CN115220506A - Multipoint source cooling and heating control system based on Internet of things terminal - Google Patents
Multipoint source cooling and heating control system based on Internet of things terminal Download PDFInfo
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Abstract
The invention discloses a multipoint source cooling and heating control system based on an Internet of things terminal, which comprises a data acquisition module, a data analysis module and an environment control module, wherein the data acquisition module is used for acquiring greenhouse environment data, the data analysis module is used for analyzing the acquired data, the environment control module is used for intelligently controlling the environment in a greenhouse according to the analyzed data, the data analysis module is connected with the data acquisition module through a network, the environment control module is connected with the data analysis module through a network, the data acquisition module comprises a greenhouse storage database module, a distributed sensor module, an indoor environment factor acquisition module, an outdoor environment factor acquisition module and a data preprocessing module, and the environment early warning control module comprises an early warning grade division module, an intelligent control module and a visual display module.
Description
Technical Field
The invention relates to the technical field of temperature control, in particular to a multipoint source cooling and heating control system based on an internet of things terminal.
Background
After the innovation, china introduces a large number of greenhouse technologies from abroad, the development of agriculture in China is accelerated by the emergence of the greenhouse technologies, and the influence of external environment on the growth of crops is reduced. Although the greenhouse is popularized at present, external environmental factors can partially influence the greenhouse, especially in winter, the temperature and humidity requirements of vegetables and fruits out of season are high, the damage to the pests is easy to cause because no precautionary measures are taken in advance when extreme weather is met, and the quality is poor or even the yield is reduced. Compared with other environments, the influence of the temperature and the humidity of the greenhouse on crops is large, for example, under the environment of high temperature and high humidity, strawberry is easy to get bacterial wilt, or the multiplication of pests is accelerated; the low temperature may affect the metabolic rate of crops, and the strawberries are easily affected by powdery mildew, so that the yield of the crops is reduced. Although foreign equipment is introduced in China, the parameter setting of the control equipment is set according to the local environment, and the control equipment is not in accordance with the national conditions of China, so that the greenhouse environment process is long in time consumption, high in regulation and control cost and poor in achieved effect, and therefore, the multipoint source cooling and heating control system based on the internet of things terminal is necessary to be designed, and the regulation and control energy consumption is reduced and the temperature control performance is improved.
Disclosure of Invention
The invention aims to provide a multipoint source cooling and heating control system based on an internet of things terminal, and aims to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the multipoint source cooling and heating control system based on the internet of things terminal comprises a data acquisition module, a data analysis module and an environment control module, wherein the data acquisition module is used for acquiring greenhouse environment data, the data analysis module is used for analyzing the acquired data, the environment control module is used for intelligently controlling the environment in a greenhouse according to the analyzed data, the data analysis module is in network connection with the data acquisition module, and the environment control module is in network connection with the data analysis module.
According to the technical scheme, the data acquisition module comprises a greenhouse storage database module, a distributed sensor module, an indoor environment factor acquisition module, an outdoor environment factor acquisition module and a data preprocessing module, the greenhouse storage database module is used for storing acquired greenhouse environment data, the distributed sensor module is used for performing stationing acquisition on internal environment factors of a greenhouse, the indoor environment factor acquisition module is used for acquiring indoor environment factors, the outdoor environment factor acquisition module is used for acquiring outdoor environment factors, and the data preprocessing module is used for preprocessing the acquired data.
According to the technical scheme, the data analysis module comprises a correlation analysis module and a temperature and humidity prediction module, the correlation analysis module is used for analyzing the correlation degree between the collected environmental factors and the temperature and humidity, and the temperature and humidity prediction module is used for predicting the environmental temperature and humidity of the greenhouse.
According to the technical scheme, the environment early warning control module comprises an early warning grade dividing module, an intelligent control module and a visual display module, the early warning grade dividing module is used for carrying out grade division on the dangerous degree of crops in the greenhouse, which is generated due to the influence of temperature and humidity, the intelligent control module is used for carrying out intelligent control on the environment in the greenhouse according to analyzed data, the visual display module is used for displaying all monitoring, predicting and early warning processing data to a user, and the intelligent control module is connected with the early warning grade dividing module through a network.
