Grazing monitoring system and method

Abstract

According to the grazing monitoring system and method combining real-time positioning and the sensor, monitoring of abnormal information can be achieved only by transmitting positioning information and monitoring information and combining algorithm processing, and compared with implementation of camera monitoring in the prior art, the power consumption requirement is greatly reduced; and a monitoring result obtained by combining real-time positioning information, shaking sensor information and pressure sensor information with an algorithm and roadbed judgment is more accurate and reliable. In combination with a three-dimensional GIS map, the terrain and landform of the mountainous area grazing field are well expressed, so that a monitor can quickly and accurately identify the geographic information of the grazing field and make decision feedback; the position of the monitored target is clearer and more accurate; through the use of three-dimensional navigation, the ground-attached navigation path of the mountainous area is more recognizable, and the problem that a two-dimensional GIS map is not applicable to the mountainous area is solved.

Description

technical field [0001] The invention relates to the field of information-based animal husbandry, in particular to a grazing monitoring system and method. Background technique [0002] Mountainous herdsmen often graze their cattle and sheep in alpine pastoral areas. The terrain in the pastoral areas fluctuates greatly. In case of fog, cloudy and other factors, the herdsmen have low visibility and cannot control their livestock in time, causing trouble; some herdsmen may also have other If they can keep abreast of the location information of grazing livestock at all times, herdsmen can withdraw to participate in other production activities. [0003] Some existing livestock smart wearable devices have been able to locate the target livestock, but the positioning based on the two-dimensional map shows that the herdsmen cannot clearly see the specific location of the target livestock on the mountain, and even cannot distinguish whether it is at the bottom of the mountain or on th...

AI Technical Summary

Problems solved by technology

[0002] Herdsmen in mountainous areas often graze their cattle and sheep to alpine pastoral areas. The terrain of the pastoral areas is quite undulating. In foggy days, cloudy days and other factors, the herders have low visibility and cannot control their livestock in time, causing troubles; some herdsmen may have other problems at the same time If the location information of the grazing livestock can be grasped at all times, the herdsmen can get away from participating in other production activities

[0003] Some existing smart wearable devices for livestock can already locate the target livestock, but the location based on the two-dimensional map shows that the herdsmen cannot clearly see the specific location of the target livestock on the mountain, or even distinguish whether it is at the bottom of the mountain or on the mountain. The hillside or the col, in this case, the thief is very likely to cause losses due to the loss of livestock

Traditional smart device positioning tracking usually uses two-dimensional GIS, which has great limitations in mountainous areas and cannot intuitively express the positioning information of the target

[0004] For the monitoring part, the general anomaly monitoring method is carried out by means of positioning and video. It is imperfect to judge the occurrence of anomalies by using the positioning information without changing for a long time alone; it is inevitable to realize anomaly capture through video monitoring. The transmission of a large amount of video data has great requirements for the realization of network and device functions

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