An intelligent management and control system and method based on a pig environmental nutrition demand decision model

Abstract

The present application relates to a kind of intelligent management and control system and method based on pig environmental nutrition demand decision model, belong to intelligent breeding technical field.Purpose pig house unit is raised different kinds of different growth stages of live pig, and the environmental information of each unit and different positions in pig house is collected by environmental intelligent inspection module, and the live pig information of each unit in pig house is recorded by live pig feeding intelligent management module, and the comfortable environment parameter of live pig in each unit in pig house and daily nutrition feeding plan are obtained by the dynamic decision module of environment and nutrition demand according to the environmental information and live pig information of each unit and different positions in pig house, and then the environment of pig house unit is regulated to comfortable environment, and live pig in corresponding stall is fed according to daily nutrition feeding plan.The present application is based on the nutrition and environment linkage required by different live pig species and different growth stages of live pig growth, realizes intelligent regulation and control pig house environment and accurate nutrition feeding live pig.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent breeding, in particular to an intelligent management and control system and method based on a pig environmental nutrition demand decision model. BACKGROUND

[0002] The growth rate and health condition of live pigs are closely related to the feeding environment, and nutrition and environment will directly affect the health of the pig population. Live pigs at different growth stages have different requirements for feed nutrition and growth environment. If the feeding environment is not suitable, the production performance of live pigs cannot be fully developed, resulting in a decrease in feed conversion rate and waste. Therefore, to improve the production performance of live pigs at different production stages requires fine management and control of nutrition supply and environmental regulation. At present, the feed formula of most pig farms is relatively fine, but there is a lack of fine and differentiated feeding, especially precise feeding based on different feeding environments. Therefore, intelligent management and control based on the differentiated needs of live pigs at different growth stages for environment and nutrition are needed for the welfare, precision and intelligent breeding of live pigs. SUMMARY

[0003] The purpose of the present application is to provide an intelligent management and control system and method based on a pig environmental nutrition demand decision model, which integrates the nutrition required for the growth of live pigs at different growth stages and the feeding environment, to achieve intelligent regulation of pig house environment and precise feeding.

[0004] To achieve the above-mentioned purpose, the present application provides the following solutions:

[0005] An intelligent management and control system based on a pig environmental nutrition demand decision model, comprising: an environmental intelligent inspection module, a live pig feeding intelligent management module, an environmental and nutrition demand dynamic decision module, an environmental intelligent regulation module and an intelligent feeding module;

[0006] The environmental intelligent inspection module and the live pig feeding intelligent management module are connected with the environmental and nutrition demand dynamic decision module; the environmental intelligent inspection module is used for real-time inspection and collection of environmental information at different positions in different units of the pig house;

[0007] The live pig feeding intelligent management module is used for automatic recording of live pig information in each unit of the pig house; the live pig information includes live pig species, growth stage and quantity;

[0008] The environmental and nutrition demand dynamic decision module is used for cooperative linkage decision-making according to the environmental information and the live pig information in the pig house to obtain the most suitable environmental parameters and daily nutrition feeding plan of live pigs in each unit of the pig house;

[0009] The environment and nutrition requirement dynamic decision module is connected with the environment intelligent control module and the intelligent feeding module respectively; the environment intelligent control module is used for intelligently adjusting the equipment operation in the corresponding unit according to the optimum environment parameter; and the intelligent feeding module is used for feeding the pigs in the corresponding unit according to the daily nutrition feeding plan.

[0010] Optionally, the environment intelligent inspection module comprises an inspection track, a moving device, a temperature and humidity sensor, a wind speed sensor and an ammonia sensor.

[0011] The inspection track is arranged on the top of the pig house, and the temperature and humidity sensor, the wind speed sensor and the ammonia sensor are all built on the inspection track through the moving device; the moving device drives the temperature and humidity sensor, the wind speed sensor and the ammonia sensor to move on the inspection track, and the temperature and humidity sensor, the wind speed sensor and the ammonia sensor can inspect the specified area in the pig house in real time.