According to the technical scheme, the operation method of the data acquisition module mainly comprises the following steps:
step S1: establishing a greenhouse storage database, and storing the collected greenhouse environment data information into the database;
step S2: the temperature and humidity sensor is arranged at a shading position which is close to the top of the greenhouse and keeps a good ventilation environment, and the illumination sensor is arranged in the middle of the greenhouse and at the same height as the leaves of the crops;
and step S3: downloading each monitoring data by each sensor through the monitoring equipment of the Internet of things, acquiring the data every hour, and storing the data in a database;
and step S4: acquiring outdoor environment factors in real time according to weather forecast, and predicting and storing the outdoor environment factors into a database;
step S5: preprocessing the collected greenhouse data, eliminating abnormal values, filling up null values and unifying data dimensions.
According to the technical scheme, the operation method of the data analysis module mainly comprises the following steps:
step A1: analyzing the correlation between each item of collected data and the temperature and humidity according to the environmental factors in the greenhouse collected by the data collection module;
step A2: carrying out correlation analysis on the temperature and the relative humidity in the greenhouse with the outdoor temperature, the outdoor humidity, the illumination intensity, the indoor air temperature at the last moment, the indoor air humidity at the last moment and the outdoor wind speed respectively through a Person correlation calculation formula;
step A3: and predicting the temperature and humidity in the greenhouse according to the environment parameters with higher correlation.
According to the above technical solution, the step A3 further comprises the steps of:
step A31: setting t as the current time, acquiring indoor environment factors at the time t and the time t-1 and outdoor environment factor data information at the time t +1, and analyzing the indoor temperature and humidity at the time t + 1;
step A32: the specific calculation formula of the indoor temperature at the time t +1 is as follows:
the specific calculation formula of the indoor temperature at the time t +1 is as follows:
step A33: and predicting the temperature and humidity change in the next period for the manager by taking one hour as the greenhouse environment change period, and visually displaying the temperature and humidity change on a user interface.
According to the technical scheme, the operation method of the environment control module mainly comprises the following steps:
step B1: combining the data of the future time and the data of the current time acquired by the temperature and humidity prediction module, judging the alarm condition according to the early warning rule, and sending early warning notice to managers in time;
and step B2: intelligently controlling the environment in the greenhouse according to the difference of the early warning grades and the proper temperature and humidity threshold value set in the greenhouse;
and step B3: and carrying out visual display on the user page by using indoor and outdoor environment data acquired in real time, analyzed data information, early warning conditions at each time and intelligent control operation conditions.
According to the above technical solution, the step B1 further comprises the steps of:
step B11: the optimum range of the temperature in the greenhouse is set as
The temperature range of the normal survival of the crops is
Or
The upper and lower limits of the normal survival temperature are respectively
And
the optimum range of humidity is
The humidity range of normal survival of the crops is
Or
The upper and lower limits of the humidity for normal survival are respectively
And
；
step B12:
and is
Judging that no early warning exists;
when in use
Or
Judging the early warning grade to be one grade based on the temperature; when in use
Or
Judging the early warning level to be one level based on the humidity;
when in use
Or
Based on temperature determinationThe alarm level is two levels; when the temperature is higher than the set temperature
Or
Judging the early warning level to be two levels based on the humidity;
when in use
Or
Judging the early warning grade to be three grades based on the temperature; when in use
Or
Judging the early warning level to be three levels based on the humidity;
the comprehensive early warning level determination is based on the highest early warning level based on the determination of temperature or humidity.
