阅读说明：本技术 一种基于物联网的猪舍环境监控系统 (Pig house environmental monitoring system based on thing networking ) 是由 任明乐 赵国娥 李玉斌 唐璐 滑鹏欢 杨跃太 刘广义 申超 于 2019-10-24 设计创作，主要内容包括：本发明公开了一种基于物联网的猪舍环境监控系统,包括巡检机器人、主控制器、远程服务器、各个控制终端以及设置在每一头猪身上的编号唯一的RFID标签,巡检机器人安装在猪舍上方,用于采集猪舍内的视频图像、温湿度参数以及空气质量参数,并将采集到的参数经无线方式实时发送到主控制器,主控制器接收并完成数据的处理分析,实现猪舍当前环境的评估、每一头猪生长情况的计算以及状态的评估,并基于处理分析的结果输出相应的控制命令至各个控制终端,实现猪舍环境调控设备、巡检机器人的工作状态的修改。本发明实现了猪舍内环境全方位的检测。(The invention discloses an Internet of things-based pigsty environment monitoring system which comprises an inspection robot, a main controller, a remote server, control terminals and an RFID tag with a unique serial number, wherein the RFID tag is arranged on each pig, the inspection robot is arranged above a pigsty and is used for acquiring video images, temperature and humidity parameters and air quality parameters in the pigsty and sending the acquired parameters to the main controller in a wireless mode in real time, the main controller receives and completes processing and analysis of data, evaluation of the current environment of the pigsty, calculation of the growth condition of each pig and evaluation of the state of each pig are realized, and a corresponding control command is output to each control terminal based on the result of the processing and analysis, so that modification of the working state of pigsty environment regulating and controlling equipment and the inspection robot is realized. The invention realizes the omnibearing detection of the environment in the pigsty.)

1. The utility model provides a pig house environmental monitoring system based on thing networking which characterized in that: the pig house environment monitoring system comprises an inspection robot, a main controller, a remote server, control terminals and RFID tags with unique serial numbers, wherein the inspection robot is arranged above a pig house and used for collecting video images, temperature and humidity parameters and air quality parameters in the pig house and sending the collected parameters to the main controller in real time in a wireless mode; the main controller also receives instructions from the human-computer interaction interface and the mobile phone APP, and sends the instructions to each control terminal after the instructions are converted and processed by the relevant protocol of the gateway, so that the working states of the environment regulation and control equipment and the inspection robot are modified.

2. The internet-of-things-based pigsty environment monitoring system of claim 1, wherein: the inspection robot adopts a rail type inspection robot, a rail is installed above a pigsty, and the inspection robot realizes inspection along the rail.

3. The internet-of-things-based pigsty environment monitoring system of claim 1, wherein: the inspection robot is provided with a 360-degree panoramic camera, a temperature and humidity sensor, an ammonia sensor, a hydrogen sulfide sensor and a carbon dioxide sensor through the snake-shaped robot, and can realize the acquisition of the data of the pigsty in the whole range.

4. The internet-of-things-based pigsty environment monitoring system of claim 1, wherein: the main controller is internally provided with:

the image extraction module is used for calling a video frame taking script and acquiring an image at intervals of a certain number of frames;

the image preprocessing module is used for respectively carrying out image filtering and image enhancement preprocessing by adopting bilateral filtering and histogram equalization; carrying out image binarization processing by adopting an iterative adaptive threshold segmentation method;

the abnormal point detection module is used for removing small-area noise based on the morphological region characteristics of the connected components and realizing the detection of abnormal points in the binary image, mainly comprises red secretion points in excrement, pigskin abnormal points, piglip abnormal points, hoof abnormal points and canthus abnormal points and is used for realizing the timely discovery of the swine diseases;

the dirt detection module in the pigsty is used for estimating the dirt coverage volume by communicating the length-width ratio of the component circumscribed rectangle based on the image subjected to binarization processing to monitor the dirt condition in the pigsty;

the pig growth condition calculation module is used for recognizing the RFID label based on the image subjected to binarization processing and confirming the identity information of the pig, then, the length-width ratio of a connected component circumscribed rectangle is used for estimating the volume of the pig, the difference between the calculation result of the time and the calculation result of the last time is solved, and a pig growth condition result is output;

and the pigsty internal environment evaluation module is used for outputting a corresponding evaluation result according to the received gas acquisition parameters, the temperature and humidity sensor and the detection result of the pigsty internal dirt detection module.