[0012] The temperature and humidity sensor, the wind speed sensor and the ammonia sensor are all connected with the environment and nutrition requirement dynamic decision module; the environment and nutrition requirement dynamic decision module is used for receiving the temperature and humidity detected by the temperature and humidity sensor at each inspection point of the pig house, the wind speed detected by the wind speed sensor at each inspection point of the pig house, and the ammonia concentration detected by the ammonia sensor at each inspection point of the pig house.

[0013] Optionally, the environment and nutrition requirement dynamic decision module decides the optimum environment parameter of each unit in the pig house and the daily nutrition feeding plan of the pigs, and the environment and nutrition requirement dynamic decision module used for the daily nutrition feeding plan is as follows:

[0014]

[0015] ET 标 =T air +0.0015(RH-50)T air -0.15(42-T air )(V 0.66 -0.2 0.66 )

[0016]

[0017] H=H 设定

[0018] NH3=NH3 设定

[0019] In the formula, G 料 represents the daily ration decision nutrition amount of the pigs, G 标 represents the reference feeding amount of all the pigs, K represents the feeding coefficient of pigs of different types and in different growth stages, F represents the growth coefficient of the pigs in the current growth stage, S represents the time length of the pigs in the current growth stage, and S 周期represents the length of the current growth stage of the pig feeding cycle, N represents the total number of pigs in the unit, N 栏 represents the number of feeding pens in the unit;

[0020] ET 标 represents the effective temperature, T air represents the real-time temperature monitored by the sensor, RH represents the real-time humidity monitored by the sensor, and V represents the real-time wind speed monitored by the sensor;

[0021] T represents the decision environment comfort temperature parameter, A represents the change judgment value, L represents the average feed-meat ratio, and K' represents the change coefficient;

[0022] H represents the decision environment comfort humidity parameter, H 设定 represents the set comfort humidity;

[0023] NH3 represents the decision environment comfort ammonia concentration parameter, NH3 设定 represents the set comfort ammonia concentration.

[0024] Optionally, the environmental intelligent control module comprises an environmental controller and an environmental control device;

[0025] The environmental controller is connected with the environmental and nutritional demand dynamic decision module and the environmental control device respectively;

[0026] The environmental controller is used to obtain the optimum environmental parameters and environmental information from the environmental and nutritional demand dynamic decision module, to formulate an environmental control scheme for adjusting the temperature, humidity, ammonia concentration and wind speed in the pig house according to the optimum environmental parameters and environmental information, and to control the operation of the environmental control device according to the environmental control scheme.

[0027] Optionally, the environmental intelligent control device comprises a fan, a pump, a heat preservation device, a manure cleaning device and a odor treatment device.

[0028] An intelligent management and control method based on a pig environmental and nutritional demand decision model, comprising:

[0029] Collecting environmental information and pig information in each unit of the pig house; the pig information includes pig species, growth stage and quantity;

[0030] According to the environmental information and the pig information, the environmental and nutritional demand dynamic decision module is used to determine the optimum environmental parameters of the pigs in the pig house and the daily nutritional feeding plan;

[0031] Adjusting the environment of the corresponding unit of the pig house according to the optimum environmental parameters;

[0032] Feeding the pigs in the corresponding pig house unit according to the daily nutritional feeding plan.

[0033] Optionally, the environment information includes temperature and humidity, wind speed, and ammonia concentration.

[0034] Optionally, the environment and nutrition requirement dynamic decision module is

[0035]

[0036] ET 标 = T air + 0.0015(RH-50)T air - 0.15(42-T air )(V 0.66 - 0.2 0.66 )

[0037]

[0038] H = H 设定

[0039] NH3 = NH3 设定

[0040] In the formula, G 料 represents the daily pig house unit decision nutrition amount of the live pig, G 标 represents the reference feeding amount of all live pigs, K represents the feeding coefficient of live pigs of different types and different growth stages, F represents the growth coefficient of the current growth stage of the live pig, S represents the time length of the live pig that has been fed in the current growth stage, S 周期 represents the feeding cycle time length of the live pig in the current growth stage set by the feeding process, N represents the total amount of unit feeding live pigs, N 栏 represents the number of feeding pens of the unit;

[0041] ET 标 represents the effective temperature, T air represents the real-time temperature monitored by the sensor, RH represents the real-time humidity monitored by the sensor, and V represents the real-time wind speed monitored by the sensor.