According to the above technical solution, the step B2 specifically comprises:
when the temperature of the greenhouse is lower than the set lower temperature limit and the comprehensive early warning level is three-level, closing all the ventilation openings, and opening the heating equipment to carry out indoor temperature rise; when the temperature of the greenhouse is higher than the set upper temperature limit and the comprehensive early warning level is three-level, opening all ventilation openings;
when the temperature and the humidity of the greenhouse are lower than the set temperature and humidity range for normal survival of crops and the comprehensive early warning level is the second level, all ventilation equipment is closed; when the temperature and the humidity of the greenhouse are higher than the set temperature and humidity range for normal survival of crops and the comprehensive early warning level is the second level, all ventilation equipment is opened;
when the temperature and the humidity of the greenhouse are lower than the set temperature and humidity suitable range and the comprehensive early warning level is first level, closing most of the ventilation openings; when the temperature and the humidity of the greenhouse are higher than the set temperature and humidity suitable range and the comprehensive early warning level is the first level, most of the ventilation openings are opened.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the data acquisition module, the data analysis module and the environment control module are arranged to acquire environment data inside and outside the greenhouse, analyze the correlation between each item of data and temperature and humidity, predict the temperature and humidity inside the greenhouse in the next time period according to the difference of correlation degrees, grade the early warning of the crop environment in the greenhouse according to the requirements of the crop growth environment and the predicted temperature and humidity, and regulate and control the environmental temperature and humidity in a graded manner one time period in advance according to the difference of grade division, so that the normal growth of crops is ensured, and the regulation and control performance of the greenhouse and the production efficiency of the crops are improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram of the system module composition of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a multipoint source cooling and heating control system based on an internet of things terminal comprises a data acquisition module, a data analysis module and an environment control module, wherein the data acquisition module is used for acquiring greenhouse environment data, the data analysis module is used for analyzing the acquired data, the environment control module is used for intelligently controlling the environment in a greenhouse according to the analyzed data, the data analysis module is connected with the data acquisition module through a network, the environment control module is connected with the data analysis module through the network, the data acquisition module, the data analysis module and the environment control module are arranged to acquire the environment data inside and outside the greenhouse and analyze the correlation between various data and the temperature and humidity, the temperature and the humidity inside the greenhouse in the next time period are predicted according to the difference of the correlation degree, the crop environment early warning in the greenhouse is graded according to the crop growth environment requirements and the predicted temperature and humidity, the environmental temperature and humidity are regulated in a graded according to the difference of grading, the normal growth of crops is guaranteed, and the greenhouse regulation performance and the crop production efficiency are improved.
The data acquisition module includes greenhouse storage database module, distributed sensor module, indoor environmental factor collection module, outdoor environmental factor acquires module and data preprocessing module, greenhouse storage database module is used for saving the greenhouse environmental data of gathering, distributed sensor module is used for carrying out the stationing collection to the inside environmental factor of greenhouse, indoor environmental factor collection module is used for gathering indoor environmental factor, outdoor environmental factor acquires the module and is used for acquireing outdoor environmental factor, environmental factor includes outdoor temperature, outdoor humidity, illumination intensity, last moment indoor air temperature, last moment indoor air humidity and outdoor wind speed, data preprocessing module is used for carrying out the preliminary treatment to the data of gathering.
The data analysis module comprises a correlation analysis module and a temperature and humidity prediction module, the correlation analysis module is used for analyzing the correlation degree of the collected environmental factors and the temperature and humidity, and the temperature and humidity prediction module is used for predicting the environmental temperature and humidity of the greenhouse.
The environment early warning control module comprises an early warning grading module, an intelligent control module and a visual display module, the early warning grading module is used for grading dangerous degrees generated by temperature and humidity of crops in the greenhouse, the intelligent control module is used for intelligently controlling the environment in the greenhouse according to analyzed data, the visual display module is used for displaying all monitoring, predicting and early warning processing data to a user, and the intelligent control module is connected with the early warning grading module through a network.
