CN211746249U - Device for identifying chickens in cage - Google Patents
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- CN211746249U CN211746249U CN202020024874.1U CN202020024874U CN211746249U CN 211746249 U CN211746249 U CN 211746249U CN 202020024874 U CN202020024874 U CN 202020024874U CN 211746249 U CN211746249 U CN 211746249U
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Abstract
The utility model relates to a chicken identification device in cage. The identification device comprises: the device comprises an infrared imager, a fixing device, a rotary steering engine, a steering engine platform, a lifting platform, a control device box and a moving device; the single chip microcomputer receives the infrared thermal image acquired by the infrared imager, controls the rotation of the rotary steering engine, controls the lifting of the lifting platform and controls the movement of the moving device; utilize mobile device to remove in the cage, according to the chicken only the height in the cage, go up and down through the elevating platform to through the life state of each layer chicken in infrared imaging ware monitoring cage, simultaneously, thereby can also replace the life state of chicken in the artifical monitoring cage completely through the rotary steering engine, adopt the utility model provides an identification device can improve recognition efficiency and monitoring precision.
Description
Technical Field
The utility model relates to a chicken coop monitoring field especially relates to a chicken identification device in cage.
Background
Nowadays, with the continuous improvement of facilities allocation technology of intensive farms, the large-scale poultry cultivation is generally distributed, the number of the poultry cultivated in a large scale is large, the poultry is inconvenient to be independently monitored, and the death and injury conditions of the poultry cannot be found in time. According to statistics, in large-scale chicken farm cultivation, about one ten thousand or two chickens die every day, and most chickens are hidden in cages and are scattered in positions and not easy to find. Because the muscles and blood begin to breed germs two hours after the death of the chicken, the bred germs grow exponentially and are quickly rotten and deteriorated after five hours, thereby forming great hidden danger of spreading epidemic diseases and being very unfavorable for disease prevention and control and production in chicken farms.
Secondly, the arrangement amount of the coops is larger and larger, most farms adopt the stacked coops, and the phenomenon of eight layers or even ten layers often occurs. Along with the increase of the number of piles, the chicken coop height is far above the height of the human body, and the ladder is climbed up and down to check the chickens by spending a large amount of manpower, which wastes time and labor. For the screening of chickens, the existing solution is basically to manually and regularly carry out carpet type routing inspection or according to the feed intake of chickens, the manual detection of the chickens is a trivial and delicate work, workers must closely and carefully check thousands of chicken cages, and the real-time performance is poor.
With the expansion of the culture scale and the increase of labor cost, the daily manual inspection increases the great workload and the production cost. At present, related research and achievements related to polling of chickens are few, and only a CCD camera-based image analysis recognition and egg collection belt contact type recognition system is difficult to put into production due to the reasons of complex principle, high manufacturing cost, low detection accuracy rate and the like.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing a chicken identification device in cage to solve the inefficiency of the interior chicken state of artificial discernment chicken cage, the real-time is poor and current chicken cage identification system cost is expensive, detects the problem that the rate of accuracy is low.
In order to achieve the above object, the utility model provides a following scheme:
a chicken in cage identification device comprising: the device comprises an infrared imager, a fixing device, a rotary steering engine, a steering engine platform, a lifting platform, a control device box and a moving device;
the infrared imager is fixed on the fixing device; the fixing device is supported by the rotary steering engine, the rotary steering engine is fixed on the steering engine platform, and the rotary steering engine is used for controlling the fixing device to drive the infrared imager to adjust the angle; the infrared imager is used for acquiring infrared thermal images of the chickens in the cage and determining the life states of the chickens in the cage; the life state comprises a live chicken state and a dead chicken state;
the steering engine platform is fixed on the lifting platform; the lifting platform is used for supporting the steering engine platform; the lifting platform is fixed on the control device box; a singlechip is arranged in the control device box; the single chip microcomputer is respectively connected with the infrared imager, the rotary steering engine, the lifting platform and the moving device; the single chip microcomputer is used for receiving the infrared thermal images collected by the infrared imager, controlling the rotation of the rotary steering engine, controlling the lifting platform to lift and controlling the mobile device to move.
Optionally, the single chip microcomputer calls an application program interface API to receive the infrared thermal image of the infrared imager.
Optionally, the method further includes: a layer health monitoring platform; the laying hen health monitoring platform is connected with the single chip microcomputer; the laying hen health monitoring platform is used for remotely monitoring the life state of a chicken in a cage.
