Smart cloud service warehouse management and control system and method

Abstract

The invention discloses a smart cloud service warehouse management and control system, and the system comprises front-end hardware equipment, an intelligent control cabinet and a cloud server; the intelligent control cabinet is respectively connected and communicated with the front-end hardware equipment and the cloud server; the intelligent control cabinet collects data uploaded by the front-end hardware equipment and uploads the collected data to the cloud server; the cloud server performs multi-latitude modeling analysis by using big data and an artificial intelligence algorithm according to the uploaded data, and sends a corresponding control instruction to the intelligent control cabinet according to an analysis result; and the intelligent control cabinet sends the control instruction to the front-end hardware equipment to realize linkage control of the front-end hardware equipment. According to the method, the front-end hardware equipment is subjected to integrated management and control, data uploaded by the front-end hardware equipment is processed by using big data and an artificial intelligence algorithm to perform multi-dimensional modeling analysis, manual intervention is not needed, and an optimal solution can be made according to an actual working environment of a warehouse.

Description

technical field [0001] The invention relates to the technical field of grain storage management and control, in particular to a smart cloud service storage management and control system and method. Background technique [0002] With the development of Internet of Things technology, more and more people pay attention to the intelligent management of grain storage. The existing grain storage control has the following disadvantages: [0003] 1. Multiple systems in the warehouse are independent or simply integrated, and cannot be linked to solve problems in parallel. For example, pest inspection and nitrogen atmosphere adjustment cannot be linked in real time. [0004] 2. The general control system adopts a single-channel information exchange method, that is, the hardware can be connected to the cloud service, but the cloud service cannot directly control the front-end hardware or cannot be linked. [0005] 3. The control is single and the function is single. It is based on t...

AI Technical Summary

Problems solved by technology

[0003] 1. Multiple sets of systems in the warehouse are independent or simply integrated, and cannot be linked to solve problems in parallel

For example, pest inspection and nitrogen atmosphere adjustment cannot be linked in real time

[0004] 2. The general control system adopts a single-channel information exchange method, that is, the hardware can be connected to the cloud service, but the cloud service cannot directly control the front-end hardware or cannot be linked

[0005] 3. The control is single and the function is single. It is based on the single operation of the operator, not the intelligent control based on the integration and judgment of front-end data analysis.

[0006] 4. Lack of multi-dimensional analysis and judgment, relying more on the manual operation of warehouse operators to complete the control

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