CN117147007B - Facility agriculture low-temperature cold damage forecasting system - Google Patents
Facility agriculture low-temperature cold damage forecasting system Download PDFInfo
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- 230000002595 cold damage Effects 0.000 title claims abstract description 54
- 230000008859 change Effects 0.000 claims abstract description 58
- 239000002689 soil Substances 0.000 claims abstract description 44
- 238000004458 analytical method Methods 0.000 claims abstract description 30
- 238000011156 evaluation Methods 0.000 claims description 62
- 238000012544 monitoring process Methods 0.000 claims description 39
- 208000009084 Cold Injury Diseases 0.000 claims description 33
- 238000001514 detection method Methods 0.000 claims description 32
- 238000000034 method Methods 0.000 claims description 20
- 238000004364 calculation method Methods 0.000 claims description 17
- 230000008569 process Effects 0.000 claims description 17
- 230000007613 environmental effect Effects 0.000 claims description 15
- 230000005855 radiation Effects 0.000 claims description 7
- 235000015097 nutrients Nutrition 0.000 claims description 4
- 238000012271 agricultural production Methods 0.000 abstract description 4
- 230000008901 benefit Effects 0.000 abstract description 4
- 230000006378 damage Effects 0.000 abstract description 4
- 230000007547 defect Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- OYPRJOBELJOOCE-UHFFFAOYSA-N Calcium Chemical compound [Ca] OYPRJOBELJOOCE-UHFFFAOYSA-N 0.000 description 1
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 description 1
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000011575 calcium Substances 0.000 description 1
- 229910052791 calcium Inorganic materials 0.000 description 1
- 238000010835 comparative analysis Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 229910052757 nitrogen Inorganic materials 0.000 description 1
- 229910052698 phosphorus Inorganic materials 0.000 description 1
- 239000011574 phosphorus Substances 0.000 description 1
- 239000011591 potassium Substances 0.000 description 1
- 229910052700 potassium Inorganic materials 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/25—Greenhouse technology, e.g. cooling systems therefor
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Abstract
The invention discloses a facility agriculture low-temperature cold damage prediction system, which relates to the technical field of facility agriculture weather, when the temperature state of a greenhouse to be monitored is in a low-temperature state, the temperature information corresponding to various planting subareas in the greenhouse to be monitored is monitored, the temperature condition and the temperature change condition corresponding to the various planting subareas are analyzed, and the growth stage corresponding to crops in the various planting subareas is analyzed according to the soil information and the environment information corresponding to the various planting subareas in the greenhouse to be monitored, so that the cold damage grade and the regulation and control temperature of the crops in the various planting subareas are analyzed, the intelligent and automatic cold damage prediction, analysis and regulation of the greenhouse are realized, the accuracy of the temperature regulation and control of various subsequent planting areas is ensured, the smooth growth of the crops in the various planting areas is also ensured to a certain extent, the damage of the low-temperature cold damage to the crops is reduced, and the agricultural production benefit is greatly improved.
Description
Technical Field
The invention relates to the technical field of facility agriculture weather, in particular to a facility agriculture low-temperature cold damage forecasting system.
Background
Facility agriculture is a way to produce crops in an indoor or semi-outdoor environment. The greenhouse is one of the common facilities, but the low-temperature weather can cause temperature fluctuation in the facilities to adversely affect the growth and development of the crops, so that the temperature in the greenhouse needs to be monitored and pre-warned correspondingly.
At present, the whole temperature of the greenhouse is mainly monitored when the low-temperature cold damage in the greenhouse is monitored, the crops in different planting areas in the greenhouse are not subjected to targeted analysis, meanwhile, the transverse temperature and the longitudinal temperature of various planting areas in the greenhouse are not subjected to comparative analysis, the temperature distribution in various planting areas cannot be guaranteed, the temperature change condition in various planting areas cannot be shown, the uniformity of different positions and different heights in various planting areas cannot be guaranteed, reliable data cannot be provided for the cold damage grade analysis of various subsequent planting areas, the accuracy of the temperature regulation analysis results of various subsequent planting areas cannot be guaranteed, the growth of crops in various planting areas cannot be influenced to a certain extent, the damage of the low-temperature cold damage to the crops cannot be reduced, and the agricultural production benefit cannot be improved.
Disclosure of Invention
Aiming at the technical defects, the invention aims to provide a facility agriculture low-temperature cold damage forecasting system.
