CN103987170A - Facility tomato supplemental lighting adjustment and control method and system based on growth model - Google Patents
Facility tomato supplemental lighting adjustment and control method and system based on growth model Download PDFInfo
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- CN103987170A CN103987170A CN201410210032.4A CN201410210032A CN103987170A CN 103987170 A CN103987170 A CN 103987170A CN 201410210032 A CN201410210032 A CN 201410210032A CN 103987170 A CN103987170 A CN 103987170A
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P60/00—Technologies relating to agriculture, livestock or agroalimentary industries
- Y02P60/14—Measures for saving energy, e.g. in green houses
Abstract
Disclosed is a facility tomato supplemental lighting adjustment and control method based on a growth model. Three growth stages of the tomato seedling stage, the flowering stage and the fruiting stage are selected, the tomato leaf net photosynthetic rates at different temperatures and with concentrations of carbon dioxide and light intensities are measured, corresponding light saturation points at different temperatures and with concentrations of carbon dioxide are obtained, and a tomato optimized light saturation point model is built; the temperature, the concentration of carbon dioxide and the light intensity in the tomato growth environment are monitored in real time, whether the current light intensity is at the light saturation point corresponding to the current temperature and the current concentration of carbon dioxide is judged according to the growth stage of tomatoes and the tomato optimized light saturation point model, and if not, an LED light source is used for light supplementation until the light intensity reaches the light saturation point. The invention further provides a facility tomato supplemental lighting adjustment and control system based on the growth model, intelligent and quantitative light supplementation of the tomatoes is achieved, and great significance is brought to energy-saving and high-efficiency production of the facility tomatoes.
Description
Technical field
The invention belongs to agricultural technology field, particularly a kind of greenhouse tomato light filling regulate and control method and system based on growth model.
Background technology
China's industrialized agriculture production accounts for 90% of the world at present, but still there is the defects such as overall scientific and technological content is on the low side, corollary equipment is not enough in developed country relatively, particularly aspect the control of crop illumination environment, have the problems such as method for supervising and technology are single, control accuracy is poor, poor expandability, energy consumption is high, deployment maintenance is difficult, but the quality of illumination condition directly affects the yield and quality of crop.
In greenhouse tomato plantation, conventionally adopt fluorescent lamp, fluorescent lamp etc. as supplementary lighting sources, energy resource consumption is larger, has strengthened the cost of light filling; The light filling mode modes of determining illuminance that adopt more, do not consider the combined influence to tomato such as light intensity, temperature, carbon dioxide, caused the phenomenon of light filling deficiency or light filling surplus so existing, even cause light to suppress and photo damage phenomenon, and caused energy waste to a certain extent, further cause the waste of the energy; Regulator control system aspect adopts single-chip microcomputer to regulate and control more, the attainable function of the system that limited, and can operate and extensibility poor.
Summary of the invention
In order to overcome the shortcoming of above-mentioned prior art, the object of the present invention is to provide a kind of greenhouse tomato light filling regulate and control method and system based on growth model, realize tomato quantitatively light filling of intelligence as required, energy-conservation to facility tomato, High-efficient Production is significant.
To achieve these goals, the technical solution used in the present invention is:
A greenhouse tomato light filling regulate and control method based on growth model, comprises the steps:
Choose tomato seedling phase, florescence and three growth phases of fruiting period, measure the tomato leaf Net Photosynthetic Rate under different temperatures, gas concentration lwevel and intensity of illumination, obtain light saturation point corresponding under different temperatures, gas concentration lwevel condition, set up the optimum light saturation point model of tomato;
Temperature, gas concentration lwevel and intensity of illumination in Real-Time Monitoring tomato growth environment, according to the current residing growth phase of tomato, judge that in conjunction with the optimum light saturation point model of tomato whether current intensity of illumination is at Current Temperatures and the corresponding light saturation point of gas concentration lwevel, if not, utilize LED light source to carry out light filling until reach light saturation point.