[0042] T represents the decision environment comfort temperature parameter, A represents the change judgment value, L represents the average feed-meat ratio, and K' represents the change coefficient.

[0043] H represents the decision environment comfort humidity parameter, H 设定 represents the set comfort humidity.

[0044] NH3 represents the decision environment comfort ammonia concentration parameter, NH3 设定 represents the set comfort ammonia concentration.

[0045] Optionally, the live pig information further comprises: the number of transfer pens of live pigs in different growth stages, the transfer time, the transfer-out pen information, the transfer-in pen information, the live pig feeding quantity, the building information, the feeding coefficient, the growth coefficient and the stage period.

[0046] According to the specific embodiments of the present application, the following technical effects are disclosed:

[0047] The application discloses an intelligent management and control system and method based on a pig environment and nutrition demand decision model, which is used for live pigs in different growth stages in a pig house. The system comprises an environment intelligent inspection module, a live pig feeding intelligent management module and an environment and nutrition demand dynamic decision module. The environment intelligent inspection module is used for collecting real-time environment information of different units in the pig house and different positions in the units. The live pig feeding intelligent management module is used for automatically recording live pig information of each pen in the pig house. The environment and nutrition demand dynamic decision module is used for cooperatively and linkingly deciding comfortable environment parameters of live pigs in each unit in the pig house and a daily nutrition feeding plan according to the real-time environment information of different units in the pig house and different positions in the units and the live pig information, and then intelligently controlling operation of various devices in the pig house, regulating the environment in the pig house to a suitable environment, and feeding live pigs in the corresponding units according to the daily nutrition feeding plan. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed in the embodiments. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor.

[0049] Figure 1 The information transmission and control schematic diagram of the intelligent management and control system based on the pig environment and nutrition demand decision model provided by the first embodiment of the present application;

[0050] Figure 2 The environment intelligent inspection module schematic diagram provided by the first embodiment of the present application;

[0051] Figure 3 The information transmission and control schematic diagram of the intelligent management and control system based on the pig environment and nutrition demand decision model provided by the first embodiment of the present application;

[0052] Figure 4 The environment and nutrition demand dynamic decision module schematic diagram of the intelligent management and control system based on the pig environment and nutrition demand decision model provided by the first embodiment of the present application. DETAILED DESCRIPTION

[0053] With reference to the accompanying drawings: clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the scope of the present application.

[0054] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0055] Embodiment one

[0056] In order to solve the problem that the pig feed formula of most pig farms is relatively fine and the feeding is not fine and differentiated enough, the embodiments of the present application provide an intelligent management and control system based on a pig environmental nutrition demand decision model, which can intelligently regulate and control the pig house environment and accurately feed based on the nutrition and environmental linkage required by pigs in different growth stages.

[0057] Figure 1 The information transmission schematic diagram of the intelligent management and control system based on the pig environmental nutrition demand decision model provided in the embodiments of the present application. The intelligent management and control system based on the pig environmental nutrition demand decision model provided in the embodiments of the present application comprises an environmental intelligent inspection module, a pig feeding intelligent management module, an environmental and nutrition demand dynamic decision module, an environmental intelligent regulation and control module and an intelligent feeding module. The environmental intelligent inspection module and the pig feeding intelligent management module are connected with the environmental and nutrition demand dynamic decision module; the environmental intelligent inspection module collects environmental information of different units in the pig house and different positions in the units in real time; the pig feeding intelligent management module is used for automatically recording pig information of each unit in the pig house; the pig information comprises pig growth stage and information such as unit and stall. The environmental and nutrition demand dynamic decision module is used for obtaining optimal environmental parameters of pigs in each unit in the pig house and daily nutrition feeding plan through collaborative linkage decision according to each item of environmental information and pig information of different units in the pig house and different positions in the units. The environmental and nutrition demand dynamic decision module is connected with the environmental intelligent regulation and control module and the intelligent feeding module; the environmental intelligent regulation and control module is used for adjusting the environment of the corresponding unit according to the optimal environmental parameters; and the intelligent feeding module is used for feeding pigs in the corresponding unit according to the daily nutrition feeding plan.

