CN114594813B - Multivariable environment regulation and control method - Google Patents
Multivariable environment regulation and control method Download PDFInfo
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- CN114594813B CN114594813B CN202011437034.9A CN202011437034A CN114594813B CN 114594813 B CN114594813 B CN 114594813B CN 202011437034 A CN202011437034 A CN 202011437034A CN 114594813 B CN114594813 B CN 114594813B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses a multivariable environment regulation and control method, which comprises a multivariable database establishing step, a first data collecting step, a second data collecting step, a judging step and a comparison executing step, wherein the multivariable database establishing step is to establish the multivariable database in advance, the first data collecting step is to obtain a first environment parameter value range combination by a processor in a first preset time interval, the second data collecting step is to obtain a second environment parameter value range combination by the processor in a second preset time interval, the judging step is to judge whether the first environment parameter value range combination is close to any target value range combination compared with the second environment parameter value range combination by the processor, and the comparison executing step is to judge whether the comparison executing step is negative, the processor compares the first environment parameter value range combination with the multivariable database and operates according to a mode matched with the comparison.
Description
Technical Field
The present invention relates to an environmental control method, and more particularly to a multivariable environmental control method.
Background
The technological development of human beings for cultivating various organisms in a greenhouse tends to be deeper, the environment of the greenhouse is regulated and controlled to be suitable for the growing environmental parameters of the various organisms to be cultivated, and the various organisms to be cultivated can grow well. Various organisms such as white broiler chicken, butterfly orchid and the like. Please refer to table one for the environmental parameters suitable for the growth of phalaenopsis.
Watch 1
As can be seen from table one, the environmental parameters required by the moth orchid during each growth period are not only considered one. The indoor environmental parameters are closely related to the external environment, and the indoor environmental parameters are usually controlled by various environmental controllers, such as: the water curtain wall, the heating machine, the air exhaust fan, the air window, the canvas, the cold air and the like carry out environment regulation to ensure that the environment condition can be maintained in a proper range, the environmental parameters influenced by the environmental controllers are different, even one environmental controller influences a plurality of environmental parameters at the same time, therefore, when the change of the outdoor environment is violent along with day and night and four seasons, if the environmental controllers are regulated in real time along with the change of the outdoor environment and only one environmental parameter is considered, the environmental parameters can not be regulated and controlled smoothly in the proper range of growth of various organisms.
Disclosure of Invention
Therefore, the present invention provides a multivariable environmental control method for allowing indoor environmental control equipment to simultaneously consider the influence of various environmental parameters on environmental conditions to control the indoor environment within a suitable range for biological growth.
The multivariate environmental regulation and control method comprises a step of establishing a multivariate database, a first data collection step, a second data collection step, a judgment step and a comparison execution step.
The step of establishing the multivariate database is to establish a multivariate database in advance, a plurality of pre-regulation environment parameter value range combinations, a plurality of environmental control modes and a plurality of target value range combinations of a closed space are stored in the multivariate database, each pre-regulation environment parameter value range combination comprises a plurality of ranges of values of different pre-regulation environment parameters, each target value range combination comprises a plurality of ranges of values of different post-regulation environment parameters, the pre-regulation environment parameters are the same as the post-regulation environment parameters, and each pre-regulation environment parameter value range combination corresponds to one of the environmental control modes and one of the target value range combinations. The first data collection step is that the processor continuously obtains a first environment parameter value range combination in a first preset time interval, wherein the first environment parameter value range combination is a range of values of a plurality of environment parameters which operate in a first environmental control mode in an indoor space, and the environment parameters are the same as the environment parameters before the regulation and control. The second data collection step is to obtain a second combination of environmental parameter values for a second predetermined time interval before the first predetermined time interval, wherein the second combination of environmental parameter values is a range of values of the environmental parameters in the indoor space. The determining step is that the processor continuously compares the first environmental parameter value range combination and the second environmental parameter value range combination, and determines whether the first environmental parameter value range combination is closer to any target value range combination than the second environmental parameter value range combination. The comparison executing step is that if the processor judges that the first environment parameter value range combination does not approach any target value range combination compared with the second environment parameter value range combination, the processor compares the first environment parameter value range combination with the pre-regulation environment parameter value range combination, and operates in the corresponding environment control mode according to the matched pre-regulation environment parameter value range combination.
