Industrial automatic identification and data acquisition platform

Abstract

The invention discloses an industrial automatic identification and data acquisition platform, which comprises an identifier generation module, an automatic identification module, a data acquisition module, an interface module, a report module and a data analysis and mining module, wherein the identifier generation module is used for generating location identifiers, form identifiers, product identifiers, personnel identifiers, equipment identifiers and accessory identifiers; the automatic identification module classifies and defines identification objects according to types, and comprises license plate identification, location identification, form identification, product identification, personnel identification, equipment identification and accessory identification; the data acquisition module acquires data through automatic identification, and comprises license plate acquisition, location acquisition, form acquisition, product acquisition, personnel acquisition, equipment acquisition and accessory acquisition; the interface module is used for data resource sharing, and comprises an ERP interface, a financial interface, an OA interface and a sales system interface; the report module is used for providing visual data reports for a management layer; and the data analysis and mining module realizes intelligent data analysis on the basis of big data.

Description

technical field [0001] The application relates to an industrial automatic identification and data acquisition platform, which belongs to the cross technical field of industrial automatic identification and data acquisition. Background technique [0002] The industrial automatic identification and data collection platform (AIDC) is the core of the industrial Internet of things platform. The industrial Internet of things platform is an industrial Internet of things management system. With identification and data acquisition technology as the core, it is an intelligent management platform integrating industrial automatic identification, information acquisition, data modeling and process reengineering. [0003] At present, enterprises are paying more and more attention to informatization construction, but there are many problems and deficiencies in the existing enterprise information management system. The physical flow and information flow of enterprises are out of touch, and t...

AI Technical Summary

Problems solved by technology

[0004] 1. The connection between the enterprise information system and the actual workflow is quite problematic, the lack of automatic data collection capabilities, and the inefficiency of various production process data collection methods

All data collection relies on manual labor, and there are tedious tasks such as paper documents, handwritten statistics, and checks in all departments, and there are prominent problems such as information delay, high cost, low accuracy, low labor efficiency, and employee boredom

[0005] 2. There is a lack of scientific and effective information management of production equipment, and there are big problems in the operation and maintenance management system of production equipment in enterprises. The management methods of production equipment and spare parts are backward, and all production equipment management is manually recorded and entered into the system; extensive management has caused Man-hours are wasted; inspection management is difficult to implement, and the frequency and time of production equipment inspections are difficult to implement as required; equipment inspection information lags behind, resulting in waste of maintenance costs; equipment maintenance and repair records are all manually recorded and entered into the system, and the amount of information Larger, more wasted non-productive hours

[0006] 3. At present, there are still many deficiencies in the logistics management system of most enterprises, especially in the establishment of warehousing mode and warehousing management are still in the manual operation management stage

The data in and out of the warehouse needs to be entered manually, which reduces work efficiency, and causes the data in and out of the warehouse to not be updated in time and the data is inaccurate

The lag of information makes it difficult to take inventory of spare parts

The identification of spare parts still relies on experience. Effective storage location management has not been realized in system management, and the storage capacity of the warehouse and the distribution status of the goods cannot be understood

The current backward warehouse management mode and facilities have seriously affected the efficiency of warehouse management, reduced the storage capacity of enterprise warehouses, increased warehouse management costs, and restricted the development of enterprises

[0007] 4. The product quality monitoring means are backward and the quality traceability is not efficient

The quality monitoring method of the production process on the existing production line mainly records data in manual paper, and records once every hour. It is impossible to confirm whether all shifts record data on time, which increases the actual risk of quality monitoring in the production process. Responsibilities for problems cannot be assigned to shift positions

In the process of quality traceability, paper documents are completely relied on, the authenticity is not high, the traceability methods are relatively traditional, the satisfaction of customers in the process of traceability needs to be upgraded, and the corporate image is affected

[0008] 5. The current enterprise sales management system has great disadvantages. Some products are faced with dismantling, transportation and assembly, and often have wrong delivery and missed delivery. Moreover, it is difficult to distinguish due to similar shapes and characteristics during assembly. There are problems such as low efficiency and high professional threshold. ; Some products are facing the problem of cross-selling in channel sales, it is difficult to control the management of dealers, and it is also difficult to quickly respond to feedback on product anti-counterfeiting methods

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