CN111766827A - Modern pig breeding base real-time monitoring management system based on big data - Google Patents
Modern pig breeding base real-time monitoring management system based on big data Download PDFInfo
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Abstract
The invention discloses a modern pig breeding base real-time monitoring management system based on big data, which comprises a monitoring image acquisition module, an image preprocessing module, a regional image dividing module, an aggregation density analysis module, a regional environment parameter acquisition module, a manual input module, an environment parameter analysis module, a regional behavior monitoring module, a parameter database, a monitoring analysis platform, a ventilation execution terminal and an alarm dispelling terminal, wherein a pig activity region of a pig breeding base is divided into a plurality of aggregation subregions according to aggregation conditions, the environment parameters of the aggregation subregions are detected, an environment quality coefficient is counted according to the detected environment parameters, the aggregation behavior of a pig herd of the breeding base is monitored in real time for each aggregation subregion, corresponding treatment measures are timely taken for the occurrence of biting behaviors, a farmer can conveniently improve the breeding environment in time, and the pig breeding environment can reach the optimal state, improves the breeding efficiency and realizes the scientific and healthy breeding of the live pigs.
Description
Technical Field
The invention relates to the technical field of live pig breeding monitoring, in particular to a modern pig breeding base real-time monitoring management system based on big data.
Background
The development of the live pig breeding industry in China has a long history, Sichuan, Shandong, Henan, Hunan and the like are big provinces for pig breeding, thousands of scattered households for pig breeding are arranged in the areas, and large-scale pig farms with high scale degree are arranged. With the shift of rural labor force to cities, the live pig breeding industry has the tendency of intensive operation, the modern breeding industry is developing rapidly, but all the aspects of the technology are still relatively deficient, and the breeding technology and the management concept have certain gaps with foreign countries.
The traditional pig breeding industry has many problems, from breeding to feeding level, from breeding scale to epidemic prevention, from livestock production to sale, from variety quality to meat quality lack of fine management, and the technology is weak; the modern pig breeding base real-time monitoring management system based on big data can detect the environment of a breeding area, ventilate the breeding area according to detected environmental parameters, monitor the pig herd gathering behavior of the breeding base in real time, and timely make corresponding treatment measures for the tearing behavior, so that the scientific breeding of the live pigs is realized.
Disclosure of Invention
The invention aims to provide a modern pig breeding base real-time monitoring and management system based on big data, which solves the problems mentioned in the background technology.
The purpose of the invention can be realized by the following technical scheme:
a modern pig breeding base real-time monitoring management system based on big data comprises a monitoring image acquisition module, an image preprocessing module, a regional image dividing module, an aggregation density analysis module, a regional environment parameter acquisition module, a manual input module, an environment parameter analysis module, a regional behavior monitoring module, a parameter database, a monitoring analysis platform, a ventilation execution terminal and an alarm dispersion terminal, wherein the image preprocessing module is connected with the monitoring image acquisition module, the regional image dividing module is respectively connected with the image preprocessing module, the aggregation density analysis module, the regional environment parameter acquisition module and the regional behavior monitoring module, the environment parameter analysis module is respectively connected with the regional environment parameter acquisition module, the manual input module and the parameter database, the ventilation execution terminal is connected with the environment parameter analysis module, the monitoring analysis platform is respectively connected with the regional behavior monitoring module and the aggregation density analysis module, the alarm dispelling terminal is connected with the monitoring analysis platform;
the monitoring image acquisition module comprises a camera and is used for acquiring images of a pig activity area of the live pig breeding base, improving the resolution of the acquired images, acquiring high-definition images and sending the high-definition images to the image preprocessing module;
the image preprocessing module is used for receiving the high-definition images sent by the monitoring image acquisition module, analyzing the signal-to-noise ratio, comparing the analyzed image signal-to-noise ratio with a preset image signal-to-noise ratio threshold value, removing the high-definition images smaller than the preset image signal-to-noise ratio threshold value if the received high-definition image signal-to-noise ratio is smaller than the preset image signal-to-noise ratio threshold value, sending a control instruction to the monitoring image acquisition module, controlling the monitoring image acquisition module to continue image shooting on a pig moving area, keeping the images with the image signal-to-noise ratio larger than the preset image signal-to-noise ratio threshold value, and sending the high-definition images larger than the preset image signal-;
the region image dividing module receives the high-definition images which are sent by the image processing module and larger than a preset image signal-to-noise ratio threshold, divides the live pig activity region into a plurality of aggregation sub-region images according to live pig aggregation conditions, numbers the aggregation sub-regions according to a preset sequence, and sequentially marks the aggregation sub-regions as 1,2.. i.. n, and obtains the areas of the aggregation sub-regions to form an aggregation sub-region area set S (S1, S2.. S.., si.. S.., sn), wherein si represents the area of the ith aggregation sub-region, and the region image dividing module sends the aggregation sub-region area set to the aggregation density analysis module;
