CN211532340U - Monitoring system for positioning fence sows - Google Patents
Monitoring system for positioning fence sows Download PDFInfo
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- CN211532340U CN211532340U CN201921606887.3U CN201921606887U CN211532340U CN 211532340 U CN211532340 U CN 211532340U CN 201921606887 U CN201921606887 U CN 201921606887U CN 211532340 U CN211532340 U CN 211532340U
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Abstract
The embodiment of the utility model provides a monitoring system of location fence sow, color image, depth map and the heat distribution image of sow are gathered through data acquisition device to according to the sow the color image depth map with the heat distribution image acquires the body chi body condition, weight and the body temperature of sow, and according to the sow body chi body condition, weight and body temperature acquire the growth health status of sow and grade. The embodiment of the utility model provides an integrated machine vision, depth sensor, thermal imaging sensor, thing networking, signal processing, three-dimensional stereo scanning and intelligent information processing etc. including sow physiological sign monitoring, body size parameter monitoring, health status monitoring, breed environmental evaluation etc. can realize timely, accurate, quick and automatic, intelligent information acquisition and the monitoring of location fence sow body condition information and environmental information.
Description
Technical Field
The utility model relates to a poultry technical field especially relates to a monitoring system of location fence sow.
Background
The production of live pigs is an important component of animal husbandry, and sows in large-scale pig farms and commercial pig breeding processes in China usually adopt a positioning fence feeding mode. In the breeding production of sows in a positioning fence, the body condition, physiological indexes and breeding environment parameters of sows are important factors influencing the production performance and the reproductive performance, and the method has important practical significance for timely finding and making evaluation and early warning when the body condition or environment of the sows is abnormal, and in addition, the daily production file record of the growth condition of the sows has important value for fine breed breeding and breed tracing.
At present, the inspection method for health conditions and breeding conditions of sows in a positioning fence mainly comprises manual observation, environmental sensor, video monitoring and the like, and also comprises an inspection platform mode using a self-navigation mobile platform. The manual inspection method is limited by factors such as personnel, field and population quantity, the aim of accurate, quick and timely monitoring is often difficult to achieve, the labor cost is high, the requirement on observers is high, the working intensity is high, real-time uninterrupted inspection cannot be realized, abnormal conditions are not found timely, and the labor cost investment in the large-scale cultivation management process is large; the sensor mode can only collect environmental indexes generally and can not directly reflect the physiological and body condition information of the breeding pigs in real time; video monitoring is passive shooting generally, is limited by shooting position and angle, is difficult to realize accurate monitoring of all-round coverage, generally needs manual video monitoring, is difficult to meet the requirements of monitoring comprehensiveness and accuracy, and is difficult to obtain better monitoring precision and monitoring effect. At present, because beasts and birds breed intelligence inspection device from navigation moving platform (AGV) generally need rely on system map, navigation, keep away the barrier etc. need carry on laser radar, navigation device module, and is relatively poor to the complex environment adaptability of plant on the one hand, and moving platform adopts the mode of charging, and the daily use of system and maintenance face increase pressure, and on the other hand moving platform cost is higher. In addition, the existing mobile platform inspection system does not provide an intelligent model of body conditions, physiological indexes and inspection decisions, only realizes a platform device, and still has a plurality of limitations in the practical application of intelligent inspection.
Therefore, at present, the monitoring modes of the sows in the positioning fences have the problems that the labor or capital cost investment is overlarge, the complex environment adaptability of a farm is poor, the integration level is not high, and the requirements of higher and higher intelligent routing inspection cannot be met.
SUMMERY OF THE UTILITY MODEL
In order to solve the monitoring mode of present location fence sow, there is artifical or fund cost input too big, and relatively poor, the integrated level to the complex environment adaptability of plant is not high, can't adapt to the problem that the requirement was patrolled and examined to higher and higher intelligence, the embodiment of the utility model provides a location fence sow's monitoring system.
