A greenhouse environment control method and system based on crop growth cycle

Abstract

The present invention discloses a greenhouse environment control method and system based on the crop growth cycle, which specifically relates to the field of environmental control technology; based on the ecological variable data in the greenhouse, the potential imbalance degree of the ecological variables is evaluated; by analyzing the spatial uniformity of the internal development indicators of the crop group and the ecological variables, the influence of the greenhouse environment on the yield of the crop group is evaluated. According to the imbalance degree of the ecological variables and the influence degree of the greenhouse environment on the group yield, the control state of the greenhouse environment is judged. When the control state is an abnormal interference state, the adaptability of the dynamic parameters of the crop canopy and the root environment is analyzed, the comprehensive support capacity of the greenhouse environment is evaluated, and the abnormal degree of light control is evaluated in combination with the influence of the spectral transmittance of the covering material. Through comprehensive analysis of multiple indicators, the potential risk index is calculated, and it is judged whether environmental control is needed, the ecological environment in the greenhouse can be dynamically optimized, the yield of crop growth can be increased, and efficient management and precise control can be achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental regulation, and more specifically, to a greenhouse environmental regulation method and system based on crop growth cycles. Background Art

[0002] Existing greenhouse environmental control methods are mainly based on single parameter control. When the environmental requirements of crops change dynamically at different stages of growth, single parameter control can easily lead to imbalances between ecological variables, thus affecting crop growth efficiency, population yield and quality. Traditional methods usually ignore the spatial distribution characteristics of environmental parameters in greenhouses. Uneven distribution may lead to reduced synchronization of crop growth and affect the overall yield of the population.

[0003] Existing greenhouse environmental control methods lack in-depth analysis of complex environmental factors, making it difficult to identify potential abnormal factors and risk sources in environmental control, resulting in insufficient scientificity and accuracy of control plans. In addition, when dealing with abnormal interference, there is a lack of systematic evaluation and comprehensive analysis methods, making it difficult to optimize control plans in a timely manner to ensure healthy crop growth.

[0004] In order to solve the above problems, a technical solution is now provided. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide a greenhouse environment control method and system based on the crop growth cycle to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A greenhouse environment control method based on crop growth cycle comprises the following steps:

[0008] According to the physiological needs of crops at different growth stages, the potential imbalance of ecological variables in the greenhouse is assessed by collecting ecological variables in the greenhouse;

[0009] Compare the distribution characteristics of developmental indicators and ecological variables within crop populations, analyze the impact of spatial uniformity of ecological variables on crop growth synchronization, and evaluate the potential impact of greenhouse environment on crop population yields;

[0010] According to the potential imbalance of ecological variables in the greenhouse and the potential impact of the greenhouse environment on the yield of crop groups, the regulation state of the greenhouse environment is judged. The regulation state of the greenhouse environment includes normal operation state and abnormal interference state.

[0011] When the regulation state of the greenhouse environment is in an abnormal interference state, the comprehensive support ability of the greenhouse environment for crop growth is evaluated by analyzing the adaptability between the dynamic parameters of the crop canopy and the root environment; the abnormal degree of the influence of light regulation on crop growth is evaluated by analyzing the influence of the greenhouse covering material on the spectral transmittance.

[0012] The potential imbalance degree of the ecological variables in the greenhouse, the comprehensive support ability of the greenhouse environment for crop growth, and the abnormal degree of the influence of light regulation on crop growth are comprehensively analyzed to evaluate the potential risk of the greenhouse environment to crop growth and determine whether greenhouse environment regulation is needed.

[0013] In a preferred embodiment, according to the physiological requirements of different growth stages of the crop, the potential imbalance degree of the ecological variables in the greenhouse is evaluated by collecting the ecological variables in the greenhouse, specifically:

[0014] Divide the stages according to the crop growth cycle and extract the corresponding range of physiological requirement parameters;

[0015] Collect multi-source ecological variable data in the greenhouse, and calculate the deviation value between the physiological requirement parameters and the current state based on the ecological variable data;

[0016] Define the ecological variable balance index, and the expression is: ; where is the ecological variable balance index; is the total number of all collected ecological variables in the greenhouse; is the ecological variable deviation value; is the ecological variable current value; and are respectively the lower and upper limits of the target parameters corresponding to the physiological requirements of the ecological variable .

