CN105159257B - A kind of plant factor's integrated control system and method - Google Patents

A kind of plant factor's integrated control system and method Download PDF

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Publication number
CN105159257B
CN105159257B CN201510528624.5A CN201510528624A CN105159257B CN 105159257 B CN105159257 B CN 105159257B CN 201510528624 A CN201510528624 A CN 201510528624A CN 105159257 B CN105159257 B CN 105159257B
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production
mrow
plant
msubsup
seedbed
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CN105159257A (en
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冯毅萍
荣冈
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浙江大学
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G05B19/41865Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01CPLANTING; SOWING; FERTILISING
    • A01C23/00Distributing devices specially adapted for liquid manure or other fertilising liquid, including ammonia, e.g. transport tanks, sprinkling wagons
    • A01C23/04Distributing under pressure; Distributing mud; Adaptation of watering systems for fertilising-liquids
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01GHORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G7/00Botany in general
    • A01G7/04Electric or magnetic or acoustic treatment of plants for promoting growth
    • A01G7/045Electric or magnetic or acoustic treatment of plants for promoting growth with electric lighting
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01GHORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G9/00Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
    • A01G9/24Devices or systems for heating, ventilating, regulating temperature, illuminating, or watering, in greenhouses, forcing-frames, or the like
    • A01G9/246Air-conditioning systems
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01GHORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G9/00Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
    • A01G9/24Devices or systems for heating, ventilating, regulating temperature, illuminating, or watering, in greenhouses, forcing-frames, or the like
    • A01G9/247Watering arrangements
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32089Action and material and technology combined to manufacture product
    • 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
    • Y02A40/25Greenhouse technology, e.g. cooling systems therefor
    • 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
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00Climate change mitigation technologies for sector-wide applications
    • Y02P80/10Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier

Abstract

The invention discloses a kind of plant factor's integrated control system and method, according to the default production cycle according to production and operation database with economic benefit be up to principle formation initial production scheme, and initial production scheme is modified according to the mechanism characteristic and actual consumption cost of plant under initial production scheme, obtain the optimal production decision of economic benefit highest.The present invention formulates production decision according to different crop species, obtain the optimal production schedule, not only consider plant growth mechanism characteristic but also take into account the technological requirement of plant factor's actual production process, so that Production Scheduling has bigger practice significance, the solution for seeking plant factor's integrated optimization is given, the integrated optimization of the production schedule and plant factor's production process operation is realized.

Description

A kind of plant factor's integrated control system and method
Technical field
The present invention relates to plant factor's control field, and in particular to a kind of plant factor's integrated control system and method.
Background technology
The target of modern agricultural production should high-yield and high-efficiency, again high quality and low cost.Modern times using plant factor as representative set This tendency of the day has been complied with the development for applying agricultural, and it is integrated with modern information technologies and agricultural engineering technology, with batch production The agricultural production of traditional extensive style is transformed in precision management, achieves good effect.
Plant factor's production process control includes environment and liquid manure two subsystems.Environmental factor includes temperature, humidity, light According to, gas concentration lwevel etc., environmental Kuznets Curves subsystem is sought to by controlling these amblent air temperature factors, is that plant growth is created Good environment condition.Liquid manure control subsystem includes irrigating and fertilising control two parts, major control duty and fertilizer product Matter (such as EC/PH values).Plant factor's base control technology obtains rapid progress, environment of plant control and water-fertilizer conditioning in recent years Automation is progressively moved towards, auxiliary facility is increasingly complete.
Work production scheduling is a key problem of plant factor's fine-grained management, i.e., how basis is formulated for information about Interim planting scheme, so as to obtain optimal productivity effect.Because the agricultural crops production cycle is different in size, production schedule system It is fixed exist can not modificability the features such as, the accuracy that the production schedule is formulated has larger for the final economic benefit of plant factor Influence.
Further, since plant growth has high dependency to environment temperature, energy optimization and temperature adjusting technology are always Since be plant greenhouse area research emphasis.Traditional plant factory control stress point focuses on the control of the basic environment factor mostly System, with the actual demand of efficient energy-saving and cost optimization, integrated optimizes Management and control system and method into new research Focus.
Patent No. CN201410735279 patent of invention discloses a kind of greenhouse for monitoring plant factor's growth factor Device and its monitoring method, including greenhouse apparatus, carbon dioxide monitoring module, ozone monitoring module and ethene monitoring module.
Patent No. CN201410684635 patent of invention discloses a kind of greenhouse type plant work for the production of flowers and plants Factory's system, including intelligent environment systems, soilless culture system, upper-level control system.
Patent No. CN201410588304 patent of invention discloses a kind of employing multicolor LED intelligent plant factor Illumination control system and method, by carrying out continuous, online in real time visit to the luminous powers of a variety of photochromic LED plant lamps Survey, adjust the luminous power of a variety of photochromic LED plant lamps in the lighting requirements of different growth phases with reference to plant so that plant Plant in factory is in optimal growth conditions.
Patent No. CN201310414613 patent of invention is related to a kind of flowing water based on plant growth characteristics and rule The implementation method of wire type plant factor is there is provided a kind of expandable type plant production mode, and simulating plant is in whole developmental process In optimum growh environment.
Patent No. CN201310037258 patent of invention is related to a kind of plant planting system, including enclose cover formula independently of The planting area of extraneous utilization lamp, the central control system being controlled to environment in planting area and with center The sub-control system of control system contact.
Patent No. CN201210573160 patent of invention is related to a kind of greenhouse temperature control system, including cold and hot Interchanger, hot and cold water it is dual-purpose insulation storage box and air's loop distribution machine and air-supply exhaust system, make warmhouse booth or The indoor temperature in other places regulates and controls freely, in a short time, rapid cooling or heating, is invested into for the first time so as to reduce user Sheet and long-play expense.
Patent No. CN201410271472 patent of invention is related to a kind of energy saving greenhouse control system based on season, bag Include real-time and historical data base system, greenhouse sensor-based system, zoning controller and computer control system.
Patent No. CN201310316947 patent of invention discloses a kind of planting industry green house control method and controller, By the way that actual temperature value is corresponding with the progress of preset temperature information, obtain relative with the actual temperature information or real time information The air port gear information answered, controller control ventilating opening opens corresponding gear.
The Patent No. CN201310296504 patent of invention present invention provides a kind of greenhouse control based on CFD numerical simulations Method processed, makes pid parameter adjust by calculating simulation and calculate realization, engineer does not use greenhouse scene, or greenhouse is in Design phase just can determine that the pid control parameter in greenhouse.
Patent No. CN201110359701 patent of invention discloses a kind of greenhouses control device, including is installed in greenhouse The solar panels and device for converting electric energy and the battery installed in inside greenhouse at top, temperature-sensitive sticker, humidity sensor, Humidifier, warmer, controller and lighting device.
Patent No. CN200710041549 patent of invention discloses a kind of greenhouse intelligent control method, with crop intelligence The overall weather in greenhouse is controlled based on database, then tracks the real time information during plant growth, corrects and improves database, and Chaotic signal is superimposed in the input data for controlling greenhouse climate, is achieved along with nerve network controller optimizes regulation 's.
Patent No. CN200410014434 patent of invention discloses a kind of greenhouse flower based on economic optimum Technology, by database, the control effect database of setting up envirment factor and crop growth amount.Calculate institute's energy within the setting period The envirment factor expectations of control amount reached, while calculating the control cost P at this moment spent by mechanism action;Calculate again The economic output value C of crop;The C/P value maximum by calculating selection, it is determined that to be control targe by regulating and controlling by economic optimum The control program that the different operating states of mechanism are combined.