5. The internet-of-things-based pigsty environment monitoring system of claim 1, wherein: still including bearing in temperature sensor and the attitude sensor on the RFID label for realize the timing collection of pig body temperature and attitude information, and send the information of gathering to main control unit through wireless mode, be equipped with a pig state evaluation module in the main control unit, be used for according to the pig body temperature data received, attitude information, the state evaluation result of pig growth condition calculation module's calculation result output pig, the evaluation result includes: normal growth, slow growth, growth retardation, and morbidity.

6. The internet-of-things-based pigsty environment monitoring system of claim 1, wherein: the main controller is internally provided with:

and the GSM communication module is used for starting when the results of the piggery internal dirt detection module, the piggery internal environment evaluation module, the abnormal point detection module and the pig state evaluation module fall into a preset threshold, calling a corresponding short message template and finishing the editing and sending of the early warning short message.

7. The internet-of-things-based pigsty environment monitoring system of claim 1, wherein: the main controller is internally provided with:

the data sorting module is used for sorting the pig breeding data by taking the RFID label of each pig as a reference;

and the data storage module is used for storing all historical data in the monitoring process.

Technical Field

The invention relates to the technical field of breeding, in particular to a pigsty environment monitoring system based on the Internet of things.

Background

The pig industry in China is an important industry in agriculture in China and plays an important role in guaranteeing safe supply of meat and food, the traditional pig industry is changed into the modern pig industry in China, and the pig industry in China is remarkably changed in breeding mode, regional layout, production mode and production capacity. The future pig breeding development direction is mainly in 4 aspects of moderate scale breeding, intelligent pig industry, animal welfare, low carbon emission and the like.

The pigsty is a material basic condition necessary for developing pig raising production. The scientific rationality of the pigsty environment directly influences the normal growth and production of the swinery, is closely related to the disease control, pollution control and the like of the swinery, and is directly related to the economic benefit of pig raising production.

At present, the mode that current pig house environmental monitoring system generally adopted air and temperature and humidity to detect carries out the control of pig house environment, and the mode of arranging of sensor is fixed, and the ubiquitous function is single, monitoring range is fixed, defects such as later maintenance difficulty.

Disclosure of Invention

In order to solve the problems, the invention provides an Internet of things-based pigsty environment monitoring system which can realize all-around monitoring of the environment in a pigsty.

In order to achieve the purpose, the invention adopts the technical scheme that:

a pigsty environment monitoring system based on the Internet of things comprises an inspection robot, a main controller, a remote server, control terminals and RFID tags with unique serial numbers, wherein the RFID tags are arranged on each pig body; the main controller also receives instructions from the human-computer interaction interface and the mobile phone APP, and sends the instructions to each control terminal after the instructions are converted and processed by the relevant protocol of the gateway, so that the working states of the environment regulation and control equipment and the inspection robot are modified.

Furthermore, the inspection robot adopts a rail type inspection robot, a rail is installed above the pigsty, and the inspection robot realizes inspection along the rail.

Furthermore, the inspection robot is provided with a 360-degree panoramic camera, a temperature and humidity sensor, an ammonia sensor, a hydrogen sulfide sensor and a carbon dioxide sensor through the snake-shaped robot, so that the whole range data of the pigsty can be acquired.