[0017] In a preferred embodiment, by comparing the internal development indexes of the crop population and the distribution characteristics of ecological variables, the influence of the spatial uniformity of ecological variables on the growth synchrony of crops is analyzed to evaluate the potential influence degree of the greenhouse environment on the crop population yield, specifically:

[0018] Through sensors and image analysis technology, the development indexes of the crop population are collected in real time;

[0019] Through the sensor network, the spatial distribution characteristics of ecological variables in the greenhouse are monitored;

[0020] Calculate the spatial uniformity index to quantify the spatial uniformity of ecological variables in the greenhouse;

[0021] Combined with the results of spatial uniformity analysis, a potential impact index is defined to evaluate the potential impact of greenhouse environment on crop population yield. The expression is: ;in, is the potential impact index; For the crop Developmental indicators and The rate of change of the strength of association of the ecological variables; , is the weight factor; Indicates the time point and time period when changes in various ecological variables and crop development indicators in the greenhouse environment are monitored; is the spatial uniformity index of ecological variables.

[0022] In a preferred embodiment, the regulation state of the greenhouse environment is judged according to the potential imbalance degree of ecological variables in the greenhouse and the potential impact degree of the greenhouse environment on the yield of the crop population. The regulation state of the greenhouse environment includes a normal operating state and an abnormal interference state, specifically:

[0023] Preset the ecological variable balance index threshold, and compare the ecological variable balance index with the ecological variable balance index threshold:

[0024] When the ecological variable balance index is less than or equal to the ecological variable balance index threshold, the greenhouse environment regulation state is a normal operating state;

[0025] Preset the potential impact index threshold, and compare the potential impact index with the potential impact index threshold:

[0026] When the potential impact index is less than or equal to the potential impact index threshold, the greenhouse environment control state is a normal operating state;

[0027] When the ecological variable balance index is less than or equal to the ecological variable balance index threshold, and the potential impact index is less than or equal to the potential impact index threshold, the regulation state of the greenhouse environment is a normal operating state; except for the cases where the ecological variable balance index is less than or equal to the ecological variable balance index threshold, and the potential impact index is less than or equal to the potential impact index threshold, the regulation state of the greenhouse environment is an abnormal interference state.

[0028] In a preferred embodiment, the comprehensive support capacity of the greenhouse environment for crop growth is evaluated by analyzing the compatibility between the dynamic parameters of the crop canopy and the root environment, specifically:

[0029] Determine the key environmental parameters of crop canopies and root systems and the suitability evaluation criteria;

[0030] The dynamic parameter data of the canopy environment and the root system environment are collected. Based on the canopy environment data and the root system environment data, the compatibility index between the canopy and the root system is calculated by analyzing the correlation between each group of parameters. The calculation formula of the compatibility index is: ;

[0031] in, is the adaptability index; For the canopy environmental parameter values; For the Root system environmental parameter values; For the target values ​​for canopy environmental parameters; For the Target values ​​of root environment parameters; For the The canopy environmental parameters and The association weights between the root environment parameters; , represent the total number of canopy and root environment parameters, respectively.

[0032] In a preferred embodiment, the abnormal degree of the effect of light regulation on crop growth is evaluated by analyzing the effect of greenhouse covering materials on spectral transmittance, specifically:

[0033] Install spectral analysis equipment on the top and sides of the greenhouse structure to collect the spectral transmittance of the covering material in different wavelength ranges;

[0034] Correlation analysis was performed between the spectral transmittance data of covering materials and the light response data of crops, and a model of the impact of spectral transmittance on the light response of crops was constructed;

[0035] Define the light regulation abnormality index, the expression is: ;

[0036] in, is the light regulation abnormality index; is the adaptation index of spectral transmittance to light response; is the ideal fit index; , is the range of the spectrum.

