CN111340342A - Animal breeding analysis and evaluation system based on cloud platform - Google Patents
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Abstract
The invention discloses an animal breeding analysis and evaluation system based on a cloud platform, which comprises an environment detection terminal, a parameter processing optimization module, a feeding amount acquisition module, a cloud server, a regional parameter acquisition module, a parameter updating input module, a variety database and an early warning display terminal, wherein the cloud server is respectively connected with the parameter processing optimization module, the feeding amount acquisition module, the regional parameter acquisition module, the parameter updating input module, the variety database and the early warning display terminal, and the environment detection terminal is connected with the parameter processing optimization module. The method can analyze the influence of the areas outside the target area on the target area, can comprehensively analyze the influence of the health condition of the pigs in other annular sub-areas, the environmental parameters in the areas and other factors on the pigs in the target area, provides a decision-guiding plan according to the size of the breeding risk evaluation coefficient, reduces the probability of pig diseases, and realizes effective evaluation and prevention in the pig breeding process.
Description
Technical Field
The invention belongs to the technical field of animal breeding, and relates to an animal breeding analysis and evaluation system based on a cloud platform.
Background
Along with the continuous pursuit of people to the standard of living, people improve gradually demand and the quality of pork, and the pig in the plant adopts the social life style, and the personnel of breeding of being convenient for manage, improve the efficiency of management, but because the life habit of pig, in case some pig infection is sick among them, very easily lead to sick pig near pig to suffer from illness by its infection, increased the risk that sick pig flows into the daily needs of market confession resident.
At present, partial pigs are affected easily, other pigs in the same environment are affected easily, and meanwhile, as time is prolonged, if the pig disease risk in other nearby pig breeding areas is easily influenced without control, the pigs in large-area pig breeding areas are affected, the prior art cannot be used according to the pig breeding environment and the pig disease conditions in other breeding areas except the pig breeding areas, reasonably analyzing the risk of the pig suffering from the infection in the breeding area, increasing the risk degree of the pig suffering from the infection, meanwhile, once infected and ill, the method increases the breeding cost for the personnel in the farm, increases the labor amount and aggravates the ill risk of the healthy pigs, if the ill pigs flow into the market, the method brings great influence to the healthy life of people, therefore, how to reduce the risk of pig diseases is an urgent desire of vast farmers, and in order to solve the problems, an animal breeding analysis and evaluation system based on a cloud platform is designed.
Disclosure of Invention
The animal breeding analysis and evaluation system based on the cloud platform can analyze the influence of the health condition of pigs in other annular sub-areas and the environmental parameters in a target area by the environment detection terminal, the parameter processing optimization module, the feed amount acquisition module and the cloud server, obtain a breeding risk evaluation coefficient, provide a guide decision plan according to the breeding risk evaluation coefficient, reduce the probability of pig diseases, realize effective health evaluation and prevention in the pig breeding process, solve the problems that the breeding risk of pigs cannot be mastered in the existing breeding process, reasonable decisions cannot be provided according to the breeding risk, and the like, and further cause the problems of high pig disease risk and large breeding risk.
The purpose of the invention can be realized by the following technical scheme:
an animal breeding analysis and evaluation system based on a cloud platform comprises an environment detection terminal, a parameter processing optimization module, a feeding amount acquisition module, a cloud server, an area parameter acquisition module, a parameter updating input module, a variety database and an early warning display terminal;
the cloud server is respectively connected with the parameter processing optimization module, the feeding amount acquisition module, the area parameter acquisition module, the parameter updating input module, the variety database and the early warning display terminal, the environment detection terminal is connected with the parameter processing optimization module, the parameter processing optimization module and the early warning display terminal are respectively connected with the variety database, and the area parameter acquisition module is connected with the parameter updating input module;
the environment detection terminal is used for detecting the temperature and the humidity of the pig in the breeding sub-area at equal time intervals, detecting the content of each bacterial species in each breeding sub-area, and sending the detected temperature and humidity in the breeding sub-area corresponding to each fixed time interval and the content of each bacterial species to the parameter processing optimization module;
the parameter processing and optimizing module is used for receiving the temperature, the humidity and the content of each bacterial species in the breeding subregion where the pigs detected at equal time intervals and sent by the environment detection terminal are located, respectively establishing a temperature acquisition set, a humidity acquisition set and a bacterial species content acquisition set according to the received temperature, humidity and content of each bacterial species in each fixed time interval acquired every day, comparing the acquired temperature in each fixed time interval in the temperature acquisition set corresponding to the t day with the temperature in each fixed time interval corresponding to the t +1 day, comparing the acquired humidity in each fixed time interval in the humidity acquisition set corresponding to the t day with the humidity in each fixed time interval corresponding to the t +1 day, and comparing the quantity corresponding to each bacterial species in each fixed time interval in the bacterial species content acquisition set corresponding to the t day with the quantity corresponding to each bacterial species in each fixed time interval corresponding to the t +1 day Comparing the corresponding quantity of each bacterial species to respectively obtain a temperature difference acquisition set, a humidity difference acquisition set and a bacterial species content difference acquisition set, and respectively sending the acquired temperature difference acquisition set, humidity difference acquisition set and bacterial species content difference acquisition set in each culture sub-area to a cloud server by a parameter processing optimization module;
the feed amount acquisition module is used for detecting the food amount of all pigs in each breeding sub-area taken up in an accumulated mode every day and sending the sum of the detected food amounts of all pigs in each breeding sub-area taken up in each day to the cloud server.