Jiangsu University Xiang Meijing proposes a kind of " the greenhouse environment factor optimising and adjustment method based on information fusion ", sets up A kind of chamber crop C02 concentration-photosynthetic rate forecast model, temperature-photosynthetic rate forecast model, C02Loss cost model, Temperature adjusting cost model etc., and set up market price rule model by foundation of price Rules of Seasonal Changes.
Chinese University of Science and Technology's Qin Lin beautiful jades etc. are by regarding the outdoor environment factor as the continuous input quantity of system, the opening and closing of skylight State establishes the model modern greenhouse temperature of greenhouse mixed-valued counter as discrete variable, indoor temperature as continuous output Spend the modeling of hybrid system.Chinese University of Science and Technology prince ocean etc. proposes a kind of greenhouse temperature/humidity control method based on switching control.
The content of the invention
In view of the shortcomings of the prior art, the invention provides a kind of plant factor's integrated control system and method.The present invention It is quantitative by building plant production Process Energy balance and mass balance equation with reference to the growth rhythm and physiological property of plant Or the factor and degree of qualitative research influence plant factor envirment factor, calculate and control to maintain the energy needed for greenhouse specific environment Load is consumed, the environment conditioning algorithm of integrated energy optimization is set up, provides the optimal Plant plane of plant factor's plant growth, reach The effect of energy efficiency, provides for plant factor's design, production, development and environment conditioning and instructs foundation.
A kind of plant factor's integrated control system, including:
Production and operation database, resource data, environmental data, creation data, marketing data comprising plant factor;
The production plan module of integrated working condition, according to the default production cycle according to production and operation database with economy It is most effective for principle formation initial production scheme, and mechanism characteristic according to plant under initial production scheme and plant factor Actual consumption cost is modified obtained optimal production decision to initial production scheme;
Plant production process simulator, it is special according to the mechanism that real-time growing environment emulates the plant under initial production scheme Property, and feedback is made for industry schedule module for amendment initial production scheme;
Energy consumption control module, using multimedium energy consumption model calculate initial production scheme under plant factor actual consumption into This, and production plan module is fed back to for amendment initial production scheme;
Information gathering and environmental control module, for the real-time growing environment of herborization, and according to integrated working condition Production plan module output optimal production decision control plant growing environment.
Resource data include plant factor's cultivating stand quantity, structure, plantation ability, (i.e. seedbed exists plant energy consumption average value The initial value of average energy consumption coefficient in each production cycle) etc.;
Environmental data includes each workshop condition factor in plant factor, and described envirment factor includes illumination, temperature, sky PH value, dissolved oxygen, nutrient rich data etc. in gas and water;
Creation data includes the data of cultivated plant Basic Mechanism data, job scheduling, work condition inspection and remote service etc.;
The market supply and demand situation of cost price and finished product plant of the marketing data including the production means of agricultural production, raw material, seed etc., The data such as price fluctuation.
Basic energy consumption cost data (including the Initial Energy of plant factor can be obtained according to above-mentioned production and operation database Cost and Initial Energy coefficient) and product market price and demand data (i.e. Supply Chain Model).
The production cycle of the present invention can be set according to specific planting situation.
Described plant production process simulator utilizes default plant growth mechanism model library and growing environment control mould Type storehouse emulates the mechanism characteristic of plant under different production decisions;
Described plant growth mechanism model library includes at least one plant growth mechanism model;
Described growing environment Controlling model storehouse includes at least one growing environment Controlling model (i.e. environmental simulation model).
When being emulated to initial production scheme, corresponding plant growth mechanism model and life are called according to initial production scheme Long environmental Kuznets Curves model, which is calculated, can obtain simulation result.Compare the growth of the plant under different production decisions by simulation analysis Situation and characteristic, is that plant factor's Production Scheduling and optimisation strategy provide simulating, verifying.
The production plan module, which exports optimal production decision, includes the production schedules of corresponding production cycle implants Scheme and corresponding environmental Kuznets Curves set-point.
The production plan module (i.e. optimal production decision) of the integrated working condition of the present invention is actually integrated with plant life Long environmental model, energy consumption cost and Supply Chain Model.Assuming that in the production schedule cycle (i.e. production cycle) different plants valency Lattice and supply/demand are, it is known that plant a variety of different plants, using maximization of economic benefit as object function in a production cycle Set up model.
Pass through preferably, formulating optimal production decision in raw materials market supply constraint, the constraint of the product market demand and seedling Following object function is solved under the constraints of the plantation amount constraint of bed to obtain:
Wherein, PkFor full factory's profit of k-th of production cycle,
For the demand of i-th kind of plant in k-th of production cycle,
For the selling price of i-th kind of plant in k-th of production cycle,
For the amount of purchase of n raw material in k-th of production cycle,
For the procurement price of n raw material in k-th of production cycle,
Seedbed output of u-th of seedbed in m kind production decisions in k-th of production cycle;
W is average energy consumption coefficient (i.e. coefficient of energy dissipation) of the seedbed within each production cycle, when calculating usually as normal Number processing.
Coefficient of energy dissipation and energy consumption cost can be derived mutually, i.e., it is known wherein any one, you can extrapolate another. The initial value (i.e. Initial Energy coefficient) for obtaining W can be calculated in the present invention from production and operation database.
Wherein, described raw materials market supply constraint is as follows:
Wherein,For the lower limit of the amount of purchase of n raw material,For the upper limit of the amount of purchase of n raw material.
Described product market demand constraint is as follows:
Wherein,For the lower limit of the demand of i-th kind of plant,For the upper limit of the demand of i-th kind of plant.Usual i =1,2 ... ..., I, I are floristics number, depending on practical situations.K is promoted and incremented by successively over time, in principle No maximum.
The plantation amount constraint in described seedbed:
U-th of seedbed m kind production decisions seedbed output lower limit,U-th of seedbed is in m kind producers The seedbed output upper limit of case.
Initial Energy coefficient and the above each constraints can be obtained according to production and operation database in the present invention (can directly obtain or data in production and operation database are calculated and are derived by), and coefficient of energy dissipation and energy consumption cost can be with Mutually derive, i.e., known to wherein any one, you can extrapolate another.
Information gathering and environment control unit in the present invention include the environment such as temperature, humidity, illumination, gas concentration lwevel The information gathering and control of the factor, are related to illumination in plant factor, temperature, humidity, acid-base value, CO2Deng professional sensor, and The nonshared control units such as spray, roller shutter, LED illumination control.
Preferably, carrying illumination control subsystem in described information collection and environment control unit.Including illumination formula And corresponding control device.By setting up illumination formula, according to the growth needs of different plant different periods, controlling party is determined Case, reaches optimum efficiency.
Preferably, the illumination control subsystem controlling element includes photosynthetic effective light quantum current density, periodicity of illumination And spatial distribution.
Preferably, the illumination control subsystem includes following several illumination control devices:
Different light source types:Such as common sodium vapor lamp mercury lamp and incandescent lamp, fluorescent lamp, LED, and some are special Light source (such as far infrared and UV).
Different light application times:By controlling the enabling time of light source to control illumination.
Different intensities of illumination or quantity such as voltage x current or LED quantity etc..
Different spectrum ratios:It is different by adjusting in the case of using a variety of variety classes wavelength light sources at the same time Light source light ratio change spectral component, illumination is controlled.
Different light source position distributions and the setting of light barrier.