[0037] In a preferred embodiment, the potential imbalance degree of ecological variables in the greenhouse, the comprehensive support capacity of the greenhouse environment for crop growth, and the abnormal degree of the effect of light regulation on crop growth are comprehensively analyzed to evaluate the potential risk of the greenhouse environment to crop growth and determine whether greenhouse environment regulation is needed, specifically:

[0038] The ecological variable balance index corresponding to the potential imbalance degree of ecological variables in the greenhouse, the adaptability index corresponding to the comprehensive support capacity of the greenhouse environment for crop growth, and the light regulation anomaly index corresponding to the abnormal degree of the influence of light regulation on crop growth are normalized. The ecological variable balance index, adaptability index and light regulation anomaly index obtained after normalization are calculated to obtain the potential risk index. The calculation formula of the potential risk index is: ;

[0039] in, is the potential risk index; is the light regulation abnormality index; is the adaptability index; is the ecological variable balance index; The power adjustment parameter for the potential risk index; , , , are the weight coefficients of ecological variable balance index, adaptability index and light regulation abnormality index respectively; is the adjustment factor of the adaptability index;

[0040] Preset a potential risk index threshold and compare the potential risk index with the potential risk index threshold:

[0041] When the potential risk index is less than the potential risk index threshold, greenhouse environment control is not required.

[0042] When the potential risk index is greater than or equal to the preset potential risk index threshold, greenhouse environment control is required.

[0043] On the other hand, the present invention provides a greenhouse environment control system based on the crop growth cycle, including: an imbalance degree assessment module, a yield impact assessment module, a control state judgment module, a support capability assessment module, an abnormality degree assessment module and a potential risk assessment module;

[0044] Imbalance degree assessment module: Based on the physiological needs of crops at different growth stages, the potential imbalance degree of ecological variables in the greenhouse is assessed by collecting ecological variables in the greenhouse;

[0045] Yield impact assessment module: Compare the internal development indicators of crop groups and the distribution characteristics of ecological variables, analyze the impact of the spatial uniformity of ecological variables on the synchronization of crop growth, and assess the potential impact of greenhouse environment on crop group yield;

[0046] Regulation status judgment module: judges the regulation status of the greenhouse environment according to the potential imbalance degree of ecological variables in the greenhouse and the potential impact degree of the greenhouse environment on the yield of the crop group. The regulation status of the greenhouse environment includes normal operation status and abnormal interference status;

[0047] When the greenhouse environment is in an abnormal interference state, the support capacity assessment module: evaluates the comprehensive support capacity of the greenhouse environment for crop growth by analyzing the adaptability between the dynamic parameters of the crop canopy and the root environment; the abnormal degree assessment module: evaluates the abnormal degree of the effect of light regulation on crop growth by analyzing the effect of greenhouse covering materials on spectral transmittance;

[0048] Potential risk assessment module: Comprehensively analyze the potential imbalance of ecological variables in the greenhouse, the comprehensive support capacity of the greenhouse environment for crop growth, and the abnormal degree of light regulation on crop growth, evaluate the potential risks of the greenhouse environment to crop growth, and determine whether greenhouse environment regulation is needed.

[0049] The technical effects and advantages of the greenhouse environment control method and system based on the crop growth cycle of the present invention are as follows:

[0050] 1. By collecting ecological variables and evaluating the potential imbalance, the deviation trend of greenhouse environmental parameters is adjusted in advance to provide more stable growth conditions for crops. By analyzing the uniformity of crop population development indicators and the spatial distribution of ecological variables, the potential impact of ecological variables on crop population yields is effectively evaluated, and the regulation state of the greenhouse environment is determined by combining the potential imbalance of ecological variables in the greenhouse. Under abnormal interference conditions, the adaptability of the canopy and the root system, and the influence of spectral transmittance on light regulation are analyzed, and the comprehensive support capacity of the greenhouse environment for crop growth and the abnormal degree of light regulation are quantified.