The regional parameter acquisition module is used for detecting the total number of the bred pigs in each ring-shaped subregion in real time, receiving the number of plagues of the pigs in the same day uploaded by each breeding user in each ring-shaped subregion, counting the number of plagues of the pigs in each day, respectively sending the detected total number of the pigs in the ring-shaped subregion and the number of plagues of the pigs in each day to the cloud server and the parameter updating input module, acquiring the distance between each ring-shaped subregion and the target region, and sending the acquired distance between each ring-shaped subregion and the target region to the cloud server;
the parameter updating input module is used for receiving the total number of the pigs in each ring-shaped subregion and the number of the pigs suffering from plague per day sent by the regional parameter acquisition module, and sending the total number of the pigs in each ring-shaped subregion and the number of the pigs suffering from plague per day to the breed database and the cloud server respectively;
the breed database is used for storing the total number of bred pigs in each ring-shaped subregion, the number of pestilences of the pigs in each day, the optimal temperature for pig growth, a temperature variation threshold and a humidity variation threshold which can be borne by the pigs in N days in the breeding process, and bacterial species variation thresholds corresponding to the bacterial species contents, and storing a guiding decision-making plan corresponding to the breeding risk evaluation coefficient being greater than the risk evaluation coefficient threshold;
the cloud server is used for receiving the total number of the pigs in each annular subregion and the number of plagues of the pigs in each day, which are sent by the parameter updating input module, counting the proportion coefficient of the pigs suffering from diseases in each annular subregion every day, counting the disease incidence growth coefficient of the pigs in each annular subregion every day according to the proportion coefficient of the pigs suffering from diseases in each annular subregion every day, and establishing a disease incidence growth coefficient set B by using the disease incidence growth coefficient of the pigs in each annular subregioni(bi1,bi2,...,bit,...,biT)，bi1 is expressed as the proportionality coefficient of day 1 sick pig in the ith annular subregion, bit is expressed as the disease incidence growth coefficient of the pig at the t day in the ith annular subregion, and meanwhile, the cloud server receives the distance between each annular subregion and the target region, which is sent by the region parameter acquisition module, and according to the disease incidence growth coefficient value corresponding to each annular subregionCollecting and counting the regional interference influence coefficient of the distance between each annular subregion and the target region;
the cloud server is used for receiving the temperature difference acquisition set, the humidity difference acquisition set and the bacteria species content difference acquisition set in each breeding subregion sent by the parameter processing optimization module, extracting the mutation quantity of the temperature, the mutation quantity of the humidity and the mutation quantity of each bacteria species content in the same fixed time interval in adjacent N days, comparing the extracted temperature mutation quantity, humidity mutation quantity and mutation quantity of each bacteria species content with a temperature variation threshold value, a temperature variation threshold value and a bacteria species variation threshold value corresponding to each bacteria species content, which can be borne by the pigs in the breeding process on N days and are stored in the breed database, and counting the times W that the extracted temperature variation mutation quantity exceeds the temperature variation threshold value in the same fixed time interval in adjacent N dayscThe number of times S that the humidity change amount exceeds the humidity change amount thresholdcAnd the number Xp of times that the mutation amount of each bacterial species content exceeds the threshold value of the bacterial species variation amount corresponding to each bacterial speciesc；
Meanwhile, the cloud server receives the sum of the daily food intake amounts of all pigs in each breeding subregion sent by the feeding amount acquisition module, calculates the average daily food intake amount of all pigs in each breeding subregion, compares the daily food intake amount of all pigs in each breeding subregion with the average daily food intake amount of all pigs in each breeding subregion, obtains a breeding subregion food intake comparison set, maps according to the numerical value size relationship between the difference value in the breeding subregion food intake comparison set and a set food intake variation threshold value, obtains a food intake mapping set, and the cloud server exceeds the temperature variation threshold value by the temperature variation mutation amount in the same fixed time interval in adjacent N days according to the region interference influence coefficient, the food intake mapping set and the number W of times that the temperature variation mutation amount exceeds the temperature variation threshold value in the same fixed time intervalcThe number of times S that the humidity change amount exceeds the humidity change amount thresholdcAnd the number Xp of times that the mutation amount of each bacterial species content exceeds the threshold value of the bacterial species variation amount corresponding to each bacterial speciescCounting breeding risk evaluation coefficients of breeding pigs in a target area, which are influenced by the environment, and carrying out detection by using a cloud serverThe breeding risk evaluation coefficient of the bred pigs in the target area, which is influenced by the environment, is sent to an early warning display terminal;
the early warning display terminal is used for receiving a breeding risk evaluation coefficient, influenced by the environment, of breeding pigs in a target area sent by the cloud server, displaying the breeding risk evaluation coefficient, comparing the breeding risk evaluation coefficient with a set risk evaluation coefficient threshold, if the breeding risk evaluation coefficient is smaller than the set risk evaluation coefficient threshold, not sending out an early warning signal, and if the breeding risk evaluation coefficient is larger than the set risk evaluation coefficient threshold, extracting a corresponding guiding decision plan in the breed database.