Different luminous ranges:Also useful mobile light source changes the method for light source and plant distance to control illumination.
Preferably, carrying temperature control subsystem in described information collection and environment control unit.Temperature to crop (i.e. Plant) grow, yield, qualitative effects greatly, temperature controlled purpose be maintain crop growth and development process dynamic Thermophilic.Temperature control means include thermal source, heating agent pipeline and radiator etc..
Preferably, the thermal source has fossil fuel (coal, oil, natural gas), electricity, waste heat and underground heat etc..
Preferably, plant factor uses hot-water heating system central heating.Hot-water heating system is by hot-water boiler, heat supply Pipeline and radiator etc. are constituted.
Preferably, (being supplied, return water temperature is respectively 95 DEG C and 70 DEG C) using low-temperature hot-water heating.Radiator is arranged in work Nitride layer is nearby or under cultivation bed.Radiator is evenly arranged to obtain the Temperature Distribution of cause indoors.
Preferably, plant factor excludes indoor unnecessary heat and unnecessary steam using compound ventilation air-changing device, with Adjusting air humidity, supplement CO2Deng.
Preferably, draft type has two kinds of gravity-flow ventilation and forced ventilation.Gravity-flow ventilation is caused using indoor/outdoor temperature-difference The blast that hot pressing or natural wind are caused promotes air flow, and forced ventilation is then to cause room by blower fan mechanical rotary power Inner air and outer air pressure differential, realizes the flowing that indoor and outdoor air is asked.
Preferably, during summer high temperature, plant factor is using covering material, the cooling of the blower fan of wet curtain one, the blower fan of mist one drop The methods such as temperature cool.
Preferably, carrying humid control subsystem in institute's information gathering and environment control unit.Humid control includes adding Wet and dehumidifying two aspects of wet down.Humidification means have the methods such as spraying humidification, pad and fan cooling system humidification and man-made irrigation.
Preferably, carrying nutrient solution control subsystem in described information collection and environment control unit.Including nutrient solution The circulatory system, operation control system and UV disinfection system.
Preferably, nutrition fluid circulation is by cultivation bed, nutrition liquid pool, industrial piping system, reflux line system, automatic Fertigation machine is constituted.Cultivation bed is used to hold nutrient solution, and nutrition and moisture are provided to crop.Nutrition liquid pool is storage and supply The solution cultivated in the container of bed nutrient solution, mother liquor tank, sour tank, alkali tank and clean water tank flows down into nutrition in the control of electromagnetic valve Liquid pool.Feed liquid pipeline system will be made for thing demand in the first bed to cultivation of nutrient solution circle in liquid storage tank, it mainly by feed liquid pipeline, The part such as valve of flow is adjusted to constitute;It is main and reflux line system is that the nutrient solution cultivated in bed is back in liquid storage tank Will be including parts such as the refluxes in reflux line and cultivation bed.
Preferably, automatic irrigation fertilizer applicator is connected with feed liquid pipeline system, and the automatic mixing for nutrient solution is mixed and passed Feed liquid pipeline system is defeated by, it mainly includes also including Electronic control on a set of Venturi type fertilizer pump, fertilizer pump installation simultaneously Fertilizer valve, fertilizer flow regulator, polyethylene assembly parts;One special electric water pump, for maintaining literary mound by bypass pipe In differential water pressures necessary to fertilizer pump operation.
Preferably, liquid storage tank is located at below ground, to allow the nutrient solution that flows out in cultivation bed to be back in liquid storage tank.Storage The need for liquid pool volume should ensure that the enough water supply of plant and circulate.Feed liquid pipeline refers to from underground liquid storage tank via water pump Then lead to each cultivation bed.
Preferably, all pipelines are both needed to use plastic tube, prevent nutrient solution corrosion pipeline.
Preferably, carrying CO in described information collection and environment control unit2Control subsystem.According to carbon source kind, CO2Generator is broadly divided into hydrocarbon CO2Generator and CO2Propellant.CO2The control of concentration is main by CO2Steel cylinder, subtract Pressure valve, flowmeter, magnetic valve, for institute's pipeline and CO2Concentration sensor is constituted.
Preferably, CO2Concentration sensor can use infrared non-diffusing type CO2Sensor.
Preferably, CO in control loop2Gas is discharged in air-supply by steel cylinder through pressure reducing constant-current valve, flowmeter, magnetic valve In pipeline, air-supply passageway is finally fed gas into by pressure fan, cultivating stand three-dimensional planting is uniformly sent into by laminar-flow type air outlet Face.
Preferably, CO2Concentration general control is in 1000~1500mL/L, and specific concentration is depending on different plants.
Preferably, only CO is started under illumination opening2Gas control system, so can both meet photophase Plant Light Cooperation is with to CO2Demand, while discharging CO when being unlikely to cause the dark phase2The loss of gas.
Preferably, the plant growth mechanism model library is suitable for the vegetable crop aerial fog cultivation nutrient solution such as romaine lettuce in screening On the basis of formula, temperature, illumination, humidity and carbon dioxide setting value etc., different light intensity, light quality, a variety of nutrient densities are studied Mutually make to vegetable growth, yield, nutritional quality influence, obtain optimization plant growth curve model.
Preferably, the growing environment Controlling model storehouse is set up by building greenhouse stable state or mechanism dynamic model Environmental energy is balanced and mass balance equation, studies the shadow to envirment factor in plant factor under various envirment factor control actions The mode of sound and influence degree.
Preferably, with greenhouse power consumption balance model, greenhouse consumption in the growing environment Controlling model storehouse Energy balance model is using the ambient parameter inside and outside greenhouse as input, to ventilation parameters subsystem, temperature regulating subsystem, Illumination adjusting Subsystem and humidity regulation subsystem send control signal.Model equation is as follows:
Δ Q=Qrad+Qheat+Qvent+Qcac+Qcrad+Qsoil+Qleaf-Qcool-Qtran-Qp-Qs
In formula:Δ Q is the sensible heat increment of inside greenhouse air, and unit is W;
Wherein,
V:The volume in inside greenhouse space, unit is m3
ρ:The density of inside greenhouse air, unit is kg/m3
cp:The specific heat of inside greenhouse air, unit is J/ (kgK);
Tai:The temperature of inside greenhouse air, unit is K;
Qrad:Solar irradiation emittance, unit is W;
Qrad=ARn
Wherein,
A:Greenhouse surface area, unit is m2
Rn:Sunlight heat radiant energy density, unit is Wm-2
Qheat:Heat energy (is ignored) when not heating, and unit is W;
Qvent:Ventilation heat-exchange power, unit is W;
Qvent=ρ cp(Tao-Tai)VR
Wherein,
ρ:The density of inside greenhouse air, unit is kg/m3
cp:The specific heat of inside greenhouse air, unit is J/ (kgK);
V:For the effective draught area (m of vent window2);
R:Ventilation rate coefficient, unit is ms-1
Tao:Temperature outside greenhouse, unit is K;
Tai:The temperature of inside greenhouse, unit is K;
Qcac:With extraneous heat transfer energy, unit is W;
Qcac=qi*Ac=hciAc(Tao-Tai)
Wherein,
qi:Heat flow density, unit is wm-2
hci:The thermal conductivity factor of air, unit is wm-1k-1
Ac:Green-house cover area, unit is m2
Tao:Temperature outside greenhouse, unit is K;
Tai:The temperature of inside greenhouse, unit is K;
Qcrad:Long-wave radiation energy, unit is W, and water planting greenhouse is ignored;
Qsoil:With heat exchange in soil energy, unit is W;Ignore in water planting greenhouse;
Qleaf:Inside greenhouse air and the heat transfer energy on crop blade face, unit is W;
Qleaf=2Aphp(Tp-Tai)
Wherein,
Ap:The gross area of crop leaf;
hp:The thermal conductivity factor of blade, unit is wm-1k-1
Tp:The temperature of plant leaf blade, unit is K;
Tai:The temperature of inside greenhouse, unit is K;
Qcool:The energy taken away with hot cell, unit is W;
Qtran:Energy required for Crop transpirstion, unit is W;
Qtran=H*mtr
Wherein,
H:Heat of evaporation;
mtr:Transpiration rate;
Qp:Energy (ignoring) needed for crop photosynthesis;
Qs:The heat dissipation capacity on greenhouse periphery, unit is W, for volume it is larger, around have the connected greenhouse in other greenhouses again, This can be neglected;
In summary, can obtain greenhouse power consumption equilibrium equation is:
Preferably, chamber humidity simulation model is carried in the growing environment Controlling model storehouse.Assuming that warm indoor temperature and humidity Distribution is hooked, and the distribution of crop canopies humiture is hooked, then can set up the chamber humidity Dynamic Mechanism balanced based on vapor Model:
E=Et+Ep+Ed+Es-Er-El-Ef-Eleak
Wherein,
E is water vapour content in greenhouse;
EtThe water vapour content produced is acted on for Fuzzy Transpiration;
EpThe water vapour content produced is evaporated for wetting shade in greenhouse;
EdThe water vapour content produced is sprayed for greenhouse;
EsThe water vapour content produced is evaporated for greenhouse soil;
ErCovered and the water condensation on guardrail for greenhouse;
ElThe water vapour content produced for providing ventilation;
EfThe water vapour content produced for blower ventilation;
EleakTo cover the moisture leakage with guardrail gap by greenhouse.
