time data acquisition subsystem 1061 (SCADA system) after hierarchical identification to the management platform 104. The manufacturing execution management subsystem 1042 (MES system) of the management platform 104 sends the first control instruction and the second control instruction to the real-time data acquisition subsystem 1061 (SCADA system), and instructs the PLC control device and the controllable expansion module to produce according to the first control instruction and the second control instruction. Exemplarily, the production-related information may include at least one of equipment operation status information, production data information, process execution information and quality information.

[0040] Furthermore, the object platform 106 transmits the production-related information to the manufacturing execution management subsystem 1042 (MES system) through the sensor network platform 105. The manufacturing execution management subsystem 1042 (MES system) performs data analysis and processing, and then feeds back the analysis and processing results to the SCADA system, and uses the SCADA system to control the PLC control equipment and the control expansion module for intelligent production. In addition, the warehouse control subsystem 1062 (WCS system) can automatically transport the products manufactured on the production line to the storage warehouse through an automatic guided vehicle (AGV). During the transportation process, the automatic guided vehicle collects image information inside and around the storage warehouse and transmits it to the warehouse management subsystem 1044 (WMS system) of the management platform 104. After the warehouse management subsystem 1044 (WMS system) processes the image information according to the cloud computing platform 101, it outputs the path planning data and sends it to the automatic guided vehicle. The automatic guided vehicle delivers the product to the destination location of the destination storage warehouse according to the path planning data.

[0041] It should be noted that the sensor network platform 105 is mainly used for real-time data collection of automated production lines, product quality information, equipment operating status information, and uploading and issuing work order completion status information. The sensor network platform 105 is mainly used to achieve stable and reliable transmission of data and information.

[0042] Based on the above embodiments, an embodiment of the present invention further provides a cloud management method for a smart factory. Figure 5 Flow chart of the cloud management method of the smart factory provided by the embodiment of the present invention, refer to Figure 5 , the method may be implemented by the cloud computing platform 101. The cloud management method of the smart factory may include:

[0043] S10, obtaining production-related information, first-concern information, and industry-related information;

[0044] S20, processing the first concerned information and the industry-related information to obtain decision-making auxiliary information;

[0045] S30, generating second information of interest and first information of interest based on the production-related information;

[0046] S40, processing the second attention information to obtain a first control instruction;

[0047] S50, processing the first attention information and the decision-making auxiliary information to obtain a second control instruction;

[0048] S60: Perform production management on the smart factory based on the first control instruction and the second control instruction.

[0049] In an embodiment of the present application, industry-related information may include: research and development information, design information, production information, supply chain information, sales information, service information, industry development information, market information and industrial policy information.

[0050] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A cloud management Internet of Things system for smart factories, characterized in that: It includes a cloud computing platform, a sensor network platform and an object platform, wherein the cloud computing platform includes a user platform, a service platform and a management platform which are communicatively connected in sequence, and the sensor network platform is communicatively connected to the management platform and the object platform respectively; The user platform is used to obtain and process first attention information, obtain decision-making auxiliary information and send it to the first user, obtain first decision information and generate a first control instruction based on the first decision information, wherein the first attention information is the attention information of the first user, and the first decision information is the decision information of the first user; The user platform is further used to receive industry-related information, and the user platform generates the decision-making auxiliary information according to the industry-related information and the first concerned information, wherein the industry-related information includes internal information and external information; The service platform is used to forward the first attention information to the user platform; The management platform is used to process the production-related information, generate the first attention information and the second attention information based on the production-related information, send the first attention information to the service platform and send the second attention information to the second user, and generate a second control instruction according to the second decision information, wherein the second attention information is the attention information of the second user, and the second decision information is the decision information of the second user; The sensor network platform is used to forward the production-related information to the management platform, wherein the service platform, the management platform and the sensor network platform sequentially obtain and forward the first control instruction, and the sensor network platform also obtains and forwards the second control instruction; The object platform is used to obtain the first control instruction and the second control instruction, execute the first control instruction and / or the second control instruction, and output the production-related information to the sensor network platform.

2. The cloud management Internet of Things system for smart factories according to claim 1, characterized in that: The service platform includes: An intelligent manufacturing perception service information communication system, used for forwarding the acquired first attention information to a user platform; The intelligent manufacturing control service information communication system is used to forward the acquired first control instruction to the management platform.

3. The cloud management Internet of Things system for smart factories according to claim 2, characterized in that: The intelligent manufacturing control service information communication system includes: Real-time data acquisition subsystem, used to collect real-time data of automated production lines; The warehouse control subsystem is used to automatically manage the storage, picking, packaging, outbound and inbound processes of goods in the warehouse using the underlying software of the intelligent production and inspection equipment, wherein the intelligent production and inspection equipment includes robots, visual inspection equipment, and automatic guided transport vehicles; The CNC machine tool cluster networking subsystem is used to manage the CNC machine tool cluster in the automated production line using programmable logic control software, display software, and industrial computer operating system software.

4. The cloud management Internet of Things system for smart factories according to claim 1, characterized in that: The second control instruction includes at least one of the following: Order scheduling instructions for automated production lines; Product quality control instructions; Management instructions for process execution; Management instructions for equipment operation; Data analysis and mining instructions.

5. The cloud management Internet of Things system for smart factories according to claim 1, characterized in that: The production-related information includes at least one of the following: Real-time data collection of automated production lines; Product quality data; Equipment operating status data; Work order completion data.

6. The cloud management Internet of Things system for smart factories according to claim 1, characterized in that: The management platform includes: Enterprise resource planning subsystem, used to integrate various resources within the enterprise; Manufacturing execution management subsystem, used to monitor and control the production process; Computer-aided process planning subsystem, used to assist in the design of product processes using computer technology; The warehouse management subsystem is used to manage and track the warehouse inventory and control the flow of materials within the warehouse; Product life cycle management subsystem, used to manage the entire life cycle of the product; Customer relationship management subsystem, used to manage customers involved in the product's marketing and service processes; Process management subsystem, used to optimize industrial production and operation processes; Business system management subsystem is used to manage the business processes of the enterprise.

7. The cloud management Internet of Things system for a smart factory according to claim 1, characterized in that: The user platform is connected to the first user through APP / WeChat applet.

8. A cloud management method for a smart factory, characterized in that: The cloud management Internet of Things system for a smart factory according to any one of claims 1 to 7 is applied, wherein the method is executed by a cloud computing platform, and the method comprises: Obtain production-related information, first-career information, and industry-related information; Processing the first concerned information and the industry-related information to obtain decision-making auxiliary information; generating second information of interest and the first information of interest based on the production-related information; Processing the second attention information to obtain a first control instruction; Processing the first attention information and the decision-making auxiliary information to obtain a second control instruction; Production management of the smart factory is performed based on the first control instruction and the second control instruction.

9. The cloud management method for a smart factory according to claim 8, characterized in that: The industry-related information includes: One or more of R&D information, design information, production information, supply chain information, sales information, service information, industry development information, market information and industrial policy information.

Images