A large data management system for a factory

Abstract

A large data management system for a factory is provided. A personnel monitoring unit checks people entry and exit information at the employee entrance of the factory area and the entrance of the workshop, records the time when the employs enter and exit the workshop, performs face identification and uploads the information to a cloud server for checking by managers. A vehicle monitoring unit checks and identifies the vehicle information of the vehicle entrance of the factory area and the delivery area. Vehicle weighing instruments are provided at the vehicle entrance of the factory area and the delivery area for recording vehicle information and weights for each vehicle and sending the information to the cloud server. A warehouse monitoring unit for monitoring the material outgoing information in the warehouse is arranged in the warehouse and the material outgoing information is uploaded to the cloud server. The data returned by the personnel monitoring unit, the vehicle monitoring unit and the warehouse monitoring unit are received in the cloud server as the data basis for monitoring and analysis. The invention can control the personnel, vehicles and goods entering and leaving the plant area, ensure the reliability of incoming and outgoing of materials in the plant area, and realize the effective control of the working time of the employees.

Description

technical field [0001] The invention relates to a management system, in particular to a big data management system for factories based on a cloud platform. Background technique [0002] In the factory area, there are many vehicles for workers entering and leaving the factory area every day. At present, the access control system and vehicle monitoring system are used to monitor the time of their entry and exit. However, there is a lack of detailed and targeted management, resulting in no unified control over the overtime hours of employees' attendance machines. For example, Individual employees who work overtime and overtime cannot be monitored by managers in time, which is prone to problems. In addition, there is no targeted comparison and monitoring of materials or goods entering and leaving the factory area, workshop, warehouse, etc., which leads to poor control and is prone to management loopholes, which may bring economic losses or production problems to the factory. ...

AI Technical Summary

Problems solved by technology

[0002] In the factory area, there are many vehicles for workers entering and leaving the factory area every day. At present, the access control system and vehicle monitoring system are used to monitor the time of their entry and exit. However, there is a lack of detailed and targeted management, resulting in no unified control over the overtime hours of employees' attendance machines. For example, Some employees who work overtime and overtime cannot be monitored by the management in time, which is prone to problems

In addition, there is no targeted comparison and monitoring of materials or goods entering and leaving the factory area, workshop, warehouse, etc., which leads to poor management and control, and is prone to management loopholes, which may bring economic losses or production problems to the factory.

[0003] In general, there is a lack of a management system for the production characteristics of the factory in the existing factory

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