Method and system for monitoring positioning and state of machinery equipment based on sensor sensing

Abstract

The invention discloses a method and a system for monitoring positioning and a state of machinery equipment based on sensor sensing. The method comprises the following steps: setting parameters of a sensor for positioning tags; performing ranging and communication with a nearby base station by the positioning tags; obtaining current position information of the equipment; sensing and acquiring an operating state of the equipment by the sensor; packaging and uploading the data to a service background; resolving a packet by the service background to obtain a specific location, a state and an ID information; forwarding the data to other management systems by the service background. According to the method and the system for monitoring the positioning and the state of the machinery equipment based on sensor sensing, the working state of the machinery equipment is acquired by adopting an external sensing mode; the working state of the machinery equipment is acquired by judging the state dataof the sensor, and further combined with the ID information and the positioning position data of the machinery equipment so as to be transmitted to an upper computer after packaged together. The upper computer provides the position information and various working state information of the machinery equipment according to the analysis of a preset protocol, thereby providing a real-time and accuratedata supporting service for other management systems of the enterprise.

Description

technical field [0001] The invention relates to positioning and state monitoring technology, in particular to a sensor-based machine equipment positioning and state monitoring method and system. Background technique [0002] With the rapid development of mobile Internet of Things, smart home and sensor technology, under the general trend of "Made in China 2025", industrial automation, smart manufacturing, and smart factories have been rapidly developing and spreading in the Yangtze River Delta and Pearl River Delta, playing a role in the construction of industrial automation. play an indispensable role. The core of the smart factory is to use data as the core to support the formulation of production plans, monitor the working status of equipment, and provide objective data support for the upper decision-making layer. In addition, in large-scale chemical plants, it is necessary to finely manage important machinery and equipment from the traditional time dimension and space d...

AI Technical Summary

Problems solved by technology

[0006] Among the above methods, the first method almost entirely relies on manual subjective completion of equipment status data collection, which will introduce errors in two aspects. On the one hand, manual subjective operation observation will introduce errors, and on the other hand, manual input will also introduce errors and go wrong

The second method is due to the wide variety of manufacturers and models, and the data collection interfaces of some foreign manufacturers’ brands are not open, resulting in the need to customize and develop special equipment to collect data, which is difficult and expensive to deploy.

The third method has the same disadvantages as the second method, making deployment and implementation difficult

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