In the time setting up model, choose different tomato varieties, finally set up the optimum light saturation point model of different cultivars, thereby realize the accurate light filling of different cultivars.
Utilizing before LED light source carries out light filling, calculate current intensity of illumination and obtain needing to mend light intensity value with corresponding light saturation point difference, then utilize the accurate light filling of pwm signal control mode control.
The present invention provides a kind of greenhouse tomato light filling regulator control system based on growth model simultaneously, comprising:
Monitoring modular, is made up of system for detecting temperature, illumination intensity detection system and gas concentration lwevel detection system;
Intelligent dimming control module, comprise database and processor, wherein, in described database, store the optimum light saturation point model of tomato, described model is by choosing tomato seedling phase, florescence and three growth phases of fruiting period, measure the tomato leaf Net Photosynthetic Rate under different temperatures, gas concentration lwevel and intensity of illumination, obtain light saturation point corresponding under different temperatures, gas concentration lwevel condition, then set up and obtain; Described processor receives the data that monitoring modular sends, then the model in calling data storehouse, root is according to the current residing growth phase of tomato, judge that whether current intensity of illumination is at Current Temperatures and the corresponding light saturation point of gas concentration lwevel, if not, send light filling control command to supplementary lighting module;
Supplementary lighting module, adopts array-type LED light source, receives the light filling control command unlatching light filling that intelligent dimming control module sends;
Communication module, adopts 485 bus structures, from monitoring modular to intelligent dimming control module transmission of monitoring data, sends light filling control command from intelligent dimming control module to supplementary lighting module.
Described system for detecting temperature is mainly made up of thermistor, collecting temperature; Illumination intensity detection system gathers intensity of illumination by optical sensor; Gas concentration lwevel detection system is made up of carbon dioxide sensor module, gathers gas concentration lwevel.
The LED light source of described supplementary lighting module is by the control of pwm signal drive circuit, in described intelligent dimming control module, processor calculates current intensity of illumination and obtains needing to mend light intensity value with corresponding light saturation point difference, and then the control of output multi-channel pwm signal is opened LED light source and adjusted corresponding bright and realize quantitatively accurately light filling.
In intelligent dimming control module, be set with time block and threshold data, time block is for the switching time of control system; Threshold data comprises temperature threshold, intensity of illumination threshold value and gas concentration lwevel threshold value, in the time that Current Temperatures is within the scope of temperature threshold, just monitor current gas concentration lwevel, in the time that current gas concentration lwevel is in gas concentration lwevel threshold range, just monitor current intensity of illumination.
Compared with prior art, the invention has the beneficial effects as follows:
1, the present invention has designed a set of greenhouse tomato light filling control system, and this system adopts the mode of exploitation PC end software, has highly versatile, high, the easy expansion of stability, the feature such as easy and simple to handle and intelligent compared with control system in the past.
2, the regulation and control algorithm in native system is to obtain by experiment and through the mode of data fitting, has taken into full account tomato variety, tomato growth stage, ambient temperature and CO in algorithm
2the shadow of concentration to tomato photosynthesis, realize according to extraneous factor the real-time light requirement of tomato has been carried out to intelligent control, overcome regulator control system in the past and determined the shortcoming such as light filling quantity not sufficient and light inhibition that light quantity causes, for tomato provides best growing environment, at utmost improve greenhouse tomato output and quality, reduce energy resource consumption, realized modern management and the precision operation of greenhouse tomato Illumination.
Brief description of the drawings
Fig. 1 is entire system frame diagram of the present invention.
Fig. 2 is light filling amount intelligent decision algorithm flow chart of the present invention.
Embodiment
Describe embodiments of the present invention in detail below in conjunction with drawings and Examples.