the aggregation density analysis module receives the aggregation sub-region area set sent by the image processing module, counts the number of pigs in each aggregation sub-region, obtains an aggregation sub-region pig number set W (W1, W2.., wi.,. wn), wherein wi represents the number of pigs in the ith aggregation sub-region, calculates the aggregation density of each aggregation sub-region according to the received aggregation sub-region area set and a density calculation formula, and is marked as rho i,
constructing a pig aggregation density set rho (rho 1, rho 2.., rho i, …, rho n) of the aggregation sub-region, and sending the pig aggregation density set of the aggregation sub-region to a monitoring analysis platform by an aggregation density analysis module;
the regional environment parameter acquisition module comprises a plurality of temperature acquisition units, humidity acquisition units and illumination intensity acquisition units, and is used for acquiring the surface temperature, the surface humidity, the illumination intensity, the air temperature and the air humidity of each gathering subregion and sending the acquired environment parameters of each gathering subregion to the environment parameter analysis module;
the artificial input module is used for manually inputting the current feeding stage of the live pigs and sending the current feeding stage to the environmental parameter analysis module;
the environment parameter analysis module is used for receiving the environment parameters of each aggregation subregion sent by the regional environment parameter collection module, receiving the current feeding stage of the pigs sent by the manual input module, extracting the standard environment parameters corresponding to the current feeding stage of the live pigs in the parameter storage database, comparing the received environment parameters of each aggregation subregion with the standard surface temperature value, the standard surface humidity value, the standard illumination intensity, the standard air temperature and the standard air humidity value in the standard environment parameters corresponding to the current feeding stage of the live pigs to obtain the primary environment parameter comparison difference value of each aggregation subregion, re-collecting the environment parameters of each aggregation subregion after a fixed time interval, comparing the re-collected environment parameters with the standard environment parameters corresponding to the current feeding stage of the live pigs to obtain the secondary environment parameter comparison difference value of each aggregation subregion, according to the primary environmental parameter comparison difference and the secondary environmental parameter comparison difference of each gathering subarea, counting the environmental quality coefficient of each gathering subarea, simultaneously extracting the environmental quality coefficient range corresponding to each level of ventilation in the parameter database, if the counted environmental quality coefficient is in the environmental quality coefficient range corresponding to a certain level of ventilation, sending a ventilation control instruction of the level to the ventilation execution terminal, if the counted environmental quality coefficient is less than the lower limit value of the environmental quality coefficient range corresponding to a certain level of ventilation, sending a ventilation control instruction of the level lower than the level to the ventilation execution terminal, and if the counted environmental quality coefficient is greater than the upper limit value of the environmental quality coefficient range corresponding to a certain level of ventilation, sending a ventilation control instruction of the level higher than the level to the ventilation execution terminal;
the ventilation execution terminal is used for receiving the ventilation control instruction of each gathering sub-area sent by the environment parameter analysis module and ventilating each gathering sub-area at different levels;
the parameter database is used for storing standard environment parameters corresponding to each raising stage of the live pigs, storing behavior characteristics corresponding to each behavior of the pigs, storing environment quality coefficient ranges corresponding to ventilation of each level, storing standard aggregation density corresponding to each raising stage of the live pigs, and storing influence coefficients of earth surface temperature, earth surface humidity, illumination intensity, air temperature and air humidity;
the regional behavior monitoring module is used for receiving the images of the gathering subregions sent by the regional image dividing module, focusing and amplifying the swinery in the received images of the gathering subregions, extracting the morphological subimages of the pigs in the swinery of the gathering subregions, carrying out gray level normalization processing on the extracted morphological subimages of the pigs, positioning and measuring the position changes of the mouth, teeth and nose of the normalized and recording the position changes of the mouth, teeth and nose of the pigs and the touch mode of the pigs with other pigs, comparing the recorded position changes of the mouth, teeth and nose of the pigs and the behavior characteristics corresponding to the gathering behaviors of the pigs stored in the parameter database one by one to determine whether the pig herd in the images of the gathering subregions has the tearing behaviors or not, and counting the numbers of the tearing gathering subregions, and sending to a monitoring analysis platform;
the monitoring analysis platform receives the numbers of the baited gathering subareas sent by the area behavior monitoring module, simultaneously receives the gathering density set of the gathering subareas sent by the gathering density analysis module, extracts the gathering density corresponding to the numbers of the baited gathering subareas, analyzes and predicts the reason of the baiting behavior, sends an alarm dispelling control instruction to the alarm dispelling terminal, simultaneously receives the numbers of the baited gathering subareas which are not successfully dispelled and fed back by the alarm dispelling terminal, and sends the numbers to the remote control center;
alarm dispels terminal, including the siren for receive the alarm that monitoring analysis platform sent and dispel the control command, the siren sends noise alarm sound and dispels the swinery.
According to one implementation mode of the invention, the camera is a wide-angle camera and is used for monitoring the pig activity area of the live pig breeding base in an all-around manner.