In order to solve the technical problems, the invention adopts the following technical scheme: the invention provides a facility agriculture low-temperature cold damage prediction system, which comprises an air temperature acquisition and judgment module, wherein the air temperature acquisition and judgment module is used for arranging each acquisition time point in a specified period according to a preset time interval, so as to acquire the air temperature corresponding to a greenhouse to be monitored in each acquisition time point, and judge the air temperature state corresponding to the greenhouse to be monitored;
the temperature acquisition module in the greenhouse is used for acquiring temperature information corresponding to various planting subareas in the greenhouse to be monitored in each acquisition time point when the temperature state of the greenhouse to be monitored is in a low temperature state;
the crop influence analysis module is used for acquiring the growth time length corresponding to crops in various planting subareas in the greenhouse to be monitored, acquiring soil information and environment information corresponding to the various planting subareas, analyzing growth state evaluation coefficients corresponding to the crops in the various planting subareas, and judging the cold injury grades corresponding to the crops in the various planting subareas in the greenhouse to be monitored according to the temperature information corresponding to the various planting subareas in the greenhouse to be monitored in each acquisition time point;
the temperature regulation analysis module is used for acquiring proper temperatures of various crops corresponding to various cold injury grades from the database, so as to acquire regulation temperatures corresponding to various plant subareas in the greenhouse to be monitored and perform corresponding regulation;
and the execution terminal is used for executing corresponding operations according to the air temperature state of the greenhouse to be monitored and the cold injury grades corresponding to the crops in the various planting subareas.
Preferably, the judging the air temperature state corresponding to the greenhouse to be monitored comprises the following specific judging process: comparing the air temperature corresponding to the greenhouse to be monitored in each acquisition time point with a preset air temperature threshold, judging that the air temperature state corresponding to the greenhouse to be monitored is in a low temperature state if the air temperature corresponding to the greenhouse to be monitored in a certain acquisition time point is smaller than the preset air temperature threshold, and judging that the air temperature state corresponding to the greenhouse to be monitored is in a normal state if the air temperature corresponding to the greenhouse to be monitored in each acquisition time point is larger than the preset air temperature threshold.
Preferably, the temperature information corresponding to various planting subareas in the greenhouse to be monitored in each collection time point is collected, and the specific collection process is as follows:
arranging each monitoring point at a preset height of each planting subarea according to a preset interval, arranging a temperature sensor at each monitoring point, and further collecting the temperature corresponding to each monitoring point in each planting subarea in the greenhouse to be monitored in each collecting time point;
arranging detection points at preset positions of various planting subregions according to preset height differences, and arranging temperature sensors at the detection points so as to acquire temperatures corresponding to the detection points in various planting subregions in the greenhouse to be monitored at various acquisition time points;
and taking the temperature corresponding to each monitoring point in each planting subarea in the greenhouse to be monitored in each acquisition time point and the temperature corresponding to each detection point as temperature information corresponding to each planting subarea in the greenhouse to be monitored in each acquisition time point.
Preferably, the soil information corresponding to the various planting subregions comprises soil temperature, soil relative humidity, nutrient element content and pH value;
the relative humidity of the air, the air temperature, the total solar radiation and the sunshine hours of the environmental information corresponding to various plant subareas.
Preferably, the analysis of the growth state evaluation coefficients corresponding to the crops in the various planting subregions comprises the following specific analysis processes:
analyzing and obtaining soil influence factors corresponding to various plant subregions according to the soil information corresponding to various plant subregions, and marking the soil influence factors asI represents the numbers corresponding to the various plant subregions, i=1, 2. N;
analyzing and obtaining environmental impact factors corresponding to various plant subregions based on the environmental information corresponding to the various plant subregions, and marking the environmental impact factors as
Substituting the growth time lengths corresponding to the crops in various planting areas into a calculation formulaObtaining the growth state evaluation coefficients corresponding to the crops in various planting subregions>Wherein t is i Representing the length of time of the corresponding growth of the crop in the ith planting subregion,/->For the reference growth time length corresponding to the crop in the ith planting subregion, the +.>Compensation factors for the set growth state evaluation coefficients, < ->、Respectively set soil influence factors and weight factors corresponding to the environmental influence factors.