[0058] Each module in the intelligent management and control system based on the pig environmental nutrition demand decision model will be described in detail below.

[0059] (1)Environment intelligent inspection module: including inspection track, mobile device, temperature and humidity sensor, wind speed sensor, ammonia sensor. Temperature and humidity sensor, wind speed sensor, ammonia sensor are connected with environment and nutritional requirement dynamic decision module, temperature sensor detects the temperature of pig house, humidity sensor detects the humidity of pig house, ammonia sensor detects the ammonia concentration inside and outside the pig house.

[0060] As shown in Figure 2 , the environment intelligent inspection module is mainly composed of deployed inspection track, mobile device and inspection sensor, which is automatically started by setting time and point, the mobile device drives the temperature and humidity sensor, wind speed sensor and ammonia sensor to move on the inspection track, and real-time inspection of the specified area in the house is carried out, and the monitoring data is transmitted to the server in real time. The inspection track is set at the top of the pig house, and the inspection sensor includes temperature and humidity sensor, wind speed sensor and ammonia sensor.

[0061] (2)Intelligent management module for pig raising: The module mainly records the building information of pig house (building, floor, unit), the raising information of each unit (pig type, pig quantity), the transfer information of pig house (transfer time, transfer quantity), and the pig information (pig type, feeding coefficient, growth coefficient, stage period, etc.). It also includes recording the number of pig transfer stalls, transfer time, transfer out stall information and transfer in stall information at different growth stages.

[0062] (3)Environment and nutritional requirement dynamic decision module: mainly responsible for the integration of pig house environment parameter information, the recording and management of pig house building information and raising information, pig information, and formulating dynamic decision model according to various information, and issuing control and decision accordingly. The environment and nutritional requirement dynamic decision module corresponds to the digital platform in Figure 1 , and the environment and nutritional requirement dynamic decision module is set in the server.

[0063] The environment and nutritional requirement dynamic decision module uses the environment and nutritional requirement dynamic decision module to decide the comfortable environment parameters (optimal environment parameters) of pigs inside and outside the pig house and the daily nutritional feeding plan. The environment and nutritional requirement dynamic decision module is the core module of the present application, as shown in Figure 4 , the module mainly formulates comfortable environment health parameters and precise nutritional feeding plan according to various environment information collected by the environment parameter collection module combined with pig information (automatically obtaining pig raising days, feed-meat ratio, quantity, etc.).

[0064] The environmental and nutritional requirement dynamic decision module of the present application mainly aims to determine the daily required nutrition of pigs in different growth stages and the adapted environmental health parameters, as a decision, the actual pig house environmental parameters and pig feeding information and specific information of each unit and stall are required; as a decision, the daily required nutrition G of pigs in different types and stages and the suitable environmental health parameter values (temperature T, humidity H, ammonia concentration NH3, etc.) are determined; as a decision, the environmental health parameters are combined with the daily feeding nutrition of pigs, for example, when the body weight of pigs increases, they need lower environmental temperature.

[0065] Please see Figure 3 , the environmental and nutritional requirement dynamic decision module is

[0066]

[0067] ET 标 = T air + 0.0015(RH-50)T air -0.15(42-T air )(V 0.66 -0.2 0.66 )

[0068]

[0069] H = H 设定

[0070] NH3 = NH3 设定

[0071] In the formula, G 料 represents the daily stall decision nutrition of pigs. Here, the following parameters are used as decision variables: G 标 represents the reference feeding amount of all pigs, which can be specified according to the actual situation; K represents the feeding coefficient of pigs in different types and growth stages, as shown in Table 1. F represents the current growth stage increase coefficient of pigs, which mainly adjusts the feeding amount to prevent the feeding amount from increasing too fast due to the increase of feeding time; S represents the time length of the current growth stage of pigs that has been fed, which can be obtained by subtracting the system recorded feeding start time of the pig stage from the current time obtained by the system; S 周期 represents the feeding cycle time length of pigs in the current growth stage set by the feeding process, and N represents the total amount of pigs fed in the unit, N 栏 represents the number of stalls in the unit.

