CN201595053U - Fuzzy irrigation control system - Google Patents

Fuzzy irrigation control system Download PDF

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Publication number
CN201595053U
CN201595053U CN2009203158543U CN200920315854U CN201595053U CN 201595053 U CN201595053 U CN 201595053U CN 2009203158543 U CN2009203158543 U CN 2009203158543U CN 200920315854 U CN200920315854 U CN 200920315854U CN 201595053 U CN201595053 U CN 201595053U
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China
Prior art keywords
fuzzy
reasoning
irrigation
output
links
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Expired - Fee Related
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CN2009203158543U
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Chinese (zh)
Inventor
张兵
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Changzhou Institute of Technology
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Changzhou Institute of Technology
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/10Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
    • Y02A40/22Improving land use; Improving water use or availability; Controlling erosion

Abstract

The utility model relates to a fuzzy irrigation control system, which comprises a fuzzification interface, a database, a rule base, a reasoning unit and a defuzzification interface. The database is used for storing membership vector value of complete fuzzy subsets of all input and output variables; the rule base is used for storing all fuzzy control rules; the reasoning unit connected with an output end of the fuzzification interface obtains membership of all corresponding fuzzy subsets according to inputted signals after fuzzification, and performs fuzzy reasoning according to the fuzzy control rules to obtain corresponding fuzzy output; and the defuzzification interface is connected with an output end of the reasoning unit. As the system adopts fuzzy reasoning, the fuzzy rules in the fuzzy reasoning are obtained from summary of long-term experiences, and the system overcomes the shortcoming that a calculated crop water requirement has large deviation with actual crop water requirement in a traditional irrigation model. When in irrigation control, a reasoning system calculates the crop water requirement at a specified interval and performs corresponding irrigation measures, thereby the fuzzy irrigation control system not only saves water, but also can irrigate, facilitate growing of crops, and improve crop yield.

Description

A kind of fuzzy irrigation control system
Technical field
The utility model relates to a kind of fuzzy irrigation control system.
Background technology
Existing extensive irrigation method and the irrigation technique requirement of incompatibility modern agriculture that falls behind, the development water-saving irrigation is imperative.Irrigation automation can alleviate the labour intensity of pouring water greatly, raises labour productivity, and reduces the duty loss, is the modern sign of irrigation management, is the direction and the trend of irrigation farming development.The passive water-feeding type of still artificial mostly decision irrigation time of some present irrigation systems and irrigation volume is irrigated, therefore its irrigation time and duty might not be reasonable to growing seedlings, and implementing according to crop water shortage information that smart amount control irrigates is one of the important channel of improving the production efficiency of the availability of water and water.
The utility model content
Technical problem to be solved in the utility model provides a kind of fuzzy irrigation control system that can take corresponding irrigation method according to solar radiation, relative air humidity, temperature and crop evapotranspiration, with the conserve water resource, optimize fertilising and prevent the soil alkalinization.
For solving the problems of the technologies described above, the utility model provides a kind of fuzzy irrigation control system, comprise: be used to gather solar radiation quantity information, the defuzzification interface of relative air humidity information and crop evapotranspiration information, be used to store all inputs, the database of whole fuzzy subsets' of output variable degree of membership vector value, be used to store the rule base of whole fuzzy control rules, the signal after obfuscation according to input of being used for that links to each other with the output of described defuzzification interface obtains corresponding each fuzzy subset's degree of membership and carries out fuzzy reasoning and obtain accordingly the reasoning element of fuzzy output according to described fuzzy control rule, and the ambiguity solution interface that links to each other with the output of described reasoning element.
Further, the data message input of described reasoning element links to each other with described database, and the Rule Information input of reasoning element links to each other with described rule base, and the control signal output of ambiguity solution interface links to each other with the control input end of irrigating executing agency.
Further, the signal input part of described defuzzification interface links to each other with solar radiation quantity sensor, relative air humidity sensor and crop evapotranspiration sensor through the A/D converter.
The utlity model has positive effect: (1) fuzzy irrigation control system of the present utility model, determine the water demand of crop jointly by crop evapotranspiration and soil water potential, it was than only determined by crop evapotranspiration or soil water potential that water demand of crop reasoning process was more reasonable in the past, and The reasoning results is more accurate.(2) because native system adopts fuzzy reasoning, and fuzzy rule wherein is the summary of the experience of irrigating for a long time, this has just overcome the water demand of crop and the bigger defective of the actual water requirement deviation of crop that calculates in the traditional irrigation model.(3) if this system employs to irrigating in the control, calculate water demand of crop every this inference system of regular hour, and make corresponding irrigation practice, can not only save a large amount of irrigation water like this, and can pour water in right amount, help the growth of crop, thereby improved the output of crop.(4) if geographical environment or crop species that this inference system is used change to some extent, only need the upper limit value and lower limit value and the corresponding language rule of modification system to get final product, also can be by revising the performance that language rule changes system, till system can obtain good control effect.Therefore the transplantability of this system is better.
Description of drawings
For the easier quilt of content of the present utility model is clearly understood, below the specific embodiment and in conjunction with the accompanying drawings of basis, the utility model is described in further detail, wherein
Fig. 1 is the structural representation of the mounted fuzzy irrigation control system of attached wall among the embodiment.
Embodiment
See Fig. 1, the fuzzy irrigation control system of present embodiment, comprise: be used to gather solar radiation quantity information, the defuzzification interface of relative air humidity information and crop evapotranspiration information, be used to store all inputs, the database of whole fuzzy subsets' of output variable degree of membership vector value, be used to store the rule base of whole fuzzy control rules, the signal after obfuscation according to input of being used for that links to each other with the output of described defuzzification interface obtains corresponding each fuzzy subset's degree of membership and carries out fuzzy reasoning and obtain accordingly the reasoning element of fuzzy output according to described fuzzy control rule, and the ambiguity solution interface that links to each other with the output of described reasoning element.
The data message input of described reasoning element links to each other with described database, and the Rule Information input of reasoning element links to each other with described rule base, and the control signal output of ambiguity solution interface links to each other with the control input end of irrigating executing agency.
The signal input part of described defuzzification interface links to each other with solar radiation quantity sensor, relative air humidity sensor and crop evapotranspiration sensor through the A/D converter.
For Fuzzy processing is carried out in solar radiation and air humidity, at first to determine to import, the domain of output variable.The data that the domain of solar radiation and air humidity can accumulate from the weather forecast station are throughout the year determined, and the domain of transpiration quantity can be calculated by the input quantity domain.Suppose that per 20 minutes master slave systems obtain intensity of solar radiation and medial humidity from weather station, are input in the fuzzy system after Fuzzy processing.The variation domain of input/output variable is shown in table 1-1.
The variation domain of table 1-1 I/O variable
Input/output variable Unit Minimum of a value Maximum
Solar radiation W/m 2/20min 0 1200
Air humidity 16 100
Crop evapotranspiration mm/20min 0 0.30
Finally to produce a definite control signal as a control system, and realize the physics of system is controlled with this pushing executing mechanism.The The reasoning results of fuzzy controller is a fuzzy quantity, must handle this fuzzy quantity, asks for the appropriate accurate amount that can react fuzzy quantity, promptly carries out sharpening.
The sharpening of fuzzy quantity has many methods, and wherein relatively commonly used has three kinds, i.e. maximum membership degree method, meta collimation method and gravity model appoach.In this fuzzy inference system, the utilization gravity model appoach carries out sharpening to fuzzy quantity.
The fuzzy irrigation control system of present embodiment obtains the soil water potential value from humidity sensor, just crop is irrigated in a large number if soil water potential is lower than lower limit, just stops to irrigate if soil water potential is higher than higher limit.When soil water potential is between upper lower limit value,, carry out fuzzy reasoning then being input in the system after soil water potential and these two input quantity obfuscations of crop evapotranspiration.Because it is accurate amount that executing agency requires, so system must carry out ambiguity solution at last, obtains accurate output quantity and controls executing agency.This water demand of crop fuzzy inference system is to be input with crop evapotranspiration and soil moisture, is the dual input of output, the fuzzy inference system of single output with the water demand of crop.
The foregoing description only is for the utility model example clearly is described, and is not to be qualification to embodiment of the present utility model.For those of ordinary skill in the field, can also make other changes in different forms on the basis of the above description.Here need not also can't give exhaustive to all embodiments.