Preferably, the judging of the grade of the cold injury corresponding to the crops in various planting areas in the greenhouse to be monitored comprises the following specific judging process:
analyzing and obtaining temperature coincidence coefficients and temperature change evaluation coefficients corresponding to various planting subareas in the greenhouse to be monitored based on temperature information corresponding to the various planting subareas in the greenhouse to be monitored in various acquisition time points;
comparing the growth state evaluation coefficients corresponding to the crops in the various planting subregions with preset growth state evaluation coefficient intervals corresponding to the various growth states to obtain growth stages corresponding to the crops in the various planting subregions, and obtaining the allowable temperature coincidence coefficients and the allowable temperature change evaluation coefficients corresponding to the crops in the various planting subregions based on the allowable temperature coincidence coefficients and the allowable temperature change evaluation coefficients corresponding to the growth stages of the crops stored in the database;
and comparing the temperature coincidence coefficient and the temperature change evaluation coefficient corresponding to the various planting areas with the allowable temperature coincidence coefficient and the allowable temperature change evaluation coefficient corresponding to the crops in the various planting subareas respectively to obtain the temperature condition and the temperature change condition corresponding to the various planting areas, and further analyzing and obtaining the cold injury grade corresponding to the crops in the various planting subareas according to the growth stage corresponding to the crops in the various planting areas.
Preferably, the calculation formula of the temperature coincidence coefficients corresponding to the various planting subareas in the greenhouse to be monitored is as follows:wherein->Indicating the temperature coincidence coefficient corresponding to the ith planting subregion,/->、/>Respectively representing the temperatures corresponding to the j-th monitoring point and the f-th monitoring point in the ith planting subregion in the greenhouse to be monitored in the g-th collecting time point, j representing the temperatures corresponding to the monitoring points, j=1, 2..m, g represents the number corresponding to each acquisition time point, g=1, 2..z, f represents the number corresponding to each detection point, f=1, 2..y,/is>、/>Respectively setting compensation factors corresponding to the temperature coincidence coefficients of the monitoring points and the detection points, wherein the compensation factors correspond to the temperature coincidence coefficients of the monitoring points and the detection points respectively>And (5) the suitable growth temperature corresponding to the crops in the ith planting subarea is stored in the database.
Preferably, the analysis obtains temperature change evaluation coefficients corresponding to various planting subareas in the greenhouse to be monitored, and the specific analysis process is as follows:
by calculation formulaObtaining first temperature change evaluation coefficients corresponding to various plant subregions>Wherein->Representing the temperature corresponding to the j monitoring point in the i planting subregion in the greenhouse to be monitored in the g-1 collecting time point,/for the monitoring point>Representing the temperature corresponding to the j-1 th monitoring point in the ith planting sub-area in the greenhouse to be monitored at the g-th collection time point,/for>For a set permissible temperature difference, +.>、/>The weight factors corresponding to the temperature change evaluation coefficients of the monitoring points are respectively represented;
by calculation formulaObtaining second temperature change evaluation coefficients corresponding to various plant subregions>Wherein->Represents the g-1 th acquisition time point to be monitored in the greenhouseTemperature corresponding to the f-th detection point in i planting areas,/->Representing the temperature corresponding to the f-1 th detection point in the ith planting area in the greenhouse to be monitored at the g-th acquisition time point,/for>、/>Respectively representing weight factors corresponding to the temperature change evaluation coefficients of the detection points;
according to the calculation formulaObtaining temperature change evaluation coefficients corresponding to various plant subareas in the greenhouse to be monitored>Wherein->、/>The weight factors corresponding to the set first temperature change evaluation coefficient and the second temperature change evaluation coefficient are respectively adopted.
The invention has the beneficial effects that: according to the facility agriculture low-temperature cold damage prediction system provided by the invention, when the temperature state of the greenhouse to be monitored is in a low-temperature state, the temperature information corresponding to various planting subareas in the greenhouse to be monitored is monitored, the temperature condition and the temperature change condition corresponding to various planting subareas are analyzed, and the growth stage corresponding to crops in various planting subareas is analyzed according to the soil information and the environment information corresponding to various planting subareas in the greenhouse to be monitored, so that the cold damage grade and the regulation temperature of the crops in various planting subareas are analyzed, the defects existing in the prior art are overcome, the intelligent and automatic cold damage prediction, analysis and regulation of the greenhouse are realized, the accuracy of the temperature regulation of various subsequent planting areas is ensured, the smooth growth of the crops in various planting areas is also ensured to a certain extent, the damage of the low-temperature cold damage to the crops is reduced, and the agricultural production benefit is also greatly improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the system structure of the present invention.
Description of the embodiments
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a facility agriculture low-temperature cold damage prediction system includes an air temperature acquisition and judgment module, an in-shed temperature acquisition module, a crop influence analysis module, a temperature regulation analysis module, an execution terminal and a database.