Because the inside in plant factor is using cement as ground, crop-planting is positioned on cultivation bed, therefore in flowerpot Soil water evaporation is less, can approximately ignore (Es=0).
When opening blower fan progress interior forced ventilation, the ventilation vapor that compares is leaked by the moisture in gap in greenhouse Exchange smaller, can also ignore.(Eleak=0).
Simultaneously, it is assumed that covering material is different in greenhouse influences smaller to warm indoor humidity, is equivalent to same material (Er =0).
Acquiescence only has wet curtain humidification, then Ed=0.
Now expression formula can be reduced to:
E=Et+Ep-Er-El-Ef
Preferably, plant factor's energy consumption is divided into fixed energy consumption and variable energy consumption by the energy consumption control module, shadow is analyzed The key factor of its energy consumption is rung, plant factor's multimedium energy consumption model is set up.Energy consumption cost is introduced in the production schedule, and it is right Coefficient of energy dissipation carries out feedback modifiers so that the production schedule accurate can estimate multimedium energy consumption cost, calculates and controls dimension The actual consumption load needed for greenhouse specific environment is held, guidance is provided for plant factor's design, production, development and environment conditioning Foundation.
The multimedium energy consumption model of plant factor is as follows:
Wherein,
C is energy medium set;
P is mechanism feature collection;
U gathers for seedbed;
Eu,cFor demands of the seedbed u to energy medium c;
FuFor seedbed u cultivation amount;
PPu,pFor the mechanism characteristic of cultivated plant on the u of seedbed;
OPuFor seedbed u Plant plane (process route, operation level etc.);
CDu,cIt is that constant (takes according to practical application scene for the seedbed u energy medium c consumed fixation public work Value);
αu,cFor seedbed u cultivation quantity to energy medium c coefficient of energy dissipation;
βu,c,pFor cultivated plant on the u of seedbed mechanism characteristic p to energy medium c coefficient of energy dissipation;
θu,cFor seedbed u Plant plane to energy medium c coefficient of energy dissipation.
The variable that the multimedium energy consumption model is included has:Bed planting amount, floristics and characteristic and seedbed were produced The technological parameter of journey, considers the public work of each medium energy in fixed energy consumption.Operation process is planted for plant factor, is entered The necessary process route of row is preferred, process parameter optimizing can play good energy-saving effect.In addition, in the operation of seedbed device After condition is given, the height of plant factor's environmental factor dynamic control level can also influence the actual consumption of device.Plantation side Case can not only be impacted to system energy consumption, and energy consumption index can be also acted on Optimizing manufacture Constrained, further influenced whether The selection of Plant plane and the optimization of operating condition.
In the multimedium energy consumption model of crop production plan, introduce different seedbeds and be based on different Cultural plan (plantation sides Case) under multimedium coefficient of energy dissipation, it is necessary to by the amendment of seedbed actual energy consumption value, can just accurately reflect the change of energy consumption, because This needs to carry out feedback modifiers using the multimedium energy consumption model based on multi-state, can just obtain appropriate parameter value.
Present invention also offers a kind of plant factor's integrated control method, according to the default production cycle according to production and operation Database is up to principle formation initial production scheme with economic benefit, and according to the mechanism characteristic of plant under initial production scheme Initial production scheme is modified with actual consumption cost, the optimal production decision of economic benefit highest is obtained.
Initial production scheme is modified and proceeded as follows:
Step 1, the actual consumption cost for obtaining plant factor is calculated according to initial production scheme;
Step 2, the actual consumption cost and first energy consumption cost of plant factor are compared:
If difference therebetween is less than threshold value, using initial production scheme as optimal production decision;
Otherwise, it is with the Initial Energy cost after currently practical energy consumption cost, and utilization renewal to update Initial Energy cost Calculate average energy consumption coefficient of the seedbed within each production cycle and solve as the given initial value of coefficient of energy dissipation and obtain new It is initially generated return to step 1 after scheme.
In this method under initial production scheme the mechanism characteristic of plant pass through it is imitative to initial production scheme plant production process Really obtain, the actual consumption cost under initial production scheme is calculated using multimedium energy consumption model and obtained.
The present invention's formulates production decision according to different crop species, the plant factor set up based on process simulation software Control System Imitation model, verifies the accessibility of production planning optimization result, and production is fed back by process simulation Amendment so that the formulation process of the production schedule not only considered crop mechanism and take into account plant factor's actual production process technique want Ask so that Production Scheduling has bigger practice significance.According to the plant factor's operation and life emulated based on plant production The integrated optimization method of plan is produced, the solution for seeking plant factor's integrated optimization is given, the production schedule and plant is realized The integrated optimization of thing process of factory production operation.
Brief description of the drawings
Fig. 1 is plant factor's integrated control system composition schematic diagram of the present invention;
Fig. 2 is plant factor's integrated control method route map of the present invention;
Fig. 3 is the feedback modifiers strategy principle schematic of the present embodiment.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.
As shown in figure 1, plant factor's integrated control system of the present embodiment, including:
Production and operation database, mainly includes the information such as the product market demand and Initial Energy cost, is specifically divided into:Plant Several classes such as the basic data in terms of the resource data of factory, environmental data, creation data, marketing data, wherein:
Resource data includes plant factor's cultivating stand quantity, structure, plantation ability, plant energy consumption average value (coefficient of energy dissipation Initial value) etc.;
Environmental data includes pH value, dissolved oxygen, nutrient rich in each workshop condition factor such as illumination, temperature, empty gas and water Data;
Creation data includes the data of raise crop Basic Mechanism data, job scheduling, work condition inspection and remote service etc.;
The market supply and demand situation of cost price and finished product crop of the marketing data including the production means of agricultural production, raw material, seed etc., The data such as price fluctuation.