Further, the environment detection terminal comprises a temperature detection module, a humidity detection module and a bacteria detection module, wherein the temperature detection module is a temperature sensor and is used for collecting the temperature of the pig in the farm at equal time intervals and sending the collected temperature in each fixed time period to the parameter processing optimization module, and the humidity detection module is a humidity sensor and is used for collecting the humidity of the pig in the farm at equal time intervals and sending the collected humidity in each fixed time period to the parameter processing optimization module; the bacteria detection module is a bacteria detector and is used for detecting the content of each bacterial species in a farm where pigs are located and sending the detected content of each bacterial species to the parameter processing optimization module.
Furthermore, the proportionality coefficient is equal to the ratio of the number of the pigs suffering from diseases in the annular sub-area to the total number of the pigs cultured in the annular sub-area, and the incidence growth coefficient is equal to the difference value between the proportionality coefficient of the pigs suffering from diseases in the previous day and the proportionality coefficient of the pigs suffering from diseases in the next day in the annular sub-area.
Further, the calculation formula of the regional interference influence coefficient is
β is infectious agent, and is infectious or non-infectious, wherein β is equal to 0.735 if infectious, β is equal to 0.05 if non-infectious, D is infectious distance value in unit, and X isiExpressed as the ith annular subregion from the targetDistance of the area, bit is expressed as the growth factor of the day t pigs in the ith annular subregion, bi(t-1) is expressed as the incidence growth coefficient of the pigs on day t-1 in the ith circular subregion,
expressed as the overall regional interference impact coefficient of each annular subregion on the target region.
Further, a formula for calculating the temperature break amount in the same fixed time interval in adjacent N days
Formula for calculating humidity abrupt change
Formula for calculating mutation amount of each bacterial species content
w′jt′f∈w′jtf，s′jt′f∈s′jtf，hp′jt′f∈hp′jtf,t′＝1,2,...,T-N，LWt′、LSt′、LHpt′Respectively expressed as the temperature, humidity and content of each bacterial species in the f-th fixed time interval of the consecutive N days with t' as the time starting point.
Further, the formula for calculating the breeding risk evaluation coefficient of the breeding pigs in the target area, which is influenced by the environment, is as follows:
c′jt is a mapping numerical value corresponding to the relationship between the difference value corresponding to the intake of all pigs in the j breeding subregion on the t day and the set intake change threshold value, dist (W)c,Sc) Is represented by WcAnd ScThe Euclidean distance is calculated according to the Euclidean distance,
expressed as received by the target areaRegional interference impact coefficient, T is expressed as total number of days monitored, Wc、ScAnd
respectively expressed as the number of times that the temperature change mutation amount exceeds the temperature change amount threshold, the number of times that the humidity change mutation amount exceeds the humidity change amount threshold, and the number of times that the mutation amount of the p-th bacterial species content exceeds the bacterial species change amount threshold corresponding to the individual bacterial species, WThreshold value、SThreshold valueAnd XpThreshold valueRespectively expressed as a temperature variation threshold, a humidity variation threshold, and a bacteria species variation threshold corresponding to the p-th bacteria species.
The invention has the beneficial effects that:
the animal breeding analysis and evaluation system based on the cloud platform obtains the number of the swine fever in each annular sub-area through the parameter updating input module, and the incidence growth coefficient of the pigs every day is counted according to the number of the pigs suffering from the plague, and the regional interference influence coefficient of the plague condition in each annular subregion on the target region is counted by combining the distance between each annular subregion and the target region, the larger the regional interference influence coefficient is, the higher the incidence probability of the pigs in the target area is, the influence condition of the pigs in the target area by the swine fever in other annular sub-areas in the breeding process can be laterally and indirectly reflected through the area interference influence coefficient, reliable data support is provided for the later breeding estimation analysis of the pigs, the difficulty degree and the complexity degree in the breeding process of the pigs can be comprehensively analyzed, and the incidence probability of the pigs caused by environmental problems can be reduced.
Detecting and processing the temperature, the humidity and the content of each bacterial species of the pigs in a target area through an environment detection terminal, a parameter processing optimization module and a feed amount acquisition module in combination with a cloud server to count the times that a temperature change mutation amount exceeds a temperature change amount threshold, the times that a humidity change mutation amount exceeds a humidity change amount threshold and the times that a mutation amount of each bacterial species content exceeds a bacterial species change amount threshold corresponding to each bacterial species, processing and analyzing the average daily food intake amount of all the pigs in each breeding sub-area to obtain a mapping numerical value corresponding to the difference value of the intake amount of all the pigs in each breeding sub-area, and the cloud server counts the breeding risk evaluation coefficient of the bred pigs in the target area, which is influenced by the environment, according to an area interference influence coefficient, an intake amount mapping set and the times that the change amount thresholds of the temperature, the humidity and the bacterial species are respectively exceeded, the influence proportion of the pigs in the target area to the health conditions of the pigs in other annular sub-areas, environmental parameters in the target area and other factors can be comprehensively analyzed, the comprehensive influence condition of the pigs on the external swine fever and the environment in which the pigs are located in the breeding process can be intuitively reflected, meanwhile, a guiding decision-making plan can be provided according to the breeding risk evaluation coefficient, the probability of the pigs suffering from diseases is reduced, and effective evaluation and prevention in the pig breeding process are realized.