The system comprises a greenhouse, a temperature acquisition module, a temperature regulation and control analysis module, a temperature judgment module, a temperature regulation and control analysis module and an execution terminal.
The temperature acquisition and judgment module is used for distributing each acquisition time point in a specified period according to a preset time interval, and further acquiring the temperature corresponding to the greenhouse to be monitored in each acquisition time point, so as to judge the temperature state corresponding to the greenhouse to be monitored;
the air temperature of the region corresponding to the greenhouse to be monitored in each collecting time point is obtained from the weather center and is used as the air temperature corresponding to the greenhouse to be monitored in each collecting time point.
In a specific embodiment, the specific judging process of judging the air temperature state corresponding to the greenhouse to be monitored is as follows: comparing the air temperature corresponding to the greenhouse to be monitored in each acquisition time point with a preset air temperature threshold, judging that the air temperature state corresponding to the greenhouse to be monitored is in a low temperature state if the air temperature corresponding to the greenhouse to be monitored in a certain acquisition time point is smaller than the preset air temperature threshold, and judging that the air temperature state corresponding to the greenhouse to be monitored is in a normal state if the air temperature corresponding to the greenhouse to be monitored in each acquisition time point is larger than the preset air temperature threshold.
In the above, the earliest acquisition time point when the air temperature state is in the low temperature state is taken as the target time point.
The temperature acquisition module in the greenhouse is used for acquiring temperature information corresponding to various planting subareas in the greenhouse to be monitored in each acquisition time point when the temperature state of the greenhouse to be monitored is in a low temperature state;
in a specific embodiment, the collecting the temperature information corresponding to each plant sub-area in the greenhouse to be monitored at each collecting time point includes the following specific collecting process: arranging each monitoring point at a preset height of each planting subarea according to a preset interval, arranging a temperature sensor at each monitoring point, and further collecting the temperature corresponding to each monitoring point in each planting subarea in the greenhouse to be monitored in each collecting time point;
arranging detection points at preset positions of various planting subregions according to preset height differences, and arranging temperature sensors at the detection points so as to acquire temperatures corresponding to the detection points in various planting subregions in the greenhouse to be monitored at various acquisition time points;
and taking the temperature corresponding to each monitoring point in each planting subarea in the greenhouse to be monitored in each acquisition time point and the temperature corresponding to each detection point as temperature information corresponding to each planting subarea in the greenhouse to be monitored in each acquisition time point.
The crop influence analysis module is used for acquiring the growth time length corresponding to crops in various planting subareas in the greenhouse to be monitored, collecting soil information and environment information corresponding to the various planting subareas, analyzing growth state evaluation coefficients corresponding to the crops in the various planting subareas, and judging the cold injury grades corresponding to the crops in the various planting subareas in the greenhouse to be monitored according to the temperature information corresponding to the various planting subareas in the greenhouse to be monitored in each acquisition time point;
in the above description, the soil information corresponding to the various planting subregions includes soil temperature, soil relative humidity, nutrient element content and pH value;
the nutrient elements include nitrogen, phosphorus, potassium, calcium and the like; the corresponding cold injury grades of the crops comprise delayed cold injury, barrier cold injury and the like.
The relative humidity of the air, the air temperature, the total solar radiation and the sunshine hours of the environmental information corresponding to various plant subareas.
The method is characterized in that the corresponding planting time and the growing time of crops in various planting subareas are obtained from a greenhouse management center, the planting time corresponding to the crops in the various planting subareas is used as an acquisition starting point of the various planting subareas, the target time point is used as an acquisition end point of the various planting subareas, and therefore the average soil temperature and the average soil relative humidity from the acquisition starting point to the acquisition end point corresponding to the various planting subareas are obtained from the greenhouse management center, and the average soil temperature and the average soil relative humidity are used as the soil temperature and the soil relative humidity corresponding to the various planting subareas.
And obtaining the average air relative humidity, the average air temperature, the total solar radiation amount and the average sunshine hours from the collection starting point to the collection end point corresponding to the various planting subareas from the greenhouse management center, and taking the average air relative humidity, the average air temperature, the total solar radiation amount and the average sunshine hours as the air relative humidity, the air temperature, the total solar radiation amount and the sunshine hours corresponding to the various planting subareas.
