Low-power-consumption embedded intelligent well lid sensing terminal based on image processing and NBIOT

An image processing, low power consumption technology, applied in the field of intelligent manhole cover, can solve the problems of large power consumption of the intelligent manhole cover for detecting underground data, single function of the intelligent manhole cover, and inability to view the underground environment at the same time, etc.

Inactive Publication Date: 2020-11-06
上海交通大学烟台信息技术研究院
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  • Abstract
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Problems solved by technology

[0003] The invention provides an embedded smart manhole cover sensing terminal based on image processing and NBIOT low power consumption to solve the technical problems that the current smart manhole cover has a single function, cannot simultaneously view the downhole environment, detect downhole data for pre-alarm, and consume a large amount of power for the smart manhole cover.

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  • Low-power-consumption embedded intelligent well lid sensing terminal based on image processing and NBIOT

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Embodiment Construction

[0015] The invention provides an embedded smart manhole cover sensing terminal based on image processing and NBIOT low power consumption, including a circuit board, and the upper surface of the circuit board is provided with a camera, a gas sensor, an acceleration sensor, an illumination sensor, an environment sensor, an MCU micro control unit, Memory and battery; the camera, the gas sensor, the environment sensor, the illumination sensor, the acceleration sensor, the battery, the memory are connected with the MCU micro control unit for NBIOT IoT signal. The downhole photos can be collected through the camera, the MCU micro-control unit compares and analyzes the uploaded data to give an abnormal alarm, and the MCU micro-control unit controls the gas sensor, the environment sensor, the light sensor, the The acceleration sensor, the battery and the memory are regularly dormant to achieve the technical effects of regularly collecting downhole photos, pre-alarming for downhole abno...

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Abstract

The invention discloses a low-power-consumption embedded intelligent well lid sensing terminal based on image processing and NBIOT. The low-power-consumption embedded intelligent well lid sensing terminal comprises a camera, a gas sensor, an acceleration sensor, an illumination sensor, an environment sensor, an MCU, a memory and a battery. The MCU transmits a timing data acquisition instruction and a timing sleep instruction to the camera, the gas sensor, the environment sensor, the illumination sensor, the acceleration sensor, the battery and the memory through NBIOT signals; and the camera and the sensor are controlled to collect underground data, the uploaded data is compared through the MCU micro-control unit to give an abnormal alarm, and the uploaded data is automatically reported atthe same time.

Description

technical field [0001] The invention belongs to the field of smart manhole covers, in particular to an embedded smart manhole cover sensing terminal based on image processing and NBIOT low power consumption. Background technique [0002] As the country increases investment in infrastructure, the number of underground comprehensive pipe corridor facilities continues to increase, and the number of underground facilities for heating, gas, electricity, and communication comprehensive pipe corridors in cities is increasing, and the number of manhole covers has also increased significantly. The functions of the existing smart manhole covers are relatively simple, and the design scope is mostly for manhole cover anti-theft or detection of underground environmental indicators, and the uninterrupted detection of the underground conditions of the smart manhole cover will consume a lot of power. For the battery-powered smart manhole cover, the battery needs to be replaced frequently, wh...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04W4/38H04W4/70H04W52/02H04N5/225H04N7/18G01D21/02G08B21/18E02D29/14
CPCH04L67/025H04L67/12H04W4/38H04W4/70H04W52/0235H04N7/18G01D21/02G08B21/18E02D29/14H04N23/57H04N23/56
Inventor 田野高丽丽江秀臣叶琛
Owner 上海交通大学烟台信息技术研究院
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