CN108445747A - A kind of livestock and poultry cultivation environmental parameter Fuzzy Optimal Control method - Google Patents

A kind of livestock and poultry cultivation environmental parameter Fuzzy Optimal Control method Download PDF

Info

Publication number
CN108445747A
CN108445747A CN201810089342.3A CN201810089342A CN108445747A CN 108445747 A CN108445747 A CN 108445747A CN 201810089342 A CN201810089342 A CN 201810089342A CN 108445747 A CN108445747 A CN 108445747A
Authority
CN
China
Prior art keywords
environmental parameter
adjusted
adjustment module
concentration
adjusted based
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810089342.3A
Other languages
Chinese (zh)
Inventor
孙龙清
李亿杨
罗冰
刘岩
李玥
邹远炳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Agricultural University
Original Assignee
China Agricultural University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Agricultural University filed Critical China Agricultural University
Priority to CN201810089342.3A priority Critical patent/CN108445747A/en
Publication of CN108445747A publication Critical patent/CN108445747A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Feedback Control In General (AREA)

Abstract

The present invention provides a kind of livestock and poultry cultivation regional environment parameter control method, and the present invention carries out the monitoring of environmental parameter, differentiated underproof environmental parameter feeding fuzzy controller according to monitoring result by acquiring environmental parameter in livestock and poultry cultivation environmental area;Environmental parameter optimization is finally carried out according to the output quantity of fuzzy controller.Achieve the purpose that fast and accurately to automatically control environment, provides scientific management methods for livestock and poultry cultivation, save time and human and material resources.

