Internet of Things big data management method for industrial park

Abstract

The invention discloses an Internet of Things big data management method for an industrial park. The method comprises the following work operation processes: 1, establishment of a park integrated management module; 2, dividing a park integrated management module; 3, carrying out installation and experiments of related equipment according to the drawing, and ensuring normal operation of the equipment; and 4, performing permission division according to the management hierarchy. According to the method, the flow of creating the data index database is set, after authority verification, warehouse management personnel with the authority can input warehouse-in and warehouse-out update data of the warehouse, when verification is passed, the input warehouse-in and warehouse-out data can be transmitted to the index update data set for subsequent processing; and if errors occur in the data input process, the data is input wrongly, so that the verification operation cannot be passed, at the moment, the verification module can return the input data to the step of data input, the input mistakes are displayed, input personnel are reminded to correct the input data, and the correctness of updated data is ensured.

Description

technical field [0001] The invention relates to the technical field of data management, in particular to an industrial park-oriented big data management method for the Internet of Things. Background technique [0002] At present, industrial parks tend to be more and more regionalized. In the same industrial park, most of the industrial types are of the same type. Under the premise of this homogenization, with the help of relatively mature Internet of Things big data management methods, it can assist the park The integrated management of the managers can not only greatly improve the management efficiency of the whole area, but also cover the management scope of the park in an all-round way. [0003] The shortcomings of existing data management methods are: [0004] 1. The comparative document CN109977104A discloses a data management method and device, "comprising: receiving the front-end table, wherein the front-end table includes input database operation instructions. Parsi...

AI Technical Summary

Problems solved by technology

Commodity data with different property rights can be managed comprehensively, thereby effectively improving the efficiency of data management; it is convenient to display, promote and sell commodities with different property rights on the same platform, and the user experience is good.” When this method is used, it cannot target The external environment of commodity storage is subject to corresponding monitoring, analysis and management, which leads to corresponding limitations in this management method;

[0006] 3. The comparative document CN109672994A discloses a data management method and system for a charging pile, "including a wireless sensor network, a system gateway, and a data management system; the method includes: the data management system receives the charging pile obtained by the system gateway from the wireless sensor network; data; the data management system analyzes the received working data of the charging piles to obtain corresponding analysis results, the analysis results including the use frequency of each charging pile, the life cycle of each charging pile and the detection Abnormal working data; the data management module displays the received working data of the charging pile in the form of a chart, and displays the analysis results", when this method is used, it fails to make corresponding monitoring adjustments for the moving path of the managed object , leading to collisions and congestion between transport vehicles when charging piles are transferred in a centralized manner, which cannot provide guarantee for the safety of charging piles;

According to the data management method, data management device, electronic equipment, and storage medium of the present invention, the problems of low data transmission efficiency, difficulty in data management, and difficulty in re-calling in the data management process can be solved, and efficient data management can be realized, which is beneficial to data When this method is used, it fails to perform corresponding fragmentation processing on the input data set, causing the original data set to directly enter the processing process, so when the relevant fragmented data is called later, due to data correlation Larger, resulting in more complex data retrieval operations and slower retrieval speed

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