According to one possible implementation manner of the present invention, the dividing method of each aggregation sub-region is to draw a square or circular figure at a certain pig herd aggregation position with the pig herd aggregation point as the center, so as to ensure that all pigs at the pig herd aggregation position are included, the region to which the square or circular figure belongs is the aggregation sub-region thereof, and the area of each aggregation sub-region is the area of the square or circular figure thereof.
According to an implementation manner of the present invention, the temperature acquisition unit includes a first temperature sensor and a second temperature sensor, the first temperature sensor is configured to detect a surface temperature of each aggregation sub-region, the second temperature sensor is configured to detect an air temperature of each aggregation sub-region, the humidity acquisition unit includes a first humidity sensor and a second humidity sensor, the first humidity sensor is configured to detect a surface humidity of each aggregation sub-region, the second humidity sensor is configured to detect an air humidity of each aggregation sub-region, the illumination intensity acquisition unit is an illumination sensor, and the illumination sensor is configured to detect an illumination intensity of each aggregation sub-region.
According to one implementation manner of the invention, the calculation formula of the environment quality coefficient of each aggregation sub-area is
According to an implementation mode of the method, the analysis and prediction method for the reason of the biting behavior is to compare the aggregation density corresponding to the extracted number of the biting aggregation sub-area with the standard aggregation density corresponding to the feeding stage of the live pigs respectively, if the number of the biting aggregation sub-area is larger than the standard aggregation density, the reason that the biting behavior occurs in the biting aggregation sub-area is predicted to be that the aggregation density is too large, a swinery is struggled to bite the pig from the position of a struggling groove and the position of sleep, and the reason that the biting behavior occurs in other biting aggregation sub-areas is predicted to be that the pig lacks certain nutritional components, such as salt, mineral calcium phosphorus or trace elements.
According to an implementation mode of the invention, the alarm dispersion method is specifically that an alarm sends out a noise alarm signal, whether pigs mutually bitten in the biting aggregation sub-area are dispersed is checked, if all or part of the biting aggregation sub-area is not dispersed, the serial number of the non-dispersed biting aggregation sub-area is recorded and fed back to a monitoring analysis platform, the monitoring analysis platform sends the serial number to a remote control center, and meanwhile, an alarm signal is sent to the remote control center, and the remote control center dispatches related managers to prevent dispersion.
According to an implementation mode of the invention, the system further comprises a remote control center which is connected with the monitoring analysis platform and used for receiving the numbers of the unsuccessfully dispelled biting gathering sub-areas sent by the monitoring analysis platform, manually stopping and dispelling the numbers, and arranging related staff to carry out health check on the swinery in the biting gathering sub-areas for the biting gathering sub-areas which lack the biting behavior of certain nutritional components in the body.
Has the advantages that:
(1) the invention carries out image acquisition and pig group gathering subregion division on the pig activity region of the pig breeding base through the monitoring image acquisition module and the region image division module, carries out environmental parameter acquisition, gathering density statistics and pig group behavior monitoring on each gathering subregion, simultaneously analyzes and counts the environmental quality coefficient of the acquired environmental parameters, carries out ventilation processing of different levels according to the environmental quality coefficient, analyzes whether biting behaviors exist or not through the behavior monitoring of each gathering subregion by pigs, carries out alarm dispersion on the gathering subregions with the pig group biting, realizes the online detection of the pig breeding environment and the real-time monitoring of the pig group gathering behaviors, is convenient for farmers to improve the breeding environment in time, leads the pig breeding environment to reach the best state, improves the breeding efficiency, can effectively and quickly identify the biting phenomenon in the pig group, the pig breeding management system is convenient for relevant management personnel to timely process, reduces the occurrence of pig injury caused by mutual biting of swinery, and embodies the scientific and healthy breeding of the pigs.
(2) According to the method, the gathering density corresponding to the serial number of the biting gathering sub-area is extracted and compared with the standard gathering density corresponding to the live pig at the feeding stage, and according to the condition that whether the gathering density corresponding to the serial number of the biting gathering sub-area is larger than the standard gathering density or not is checked, the mutual biting behavior reasons of the live pigs in each biting gathering sub-area are analyzed and predicted, the system is optimized, breeding managers can conveniently perform corresponding treatment measures according to the predicted biting behavior reasons of each biting gathering sub-area, and the rationalization and intellectualization of live pig breeding are improved.
(3) According to the invention, the remote control center is arranged to manually stop and disperse the baits in the gathering subarea which is not successfully dispersed by the alarm dispersing terminal, so that the occurrence of a swinery casualty phenomenon caused by that the baits cannot disperse due to delay is avoided, and meanwhile, the health examination can be timely carried out on the pigs which are subjected to the baiting behavior due to the lack of certain nutrient components in the live pigs, so that the condition of illness is prevented from being aggravated due to the untimely treatment, and the breeding loss is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic block diagram of the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a modern pig breeding base real-time monitoring and management system based on big data comprises a monitoring image acquisition module, an image preprocessing module, a region image dividing module, a gathering density analysis module, a region environment parameter acquisition module, a manual input module, an environment parameter analysis module, a region behavior monitoring module, a parameter database, a monitoring analysis platform, a ventilation execution terminal and an alarm dispelling terminal.