Description

A kind of livestock and poultry cultivation environmental parameter Fuzzy Optimal Control method
Technical field
The present invention relates to agricultural automation technical fields, more particularly, to a kind of livestock and poultry cultivation environment parameter control side Method.
Background technology
In recent years, with the development of animal husbandry, aquaculture industry development speed is constantly accelerated, and to scale, modernization Direction promotes, the increasingly increase of especially big group, high-density rearing livestock and poultry, and the environmental quality in farm has risen to shadow Ring the matter of utmost importance of livestock birds health state and production performance.The continuous outburst and propagation of all kinds of epidemic diseases, it will give livestock and poultry Cultivation brings huge loss, in order to effectively prevent the generation and propagation of epidemic disease, while constantly reinforcing control and prevention of disease system, Domestic and international enterprise and the attention of scholar are gradually obtained to the monitoring of farm's environment.
Automatically control livestock and poultry cultivation regional environment parameter, scientific system management manages breeding environment, accomplish it is accurate, real-time, Easily monitoring livestock and poultry dynamic, control live pig disease harm, ensures that the quality of pork is necessary safely.
In conclusion urgently providing a kind of livestock and poultry cultivation environmental parameter optimization control scheme in the prior art.
Invention content
To solve the above-mentioned problems, the embodiment of the present invention provides one kind and overcoming the above problem or solve at least partly State the livestock and poultry cultivation environmental parameter optimal control method of problem.
According to a first aspect of the embodiments of the present invention, a kind of livestock and poultry cultivation regional environment parameter control method is provided, is wrapped It includes:
Obtain the environmental parameter that sensor transmission is respectively adopted in target culturing area;
Obtain environmental parameter and the storage that default value range is unsatisfactory in environmental parameter;Based on being unsatisfactory for default value model The corresponding standard value of environmental parameter and environmental parameter enclosed, obtain be unsatisfactory for default value range environmental parameter deviation and partially Rate;
Deviation and deviation ratio are subjected to fuzzy reasoning and decision as Indistinct Input amount, obtain fuzzy control output quantity;It is right Fuzzy control output quantity is refined to obtain the precise volume of controlled process;
Environmental parameter is adjusted in precise volume based on controlled process.
Further, environmental parameter is adjusted based on control strategy, further includes later, repeat above steps, Until environmental parameter meets default value range.
Further, described obtain respectively adopts the environmental parameter that sensor is sent in target culturing area, including:
Based on several wireless acquisition nodes being set in target culturing area, the environment ginseng in target culturing area is acquired Number;Based on the wireless aggregation node with the wireless communication connection of each wireless acquisition node, environmental parameter is summarized.
Further, the environmental parameter that default value range is unsatisfactory in environmental parameter is obtained, including:
Judge whether environmental parameter meets default value range based on block chain technology, acquisition is wherein unsatisfactory for default value The environmental parameter of range;
Based on the environmental parameter for being unsatisfactory for default value range described in the storage of block chain technology.
Further, the environmental parameter for being unsatisfactory for default value range in environmental parameter is obtained, further includes before:
Confirm that environmental parameter is the environmental parameter of ancestor node transmission, and environmental parameter is not changed in transmission process.
Further, deviation and deviation ratio are subjected to fuzzy reasoning and decision as Indistinct Input amount, it is defeated obtains fuzzy control Output, including:
Deviation and deviation ratio are blurred;
Deviation and deviation ratio based on fuzzy control list and blurring previously according to rule creation carry out fuzzy reasoning, Obtain fuzzy output amount.
Further, the environmental parameter includes following at least one:Temperature, humidity, gas concentration lwevel, dust concentration, Air flow rate, ammonia concentration and concentration of hydrogen sulfide.
Further, environmental parameter is adjusted based on control strategy, including following at least one:
Temperature is adjusted based on temperature adjustment module;
Humidity is adjusted based on moisture adjustment module;
Gas concentration lwevel is adjusted based on carbon dioxide adjustment module;