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 diagram of an animal breeding analysis and evaluation system based on a cloud platform according to 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, an animal breeding analysis and evaluation system based on a cloud platform includes an environment detection terminal, a parameter processing optimization module, a feed amount acquisition module, a cloud server, an area parameter acquisition module, a parameter update input module, a variety database, and an early warning display terminal;
the cloud server is respectively connected with the parameter processing optimization module, the feeding amount acquisition module, the area parameter acquisition module, the parameter updating input module, the variety database and the early warning display terminal, the environment detection terminal is connected with the parameter processing optimization module, the parameter processing optimization module and the early warning display terminal are respectively connected with the variety database, and the area parameter acquisition module is connected with the parameter updating input module.
Dividing a pig farm into a plurality of breeding subregions, wherein the number of breeding pigs in each breeding subregion is the same, and numbering the divided breeding subregions according to a set sequence, wherein the number of the breeding subregions is 1,2,. the.,. j,. the.., m, and m is expressed as the number of the breeding subregions;
the environment detection terminal is used for detecting the temperature and the humidity of the pig in the breeding sub-area at equal time intervals, detecting the content of each bacterial species in each breeding sub-area, and sending the detected temperature and humidity in the breeding sub-area corresponding to each fixed time interval and the content of each bacterial species to the parameter processing optimization module;
the environment detection terminal comprises a temperature detection module, a humidity detection module and a bacteria detection module, wherein the temperature detection module is a temperature sensor and is used for collecting the temperature of the pig in the farm at equal time intervals and sending the collected temperature in each fixed time period to the parameter processing optimization module, and the humidity detection module is a humidity sensor and is used for collecting the humidity of the pig in the farm at equal time intervals and sending the collected humidity in each fixed time period to the parameter processing optimization module; the bacteria detection module is a bacteria detector and is used for detecting the content of each bacterial species in a farm where pigs are located and sending the detected content of each bacterial species to the parameter processing optimization module;
the fixed time period may be 3 hours or 4 hours, i.e. the temperature, humidity and bacterial content under the growing environment of the animal species are collected once every fixed time period.
The parameter processing optimization module is used for receiving the signals sent by the environment detection terminal and the likeDetecting the temperature, the humidity and the content of each bacterial species in the breeding subarea where the pigs are positioned at time intervals, and respectively establishing a temperature acquisition set W by using the received temperature, humidity and content of each bacterial species acquired every day at fixed time intervalsjt(wjt1,wjt2,...,wjtf,...,wjtg) Humidity collection set Sjt(sjt1,sjt2,...,sjtf,...,sjtg) And the collection Hp of the bacterial species contentjt(hpjt1,hpjt2,...,hpjtf,...,hpjtg) Wherein w isjtf is the temperature corresponding to the f fixed time interval in the t day in the j culture sub-area, sjtf is humidity, hp corresponding to the f fixed time interval in the t day of the j culture sub-areajtf is expressed as the corresponding number of the p-th bacterial species in the f-th fixed time interval in the t-th culture sub-area in the j-th culture sub-area, HpjtExpressed as a set of quantity corresponding to the p-th bacterial species in the t day in the j-th breeding sub-area, comparing the temperature in each fixed time interval in the temperature collection set corresponding to the t day with the temperature in each fixed time interval corresponding to the t +1 th day, comparing the humidity in each fixed time interval in the humidity collection set corresponding to the t day with the humidity in each fixed time interval corresponding to the t +1 th day, comparing the quantity corresponding to each bacterial species in each fixed time interval in the bacteria species content collection set corresponding to the t day with the quantity corresponding to each bacterial species in each fixed time interval corresponding to the t +1 th day, and respectively obtaining a temperature difference collection set Wj′t(w′jt1,w′jt2,...,w′jtf,...,w′jtg) Humidity difference collection set Sj′t(s′jt1,s′jt2,...,s′jtf,...,s′jtg) And a bacteria species content difference collection set Hp'jt(hp′jt1,hp′jt2,...,hp′jtf,...,hp′jtg) Wherein, w'jtf is the f fixed time interval corresponding to the t +1 th day in the j breeding subregionThe difference between the temperature in (d) and the temperature in the f fixed time interval corresponding to the t day, s'jtf is the difference value hp 'between the humidity in the f fixed time interval corresponding to the t +1 day in the j cultivation subarea and the humidity in the f fixed time interval corresponding to the t day'jtf is the difference value between the number of the p-th bacteria species in the f-th fixed time interval corresponding to the T +1 th day in the j-th cultivation sub-area and the number of the p-th bacteria species in the f-th fixed time interval corresponding to the T-th day, g is the number of times of the fixed time interval divided every day, p is the number of the bacteria species, T is 1,2, T, p is 1, 2.