Preferably, the multivariate database stores a combination of environmental parameter values in regulation and a middle control mode, the combination of environmental parameter values in regulation and control includes a range of values of a plurality of environmental parameters in different regulations, the environmental parameters in regulation and control are the same as the environmental parameters before regulation and the combination of environmental parameter values in regulation and control corresponds to the middle control mode and the combination of environmental parameter values before regulation and control.
Preferably, the multivariate database stores a plurality of combinations of environmental parameter value ranges in control and a plurality of intermediate control modes, each of the combinations of environmental parameter value ranges in control includes a plurality of ranges of values of environmental parameters in control, the environmental parameters in control are the same as the environmental parameters before control, and one of the combinations of environmental parameter value ranges in control corresponds to one of the intermediate control modes and one of the combinations of environmental parameter value ranges before control.
Preferably, if the processor determines that the first combination of environmental parameter values is closer to any target value range combination than the second combination of environmental parameter values, the processor controls to continue operating in the first environmental control mode.
Preferably, in the multivariate database, the range of the value of each pre-conditioning environment parameter value range combination is preset with a preset range, and the range of the value of each pre-conditioning environment parameter is one of higher than the preset range, the preset range and lower than the preset range, when the number of the pre-conditioning environment parameters of each pre-conditioning environment parameter value range combination is n, the number of the pre-conditioning environment parameter value range combinations is 3n.
Preferably, the processor compares a maximum value, a minimum value, an average value and a standard deviation in the range of values of each environmental parameter in the first environmental parameter range combination with a maximum value, a minimum value, an average value and a standard deviation in the range of values of each environmental parameter in the second environmental parameter range combination, respectively, to determine whether the first environmental parameter range combination is closer to any target value range combination than the second environmental parameter range combination.
Preferably, the environmental control modes are executed by an environmental control device, and in the multivariate database, the environmental control mode corresponding to each pre-conditioning environmental parameter value range combination is set according to the value range of the outdoor pre-conditioning environmental parameters, the effect of the environmental control device on the pre-conditioning environmental parameters, the value range of the pre-conditioning environmental parameters in the enclosed space, the corresponding target value range combination, and the size of the enclosed space.
Preferably, the plant includes a plurality of environmental controllers, and each combination of target value ranges is associated with the number of each environmental controller executed by the plant setting in the multivariate database.
Preferably, the multivariate database is established according to an environmental variation factor, and the environmental variation factor comprises at least one of a presence or absence of sunlight and a seasonal variation factor.
According to the technical characteristics, the following effects can be achieved:
1. the method comprises the steps of establishing a multivariate database storing a pre-regulation environmental parameter value range combination, a corresponding equal environmental control mode and a corresponding equal target value range combination in advance through long-term data accumulation, judging whether the current first environmental parameter value range combination of the indoor space is suitable for the environmental state of the living beings or not through the processor, if not, executing the environmental control mode conforming to the first environmental parameter value range combination through the processor according to the multivariate database by comparing, so as to adjust the value range of the environmental parameters to reach any target value range combination, if so, continuing to operate in the first environmental control mode, and continuously judging whether the current first environmental parameter value range combination of the indoor space is suitable for the environmental state of the living beings or not through the processor, so as to achieve the purpose of simultaneously considering various environmental parameters and maintaining the indoor space in an optimal regulation mechanism.
Drawings
FIG. 1 is a block diagram illustrating a control system for implementing a multivariate environmental regulation method of the invention.
FIG. 2 is a flow chart illustrating an embodiment of the multivariable environment regulation method of the present invention.
Description of the symbols:
1: processor
2 multivariate database
3: environmental control equipment
31 environmental controller
4: indoor environment parameter sensor
S01 establishing multivariate database
S02, a first data collecting step
S03 second data Collection step
S04, a judging step
S05, comparison execution step
And S06, continuing to execute the step.
Detailed Description
The main efficacy of the multivariable environmental control method of the present invention will be clearly demonstrated in the following examples, combining the above technical features.
Referring to fig. 1 and 2, an embodiment of the multivariable environment regulation method of the present invention is implemented by a control system. The control system comprises a processor 1, a multivariate database 2, an environmental control device 3, and a plurality of indoor environmental parameter sensors 4. The multivariate environmental regulation method comprises a step S01 of establishing a multivariate database, a first data collection step S02, a second data collection step S03, a judgment step S04, a comparison execution step S05 and a continuous execution step S06.
