CN210781128U - Image segmentation processing technology-based calf monitoring system for cattle farm - Google Patents
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Abstract
本实用新型公开了一种基于图像分割处理技术的养牛场小牛犊监测系统,包括图像采集设备,图像采集设备通过数据传输线路连接有控制模块;控制模块通过音频线缆连接有蜂鸣报警器,控制模块还连接有显示监测信息的信息显示终端;控制模块包括通过数据传输线路与图像采集设备相连接的基于图像分割处理技术的图像预处理模块,图像预处理模块电连接有控制器;控制器通过音频线缆与蜂鸣报警器相连接,控制器还与信息显示终端相连接;其能够减轻饲养员人工跟踪、连续观察并发现新生小牛犊所耗费的人力和物力,以及避免因为人员疏忽造成小牛犊死亡的状况。
The utility model discloses a monitoring system for calves in a cattle farm based on image segmentation processing technology, which comprises an image acquisition device. The image acquisition device is connected with a control module through a data transmission line; the control module is connected with a buzzer alarm through an audio cable. , the control module is also connected with an information display terminal that displays monitoring information; the control module includes an image preprocessing module based on image segmentation processing technology that is connected to the image acquisition device through a data transmission line, and the image preprocessing module is electrically connected with a controller; The controller is connected with the buzzer alarm through the audio cable, and the controller is also connected with the information display terminal; it can reduce the manpower and material resources expended by the breeders to manually track, continuously observe and find the newborn calves, and avoid the need for human negligence. A condition that caused the death of a calf.
Description
技术领域technical field
本实用新型属于监测系统技术领域,涉及一种基于图像分割处理技术的养牛场小牛犊监测系统。The utility model belongs to the technical field of monitoring systems, and relates to a monitoring system for calves in cattle farms based on image segmentation processing technology.
背景技术Background technique
对于目前规模化、集约化的母牛养殖方式而言,母牛的养殖一般都采用限位栏,且哺乳期小牛犊的死亡率也较高。传统养殖方式中,母牛分娩时间判断主要依赖饲养员的连续观察,人力负担繁重,工作效率低,较容易出现因疏忽而造成小牛犊死亡的状况。因此,实时准确监测母牛分娩状态,及时发现新生小牛犊并及时报警,对提升母牛和小牛犊的健康和养殖水平具有重要意义。现在,网络、物联网、大数据、云计算和人工智能等技术已经成熟,应用于各行各业,然而并没有网络、物联网、大数据、云计算和人工智能等相关技术和基于图像处理技术应用在母牛生产监测及报警方面的报道。For the current large-scale and intensive cow breeding methods, cows are generally raised in limit bars, and the mortality rate of calves during lactation is also high. In the traditional breeding method, the judgment of the time of delivery of cows mainly relies on the continuous observation of the breeder, the labor burden is heavy, the work efficiency is low, and the death of the calf due to negligence is more likely to occur. Therefore, real-time and accurate monitoring of the birth status of cows, timely detection of newborn calves and timely alarming are of great significance to improving the health and breeding level of cows and calves. At present, technologies such as network, Internet of Things, big data, cloud computing and artificial intelligence have matured and are applied to all walks of life. Reports applied to cow production monitoring and alarming.
实用新型内容Utility model content
本实用新型解决的技术问题在于提供一种基于图像分割处理技术的养牛场小牛犊监测系统,其能够减轻饲养员人工跟踪、连续观察并发现新生小牛犊所耗费的人力和物力,以及避免因为人员疏忽造成小牛犊死亡的状况。The technical problem solved by the present invention is to provide a monitoring system for calves in cattle farms based on image segmentation processing technology, which can reduce the manpower and material resources spent by breeders in manual tracking, continuous observation and discovery of newborn calves, and avoid the A condition in which human negligence resulted in the death of a calf.
本实用新型是通过以下技术方案来实现:The utility model is realized through the following technical solutions:
一种基于图像分割处理技术的养牛场小牛犊监测系统,括图像采集设备,图像采集设备通过数据传输线路连接有控制模块;控制模块通过音频线缆连接有蜂鸣报警器,控制模块还连接有显示监测信息的信息显示终端;A monitoring system for calves in a cattle farm based on image segmentation processing technology, comprising image acquisition equipment, the image acquisition equipment is connected with a control module through a data transmission line; the control module is connected with a buzzer alarm through an audio cable, and the control module is also connected with There is an information display terminal for displaying monitoring information;
控制模块包括通过数据传输线路与图像采集设备相连接的基于图像分割处理技术的图像预处理模块,图像预处理模块电连接有控制器;控制器通过音频线缆与蜂鸣报警器相连接,控制器还与信息显示终端相连接。The control module includes an image preprocessing module based on image segmentation processing technology which is connected with the image acquisition device through a data transmission line, and the image preprocessing module is electrically connected with a controller; the controller is connected with the buzzer alarm through an audio cable, and controls The device is also connected to the information display terminal.