The feed amount acquisition module is used for detecting the food amount of all pigs in each breeding sub-area taken up in an accumulated mode every day and sending the detected food amount of all pigs in each breeding sub-area taken up in each day to the cloud server. Taking a region where a detected breeding pig is located as a target region, taking the target region as a center, dividing the region into a plurality of annular subregions, wherein the distance between every two adjacent annular subregions is the same, sequencing the annular subregions from near to far away from the target region, and respectively representing the number of the annular subregions as 1, 2.
The regional parameter acquisition module is used for detecting the total number of the bred pigs in each ring-shaped subregion in real time, receiving the number of plagues of the pigs in the same day uploaded by each breeding user in each ring-shaped subregion, counting the number of plagues of the pigs in each day, respectively sending the detected total number of the pigs in the ring-shaped subregion and the number of plagues of the pigs in each day to the cloud server and the parameter updating input module, acquiring the distance between each ring-shaped subregion and the target region, and sending the acquired distance between each ring-shaped subregion and the target region to the cloud server;
the parameter updating input module is used for receiving the total number of the pigs in each ring-shaped subregion and the number of the pigs suffering from plague per day sent by the regional parameter obtaining module, and sending the total number of the pigs in each ring-shaped subregion and the number of the pigs suffering from plague per day to the breed database and the cloud server respectively;
the breed database is used for storing the total number of the bred pigs in each ring-shaped subregion, the number of plagues of the pigs per day, the optimal temperature of the pig growth, a temperature variation threshold and a humidity variation threshold which can be borne by the pigs in N days in the breeding process, and bacterial species variation thresholds corresponding to the bacterial species contents, and storing a guidance decision plan corresponding to the breeding risk evaluation coefficient being greater than the risk evaluation coefficient threshold, wherein the optimal temperature is 20 ℃, and the guidance decision plan refers to a guidance plan aiming at the breeding risk evaluation coefficient being greater than the risk evaluation coefficient threshold;
the cloud server is used for receiving the total number of the pigs in each annular sub-area and the number of plagues of the pigs in each day, which are sent by the parameter updating input module, counting the proportion coefficient of the pigs suffering from diseases in each annular sub-area every day, counting the disease growth coefficient of the pigs in each annular sub-area every day according to the proportion coefficient of the pigs suffering from diseases in each annular sub-area every day, and establishing a disease growth coefficient set B by using the disease growth coefficients of the pigs in each annular sub-areai(bi1,bi2,...,bit,...,biT)，bi1 is expressed as the proportionality coefficient of day 1 sick pig in the ith annular subregion, bit is expressed as the morbidity growth coefficient of the pigs at the t day in the ith annular subregion, the proportionality coefficient is equal to the ratio of the number of the sick pigs in the annular subregion to the total number of the bred pigs in the annular subregion, the morbidity growth coefficient is equal to the difference value of the proportionality coefficient of the sick pigs at the previous day in the annular subregion and the proportionality coefficient of the sick pigs at the next day, meanwhile, the cloud server receives the distance between each annular subregion and the target region sent by the region parameter acquisition module, the regional interference influence coefficient is counted according to the morbidity growth coefficient value set corresponding to each annular subregion and the distance between each annular subregion and the target region, and the calculation formula of the regional interference influence coefficient is that
β is infectious agent, and is infectious or non-infectious, wherein β is equal to 0.735 if infectious, β is equal to 0.05 if non-infectious, D is infectious distance value in unit, and X isiExpressed as the distance of the ith annular subregion from the target region, bit is expressed as the growth factor of the day t pigs in the ith annular subregion, bi(t-1) is expressed as the incidence growth coefficient of the pigs on day t-1 in the ith circular subregion,
the influence coefficient of the interference of each annular subregion on the whole region of the target region is expressed, and the larger the influence coefficient of the region interference is, the larger the influence degree of the attack of the pigs in other annular subregions on the pigs in the target region is.
The cloud server is used for receiving the temperature difference acquisition set, the humidity difference acquisition set and the bacteria species content difference acquisition set in each breeding subregion sent by the parameter processing optimization module, extracting the temperature mutation amount, the humidity mutation amount and the bacteria species content mutation amount in the same fixed time interval in adjacent N days, comparing the extracted temperature mutation amount, humidity mutation amount and bacteria species content mutation amount with a temperature variation threshold value, a temperature variation threshold value and a bacteria species variation threshold value corresponding to each bacteria species content, which can be borne by the pigs in the breeding process on N days and are stored in the breed database, and counting the times W that the extracted temperature variation mutation amount exceeds the temperature variation threshold value in the same fixed time interval in adjacent N dayscThe number of times S that the humidity change amount exceeds the humidity change amount thresholdcAnd the number Xp of times that the mutation amount of each bacterial species content exceeds the threshold value of the bacterial species variation amount corresponding to each bacterial speciesc。
Wherein, the formula for calculating the temperature break variable in the same fixed time interval in adjacent N days
Formula for calculating humidity abrupt change
Formula for calculating mutation amount of each bacterial species content
w′jt′f∈w′jtf，s′jt′f∈s′jtf，hp′jt′f∈hp′jtf,t′＝1,2,...,T-N，LWt′、LSt′、LHpt′Respectively expressed as the temperature, humidity and content of each bacterial species in the f-th fixed time interval of the consecutive N days with t' as the time starting point.
