Environment monitoring method and system

Abstract

The embodiment of the invention provides an environment monitoring method and system. The method comprises the following steps: acquiring real-time data corresponding to a current moment and real-timedata corresponding to a previous moment collected by a sensor in a target environment; judging whether the real-time data corresponding to the current moment is abnormal or not; if it is judged thatthe real-time data corresponding to the current moment is abnormal, inputting the real-time data corresponding to each historical moment into the monitoring model, and obtaining prediction data corresponding to the current moment; and monitoring the target environment according to the prediction data corresponding to the current moment. The embodiment of the invention provides the environment monitoring method and system, and the method can achieve the quick judgment of error data and effective data error correction processing when the data of a hardware environment sensor has abnormal data, improves the data collection precision of the sensor, guarantees the effectiveness and continuity of the data, and meets the demands of agricultural production.

Description

technical field [0001] The invention relates to the field of agricultural technology, in particular to an environment monitoring method and system. Background technique [0002] Smart orchard is the main development direction of my country's fruit tree planting industry and the only way to modernize agriculture, and the growth environment sensor is one of the key technologies of smart agriculture. At present, the most widely used type in orchard production and planting is the wireless environment acquisition sensor, which is mainly used for real-time acquisition of air temperature and humidity, soil temperature and humidity, light, wind speed and wind direction and other environmental parameters in the growing environment of fruit trees. Single-point deployment in fixed areas, since most of them are deployed in the wild and powered by solar energy, the sensors mainly use probes and detection circuits to collect environmental data, convert and code the data through the sensor...

AI Technical Summary

Problems solved by technology

[0003] The method proposed in the prior art for error correction of wireless sensor network data by combining convolutional coding technology and interleaving technology requires the realization of convolutional interleaving and convolutional coding error correction functions on sensor nodes. Realized on the Internet, it is greatly affected by the environment where the sensor is located, the scope of application is narrow, and the accuracy of data collection cannot be guaranteed in real time.

[0004] Although the sensor technology is becoming more and more mature now, and the integrated chip also has a fixed shell protection device, due to the use of solar power, solar battery capacity and other factors, in the continuous cloudy and no sunlight environment, the power supply of the device is insufficient, which will lead to data failure of the device. Issues such as continuous uploading;

[0005] In addition, the field environment is complex. Due to various natural factors and other reasons, the sensor data will occasionally be distorted, and large deviations will occur, which will have a great impact on agricultural production such as automatic irrigation and automatic control. Seriously, it will cause data errors. Judgment, bring loss to production

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