Plant production process simulator, compares in different production decisions (i.e. crop according to real-time growing environment simulation analysis Plant plane) under plant growing state (mechanism characteristic), and exported as feedback modifiers information to the work of integrated working condition Industry schedule module;
Plant production process simulator is preset with as growth mechanism model library (i.e. plant growth mechanism model library) and life Long environmental Kuznets Curves model library (i.e. environmental Kuznets Curves model library), plant growth mechanism model library includes at least one plant growth mechanism Model;Growing environment Controlling model storehouse includes at least one growing environment Controlling model.
Plant growth mechanism model library screening be suitable for the vegetable crop aerial fog cultivation such as romaine lettuce nutrient solution prescription, temperature, On the basis of illumination, humidity and carbon dioxide setting value etc., study different light intensity, light quality, a variety of nutrient densities and mutually make to vegetables Growth, yield, the influence of nutritional quality, obtain the plant growth curve model of optimization.Growing environment Controlling model storehouse passes through structure Greenhouse stable state or mechanism dynamic model are built, environmental energy balance and mass balance equation is set up, studies various envirment factors To the influence mode and influence degree of envirment factor in plant factor under control action.
The production plan module of integrated working condition, according to the default production cycle according to production and operation database with economy It is most effective for principle formation initial production scheme, and mechanism characteristic according to plant under initial production scheme and plant factor Actual consumption cost is modified obtained optimal production decision to initial production scheme;
The optimal production decision of the production plan module output of the present embodiment is actually for crop different growth phases The Plant plane of customization.
The production plan module of integrated working condition is integrated with crop growth environment model, energy consumption cost and supply chain mould Type, the cycle of the production schedule can be set according to specific planting situation.Assuming that different plants in the production schedule cycle Price and supply/demand are, it is known that the interior a variety of different plants of plantation of a cycle, build by object function of maximization of economic benefit Formwork erection type, and solution obtains optimal production decision.
Optimal production decision is formulated in the present embodiment to pass through in raw materials market supply constraint, the constraint of the product market demand and seedling Following object function is solved under the constraints of the plantation amount constraint of bed to obtain:
Wherein, PkFor full factory's profit of k-th of production cycle,
For the demand of i-th kind of plant in k-th of production cycle,
For the selling price of i-th kind of plant in k-th of production cycle,
For the amount of purchase of n raw material in k-th of production cycle,
For the procurement price of n raw material in k-th of production cycle,
Seedbed output of u-th of seedbed in m kind production decisions in k-th of production cycle;
W is average energy consumption cost coefficient of the device (i.e. seedbed) within each cycle.
Wherein, raw materials market supply constraint is as follows:
Wherein,For the lower limit of the amount of purchase of n raw material,For the upper limit of the amount of purchase of n raw material.
The constraint of the product market demand is as follows:
Wherein,For the lower limit of the demand of i-th kind of plant,For the upper limit of the demand of i-th kind of plant.
The plantation amount constraint in seedbed:
U-th of seedbed m kind production decisions seedbed output lower limit,U-th of seedbed is produced in m kinds The seedbed output upper limit of scheme.
Plant production process simulator, it is special according to the mechanism that real-time growing environment emulates the plant under initial production scheme Property, and feedback is made for industry schedule module for amendment initial production scheme;
Plant production process simulator is imitative using default plant growth mechanism model library and growing environment Controlling model storehouse The mechanism characteristic of the plant of very different production decisions, wherein, plant growth mechanism model library includes at least one plant growth Mechanism model;Growing environment Controlling model storehouse includes at least one growing environment Controlling model.Compared by simulation analysis not It is that plant factor's Production Scheduling and optimisation strategy provide simulating, verifying with the growing state feature of plant under production decision.
Energy consumption control module, using multimedium energy consumption model calculate initial production scheme under plant factor actual consumption into This, and production plan module is fed back to for amendment initial production scheme;
The energy consumption control module of the present embodiment includes the energy consumption model of involved water, electricity, steam, fuel etc., by plant Plant energy consumption is divided into fixed energy consumption and variable energy consumption, and the key factor of its energy consumption of analyzing influence sets up plant factor's multimedium energy Consume model.Energy consumption cost model is introduced in the production schedule, and feedback modifiers are carried out to the parameter of energy consumption cost model so that The production schedule accurate can estimate multimedium energy consumption cost, calculate and control the energy consumption needed for maintaining greenhouse specific environment to bear Lotus, provides for plant factor's design, production, development and environment conditioning and instructs foundation.
The multimedium energy consumption model of the present embodiment is as follows:
Wherein,
C is energy medium set;
P is mechanism feature collection;
U gathers for seedbed;
Eu,cFor demands of the seedbed u to energy medium c;
FuFor seedbed u cultivation amount;
PPu,pFor the mechanism characteristic of cultivated plant on the u of seedbed;
OPuFor seedbed u Plant plane (process route, operation level etc.);
CDu,cIt is constant for the seedbed u energy medium c consumed fixation public work;
αu,cFor seedbed u cultivation quantity to energy medium c coefficient of energy dissipation;
βu,c,pFor cultivated plant on the u of seedbed mechanism characteristic p to energy medium c coefficient of energy dissipation;
θu,cFor seedbed u Plant plane to energy medium c coefficient of energy dissipation.
Information gathering and environmental control module, for the real-time growing environment of herborization, and according to integrated working condition Production plan module output production decision control plant growing environment.
Adjusted as shown in Fig. 2 the greenhouse environment information collection of the present embodiment and control unit include thermostat unit, humidity Unit, Illumination adjusting unit, carbon dioxide adjustment unit, nutrient solution control unit, security monitoring unit and outdoor weather station are saved, Control unit receives the signal of weather station, while coordinating these subsystems;
Thermostat unit includes the first temperature sensor, hot-water heating system, air-conditioner set and vaporising device, and control is single The inside greenhouse temperature signal that member is gathered according to the first temperature sensor controls hot-water heating system and air-conditioner set.
Air-conditioner set and vaporising device as with the hot water heat exchange in hot cell and heat collection water tank or directly by pipeline with Heat collection water tank is connected.
When the temperature of inside plants is higher than design temperature, the hot water in heat collection water tank is empty to air-conditioner set hot-water supply Unit refrigeration is adjusted, when inside greenhouse humidity is less than setting humidity (setting humidity is set according to crop species and growth cycle), Heat collection water tank supplies water to vaporising device, for increasing inside greenhouse air humidity.
Humidity adjustment unit includes the first humidity sensor, spray equipment and vaporising device;Control unit is wet according to first Spend the inside greenhouse moisture signal control spray equipment and vaporising device of sensor collection;
Ventilation regulation unit includes the first ventilation sensor and ventilation unit;Control unit is adopted according to the first ventilation sensor The inside greenhouse wind speed and direction signal control ventilation unit of collection.
Ventilation unit includes the blower fan being arranged in greenhouse and the automatic window for being arranged on side wall and/or ceiling position, wind Machine and automatic window are controlled by control unit.
Automatic window is arranged on the side wall or ceiling in greenhouse, also can side wall and ceiling be respectively provided with automatic window, control unit according to According to the ventilation information collected in the ventilation sensor of inside greenhouse first and weather station, the opening and closing of automatic window are controlled, To control the ventilation of inside greenhouse.
Illumination adjusting unit includes the first optical sensor, light source and solar protection devices, and control unit is passed according to the first illumination The inside greenhouse light intensity signal of sensor collection, sets up the illumination formula according to different plant different periods, determines control program, controls Light source and solar protection devices processed.