Meanwhile, the cloud server receives the daily food intake amount of all pigs in each breeding sub-area sent by the feeding amount acquisition module, the average daily food intake amount of all pigs in each breeding sub-area is obtained, the average daily food intake amount of all pigs in each breeding sub-area is equal to the ratio of the sum of the daily food intake amounts of all pigs in each breeding sub-area to the total amount of the breeding sub-areas, the daily food intake amount of all pigs in each breeding sub-area is compared with the average daily food intake amount of all pigs in each breeding sub-area, and a breeding sub-area food intake comparison set C is obtainedj(cj1,cj2,...,cjt,...,cjT)，cjt is expressed as the difference value of the average daily food intake of all pigs in the j-th breeding subregion on the t day and all pigs corresponding to the breeding subregion on the t day, and the intake mapping set C is obtained by mapping according to the numerical value size relationship between the difference value in the breeding subregion intake comparison set and the set intake variation threshold valuej′(c′j1,c′j2,...,c′jt,...,c′jT),c′jt is a mapping numerical value corresponding to the relationship between the difference value corresponding to the intake of all the pigs in the j-th breeding subregion on the t day and the set intake change threshold value, and c 'is carried out when the difference value between the intake of all the pigs in the j-th breeding subregion on the t day and the average intake food amount per day of all the pigs in the breeding subregion on the t day is more than the set intake change threshold value'jthe value of the mapping of t is equal to 0 if the t isC 'when the difference value of the food intake of all pigs in the j-th breeding subregion of day and the average daily food intake of all pigs corresponding to the breeding subregion of the t-th day is less than the set intake variation threshold value'jt is equal to 1, and the cloud server exceeds the temperature variation threshold value by the temperature variation mutation within the same fixed time interval within adjacent N days according to the regional interference influence coefficient, the intake mapping set and the frequency WcThe number of times S that the humidity change amount exceeds the humidity change amount thresholdcAnd the number Xp of times that the mutation amount of each bacterial species content exceeds the threshold value of the bacterial species variation amount corresponding to each bacterial speciescCounting the breeding risk evaluation coefficient of the breeding pigs in the target area affected by the environment
c′jt is a mapping numerical value corresponding to the relationship between the difference value corresponding to the intake of all pigs in the j breeding subregion on the t day and the set intake change threshold value, dist (W)c,Sc) Is represented by WcAnd ScThe Euclidean distance is calculated according to the Euclidean distance,
expressed as the regional interference influence coefficient suffered by the target region, T is expressed as the total number of days monitored, Wc、ScAnd
respectively expressed as the number of times that the temperature change mutation amount exceeds the temperature change amount threshold, the number of times that the humidity change mutation amount exceeds the humidity change amount threshold, and the number of times that the mutation amount of the p-th bacterial species content exceeds the bacterial species change amount threshold corresponding to the individual bacterial species, WThreshold value、SThreshold valueAnd XpThreshold valueRespectively expressed as a temperature variation threshold, a humidity variation threshold and a bacterial species variation threshold corresponding to the pth bacterial species, the larger the breeding risk evaluation coefficient is, the larger the influence of the swine fever in the annular sub-area outside the target area on the target area is, the larger the influence on the target area is, namely, the larger the probability of the swine disease in the target area is, and the cloud clothes are wornThe server sends the detected breeding risk evaluation coefficient of the bred pigs in the target area, which is influenced by the environment, to the early warning display terminal;
the early warning display terminal is used for receiving a breeding risk evaluation coefficient, influenced by the environment, of breeding pigs in a target area, sent by the cloud server, displaying the breeding risk evaluation coefficient, comparing the breeding risk evaluation coefficient with a set risk evaluation coefficient threshold, if the breeding risk evaluation coefficient is smaller than the set risk evaluation coefficient threshold, not sending a early warning signal, and if the breeding risk evaluation coefficient is larger than the set risk evaluation coefficient threshold, extracting a corresponding guiding decision plan in the breed database to guide a user to breed the pigs reasonably, and reducing the risk in the pig breeding process.