Optionally, the single chip microcomputer is STC89C52-35I-PDIP 40.
Optionally, the rotary steering engine is a high-torque digital steering engine; the shell of the large-torque digital steering engine is a metal shell.
Optionally, the infrared imager is an infrared temperature sensor; the infrared temperature sensor is a focal plane array of a Felil E6 handheld thermal imager and a non-refrigeration type microbolometer detector.
Optionally, the method further includes: an alarm; the alarm is connected with the single chip microcomputer; and when the life state of the chicken in the cage is identified to be a dead chicken state, the alarm gives an alarm.
A method for identifying chickens in cages comprises the following steps:
acquiring historical chicken data; the historical chicken data comprises historical chicken infrared thermal images and historical chicken categories corresponding to the historical chicken infrared thermal images;
establishing a chicken database according to the historical chicken data;
acquiring current infrared thermal images of the chickens to be detected in the cage;
determining the life state of the chicken to be detected according to the current infrared thermal image and the chicken database; the life state comprises a live chicken state and a dead chicken state.
Optionally, after determining the life state of the chicken to be tested according to the current infrared thermal image and the chicken database, the method further includes: and sending the life state of the chicken to be detected to a laying hen health monitoring platform.
According to the utility model provides a concrete embodiment, the utility model discloses a following technological effect: the utility model provides a chicken identification device in cage utilizes mobile device to remove in the cage, according to the only position height of chicken in the cage, goes up and down through the elevating platform to through the life state of each layer chicken in the infrared imager monitoring cage, simultaneously, thereby can also replace the life state of chicken in the manual monitoring cage completely through the rotatory steering engine, thereby raise the efficiency and monitor the precision.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a structural diagram of a chicken identification device in a cage according to the present invention;
fig. 2 is the software architecture diagram of the inspection equipment provided by the utility model.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
The utility model aims at providing a chicken identification device in cage can improve recognition efficiency and monitoring precision.
In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention is described in detail with reference to the accompanying drawings and the detailed description.
Fig. 1 is the utility model provides a chicken identification means structure picture in cage, as shown in fig. 1, a chicken identification means in cage, include: the device comprises an infrared imager 1, a fixing device 2, a rotary steering engine 3, a steering engine platform 4, a lifting platform 5, a control device box 6 and a moving device 7; the infrared imager 1 is fixed on the fixing device 2; the fixing device 2 is supported by the rotary steering engine 3, the rotary steering engine 3 is fixed on the steering engine platform 4, and the rotary steering engine 3 is used for controlling the fixing device 2 to drive the infrared imager 1 to adjust the angle; the infrared imager 1 is used for acquiring infrared thermal images of the chickens in the cage and determining the life states of the chickens in the cage; the life state comprises a live chicken state and a dead chicken state;
the steering engine platform 4 is fixed on the lifting platform 5; the lifting platform 5 is used for supporting the steering engine platform 4; the lifting platform 5 is fixed on the control device box 6; a singlechip is arranged in the control device box 6; the single chip microcomputer is respectively connected with the infrared imager 1, the rotary steering engine 3, the lifting platform 5 and the moving device 7; the single chip microcomputer is used for receiving the infrared thermal images collected by the infrared imager 1, controlling the rotation of the rotary steering engine 3, controlling the lifting of the lifting platform 5 and controlling the movement of the moving device 7.
Type selection and calibration of the thermal imager:
1. selection of pixels
The pixel level of the purchased thermal infrared imager is determined first, and most thermal infrared imagers have levels related to the pixels. The pixel of the relatively high-end product in the civil thermal infrared imager is 640 x 480 to 307,200, the infrared picture shot by the high-end thermal infrared imager is clear and fine, and the minimum size measured at 12 meters is 0.5 x 0.5 cm. The pixels of the mid-end thermal infrared imager were 320 × 240 × 76,800, with a minimum dimension of 1 × 1cm measured at 12 meters; the pixels of the low end infrared thermal imager were 160 × 120 — 19,200, with a minimum dimension of 2 × 2cm measured at 12 meters. The higher the visible pixels, the smaller the minimum size of the object that can be photographed, and we choose 320 x 240
2. Temperature measuring range and measured object
And determining a temperature measuring range according to the temperature range of the object to be measured to select the thermal infrared imager with a proper temperature section. Most thermal infrared imagers on the market at present are divided into a plurality of temperature ranges, such as-40-120 ℃ and 0-500 ℃, but the larger the span of the temperature range is, the better the span of the temperature range is, and the more accurate the temperature measurement is relatively. In addition, when the general thermal infrared imager needs to measure an object with the temperature of more than 500 ℃, a corresponding high-temperature lens needs to be equipped.
