CN108876652A - A kind of pregnant sow based on expert system finely feeds management system and feeding control method - Google Patents

A kind of pregnant sow based on expert system finely feeds management system and feeding control method Download PDF

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CN108876652A
CN108876652A CN201810686419.5A CN201810686419A CN108876652A CN 108876652 A CN108876652 A CN 108876652A CN 201810686419 A CN201810686419 A CN 201810686419A CN 108876652 A CN108876652 A CN 108876652A
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sow
information
pig house
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management system
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刘星桥
韩琳
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Jiangsu University
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Abstract

The invention discloses a kind of pregnant sows based on expert system finely to feed management system and feeding control method, including information acquisition module, expert knowledge library, inductive decision module and human-computer interaction interface.Information acquisition module realizes pig house environment information collection, sow identity information acquisition and weight information collection;Expert knowledge library stores default pig house environment information, default sow growth information etc.;The information such as kind, the parity of inductive decision module combination sow individual, by actual acquisition to environmental information, weight information and preset information carries out rule-based reasoning and adjusts the Diet amount of sow;Human-computer interaction interface be used to show acquisition information and inductive decision as a result, staff can also adjust scale of feeding by the interface in real time.The present invention is by monitoring each growth phase of different cultivars sow in real time, it is contemplated that the influence factor of various aspects adjusts the Diet of sow, more refines so that feeding, guarantees that sow is in good growth conditions.

