山地生态养殖场管理老鼠闯入分析数据

随着人们生活质量的极大改善，山地生态养殖的家畜家禽已经成为市场上备受欢迎的品种,同时也备受人们的喜爱。物联网技术的发展也为养殖场所提供了更完善的安防监管效果，养殖场管理老鼠闯入分析数据，是基于传感器和高清摄像头的养殖安防管理系统采集日常监测数据，包括识别时间、区域位置、养殖场、猪舍编号、猪数量（头）、鸡数量（羽）、设备编号、告警类型等数据，实时监测日常养殖场内异常闯入情况，在发生突发状况时，快速了解现场状况，定位闯入所在位置，及时处理，保障养殖场的动物日常生存。吕梁地区黄土高原老鼠较多，且为群体活动，会对养殖食物等构成威胁。定期对告警数据设备抓图所反映的现场情况进行分析，方便管理人员对老鼠闯入行为进行日常监管，预防发生重大的养殖安全事件，为养殖设备维护和管理提供支持；根据一段时间内告警的数据规模、现场图片、时间等，帮助区域内的动物养殖企业了解该地的具体情况，研判市场营销和生产投入计划；公开报道一段时间内告警数据，可以掌握区域内的野生动物生态，为合地区管理和治理野生动物危险发生做参考预计。1、从基于传感器和高清摄像头的养殖安防管理系统采集日常监测数据，包括识别时间、区域位置、养殖场、猪舍编号、存栏（头）、设备编号、告警类型、抓取图片等数据。2、首先对敏感信息进行加密处理，对数据进行加工。基于传感器和高清摄像头识别，在识别到有异常闯入时，开启摄像头拍摄，并将图片和视频段上传到云服务器。通过基于深度学习神经网络训练的目标检测算法进行图片检测，输出图片相关属性，图片属性包含type、score，对输出的type进行识别，若目标类型type=13，表示有老鼠闯入，系统会向平台发送闯入告警，需要进行人工干预。管理人员就能快速了解现场状况，定位闯入所在位置，及时处理，保障养殖场的动物日常生存。

With the substantial improvement of people's living quality, livestock and poultry raised through mountainous ecological breeding have become highly popular and well-received products in the market. The development of Internet of Things (IoT) technology has also enabled more robust security supervision for breeding facilities. The data used for analyzing rat intrusions in breeding farm management is collected by a breeding security management system equipped with sensors and high-definition (HD) cameras. The collected daily monitoring data includes recognition time, regional location, breeding farm name, pigsty number, pig count (unit: head), chicken count (unit: feather), equipment number, alarm type, and other relevant information. This system performs real-time monitoring of abnormal intrusions in daily breeding operations. When emergencies occur, managers can quickly understand the on-site situation, locate the intrusion point, and handle the issue timely to ensure the daily survival of animals in the breeding farms.

There are a large number of rats in the Lvliang Area of the Loess Plateau, and they often move in groups, posing a threat to breeding feed and other resources. Regular analysis of the on-site situation reflected by the captured images from alarm data equipment facilitates daily supervision of rat intrusion behaviors by managers, helps prevent major breeding safety incidents, and provides support for breeding equipment maintenance and management. Additionally, based on the scale of alarm data, on-site images, time and other relevant information over a certain period, animal breeding enterprises in the region can gain insights into the local specific conditions, and formulate and evaluate marketing and production investment plans. Publicly reporting alarm data over a certain period can help grasp the local wildlife ecology, providing references for the regional management and governance of wildlife hazard occurrences, as well as relevant prediction support.

1. Daily monitoring data collected from the breeding security management system based on sensors and high-definition cameras includes recognition time, regional location, breeding farm name, pigsty number, on-hand livestock inventory (unit: head), equipment number, alarm type, captured images and other relevant data.
2. First, sensitive information is encrypted and data preprocessing is conducted. Based on the recognition results from sensors and high-definition cameras, when an abnormal intrusion is detected, the camera is activated to capture images and video clips, which are then uploaded to the cloud server. Object detection is performed using an object detection algorithm trained on deep learning neural networks, and the image attributes including type and score are output. The target type is identified: if the target type equals 13, it indicates a rat intrusion, and the system will send an intrusion alarm to the platform, requiring manual intervention. Managers can then quickly understand the on-site situation, locate the intrusion location, and handle the issue timely to ensure the daily survival of animals in the breeding farms.

搜集汇总

数据集介绍

特点

该数据集为山地生态养殖场管理老鼠闯入分析数据，包含9955条记录，每日更新，用于实时监测养殖场内的老鼠闯入情况，保障动物安全和管理效率。