The control system is arranged in an indoor space. The processor 1 is in signal communication with the multivariate database 2, the environmental control equipment 3, and the indoor environmental parameter sensors 4. The environmental control apparatus 3 includes a plurality of environmental controllers 31, and the environmental controllers 31 are respectively a water curtain wall, a heater, an air extracting fan, a louver, a canvas, and a cold air. In this example, the number of each environment controller 31 is explained as one. In this example, the number of the indoor environment parameter sensors 4 is three, and the plurality of environment parameters of the indoor space are respectively sensed, the environment parameters are respectively a temperature, a humidity and a carbon dioxide concentration. Each environmental controller 31 affects at least one environmental parameter. Please refer to table two.
Watch two
| Environmental controller | Environmental parameter |
| Water curtain wall | Reduced temperature, increased humidity, reduced carbon dioxide concentration |
| Warming machine | Increased temperature, reduced humidity, increased carbon dioxide concentration |
| Air extracting fan | Reduced temperature, humidity, and carbon dioxide concentration |
| Transom window | Carbon dioxide concentration reduction |
| Canvas | Temperature increase |
| Cold air | Reduced temperature and humidity |
The step S01 of creating the multivariate database is to create the multivariate database 2 in advance. A plurality of combinations of pre-conditioning environmental parameter value ranges, a plurality of environment control modes, and a plurality of combinations of target value ranges in a closed space are stored in the multivariate database 2. Preferably, the size of the closed space is the same as that of the indoor space. The multivariate database 2 is established based on an environmental variation factor including at least one of a presence or absence of sunlight and a seasonal variation factor. For example, the multivariate database 2 can be built by day, night, or by spring, summer, autumn, winter, or even the multivariate database 2 can be built by morning, evening, and four seasons. For example, the multivariate database 2 is to be used in summer nights, and is established according to the environmental conditions in summer nights.
In the multivariate database 2, each set of pre-conditioned environment parameter value ranges comprises a plurality of ranges of values of different pre-conditioned environment parameters. The pre-conditioning environmental parameters are the same as the environmental parameters. Each target value range combination comprises a plurality of ranges of values of different regulated environmental parameters. The pre-conditioning environmental parameters are the same as the post-conditioning environmental parameters. Each pre-conditioning environmental parameter value range combination corresponds to one of the ring control modes and one of the target value range combinations. Therefore, each set of pre-conditioning environmental parameter value ranges is subjected to the corresponding loop control mode by the loop control device 3, so that the range of the pre-conditioning environmental parameter values of the enclosed space is made to approach the range of the post-conditioning environmental parameter values. The range of values of the regulated environmental parameters is an environmental state that allows an organism to grow at a time. The environmental control mode corresponding to each pre-control environment parameter value range combination is set according to the outdoor pre-control environment parameter value range, the effect of the environmental control device 3 on the pre-control environment parameters, the pre-control environment parameter value range in the closed space, the corresponding target value range combination, and the size of the closed space. The environmental control mode is set according to the range of the outdoor pre-control environmental parameter values because the environmental control device 3 introduces outdoor air during operation, and therefore, the outdoor pre-control environmental parameter values need to be referred to. For example, the indoor temperature is maintained at 20 ℃ in summer and winter, the settings of the environmental control modes, such as the set cold air volume and temperature, are different, and the cold air setting modes in the day and night are slightly different if viewed in a day. The setting of the environmental control mode is also based on the respective effects of the environmental controllers 31 of the environmental control apparatus 3 on the pre-conditioning environmental parameters, please refer to table two for example. This equal environmental parameter that the operation of this cascade wall can influence is for letting this temperature reduce, this humidity improves, this carbon dioxide concentration reduces, this equal environmental parameter that the operation of this machine of heating can influence is for letting this temperature improve, this humidity reduces, this carbon dioxide concentration improves, this equal environmental parameter that the operation of this air exhaust fan can influence is for letting this temperature reduce, this humidity reduces, this carbon dioxide concentration reduces, this environmental parameter that the seting up of this transom can influence is for letting this carbon dioxide concentration reduce, this environmental parameter that the cover of this canvas can influence is for letting this temperature improve, this environmental parameter that the operation of this air conditioning can influence is for letting this temperature reduce, this humidity reduces.
Each target value range combination is related to the number of each environmental controller 31 executed by the corresponding environment control mode setting, and the amount of each environmental controller 31 started has a significant difference in environmental benefit, so the number of each environmental controller 31 to be started is related to the environmental benefit presentation, the outdoor environment variation, and the environmental factors required by the growth of various organisms.