A plurality of temperature sensors and humidity sensors are distributed in the soil of various planting subareas of the greenhouse to be monitored, and the soil temperature and the soil relative humidity of the various planting subareas are collected at preset time intervals and sent to a greenhouse management center for storage; a plurality of humidity sensors, temperature sensors and sunlight spectrum irradiation instruments are distributed in various planting subregions, and air relative humidity, air temperature, total solar radiation and sunshine hours of various planting subregions are collected at preset time intervals and sent to a greenhouse management center for storage.
The growth state evaluation coefficients corresponding to the crops in various planting subregions are analyzed, and the specific analysis process is as follows: analyzing and obtaining soil influence factors corresponding to various plant subregions according to the soil information corresponding to various plant subregions, and marking the soil influence factors asI represents the numbers corresponding to the various plant subregions, i=1, 2. N;
in the above, the soil influence factors corresponding to the various plant subregions are put into the following calculation formula:wherein T, D is respectively the set reference soil temperature, the set reference soil relative humidity, and the set +.>、/>Respectively represent the soil temperature and the soil relative humidity corresponding to the ith planting subregion, and the +.>、/>Respectively set weight factors corresponding to the soil temperature and the soil relative humidity.
Based on the environmental information corresponding to the various plant subregions, analyzing and obtaining environmental impact factors corresponding to the various plant subregionsIs marked as；
The environmental information corresponding to the various planting subregions is calculated according to the calculation mode of the soil influence factors corresponding to the various planting subregions to obtain the environmental influence factors corresponding to the various planting subregions.
Substituting the growth time lengths corresponding to the crops in various planting areas into a calculation formulaObtaining the growth state evaluation coefficients corresponding to the crops in various planting subregions>Wherein t is i Representing the length of time of the corresponding growth of the crop in the ith planting subregion,/->For the reference growth time length corresponding to the crop in the ith planting subregion, the +.>Compensation factors for the set growth state evaluation coefficients, < ->、/>Respectively set soil influence factors and weight factors corresponding to the environmental influence factors.
In another specific embodiment, the judging the grade of the cold injury corresponding to the crops in the various planting areas in the greenhouse to be monitored specifically comprises the following steps: analyzing and obtaining temperature coincidence coefficients and temperature change evaluation coefficients corresponding to various planting subareas in the greenhouse to be monitored based on temperature information corresponding to the various planting subareas in the greenhouse to be monitored in various acquisition time points;
in the above, the various plant subareas in the greenhouse to be monitored correspond toThe calculation formula of the temperature coincidence coefficient is as follows:wherein->Indicating the temperature coincidence coefficient corresponding to the ith planting subregion,/->、/>Respectively representing the temperatures corresponding to the j-th monitoring point and the f-th monitoring point in the ith planting subregion in the greenhouse to be monitored in the g-th collecting time point, j representing the temperatures corresponding to the monitoring points, j=1, 2..m, g represents the number corresponding to each acquisition time point, g=1, 2..z, f represents the number corresponding to each detection point, f=1, 2..y,/is>、/>Respectively setting compensation factors corresponding to the temperature coincidence coefficients of the monitoring points and the detection points, wherein the compensation factors correspond to the temperature coincidence coefficients of the monitoring points and the detection points respectively>And (5) the suitable growth temperature corresponding to the crops in the ith planting subarea is stored in the database.
In the above, the analysis obtains the temperature change evaluation coefficients corresponding to the various planting subareas in the greenhouse to be monitored, and the specific analysis process is as follows:
by calculation formulaObtaining first temperature change evaluation coefficients corresponding to various plant subregions>Wherein->Representing the temperature corresponding to the j monitoring point in the i planting subregion in the greenhouse to be monitored in the g-1 collecting time point,/for the monitoring point>Representing the temperature corresponding to the j-1 th monitoring point in the ith planting sub-area in the greenhouse to be monitored at the g-th collection time point,/for>For a set permissible temperature difference, +.>、/>The weight factors corresponding to the temperature change evaluation coefficients of the monitoring points are respectively represented;
by calculation formulaObtaining second temperature change evaluation coefficients corresponding to various plant subregions>Wherein->Representing the temperature corresponding to the f detection point in the ith planting area in the greenhouse to be monitored in the g-1 collection time point,/for the detection point>Representing the temperature corresponding to the f-1 th detection point in the ith planting area in the greenhouse to be monitored at the g-th acquisition time point,/for>、/>Respectively represent the temperature change evaluation coefficient of the detection points and the temperature change between the detection pointsA weight factor corresponding to the temperature change evaluation coefficient;
according to the calculation formulaObtaining temperature change evaluation coefficients corresponding to various planting subareas in the greenhouse to be monitored>Wherein->、/>The weight factors corresponding to the set first temperature change evaluation coefficient and the second temperature change evaluation coefficient are respectively adopted.
