Internet of things-based satellite production site real object directional perception method

Abstract

The invention provides an internet of things-based satellite production site real object directional perception method. According to the method, firstly, at least three UWB positioning base stations are installed on a satellite production site and then a UWB data network is constructed. According to the actual layout of a production workshop, a production workshop layout diagram of which the ratiois 1: 1 is drawn. The production workshop layout diagram is sent to a server and a client. After that, a laser measuring instrument is adopted to measure the coordinate positions of all nodes on theproduction workshop layout diagram and the boundaries of production stations and then UWB positioning tags are controlled to emit microwave signals. UWB positioning base stations convert received microwave signals into digital signals, and send the digital signals to the server. The UWB positioning base station positioning system of the control server is controlled to calculate the position information of each tag and the calculated position information is stored in the database of the server. Finally, the pointing of the client is obtained and sent to the server. As a result, the directionalperception of the production station area and the directional perception of production resources are achieved.

Description

technical field [0001] The invention relates to a method for directional perception of objects in a satellite production site based on the Internet of Things. Background technique [0002] The characteristics of satellite products determine that their production has the characteristics of many varieties, large quantities and small batches, which in turn affects the product manufacturing process and workshop production, resulting in the characteristics of satellite product manufacturing workshops with dynamic changes in the production process and difficult WIP management. . At the same time, the constantly enriched information systems and digital equipment have generated a large amount of data. However, due to the lack of directional perception methods for physical objects on the production site, there is a lack of organic correlation between physical objects on the production site and data information, and the data information cannot fully reflect the real operation of the w...

AI Technical Summary

Problems solved by technology

At the same time, the ever-increasing information systems and digital equipment have produced a large amount of data. However, due to the lack of directional perception methods for physical objects on the production site, the physical objects on the production site are not organically related to the data information, and the data information cannot fully reflect the real operation of the workshop. On the one hand, it leads to The production plan still adopts "push" execution, the production cycle is long, and the production scheduler cannot quickly grasp the actual production status and existing problems in the workshop, and cannot monitor the execution process of the production plan

On the other hand, it makes it impossible to quickly locate the production resources in the workshop. There are a large number of people looking for materials and tools. The resources in the workshop cannot be monitored, and there are problems of missing materials on the production site and unknown production plans corresponding to the materials. The uniformity of materials Unknown, unknown status of equipment, unknown location of tools, wasting a lot of time to coordinate, etc.

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