In the multivariate database 2, a preset range is preset for the range of the value of each pre-conditioning environmental parameter value range combination, and the range of the value of each pre-conditioning environmental parameter is one of higher than the preset range, the preset range and lower than the preset range, when the number of the pre-conditioning environmental parameters of each pre-conditioning environmental parameter value range combination is n, the number of the pre-conditioning environmental parameter value range combinations is 3n and the number of the target value range combinations is 3n because the range of the value of any pre-conditioning environmental parameter has three different ranges, and the pre-conditioning environmental parameter value range combinations respectively correspond to the target value range combinations. For convenience of description, the range of the value of each pre-conditioning environmental parameter above the preset range is expressed as a high level, the range of the value of each pre-conditioning environmental parameter within the preset range is expressed as a medium level, and the range of the value of each pre-conditioning environmental parameter below the preset range is expressed as a low level. It should be added that, sometimes the pre-regulation environmental parameter value range combination cannot be directly adjusted to approach the corresponding target value range combination, and may approach an in-regulation environmental parameter value range combination first, and then the environmental control device 3 adjusts the pre-regulation environmental parameter value range combination to approach the corresponding target value range combination again by using a corresponding intermediate environmental control mode, where the in-regulation environmental parameter value range combination includes a plurality of ranges of values of different in-regulation environmental parameters, and the in-regulation environmental parameters are the same as the pre-regulation environmental parameters, so the multivariate database 2 further stores the in-regulation environmental parameter value range combination and the intermediate environmental control mode, and the in-regulation environmental parameter value range combination corresponds to the intermediate environmental control mode and one of the pre-regulation environmental parameter value range combinations. Or the combination of the environmental parameter value ranges before the adjustment and control will tend to the corresponding combination of the environmental parameter value ranges in the adjustment and control respectively, and will tend to the corresponding combination of the target value ranges after the adjustment of the corresponding intermediate environmental control modes. Therefore, the multivariate database 2 further stores the combinations of the ranges of the environmental parameter values in the control and the corresponding intermediate control modes, wherein one of the combinations of the ranges of the environmental parameter values in the control corresponds to one of the intermediate control modes and one of the combinations of the ranges of the environmental parameter values before the control.
For example, table three shows the multivariate database 2 of a white broiler, the pre-conditioning environmental parameters are the temperature, the humidity and the carbon dioxide concentration, and the number of the pre-conditioning environmental parameter value range combinations and the target value range combinations are 27, there are 27 states. Wherein only four types of states are presented in the 27 combinations of target value ranges, and the four types of states are environmental states suitable for the growth of the white broiler: one state is that the temperature is in a middle level, the humidity is in the middle level, and the carbon dioxide concentration is in the middle level; the other state is that the temperature is in the middle level, the humidity is in the middle level, and the carbon dioxide concentration is in the low level; yet another state is that the temperature is at the middle level, the humidity is at the low level, and the carbon dioxide concentration is at the middle level; yet another state is that the temperature is at the middle level, the humidity is at the low level, and the carbon dioxide concentration is at the low level. The pre-conditioning environmental parameter value range combinations will finally trend to the status of any kind of target value range combination, wherein the statuses 2, 3, 5, 6, 8, 9 will first trend to the conditioning environmental parameter value range combinations, and then trend to the target value range combinations after being adjusted by the corresponding intermediate conditioning modes. It should be added that the combination of target value ranges suitable for growth of each organism is different in status and the number of statuses presenting different statuses is different, for example, the combination of target value ranges of the white broiler chicken is four types of statuses, but the number of the combination of target value ranges is the same as the number of the combination of the environmental parameter value ranges before the regulation.
Watch III
The first data collecting step S02 is to continuously sense the environmental parameters by the indoor environmental parameter sensors 4, and then continuously obtain a first environmental parameter value range combination from the indoor environmental parameter sensors 4 in a first predetermined time interval by the processor 1, where the first environmental parameter value range combination is a range of values of the environmental parameters of the environmental control apparatus 3 operating in a first environmental control mode in the indoor space. For example, the first predetermined time interval is a time interval from 8 to 9 am, and the first environmental control mode is to operate the heater, open the louver, and operate the cold air.
The second data collecting step S03 is to utilize the processor 1 to continuously obtain a second combination of environmental parameter values from the indoor environmental parameter sensors 4 at a second predetermined time interval before the first predetermined time interval, where the second combination of environmental parameter values is within the range of the values of the environmental parameters in the indoor space, and it should be noted that the mode in which the environmental control apparatus 3 operates is not limited during the second predetermined time interval. For example, the second predetermined time interval is a time interval from 7 am to 8 am.