Comparing the growth state evaluation coefficients corresponding to the crops in the various planting subregions with preset growth state evaluation coefficient intervals corresponding to the various growth states to obtain growth stages corresponding to the crops in the various planting subregions, and obtaining the allowable temperature coincidence coefficients and the allowable temperature change evaluation coefficients corresponding to the crops in the various planting subregions based on the allowable temperature coincidence coefficients and the allowable temperature change evaluation coefficients corresponding to the growth stages of the crops stored in the database;
and comparing the temperature coincidence coefficient and the temperature change evaluation coefficient corresponding to the various planting areas with the allowable temperature coincidence coefficient and the allowable temperature change evaluation coefficient corresponding to the crops in the various planting subareas respectively to obtain the temperature condition and the temperature change condition corresponding to the various planting areas, and further analyzing and obtaining the cold injury grade corresponding to the crops in the various planting subareas according to the growth stage corresponding to the crops in the various planting areas.
In the above, the analysis process of the temperature condition and the temperature change condition corresponding to each planting area is as follows: if the temperature coincidence coefficient corresponding to a certain planting area is smaller than the allowable temperature coincidence coefficient corresponding to crops in the planting area, the corresponding temperature condition in the planting area is judged to be continuously lower, otherwise, the corresponding temperature condition in the planting area is judged to be continuously lower, and the corresponding temperature conditions of various planting areas are obtained in this way.
If the temperature change evaluation coefficient corresponding to a certain planting area is larger than the allowable temperature change evaluation coefficient corresponding to crops in the planting area, judging that the temperature change condition corresponding to the planting area is larger in temperature change, otherwise, judging that the temperature change condition corresponding to the planting area is slow in temperature change, and obtaining the temperature change conditions corresponding to various planting areas in this way.
In the above, the cold injury grade corresponding to the crops in various planting subregions is obtained by analysis, and the specific analysis process is as follows: and obtaining the corresponding cold injury grades of the crops in the growth stages under the conditions of the temperatures and the temperature changes from the database, thereby obtaining the corresponding cold injury grades of the crops in the planting subregions according to the growth stages, the temperature conditions and the temperature changes of the crops in the planting subregions.
The temperature regulation analysis module is used for acquiring proper temperatures of various crops corresponding to various cold injury grades from the database, so as to acquire regulation temperatures corresponding to various plant subareas in the greenhouse to be monitored and perform corresponding regulation;
in the above, the control temperatures corresponding to various planting subareas in the greenhouse to be monitored are obtained, and the specific analysis process is as follows: and comparing the cold injury grades corresponding to the crops in the various planting subregions with the proper temperatures of the cold injury grades corresponding to the crops, taking the proper temperatures of the cold injury grades corresponding to the crops as the proper temperatures of the cold injury grades corresponding to the crops in the planting subregions if the crops in the certain planting subregions are the same as the crops, further comparing the cold injury grades corresponding to the crops in the various planting subregions with the proper temperatures of the cold injury grades corresponding to the crops, and taking the proper temperatures of the cold injury grades corresponding to the crops in the planting subregions as the regulating temperature corresponding to the planting subregions if the cold injury grades corresponding to the crops in the certain planting subregions are the same as the regulating temperature corresponding to the planting subregions.
And the execution terminal is used for executing corresponding operations according to the air temperature state of the greenhouse to be monitored and the cold injury grades corresponding to the crops in the various planting subareas.
In the above, when the temperature of the greenhouse to be monitored is in a low-temperature state, early warning prompt is carried out; and displaying the cold injury grades corresponding to the crops in various planting areas in the greenhouse to be monitored on a display device.
Note that the display device includes a display screen or the like.
The database is used for storing proper temperatures of crops corresponding to the cold injury grades, storing permissible temperature coincidence coefficients and permissible temperature change evaluation coefficients corresponding to the growth stages of the crops, storing reference temperature coincidence coefficients corresponding to the growth state evaluation coefficients of the crops, storing proper growth temperatures corresponding to the crops in the planting subareas, and storing the cold injury grades corresponding to the growth stages of the crops under the conditions of the temperatures and the temperature change conditions.