进一步的,图像采集设备包括通过固定支架固定在母牛上方的摄像头。Further, the image acquisition device includes a camera fixed above the cow through a fixed bracket.
进一步的,摄像头采用主动红外摄像头。Further, the camera adopts an active infrared camera.
进一步的,数据传输线路采用SYV75类视频同轴电缆。Further, the data transmission line adopts SYV75 video coaxial cable.
进一步的,信息显示终端为移动终端,控制器上电连接有发送信息模块,发送信息模块通过4g网络与移动终端相连接。Further, the information display terminal is a mobile terminal, the controller is electrically connected with an information sending module, and the information sending module is connected with the mobile terminal through a 4G network.
与现有技术相比,本实用新型具有以下有益的技术效果:Compared with the prior art, the utility model has the following beneficial technical effects:
本实用新型提供的一种基于图像分割处理技术的养牛场小牛犊监测系统,其基于图像分割处理技术的图像预处理模块能够对图像采集设备采集到的图像进行处理并识别新生小牛犊,识别新生小牛犊后将信息传递至控制器,控制器控制蜂鸣报警器发出警报及时提醒饲养员,同时控制器还将相关信息显示在信息显示终端上,饲养员根据信息显示终端上的信息能够了解新生小牛犊的情况,为分娩母牛和新生小牛犊提供有效的保护和照料,与传统母牛分娩判断主要依赖饲养员的连续观察相比,本实用新型节省了大量的人力和物力,以及避免因为人员疏忽造成小牛犊死亡的状况。The utility model provides a monitoring system for calves in cattle farms based on image segmentation processing technology. After the calf is born, the information is transmitted to the controller, and the controller controls the buzzer to issue an alarm to remind the breeder in time. At the same time, the controller also displays the relevant information on the information display terminal, and the breeder can understand the information on the information display terminal. The situation of the newborn calf provides effective protection and care for the birthing cow and the newborn calf. Compared with the traditional cow birthing judgment which mainly relies on the continuous observation of the breeder, the utility model saves a lot of manpower and material resources, and avoids A condition in which the calf died due to negligence by personnel.
进一步的,图像采集设备包括通过支架固定在母牛上方的主动红外摄像头,其既能够在白天光线充足的条件下采集图像,也可以晚上无光线的条件下采集图像,其能够不间断的对母牛图像信息进行采集。Further, the image acquisition device includes an active infrared camera fixed above the cow through a bracket, which can collect images not only under the condition of sufficient light during the day, but also under the condition of no light at night, and it can continuously monitor the mother. Cow image information was collected.
进一步的,信息显示终端采用移动终端,控制器通过4g网络与移动终端相连接,饲养人员在饲养场所内听到警报时能够随时随地的获取新生小牛犊图像及分娩母牛的标识号码,从而能够及时的采取相应的措施,避免措施不及时导致小牛犊意外情况的发生。Further, the information display terminal adopts a mobile terminal, and the controller is connected with the mobile terminal through the 4G network. When the breeder hears the alarm in the breeding place, the image of the newborn calf and the identification number of the birthing cow can be obtained anytime and anywhere, so as to be able to Take appropriate measures in a timely manner to avoid untimely measures leading to the occurrence of calf accidents.
附图说明Description of drawings
图1为本实用新型的电连接结构图;Fig. 1 is the electric connection structure diagram of the utility model;
图2为本实施例图像处理流程图;Fig. 2 is the image processing flow chart of this embodiment;
图3为本实施例图像采集设备结构图。FIG. 3 is a structural diagram of an image acquisition device of this embodiment.
其中,1-图像采集设备,11-固定支架,12-外壳,13-主动红外摄像头, 2-控制模块,21-图像预处理模块,22-控制器,3-蜂鸣报警器,4-信息显示终端。Among them, 1-image acquisition device, 11-fixed bracket, 12-shell, 13-active infrared camera, 2-control module, 21-image preprocessing module, 22-controller, 3-buzzer alarm, 4-information Display the terminal.
具体实施方式Detailed ways
下面给出具体的实施例。Specific examples are given below.
如图1所示,一种基于图像分割处理技术的养牛场小牛犊监测系统,包括图像采集设备1,其图像采集设备1通过数据传输线路连接有控制模块2;控制模块2通过音频线缆连接有蜂鸣报警器3,控制模块2还连接有显示监测信息的信息显示终端4。As shown in Figure 1, a monitoring system for calves in a cattle farm based on image segmentation processing technology includes an image acquisition device 1, and the image acquisition device 1 is connected to a control module 2 through a data transmission line; the control module 2 is connected through an audio cable A buzzer 3 is connected, and the control module 2 is also connected with an information display terminal 4 for displaying monitoring information.