Solar protection devices is shading curtain and controls the motor of shading curtain opening and closing, and it is single that motor is controlled by control Member.Shading curtain is used to block ambient, luminance signal and the first optical sensor that control unit is gathered according to weather station The indoor illumination signal of collection, the opening and closing of control shading curtain, so as to adjust the illumination of inside greenhouse.
CO2Control unit includes the first CO2Sensor, CO2Gas source generator, control unit is according to the first CO2Sensor The inside greenhouse CO of collection2Concentration signal, according to the CO of different plant different periods2Demand concentration formula, determines control program, Control CO2Source of the gas and ventilation unit.
Nutrient solution adjustment unit includes the first nutrient sensor, nutrition fluid circulation and UV disinfection system. The nutrition liquid pool inside nutrient that control unit is gathered according to the first nutrient sensor, according to different plant different periods Nutritional need formula, determine control program, control nutrient solution feeding system and nutrition fluid circulation.
Operation control system is controlled the nutrition-allocated proportion of current and each valve by software program.Whole system is by software, firmly Part, transmission equipment, sensor, environmental Kuznets Curves, irrigation control and nutritional control composition.The system accurately controls water by fertilizing pump With the ratio of solution, to realize the purpose of accurate control concentration of fertilizer.Its operation principle is:Controller is by gathering electronic water meter Whether signal of change water flow, the current for judging reality by program reach set amount, when duty reaches setting value Magnetic valve is just automatically cut off, duty is automatically controlled so as to realize.Receptacle is provided with liquid level sensor, by measuring water level The change of resistance carrys out automatic sensed water level.When fertilizer is used up, resistance value will be very big, and sensor detects change in resistance signal After send controller to, controller driving alarm sends alarm sound, and cuts off the magnetic valve of water inlet, and fertilizer applicator stops automatically Only work.
In order to control inside greenhouse microenvironment is unbalance to cause to be additionally provided with security monitoring in irreversible damage, greenhouse to crop Device, safety monitoring device is controlled by control unit.When the inside greenhouse ambient parameter over-limit condition (pole that crop can bear Each ambient parameter value under end ring border) after, safety monitoring device sends alarm signal, artificial change in time required for control.
Weather station is used to collect the information such as greenhouse external temperature, humidity, wind direction, wind speed, solar radiation and rainfall, can adopt With the special small-sized weather station of agricultural production.Including the second ventilation sensor for gathering greenhouse external environment condition parameter, second Temperature sensor, the second optical sensor, the second humidity sensor and rain sensor.
Weather station is using the special small outdoor weather station of agricultural production, and second temperature sensor is shielded, solar radiation Do not influence second temperature sensor.Rain sensor is placed in unblanketed place, in order to avoid the measurement of influence solar radiation.
Second ventilation sensor of weather station, second temperature sensor, the second optical sensor, the second humidity sensor and Rain sensor, for gathering greenhouse external environment condition parameter, according to these ambient parameters, by control unit, is controlled in greenhouse Portion's ambient parameter, forms the micro climate for being adapted to plant growth.
First temperature sensor and second temperature sensor:Precision:+ 1%, scope is at 0~50 degree.
First humidity sensor and the second humidity sensor:Precision+3%RH (relative humidity), scope 10~100%.
First optical sensor and the second optical sensor:Precision+8%, scope is in 0~100,000 LUX.
Control unit collects weather station and indoor and outdoor temperature, humidity, ventilation, illumination and nutrient solution signal, feeding life Database is produced, is calculated by the optimization of plant factor's integrated control system, provides the producer customized for crop different phase Case, controls corresponding air-conditioner set, spray equipment, vaporising device, ventilation unit, light source and solar protection devices, nutrient solution circulation System etc., adjusts the micro climate and nutrient solution prescription of inside greenhouse, to adapt to the plantation demand of Different Crop.
Can also be by artificially inputting corresponding ambient parameter (such as temperature, humidity), the input to control unit is believed Number adjust, the reasonability of increase control unit work.
The inventive method is by building stable state or dynamic plant growth mechanism model and plant factor's energy balance and matter Equilibrium equation is measured, the environment conditioning algorithm of integrated energy optimization is set up, provides the optimal Plant plane of plant factor's plant growth, Reach the effect of energy efficiency.Theoretical direction is provided for plant factor's design, production, development and environment conditioning.
Plant factor's integrated control system hardware components of the present embodiment use Siemens S7-300 series of PLC modules, institute There is input/output interface circuit to use Phototube Coupling, make circuit inside greenhouse external circuit and PLC electrically realize every From with complete monitoring and diagnostic function, once abnormal conditions occur for power supply or other soft and hardwares, CPU takes effectively immediately Measure, prevents failure propagation, in emergency situations, can control manually.Liquid crystal display and touch-screen are supported the use, makes man-machine boundary Face is substantially improved.
Plant factor's integrated control system software section of the present embodiment uses expert analyzing system, and basic database passes through Receive outside raw information (resource, environment, production, marketing etc.), and internal reservoir a large amount of professional standards, crop mechanism mould Type (i.e. plant growth mechanism model), growing environment Controlling model, the multimedium energy consumption model of each process units, average energy consumption system Several initial value (i.e. Initial Energy coefficient) etc., calculating is optimized to each initial parameter, is that different crops are formulated specifically Production operation scheme, while corresponding environmental control parameters to be issued to the executing agency of field control unit.Realize production Plan and the integrated optimization of plant factor's production process operation, concrete function have:
1) information monitoring of sensor:Various sensor informations are gathered, and are shown in real time on screen, are easy to observation.
2) greenhouse facilities control module:Each corresponding environment adjusting device can be controlled by modules, such as it is warm Each magnetic valve, wet curtain, blower fan in room environmental regulating system etc.., can be using control manually according to the control mode of setting Make (device to be controlled is directly clicked on from screen), automatically control both of which.And different equipment can also individually be set Surely different control strategies is used.
3) industrial process simulation module:The environmental working condition condition that the production schedules scheme assigned according to system is provided, Send into plant mechanism model storehouse, simulating plant production process.Compare the machine of the plant under different production decisions by simulation analysis Characteristic is managed, is that plant factor's Production Scheduling and optimisation strategy provide simulating, verifying.
4) energy consumption control module:By setting up the multimedium energy consumption model of each process units of plant factor, in the production schedule Middle introducing multimedium energy consumption model result of calculation, and feedback modifiers are carried out to coefficient of energy dissipation so that the production schedule can be calibrated True estimation multimedium energy consumption cost, calculates and controls to maintain the energy consumption load needed for greenhouse specific environment, be that plant factor sets Meter, production, development and environment conditioning, which are provided, instructs foundation.
5) production schedules module:Crop growth environment model, energy consumption cost and Supply Chain Model are integrated with, is produced The cycle of plan can be set according to specific planting situation.The production for providing a certain plant in the specific production cycle is made Industry plans and corresponding environmental Kuznets Curves set-point.
6) warning function:Too high or too low absolute value alarm (such as temperature, humidity);Too high or too low leafing value Form alarm (such as heating setting);Conditional interconnection system alarms (such as greenhouse internal and external temperature compares);Variant value setting form Alarm (such as control device).All warning functions can set their priority level, and can be set when there is alarm Fixed related equipment ceases to be in force automatically a period of time, whole system is had certain security.