According to the embodiment of the invention, when the temperature state of the greenhouse to be monitored is in a low-temperature state, the temperature information corresponding to various planting subareas in the greenhouse to be monitored is monitored, the temperature conditions and the temperature change conditions corresponding to the various planting subareas are analyzed, and the growth stages corresponding to crops in the various planting subareas are analyzed according to the soil information and the environment information corresponding to the various planting subareas in the greenhouse to be monitored, so that the cold damage grade and the regulation and control temperature of the crops in the various planting subareas are analyzed, the defects in the prior art are overcome, the intelligent and automatic cold damage forecasting, analysis and regulation of the greenhouse are realized, the temperature regulation and control accuracy of various subsequent planting areas is ensured, the smooth growth of the crops in various planting areas is also ensured to a certain extent, the damage of low-temperature cold damage to the crops is reduced, and the agricultural production benefit is also greatly improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the present specification and the equivalent techniques, the present invention is also intended to include such modifications and variations.
Claims (3)
1. A facility agriculture cryogenic cold damage prediction system, comprising:
the air temperature acquisition and judgment module is used for arranging each acquisition time point in a specified period according to a preset time interval, and further acquiring the air temperature corresponding to the greenhouse to be monitored in each acquisition time point, so as to judge the air temperature state corresponding to the greenhouse to be monitored;
the temperature acquisition module in the greenhouse is used for acquiring temperature information corresponding to various planting subareas in the greenhouse to be monitored in each acquisition time point when the temperature state of the greenhouse to be monitored is in a low temperature state;
the temperature information corresponding to various planting subareas in the greenhouse to be monitored in each acquisition time point is acquired, and the specific acquisition process is as follows: arranging each monitoring point at a preset height of each planting subarea according to a preset interval, arranging a temperature sensor at each monitoring point, and further collecting the temperature corresponding to each monitoring point in each planting subarea in the greenhouse to be monitored in each collecting time point;
arranging detection points at preset positions of various planting subregions according to preset height differences, and arranging temperature sensors at the detection points so as to acquire temperatures corresponding to the detection points in various planting subregions in the greenhouse to be monitored at various acquisition time points;
taking the temperature corresponding to each monitoring point in each planting subregion in the greenhouse to be monitored in each collecting time point and the temperature corresponding to each detecting point as the temperature information corresponding to each planting subregion in the greenhouse to be monitored in each collecting time point;
the crop influence analysis module is used for acquiring the growth time length corresponding to crops in various planting subareas in the greenhouse to be monitored, acquiring soil information and environment information corresponding to the various planting subareas, analyzing growth state evaluation coefficients corresponding to the crops in the various planting subareas, and judging the cold injury grades corresponding to the crops in the various planting subareas in the greenhouse to be monitored according to the temperature information corresponding to the various planting subareas in the greenhouse to be monitored in each acquisition time point;
the growth state evaluation coefficients corresponding to the crops in various planting subregions are analyzed, and the specific analysis process is as follows: analyzing and obtaining soil influence factors corresponding to various plant subregions according to the soil information corresponding to various plant subregions, and marking the soil influence factors asI represents the numbers corresponding to the various plant subregions, i=1, 2. N;
analyzing and obtaining environmental impact factors corresponding to various plant subregions based on the environmental information corresponding to the various plant subregions, and marking the environmental impact factors as；
Substituting the growth time lengths corresponding to the crops in various planting areas into a calculation formulaObtaining the growth state evaluation coefficients corresponding to the crops in various planting subregions>Wherein t is i Representing the length of time of the corresponding growth of the crop in the ith planting subregion,/->For the reference growth time length corresponding to the crop in the ith planting subregion, the +.>Compensation factors for the set growth state evaluation coefficients, < ->、Respectively setting weight factors corresponding to the soil influence factors and the environment influence factors;
the specific judging process comprises the following steps of: analyzing and obtaining temperature coincidence coefficients and temperature change evaluation coefficients corresponding to various planting subareas in the greenhouse to be monitored based on temperature information corresponding to the various planting subareas in the greenhouse to be monitored in various acquisition time points;
comparing the growth state evaluation coefficients corresponding to the crops in the various planting subregions with preset growth state evaluation coefficient intervals corresponding to the various growth states to obtain growth stages corresponding to the crops in the various planting subregions, and obtaining the allowable temperature coincidence coefficients and the allowable temperature change evaluation coefficients corresponding to the crops in the various planting subregions based on the allowable temperature coincidence coefficients and the allowable temperature change evaluation coefficients corresponding to the growth stages of the crops stored in the database;