Description

A kind of pregnant sow based on expert system finely feeds management system and feeding control Method
Technical field
The present invention relates to new digital aquaculture management system fields, monitor sow sign in real time in particular with Internet of Things And pig house environment, the control method finely fed in conjunction with Implementation of Expert System.
Background technique
The total size of Chinese pig breeding industry is chronically at world forefront, and the estimated the year two thousand twenty China live pig of the Ministry of Agriculture is delivered for sale and will reach To 7.20 hundred million, until delivering within 2025 7.41 hundred million for sale, compound speedup is about 1.62%.But at this stage pig breeding industry working condition it is poor, It is simply equipped, feed waste is serious, the sow death rate makes greatly culture efficiency lower.In recent years pig industry mode, which takes place, turns Become, the Rapid Expansion of professional raiser and Large-scale enterprises become the new feature of aquaculture industry of China.Actively advocate fining cultivation and Production efficiency can be improved using intelligent pig raising in welfare pig raising, improves sow breeding level, reduces piglet and be bred as cost.From Mechanized agriculture develops to " computer automatic controlledization " management orientation.Excellent environmental facility and management are provided for swinery, make its performance Maximum genetic potential.
Expert system is a kind of computer programming system of simulation human expert solution field question, and China is about expert The research of system also achieves many achievements.Jilin Agriculture University is excellent in reaction for diagnosis of poultry diseases, feed formula by expert system application Change and feeding goose production learn etc., expert system aquaculture application to improve agricultural products in China in international agriculture market In competitiveness tool have certain effect, be of great significance for the development of China's agricultural.But expert system is in pig at this stage In cultivation using relatively fewer, the present invention, by the research to sow expert system, can be solved effectively from the angle of profession The certainly in great shortage problem of current China's pig breeding industry base expert.The present invention combines Internet of Things with expert system, improves tradition Feedstuff feeding amount is by divided stages the problem of feeding roughly in feeding system, and the influence factor for allowing for various aspects is real-time The Diet amount for adjusting sow, more refines so that feeding, and improves culture efficiency.
Summary of the invention
It is an object of the invention to propose the pregnant sow based on expert system finely to feed management system, sow gestation Four-stage can be divided into, the scale of feeding in each stage is different, the son for directly affecting the later fertility of sow and giving birth to Pig survival rate.Real-time monitoring pig house environment and sow weight, the scale of feeding of sow, strict control are adjusted using expert system in real time Sow diet keeps pregnant sow to be in good state.Each acquisition information can be inquired in host computer simultaneously, staff is also Scale of feeding can be adjusted in human-computer interaction interface according to field conditions.
Technical solution of the present invention mainly includes:
Information acquisition module, for acquiring the environmental information of pig house, the identity information and weight information of sow;
Expert knowledge library, for storing preset pig house environment information and sow growth information;
Inductive decision module selects the growth phase of sow, kind, parity in conjunction with the sow, by actual environment parameter Match reasoning is carried out with information preset in body weight parameters and expert knowledge library;
Human-computer interaction interface, the result and final inductive decision for showing information collection are as a result, be also used in real time Modify the Diet amount of sow.
The information acquisition module realized by slave computer, the expert knowledge library, inductive decision module and human-computer interaction It is realized by host computer at interface.Between upper computer and lower computer by it is wired or wireless be connected communicated.Wherein, expert knowledge library With inductive decision module composition expert system.
The environmental information parameter of the pig house includes temperature and humidity, controls industrial integrated-type sensor using China, can be with Temperature and humidity is detected simultaneously;The identity information of sow can read the number, kind, parity of sow by ear tag reader Etc. information, pass through automatic weighing system acquire sow feed before actual weight;These data are transmitted to controller PLC200 224XP carries out processing storage, and is connected by GPRS-DTU communication module with host computer, realizes data transmission.
It is divided into sow sign in the expert knowledge library and judges factbase and feeding inference rule library, is stored with default pig house Temperature range, default pig house humidity section, the palatability for presetting sow weight, sow assortment, the parity of sow and feed Deng.
The inductive decision module carries out matching fortune to data under the control of F-rule strategy, using rule It calculates:First the farrowing sow kind of acquisition, parity information are matched in rule base 1, reasoning obtains the kind farrowing sow Theoretical pig house environment parameter and body weight parameters;Again by the actual weight before sow ideal body weight and sow feed in rule base 2 In matched, obtain the daily inleting appetite under actual weight;Finally using the daily inleting appetite as fact driving and theoretical pig house ring Border parameter, practical pig house environment parameter are matched in rule base 3, infer the preferably Diet amount of the sow.
The human-computer interaction interface uses C# language development platform, writes reality using 2012 software of Visual Studio It is existing, pregnant sow is divided into four-stage:First half period of gestation, second trimester of pregnancy sow figure management, second trimester of pregnancy mammogenesis management And third trimester of pregnancy.Scale of feeding should be reduced after the breeding in first half period of gestation stage in seven days to the greatest extent;Second trimester of pregnancy sow figure manages rank Section needs strictly to control sow figure, because will have a direct impact on intracorporal fetus;Second trimester of pregnancy mammogenesis manages rank Section needs that mammogenesis is made to maximize, and lays the foundation for postpartum milk secretion power;Stage third trimester of pregnancy, which carries out increment feeding to sow, to be made Fetus maximization.
The slave computer further includes executing equipment;The execution equipment includes that automatic blanking device and pig house environment are adjusted automatically Regulating device;
The automatic blanking device is realized that the stepper motor is being controlled by stepper motor, feeder and weighing sensor The feed of feeder is accurately put into hopper under the control of device processed, feed in the weighing sensor real-time monitoring hopper Weight simultaneously feeds back to controller, and controller makes real-time adjustment according to feed relative information;
The pig house environment self-checking device includes wet curtain and blower, the letter that controller is acquired according to Temperature Humidity Sensor Breath, controls wet curtain and blower carries out corresponding actions to adjust pig house environment parameter.
Pregnant sow based on above-mentioned expert system finely feeds management system, the invention proposes feeding control method, Include the following steps:
Step 1, temperature-humidity sensor is installed in pig farm appropriate location, is set as being sent every 10 minutes by slave computer Data save in the database to host computer, these data, are supplied to expert system;
Step 2, sow enters feeding equipment, into the reading range of ear tag reader, knowledge that reader can be contactless Sequence number in other electron ear tage, then host computer is sent to by GPRS-DTU via controller PLC, the sow can be obtained Individual information;