The determining step S04 is to utilize the processor 1 to continuously compare the first environmental parameter range combination and the second environmental parameter range combination, and determine whether the first environmental parameter range combination is approaching to any target value range combination compared to the second environmental parameter range combination. If the processor 1 determines that the first environmental parameter value range combination does not approach any target value range combination compared to the second environmental parameter value range combination, the comparison step S05 is performed, and if the processor 1 determines that the first environmental parameter value range combination approaches any target value range combination compared to the second environmental parameter value range combination, the comparison step S06 is performed. In detail, the processor 1 is utilized to compare a maximum value, a minimum value, an average value and a standard deviation of the range of values of each environmental parameter in the first environmental parameter value range combination with a maximum value, a minimum value, an average value and a standard deviation of the range of values of each environmental parameter in the second environmental parameter value range combination, respectively, so as to determine whether the first environmental parameter value range combination approaches any target value range combination compared with the second environmental parameter value range combination. For example, if the first combination of environmental parameter values measured in the time interval from 8 to 9 am is closer to the target value range combination of any of the four states than the second combination of environmental parameter values measured in the time interval from 7 to 8 am, the step S06 is performed if the first combination of environmental parameter values is suitable, and otherwise, the step S05 is performed if the first combination of environmental parameter values is not suitable.
The comparison executing step S05 is to compare the first environmental parameter value range combination with the pre-regulation environmental parameter value range combination in the multivariate database 2 by using the processor 1, and control the environmental control apparatus 3 to operate in the corresponding environmental control mode according to the matched pre-regulation environmental parameter value range combination. For example, the combination of the environmental parameter values in the first environmental parameter value range combination is that the temperature is the low level, the humidity is the low level, the carbon dioxide concentration is the medium level, and corresponds to the state 2 of the multivariate database, and is the same as the combination of the environmental parameter values in the state 2 before the adjustment, the processor 1 controls the environmental control device 3 to operate in the corresponding environmental control mode, and the range of the environmental parameter values tends to the corresponding combination of the environmental parameter values in the adjustment, then the processor 1 controls the environmental control device 3 to operate in the corresponding intermediate environmental control mode, so that the range of the environmental parameter values tends to the corresponding combination of the target value ranges, that is, the temperature is the medium level, the humidity is the low level, and the carbon dioxide concentration is the medium level, thereby achieving the suitable feeding environment for the white broiler. The comparison execution step S05 is executed, and then the first data collection step S02 is executed.
The step S06 is executed to utilize the processor 1 to control the ring control apparatus 3 to continue to operate in the first ring control mode. The execution of the continue step S06 is followed by returning to the first data collecting step S02.
Therefore, the processor 1 continuously collects the ranges of the values of the environmental parameters in each time interval, compares the ranges of the values of the environmental parameters with the time intervals of the previous time points, and determines whether the ranges of the values of the environmental parameters approach any target value range combination, if not, the environmental control apparatus 3 is controlled according to the multivariate database 2, so that the ranges of the values of the environmental parameters in the indoor space approach any target value range combination, thereby achieving the optimal control mechanism.
In summary, the multivariate database 2 storing the pre-conditioning environmental parameter value range combinations, the corresponding environmental control modes, and the corresponding target value range combinations is established in advance by the multivariate database establishing step S01, and the first data collecting step S02, the second data collecting step S03, and the determining step S04, the processor 1 is used to continuously determine whether the current first environmental parameter value range combination of the indoor space is suitable for the environmental status of the living being, if not, the comparing executing step S05 is performed, the processor 1 is used to execute the environmental control mode according to the comparing the multivariate database 2 to adjust the value ranges of the environmental parameters to any target value range combination, if so, the continuing executing step S06 is performed to continue to operate in the first environmental control mode, and the processor 1 is used to continuously determine whether the current first environmental parameter value range combination of the indoor space is suitable for the environmental status of the living being controlled, so as to achieve the optimal environmental parameter regulation and control mechanism of the indoor space.