The system comprises an image preprocessing module, a region image dividing module, a region environmental parameter acquisition module, a parameter database, a ventilation execution terminal, a monitoring analysis platform, a region behavior monitoring module, a gathering density analysis module, a parameter database, a ventilation execution terminal, a monitoring analysis platform, an alarm dispelling terminal and a monitoring analysis platform.
The monitoring image acquisition module comprises a wide-angle camera, can carry out all-round monitoring on a pig activity area of a live pig breeding base, is used for carrying out image acquisition on the pig activity area of the live pig breeding base, improves the resolution ratio of the acquired image, acquires a high-definition image and sends the high-definition image to the image preprocessing module.
The image preprocessing module receives the high-definition images sent by the monitoring image acquisition module, analyzes the signal-to-noise ratio, compares the analyzed image signal-to-noise ratio with a preset image signal-to-noise ratio threshold value, removes the high-definition images smaller than the preset image signal-to-noise ratio threshold value if the received high-definition image signal-to-noise ratio is smaller than the preset image signal-to-noise ratio threshold value, sends a control instruction to the monitoring image acquisition module, controls the monitoring image acquisition module to continue image shooting of the pig activity area, keeps the images with the image signal-to-noise ratios larger than the preset image signal-to-noise ratio threshold value, and sends the high-definition images larger than the preset image signal-to-noise.
The regional image dividing module receives the high-definition image which is sent by the image processing module and larger than a preset image signal-to-noise ratio threshold value, divides the live pig activity region into a plurality of gathering sub-region images according to the live pig gathering condition by the received high-definition image, wherein the gathering sub-region dividing method is that a square or circular graph is drawn at a certain pig group gathering position by taking a pig group gathering point as a center to ensure that all pigs at the pig group gathering position are included, the region to which the square or circular pattern belongs is the gathering sub-region, the gathering sub-regions are numbered according to a preset sequence and are sequentially marked as 1,2. si, s, sn), where si is represented as the area of the ith aggregation sub-region, and the region image dividing module sends the aggregation sub-region area set to the aggregation density analysis module;
the aggregation density analysis module receives the aggregation sub-region area set sent by the image processing module, counts the number of pigs in each aggregation sub-region, obtains an aggregation sub-region pig number set W (W1, W2.,. wi.,. wn.), and the wi is expressed as the pig number of the ith aggregation sub-region, calculates the aggregation density of each aggregation sub-region according to the received aggregation sub-region area set and a density calculation formula, and is recorded as rho i,
constructing an aggregation density set rho (rho 1, rho 2.., rho i.,. eta., rho n) of the swine in the aggregation sub-region, and sending the aggregation density set of the swine in the aggregation sub-region to a monitoring analysis platform by an aggregation density analysis module.
The regional environment parameter acquisition module comprises a plurality of temperature acquisition units, a humidity acquisition unit and an illumination intensity acquisition unit, is used for acquiring the earth surface temperature, the earth surface humidity, the illumination intensity, the air temperature and the air humidity of each gathering subregion, the temperature acquisition unit comprises a first temperature sensor and a second temperature sensor, the first temperature sensor is used for detecting the earth surface temperature of each gathering subregion, the second temperature sensor is used for detecting the air temperature of each gathering subregion, the humidity acquisition unit comprises a first humidity sensor and a second humidity sensor, the first humidity sensor is used for detecting the earth surface humidity of each gathering subregion, the second humidity sensor is used for detecting the air humidity of each gathering subregion, the illumination intensity acquisition unit is an illumination sensor, and the illumination sensor is used for detecting the illumination intensity of each gathering subregion, and the area environment parameter acquisition module sends the acquired environment parameters of each aggregation subarea to the environment parameter analysis module.
The manual input module is used for manually inputting the current feeding stage of the live pigs and sending the current feeding stage to the environmental parameter analysis module.
The parameter database is used for storing standard surface temperature values, standard surface humidity values, standard illumination intensity, standard air temperature values and standard air humidity values in standard environment parameters corresponding to all the raising stages of the live pigs, storing behavior characteristics corresponding to all the gathering behaviors of the pigs, storing environment quality coefficient ranges corresponding to all levels of ventilation, storing standard gathering density corresponding to all the raising stages of the live pigs and storing influence coefficients of the surface temperature, the surface humidity, the illumination intensity, the air temperature and the air humidity.