An embodiment of the utility model provides a monitoring system of location fence sow, this system includes: the sow positioning device comprises a data acquisition device, a U-shaped groove pulley and a closed-loop guide rail, wherein the closed-loop guide rail is erected right above a sow positioning fence, and the data acquisition device is connected with the closed-loop guide rail through the U-shaped groove pulley and moves along the closed-loop guide rail; the data acquisition device comprises a data processing module, and an environmental information acquisition module, a color image acquisition module, a depth image acquisition module and a thermal distribution image acquisition module which are respectively connected with the data processing module; the system comprises an environment information acquisition module, a color image acquisition module, a depth image acquisition module and a heat distribution image acquisition module, wherein the environment information acquisition module is used for acquiring environment information of a monitoring area, and the color image acquisition module, the depth image acquisition module and the heat distribution image acquisition module are respectively used for acquiring a color image, a depth image and a heat distribution image of a sow; the data processing module is used for acquiring the body size and body condition, the weight and the body temperature of the sow according to the color image, the depth image and the heat distribution image, and acquiring the growth health condition score of the sow according to the body size and body condition, the weight, the body temperature and the environmental information of the sow.
Preferably, the data acquisition device comprises a data processing module, and an environmental information acquisition module, a color image acquisition module, a depth image acquisition module and a thermal distribution image acquisition module which are respectively connected with the data processing module; the system comprises an environment information acquisition module, a color image acquisition module, a depth image acquisition module and a heat distribution image acquisition module, wherein the environment information acquisition module is used for acquiring environment information of a monitoring area, and the color image acquisition module, the depth image acquisition module and the heat distribution image acquisition module are respectively used for acquiring a color image, a depth image and a heat distribution image of a sow; the data processing module is respectively used for acquiring three-dimensional point cloud data of the sow according to the color image and the depth image, acquiring the body size and body condition of the sow according to the color image or the depth image and the three-dimensional point cloud data, extracting feature points and contour lines of the sow according to the body size and body condition and the three-dimensional point cloud data, estimating the weight of the sow according to the feature points and contour lines and the three-dimensional point cloud data, and estimating the body temperature of the sow according to the color image and the heat distribution image.
Preferably, the environmental information includes temperature, humidity, CO2Content and NH3And the depth image acquisition module adopts a Kinect sensor, and the thermal distribution image acquisition module adopts a Flir thermal imaging sensor.
Preferably, the data acquisition device further comprises a wireless module, and the data processing module is connected with the server through the wireless module.
Preferably, the system further comprises two pairs of U-shaped groove pulleys, one pair of U-shaped groove pulleys is fixedly arranged on one side of the data acquisition device, and the other pair of U-shaped groove pulleys is fixedly arranged on the other side of the data acquisition device; one of the two pairs of U-shaped groove pulleys is a driving wheel, and the other pair is a driven wheel.
Preferably, the system further comprises a power supply sliding contact line and a power supply sliding block electric brush, the power supply sliding contact line is arranged right above the closed-loop guide rail, the power supply sliding block electric brush is fixedly connected with the data acquisition device, and the power supply sliding block electric brush slides along the power supply sliding contact line to supply power to the data acquisition device.
Preferably, the system further comprises a cleaning device and a resetting and calibrating device, the cleaning device and the resetting and calibrating device are respectively arranged at two different fixing positions of the closed-loop guide rail, the resetting and calibrating device is used for stopping the data acquisition device, and the cleaning device is used for cleaning the data acquisition device.
Preferably, the body size and body condition, the body weight and the body temperature of the sow are obtained according to the color image, the depth image and the heat distribution image of the sow, and the method specifically comprises the following steps: acquiring three-dimensional point cloud data of the sow by utilizing the color image and the depth image; calculating the body size and body condition of the sow according to the color image or the depth image and the three-dimensional point cloud data; carrying out point cloud layering on the three-dimensional point cloud data according to the body size body condition, extracting a layer curve, and extracting body type feature points of the sow according to the layer curve; acquiring the weight of the sow according to the three-dimensional point cloud data and the body size and body condition; and acquiring the body temperature of the sow according to the color image and the heat distribution image.