Dust concentration is adjusted based on dust concentration adjustment module;
Air flow rate is adjusted based on air flow rate adjustment module;
Ammonia concentration is adjusted based on ammonia concentration adjustment module;
Concentration of hydrogen sulfide is adjusted based on concentration of hydrogen sulfide adjustment module.
Further,
Temperature is adjusted based on temperature adjustment module, including:Based on pre-set cycle cascade and heating device Temperature is adjusted;
Humidity is adjusted based on moisture adjustment module, including:Based on pre-set cycle cascade and wind speed, wind direction Humidity is adjusted in control;
Gas concentration lwevel is adjusted based on carbon dioxide adjustment module, including:Based on pre-setting aerator pair Gas concentration lwevel is adjusted;
Dust concentration is adjusted based on dust concentration adjustment module, including:Based on pre-set cycle cascade and Humidity is adjusted in wind speed, wind direction control;
Air flow rate is adjusted based on air flow rate adjustment module:Based on pre-set cycle cascade Humidity is adjusted with wind speed, wind direction control;
Ammonia concentration is adjusted based on ammonia concentration adjustment module:Based on pre-set cycle cascade and wind speed, Humidity is adjusted in wind direction control;
Concentration of hydrogen sulfide is adjusted based on concentration of hydrogen sulfide adjustment module:Based on pre-set cycle cascade and wind Humidity is adjusted in speed, wind direction control.
The above embodiment of the present invention provides a kind of livestock and poultry cultivation regional environment parameter control method, and the present invention is raiseeed by acquiring Environmental parameter in poultry raising environment region carries out the monitoring of environmental parameter, is sent underproof environmental parameter according to monitoring result Enter fuzzy controller to be differentiated;Environmental parameter optimization is finally carried out according to the output quantity of fuzzy controller.Reached quickly and The accurate purpose for automatically controlling environment, provides scientific management methods for livestock and poultry cultivation, saves time and human and material resources.
Description of the drawings
Fig. 1 is a kind of flow diagram of livestock and poultry cultivation regional environment parameter control method of the embodiment of the present invention;
Fig. 2 is corresponding with utility function in a kind of livestock and poultry cultivation regional environment parameter control method of the embodiment of the present invention Utility Indifference curve schematic diagram;
Fig. 3 is the block diagram of a kind of electronic equipment of the embodiment of the present invention.
Specific implementation mode
With reference to the accompanying drawings and examples, the specific implementation mode of the present invention is described in further detail.Implement below Example is not limited to the scope of the present invention for illustrating the present invention.
The present invention provides a kind of livestock and poultry cultivation environmental parameter Fuzzy Optimal Control method, and this method is controlled based on fuzzy device Environmental parameter adjust optimization method.
Such as Fig. 1, a kind of livestock and poultry cultivation environmental parameter Fuzzy Optimal Control method overall flow figure of the embodiment of the present invention is shown. Generally, include the following steps.
S1 obtains the environmental parameter that sensor transmission is respectively adopted in target culturing area;
S2 obtains environmental parameter and the storage that default value range is unsatisfactory in environmental parameter;Based on being unsatisfactory for present count It is worth the environmental parameter and the corresponding standard value of environmental parameter of range, obtains the deviation for the environmental parameter for being unsatisfactory for default value range And deviation ratio;
Specifically, the environmental parameter for default value range being unsatisfactory in acquisition environmental parameter can be by set environment parameter Optimality criterion value be StL, sensor sends the actual value Re of environmental parameterL, ReLAnd StLBetween difference be environmental parameter it is inclined Difference judges environmental parameter qualification when environmental parametric deviation value belongs to threshold interval [- TH, the TH] of setting;Work as environmental parameter When error amount is not in threshold range, i.e. ERW!~[- TH, TH] judges that the environmental parameter is unqualified;Underproof environment is joined Number is stored.