7) data recordin module:The module can complete to download stored various data, existing biography from controller Sensor data, the status data for also having various control devices, and screen can be shown by way of figure or form On curtain, be conducive to user's observation, analyze data.Data can be preserved into general text formatting simultaneously, it is soft using other Part carrys out analyze data.
8) event recording function:Can preserve the record of equipment operation, or other any events record, these notes Record can provide number of operations and state of user's understanding to the equipment;So as to be carried out correctly to the M R of equipment Judge.For example:Motor belt abrasion and the damage of electric fan motor are may determine that, consumption of the energy etc. can be calculated.
8) screen display project settings:User can the project that shows of oneself setting screen, such as various sensors Information, the state of equipment, or some pictures, can allow the situation in the more open-and-shut understanding greenhouse of user.
Plant factor's integrated control system concrete operation step of the present embodiment is as follows:
1) light source is started, simulated solar irradiation reaches after setting intensity of illumination that control unit starts shading curtain expansion, light source Intensity decreases;
2) control unit starts thermal source and uses hot cell, by temperature stabilization control in preliminary set time;
3) spray equipment simulated precipitation is started, control unit control automatic window is closed;
4) spray equipment simulation irrigation and fertilising;
5) control unit starts air-conditioner set cooling;
6) after inside greenhouse ambient parameter is stable, sensing data is gathered;
7) crop cycle is set in production plan module, production plan optimization is carried out and calculates analysis, provide Plant plane Instruct initial value;
8) the Plant plane instruction initial value that production plan module is provided is issued to production process simulator, carries out simulation imitative Very, the accessibility of instruction is verified, and feeds back simulation modification result and gives production plan module;
9) at the same production plan module provide Plant plane instruction initial value be issued to energy consumption control module, to energy consumption into The parameter of this model carries out feedback modifiers so that the production schedule accurate can estimate multimedium energy consumption cost, and feed back imitative True correction result gives production plan module;
10) production plan module synthesis 8, the result of 9 steps feedback, re-start optimization analysis and calculate, and assign actual kind Plant plan command and corresponding control unit set-point;To the executing agency of each control unit, the plant under regulation and control is optimized Thing production operation.
When plant factor's integrated control system based on the present embodiment is controlled to plant factor:According to default production Cycle is up to principle formation initial production scheme with economic benefit according to production and operation database, and according to initial production scheme The mechanism characteristic and actual consumption cost of lower plant are modified to initial production scheme, are obtained economic benefit highest and are most preferably given birth to Production scheme.
Initial production scheme is modified and carried out according to following strategy:
Multimedium energy consumption model is solved according to optimal production decision, the current energy consumption value of plant factor is obtained, then Calculating is obtained into current energy consumption with default Initial Energy value to be compared, if the two difference is less than threshold value, without feedback Amendment, otherwise, according to the calculation result data of multimedium energy consumption model, carries out parameter fitting, obtains new parameter value to replace Coefficient of energy dissipation in planting scheme is produced, plan is solved again.Such iteration, until meeting threshold condition, iteration mistake Journey can be terminated.
Plant factor's integrated control method of the present embodiment refers to the feedback modifiers plan of multimedium energy consumption model and the production schedule Slightly.In crop production planning model, comprising different seedbeds based on the coefficient of energy dissipation under different Cultural plans, it is necessary to by seedbed The amendment of actual multimedium energy consumption model, can just accurately reflect the change of energy consumption, it is therefore desirable to utilize many Jie based on multi-state Matter energy consumption model carries out feedback modifiers, can just obtain appropriate parameter value.
As shown in figure 3, being modified realization especially by following steps:
Step 1, the actual consumption cost for obtaining plant factor is calculated according to initial production scheme;
Step 2, the actual consumption cost and first energy consumption cost of plant factor are compared:
If difference therebetween is less than threshold value, using initial production scheme as optimal production decision;
Otherwise, it is with the Initial Energy cost after currently practical energy consumption cost, and utilization renewal to update Initial Energy cost Average energy consumption coefficient of the seedbed within each production cycle is calculated, and new initial production scheme is obtained according to result of calculation solution Return to step 1 afterwards.
Threshold size is set according to practical situations, can be adjusted according to demand.
The Initial Energy cost calculation seedbed after updating is utilized in each production cycle by parameter fitting in the present embodiment Interior average energy consumption coefficient:The energy consumption cost for obtaining each medium for this process units is divided according to actual power consumption values, is calculated Obtain average energy consumption coefficient (i.e. coefficient of energy dissipation W) of the seedbed within each production cycle.
The crop production production plan of this method formulates production decision according to different crop species, based on plant factor's life Simulation software model is produced, the accessibility of production planning optimization result is verified, and production is made by crop production process simulation Industry plan carries out feedback modifiers so that the formulation process of the production schedule had not only considered crop mechanism but also taken into account the actual life of plant factor The operation requirement of production process so that Production Scheduling has bigger practice significance.According to the plant work based on production simulation Factory operates the integrated optimization method with the production schedule, gives the solution for seeking plant factor's integrated optimization, realizes life Production plan and the integrated optimization of plant factor's production process operation.
The present invention is flat by building stable state or dynamic plant growth mechanism model and plant factor's energy balance and quality Weigh equation, set up integrated energy optimization environment conditioning algorithm, provide plant factor's plant growth optimal Plant plane and Corresponding control unit set-point, is that greenhouse control system provides control adjustable strategies, each execution of output control instruction issuing Module (mechanism such as motor, switch), is automatically controlled so as to realize to simulated experiment greenhouse.Reach energy efficiency simultaneously Effect.Theoretical direction is provided for plant factor's design, production, development and environment conditioning.
Technical scheme and beneficial effect are described in detail above-described embodiment, Ying Li Solution is to the foregoing is only presently most preferred embodiment of the invention, is not intended to limit the invention, all principle models in the present invention Interior done any modification, supplement and equivalent substitution etc. are enclosed, be should be included in the scope of the protection.

Claims (7)

1. a kind of plant factor's integrated control system, it is characterised in that including:
Production and operation database, resource data, environmental data, creation data, marketing data comprising plant factor;
The production plan module of integrated working condition, according to the default production cycle according to production and operation database with economic benefit Up to principle formation initial production scheme, and according to the mechanism characteristic and the reality of plant factor of plant under initial production scheme Energy consumption cost is modified obtained optimal production decision to initial production scheme;
The optimal production decision of the production plan module output includes the production schedules side of corresponding production cycle implants Case and corresponding growing environment control set-point;
Plant production process simulator, the mechanism characteristic of the plant under initial production scheme is emulated according to real-time growing environment, and Feedback is made for industry schedule module for amendment initial production scheme;
Described plant production process simulator utilizes default plant growth mechanism model library and growing environment Controlling model storehouse The mechanism characteristic of plant under the different production decision of emulation;
Described plant growth mechanism model library includes at least one plant growth mechanism model;
Described growing environment Controlling model storehouse includes at least one growing environment Controlling model;
Energy consumption control module, the actual consumption cost of plant factor under initial production scheme is calculated using multimedium energy consumption model, And production plan module is fed back to for amendment initial production scheme;
Information gathering and environmental control module, for the real-time growing environment of herborization, and according to the work of integrated working condition The optimal production decision of industry schedule module output controls the growing environment of plant.