The environment parameter analysis module is used for receiving the environment parameters of each aggregation subregion sent by the regional environment parameter collection module, receiving the current feeding stage of the pigs sent by the manual input module, extracting the standard environment parameters corresponding to the current feeding stage of the live pigs in the parameter storage database, comparing the received environment parameters of each aggregation subregion with the standard surface temperature value, the standard surface humidity value, the standard illumination intensity, the standard air temperature and the standard air humidity value in the standard environment parameters corresponding to the current feeding stage of the live pigs to obtain the primary environment parameter comparison difference value of each aggregation subregion, re-collecting the environment parameters of each aggregation subregion after a fixed time interval, comparing the re-collected environment parameters with the standard environment parameters corresponding to the current feeding stage of the live pigs to obtain the secondary environment parameter comparison difference value of each aggregation subregion, according to the primary environmental parameter comparison difference and the secondary environmental parameter comparison difference of each aggregation sub-region, the environmental quality coefficient of each aggregation sub-region is counted
Is expressed as the ambient mass coefficient of the ith aggregate sub-region, Δ p'ist、Δp′ish、Δp′isi、Δp′iat、Δp′iad represents the surface temperature, surface humidity, illumination intensity and air temperature of the ith sub-zoneAnd the primary comparison difference value of the standard surface temperature value, the standard surface humidity value, the standard illumination intensity, the standard air temperature and the standard air humidity value in the standard environment parameters corresponding to the current raising stage of the live pigs, namely delta p ″ist、Δp″ish、Δp″isi、Δp″iat、Δp″iad respectively represents the secondary comparison difference value of the ground surface temperature, the ground surface humidity, the illumination intensity, the air temperature and the air humidity of the ith gathering subregion and the standard ground surface temperature value, the standard ground surface humidity value, the standard illumination intensity, the standard air temperature and the standard air humidity value in the standard environment parameters corresponding to the current raising stage of the live pigs, and pstStandard of merit、pshStandard of merit、psiStandard of merit、patStandard of merit、padStandard of meritRespectively expressed as standard surface temperature value, standard surface humidity value, standard illumination intensity, standard air temperature, standard air humidity value, fst、fsh、fsi、fat、fadRespectively expressed as the influence coefficients of the surface temperature, the surface humidity, the illumination intensity, the air temperature and the air humidity, the larger the environmental quality coefficient is, the more suitable the environment of the gathering subregion is for the live pig breeding, simultaneously extracting the environmental quality coefficient range corresponding to each level of ventilation in the parameter database, if the counted environmental quality coefficient of each gathering subregion is in the environmental quality coefficient range corresponding to a certain level of ventilation, sending the ventilation control instruction of the level to a ventilation execution terminal, if the statistical environmental quality coefficient is less than the lower limit value of the environmental quality coefficient range corresponding to a certain level of ventilation, and sending a ventilation control instruction one level lower than the level to the ventilation execution terminal, and if the counted environmental quality coefficient is larger than the upper limit value of the environmental quality coefficient range corresponding to the ventilation of a certain level, sending a ventilation control instruction one level higher than the level to the ventilation execution terminal.
The ventilation execution terminal is used for receiving the ventilation control instructions of the gathering subregions sent by the environment parameter analysis module, ventilating the gathering subregions at different levels, improving the live pig breeding environment in time, enabling the live pig breeding environment to reach the optimal state, and achieving the aims of safe production and scientific management.
The regional behavior monitoring module is used for receiving the images of the gathering subregions sent by the regional image dividing module, focusing and amplifying the pig group in the received images of the gathering subregions, wherein the pigs are social animals, various behavior habits exist in the gathering and social process, including thermoregulation behavior, self-cleaning behavior, modification behavior, biting behavior and the like, all behaviors have corresponding behavior characteristics, the behavior characteristics are identified to be not separated from the morphological change of the pigs, morphological subimages of all the pigs in the pig group of the gathering subregions are extracted, the extracted morphological subimages of all the pigs are subjected to gray level normalization processing, the normalized morphological subimages of all the pigs are subjected to position change of the mouth, teeth and nose and are positioned and measured, the position change of the mouth, teeth and nose is recorded in a touch mode with other pigs, and the position change of the mouth, teeth and nose is judged, and the characteristic is taken as a behavior identification characteristic, the shape characteristic changes of the mouth, teeth and nose in the recorded form sub-images of each pig and the touch mode with other pigs are compared with the behavior characteristics corresponding to various pig gathering behaviors stored in the parameter database one by one to determine whether the pig herd in each gathering region image has the biting behavior, the gathering sub-regions with the biting behavior are counted, and the numbers of the biting gathering sub-regions are sent to a monitoring analysis platform.
The monitoring analysis platform receives the numbers of the biting aggregation sub-areas sent by the area behavior monitoring module, receives the aggregation density set of the aggregation sub-areas sent by the aggregation density analysis module, extracts the aggregation density corresponding to the numbers of the aggregation sub-areas with the biting behavior, compares the extracted aggregation density corresponding to the numbers of the biting aggregation sub-areas with the standard aggregation density corresponding to the raising stage of the live pigs respectively, if the extracted aggregation density is higher than the standard aggregation density, predicts that the aggregation density is too high due to the biting behavior of the biting aggregation sub-areas, the pig groups fight and bite the racks due to the positions of the groove positions and the sleeping positions, and predicts that the biting behavior of other biting sub-areas is caused by lack of certain nutritional components, such as salt, mineral calcium phosphorus or trace elements, in the pigs. And the monitoring analysis platform sends an alarm dispelling control instruction to the alarm dispelling terminal, receives the numbers of the unsuccessfully dispelled biting gathering subareas fed back by the alarm dispelling terminal, and sends the numbers to the remote control center.