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 (6)
1. The utility model provides an animal breeding analysis and evaluation system based on cloud platform which characterized in that: the system comprises an environment detection terminal, a parameter processing optimization module, a feeding amount acquisition module, a cloud server, an area parameter acquisition module, a parameter updating input module, a variety database and an early warning display terminal;
the cloud server is respectively connected with the parameter processing optimization module, the feeding amount acquisition module, the area parameter acquisition module, the parameter updating input module, the variety database and the early warning display terminal, the environment detection terminal is connected with the parameter processing optimization module, the parameter processing optimization module and the early warning display terminal are respectively connected with the variety database, and the area parameter acquisition module is connected with the parameter updating input module;
the environment detection terminal is used for detecting the temperature and the humidity of the pig in the breeding sub-area at equal time intervals, detecting the content of each bacterial species in each breeding sub-area, and sending the detected temperature and humidity in the breeding sub-area corresponding to each fixed time interval and the content of each bacterial species to the parameter processing optimization module;
the parameter processing and optimizing module is used for receiving the temperature, the humidity and the content of each bacterial species in the breeding subregion where the pigs detected at equal time intervals and sent by the environment detection terminal are located, respectively establishing a temperature acquisition set, a humidity acquisition set and a bacterial species content acquisition set according to the received temperature, humidity and content of each bacterial species in each fixed time interval acquired every day, comparing the acquired temperature in each fixed time interval in the temperature acquisition set corresponding to the t day with the temperature in each fixed time interval corresponding to the t +1 day, comparing the acquired humidity in each fixed time interval in the humidity acquisition set corresponding to the t day with the humidity in each fixed time interval corresponding to the t +1 day, and comparing the quantity corresponding to each bacterial species in each fixed time interval in the bacterial species content acquisition set corresponding to the t day with the quantity corresponding to each bacterial species in each fixed time interval corresponding to the t +1 day Comparing the corresponding quantity of each bacterial species to respectively obtain a temperature difference acquisition set, a humidity difference acquisition set and a bacterial species content difference acquisition set, and respectively sending the acquired temperature difference acquisition set, humidity difference acquisition set and bacterial species content difference acquisition set in each culture sub-area to a cloud server by a parameter processing optimization module;
the feed amount acquisition module is used for detecting the food amount of all pigs in each breeding sub-area taken up in an accumulated mode every day and sending the sum of the detected food amounts of all pigs in each breeding sub-area taken up in each day to the cloud server.
The regional parameter acquisition module is used for detecting the total number of the bred pigs in each ring-shaped subregion in real time, receiving the number of plagues of the pigs in the same day uploaded by each breeding user in each ring-shaped subregion, counting the number of plagues of the pigs in each day, respectively sending the detected total number of the pigs in the ring-shaped subregion and the number of plagues of the pigs in each day to the cloud server and the parameter updating input module, acquiring the distance between each ring-shaped subregion and the target region, and sending the acquired distance between each ring-shaped subregion and the target region to the cloud server;
the parameter updating input module is used for receiving the total number of the pigs in each ring-shaped subregion and the number of the pigs suffering from plague per day sent by the regional parameter acquisition module, and sending the total number of the pigs in each ring-shaped subregion and the number of the pigs suffering from plague per day to the breed database and the cloud server respectively;
the breed database is used for storing the total number of bred pigs in each ring-shaped subregion, the number of pestilences of the pigs in each day, the optimal temperature for pig growth, a temperature variation threshold and a humidity variation threshold which can be borne by the pigs in N days in the breeding process, and bacterial species variation thresholds corresponding to the bacterial species contents, and storing a guiding decision-making plan corresponding to the breeding risk evaluation coefficient being greater than the risk evaluation coefficient threshold;
the cloud server is used for receiving the total number of the pigs in each annular subregion and the number of plagues of the pigs in each day, which are sent by the parameter updating input module, counting the proportion coefficient of the pigs suffering from diseases in each annular subregion every day, counting the disease incidence growth coefficient of the pigs in each annular subregion every day according to the proportion coefficient of the pigs suffering from diseases in each annular subregion every day, and establishing a disease incidence growth coefficient set B by using the disease incidence growth coefficient of the pigs in each annular subregioni(bi1,bi2,...,bit,...,biT)，bi1 is expressed as the proportionality coefficient of day 1 sick pig in the ith annular subregion, bit is expressed as the morbidity growth coefficient of the pig at the t day in the ith annular subregion, meanwhile, the cloud server receives the distance between each annular subregion and the target region, which is sent by the region parameter acquisition module, and the region interference influence coefficient is counted according to the morbidity growth coefficient value set corresponding to each annular subregion and the distance between each annular subregion and the target region;
the cloud server is used for receiving the temperature difference acquisition set, the humidity difference acquisition set and the bacteria species content difference acquisition set in each cultivation sub-area sent by the parameter processing optimization module, extracting the mutation quantity of the temperature, the mutation quantity of the humidity and the mutation quantity of the bacteria species content in the same fixed time interval in adjacent N days, and enabling the extracted temperature mutation quantity, humidity mutation quantity and bacteria species content to be highThe mutation quantity of the quantity is respectively compared with a temperature variation threshold value and a temperature variation threshold value which can be borne by the pig in N days in the breeding process and a bacteria species variation threshold value corresponding to the content of each bacteria species stored in a breed database, and the extracted times W that the temperature variation mutation quantity exceeds the temperature variation threshold value in the same fixed time interval in adjacent N days are countedcThe number of times S that the humidity change amount exceeds the humidity change amount thresholdcAnd the number Xp of times that the mutation amount of each bacterial species content exceeds the threshold value of the bacterial species variation amount corresponding to each bacterial speciesc；