2. plant factor's integrated control system as claimed in claim 1, it is characterised in that formed initial production scheme by Following target letter is solved under the constraints of raw materials market supply constraint, the constraint of the product market demand and the plantation amount constraint in seedbed Number is obtained:
<mrow> <msup> <mi>MaxP</mi> <mi>k</mi> </msup> <mo>=</mo> <munder> <mo>&amp;Sigma;</mo> <mi>i</mi> </munder> <msubsup> <mi>D</mi> <mi>i</mi> <mi>k</mi> </msubsup> <mo>*</mo> <msubsup> <mi>s</mi> <mi>i</mi> <mi>k</mi> </msubsup> <mo>-</mo> <munder> <mo>&amp;Sigma;</mo> <mi>n</mi> </munder> <msubsup> <mi>Q</mi> <mi>n</mi> <mi>k</mi> </msubsup> <mo>*</mo> <msubsup> <mi>v</mi> <mi>n</mi> <mi>k</mi> </msubsup> <mo>-</mo> <munder> <mo>&amp;Sigma;</mo> <mi>u</mi> </munder> <munder> <mo>&amp;Sigma;</mo> <mi>m</mi> </munder> <msubsup> <mi>R</mi> <mrow> <mi>u</mi> <mo>,</mo> <mi>m</mi> </mrow> <mi>k</mi> </msubsup> <mo>*</mo> <mi>W</mi> </mrow>
Wherein, PkFor full factory's profit of k-th of production cycle,
For the demand of i-th kind of plant in k-th of production cycle,
For the selling price of i-th kind of plant in k-th of production cycle,
For the amount of purchase of n raw material in k-th of production cycle,
For the procurement price of n raw material in k-th of production cycle,
Seedbed output of u-th of seedbed in m kind production decisions in k-th of production cycle;
W is average energy consumption coefficient of the seedbed within each production cycle.
3. plant factor's integrated control system as claimed in claim 2, it is characterised in that described raw materials market supply constraint It is as follows:
<mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <msubsup> <mi>Q</mi> <mi>n</mi> <mrow> <mi>l</mi> <mi>o</mi> <mi>w</mi> </mrow> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>Q</mi> <mi>n</mi> <mi>k</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>Q</mi> <mi>n</mi> <mrow> <mi>u</mi> <mi>p</mi> </mrow> </msubsup> </mrow> </mtd> <mtd> <mrow> <mo>&amp;ForAll;</mo> <mi>k</mi> <mo>,</mo> <mi>n</mi> <mo>,</mo> </mrow> </mtd> </mtr> </mtable> </mfenced>
Wherein,For the lower limit of the amount of purchase of n raw material,For the upper limit of the amount of purchase of n raw material.
4. plant factor's integrated control system as claimed in claim 2, it is characterised in that described product market demand constraint It is as follows:
<mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <msubsup> <mi>D</mi> <mi>i</mi> <mrow> <mi>l</mi> <mi>o</mi> <mi>w</mi> </mrow> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>D</mi> <mi>i</mi> <mi>k</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>D</mi> <mi>i</mi> <mrow> <mi>u</mi> <mi>p</mi> </mrow> </msubsup> </mrow> </mtd> <mtd> <mrow> <mo>&amp;ForAll;</mo> <mi>i</mi> <mo>,</mo> <mi>k</mi> <mo>,</mo> </mrow> </mtd> </mtr> </mtable> </mfenced>
Wherein,For the lower limit of the demand of i-th kind of plant,For the upper limit of the demand of i-th kind of plant.
5. plant factor's integrated control system as claimed in claim 2, it is characterised in that the plantation amount in described seedbed is about Beam:
<mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <msubsup> <mi>R</mi> <mi>u</mi> <mrow> <mi>l</mi> <mi>o</mi> <mi>w</mi> </mrow> </msubsup> <mo>&amp;le;</mo> <munder> <mo>&amp;Sigma;</mo> <mi>m</mi> </munder> <msubsup> <mi>R</mi> <mrow> <mi>u</mi> <mo>,</mo> <mi>m</mi> </mrow> <mi>k</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>R</mi> <mi>u</mi> <mrow> <mi>u</mi> <mi>p</mi> </mrow> </msubsup> </mrow> </mtd> <mtd> <mrow> <mo>&amp;ForAll;</mo> <mi>u</mi> <mo>&amp;Element;</mo> <mi>U</mi> <mo>,</mo> <mi>k</mi> <mo>,</mo> <mi>m</mi> <mo>,</mo> </mrow> </mtd> </mtr> </mtable> </mfenced>
U-th of seedbed m kind production decisions seedbed output lower limit,U-th of seedbed is in m kind production decisions The seedbed output upper limit.
6. plant factor's integrated control system as described in any one in Claims 1 to 5, it is characterised in that plant factor Multimedium energy consumption model it is as follows:
<mrow> <mtable> <mtr> <mtd> <mrow> <msub> <mi>E</mi> <mrow> <mi>u</mi> <mo>,</mo> <mi>c</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>&amp;alpha;</mi> <mrow> <mi>u</mi> <mo>,</mo> <mi>c</mi> </mrow> </msub> <msub> <mi>F</mi> <mi>u</mi> </msub> <mo>+</mo> <msub> <mi>&amp;beta;</mi> <mrow> <mi>u</mi> <mo>,</mo> <mi>c</mi> <mo>,</mo> <mi>p</mi> </mrow> </msub> <msub> <mi>PP</mi> <mrow> <mi>c</mi> <mo>,</mo> <mi>p</mi> </mrow> </msub> <mo>+</mo> <msub> <mi>&amp;theta;</mi> <mrow> <mi>u</mi> <mo>,</mo> <mi>c</mi> </mrow> </msub> <msub> <mi>OP</mi> <mi>u</mi> </msub> <mo>+</mo> <msub> <mi>CD</mi> <mrow> <mi>u</mi> <mo>,</mo> <mi>c</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>&amp;ForAll;</mo> <mi>c</mi> <mo>&amp;Element;</mo> <mi>C</mi> <mo>,</mo> <mi>p</mi> <mo>&amp;Element;</mo> <mi>P</mi> <mo>,</mo> <mi>u</mi> <mo>&amp;Element;</mo> <mi>U</mi> </mrow> </mtd> </mtr> </mtable> <mo>,</mo> </mrow>
Wherein, C is energy medium set;
P is mechanism feature collection;
U gathers for seedbed;
Eu,cFor demands of the seedbed u to energy medium c;
FuFor seedbed u cultivation amount;
PPu,pFor the mechanism characteristic of cultivated plant on the u of seedbed;
OPuFor seedbed u Plant plane;
CDu,cIt is constant for the seedbed u energy medium c consumed fixation public work;
αu,cFor seedbed u cultivation quantity to energy medium c coefficient of energy dissipation;
βu,c,pFor cultivated plant on the u of seedbed mechanism characteristic p to energy medium c coefficient of energy dissipation;
θu,cFor seedbed u Plant plane to energy medium c coefficient of energy dissipation.
7. a kind of plant factor's integrated control method, it is characterised in that according to the default production cycle according to production and operation data Storehouse is up to principle formation initial production scheme with economic benefit, and according to the mechanism characteristic and reality of plant under initial production scheme Border energy consumption cost is modified to initial production scheme, obtains the optimal production decision of economic benefit highest;
Initial production scheme is modified and proceeded as follows:
Step 1, the actual consumption cost for obtaining plant factor is calculated according to initial production scheme;
Step 2, the actual consumption cost and first energy consumption cost of plant factor are compared:
If difference therebetween is less than threshold value, using initial production scheme as optimal production decision;
Otherwise, it is with the Initial Energy cost calculation after currently practical energy consumption cost, and utilization renewal to update Initial Energy cost Average energy consumption coefficient of the seedbed within each production cycle, and according to result of calculation solve obtain new initial production scheme after return Return step 1.
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