It is illustrated with " temperature " environmental parameter citing in livestock and poultry cultivation region.Under normal circumstances, livestock and poultry cultivation region Best preference temperature be 15~23 DEG C, 15 DEG C are hereinafter referred to as " cold ", 23 DEG C referred above to " heat ", according to the logic 14.9 DEG C It can belong to cold, 15.1 DEG C but belong to comfortable, it is clear that this is inconsistent with truly feels, it is therefore desirable to another expression side Formula --- a certain fuzzy quantity (such as herein cold, comfortable, hot) is described with the membership function changed between 0~1;Its In, membership function refers to:If to the either element x in domain (range of research) U, all there are one number A (x) ∈ [0,1] therewith Corresponding, then A is referred to as the fuzzy set on U, and A (x) is known as degrees of membership of the x to A.When x changes in U, A (x) is exactly a function, The referred to as membership function of A.For degree of membership A (x) closer to 1, the degree that expression x belongs to A is higher, and A (x) indicates that x belongs to closer to 0 It is lower in the degree of A.Membership function A (x) characterizations x with value in section (0,1) belongs to the degree height of A.Degree of membership belongs to Concept in fuzzy evaluation functions:Fuzzy overall evaluation is one kind ten that thoroughly evaluating is made to things affected by many factors Point effective multifactor decision making method, its main feature is that evaluation result not instead of not utterly positive or negative, with a fuzzy set It closes to indicate.The membership function curve of each fuzzy quantity is triangle, the word set of temperature variable deviation be supercooling, it is cold, comfortably, Zero, heat, overheat }.
If the basic domain of certain environmental parametric deviation is [- X, X], in be precise volume, the quantization domain of deviation be X=- N ,-n+1 ..., 0 ..., n-1, n }, positive integer n is the series being divided into after the deviation quantization of consecutive variations within the scope of 0~X.By In usual X!The quantizing factor of=n, deviation are defined as the ratio i.e. deviation ratio of the environmental parameter of n and X.
Deviation and deviation ratio are carried out fuzzy reasoning and decision as Indistinct Input amount, obtain fuzzy control output quantity by S3; Fuzzy control output quantity is refined to obtain the precise volume of controlled process.
Specifically, selection of the embodiment of the present invention is obtained in the quantization to fuzzy domain of temperature deviation, deviation ratio and output quantity The quantizing factor of the value of fuzzy quantity, wherein deviation ratio is set as λ, and the quantizing factor of output quantity is set as λ '.It later can be according to priori Knowledge writes out certain control statement, establishes fuzzy control rule table, carries out fuzzy reasoning according to fuzzy control table, is obscured Output quantity.Fuzzy output amount, which is refined and (uses maximum membership degree method in the embodiment of the present invention), obtains the essence of controlled process Really amount.
Wherein, according to flow shown in Fig. 2, a. is blurred b. inference mechanisms c. and refines three steps for the setting of fuzzy controller It is rapid the most key.It is related to two concepts of membership function and fuzzy control simultaneously.Fuzzy controller is the single output of two inputs, is obscured The actual change range for outputting and inputting variable of controller is known as the basic domain of these variables.
Environmental parameter is adjusted in S4, the precise volume based on controlled process.
On the basis of above-mentioned specific embodiment of the invention, a kind of livestock and poultry cultivation regional environment parameter control method is provided, Environmental parameter is adjusted based on control strategy, further includes repeating above steps later, until environmental parameter meets Default value range.
Specifically, after having executed S1 to S4, environmental parameter is reacquired, environmental parameter is sent to step S2 and is monitored It is whether qualified, if the unqualified S3 that continues to execute is to S4.
On the basis of above-mentioned specific embodiment of the invention, a kind of livestock and poultry cultivation regional environment parameter control method is provided, Described obtain respectively adopts the environmental parameter that sensor is sent in target culturing area, including:
Based on several wireless acquisition nodes being set in target culturing area, the environment ginseng in target culturing area is acquired Number;Based on the wireless aggregation node with the wireless communication connection of each wireless acquisition node, environmental parameter is summarized.
Specifically, by being pre-set at the wireless acquisition node of several acquisition environmental parameters in target culturing area, The wireless aggregation node that environmental parameter is carried out summarizing transmission.The environment sensing probe border perception of wireless acquisition node, which is popped one's head in, includes One sensor group, sensor group include Temperature Humidity Sensor, carbon dioxide sensor, intensity of illumination sensor, dust concentration Sensor, wind speed intensity and wind direction control, ammonia gas sensor, hydrogen sulfide sensor.
