Method for acquisition, analysis processing and feedback of logistics data in production process

Abstract

The invention discloses a method for acquisition, analysis processing and feedback of logistics data in a production process. The method includes establishing binding relations between radio frequency identification reader numbers and process numbers and between tag numbers and material numbers; constructing and initializing three logistics matrixes; obtaining radio frequency identification initial data; converting the radio frequency identification initial data into logistics event data and then loading the data into the three logistics matrixes according to a data input rule; analyzing element values in the three logistics matrixes to obtain logistics state information; diagnosing logistics states of processes and materials; adjusting processes and materials which have abnormal material states according to prompts; and determining whether a job task is completed or not, and finishing if the job task is completed. According to the method, hardware acquisition costs of enterprises are saved, efficient storage and reading for mass logistics data are achieved, real-time comprehensive understanding of logistics state information and timely adjustment for abnormal conditions are facilitated, and the workshop logistics monitoring level of the enterprises is improved effectively.

Description

technical field [0001] The invention relates to a data acquisition, analysis processing and feedback method, in particular to a logistics data acquisition, analysis processing and feedback method in the production process. Background technique [0002] With the advancement of data collection technology and the improvement of enterprise informatization level, more and more enterprises apply radio frequency identification technology to the logistics control of workshop materials. Essentially, the logistics status of workshop materials is composed of logistics events that occur in the workshop at any time. Logistics events are events that occur in each process, including the scrapping of materials in a certain process, or the arrival and processing of a batch of new materials in a certain process, the rework of materials in a certain process, and so on. The reader placed at the execution position of a certain process is always monitoring the signal sent by the radio frequency ...

AI Technical Summary

Problems solved by technology

[0003] At present, the main difficulties in the logistics information management and control of manufacturing workshop materials are: first, there is no specific specification for which data to collect and which data to not collect, resulting in the data being too bloated from the collection end; second, the link of information extraction is too lagging, When the data is transmitted to the PC, the information contained in it should be extracted, and then stored in the database in a concise and standardized form, otherwise the storage and reading of massive data in the database will cause an excessive burden on the computer memory; finally, it needs to be improved The efficiency of the information extraction method, the method of extracting information from the data is undoubtedly the main factor affecting the performance of the system, and ordinary methods will not be able to cope with the load of massive data

In general, there is currently a lack of a set of practical and efficient logistics data collection, analysis, processing and feedback methods in the production process

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