对上述需要说明的是,如图3所示,图像采集设备1包括固定连接在母牛上方梁杆上的固定支架11,外壳12固定连接在固定支架11上,然后主动红外摄像头13安装在外壳12内,形成对主动红外摄像头13的保护,由于养牛场母牛都是有限定位置的,每个图像采集设备1能够同时监测多头母牛。主动红外摄像头13采集到的图像再通过SYV75类的视频同轴电缆传输至控制模块2,其具体的是传输至控制模块2的基于图像分割处理技术的图像预处理模块21相连接,采集到的图像在图像预处理模块21内进行图像分割处理,然后再将处理后的信息传输至控制模块2的控制器22内进行判断,控制器22判断识别监测到小牛犊之后,发送指令报警指令给蜂鸣报警器3进行报警,同时饲养人员能够在与控制器22相连接的信息显示终端4上观察出生的小牛犊和具体生产的母牛信息,了解新生小牛犊的情况,进而饲养人员能够及时的采取相应的措施,为分娩母牛和新生小牛犊提供有效的保护和照料,与传统母牛分娩判断主要依赖饲养员的连续观察相比,其节省了大量的人力和物力,以及能够避免因为人员疏忽造成小牛犊死亡的状况。It should be noted that, as shown in FIG. 3 , the image acquisition device 1 includes a
另外,其优化的,信息显示终端4为移动终端,如手机和平板电脑等;在控制器22上电连接向移动终端发送信息的发送信息模块;在移动终端上装载有微信App,微信App上装载有显示采集图像的信息显示小程序;发送信息模块通过4g网络与移动终端相连接,在信息显示小程序显示新生小牛犊图像及分娩母牛的标识号码。In addition, it is optimized that the information display terminal 4 is a mobile terminal, such as a mobile phone and a tablet computer; the
另外,包括图像预处理模块21和控制器22的控制模块2安装在计算机内或者其他能够进行图像分割处理的云计算平台上;如图2所示,对本申请中图像分割处理技术需要说明的是,主动红外摄像头13获取的红外图像传输至图像预处理模块21进行灰度运算,选取Canny算子对图像进行边缘检测,采用Otus算法对图像进行二值变换,应用滑动平均算法和形态学开运算对二值变换的图像进行滤波消噪,预处理后的图像在传输至控制器22内采用全卷积网络分割检测目标,依据给定的分割准则和小波系数选择阈值门限,利用阈值标出图像分割的区域识别新生小牛犊并获取小牛犊图像;其图像分割处理技术已在市场上广泛应用,其能够通过调节相关参数来给定分割准则和阈值门限,在图像分割处理过程中应用的算法在计算机内或云计算平台上完成,其在这里将不再赘述。In addition, the control module 2 including the
本实用新型在使用的过程中,图像分割处理涉及算法可以布置在普通台式计算机上面,信息显示终端4只需要简单的微信小程序,数据传输线路使用普遍使用的同轴电缆即可,只有4g通信网络收费,同时设备本身的成本也低,因此涉及的费用低,利于大量使用;其具体只需要部署摄像头和计算机或云平台即可,因而其部署方便,工作过程中所消耗的功耗主要为计算机或云平台所消耗的功耗,涉及功耗极低,能够满足长周期的使用;图像采集设备1获取养牛场新生小牛犊图像,控制模块2通过图像分割处理算法检测新生小牛犊,一旦检测到目标,将新生小牛犊图片和母牛分娩母牛的标识号码发送信息显示在微信小程序上,同时控制蜂鸣报警器3报警,及时提醒工作人员,因此其还具有高可靠性。In the process of using the present utility model, the algorithm involved in image segmentation processing can be arranged on a common desktop computer, the information display terminal 4 only needs a simple WeChat applet, the data transmission line can use a commonly used coaxial cable, and only 4G communication is required. Network charges, and the cost of the device itself is also low, so the cost involved is low, which is conducive to mass use; it only needs to deploy a camera and a computer or a cloud platform, so its deployment is convenient, and the power consumption during the work process is mainly The power consumption of the computer or cloud platform involves extremely low power consumption, which can meet the long-term use; the image acquisition device 1 obtains the image of the newborn calf in the cattle farm, and the control module 2 detects the newborn calf through the image segmentation processing algorithm. When the target is detected, the picture of the newborn calf and the identification number of the cow giving birth will be sent and displayed on the WeChat applet. At the same time, the buzzer alarm 3 will be controlled to give an alarm to remind the staff in time, so it also has high reliability.
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