[0072] Taking the use of different growth stages of a certain pig as an example, the specific use method of the decision nutrition is introduced, and the reference feeding amount G 标1 kg / day, the growth coefficient F is 0.3, first determine the feeding coefficient of the pig stage, according to the pig stage and type can be divided into boar, mating, delivery, pre-nursery, pre-fattening. The specific corresponding relationship is shown in Table 1.

[0073] Table 1 Feeding coefficient table of different pig stages

[0074] Pig stage Boar Mating Farrowing Nursery period Fattening period Feed conversion 4 2.6 4.4 0.9 2.2

[0075] Specific example: a unit feeds 400 nursery pigs in total, with 20 stalls, and the planned feeding cycle is 90 days, so for the stalls that have been fed for 35 days, the feeder feeding amount for that day is:

[0076] G 料 = 1 kg * 0.9 * (1 + 0.3 * 35 / 90) * 400 / 20 = 20.1 kg

[0077] Decision environment health temperature parameters T, H, NH3: the goal of this model decision is the environmental suitability parameters of the type of pig for that day, the main parameters are temperature, humidity, ammonia concentration. Humidity and ammonia concentration can generally maintain comfortable temperature. For example, when the body weight of the pig changes, the demand for environmental temperature also changes. Here, the following 10 parameters are used as decision variables, ET 标 represents the effective temperature; A represents the change judgment value, for example, when the boar's body weight is generally stable, it can be represented by 0, and the nursery and fattening types are represented by 1; S represents the length of time already fed in the current stage; G 料 represents the feeding amount of the decision; N 栏 represents the total number of pigs in the stall;

[0078] ET 标 represents the effective temperature, T air represents the real-time temperature monitored by the sensor, RH represents the real-time humidity monitored by the sensor, and V represents the real-time wind speed monitored by the sensor;

[0079] L represents the average feed-meat ratio; K' represents the change coefficient. Here, taking different growth stages of a certain pig species as an example, the specific use method of the model is introduced, the K' change coefficient is 0.06, the average feed-meat ratio L is 2, and the reference environmental temperature values of different pig stages are different. The specific corresponding relationship is shown in Table 2. Among them, H represents the decision environment comfort humidity parameter, and the pig house humidity generally needs to be set within a comfortable value. NH3 represents the decision environment comfort ammonia parameter, and the pig house ammonia generally needs to be set within a comfortable value. Specific example: a unit collectively feeds 400 nursery pigs, and there are 20 stalls, and the planned feeding cycle is 90 days. The obtained temperature, humidity and wind speed are 25℃, 60% RH and 0.3 m / s respectively. Then for the unit which has been fed for 35 days, the suitable temperature value is:

[0080] ET=25+0.0015*(60-50)*25-0.15*(42-25)*(0.3 0.66 -0.2 0.66) ≈25.105

[0081] T=25.105-1*35*20.1 / 20 / 2*0.06≈24.05℃

[0082] (4) Environmental intelligent control module: the module mainly judges according to the collected environmental data and the decided environmental health control parameters, for example, when the environmental temperature is higher or lower than the decided comfortable value, the fan and the cooling or heat preservation equipment are automatically controlled to run to adjust the environmental temperature.

[0083] The environmental intelligent control module comprises an environmental controller and an environmental control device. The environmental controller is connected with the environmental and nutritional demand dynamic decision module and the environmental control device. The environmental controller is used to obtain the comfortable environment parameters of each unit and the environmental information of each unit from the environmental and nutritional demand dynamic decision module, and compare the comfortable environment parameters and the environmental information of each unit, and when the comfortable environment parameters and the environmental information are different, the operation of the environmental control device is controlled to adjust the environment of each unit. The environmental control device comprises a fan, a wet curtain and an odor control device.

[0084] (5) Intelligent feeding module: the module mainly decides the nutritional feeding plan needed today according to the real-time pig information in the system, and sends the plan to each stall feeder to realize precise feeding of pigs.