Preferably, the obtaining of the score of the growth health condition of the sow according to the environmental information, the body size and body condition, the body weight and the body temperature of the sow specifically comprises the following steps: inputting feeding data of the sow into a sow breeding growth model, and outputting body size body conditions, body weight and body temperature corresponding to the feeding data, wherein the feeding data comprises feeding time, feeding amount and environment data of a monitoring area; wherein the sow breeding growth model is obtained after training according to the first sample feeding data, the first sample body size condition, the weight and the body temperature; inputting the body size and body condition, the weight and the body temperature of the sow into a physiological health intelligent analysis model of the sow, and outputting a growth health condition score corresponding to the body size and body condition, the weight and the body temperature; and the intelligent analysis model of the physiological health of the sow is obtained according to the body size and body condition of the second sample, the weight and the body temperature and the grading training of the growth health condition of the second sample.
The embodiment of the utility model provides a monitoring system of location fence sow, color image, depth map and the heat distribution image of sow are gathered through data acquisition device to according to the color image of sow, depth map and heat distribution image, acquire the body size body condition, weight and the body temperature of sow, and according to the body size body condition, weight and the body temperature of sow, acquire the growth health status score of sow. The embodiment of the utility model provides an integrated machine vision, depth sensor, thermal imaging sensor, thing networking, signal processing, three-dimensional stereo scanning and intelligent information processing etc. including sow physiological sign monitoring, body size parameter monitoring, health status monitoring, breed environmental evaluation etc. can realize timely, accurate, quick and automatic, intelligent information acquisition and the monitoring of location fence sow body condition information and environmental information.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a general schematic diagram of a monitoring system for a gilt of a positioning fence according to an embodiment of the present invention;
fig. 2 is a specific schematic diagram of a monitoring system for a gilt of a positioning fence according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a data acquisition device according to an embodiment of the present invention;
fig. 4 is a schematic processing flow diagram of a data processing module according to an embodiment of the present invention;
wherein:
1. guide rail bracket 2, U-shaped groove pulley 3 and driving pulley support
4. Synchronous belt 5, closed loop guide rail 6 and power supply sliding contact line
7. Power supply sliding block electric brush 8, driven pulley support 9 and data acquisition device
10. Numbered indication board 11, sow positioning column 12 and pigsty
13. Wireless module 14, belt cleaning device 15, calibration equipment resets.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative efforts belong to the protection scope of the present invention.
With the development of modern informatization and automation technical means, particularly the deep application of sensors, the Internet of things and computer technology in the agricultural field, brand new technical means and practical tools are brought to the fields of traditional livestock and poultry animal character parameter acquisition, measurement and analysis, animal behavior, vital sign monitoring and the like, accurate, efficient, rapid and timely monitoring of vital signs of breeding sows in a location fence is realized by constructing an autonomous inspection monitoring system and device based on machine vision, various sensors and the Internet of things, real-time and accurate data support is provided for the production of breeding pigs, so that the high-yield and stable-yield capacity of the breeding pig industry and even the animal husbandry is improved, and the system has great practical significance for promoting the rapid development of modern agriculture.
Fig. 1 is the utility model discloses location fence sow's monitoring system's overall schematic diagram, fig. 3 are the utility model discloses data acquisition device's structural schematic diagram, as shown in fig. 1 and fig. 3, the embodiment of the utility model provides a location fence sow's monitoring system is provided, this system includes: the sow positioning device comprises a data acquisition device 9, a U-shaped groove pulley 2 and a closed-loop guide rail 5, wherein the closed-loop guide rail 5 is erected right above a sow positioning fence 11, and the data acquisition device 9 is connected with the closed-loop guide rail 5 through the U-shaped groove pulley 2 and moves along the closed-loop guide rail 5; the data acquisition device 9 comprises a data processing module, and an environmental information acquisition module, a color image acquisition module, a depth image acquisition module and a thermal distribution image acquisition module which are respectively connected with the data processing module; the system comprises an environment information acquisition module, a color image acquisition module, a depth image acquisition module and a heat distribution image acquisition module, wherein the environment information acquisition module is used for acquiring environment information of a monitoring area, and the color image acquisition module, the depth image acquisition module and the heat distribution image acquisition module are respectively used for acquiring a color image, a depth image and a heat distribution image of a sow; the data processing module is used for acquiring the body size and body condition, the weight and the body temperature of the sow according to the color image, the depth image and the heat distribution image, and acquiring the growth health condition score of the sow according to the body size and body condition, the weight, the body temperature and the environmental information of the sow.