Claims (3)

1. fuzzy irrigation control system, it is characterized in that comprising: be used to gather solar radiation quantity information, relative air humidity information, the defuzzification interface of temperature information and crop evapotranspiration information, be used to store all inputs, the database of whole fuzzy subsets' of output variable degree of membership vector value, be used to store the rule base of whole fuzzy control rules, the signal after obfuscation according to input of being used for that links to each other with the output of described defuzzification interface obtains corresponding each fuzzy subset's degree of membership and carries out fuzzy reasoning and obtain accordingly the reasoning element of fuzzy output according to described fuzzy control rule, and the ambiguity solution interface that links to each other with the output of described reasoning element.
2. a kind of fuzzy irrigation control system according to claim 1, it is characterized in that: the data message input of described reasoning element links to each other with described database, the Rule Information input of reasoning element links to each other with described rule base, and the control signal output of ambiguity solution interface links to each other with the control input end of irrigating executing agency.
3. a kind of fuzzy irrigation control system according to claim 1 is characterized in that: the signal input part of described defuzzification interface links to each other with solar radiation quantity sensor, relative air humidity sensor, temperature sensor and crop evapotranspiration sensor through the A/D converter.
CN2009203158543U 2009-11-26 2009-11-26 Fuzzy irrigation control system Expired - Fee Related CN201595053U (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104089650A (en) * 2014-07-10 2014-10-08 中国水利水电科学研究院 Crop canopy temperature and soil moisture content data monitoring system and application thereof
CN104381097A (en) * 2014-11-21 2015-03-04 无锡悟莘科技有限公司 Fuzzy control irrigation system
CN105532383A (en) * 2015-12-29 2016-05-04 刘震 Sunshine duration controlling and agricultural decision making device
CN105629826A (en) * 2014-12-10 2016-06-01 广东技术师范学院 Intelligent watering device
CN105941100A (en) * 2016-06-21 2016-09-21 常州工学院 Novel constant-pressure sprinkling irrigation control system
CN111109057A (en) * 2020-01-14 2020-05-08 温州永昌建设有限公司 Irrigation method and device for greening and maintaining gardens

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104089650A (en) * 2014-07-10 2014-10-08 中国水利水电科学研究院 Crop canopy temperature and soil moisture content data monitoring system and application thereof
CN104381097A (en) * 2014-11-21 2015-03-04 无锡悟莘科技有限公司 Fuzzy control irrigation system
CN105629826A (en) * 2014-12-10 2016-06-01 广东技术师范学院 Intelligent watering device
CN105532383A (en) * 2015-12-29 2016-05-04 刘震 Sunshine duration controlling and agricultural decision making device
CN105941100A (en) * 2016-06-21 2016-09-21 常州工学院 Novel constant-pressure sprinkling irrigation control system
CN111109057A (en) * 2020-01-14 2020-05-08 温州永昌建设有限公司 Irrigation method and device for greening and maintaining gardens
CN111109057B (en) * 2020-01-14 2022-02-01 温州永昌建设有限公司 Irrigation method and device for greening and maintaining gardens

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Granted publication date: 20101006

Termination date: 20121126