3. Temperature resolution
The temperature resolution reflects the temperature sensitivity of one thermal infrared imager, the smaller the temperature resolution is, the more obvious the thermal infrared imager senses the change of the temperature, and the product with the small parameter value is selected as much as possible during selection. The infrared thermal imager is mainly used for testing a tested object, a temperature fault point is found out through temperature difference, the measurement of the temperature value of a single point is not significant, and a relative hot point is found out mainly through the temperature difference, so that the function of pre-maintenance is achieved.
4. Spatial resolution
In brief, the smaller the spatial resolution, the more accurate the temperature measurement is, and when the spatial resolution is smaller, the pixel of the thermal infrared imager is covered by the minimum target to be measured, and the measured temperature is the temperature of the target to be measured. If the spatial resolution is high, the minimum target to be tested can not completely cover the pixels of the thermal infrared imager, the test target can be influenced by the environmental radiation of the test target, the test temperature is the average temperature of the target to be tested and the ambient temperature, and the numerical value is not accurate enough.
5. Temperature stability
The core component of the thermal infrared imager is an infrared detector, two detectors, namely a vanadium oxide crystal detector and a polysilicon detector, are mainly used at present, the vanadium oxide detector has the main advantages that the temperature measurement view MFOV (measurement Field of view) is 1, and the temperature measurement is accurate to 1 pixel point. The amophorus Silicon (polycrystalline Silicon) sensor, MFOV is 9, i.e. the temperature per spot is obtained on the basis of 3 × 3 ═ 9 pixels averaged. The vanadium oxide detector has good temperature stability, long service life and small temperature drift. Table 1 is the utility model provides a select thermal infrared imager's parameter contrast table, as table 1 shows.
TABLE 1
The infrared thermal imager can image the whole target in real time in a 'surface' form, so that an operator can preliminarily judge the heating condition and the fault part by the aid of image colors displayed on a screen and a hotspot tracking and displaying function, and then follow-up analysis is performed, so that the problem is determined efficiently and accurately.
Thermal infrared imager very easy to use, thermal imaging hangs down the hand and can, and operation and audio-visual screen display guide do not need professional training alright carry out accurate measurement, only need directional target, aim at burnt instrument, thermal infrared imager will automatic adjustment temperature range display clear and distinct image, table 2 does the utility model provides a thermal infrared imager 1 correlation parameter table, as table 2 shows.
TABLE 2
| Pixel | 320x240 |
| Thermal sensitivity | <0.05℃ |
| Temperature measurement accuracy | Plus or minus 2 ℃ or plus or minus 2% of the reading |
| Spatial resolution | 320×240 |
| Temperature measuring range | -20 ℃ to +250 |
The rotary steering engine 3 adopts a large-torque digital steering engine packaged by a metal shell, and compared with the traditional analog steering engine, the rotary steering engine has the advantages of high control precision, good linearity, quick response and strong heat dissipation capability of the metal shell; and the device has two degrees of freedom, can realize horizontal rotation and vertical rotation, and is more flexible and convenient to detect, thereby realizing omnibearing detection.
Fig. 2 is a software system structure diagram of the inspection equipment provided by the utility model, as shown in fig. 2, the utility model can realize the functions of collecting, storing, controlling and analyzing infrared images, controlling the operation of the black water paint intelligent tracking trolley and communicating data of the remote server; the system adopts a modular design, and equipment system software mainly comprises an infrared image acquisition control module, a black water-based paint tracking control module and a remote interaction management control module.
The acquisition control of the infrared image is mainly completed by the interaction of the upper computer and the thermal infrared imager, and the upper computer calls the API interface service to complete data acquisition after receiving the feedback information of the lower computer controller. The acquisition control mode of the infrared image data is a manual and automatic combined mode.
Automatically arranging an inspection device according to a system preset inspection and collecting the laying hen infrared image of each cage site;
and manually operating the processor for workers to analyze the infrared images of the laying hens. The collected infrared images are stored locally, and then the data are transmitted to a remote server through a timing task program of a remote interaction management module.
The data transmission refers to interactive management control of an upper computer and a remote server, and the using modes of the upper computer and the remote server mainly comprise instruction interaction and infrared image transmission. And the infrared image data is collected and analyzed at regular time, and the data is transmitted to a remote server for storage. The remote server performs analysis instruction interaction by manual clicking, namely the upper computer receives a server remote control instruction and realizes information feedback through monitoring a corresponding port of the server, and the type of control instruction information sent by the remote server to the upper computer in the communication process is shown in table 3.