Specifically, erect closed loop guide 5 directly over sow fence 11, install data acquisition device 9 on closed loop guide 5 and can remove along closed loop guide 5 through U type recess pulley 2 to utilize data acquisition device 9 to monitor the sow. The data acquisition device 9 can collect the color image, the depth image and the heat distribution image of the sow from the position right above the sow, and through analyzing the color image, the depth image and the heat distribution image of the sow, the body size body condition of the sow including the body length, the body width and the body height of the sow and the body weight and the body temperature of the sow are obtained, meanwhile, the growth health condition of the sow is scored according to the environmental information, the body size body condition, the body weight and the body temperature of the sow, and therefore the growth health condition of the sow is quantitatively evaluated and analyzed.
The embodiment of the utility model provides an integrated machine vision, depth sensor, thermal imaging sensor, thing networking, signal processing, three-dimensional stereo scanning and intelligent information processing etc. including sow physiological sign monitoring, body size parameter monitoring, health status monitoring, breed environmental evaluation etc. can realize timely, accurate, quick and automatic, intelligent information acquisition and the monitoring of location fence sow body condition information and environmental information.
Based on above-mentioned embodiment, fig. 4 is the utility model discloses data processing module's processing flow schematic diagram, as shown in fig. 4, data processing module obtains sow's body size body condition, weight and body temperature according to sow's color image, depth map and heat distribution image, specifically includes: acquiring three-dimensional point cloud data of the sow by utilizing the color image and the depth image; calculating the body size and body condition of the sow according to the color image or the depth image and the three-dimensional point cloud data; carrying out point cloud layering on the three-dimensional point cloud data according to the body size body condition, extracting a layer curve, and extracting body type feature points of the sow according to the layer curve; acquiring the weight of the sow according to the three-dimensional point cloud data and the body size and body condition; and acquiring the body temperature of the sow according to the color image and the heat distribution image.
Specifically, the environment information acquisition module is used for acquiring the environment information of a monitoring area, the color image acquisition module is used for acquiring a color image of the sow, the depth image acquisition module is used for acquiring a depth image of the sow, and the heat distribution image acquisition module is used for acquiring a heat distribution image of the sow.
Further, a data processing module is used for reconstructing a three-dimensional model of the sow in the designated range positioning fence according to the depth image, extracting three-dimensional point cloud data of the sow in the designated range positioning fence according to the sow profile of the color image, then calculating the body size body condition of the sow according to the color image or the depth image and the three-dimensional point cloud data, wherein the body size body condition comprises the body length, the body width and the body height of the sow, extracting a layer curve from the three-dimensional point cloud data according to main parameters of the body size body condition, calculating the curvature of the layer curve, extracting characteristic points of the body shape of the sow, including a head point, a front shoulder point, a back hip point and a tail point, extracting contour lines of the sow, including a back ridge line, a front shoulder contour line and a back hip contour line, estimating the body weight of the sow according to the characteristic points, the contour lines and the three-dimensional point cloud data, and estimating the.