On the basis of above-mentioned specific embodiment of the invention, a kind of livestock and poultry cultivation regional environment parameter control method is provided, The environmental parameter that default value range is unsatisfactory in environmental parameter is obtained, including:
Judge whether environmental parameter meets default value range based on block chain technology, acquisition is wherein unsatisfactory for default value The environmental parameter of range;
Based on the environmental parameter for being unsatisfactory for default value range described in the storage of block chain technology.
Specifically, block chain is a kind of distributed data base, " distribution " is presented as the distributed storage of data herein, It is presented as the distributed recording (being safeguarded come collective by system participant) of data.Briefly, block chain can realize global number It is believed that breath distributed recording (can record by system participant collective, rather than by the mechanism centralized recording of a centralization) and Distributed storage (can be stored in all nodes for participating in record data, rather than be centrally stored in the agency node of centralization In).Block chain can generate a set of record time order and function, can not distort, database trusty, this sets of data library is What centralization storage and data safety can be effectively ensured.
The present embodiment is passed collected environmental parameter using parametric reliability evaluation and storage based on block chain technology It is defeated by monitoring modular, and acquisition parameter is transmitted, record, store and is presented, judges whether current environment parameter is qualified.
Wherein, block chain technology is advantageous in that under the distributed p 2 p of not central control point, uses distribution The method of formula collective running, constructs the self-organizing network of a P2P.Pass through complicated verification scheme, block chain database energy Integrality, continuity and consistency are enough kept, the integrality of block chain can not be changed subparticipation people plays tricks, it is even more impossible to Distort the data in block chain.May determine that in this way transmission parameter whether be original point transmission parameter, parameter value whether by Change ensures the safety in parameter source;Judge whether the parameter that transmission receives is qualified, i.e., parameter value is in transmission process simultaneously In whether be modified.
On the basis of above-mentioned specific embodiment of the invention, a kind of livestock and poultry cultivation regional environment parameter control method is provided, The environmental parameter for being unsatisfactory for default value range in environmental parameter is obtained, further includes before:
Confirm that environmental parameter is the environmental parameter of ancestor node transmission, and environmental parameter is not changed in transmission process.
On the basis of above-mentioned specific embodiment of the invention, a kind of livestock and poultry cultivation regional environment parameter control method is provided, Deviation and deviation ratio are subjected to fuzzy reasoning and decision as Indistinct Input amount, obtain fuzzy control output quantity, including:
Deviation and deviation ratio are blurred;
Deviation and deviation ratio based on fuzzy control list and blurring previously according to rule creation carry out fuzzy reasoning, Obtain fuzzy output amount.
On the basis of above-mentioned specific embodiment of the invention, a kind of livestock and poultry cultivation regional environment parameter control method is provided, The environmental parameter includes following at least one:Temperature, humidity, gas concentration lwevel, dust concentration, air flow rate, ammonia Gas concentration and concentration of hydrogen sulfide.
On the basis of above-mentioned specific embodiment of the invention, a kind of livestock and poultry cultivation regional environment parameter control method is provided, Environmental parameter is adjusted based on control strategy, including following at least one:
Temperature is adjusted based on temperature adjustment module;
Humidity is adjusted based on moisture adjustment module;
Gas concentration lwevel is adjusted based on carbon dioxide adjustment module;
Dust concentration is adjusted based on dust concentration adjustment module;
Air flow rate is adjusted based on air flow rate adjustment module;
Ammonia concentration is adjusted based on ammonia concentration adjustment module;
Concentration of hydrogen sulfide is adjusted based on concentration of hydrogen sulfide adjustment module.
On the basis of above-mentioned specific embodiment of the invention, a kind of livestock and poultry cultivation regional environment parameter control method is provided, Temperature is adjusted based on temperature adjustment module, including:Based on pre-set cycle cascade and heating device to temperature into Row is adjusted;
Humidity is adjusted based on moisture adjustment module, including:Based on pre-set cycle cascade and wind speed, wind direction Humidity is adjusted in control;