Further, the main controller is internally provided with:

the image extraction module is used for calling a video frame taking script and acquiring an image at intervals of a certain number of frames;

the image preprocessing module is used for respectively carrying out image filtering and image enhancement preprocessing by adopting bilateral filtering and histogram equalization; carrying out image binarization processing by adopting an iterative adaptive threshold segmentation method;

the abnormal point detection module is used for removing small-area noise based on morphological region characteristics of the connected components and realizing detection of abnormal points in a binary image, mainly comprises red secretion points in excrement, pigskin abnormal points, piglip abnormal points, hoof abnormal points, canthus abnormal points and the like and is used for realizing timely discovery of swine diseases;

the dirt detection module in the pigsty is used for estimating the dirt coverage volume by communicating the length-width ratio of the component circumscribed rectangle based on the image subjected to binarization processing to monitor the dirt condition in the pigsty;

the pig growth condition calculation module is used for recognizing the RFID label based on the image subjected to binarization processing and confirming the identity information of the pig, then, the length-width ratio of a connected component circumscribed rectangle is used for estimating the volume of the pig, the difference between the calculation result of the time and the calculation result of the last time is solved, and a pig growth condition result is output;

and the pigsty internal environment evaluation module is used for outputting a corresponding evaluation result according to the received gas acquisition parameters, the temperature and humidity sensor and the detection result of the pigsty internal dirt detection module.

Further, the pig health monitoring system further comprises a temperature sensor and an attitude sensor which are internally loaded on the RFID tag and used for realizing the timing collection of the body temperature and the attitude information of the pig and sending the collected information to the main controller in a wireless mode, a pig state evaluation module is arranged in the main controller and used for outputting the state evaluation result of the pig according to the received calculation results of the body temperature data, the attitude information and the pig growth condition calculation module of the pig, and the evaluation result comprises: normal growth, slow growth, growth retardation, and morbidity.

Further, the main controller is internally provided with:

and the GSM communication module is used for starting when the results of the piggery internal dirt detection module, the piggery internal environment evaluation module, the abnormal point detection module and the pig state evaluation module fall into a preset threshold, calling a corresponding short message template and finishing the editing and sending of the early warning short message.

Further, the main controller is internally provided with:

the data sorting module is used for sorting the pig breeding data by taking the RFID label of each pig as a reference;

and the data storage module is used for storing all historical data in the monitoring process.

The invention has the following beneficial effects:

1) based on the arrangement of monitoring end is carried out to suspension type track inspection robot, when not taking up ground space, the position of whole monitoring end can be adjusted as required, has made things convenient for the maintenance in later stage greatly to and monitoring range's adjustable.

2) The environmental data in the pigsty are collected simultaneously based on the sensor and the camera, the former is used for collecting air, temperature and humidity data, swinery activity state data and body temperature data, and the latter is used for collecting excrement and swinery appearance data, so that the omnibearing detection of the environment in the pigsty is realized.

3) The system has an early warning function, and can find the abnormality of the swinery in time, thereby reducing loss.

4) Each pig carries a group of breeding growth parameters, the data is clear at a glance, and the user can clearly know the growth condition of each pig.

Drawings

Fig. 1 is a system block diagram of a pigsty environment monitoring system based on the internet of things in the embodiment of the invention.

Detailed Description

The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.

As shown in fig. 1, an embodiment of the present invention provides an internet-of-things-based pigsty environment monitoring system, which includes an inspection robot, a main controller, a remote server, control terminals, and an RFID tag with a unique serial number, which is disposed on each pig, wherein the inspection robot is installed above the pigsty, is used for collecting video images, temperature and humidity parameters and air quality parameters in the pigsty, and sending the collected parameters to the main controller in real time in a wireless mode, the main controller receives and completes the processing and analysis of data, the evaluation of the current environment of the pigsty, the calculation of the growth condition of each pig and the evaluation of the state are realized, outputting corresponding control commands to each control terminal based on the results of processing and analysis, realizing the modification of the working states of the pigsty environment regulation and control equipment and the inspection robot, and sending the received data and the results of processing and analysis to a remote server for storage; the main controller also receives instructions from the human-computer interaction interface and the mobile phone APP, and sends the instructions to each control terminal after the instructions are converted and processed by the relevant protocol of the gateway, so that the working states of the environment regulation and control equipment and the inspection robot can be modified, and the mobile phone APP can check the data in the permission through accessing the remote server after registering and logging in.