[0085] Referring to Figure 3 , the working process of the intelligent management and control system based on the pig environmental nutritional demand decision model provided by the embodiment of the application is as follows:

[0086] Step 1, according to the actual pig house field construction condition, the patrol track and various sensors are arranged, and the automatic start is realized through the set time and point, and the monitoring data is transmitted to the server in real time.

[0087] Step 2, the pig information (different stage pig transfer pen number, transfer time, transfer pen, transfer pen, etc.) and pen information (pig type, feeding quantity, building information, etc.) are input into the platform through the digital platform module.

[0088] Step 3, the growth model suitable for the pig stage is formulated according to the pig information and the pen information.

[0089] Step 4, the environment and nutrition demand dynamic decision module cooperates and links to decide the comfortable environment health parameter and the required nutrition of the day according to the environment information obtained by the environment acquisition module and the pig pen data (including pig stage, feeding coefficient, feeding cycle, feeding time, etc.).

[0090] Step 5, finally, the server starts the environment health intelligent control module and the nutrition automatic feeding module according to the decision target, realizes the intelligent control of pig nutrition and environment.

[0091] The advantages of the application in use are as follows:

[0092] 1) The system records various information, which can associate the pen information with the pig information, and can manage and query the current breeding information in the system.

[0093] 2) The system controls the operation of the equipment, which can set the threshold value of the equipment operation in the system, and can manually control or automatically control the equipment operation.

[0094] 3) The environment intelligent patrol detection obtains multi-point environment information in real time.

[0095] 4) The system can manage and view real-time environment data, realize real-time monitoring of the environment inside and outside the pig house.

[0096] 5) According to the environment and nutrition demand dynamic decision module, the system can realize the feeding nutrition decision and the pig house environment health decision linkage according to the obtained real-time environment data and various parameters and the system recorded information and various parameters, reduce the pig farm production cost, improve the pig farm capacity, realize the precise feeding, and provide a good growth and breeding environment for the pig group.

[0097] Example two

[0098] The embodiment of the present application provides an intelligent management and control method based on a pig environmental nutrition demand decision model, which can be applied to the intelligent management and control system based on the pig environmental nutrition demand decision model in the embodiment one, and comprises the following steps:

[0099] In step S1, environmental information and pig information of each unit in the pig house are collected; the pig information comprises pig type, growth stage and quantity.

[0100] The environmental information comprises temperature and humidity, wind speed and ammonia concentration. The pig information further comprises the number of transfer pens for pigs at different growth stages, the transfer time, the transfer-out pen information, the transfer-in pen information, the pig feeding quantity, the building information, the feeding coefficient, the growth coefficient and the stage period.

[0101] The environmental information collection in step S1 can be performed by the environmental intelligent inspection module in the embodiment one, and the pig information collection can be performed by the pig feeding intelligent management module in the embodiment one.

[0102] In step S2, the most suitable environmental parameters and daily nutrition feeding plan for pigs in the pig house are determined by using an environmental and nutrition demand dynamic decision module according to the environmental information and the pig information.

[0103] The environmental and nutrition demand dynamic decision module is

[0104]

[0105] ET 标 =T air +0.0015(RH-50)T air -0.15(42-T air )(V 0.66 -0.2 0.66 )

[0106]

[0107] H=H 设定

[0108] NH3=NH3 设定

[0109] In the formula, G 料 represents the daily pen decision nutrition amount of pigs, G 标 represents the reference feeding amount of all pigs, K represents the pig feeding coefficient of different types and different growth stages, F represents the growth coefficient of the current growth stage of pigs, S represents the time length of the pigs at the current growth stage that have been fed, S 周期 represents the time length of the pig feeding period at the current growth stage set by the feeding process, and N represents the total amount of pigs fed in a unit, N 栏The number of stalls of the unit is represented;

[0110] ET 标 The effective temperature is represented, T air The real-time temperature monitored by the sensor is represented, RH represents the real-time humidity monitored by the sensor, and V represents the real-time wind speed monitored by the sensor;

[0111] T represents the decision environment health temperature parameter, A represents the change judgment value, L represents the average feed-meat ratio, and K' represents the change coefficient;

[0112] H represents the decision environment health humidity parameter, H 设定 The set health humidity is represented;

[0113] NH3 represents the decision environment health ammonia concentration parameter, NH3 设定 The set health ammonia concentration is represented.

