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 PDFInfo
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- 230000001939 inductive effect Effects 0.000 claims abstract description 21
- 230000037213 diet Effects 0.000 claims abstract description 18
- 235000005911 diet Nutrition 0.000 claims abstract description 18
- 230000003993 interaction Effects 0.000 claims abstract description 15
- 230000007613 environmental effect Effects 0.000 claims abstract description 11
- 230000012010 growth Effects 0.000 claims abstract description 4
- 238000012544 monitoring process Methods 0.000 claims abstract description 4
- 230000003698 anagen phase Effects 0.000 claims abstract description 3
- 230000037396 body weight Effects 0.000 claims description 12
- 238000005303 weighing Methods 0.000 claims description 11
- 230000036528 appetite Effects 0.000 claims description 10
- 235000019789 appetite Nutrition 0.000 claims description 10
- 230000005540 biological transmission Effects 0.000 claims description 5
- 230000000875 corresponding effect Effects 0.000 claims description 3
- 235000019629 palatability Nutrition 0.000 claims description 3
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- 210000000481 breast Anatomy 0.000 claims 1
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- 230000035935 pregnancy Effects 0.000 description 9
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- 244000144974 aquaculture Species 0.000 description 3
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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
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.
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CN111242797A (en) * | 2020-02-28 | 2020-06-05 | 江苏大学 | Prediction system and method for pigsty environment suitability |
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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 |
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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 |
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