Meanwhile, the cloud server receives the sum of the daily food intake amounts of all pigs in each breeding subregion sent by the feeding amount acquisition module, calculates the average daily food intake amount of all pigs in each breeding subregion, compares the daily food intake amount of all pigs in each breeding subregion with the average daily food intake amount of all pigs in each breeding subregion, obtains a breeding subregion food intake comparison set, maps according to the numerical value size relationship between the difference value in the breeding subregion food intake comparison set and a set food intake variation threshold value, obtains a food intake mapping set, and the cloud server exceeds the temperature variation threshold value by the temperature variation mutation amount in the same fixed time interval in adjacent N days according to the region interference influence coefficient, the food intake mapping set and the number W of times that the temperature variation mutation amount exceeds the temperature variation threshold value in the same fixed time intervalcThe number of times S that the humidity change amount exceeds the humidity change amount thresholdcAnd the number Xp of times that the mutation amount of each bacterial species content exceeds the threshold value of the bacterial species variation amount corresponding to each bacterial speciescCounting the breeding risk evaluation coefficient of the breeding pigs in the target area, which are influenced by the environment, and sending the detected breeding risk evaluation coefficient of the breeding pigs in the target area, which are influenced by the environment, to an early warning display terminal by the cloud server;
the early warning display terminal is used for receiving a breeding risk evaluation coefficient, influenced by the environment, of breeding pigs in a target area sent by the cloud server, displaying the breeding risk evaluation coefficient, comparing the breeding risk evaluation coefficient with a set risk evaluation coefficient threshold, if the breeding risk evaluation coefficient is smaller than the set risk evaluation coefficient threshold, not sending out an early warning signal, and if the breeding risk evaluation coefficient is larger than the set risk evaluation coefficient threshold, extracting a corresponding guiding decision plan in the breed database.
2. The cloud platform-based animal farming analytical evaluation system of claim 1, wherein: the environment detection terminal comprises a temperature detection module, a humidity detection module and a bacteria detection module, wherein the temperature detection module is a temperature sensor and is used for collecting the temperature of the pig in the farm at equal time intervals and sending the collected temperature in each fixed time period to the parameter processing optimization module, and the humidity detection module is a humidity sensor and is used for collecting the humidity of the pig in the farm at equal time intervals and sending the collected humidity in each fixed time period to the parameter processing optimization module; the bacteria detection module is a bacteria detector and is used for detecting the content of each bacterial species in a farm where pigs are located and sending the detected content of each bacterial species to the parameter processing optimization module.
3. The cloud platform-based animal farming analytical evaluation system of claim 1, wherein: the proportional coefficient is equal to the ratio of the number of the pigs suffering from diseases in the annular sub-area to the total number of the pigs cultured in the annular sub-area, and the incidence growth coefficient is equal to the difference value of the proportional coefficient of the pigs suffering from diseases in the previous day and the proportional coefficient of the pigs suffering from diseases in the next day in the annular sub-area.
4. The cloud platform-based animal farming analytical evaluation system of claim 1, wherein: the calculation formula of the regional interference influence coefficient is
β is infectious agent, and is infectious or non-infectious, wherein β is equal to 0.735 if infectious, β is equal to 0.05 if non-infectious, D is infectious distance value in unit, and X isiExpressed as the distance of the ith annular subregion from the target region, bit is expressed in the ith annular sub-regionThe growth factor of the disease in pigs on day t, bi(t-1) is expressed as the incidence growth coefficient of the pigs on day t-1 in the ith circular subregion,
expressed as the overall regional interference impact coefficient of each annular subregion on the target region.
5. The cloud platform-based animal farming analytical evaluation system of claim 4, wherein: formula for calculating temperature break variable in same fixed time interval in adjacent N days
Formula for calculating humidity abrupt change
Formula for calculating mutation amount of each bacterial species content
w′jt′f∈w′jtf，s′jt′f∈s′jtf，hp′jt′f∈hp′jtf，t′＝1,2,...,T-N，LWt′、LSt′、LHpt′Respectively expressed as the temperature, humidity and content of each bacterial species in the f-th fixed time interval of the consecutive N days with t' as the time starting point.
6. The cloud platform-based animal farming analytical evaluation system of claim 1, wherein: the calculation formula of the breeding risk evaluation coefficient of the breeding pigs in the target area, which is influenced by the environment, is as follows:
c′jt represents that the difference value corresponding to the intake of all pigs in the j breeding sub-area on the t day is larger than the set intake variation threshold valueThe mapped value, dist (W) corresponding to the small relationc,Sc) Is represented by WcAnd ScThe Euclidean distance is calculated according to the Euclidean distance,
expressed as the regional interference influence coefficient suffered by the target region, T is expressed as the total number of days monitored, Wc、ScAnd XpcRespectively expressed as the number of times that the temperature change mutation amount exceeds the temperature change amount threshold, the number of times that the humidity change mutation amount exceeds the humidity change amount threshold, and the number of times that the mutation amount of the p-th bacterial species content exceeds the bacterial species change amount threshold corresponding to the individual bacterial species, WThreshold value、SThreshold valueAnd XpThreshold valueRespectively expressed as a temperature variation threshold, a humidity variation threshold, and a bacteria species variation threshold corresponding to the p-th bacteria species.
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