The operation method of the data acquisition module mainly comprises the following steps:
step S1: establishing a greenhouse storage database, and storing the collected greenhouse environment data information into the database;
step S2: the temperature and humidity sensor is arranged at a shading position close to the top of the greenhouse, a good ventilation environment is kept, inaccurate data caused by local factors are reduced, the position of the illumination sensor is arranged in the middle of the greenhouse and at the same height as leaves of crops, and the average illumination of all the crops in the greenhouse is considered;
and step S3: each sensor downloads each monitoring data through the monitoring equipment of the Internet of things, collects the data once every hour, stores the data in a database, and can check and acquire each historical data at any time to analyze the data;
and step S4: acquiring outdoor environment factors including outdoor temperature, humidity and wind speed in real time according to weather forecast, and predicting and storing the outdoor environment factors into a database;
step S5: the method comprises the steps of preprocessing collected greenhouse data, eliminating abnormal values, wherein the abnormal values in the collected data in the greenhouse have the characteristics of small quantity and burst, for the greenhouse without a light supplement system, if the illumination data are large at night, the abnormal values are considered to be abnormal values, the quantity in the greenhouse is large, the illumination data, the temperature data and the like approximately follow normal distribution, after outlier data are analyzed, the abnormal values generated due to equipment and recording errors are eliminated after the reasons for generating the data are determined, the completeness of data time reference and time interval is guaranteed to be completed by interpolation, null values are filled, in the data collection process, the collected data set has null values due to burst abnormality of collection equipment, data transmission errors or recording information program errors, the values are called missing data, data can be filled by adopting a front-back adjacent filling algorithm, data dimension is unified, and due to the fact that the difference of measurement units among a plurality of factors is large, normalization processing is needed, and the influence of different dimensions on greenhouse data analysis is eliminated.
The operation method of the data analysis module mainly comprises the following steps:
step A1: analyzing the correlation between each item of collected data and the temperature and humidity according to the environmental factors in the greenhouse collected by the data collection module, namely whether the data are the influence factors of the temperature and humidity;
step A2: carrying out correlation analysis on the temperature and the relative humidity in the greenhouse and the outdoor temperature, the outdoor humidity, the illumination intensity, the indoor air temperature at the last moment, the indoor air humidity at the last moment and the outdoor wind speed respectively through a Person correlation calculation formula, and specifically calculating as follows:
in the formula (I), the reaction is carried out,
and
for the sample average, set the correlation coefficient threshold to
When is coming into contact with
When the temperature and the humidity in the greenhouse are closely related, the environmental factor is judged to be closely related to the temperature and the humidity in the greenhouse, the environmental factor can be used as an influence factor to be calculated in the prediction process, otherwise, the numerical value is not counted in the calculation range, and the value is 0;
step A3: and predicting the temperature and humidity in the greenhouse according to the environment parameters with higher correlation, providing the change of the temperature in the greenhouse in the next day for a manager of the greenhouse, and providing decision suggestions by taking adjustment measures in time.
Step A3 further comprises the steps of:
step A31: setting t as the current time, acquiring indoor environment factors at the time t and the time t-1 and outdoor environment factor data information at the time t +1, and analyzing the indoor temperature and humidity at the time t + 1;
step A32: the specific calculation formula of the indoor temperature at the time t +1 is as follows:
in the formula (I), the compound is shown in the specification,
for the predicted indoor temperature at time t +1,
is the indoor temperature at the present moment,
the indoor temperature change in the previous time period is shown, V is an outdoor wind speed value, L is an illumination intensity value, T _ (outer T + 1) is the acquired outdoor temperature at the T +1 moment, a, b and c are weighted values of the outdoor wind speed, the illumination intensity and the outdoor temperature at the current moment which are influenced by the magnitude of a correlation coefficient respectively, the weight is higher when the correlation coefficient is larger, and a + b + c =1;
the specific calculation formula of the indoor temperature at the time t +1 is as follows:
in the formula (I), the compound is shown in the specification,
for the predicted indoor humidity at time t +1,
is the indoor humidity at the present moment in time,
is the indoor humidity change in the last time period, V is the outdoor wind speed value, L is the illumination intensity value,
for the obtained outdoor humidity at the time t +1, d, e and f are weighted values of the outdoor wind speed, the illumination intensity and the outdoor humidity at the current time which are influenced by the magnitude of the correlation coefficient, and the more the correlation coefficient is, the more the outdoor humidity at the current time isLarge the higher the weight, and d + e + f =1;
step A33: and predicting the temperature and humidity change in the next period for the manager by taking one hour as the greenhouse environment change period, and visually displaying the temperature and humidity change on a user interface.