Gas concentration lwevel is adjusted based on carbon dioxide adjustment module, including:Based on pre-setting aerator pair Gas concentration lwevel is adjusted;
Dust concentration is adjusted based on dust concentration adjustment module, including:Based on pre-set cycle cascade and Humidity is adjusted in wind speed, wind direction control;
Air flow rate is adjusted based on air flow rate adjustment module:Based on pre-set cycle cascade Humidity is adjusted with wind speed, wind direction control;
Ammonia concentration is adjusted based on ammonia concentration adjustment module:Based on pre-set cycle cascade and wind speed, Humidity is adjusted in wind direction control;
Concentration of hydrogen sulfide is adjusted based on concentration of hydrogen sulfide adjustment module:Based on pre-set cycle cascade and wind Humidity is adjusted in speed, wind direction control.
Based on above-mentioned specific embodiment, a kind of electronic equipment is provided.Referring to Fig. 3, which includes:Processor (processor) 301, memory (memory) 302 and bus 303;
Wherein, processor 301 and memory 302 complete mutual communication by bus 303 respectively;
Processor 301 is used to call program instruction in memory 302, with execute above-described embodiment provided it is a few days ago low Carbon scheduling decision method, such as including:Obtain the environmental parameter that sensor transmission is respectively adopted in target culturing area;Obtain environment ginseng The environmental parameter of default value range and storage are unsatisfactory in number;Based on the environmental parameter and environment for being unsatisfactory for default value range The corresponding standard value of parameter obtains the deviation and deviation ratio of the environmental parameter for being unsatisfactory for default value range;By deviation and deviation Rate carries out fuzzy reasoning and decision as Indistinct Input amount, obtains fuzzy control output quantity;Essence is carried out to fuzzy control output quantity Trueization obtains the precise volume of controlled process;Environmental parameter is adjusted in precise volume based on controlled process.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage medium Matter stores computer instruction, which makes computer execute the low-carbon scheduling decision side a few days ago that above-described embodiment is provided Method, such as including:Obtain the environmental parameter that sensor transmission is respectively adopted in target culturing area;It is unsatisfactory in acquisition environmental parameter pre- If environmental parameter and the storage of numberical range;It is marked accordingly based on the environmental parameter and environmental parameter for being unsatisfactory for default value range Quasi- value, obtains the deviation and deviation ratio of the environmental parameter for being unsatisfactory for default value range;Using deviation and deviation ratio as fuzzy defeated Enter amount and carry out fuzzy reasoning and decision, obtains fuzzy control output quantity;Fuzzy control output quantity is refined and is controlled The precise volume of process;Environmental parameter is adjusted in precise volume based on controlled process.
One of ordinary skill in the art will appreciate that:Realize that all or part of step of above method embodiment can pass through The relevant hardware of program instruction is completed, and program above-mentioned can be stored in a computer read/write memory medium, the program When being executed, step including the steps of the foregoing method embodiments is executed;And storage medium above-mentioned includes:ROM, RAM, magnetic disc or light The various media that can store program code such as disk.
The embodiments such as information interaction device described above are only schematical, wherein illustrate as separating component Unit may or may not be physically separated, and the component shown as unit may or may not be object Manage unit, you can be located at a place, or may be distributed over multiple network units.It can select according to the actual needs Some or all of module therein is selected to achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying wound In the case of the labour for the property made, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can It is realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on Stating technical solution, substantially the part that contributes to existing technology can be expressed in the form of software products in other words, should Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including several fingers It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation Certain Part Methods of example or embodiment.
Finally, the present processes are only preferable embodiment, are not intended to limit the protection model of the embodiment of the present invention It encloses.With within principle, any modification, equivalent replacement, improvement and so on should be included in all spirit in the embodiment of the present invention Within the protection domain of the embodiment of the present invention.