Step 3, sow enters feeding equipment, the short stay in automatic weighing device, the reality before obtaining sow feed Weight information is sent to host computer and saves in the database;
Step 4, by the sow individual information received, practical pig house environment information and sow actual weight parameter and expert Preset information is matched in knowledge base, and decision-making module reasoning obtains the Diet amount of the sow by inference;
Step 5, final result is saved and is shown on human-computer interaction interface, then slave computer is sent to by wireless transmission Equipment completion blanking is executed to control;
Wherein, step 4 specifically includes:
Step 4.1, the farrowing sow kind of acquisition, parity information are matched in rule base 1, reasoning obtains the product The theoretical environmental parameter and body weight parameters of kind farrowing sow;
Step 4.2, sow ideal body weight is matched in rule base 2 with sow actual weight, obtains actual weight Under daily inleting appetite;
Step 4.3, using the sow daily inleting appetite under actual weight as fact driving and ideal pig house environment parameter, reality Pig house environment parameter is matched in rule base 3, infers the preferably Diet amount of the sow.
Technical effect of the invention is as follows:
1) pregnant sow finely feeds system, fining feeding is carried out to pregnant sow using expert system, so that sow Feeding management is more intelligent, reduces cost of labor.
2) system adjusts the Diet amount of pregnant sow according to rule-based reasoning in real time, and staff can also be by man-machine Interactive interface adjusts scale of feeding.
3) expertise lab setting knowledge obtaining mechanism, expert can directly improve knowledge base by this interface.So that specially Family's system module is more and more perfect, preferably instructs the feeding of pregnant sow.
Detailed description of the invention
Fig. 1 is present system overall structure figure.
Fig. 2 is present system control principle drawing.
Fig. 3 is information acquisition module structural schematic diagram.
Fig. 4 is expert knowledge library part of the present invention rule schema.
Fig. 5 is inductive decision schematic diagram of the present invention.
Fig. 6 is that pregnant sow of the present invention finely feeds management system login interface.
Fig. 7 is that pregnant sow of the present invention finely feeds management system surface chart.
Specific embodiment
The present invention will be further explained below with reference to the attached drawings.
Below in conjunction with attached drawing of the invention, the technical scheme in the embodiment of the invention is clearly and completely described.
The present invention is that the pregnant sow based on expert system finely feeds management system, whole system structure chart such as Fig. 1 institute Show, mainly includes four modules:Information acquisition module, expert knowledge library, inductive decision module and human-computer interaction module.Fig. 2 is Whole system is divided into the information collection and feeding system, the management system of host computer two of slave computer by system control principle drawing Part, information collection and feeding system mainly include pig identification, environment information acquisition, the information collection of pig weight and Automatic blanking and pig house environment automatic adjustment.Management system includes human-computer interaction interface and expert system module, and wherein expert is System module is made of expert knowledge library and inductive decision module.As shown in figure 3, information collection and feeding system pass through electronic ear Collected information is transferred to PLC200 224XP to carry out processing storage by mark, integrated sensor and electronic loadometer, then by GPRS- DTU communication module is sent to host computer, makes inferences decision in conjunction with expert knowledge library and obtains the Diet amount of sow, on the one hand User is showed by human-computer interaction interface, on the other hand module GPRS passes data to slave computer by wireless communication (PLC200 224XP) controls the discharge quantity of automatic blanking device, while automatically adjusting pig house environment parameter.
Human-computer interaction interface is logical by host computer and slave computer using the Socket Windows Sockets for supporting ICP/IP protocol Letter is used for real-time display collection result and the reasoning results.Expert knowledge library is divided into sow sign and judges factbase and feeding reasoning Rule base, Fig. 4 are the rule list for feeding inference rule library, and rule list uses the production rule representation method of if A then B, Such as when the kind of sow is Duroc, pig house temperature is normal temperature, humidity is less than standard humidity, parity is primiparity, feed Palatability is agreeable to the taste, it is concluded that the scale of feeding of every 100kg weight is 1.1, feed adds the amount of feeding to be 0.4, the confidence level of the rule It is 0.84.Under the control of forward reasoning strategy, collected data match with rule list to finally obtain conclusion.
It is proposed by the present invention feeding control method specific embodiment be:
Step 1, temperature-humidity sensor is installed in pig farm appropriate location, is set as being sent every 10 minutes by PLC primary Data save in the database to host computer, these data, are supplied to expert system;
Step 2, sow enters feeding equipment, into the reading range of ear tag reader, knowledge that reader can be contactless Sequence number in other electron ear tage, then via PLC, host computer is sent to by GPRS-DTU, the individual of the sow can be obtained Information;
Step 3, sow enters feeding equipment, the short stay in automatic weighing device, the reality before obtaining sow feed Weight information is sent to host computer and saves in the database;
Step 4, host computer is by the sow individual information received, practical pig house environment information and sow actual weight parameter It is matched with information preset in expert knowledge library, decision-making module reasoning obtains the Diet amount of the sow by inference;
Step 5, final result is saved and is shown on human-computer interaction interface, then slave computer is sent to by wireless transmission Controlling execution equipment, completing blanking and adjusting pig house environment parameter;
The forward reasoning strategic processes of above-mentioned steps 4 utilizes this as shown in figure 5, Fig. 5 is inductive decision schematic diagram of the present invention Invention inductive decision module obtains the more excellent Diet amount of farrowing sow:
Step 4.1, the farrowing sow kind of acquisition, parity information are matched in rule base 1, reasoning obtains the product The theoretical environmental parameter and body weight parameters of kind farrowing sow;
Step 4.2, sow ideal body weight is matched in rule base 2 with sow actual weight, obtains actual weight Under daily inleting appetite;
Step 4.3, using the sow daily inleting appetite under actual weight as fact driving and ideal pig house environment parameter, reality Border pig house environment parameter is matched in rule base 3, infers the preferably Diet amount of the sow.
Fig. 6 is that pregnant sow finely feeds management system login interface, using the form of user name encryption to system administration Permission distinguishes, and different permissions can check the corresponding information of modification.
Fig. 7 is that the pregnant sow after logging in finely feeds the surface chart of management system, passes through the essential information of input sow The Diet amount of the sow can be inquired, staff can also change the scale of feeding of setting in real time according to field condition.
Those of ordinary skills in the art should understand that:The foregoing is merely the preferable specific embodiment of the present invention, Equivalent substitution or change is subject to the technical program and its inventive concept without departing from the principle and spirit of the present invention, It should all be included in the protection scope of the present invention.