According to the embodiment, the gathering density of each biting gathering sub-area is analyzed and compared with the standard gathering density corresponding to the live pig feeding stage, so that the biting behavior reason of each biting gathering sub-area is predicted, the system is optimized, the breeding management personnel can conveniently perform corresponding processing according to the predicted biting behavior reason of each biting gathering sub-area, and the rationalization and intelligence of live pig breeding are improved.
Alarm dispels terminal, including the siren, an alarm dispels the control command for receiving the alarm that monitoring analysis platform sent, the siren sends noise alarm signal, look over simultaneously and sting whether the pig that mutually baits in the gathering subregion is dispelled, if there is whole or some baits gathering subregion not dispelled, then record not the gathering subregion serial number of baits that dispel, feed back to monitoring analysis platform, send to remote control center by monitoring analysis platform, send alarm signal to remote control center simultaneously, dispatch relevant managers by remote control center and dispel and stop.
Remote control center, be connected with control analysis platform, a gathering subregion serial number is stung in the avulsion that is used for receiving the unsuccessful dispersion that control analysis platform sent, carry out artifical stop and dispel, simultaneously to the gathering subregion of stinging because of the internal avulsion that lacks some nutrient composition, arrange relevant staff to this sting the swinery that gathers in the subregion and carry out health check, the emergence of swinery casualties phenomenon that the swinery that has avoided stinging because of not dispersing in the delay and bring, can in time carry out health check to the pig that leads to the action of stinging because of lacking certain nutrient composition in the live pig body simultaneously, avoid not in time treating to lead to the state of an illness aggravation, reduce the loss of breeding.
The invention carries out image acquisition and pig group gathering subregion division on the pig activity region of the pig breeding base through the monitoring image acquisition module and the region image division module, carries out environmental parameter acquisition, gathering density statistics and pig group behavior monitoring on each gathering subregion, simultaneously analyzes and counts the environmental quality coefficient of the acquired environmental parameters, carries out ventilation processing of different levels according to the environmental quality coefficient, analyzes whether biting behaviors exist or not through the behavior monitoring of each gathering subregion by pigs, carries out alarm dispersion on the gathering subregions with the pig group biting, realizes the online detection of the pig breeding environment and the real-time monitoring of the pig group gathering behaviors, is convenient for farmers to improve the breeding environment in time, leads the pig breeding environment to reach the best state, improves the breeding efficiency, can effectively and quickly identify the biting phenomenon in the pig group, the pig breeding management system is convenient for relevant management personnel to timely process, reduces the occurrence of pig injury caused by mutual biting of swinery, and embodies the scientific and healthy breeding of the pigs.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (8)
1. A modernized pig breeding base real-time monitoring management system based on big data is characterized in that: comprises a monitoring image acquisition module, an image preprocessing module, a regional image dividing module, an aggregation density analysis module, a regional environment parameter acquisition module, a manual input module, an environment parameter analysis module, a regional behavior monitoring module, a parameter database, a monitoring analysis platform, a ventilation execution terminal and an alarm dispelling terminal, the system comprises an image preprocessing module, an aggregation density analysis module, a regional environment parameter acquisition module, a parameter database, a ventilation execution terminal, a monitoring analysis platform, an alarm dispelling terminal and a monitoring analysis platform, wherein the image preprocessing module is connected with the monitoring image acquisition module, the regional image dividing module is respectively connected with the image preprocessing module, the aggregation density analysis module, the regional environment parameter acquisition module and the regional behavior monitoring module;
the monitoring image acquisition module comprises a camera and is used for acquiring images of pig activity areas of the live pig breeding base, improving the resolution of the acquired images, acquiring high-definition images and sending the high-definition images to the image preprocessing module;
the image preprocessing module receives the high-definition images sent by the monitoring image acquisition module, analyzes the signal-to-noise ratio, compares the analyzed image signal-to-noise ratio with a preset image signal-to-noise ratio threshold value, removes the high-definition images smaller than the preset image signal-to-noise ratio threshold value if the received high-definition image signal-to-noise ratio is smaller than the preset image signal-to-noise ratio threshold value, sends a control instruction to the monitoring image acquisition module, controls the monitoring image acquisition module to continue image shooting of the pig activity area, keeps the images with the image signal-to-noise ratio larger than the preset image signal-to-noise ratio threshold value, and sends the high-definition images larger than the preset image signal-to-noise ratio;
the region image dividing module receives the high-definition images which are sent by the image processing module and are larger than a preset image signal-to-noise ratio threshold, divides the live pig activity region into a plurality of aggregation sub-region images according to live pig aggregation conditions, numbers the aggregation sub-regions according to a preset sequence, and sequentially marks the aggregation sub-regions as 1,2.. i.. n, obtains the areas of the aggregation sub-regions to form an aggregation sub-region area set S (S1, S2.. i.., si.,. i.., sn), wherein si represents the area of the ith aggregation sub-region, and sends the aggregation sub-region area set to the aggregation density analysis module;