Based on the above embodiment, as shown in fig. 4, the data processing module obtains the growth health status score of the sow according to the environmental information, the body size and body condition of the sow, and specifically includes: inputting feeding data of the sow into a sow breeding growth model, and outputting body size body conditions, body weight and body temperature corresponding to the feeding data, wherein the feeding data comprises feeding time, feeding amount and environment data of a monitoring area; wherein the sow breeding growth model is obtained after training according to the first sample feeding data, the first sample body size condition, the weight and the body temperature; inputting the environment information and the body size and body condition, weight and body temperature of the sow into an intelligent physiological health analysis model, and outputting a growth health condition score corresponding to the body size and body condition, the weight and the body temperature; the intelligent analysis model of the physiological health of the sow is obtained according to the environmental information, the body size and body condition, the weight and the body temperature of the second sample and the grading training of the growth health condition of the second sample.
Specifically, based on the multi-factor intelligent analysis neural network knowledge, the data processing module trains by using first sample feeding data and first sample body scale body conditions, weight and body temperature to obtain a sow breeding growth model, then the feeding data of the sow is input into the sow breeding growth model, and the body scale body conditions, the weight and the body temperature corresponding to the feeding data are output.
Similarly, the data processing module utilizes the second sample environment information, the body size body condition, the weight and the body temperature and the second sample growth health condition score to train to obtain the sow physiological health intelligent analysis model, and then inputs the environment information and the body size body condition, the weight and the body temperature of the sow into the sow physiological health intelligent analysis model, so that the growth health condition score corresponding to the body size body condition, the weight and the body temperature is output.
Fig. 2 is a specific schematic view of the monitoring system of the sow in the positioning fence according to the embodiment of the present invention, as shown in fig. 2, the closed-loop guide rail 5 is erected above the sow positioning fence 11 through the guide rail bracket 1.
It should be noted that the environmental information includes temperature, humidity, and CO2Content and NH3And the depth image acquisition module adopts a Kinect sensor, and the thermal distribution image acquisition module adopts a Flir thermal imaging sensor.
Further, as shown in fig. 2, each pigsty 12 is provided with a numbering sign 10, and the data acquisition device 9 further comprises a character recognition module, wherein the character recognition module is used for extracting the numbering sign 10 according to the color image, correcting error codes by adopting a front context and a back context which are continuous, and taking the extracted numbering as current positioning information and a unique identification code.
Further, the data acquisition device 9 further comprises an abnormity alarm module, and the abnormity alarm module is used for determining an abnormity condition and sending out an early warning signal according to the body size, body condition, weight and body temperature of the sow and the growth health condition score of the sow, so as to respond in time and reduce the breeding risk.
Further, as shown in fig. 1, the data acquisition device 9 further includes a wireless module 13, the data processing module is connected to the server through the wireless module 13, and the server exchanges data with the data processing module through the wireless module 13.
As shown in fig. 2, the number of the U-shaped grooved pulleys 2 of the system is two, one pair of U-shaped grooved pulleys 2 is fixedly arranged on one side of the data acquisition device 9, and the other pair of U-shaped grooved pulleys 2 is fixedly arranged on the other side of the data acquisition device 9; one of the two pairs of U-shaped groove pulleys 2 is a driving wheel, the other pair is a driven wheel, and the driving wheel is driven by a motor.
Specifically, two pairs of U-shaped groove pulleys 2 are respectively disposed on two sides of the data acquisition device 9, and one pair of the U-shaped groove pulleys is used as a driving wheel and is fixedly connected with the closed-loop guide rail 5 through the driving pulley support 3. The other pair of driven wheels are connected with the closed-loop guide rail 5 in a sliding mode through the driven pulley support 8, the driven wheel support is connected with the closed-loop guide rail 5 through the linear sliding block through the rotating bearing, and therefore the driven wheels can rotate and move within a certain range, and the data acquisition device 9 is guaranteed to be suitable for sliding at the arc of turning on the closed-loop guide rail 5.
Therefore, one of each pair of U-shaped groove pulleys 2 is connected with the data acquisition device 9 through a synchronous belt 4, one pair of U-shaped groove pulleys 2 serving as driving wheels drives the other pair of U-shaped groove pulleys 2 serving as driven wheels to move along the closed-loop guide rail 5, and the data acquisition device 9 is driven to move along the closed-loop guide rail 5.