Claims (10)

1. a kind of pregnant sow based on expert system finely feeds management system, which is characterized in that including information acquisition module, Expert knowledge library, inductive decision module;The information acquisition module is connected with the inductive decision module, the inductive decision mould Block is connected with the expert knowledge library;Wherein expert knowledge library and inductive decision module composition expert system;
The information acquisition module:Acquire the environmental information of pig house, the identity information and weight information of sow;
The expert knowledge library:Store preset pig house environment information and sow growth information;
The inductive decision module:Select the growth phase of sow, kind, parity in conjunction with the sow, by the pig of actual acquisition It gives up preset information in environmental parameter and sow body weight parameters and expert knowledge library and carries out match reasoning, obtain sow preferably day Grain scale of feeding.
2. a kind of pregnant sow based on expert system according to claim 1 finely feeds management system, feature exists In, further include human-computer interaction interface, the human-computer interaction interface show information collection result and final inductive decision as a result, It can also be used to the Diet amount of real time modifying sow.
3. a kind of pregnant sow based on expert system according to claim 1 finely feeds management system, feature exists In the information of the information acquisition module acquisition includes pig house environment temperature and humidity information, sow number, kind and parity Information, the actual weight information before sow feed.
4. a kind of pregnant sow based on expert system according to claim 1 finely feeds management system, feature exists In, in the expert knowledge library include sow sign judge factbase and feed inference rule library, be stored with default pig house temperature Section, default pig house humidity section, the palatability for presetting sow weight, sow assortment, the parity of sow and feed.
5. a kind of pregnant sow based on expert system according to claim 1 finely feeds management system, feature exists In the inductive decision module carries out matching operation to data under the control of F-rule strategy, using rule:First will Farrowing sow kind, the parity information of acquisition are matched in rule base 1, and reasoning obtains the theoretical pig of the kind farrowing sow Give up environmental parameter and body weight parameters;Sow ideal body weight is matched in rule base 2 with sow actual weight again, obtains reality Daily inleting appetite under the weight of border;Finally using the daily inleting appetite as fact driving and theoretical pig house environment parameter, practical pig house ring Border parameter is matched in rule base 3, infers the preferably Diet amount of the sow.
6. a kind of pregnant sow based on expert system according to claim 2 finely feeds management system, feature exists In the information acquisition module is realized by slave computer;The expert knowledge library, the inductive decision module and the man-machine friendship It is realized by host computer at mutual interface;Pass through wired or wireless connection between the host computer and the slave computer.
7. a kind of pregnant sow based on expert system according to claim 6 finely feeds management system, feature exists In the information acquisition module includes Temperature Humidity Sensor, ear tag reader, automatic weighing system and controller;The temperature Humidity sensor acquires the temperature and humidity of pig house environment, and the ear tag reader reads the ear tag of sow wearing to obtain sow Number, kind, parity information;Weight before the automatic weighing system acquisition sow feed;The Temperature Humidity Sensor, ear Mark reader, automatic weighing system are connected with the controller, by the data transmission respectively acquired to controller, by controller Host computer is sent to after storage processing.
8. a kind of pregnant sow based on expert system according to claim 6 finely feeds management system, feature exists In the slave computer further includes executing equipment;The execution equipment includes automatic blanking device and pig house environment automatic adjustment dress It sets;
The automatic blanking device realizes that the stepper motor is in controller by stepper motor, feeder and weighing sensor Control under the feed of feeder is accurately put into hopper, the weight of feed in the weighing sensor real-time monitoring hopper And controller is fed back to, controller makes real-time adjustment according to feed relative information;
The pig house environment self-checking device includes wet curtain and blower, the information that controller is acquired according to Temperature Humidity Sensor, It controls wet curtain and blower carries out corresponding actions to adjust pig house environment parameter.
9. the feeding control method that the pregnant sow based on expert system finely feeds management system, which is characterized in that including such as Lower step:
Step 1, temperature-humidity sensor is installed in pig farm appropriate location, is set as being sent every 10 minutes by slave computer primary Data save in the database to host computer, data, are supplied to expert system;
Step 2, sow enters feeding equipment, into ear tag reader reading range when, identification that reader can be contactless electricity Sequence number in sub- ear tag, then host computer is sent to by GPRS-DTU via controller PLC, to obtain the individual letter of the sow Breath;
Step 3, sow enters feeding equipment, the short stay in automatic weighing device, the actual weight before obtaining sow feed Information is sent to host computer and saves in the database;
Step 4, host computer by the sow individual information received, practical pig house environment information and sow actual weight parameter and specially Family's preset information of knowledge base kind is matched, and decision-making module reasoning obtains the Diet amount of the sow by inference;
Step 5, final result is saved and is shown on human-computer interaction interface, then slave computer is sent to control by wireless transmission Blanking processed.
10. the feeding controlling party that the pregnant sow according to claim 9 based on expert system finely feeds management system Method, which is characterized in that the detailed process of the step 4 includes:
Step 4.1, the farrowing sow kind of acquisition, parity information are matched in rule base 1, reasoning obtains kind bosom The theoretical environmental parameter and body weight parameters of pregnant sow;
Step 4.2, sow ideal body weight is matched in rule base 2 with sow actual weight, is obtained under actual weight Daily inleting appetite;
Step 4.3, using the sow daily inleting appetite under actual weight as fact driving and ideal pig house environment parameter, practical pig house Environmental parameter is matched in rule base 3, infers the preferably Diet amount of the sow.
CN201810686419.5A 2018-06-28 2018-06-28 A kind of pregnant sow based on expert system finely feeds management system and feeding control method Pending CN108876652A (en)