Claims (9)

1. a kind of livestock and poultry cultivation regional environment parameter control method, which is characterized in that including:
Obtain the environmental parameter that sensor transmission is respectively adopted in target culturing area;
Obtain environmental parameter and the storage that default value range is unsatisfactory in environmental parameter;Based on being unsatisfactory for default value range Environmental parameter and the corresponding standard value of environmental parameter obtain the deviation and deviation of the environmental parameter for being unsatisfactory for default value range Rate;
Deviation and deviation ratio are subjected to fuzzy reasoning and decision as Indistinct Input amount, obtain fuzzy control output quantity;To fuzzy Control output quantity is refined to obtain the precise volume of controlled process;
Environmental parameter is adjusted in precise volume based on controlled process.
2. according to the method described in claim 1, it is characterized in that, environmental parameter is adjusted based on control strategy, later Further include repeating above steps, until environmental parameter meets default value range.
3. according to the method described in claim 1, it is characterized in that, respectively adopting sensor transmission in the acquisition target culturing area Environmental parameter, including:
Based on several wireless acquisition nodes being set in target culturing area, the environmental parameter in target culturing area is acquired; Based on the wireless aggregation node with the wireless communication connection of each wireless acquisition node, environmental parameter is summarized.
4. according to the method described in claim 1, it is characterized in that, obtaining the ring for being unsatisfactory for default value range in environmental parameter Border parameter, including:
Judge whether environmental parameter meets default value range based on block chain technology, acquisition is wherein unsatisfactory for default value range Environmental parameter;
Based on the environmental parameter for being unsatisfactory for default value range described in the storage of block chain technology.
5. according to the method described in claim 4, it is characterized in that, obtaining the ring for being unsatisfactory for default value range in environmental parameter Border parameter further includes before:
Confirm that environmental parameter is the environmental parameter of ancestor node transmission, and environmental parameter is not changed in transmission process.
6. according to the method described in claim 1, it is characterized in that, deviation and deviation ratio are obscured as Indistinct Input amount Reasoning and decision obtain fuzzy control output quantity, including:
Deviation and deviation ratio are blurred;
Deviation and deviation ratio based on fuzzy control list and blurring previously according to rule creation carry out fuzzy reasoning, obtain Fuzzy output amount.
7. method according to any one of claims 1 to 6, which is characterized in that the environmental parameter includes following at least one: Temperature, humidity, gas concentration lwevel, dust concentration, air flow rate, ammonia concentration and concentration of hydrogen sulfide.
8. the method according to the description of claim 7 is characterized in that environmental parameter is adjusted based on control strategy, including Following at least one:
Temperature is adjusted based on temperature adjustment module;
Humidity is adjusted based on moisture adjustment module;
Gas concentration lwevel is adjusted based on carbon dioxide adjustment module;
Dust concentration is adjusted based on dust concentration adjustment module;
Air flow rate is adjusted based on air flow rate adjustment module;
Ammonia concentration is adjusted based on ammonia concentration adjustment module;
Concentration of hydrogen sulfide is adjusted based on concentration of hydrogen sulfide adjustment module.
9. according to the method described in claim 8, it is characterized in that:
Temperature is adjusted based on temperature adjustment module, including:Based on pre-set cycle cascade and heating device to temperature Degree is adjusted;
Humidity is adjusted based on moisture adjustment module, including:Based on pre-set cycle cascade and wind speed, wind direction control Humidity is adjusted;
Gas concentration lwevel is adjusted based on carbon dioxide adjustment module, including:Based on pre-setting aerator to dioxy Change concentration of carbon to be adjusted;
Dust concentration is adjusted based on dust concentration adjustment module, including:Based on pre-set cycle cascade and wind speed, Humidity is adjusted in wind direction control;
Air flow rate is adjusted based on air flow rate adjustment module:Based on pre-set cycle cascade and wind Humidity is adjusted in speed, wind direction control;
Ammonia concentration is adjusted based on ammonia concentration adjustment module:Based on pre-set cycle cascade and wind speed, wind direction Humidity is adjusted in control;
Concentration of hydrogen sulfide is adjusted based on concentration of hydrogen sulfide adjustment module:Based on pre-set cycle cascade and wind speed, Humidity is adjusted in wind direction control.
CN201810089342.3A 2018-01-30 2018-01-30 A kind of livestock and poultry cultivation environmental parameter Fuzzy Optimal Control method Pending CN108445747A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810089342.3A CN108445747A (en) 2018-01-30 2018-01-30 A kind of livestock and poultry cultivation environmental parameter Fuzzy Optimal Control method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810089342.3A CN108445747A (en) 2018-01-30 2018-01-30 A kind of livestock and poultry cultivation environmental parameter Fuzzy Optimal Control method