The operation method of the environment control module mainly comprises the following steps:
step B1: the method comprises the steps that data of a future moment acquired by a temperature and humidity prediction module are combined with data of a current moment, a traditional early warning method is mainly characterized in that a threshold range is set according to the data collected by a sensor, when the temperature is lower than a lower threshold limit or higher than an upper temperature threshold limit, warning is started, no obvious grading exists for early warning in a greenhouse, and the humidity warning method is also the same, but the greenhouse is a system with large lag, large inertia and dynamic change, so that the probability of error reporting and misinformation is greatly increased, great influence is generated on control of the greenhouse, the energy consumption for greenhouse control is increased, and a good control effect cannot be achieved, so that the early warning condition is judged according to the combination of the prediction data and the current data, the number of error reporting times can be reduced, the accuracy of early warning is improved, the warning condition is judged according to early warning rules, early warning notifications are timely sent to managers, requirements of different crops on the temperature and humidity during different stages of a growth period and day and night change are different, and therefore the early warning index of the greenhouse is the temperature and humidity of the crops;
and step B2: intelligently controlling the environment in the greenhouse according to the difference of the early warning grades and the proper temperature and humidity threshold value set in the greenhouse;
and step B3: the real-time collected indoor and outdoor environmental data, the analyzed data information, the early warning condition at each time and the intelligent control operation condition are visually displayed on a user page, and a user can observe the growth state of crops and early warning problems in real time.
Step B1 further comprises the steps of:
step B11: the optimum range of the temperature in the greenhouse is set as
The temperature range of normal survival of the crops is
Or 2 [ 2 ]
，
]The upper and lower limits of the normal survival temperature are respectively
And
the optimum range of humidity is [ [ 2 ] ]
，
]The humidity range of normal survival of the crops is [ solution ]
，
]Or 2 [ 2 ]
，
]The upper and lower limits of the humidity for normal survival are respectively
And
；
step B12: when in use
And is
Judging that no early warning exists, and judging that the environment in the greenhouse is suitable for the growth of crops and no early warning exists;
when in use
Or 2 [ 2 ]
，
]Judging the early warning grade to be one grade based on the temperature; when in use
Judging that the early warning level is first grade based on humidity, the greenhouse environment parameters reach suitable upper and lower limits, and the growth and development of crops become slow;
when the temperature is higher than the set temperature
[
，
]Or [ 2 ]
，
]Judging the early warning grade to be two grades based on the temperature; when in use
Judging the early warning level to be two levels based on the humidity, wherein the greenhouse environment parameters reach the upper limit and the lower limit of normal survival of crops, and the damage of diseases and insects is generated;
when in use
Or
Judging the early warning grade to be three grades based on the temperature; when the temperature is higher than the set temperature
Or
Judging that the early warning level is three levels based on the humidity, wherein the greenhouse environment parameters exceed the upper limit and the lower limit of normal survival of crops, and the crops do not grow and die;
the comprehensive early warning grade judgment takes the highest early warning grade judged based on the temperature or the humidity as a standard, namely, if the early warning grade is judged to be the second grade based on the temperature, the early warning grade is judged to be the first grade based on the humidity, and the final early warning grade is the second grade.