the aggregation density analysis module receives the aggregation sub-region area set sent by the image processing module, counts the number of pigs in each aggregation sub-region, obtains an aggregation sub-region pig number set W (W1, W2.,. wi.,. wn.), and the wi is expressed as the pig number of the ith aggregation sub-region, calculates the aggregation density of each aggregation sub-region according to the received aggregation sub-region area set and a density calculation formula, and is recorded as rho i,
construction of aggregatesThe pig aggregation density collection of the sub-region is rho (rho 1, rho 2.., rho i.., rho n), and the aggregation density analysis module sends the pig aggregation density collection of the sub-region to the monitoring analysis platform;
the regional environment parameter acquisition module comprises a plurality of temperature acquisition units, humidity acquisition units and illumination intensity acquisition units, and is used for acquiring the surface temperature, the surface humidity, the illumination intensity, the air temperature and the air humidity of each gathering subregion and sending the acquired environment parameters of each gathering subregion to the environment parameter analysis module;
the artificial input module is used for manually inputting the current feeding stage of the live pigs and sending the current feeding stage to the environmental parameter analysis module;
the parameter database is used for storing standard environmental parameters corresponding to each raising stage of the live pigs, storing behavior characteristics corresponding to various aggregation behaviors of the pigs, storing environmental quality coefficient ranges corresponding to ventilation of all levels, storing standard aggregation density corresponding to each raising stage of the live pigs, and storing influence coefficients of earth surface temperature, earth surface humidity, illumination intensity, air temperature and air humidity;
the environment parameter analysis module is used for receiving the environment parameters of each aggregation subregion sent by the regional environment parameter collection module, receiving the current feeding stage of the pigs sent by the manual input module, extracting the standard environment parameters corresponding to the current feeding stage of the live pigs in the parameter storage database, comparing the received environment parameters of each aggregation subregion with the standard surface temperature value, the standard surface humidity value, the standard illumination intensity, the standard air temperature and the standard air humidity value in the standard environment parameters corresponding to the current feeding stage of the live pigs to obtain the primary environment parameter comparison difference value of each aggregation subregion, re-collecting the environment parameters of each aggregation subregion after a fixed time interval, comparing the re-collected environment parameters with the standard environment parameters corresponding to the current feeding stage of the live pigs to obtain the secondary environment parameter comparison difference value of each aggregation subregion, according to the primary environmental parameter comparison difference and the secondary environmental parameter comparison difference of each gathering subarea, counting the environmental quality coefficient of each gathering subarea, simultaneously extracting the environmental quality coefficient range corresponding to each level of ventilation in the parameter database, if the counted environmental quality coefficient is in the environmental quality coefficient range corresponding to a certain level of ventilation, sending a ventilation control instruction of the level to the ventilation execution terminal, if the counted environmental quality coefficient is less than the lower limit value of the environmental quality coefficient range corresponding to a certain level of ventilation, sending a ventilation control instruction of the level lower than the level to the ventilation execution terminal, and if the counted environmental quality coefficient is greater than the upper limit value of the environmental quality coefficient range corresponding to a certain level of ventilation, sending a ventilation control instruction of the level higher than the level to the ventilation execution terminal;
the ventilation execution terminal is used for receiving the ventilation control instruction of each gathering sub-area sent by the environmental parameter analysis module and ventilating each gathering sub-area at different levels;
the region behavior monitoring module is used for receiving the images of the gathering subregions sent by the region image dividing module, focusing and amplifying the swinery in the received images of the gathering subregions, extracting the shape sub-images of the pigs in the swinery of the gathering subregions, carrying out gray normalization processing on the extracted shape sub-images of the pigs, positioning and measuring the position changes of mouths, teeth and noses of the normalized and nursed shape sub-images of the pigs and recording the position changes of the mouths, teeth and noses of the pigs and the contact modes of the mouths, teeth and noses of the pigs and the behavior characteristics corresponding to the gathering behaviors of the pigs stored in the parameter database one by one, so as to determine whether the swinery in the images of the gathering subregions has the tearing behavior or not, and count the numbers of the tearing gathering subregions, and sending to a monitoring analysis platform;
the monitoring analysis platform receives the numbers of the baited gathering subareas sent by the area behavior monitoring module, simultaneously receives the gathering density set of the gathering subareas sent by the gathering density analysis module, extracts the gathering density corresponding to the numbers of the baited gathering subareas, analyzes and predicts the reason of the baiting behavior, sends an alarm dispelling control instruction to the alarm dispelling terminal, simultaneously receives the numbers of the baited gathering subareas which are not successfully dispelled and fed back by the alarm dispelling terminal, and sends the numbers to the remote control center;
the alarm dispelling terminal comprises an alarm for receiving an alarm dispelling control instruction sent by the monitoring analysis platform, and the alarm sends out a noise alarm sound to dispel the swinery.