Further, as shown in fig. 2, the system further includes a power supply trolley line 6 and a power supply slider brush 7, the data acquisition device 9 uses a trolley power supply mode, the power supply trolley line 6 is arranged right above the closed-loop guide rail 5, the power supply slider brush 7 is fixedly connected with the data acquisition device 9, and the power supply slider brush 7 slides along the power supply trolley line 6, so as to supply power to the data acquisition device 9.
Further, as shown in fig. 1, the system further includes a cleaning device 14 and a resetting and calibrating device 15, the cleaning device 14 and the resetting and calibrating device 15 are respectively disposed at two different fixing positions of the closed-loop guide rail 5, the resetting and calibrating device 15 is used for daily parking of the data acquisition device 9, and the cleaning device 14 is used for cleaning the data acquisition device 9.
The embodiment of the utility model provides a monitoring system of location fence sow, can realize location fence sow body condition information and environmental information timely, it is accurate, it is quick and automatic, intelligent information acquisition and monitoring, and integrate thing networking data platform's software and hardware environment, realize the remote transmission and the management of data, and upload to data server, realize the non-contact, it is automatic, the monitoring is patrolled and examined to intelligent location fence sow, and in time send the early warning to body condition anomaly and environmental anomaly, breed the management for the sow and provide comprehensively, it is accurate, timely all-round monitoring data, thereby for production management decision-making provides technical support and appurtenance, thereby improve the information-based and intelligent level that pig was bred in the animal husbandry production.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention in its corresponding aspects.
Claims (6)
1. A monitoring system for positioning gilts, comprising: the sow positioning device comprises a data acquisition device, a U-shaped groove pulley and a closed-loop guide rail, wherein the closed-loop guide rail is erected right above a sow positioning fence, and the data acquisition device is connected with the closed-loop guide rail through the U-shaped groove pulley and moves along the closed-loop guide rail;
the data acquisition device comprises a data processing module, and an environmental information acquisition module, a color image acquisition module, a depth image acquisition module and a thermal distribution image acquisition module which are respectively connected with the data processing module;
the environment information acquisition module is used for acquiring environment information of a monitoring area, and the color image acquisition module, the depth image acquisition module and the thermal distribution image acquisition module are respectively used for acquiring the color image, the depth image and the thermal distribution image of the sow;
the data processing module is used for acquiring the body size and body condition, the weight and the body temperature of the sow according to the color image, the depth image and the heat distribution image, and acquiring the growth health condition score of the sow according to the body size and body condition, the weight and the body temperature of the sow and the environmental information.
2. The gilt monitoring system of claim 1 wherein the environmental information includes temperature, humidity, CO2Content and NH3And the depth image acquisition module adopts a depth sensor, and the thermal distribution image acquisition module adopts a thermal imaging sensor.
3. The system as recited in claim 1, wherein said data acquisition device further comprises a wireless module, and said data processing module is connected to a server via said wireless module.
4. The gilt monitoring system of claim 1 wherein the number of U-grooved pulleys is two, one pair of U-grooved pulleys being fixedly attached to one side of the data acquisition device and the other pair of U-grooved pulleys being fixedly attached to the other side of the data acquisition device; one of the two pairs of U-shaped groove pulleys is a driving wheel, and the other pair of U-shaped groove pulleys is a driven wheel.
5. The system as recited in claim 1, further comprising a power supply trolley line and a power supply slider brush, wherein said power supply trolley line is disposed directly above said closed loop guide rail, said power supply slider brush is fixedly connected to said data acquisition device, and said power supply slider brush slides along said power supply trolley line to power said data acquisition device.
6. The system as recited in claim 1, further comprising a cleaning device and a resetting and calibrating device, wherein said cleaning device and said resetting and calibrating device are respectively disposed at two different fixed positions of said closed-loop rail, said resetting and calibrating device is used for parking said data acquisition device, and said cleaning device is used for cleaning said data acquisition device.
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