[0114] Step S2 can be executed by the environment and nutrition demand dynamic decision module of Embodiment 1.

[0115] Step S3, adjusting the environment of the corresponding unit according to the optimal environment parameter.

[0116] Step S2 can be executed by the environment intelligent control module of Embodiment 1.

[0117] Step S4, feeding the pigs in the corresponding stall according to the daily nutrition feeding plan.

[0118] Step S4 can be executed by the intelligent feeding module of Embodiment 1.

[0119] The present application can be based on the nutrition and environment linkage environment health intelligent control and precise nutrition feeding required for the growth of different pig species and different growth stages.

[0120] Each embodiment in the specification is described in a progressive manner, and each embodiment focuses on the difference from other embodiments. The same or similar parts between each embodiment can be referred to each other.

[0121] The principles and implementation modes of the present application are described by applying specific examples in this paper. The above embodiment description is only used to help understand the method and core idea of the present application; at the same time, for the general technical personnel in the art, according to the idea of the present application, the specific implementation mode and application range will be changed. In conclusion, the content of the specification should not be understood as the limitation of the present application.

Claims

1. An intelligent management and control system based on a pig environmental nutrition demand decision model, characterized in that, The application relates to a pig raising system, which comprises an environmental intelligent inspection module, a pig raising intelligent management module, an environmental and nutrition demand dynamic decision module, an environmental intelligent regulation module and an intelligent feeding module. The environmental intelligent inspection module and the pig raising intelligent management module are connected with the environmental and nutrition demand dynamic decision module; the environmental intelligent inspection module is used for collecting environmental information of different positions in different units of a pig house in real time. The pig raising intelligent management module is used for automatically recording pig information of each unit in the pig house; the pig information comprises pig types, growth stages and quantities. The environmental and nutrition demand dynamic decision module is used for cooperatively and linkingly deciding optimal environmental parameters of each unit in the pig house and a daily nutrition feeding plan of pigs according to the environmental information and the pig information. The environmental and nutrition demand dynamic decision module is connected with the environmental intelligent regulation module and the intelligent feeding module; the environmental intelligent regulation module is used for intelligently adjusting equipment operation in a corresponding unit according to the optimal environmental parameters; and the intelligent feeding module is used for feeding pigs in the corresponding unit according to the daily nutrition feeding plan. The environmental and nutrition demand dynamic decision module used for deciding the optimal environmental parameters of each unit in the pig house and the daily nutrition feeding plan of pigs is as follows: T represents a decision environmental comfort temperature parameter, A represents a change judgment value, L represents an average feed-meat ratio, and K' represents a change coefficient. ET 标 = T air + 0.0015(RH-50)T air - 0.15(42-T air )(V 0.66 - 0.2 0.66 ); H = H 设定 ; NH3 = NH3 设定 ; In the formula, G 料 represents the daily field decision nutrition amount of the live pig, G 标 represents the reference feeding amount of all live pigs, K represents the feeding coefficient of live pigs of different types and different growth stages, F represents the growth coefficient of the current growth stage of live pigs, S represents the time length of the live pig that has been fed in the current growth stage, S 周期 represents the feeding cycle time length of the live pig in the current growth stage set by the feeding process, N represents the total amount of unit feeding live pigs, N 栏 represents the number of feeding pens of the unit; ET 标 represents the effective temperature, T air represents the real-time temperature monitored by the sensor, RH represents the real-time humidity monitored by the sensor, and V represents the real-time wind speed monitored by the sensor; The environmental intelligent inspection module comprises an inspection track, a moving device, a temperature and humidity sensor, a wind speed sensor and an ammonia sensor. H represents the decision environment comfort humidity parameter, H 设定 represents the set comfort humidity; NH3 represents the decision environment comfortable ammonia concentration parameter, NH3 设定 represents the set comfortable ammonia concentration. 2.The intelligent management and control system based on pig environmental nutrition requirement decision model according to claim 1, characterized in that, The inspection track is arranged on the top of the pig house; the temperature and humidity sensor, the wind speed sensor and the ammonia sensor are all built on the inspection track through the moving device; the moving device drives the temperature and humidity sensor, the wind speed sensor and the ammonia sensor to move on the inspection track, and the prescribed area in the pig house is inspected in real time. The temperature and humidity sensor, the wind speed sensor and the ammonia sensor are all connected with the environmental and nutrition demand dynamic decision module; the environmental and nutrition demand dynamic decision module is used for receiving the temperature and humidity detected by the temperature and humidity sensor at each inspection point of the pig house, the wind speed detected by the wind speed sensor at each inspection point of the pig house and the ammonia concentration detected by the ammonia sensor at each inspection point of the pig house. The environmental intelligent regulation module comprises an environmental controller and an environmental regulation device. 3.The intelligent management and control system based on pig environmental nutrition requirement decision model according to claim 1, characterized in that, The environmental controller is connected with the environmental and nutrition demand dynamic decision module and the environmental regulation device. The environmental controller is used for acquiring the optimal environmental parameters and the environmental information from the environmental and nutrition demand dynamic decision module, formulating an environmental control scheme for adjusting the temperature and humidity, the ammonia concentration and the wind speed in the pig house according to the optimal environmental parameters and the environmental information, and controlling the operation of the environmental regulation device according to the environmental control scheme. The environmental regulation device comprises a fan, a pump, a heat preservation device, a manure cleaning device and a foul gas treatment device. 4.The intelligent management and control system based on pig environmental nutrition requirement decision model according to claim 3, characterized in that, The application further relates to a pig raising method, which comprises the following steps:

5. An intelligent management and control method based on a pig environmental nutrition demand decision model, characterized in that, collecting environmental information and pig information of each unit in a pig house; the pig information comprises pig types, growth stages and quantities; determining optimal environmental parameters of pigs in the pig house and a daily nutrition feeding plan of the pigs by using the environmental and nutrition demand dynamic decision module according to the environmental information and the pig information. ​ Adjust the environment of the corresponding unit of the pig house according to the optimal environment parameter; Feed the piglets in the corresponding unit of the pig house according to the daily nutrition feeding plan; The environment and nutrition demand dynamic decision module is: ET 标 = T air + 0.0015(RH-50)T air - 0.15(42-T air )(V 0.66 - 0.2 0.66 ); H = H 设定 ; NH3 = NH3 设定 ; In the formula, G 料 represents the daily pig house unit decision nutrition amount of the live pig, G 标 represents the reference feeding amount of all live pigs, K represents the feeding coefficient of live pigs of different types and different growth stages, F represents the growth coefficient of the current growth stage of live pigs, S represents the time length of the current growth stage of live pigs that has been fed, S 周期 represents the feeding cycle time length of the current growth stage of live pigs set by the feeding process, N represents the total amount of unit feeding live pigs, N 栏 represents the number of feeding pens of the unit; ET 标 represents the effective temperature, T air represents the real-time temperature monitored by the sensor, RH represents the real-time humidity monitored by the sensor, and V represents the real-time wind speed monitored by the sensor; T represents the decision environment comfortable temperature parameter, A represents the change judgment value, L represents the average feed-meat ratio, and K' represents the change coefficient; H represents the decision environment comfort humidity parameter, H 设定 represents the set comfort humidity; NH3 represents the decision environment comfortable ammonia concentration parameter, NH3 设定 represents the set comfortable ammonia concentration.

6. The intelligent management and control method based on the pig environmental nutrition requirement decision model according to claim 5, characterized in that, The environment information includes temperature and humidity, wind speed, and ammonia concentration. 7.The intelligent management and control method based on the pig environmental nutrition requirement decision model of claim 5, characterized in that, The piglet information further includes the number of transfer pens, the transfer time, the transfer-out pen information, the transfer-in pen information, the piglet feeding quantity, the building information, the feeding coefficient, the growth coefficient, and the stage period of the piglets at different growth stages.

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