In this embodiment, the robot is patrolled and examined to patrol and examine the robot and adopt the rail mounted to patrol and examine the robot, and the track is installed in the top of pig house, and the robot is patrolled and examined along the realization of track to patrol and examine, it has 360 degrees panoramic camera, temperature and humidity sensor, ammonia sensor, hydrogen sulfide sensor, carbon dioxide sensor to carry through snake shape robot on the robot to patrol and examine, can realize the collection of pig house full range data, and snake shape robot realizes keeping away the barrier and crossing the barrier of self based on radar and two mesh vision sensor, all installs attitude sensor on 360 degrees panoramic camera, temperature and humidity sensor, ammonia sensor, hydrogen sulfide sensor, the carbon dioxide sensor.

In this embodiment, the main controller is provided with:

the image extraction module is used for calling a video frame taking script and acquiring an image at intervals of a certain number of frames;

the image preprocessing module is used for respectively carrying out image filtering and image enhancement preprocessing by adopting bilateral filtering and histogram equalization; carrying out image binarization processing by adopting an iterative adaptive threshold segmentation method;

the abnormal point detection module is used for removing small-area noise based on morphological region characteristics of connected components and realizing detection of abnormal points in a binary image, and adopts an ssd target detection algorithm, mainly comprises red secretion points in excrement, skin abnormal points (such as plaques), lip abnormal points, hoof abnormal points (such as pimples or erythema), canthus abnormal points (such as a large amount of mucus or purulent secretion in two eyes) and the like, and is used for realizing timely discovery of the swine disease;

the pigsty interior dirt detection module is used for estimating the covering volume of dirt (excrement and the like) by connecting the length-width ratio of the component external rectangle based on the image subjected to binarization processing to monitor the condition of the dirt (excrement and the like) in the pigsty;

the pig growth condition calculation module is used for recognizing the RFID label based on the image subjected to binarization processing and confirming the identity information of the pig, then, the length-width ratio of a connected component circumscribed rectangle is used for estimating the volume of the pig, the difference between the calculation result of the time and the calculation result of the last time is solved, and a pig growth condition result is output;

the pigsty internal environment evaluation module is used for inputting the received gas acquisition parameters, the temperature and humidity sensor and the detection results of the pigsty internal dirt detection module into a preset BP neural network model and outputting corresponding evaluation results;

the GSM communication module is used for starting when the results of the piggery internal dirt detection module, the piggery internal environment evaluation module, the abnormal point detection module and the pig state evaluation module fall into a preset threshold, calling a corresponding short message template and finishing the editing and sending of the early warning short message;

the data sorting module is used for sorting the pig breeding data by taking the RFID label of each pig as a reference;

the data storage module is used for storing all historical data in the monitoring process;

and the central processing unit is used for coordinating all the modules to realize work.

In this embodiment, the pig health monitoring system further includes a temperature sensor and an attitude sensor built in the RFID tag, and is configured to collect pig body temperature and attitude information at regular time, and send the collected information to the main controller in a wireless manner, where a pig state evaluation module is provided in the main controller, and is configured to output a state evaluation result of the pig according to the received calculation results of the pig body temperature data, the attitude information, and the pig growth condition calculation module, where the evaluation result includes: normal growth, slow growth, growth retardation, and morbidity. The pig state evaluation module adopts a BP neural network model.

In this embodiment, pig house environment regulation and control equipment is including installing heating equipment, refrigeration plant, ventilation equipment and the clear excrement equipment in the pig house.

The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.