Publications (1)

Publication Number Publication Date
CN108445747A true CN108445747A (en) 2018-08-24

Family

ID=63191176

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810089342.3A Pending CN108445747A (en) 2018-01-30 2018-01-30 A kind of livestock and poultry cultivation environmental parameter Fuzzy Optimal Control method

Country Status (1)

Country Link
CN (1) CN108445747A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110542454A (en) * 2019-09-10 2019-12-06 深圳市步云科技有限公司 Environmental quality detection system based on block chain and Internet of things application technology
CN113552806A (en) * 2020-12-14 2021-10-26 四川轻化工大学 Method for analyzing environmental parameters of breeding house based on fuzzy control algorithm
WO2022166919A1 (en) * 2021-02-08 2022-08-11 中国农业大学 Breeding environment temperature prediction and control system for livestock and poultry house, and adjustment and control method therefor

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH05156899A (en) * 1991-12-11 1993-06-22 Mitsui Miike Mach Co Ltd Tunnel ventilation system with fuzzy control
CN101650574A (en) * 2009-08-27 2010-02-17 柳平增 Livestock culture environment regulating device
CN102354119A (en) * 2011-09-01 2012-02-15 山东省农业科学院科技信息工程技术研究中心 Facility agricultural environment intelligent control method
CN103676886A (en) * 2013-12-17 2014-03-26 山东大学 Standardized henhouse environment and breeding information monitoring and managing system
CN104950948A (en) * 2015-05-21 2015-09-30 淮阴工学院 Intelligent cowshed temperature control system
CN107203229A (en) * 2017-06-26 2017-09-26 苏州市东成办公科技有限公司 A kind of computer temperature-control system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH05156899A (en) * 1991-12-11 1993-06-22 Mitsui Miike Mach Co Ltd Tunnel ventilation system with fuzzy control
CN101650574A (en) * 2009-08-27 2010-02-17 柳平增 Livestock culture environment regulating device
CN102354119A (en) * 2011-09-01 2012-02-15 山东省农业科学院科技信息工程技术研究中心 Facility agricultural environment intelligent control method
CN103676886A (en) * 2013-12-17 2014-03-26 山东大学 Standardized henhouse environment and breeding information monitoring and managing system
CN104950948A (en) * 2015-05-21 2015-09-30 淮阴工学院 Intelligent cowshed temperature control system
CN107203229A (en) * 2017-06-26 2017-09-26 苏州市东成办公科技有限公司 A kind of computer temperature-control system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
韩布伟: "《区块链 重塑经济的力量》", 31 December 2016, 中国铁道出版社 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110542454A (en) * 2019-09-10 2019-12-06 深圳市步云科技有限公司 Environmental quality detection system based on block chain and Internet of things application technology
CN113552806A (en) * 2020-12-14 2021-10-26 四川轻化工大学 Method for analyzing environmental parameters of breeding house based on fuzzy control algorithm
WO2022166919A1 (en) * 2021-02-08 2022-08-11 中国农业大学 Breeding environment temperature prediction and control system for livestock and poultry house, and adjustment and control method therefor

Similar Documents

Publication Publication Date Title
Barnes et al. The effect of lameness prevalence on technical efficiency at the dairy farm level: An adjusted data envelopment analysis approach
Hambali et al. IoT based smart poultry farm in Brunei
CN108445747A (en) A kind of livestock and poultry cultivation environmental parameter Fuzzy Optimal Control method
CN109634098A (en) A kind of fattening house environment conditioning system and method
Liu ECOLECON: An ECOLogical-ECONomic model for species conservation in complex forest landscapes
Piewthongngam et al. System dynamics modelling of an integrated pig production supply chain
Cacho et al. A simulation model of grazing sheep: II. Whole farm model
Plà Review of mathematical models for sow herd management
Mangel et al. A model at the level of the foraging trip for the indirect effects of krill (Euphausia superba) fisheries on krill predators
Bumanis et al. Data conceptual model for smart poultry farm management system
Lovarelli et al. Relating lying behavior with climate, body condition score, and milk production in dairy cows
Rand A stochastic model of the temporal aspect of breeding strategies
Faust et al. Models for management of wildlife populations: lessons from spectacled bears in zoos and grizzly bears in Yellowstone
CN116760719A (en) Method for constructing intelligent cultivation multi-mode internet of things information collection and early warning model
Sivamani et al. A service model for nutrition supplement prediction based on Fuzzy Bayes model using bigdata in livestock
Arhipova et al. Smart platform designed to improve poultry productivity and reduce greenhouse gas emissions
Shamsuddoha et al. A system dynamics approach for poultry operation to achieve additional benefits
Zuidhof et al. Smart poultry nutrition
CN105231334B (en) The method of quality control of caviar process
Klotz et al. Estimating action plans for smart poultry houses
CN113552806B (en) Breeding house environment parameter analysis method based on fuzzy control algorithm
Kaniyamattam et al. ASAS-NANP symposium: mathematical modeling in animal nutrition: agent-based modeling for livestock systems: the mechanics of development and application
Getz et al. A quantitative narrative on movement, disease and patch exploitation in nesting agent groups
CN112766866B (en) Time node-based block chain intelligent pasture supervision method, device and medium
Quinde et al. An IoT-Based System Implementing Statistical Models for the Post-Larvae Shrimp Acclimatisation Process

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20180824