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Cited By (9)

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CN109634098A (en) * 2018-12-25 2019-04-16 江苏大学 A kind of fattening house environment conditioning system and method
CN109658072A (en) * 2019-01-31 2019-04-19 广州影子科技有限公司 Management method, managing device and the management system of sow production task
CN110972994A (en) * 2019-11-28 2020-04-10 秒针信息技术有限公司 Method and device for identifying pregnancy of sow
CN111242797A (en) * 2020-02-28 2020-06-05 江苏大学 Prediction system and method for pigsty environment suitability
CN112379645A (en) * 2020-10-23 2021-02-19 江苏大学 Drools rule engine-based internet-of-things management and control system and method for group-fed sow feeding station
CN113080095A (en) * 2021-04-02 2021-07-09 重庆市畜牧技术推广总站 Sow post-pregnancy intelligent monitoring and nursing system
CN114128669A (en) * 2021-11-25 2022-03-04 广州朗国电子科技股份有限公司 RFID technology-based method, equipment, medium and product for accurately feeding large-column-shaped columns of farms
CN114158490A (en) * 2021-12-01 2022-03-11 重庆市畜牧技术推广总站 Method for improving pig farm psy
CN116894511A (en) * 2023-07-06 2023-10-17 厦门农芯数字科技有限公司 Method and system for evaluating influence of personnel behaviors on sow farrowing

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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109634098A (en) * 2018-12-25 2019-04-16 江苏大学 A kind of fattening house environment conditioning system and method
CN109658072A (en) * 2019-01-31 2019-04-19 广州影子科技有限公司 Management method, managing device and the management system of sow production task
CN110972994A (en) * 2019-11-28 2020-04-10 秒针信息技术有限公司 Method and device for identifying pregnancy of sow
CN111242797A (en) * 2020-02-28 2020-06-05 江苏大学 Prediction system and method for pigsty environment suitability
CN112379645A (en) * 2020-10-23 2021-02-19 江苏大学 Drools rule engine-based internet-of-things management and control system and method for group-fed sow feeding station
CN113080095A (en) * 2021-04-02 2021-07-09 重庆市畜牧技术推广总站 Sow post-pregnancy intelligent monitoring and nursing system
CN114128669A (en) * 2021-11-25 2022-03-04 广州朗国电子科技股份有限公司 RFID technology-based method, equipment, medium and product for accurately feeding large-column-shaped columns of farms
CN114158490A (en) * 2021-12-01 2022-03-11 重庆市畜牧技术推广总站 Method for improving pig farm psy
CN116894511A (en) * 2023-07-06 2023-10-17 厦门农芯数字科技有限公司 Method and system for evaluating influence of personnel behaviors on sow farrowing

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