As shown in Figure 1, the present invention is based on the greenhouse tomato light filling regulator control system of growth model, comprise monitoring modular, intelligent dimming control module, supplementary lighting module and communication module.Monitoring modular is made up of system for detecting temperature, illumination intensity detection system and gas concentration lwevel detection system, enter the monitoring of instantaneous information, communication module adopts 485 bus structures, and the Monitoring Data of monitoring modular transfers to intelligent dimming control module by communication module.Intelligent dimming control module comprises database and processor, processor receives after Monitoring Data, use intelligent dimming algorithm, according to the optimum light saturation point model of the tomato in database, judge whether to need light filling, and in the time of needs light filling, calculate light filling amount accurately, send multi-channel PWM control command, reach supplementary lighting module by 485 buses.Supplementary lighting module adopts array-type LED light source, by the control of pwm signal drive circuit, and the PWM control command of sending according to intelligent dimming control module, the corresponding bright of adjusting LED light source realizes quantitatively accurately light filling.
Wherein, the optimum light saturation point model of tomato is stored in database, and its process of establishing is as follows:
1, choose the tomato of different cultivars, by the cultivation of growing seedlings in greenhouse;
2, choose the tomato of healthy growth, measure the tomato leaf Net Photosynthetic Rate under its Seedling Stage, florescence and fruiting period three growth phase different temperatures, gas concentration lwevel and intensities of illumination, use MATLAB software to process experimental data, obtain light saturation point corresponding under different temperatures, gas concentration lwevel condition, thereby set up the optimum light saturation point model of tomato of different cultivars.
A specific embodiment that the invention provides model foundation is as follows:
Choose the tomato research object of three kinds of typical long fruit types, rib fruit type and apple shapes, by the cultivation of growing seedlings in greenhouse, choose the tomato of healthy growth and test.Utilize the portable photosynthesis measuring system of Li-6400xt control temperature, gas concentration lwevel and intensity of illumination, thereby obtain the photoresponse curve under different temperatures, gas concentration lwevel, the intensity of illumination gradient of photoresponse curve is set to 0,10,30,50,100,200,300,500,700,1000,1200,1500,2000mmolm
-2s
-1, temperature gradient is set to 16,19,22,25,28,31,34,37,40 DEG C, and gas concentration lwevel gradient is 300,400,500,600,700,800,900,1000,1100,1200,1300,1500 μ molm
-2s
-1, every group of experiment in triplicate.
The data acquisition MATLAB software that experiment records is processed.The explanation data handling procedure as an example of the experimental data of tomato seedling phase example below, other phase process method is identical.
1, experimental data preliminary treatment: the initial data that experiment is recorded is carried out gross error processing, removes irrational experimental data, and data after treatment are averaged, and finally obtains different temperatures, different CO
2the photoresponse curve of correspondence under concentration
2, calculate light saturation point: by the different temperatures obtaining, different CO after preliminary treatment
2under concentration, corresponding photoresponse curve adopts the mode of genetic algorithm maximizing to obtain light saturation point, thereby obtains different temperatures, CO
2the light saturation point of correspondence under concentration.
3, set up regulation and control algorithm: adopt the mode of Multiple Non-linear Regression Analysis to set up temperature, CO
2the regression equation of concentration and light saturation point, finally sets up with temperature, CO
2concentration is independent variable, the regulation and control algorithm that light saturation point is dependent variable.
In intelligent dimming algorithm, first temperature, intensity of illumination and the dense carbon dioxide degrees of data based on monitoring, calculate the light filling amount under varying environment condition by the optimum light saturation point model of tomato, be output as each road pwm signal, send to the pwm signal drive circuit of each Nodes supplementary lighting module by 485 buses, complete quantitatively accurately light modulation.
The course of work of the present invention, monitoring modular completes the collection to facilities environment data (temperature, gas concentration lwevel and intensity of illumination), and by the communication mode of 232 port-232, serial ports-485 serial ports complete and intelligent dimming control module (can adopt PC) between information interaction, complete relevant decision-making by processor, assign relevant control order, LED light compensating lamp is made to corresponding regulation and control, thereby reach the object of Intelligent supplemental lighting.
Supplementary lighting module adopts LED light source, utilizes natural daylight LED array light filling.By the control of pwm signal drive circuit, the arrangement mode that LED lamp group adopts is that square is nested, reaches the identical object of light distribution that horizontal and vertical both direction produces.Be connected processor by 232 serial ports with 485 buses, receive the multi-channel PWM signal of its transmission, to each lamp group, brightness is adjusted, and reaches even light filling.