comparing the temperature coincidence coefficient and the temperature change evaluation coefficient corresponding to the various planting areas with the allowable temperature coincidence coefficient and the allowable temperature change evaluation coefficient corresponding to the crops in the various planting subareas respectively to obtain temperature conditions and temperature change conditions corresponding to the various planting areas, and further analyzing to obtain the cold injury grades corresponding to the crops in the various planting subareas according to the growth stages corresponding to the crops in the various planting areas;
the calculation formula of the temperature coincidence coefficient corresponding to each planting subarea in the greenhouse to be monitored is as follows:wherein->Indicating the temperature coincidence coefficient corresponding to the ith planting subregion,/->、/>Respectively represents the jth monitoring point and the jth monitoring point in the ith planting subregion in the greenhouse to be monitored in the g-th acquisition time pointf temperatures corresponding to the detection points, j represents the temperature corresponding to each monitoring point, j=1, 2.. g represents the number corresponding to each acquisition time point, g=1, 2..z., g=1, 2. The number z is a number>、/>Respectively setting compensation factors corresponding to the temperature coincidence coefficients of the monitoring points and the detection points, wherein the compensation factors correspond to the temperature coincidence coefficients of the monitoring points and the detection points respectively>The method comprises the steps of storing the suitable growth temperature corresponding to the crops in the ith planting subarea in a database;
the analysis is carried out to obtain temperature change evaluation coefficients corresponding to various plant subareas in the greenhouse to be monitored, and the specific analysis process is as follows: by calculation formulaObtaining first temperature change evaluation coefficients corresponding to various plant subregions>Wherein->Representing the temperature corresponding to the j monitoring point in the i planting subregion in the greenhouse to be monitored in the g-1 collecting time point,/for the monitoring point>Representing the temperature corresponding to the j-1 th monitoring point in the ith planting sub-area in the greenhouse to be monitored at the g-th collection time point,/for>For a set permissible temperature difference, +.>、/>The weight factors corresponding to the temperature change evaluation coefficients of the monitoring points are respectively represented;
by calculation formulaObtaining second temperature change evaluation coefficients corresponding to various plant subregions>Wherein->Representing the temperature corresponding to the f detection point in the ith planting area in the greenhouse to be monitored in the g-1 collection time point,/for the detection point>Representing the temperature corresponding to the f-1 th detection point in the ith planting area in the greenhouse to be monitored at the g-th acquisition time point,/for>、/>Respectively representing weight factors corresponding to the temperature change evaluation coefficients of the detection points;
according to the calculation formulaObtaining temperature change evaluation coefficients corresponding to various plant subareas in the greenhouse to be monitored>Wherein->、/>Respectively setting weight factors corresponding to the first temperature change evaluation coefficient and the second temperature change evaluation coefficient;
the temperature regulation analysis module is used for acquiring proper temperatures of various crops corresponding to various cold injury grades from the database, so as to acquire regulation temperatures corresponding to various plant subareas in the greenhouse to be monitored and perform corresponding regulation;
and the execution terminal is used for executing corresponding operations according to the air temperature state of the greenhouse to be monitored and the cold injury grades corresponding to the crops in the various planting subareas.
2. The system for forecasting the low-temperature cold injury of the facility agriculture according to claim 1, wherein the specific judging process is as follows: comparing the air temperature corresponding to the greenhouse to be monitored in each acquisition time point with a preset air temperature threshold, judging that the air temperature state corresponding to the greenhouse to be monitored is in a low temperature state if the air temperature corresponding to the greenhouse to be monitored in a certain acquisition time point is smaller than the preset air temperature threshold, and judging that the air temperature state corresponding to the greenhouse to be monitored is in a normal state if the air temperature corresponding to the greenhouse to be monitored in each acquisition time point is larger than the preset air temperature threshold.
3. The system for forecasting the low-temperature cold injury of the facility agriculture according to claim 1, wherein the soil information corresponding to the various planting subregions comprises soil temperature, soil relative humidity, nutrient element content and pH value;
the relative humidity of the air, the air temperature, the total solar radiation and the sunshine hours of the environmental information corresponding to various plant subareas.
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| CN117519354B (en) * | 2024-01-08 | 2024-03-29 | 山西省农业机械发展中心 | Intelligent information remote monitoring system for facility agriculture |
| CN117882592B (en) * | 2024-03-14 | 2024-06-04 | 兰州石化职业技术大学 | Composite sunlight greenhouse and control method |
| CN118466647B (en) * | 2024-05-31 | 2024-10-25 | 杨凌职业技术学院 | Intelligent agriculture planting management method and system |
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