The step B2 specifically comprises the following steps:
when the temperature of the greenhouse is lower than the set lower temperature limit and the comprehensive early warning level is three-level, the greenhouse environment needs to be greatly heated, all ventilation openings are closed, and heating equipment is opened to carry out indoor heating; when the temperature of the greenhouse is higher than the set upper temperature limit and the comprehensive early warning level is three-level, opening all the ventilation openings to accelerate the temperature reduction in the greenhouse;
when the temperature and the humidity of the greenhouse are lower than the set temperature and humidity range in which crops normally live and the comprehensive early warning level is in the second level, all ventilation equipment is closed so as to reduce the temperature and humidity loss caused by ventilation; when the temperature and the humidity of the greenhouse are higher than the set temperature and humidity range for normal survival of crops and the comprehensive early warning level is the second level, all ventilation equipment is opened;
when the temperature and the humidity of the greenhouse are lower than the set temperature and humidity suitable range and the comprehensive early warning level is first level, closing most of the ventilation openings to reduce the loss of the temperature and the humidity; when the temperature and the humidity of the greenhouse are higher than the set temperature and humidity suitable range and the comprehensive early warning level is the first level, most of the ventilation openings are opened.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. The utility model provides a multiple spot source changes in temperature control system based on thing networking terminal, includes data acquisition module, data analysis module and environmental control module, its characterized in that: the greenhouse environment intelligent control system comprises a data acquisition module, a data analysis module, an environment control module, a data analysis module and a data analysis module, wherein the data acquisition module is used for acquiring greenhouse environment data, the data analysis module is used for analyzing the acquired data, the environment control module is used for intelligently controlling the environment in a greenhouse according to the analyzed data, the data analysis module is connected with the data acquisition module through a network, and the environment control module is connected with the data analysis module through a network;
the greenhouse environment factor acquisition system is characterized in that the data acquisition module comprises a greenhouse storage database module, a distributed sensor module, an indoor environment factor acquisition module, an outdoor environment factor acquisition module and a data preprocessing module, the greenhouse storage database module is used for storing acquired greenhouse environment data, the distributed sensor module is used for stationing and acquiring greenhouse internal environment factors, the indoor environment factor acquisition module is used for acquiring the indoor environment factors, the outdoor environment factor acquisition module is used for acquiring the outdoor environment factors, and the data preprocessing module is used for preprocessing the acquired data.
2. The multipoint source cooling and heating control system based on the terminal of the internet of things according to claim 1, characterized in that: the data analysis module comprises a correlation analysis module and a temperature and humidity prediction module, the correlation analysis module is used for analyzing the correlation degree of the collected environmental factors and the temperature and humidity, and the temperature and humidity prediction module is used for predicting the environmental temperature and humidity of the greenhouse.
3. The multi-point source cooling and heating control system based on the internet of things terminal as claimed in claim 2, wherein: the environment early warning control module comprises an early warning grade division module, an intelligent control module and a visual display module, the early warning grade division module is used for carrying out grade division on the dangerous degree generated by the influence of temperature and humidity on crops in the greenhouse, the intelligent control module is used for carrying out intelligent control on the environment in the greenhouse according to analyzed data, the visual display module is used for displaying all monitoring, predicting and early warning processing data to a user, and the intelligent control module is connected with the early warning grade division module through a network.
4. The multi-point source cooling and heating control system based on the terminal of the internet of things as claimed in claim 3, wherein: the operation method of the data acquisition module mainly comprises the following steps:
step S1: establishing a greenhouse storage database, and storing the collected greenhouse environment data information into the database;
step S2: the temperature and humidity sensor is arranged at a shading position which is close to the top of the greenhouse and keeps a good ventilation environment, and the illumination sensor is arranged in the middle of the greenhouse and at the same height as the leaves of the crops;
and step S3: downloading each monitoring data by each sensor through the monitoring equipment of the Internet of things, acquiring the data every hour, and storing the data in a database;
and step S4: acquiring outdoor environmental factors in real time according to weather forecast, predicting the outdoor environmental factors and storing the outdoor environmental factors into a database;
step S5: preprocessing the collected greenhouse data, eliminating abnormal values, filling up null values and unifying data dimensions.
5. The multipoint source cooling and heating control system based on the terminal of the internet of things as claimed in claim 4, wherein: the operation method of the data analysis module mainly comprises the following steps:
step A1: analyzing the correlation between each item of collected data and the temperature and humidity according to the environmental factors in the greenhouse collected by the data collection module;
step A2: carrying out correlation analysis on the temperature and the relative humidity in the greenhouse with the outdoor temperature, the outdoor humidity, the illumination intensity, the indoor air temperature at the last moment, the indoor air humidity at the last moment and the outdoor wind speed respectively through a Person correlation calculation formula;
step A3: and predicting the temperature and humidity in the greenhouse according to the environment parameters with higher correlation.