Communication module of the present invention realizes the work that issues of uploading with ordering of intermodular data, realizes by 485 bus structures.
Control mode of the present invention is divided into manual control and automatically controls two kinds, manually controls by selecting the equipment of respective regions and the state of equipment (opening or closing), directly equipment is controlled.
When manually control model is opened, supplementary lighting module adopts maximum to carry out light filling; When manual mode is closed, if automatically control and open, system enters automatic control mode, if automatically control and close, light compensating lamp is closed.
Automatically control and comprise timing controlled and threshold values control.Timing controlled, by the switching time of setting relevant device equipment being controlled automatically, changes when arriving equipment state after setting-up time thereupon.Threshold values control is controlled equipment automatically by set environment factor bound, and when a certain envirment factor in production environment exceeds setting boundary, relevant device is automatically opened or closed adjusting ambient situation, until envirment factor data recover normal.Intelligent decision module is by the temperature detecting in real time, CO
2concentration, light intensity and tomato growth stage are carried out Treatment Analysis, call related algorithm, finally light filling amount are carried out to decision-making and control, and light filling amount intelligent decision algorithm as shown in Figure 2.
Instance analysis:
Apply this system on the spot, below enumerate the concrete data in tomato seedling phase system regulation process.
Claims (8)
1. the greenhouse tomato light filling regulate and control method based on growth model, is characterized in that, comprises the steps:
Choose tomato seedling phase, florescence and three growth phases of fruiting period, measure the tomato leaf Net Photosynthetic Rate under different temperatures, gas concentration lwevel and intensity of illumination, obtain light saturation point corresponding under different temperatures, gas concentration lwevel condition, set up the optimum light saturation point model of tomato;
Temperature, gas concentration lwevel and intensity of illumination in Real-Time Monitoring tomato growth environment, according to the current residing growth phase of tomato, judge that in conjunction with the optimum light saturation point model of tomato whether current intensity of illumination is at Current Temperatures and the corresponding light saturation point of gas concentration lwevel, if not, utilize LED light source to carry out light filling until reach light saturation point.
2. the greenhouse tomato light filling regulate and control method based on growth model according to claim 1, it is characterized in that, in the time setting up model, choose different tomato varieties, finally set up the optimum light saturation point model of different cultivars, thereby realize the accurate light filling of different cultivars.
3. the greenhouse tomato light filling regulate and control method based on growth model according to claim 1, it is characterized in that, utilizing before LED light source carries out light filling, calculate current intensity of illumination and obtain needing to mend light intensity value with corresponding light saturation point difference, then utilize the accurate light filling of pwm signal control mode control.
4. the greenhouse tomato light filling regulator control system based on growth model, is characterized in that, comprising:
Monitoring modular, is made up of system for detecting temperature, illumination intensity detection system and gas concentration lwevel detection system;
Intelligent dimming control module, comprise database and processor, wherein, in described database, store the optimum light saturation point model of tomato, described model is by choosing tomato seedling phase, florescence and three growth phases of fruiting period, measure the tomato leaf Net Photosynthetic Rate under different temperatures, gas concentration lwevel and intensity of illumination, obtain light saturation point corresponding under different temperatures, gas concentration lwevel condition, then set up and obtain; Described processor receives the data that monitoring modular sends, then the model in calling data storehouse, root is according to the current residing growth phase of tomato, judge that whether current intensity of illumination is at Current Temperatures and the corresponding light saturation point of gas concentration lwevel, if not, send light filling control command to supplementary lighting module;
Supplementary lighting module, adopts array-type LED light source, receives the light filling control command unlatching light filling that intelligent dimming control module sends;
Communication module, adopts 485 bus structures, from monitoring modular to intelligent dimming control module transmission of monitoring data, sends light filling control command from intelligent dimming control module to supplementary lighting module.
