Data collaboration and intelligent identification system based on Internet of Things RPC communication

[0015] Such as figure 1 As shown in the figure, the present invention mainly includes a client, a server and a department host. The present invention will be described in detail below with reference to the accompanying drawings.

[0016] Such as figure 1 As shown, the client is connected to the remote server network through RPC (Remote Procedure Call Protocol), the client can send call information to the remote server, and wait for the remote server to respond. The remote server sends data information to the client. The data information may be information on bidding for agricultural machinery products, information on technical requirements for agricultural machinery products, and so on. Such as figure 2 As shown, the client includes a product data manager, a data sending module, a data receiving module, a data integration module, and a data analysis module. The data sending module is used to send call information to the remote server, and the data receiving module is used to receive data fed back from the remote server. Information, data integration module is used to integrate invocation information, including merging and sorting out the same or similar invocation information sent by the same requester, and then only sending out one invocation message to improve the efficiency of remote server response and facilitate remote server identification; The data information fed back by the remote server can also be integrated to prevent the client from receiving scattered data information sent by the same remote server, thereby avoiding the omission and repeated reception of data information. The data analysis module is used to analyze the correctness and timeliness of the data information sent by the remote server, including whether the data information fed back by the remote server matches the calling information, and whether the data information fed back by the remote server is the latest information. The product data manager stores agricultural machinery product data, including agricultural machinery classification information, agricultural machinery model information, agricultural machinery structural drawings and instructions, agricultural machinery after-sales service manuals, agricultural machinery maintenance manuals, and preservation records at the product design stage. The data information stored in the product data manager can be the company's internal agricultural equipment information or external data information.

[0017] Managers, design department, production department, purchasing department, quality inspection department, after-sales department, sales department, mechanical department and electrical department can retrieve information from the client through their respective department hosts, which are in the same LAN Inside, the information exchange between the two is realized through the network. In order to prevent people without authority from reading and calling the data information in the client computer, resulting in data loss, the client computer has an encryption function, and the data can be read and called only through an authorized password.

[0018] The manager, design department, production department, purchasing department, quality inspection department, after-sales department, sales department, mechanical department and electrical department are connected through the product data manager, and the manager, design department, production department, purchasing department, quality The inspection department, after-sales department, sales department, mechanical department and electrical department can all send data to the product data manager. For example, the manager sends product design requirement information, bid information, and related policy documents to the product data manager. The data manager retrieves the data information uploaded by other departments; the design department retrieves the data information fed back by the manager and other departments to redesign the product; the production department retrieves the data information released and fed back by the manager and other departments to review the product Carry out production, processing and modification; the purchasing department shall, based on the data and information released and feedback by the manager and other departments, purchase various standard parts and non-standard parts that do not meet the processing conditions; the quality inspection department shall publish according to the manager and other departments The after-sales department formulates repair and debugging plans based on the data and information fed back by the managers and agricultural machinery users, and conducts on-site maintenance and debugging of the products; the sales department issues and feedbacks according to the managers and other departments To conduct the sales of agricultural machinery products, and formulate sales plans; the mechanical department produces and processes the mechanical parts of the products according to the product design data and parts models released and feedback by managers and other departments; the electrical department produces and processes the mechanical parts of the products according to the managers and others The product design data and component models released and fed back by the department perform the production, processing and assembly of the electrical part of the product.

[0019] There is also a data recognition module in the product data manager. The data recognition module recognizes sensitive data as text content and uses a combination of semantic analysis and language processing to identify sensitive data.

[0020] Such as image 3 As shown, the data received by the data receiving module can be transferred to the data integration module, which integrates the data that meets the requirements; the data received by the data receiving module can also be transferred to the data analysis module, and the data analysis module analyzes the correctness of the data , Timeliness analysis, and then transfer useful data information to the data integration module, and the data integration module integrates the data again. After the data integration module integrates the data, it returns the data information to the data analysis module for re-analysis. After re-analysis, the data information is sent to the data integration module again for re-integration until the integrated data information meets the requirements.