TABLE 3
The infrared thermal imaging is to image an object by using a thermal infrared sensitive element, reflect the temperature field of the surface of the object, and belongs to non-contact measurement. Any object higher than absolute zero radiates electromagnetic waves, and the part with the wavelength of 2.0-1000 μm is called thermal infrared ray. The intensity of the infrared radiation changes with the temperature. The temperature distribution of the constant temperature animal has certain stability and characteristics, and different temperatures of all parts of the body form different thermal fields.
The implementation and application of the method are as follows: when a chicken is ill or dies, the blood flow of the chicken changes correspondingly, resulting in temperature changes, which are manifested as higher or lower temperature. According to the principle, an infrared thermal imaging instrument is used for obtaining a body surface thermal distribution graph of an individual, an RGB color image is converted into a gray image, a gray value histogram of a foreground is analyzed and compared with threshold gray data of live chickens, if data points lower than a threshold value appear, the data points are immediately marked, a diseased part and a diseased degree can be judged through analysis, and whether the chickens die or not can also be detected.
The technical advantages are as follows: the temperature measured by infrared thermal imaging is calculated by radiant energy received by an instrument, and the temperature measurement precision of the infrared thermal imaging is influenced by the radiance of the measured surface, the measurement distance and the ambient temperature and humidity, wherein the radiance of the infrared thermal imaging is the factor which has the greatest influence on the measurement precision.
Compared with the traditional temperature measurement mode, the infrared thermal imaging temperature measurement has the advantages of high precision, wide range, rapidness and high sensitivity, and can not cause the stress reaction of an individual; in addition, the health condition of the chickens can be monitored, epidemic situation information can be found as soon as possible, early prevention can be achieved, and loss is reduced; and the automatic detection system is combined with a control system, so that automatic detection of dead chickens can be realized, and effective storage and remote transmission of information of the chickens can be realized.
The computer image intelligent identification technology is widely applied to intelligent reconstruction projects in industries such as intelligent medical treatment and intelligent agriculture due to the advantages of high identification precision, high processing speed and the like.
Establishing two classifications of dead chickens and live chickens through matrix laboratory Matlab, which comprises the following specific steps: inputting an image to be identified into a sample database of a computer image identification system as a sample database data set, then carrying out corresponding feature extraction and classification on the image sample database through a related intelligent identification algorithm, finally dividing the images with the same attribute into one data set, setting a corresponding data label for the data set to carry out parametric representation, and if the chicken is a dead chicken, displaying the label setting as 0, and displaying the label setting as 1; the method is convenient for quickly acquiring related images and types in the subsequent identification process, and the images and the types are divided into dead chickens and live chickens.
Analyzing a body surface thermal distribution map obtained by a thermal imager, storing the detected chicken conditions into different classifications by utilizing color space conversion, binarization processing, morphological processing, contour analysis and number statistics, and automatically alarming once a dead chicken is detected.
Meanwhile, the situation of the chicken house can be monitored through remote control, the dead chicken situation and the position of the dead chicken can be recorded according to a computer display picture and a matlab analysis result, and after detection is finished, a chicken house manager can enter the chicken house to grab the dead chicken. Can greatly improve the inspection efficiency, effectively reduce the disease propagation probability of poultry and the probability of cross infection of human and chicken in manual inspection.
The high density intensification of the existing laying hen breeding, the influence of the refined degree of the environment control of the henhouse on the laying hen production performance is more closely related, the utility model combines image recognition analysis and thermal imaging, monitors the henhouse in all directions, observes and knows the behavior characteristics of the laying hen in real time, improves the dead hen recognition rate, thereby effectively ensuring the economic benefit of the breeder; the method has the advantages that the environment and the equipment of the chicken house are monitored, and the method has important significance on the production and the laying rate of the laying hens. The monitoring equipment is simple and convenient to operate, has various functions and high automation degree, and can realize real-time online monitoring.
The method has the advantages that the live chicken head temperature is obviously higher than the live chicken head temperature in the coverage area of other feathers and the dead chicken temperature, the live and dead chicken state is judged by collecting the chicken head temperature, a novel detection method for the live and dead chicken state is provided, automatic inspection is realized in large-scale livestock and poultry breeding, and the inspection cost of the chicken is reduced.