6. The multipoint source cooling and heating control system based on the terminal of the internet of things as claimed in claim 5, wherein: the step A3 further comprises the steps of:
step A31: is provided with
For the current time, obtain
Time of day and
time of dayAn indoor environmental factor, and
time outdoor environment factor data information, analysis
Indoor temperature and humidity at any moment;
step A32: in particular to
The indoor temperature at the moment is calculated by the formula:
in particular to
The indoor temperature at the moment is calculated according to the formula:
step A33: and predicting the temperature and humidity change in the next period for the manager by taking one hour as the greenhouse environment change period, and visually displaying the temperature and humidity change on a user interface.
7. The multi-point source cooling and heating control system based on the terminal of the internet of things as claimed in claim 6, wherein: the operation method of the environment control module mainly comprises the following steps:
step B1: combining the data of the future time and the data of the current time acquired by the temperature and humidity prediction module, judging the alarm condition according to the early warning rule, and sending early warning notice to managers in time;
and step B2: intelligently controlling the environment in the greenhouse according to the difference of the early warning grades and the proper temperature and humidity threshold value set in the greenhouse;
and step B3: and carrying out visual display on the user page on the indoor and outdoor environmental data acquired in real time, the analyzed data information, the early warning condition at each time and the intelligent control operation condition.
8. The multi-point source cooling and heating control system based on the internet of things terminal as claimed in claim 7, wherein: the step B1 further comprises the following steps:
step B11: the optimum range of the temperature in the greenhouse is set as
The temperature range of normal survival of the crops is
Or [ 2 ]
，
]The upper and lower limits of the normal survival temperature are respectively
And
the optimum range of humidity is [ [ 2 ] ]
，
]The humidity range of the normal survival of the crop is [ 2 ]
，
]Or [ 2 ]
，
]The upper and lower limits of the humidity for normal survival are respectively
And
；
step B12: when the temperature is higher than the set temperature
And is provided with
Judging that no early warning exists;
when the temperature is higher than the set temperature
<xnotran> [ </xnotran>
，
]Judging the early warning grade to be one grade based on the temperature; when the temperature is higher than the set temperature
Judging the early warning level to be one level based on the humidity;
when in use
[
，
]<xnotran> [ </xnotran>
，
]Judging the early warning grade to be two grades based on the temperature; when in use
Judging the early warning level to be two levels based on the humidity;
when in use
Or
Judging the early warning grade to be three grades based on the temperature; when the temperature is higher than the set temperature
Or
Judging the early warning level to be three levels based on the humidity;
the comprehensive warning level determination is based on the highest warning level based on the determination of temperature or humidity.
9. The multi-point source cooling and heating control system based on the internet of things terminal as claimed in claim 8, wherein: the step B2 specifically comprises the following steps:
when the temperature of the greenhouse is lower than the set lower temperature limit and the comprehensive early warning level is three-level, closing all the ventilation openings, and opening the heating equipment to carry out indoor temperature rise; when the temperature of the greenhouse is higher than the set upper temperature limit and the comprehensive early warning level is three-level, opening all ventilation openings;
when the temperature and the humidity of the greenhouse are lower than the set temperature and humidity range for normal survival of crops and the comprehensive early warning level is in the second level, closing all ventilation equipment; when the temperature and the humidity of the greenhouse are higher than the set temperature and humidity range for normal survival of crops and the comprehensive early warning level is in the second level, all ventilation equipment is opened;
when the temperature and the humidity of the greenhouse are lower than the set temperature and humidity suitable range and the comprehensive early warning level is one level, closing most of the ventilation openings; when the temperature and the humidity of the greenhouse are higher than the set temperature and humidity suitable range and the comprehensive early warning level is one level, the number of most ventilation openings is opened.
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