5. the greenhouse tomato light filling regulator control system based on growth model according to claim 4, is characterized in that, described system for detecting temperature is mainly made up of thermistor, collecting temperature; Illumination intensity detection system gathers intensity of illumination by optical sensor; Gas concentration lwevel detection system is made up of carbon dioxide sensor module, gathers gas concentration lwevel.
6. the greenhouse tomato light filling regulator control system based on growth model according to claim 4, it is characterized in that, the LED light source of described supplementary lighting module is by the control of pwm signal drive circuit, in described intelligent dimming control module, processor calculates current intensity of illumination and obtains needing to mend light intensity value with corresponding light saturation point difference, and then the control of output multi-channel pwm signal is opened LED light source and adjusted corresponding bright and realize quantitatively accurately light filling.
7. the greenhouse tomato light filling regulator control system based on growth model according to claim 4, is characterized in that, is set with time block and threshold data in intelligent dimming control module, and time block is for the switching time of control system; Threshold data comprises temperature threshold, intensity of illumination threshold value and gas concentration lwevel threshold value, in the time that Current Temperatures is within the scope of temperature threshold, just monitor current gas concentration lwevel, in the time that current gas concentration lwevel is in gas concentration lwevel threshold range, just monitor current intensity of illumination.
8. the greenhouse tomato light filling regulate and control method based on growth model according to claim 4, is characterized in that, in the time setting up the optimum light saturation point model of tomato, chooses different tomato varieties, finally sets up the optimum light saturation point model of different cultivars.
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| CN104920088A (en) * | 2015-06-10 | 2015-09-23 | 小米科技有限责任公司 | Plant growth environment adjusting method and device |
| CN104982242A (en) * | 2015-08-03 | 2015-10-21 | 京东方科技集团股份有限公司 | Intelligent dimmer system and method of crop growth process |
| CN105159119A (en) * | 2015-09-01 | 2015-12-16 | 中山大学 | Indoor intelligent plant maintenance device, system and method |
| CN105607665A (en) * | 2016-03-21 | 2016-05-25 | 安徽工程大学 | Intelligence control system for greenhouse |
| CN106793424A (en) * | 2017-02-13 | 2017-05-31 | 厦门迈信物联科技股份有限公司 | One plant growth spectrum Automatic adjustment method |
| CN107291126A (en) * | 2017-05-31 | 2017-10-24 | 西北农林科技大学 | A kind of facility light supplement control method and system based on crop demand |
| CN107656564A (en) * | 2016-07-26 | 2018-02-02 | 株式会社有机尼科 | The warm indoor environment control device of agricultural |
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| CN110377961A (en) * | 2019-06-25 | 2019-10-25 | 北京百度网讯科技有限公司 | Crop growth environment control method, device, computer equipment and storage medium |
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| CN107291126A (en) * | 2017-05-31 | 2017-10-24 | 西北农林科技大学 | A kind of facility light supplement control method and system based on crop demand |
| CN109121809A (en) * | 2018-09-26 | 2019-01-04 | 济南新吉纳远程测控股份有限公司 | A kind of electricity saving method and its device, application for cultivating plant by artificial light source |
| CN109752998A (en) * | 2018-12-30 | 2019-05-14 | 重庆城市职业学院 | One kind being based on LORA technology wisdom greenhouse group remote monitoring system |
| CN109769533A (en) * | 2019-03-12 | 2019-05-21 | 福州阿里他巴信息科技有限公司 | A kind of liquid manure gas integral spray irrigation system |
| CN110377961A (en) * | 2019-06-25 | 2019-10-25 | 北京百度网讯科技有限公司 | Crop growth environment control method, device, computer equipment and storage medium |
| CN110806775A (en) * | 2019-12-05 | 2020-02-18 | 上海离草科技有限公司 | Automatic control device for plant container seedling |
| CN111418455A (en) * | 2020-04-03 | 2020-07-17 | 苏州莱思德农业科技有限公司 | Novel L ED light supplement management method suitable for winter ecological cultivation of small tomatoes |
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