Claims (9)
1. A multivariable environment regulation method comprises the steps of establishing a multivariable database in advance, storing a plurality of pre-regulation environment parameter value range combinations, a plurality of environment control modes and a plurality of target value range combinations in a closed space in the multivariable database, wherein each pre-regulation environment parameter value range combination comprises a plurality of ranges of values of different pre-regulation environment parameters, each target value range combination comprises a plurality of ranges of values of different post-regulation environment parameters, the pre-regulation environment parameters are the same as the post-regulation environment parameters, each pre-regulation environment parameter value range combination corresponds to one of the environment control modes, and one of the target value range combinations, and the multivariable environment regulation method is characterized by further comprising the following steps:
a processor continuously obtains a first environment parameter value range combination in a first preset time interval, wherein the first environment parameter value range combination is a range of values of a plurality of environment parameters which operate in a first environmental control mode in an indoor space, and the environment parameters are the same as the environment parameters before the regulation and control;
the processor continuously obtains a second environment parameter value range combination in a second preset time interval before the first preset time interval, wherein the second environment parameter value range combination is the range of the values of the environment parameters in the indoor space;
the processor continuously compares the first environmental parameter value range combination with the second environmental parameter value range combination, and judges whether the first environmental parameter value range combination is close to any target value range combination compared with the second environmental parameter value range combination; and
if the processor determines that the first environmental parameter value range combination does not approach any target value range combination compared with the second environmental parameter value range combination, the processor compares the first environmental parameter value range combination with the pre-regulation environmental parameter value range combination, and operates in the corresponding environment control mode according to the matched pre-regulation environmental parameter value range combination.
2. The multivariate environmental regulation method of claim 1, wherein the multivariate database stores a set of in-regulation environmental parameter value ranges and an intermediate environmental control pattern, the set of in-regulation environmental parameter values ranges comprising a plurality of ranges of values of different in-regulation environmental parameters, the in-regulation environmental parameters being the same as the pre-regulation environmental parameters, the set of in-regulation environmental parameter values ranges corresponding to the intermediate environmental control pattern and one of the pre-regulation environmental parameter value ranges.
3. The multivariate environmental regulation method of claim 1, wherein the multivariate database stores a plurality of regulation-in-environment parameter value range combinations and a plurality of intermediate environment control patterns, each regulation-in-environment parameter value range combination comprises a plurality of ranges of values of the regulation-in-environment parameters, the regulation-in-environment parameters being the same as the pre-regulation environment parameters, wherein a regulation-in-environment parameter value range combination corresponds to one of the intermediate environment control patterns and one of the pre-regulation environment parameter value range combinations.
4. The multivariate environment regulation method of claim 1, wherein if the processor determines that the first combination of environmental parameter values is closer to any target value range combination than the second combination of environmental parameter values, the processor controls to continue operating in the first environmental mode.
5. The multivariate environment regulation method of claim 1, wherein in the multivariate database, the range of the value of each pre-regulation environment parameter value range combination is preset to a preset range, and the range of the value of each pre-regulation environment parameter is one of higher than the preset range, within the preset range, and lower than the preset range, and when the number of the pre-regulation environment parameters of each pre-regulation environment parameter value range combination is n, the number of the pre-regulation environment parameter value range combinations is 3n.
6. The multivariate environment regulation method of claim 1, wherein the processor compares a maximum value, a minimum value, a mean value, and a standard deviation of the range of values of each environmental parameter in the first combination of environmental parameter values ranges with a maximum value, a minimum value, a mean value, and a standard deviation of the range of values of each environmental parameter in the second combination of environmental parameter values ranges to determine whether the first combination of environmental parameter values ranges approaches any target combination of values compared to the second combination of environmental parameter values ranges.
7. The multivariate environment regulation method of claim 1, wherein the environmental control modes are executed by a environmental control device, and in the multivariate database, each set of pre-regulation environmental parameter values corresponds to the environmental control mode set according to the outdoor range of the pre-regulation environmental parameters, the effect of the environmental control device on the pre-regulation environmental parameters, the range of the pre-regulation environmental parameters values in the enclosed space, the corresponding set of target value ranges, and the size of the enclosed space.
8. The multivariate environmental regulation method of claim 7, wherein the plant comprises a plurality of environmental controllers, and each combination of target value ranges in the multivariate database is associated with the number of each environmental controller executed by the set of the environmental control modes.
9. The multivariate environmental regulation method of claim 1, wherein the multivariate database is established based on an environmental variation factor comprising at least one of a presence or absence of sunlight and a seasonal variation factor.
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| WO2019237203A1 (en) * | 2018-06-12 | 2019-12-19 | Paige Growth Technologies Inc. | Devices, systems and methods of identifying plants, plant material and plant state |
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