A remote measurement system for the quantity of grain in stock based on bulk density estimation

Abstract

The invention relates to the technical field of remote food storage monitoring, and provides volume-weight estimation based remote calculation system for the quantity of inventory food. The system comprises remote collection terminals arranged in different food barns, food condition sensors buried in food piles and a remote management platform. The remote collection terminals are used for collecting distances between ultrasonic-sensor distance measurement arrays and top faces of the food piles. The food condition sensors are used for collecting current food temperature, moisture and humidity. The remote management platform is connected with each remote collection terminal through an internet, sends control commands to corresponding remote collection terminals to acquire related measurement data, accurately calculates the quantity of food in the barns through an error correction module, a volume-weight estimation module and a food quantity calculation module, and can acquire vacancy conditions of the food barns in various regions. By the system, real-time accurate calculation of the food in the food barns can be realized, calculation results are automatically compared with the book-keeping quantity of the food to analyze whether or not abnormality exists, and if abnormality exists, alarms are given out by mails and short messages to realize automatic monitoring.

Description

technical field [0001] The invention relates to the technical field of remote grain storage supervision, in particular to a remote measurement and calculation system for the quantity of grain in stock based on bulk density estimation. Background technique [0002] Grain security is a strategic issue related to the national economy and the people's livelihood. Strengthening the supervision of grain inventory can enhance the government's macro-control and anti-risk ability on grain, and ensure that the government can adjust and use it when it needs it. The current grain inventory storage quantity management is usually based on the measurement and accounting method when entering and leaving the warehouse or the on-site manual measurement method to determine the quantity of grain in the warehouse and the vacant warehouse capacity. Therefore, if the inventory is abnormal (caused by natural errors due to changes in the density of grain piles caused by ventilation) or unauthorized ...

AI Technical Summary

Problems solved by technology

Therefore, if the inventory is abnormal (caused by natural errors due to changes in the density of grain piles caused by ventilation) or unauthorized use of stored grain, it is impossible to give timely warnings, and the competent department cannot accurately grasp the storage quantity and storage capacity of scattered grain depots in real time. situation, and this information is of great significance to the deployment of grain in and out of warehouses

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