The utility model discloses dead chicken carries out accurate discernment record and position display in to the cage, makes artifical carpet formula patrol and examine to improve and patrol and examine for the fixed point is accurate, can improve greatly and patrol and examine efficiency, effectively reduces poultry disease propagation probability and artifical and patrol and examine the chicken cross infection probability of probably appearing.
Through 5 automatic lifting of elevating platform, and adopt black waterborne lacquer tracking mode, batch processing, simple to operate easily operates.
The utility model discloses a non-contact patrols and examines, adopts infrared temperature sensor to detect, does not produce extra reputation, can not only disturb the chicken, the utility model discloses the principle is simple, the cost is low, the degree of accuracy is high, can be applied to in the actual production.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The principle and the implementation of the present invention are explained herein by using specific examples, and the above description of the embodiments is only used to help understand the method and the core idea of the present invention; meanwhile, for the general technical personnel in the field, according to the idea of the present invention, there are changes in the concrete implementation and the application scope. In summary, the content of the present specification should not be construed as a limitation of the present invention.
Claims (7)
1. A device for identifying chickens in cages is characterized by comprising: the device comprises an infrared imager, a fixing device, a rotary steering engine, a steering engine platform, a lifting platform, a control device box and a moving device;
the infrared imager is fixed on the fixing device; the fixing device is supported by the rotary steering engine, the rotary steering engine is fixed on the steering engine platform, and the rotary steering engine is used for controlling the fixing device to drive the infrared imager to adjust the angle; the infrared imager is used for acquiring infrared thermal images of the chickens in the cage and determining the life states of the chickens in the cage; the life state comprises a live chicken state and a dead chicken state;
the steering engine platform is fixed on the lifting platform; the lifting platform is used for supporting the steering engine platform; the lifting platform is fixed on the control device box; a singlechip is arranged in the control device box; the single chip microcomputer is respectively connected with the infrared imager, the rotary steering engine, the lifting platform and the moving device; the single chip microcomputer is used for receiving the infrared thermal images collected by the infrared imager, controlling the rotation of the rotary steering engine, controlling the lifting platform to lift and controlling the mobile device to move.
2. The in-cage chicken identification apparatus of claim 1 wherein the single-chip microcomputer invokes an Application Program Interface (API) to receive the infrared thermal image of the infrared imager.
3. The in-cage chicken identification apparatus of claim 1 further comprising: a layer health monitoring platform; the laying hen health monitoring platform is connected with the single chip microcomputer; the laying hen health monitoring platform is used for remotely monitoring the life state of a chicken in a cage.
4. The in-cage chicken identification device of claim 2 wherein the single chip microcomputer is model number STC89C52-35I-PDIP 40.
5. The in-cage chicken identification device according to claim 1, wherein the rotary steering engine is a high-torque digital steering engine; the shell of the large-torque digital steering engine is a metal shell.
6. The in-cage chicken identification device of claim 1 wherein the infrared imager is an infrared temperature sensor; the infrared temperature sensor is a focal plane array of a Felil E6 handheld thermal imager and a non-refrigeration type microbolometer detector.
7. The in-cage chicken identification apparatus of claim 1 further comprising: an alarm; the alarm is connected with the single chip microcomputer; and when the life state of the chicken in the cage is identified to be a dead chicken state, the alarm gives an alarm.
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| CN202020024874.1U CN211746249U (en) | 2020-01-02 | 2020-01-02 | Device for identifying chickens in cage |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111096252A (en) * | 2020-01-02 | 2020-05-05 | 河北农业大学 | Device and method for identifying chickens in cage |
| CN113854197A (en) * | 2021-11-04 | 2021-12-31 | 河北农业大学 | Dead chicken pickup clamp in henhouse bottom cage |
| CN114407051A (en) * | 2022-03-07 | 2022-04-29 | 烟台艾睿光电科技有限公司 | Livestock and poultry farm inspection method and livestock and poultry farm robot |
-
2020
- 2020-01-02 CN CN202020024874.1U patent/CN211746249U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111096252A (en) * | 2020-01-02 | 2020-05-05 | 河北农业大学 | Device and method for identifying chickens in cage |
| CN113854197A (en) * | 2021-11-04 | 2021-12-31 | 河北农业大学 | Dead chicken pickup clamp in henhouse bottom cage |
| CN114407051A (en) * | 2022-03-07 | 2022-04-29 | 烟台艾睿光电科技有限公司 | Livestock and poultry farm inspection method and livestock and poultry farm robot |
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