2. The big-data-based modern pig breeding base real-time monitoring and management system according to claim 1, wherein: the camera is a wide-angle camera and is used for carrying out all-round monitoring on a pig activity area of a live pig breeding base.
3. The big-data-based modern pig breeding base real-time monitoring and management system according to claim 1, wherein: the dividing method of each gathering subarea is characterized in that a square or circular graph is drawn at a certain pig swarm gathering position by taking a pig swarm gathering point as a center, so that all pigs at the pig swarm gathering position are ensured to be included, the area to which the square or circular graph belongs is the gathering subarea, and the area of each gathering subarea is the area of the square or circular graph.
4. The big-data-based modern pig breeding base real-time monitoring and management system according to claim 1, wherein: the temperature acquisition unit includes first temperature sensor and second temperature sensor, and first temperature sensor is used for detecting the earth's surface temperature of each gathering subregion, and second temperature sensor is used for detecting the air temperature of each gathering subregion, humidity acquisition unit includes first humidity transducer and second humidity transducer, and first humidity transducer is used for detecting the earth's surface humidity of each gathering subregion, and second humidity transducer is used for the air humidity of each gathering subregion, illumination intensity acquisition unit is illumination sensor, and illumination sensor is used for detecting the illumination intensity of each gathering subregion.
5. The big-data-based modern pig breeding base real-time monitoring and management system according to claim 1, wherein: the environmental quality coefficient of each aggregation sub-regionIs calculated by the formula
Is expressed as the ambient mass coefficient of the ith aggregate sub-region, Δ p'ist、Δp′ish、Δp′isi、Δp′iat、Δp′iad respectively represents the primary comparison difference value of the ground surface temperature, the ground surface humidity, the illumination intensity, the air temperature and the air humidity of the ith gathering subregion and the standard ground surface temperature value, the standard ground surface humidity value, the standard illumination intensity, the standard air temperature and the standard air humidity value in the standard environment parameters corresponding to the current raising stage of the live pigs, and is delta p ″ist、Δp″ish、Δp″isi、Δp″iat、Δp″iad respectively represents the secondary comparison difference value of the ground surface temperature, the ground surface humidity, the illumination intensity, the air temperature and the air humidity of the ith gathering subregion and the standard ground surface temperature value, the standard ground surface humidity value, the standard illumination intensity, the standard air temperature and the standard air humidity value in the standard environment parameters corresponding to the current raising stage of the live pigs, and pstStandard of merit、pshStandard of merit、psiStandard of merit、patStandard of merit、padStandard of meritRespectively expressed as standard surface temperature value, standard surface humidity value, standard illumination intensity, standard air temperature, standard air humidity value, fst、fsh、fsi、fat、fadThe values are expressed as the influence coefficients of the surface temperature, the surface humidity, the illumination intensity, the air temperature, and the air humidity.
6. The big-data-based modern pig breeding base real-time monitoring and management system according to claim 1, wherein: the method for analyzing and predicting the reason of the biting behavior is characterized in that the aggregation density corresponding to the extracted numbers of the biting aggregation sub-areas is compared with the standard aggregation density corresponding to the raising stage of the live pigs respectively, if the number of the biting aggregation sub-areas is larger than the standard aggregation density, the reason that the biting behavior occurs in the biting aggregation sub-areas is predicted to be that the aggregation density is too large, a swinery is struggled to bite the frame due to the position of a struggling groove and the position of sleep, and the reason that the biting behavior occurs in other biting sub-areas is predicted to be that the pig is lack of certain nutritional components, such as salt, mineral calcium phosphorus or trace elements.
7. The big-data-based modern pig breeding base real-time monitoring and management system according to claim 1, wherein: the alarm dispelling method specifically comprises the steps that an alarm sends out a noise alarm signal, whether pigs bitten by the pigs mutually in the biting aggregation subareas are dispelled or not is checked, if all or part of the biting aggregation subareas are not dispelled, numbers of the biting aggregation subareas which are not dispelled are recorded and fed back to a monitoring analysis platform, the numbers are sent to a remote control center by the monitoring analysis platform, meanwhile, an alarm signal is sent to the remote control center, and the remote control center dispatches related managers to dispel the pigs.
8. The big-data-based modern pig breeding base real-time monitoring and management system according to claim 7, wherein: still include remote control center, be connected with control analysis platform for the collection subregion serial number is stung in the unsuccessfully of the disappearing of receiving that control analysis platform sent, manual refraining dispels, to the collection subregion of stinging because of the internal bite that lacks the behaviour of some nutrient composition simultaneously, arranges relevant staff to this and stings the swinery in the collection subregion and carry out health check.
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