[0051] 2. Combine multiple evaluation indicators to generate a potential risk index to evaluate the potential risks of greenhouse environment to crop growth, provide a scientific basis for greenhouse regulation, improve the intelligence and precision of greenhouse environment regulation, effectively reduce the negative impact of environmental abnormalities on crop growth, and ensure efficient and stable growth of crops and rational use of greenhouse resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a schematic diagram of a greenhouse environment control method based on crop growth cycle of the present invention;

[0053] Figure 2 The present invention is a schematic structural diagram of a greenhouse environment control system based on crop growth cycle. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] Embodiment 1, Figure 1 The present invention provides a greenhouse environment control method based on the crop growth cycle, which comprises the following steps:

[0056] According to the physiological needs of crops at different growth stages, the potential imbalance of ecological variables in the greenhouse is assessed by collecting ecological variables in the greenhouse;

[0057] Compare the distribution characteristics of developmental indicators and ecological variables within crop populations, analyze the impact of spatial uniformity of ecological variables on crop growth synchronization, and evaluate the potential impact of greenhouse environment on crop population yields;

[0058] According to the potential imbalance of ecological variables in the greenhouse and the potential impact of the greenhouse environment on the yield of crop groups, the regulation state of the greenhouse environment is judged. The regulation state of the greenhouse environment includes normal operation state and abnormal interference state.

[0059] When the greenhouse environment is in an abnormal interference state, the comprehensive support capacity of the greenhouse environment for crop growth is evaluated by analyzing the adaptability between the dynamic parameters of the crop canopy and the root environment; the abnormal degree of the effect of light regulation on crop growth is evaluated by analyzing the effect of greenhouse covering materials on spectral transmittance;

[0060] A comprehensive analysis is conducted on the potential imbalance of ecological variables in the greenhouse, the comprehensive support capacity of the greenhouse environment for crop growth, and the abnormal degree of the impact of light regulation on crop growth to evaluate the potential risks of the greenhouse environment to crop growth and determine whether greenhouse environment regulation is needed.

[0061] According to the physiological needs of crops at different growth stages, the potential imbalance of ecological variables in the greenhouse is evaluated by collecting ecological variables in the greenhouse, specifically:

[0062] Divide the crop growth cycle into stages and extract the corresponding physiological requirement parameter range: In a greenhouse environment, different crops have specific physiological requirements at different growth stages. These physiological requirements usually include ecological variables such as suitable temperature range, humidity level, light intensity, carbon dioxide concentration, and soil moisture content. By obtaining the growth stage information of the target crop (such as seedling stage, growth stage, flowering stage, fruiting stage, maturity stage, and harvesting stage), the physiological requirement parameter range of the corresponding growth stage is extracted from the crop database and defined as the target parameter range. The requirement parameter range of the crop growth stage needs to be obtained through literature research, experimental observation and agronomic standards. Different crops have different sensitivities to environmental variables at different growth stages, and the target range (such as optimal temperature and humidity range, light radiation value) needs to be determined. The target parameter range includes the lower limit and upper limit of a certain ecological variable of the target crop at a certain growth stage.

[0063] Collect multi-source ecological variable data in the greenhouse: a sensor network is arranged in the greenhouse, and each sensor is installed in a different spatial position (such as near the ground, canopy area and around the roots) to monitor greenhouse ecological variables in real time, including temperature, humidity, light intensity, carbon dioxide concentration, soil moisture content, etc. The collected data is marked by time and spatial location, and the variable data at each location is recorded in the form of time series to ensure the accuracy and timeliness of the collected data.

[0064] Based on the ecological variable data, calculate the deviation value between the physiological requirement parameters and the current state: By comparing the current ecological variable data with the physiological requirement parameters of the target crop growth stage, calculate the deviation value of each ecological variable to identify the gap between the greenhouse environment and the target parameter range.

[0065] The calculation formula of the deviation value is: ;

[0066] in, Ecological variables At the point in time Deviation value of Ecological variables The current value of , Ecological variables The lower and upper limits of target parameters corresponding to physiological needs.

[0067] when When , it means that the ecological variables have exceeded the target range, which may lead to abnormal crop growth; when When , it indicates that the ecological variables are within the target range and the status is stable.

[0068] Define the ecological variable balance index and evaluate the potential imbalance degree: Through the deviation values ​​of all ecological variables, the ecological variable balance index is comprehensively generated to evaluate the potential imbalance degree of ecological variables in the greenhouse. Define the ecological variable balance index, the expression is: ;in, is the ecological variable balance index; is the total number of all ecological variables collected in the greenhouse; Ecological variables Deviation value; Ecological variables The current value of , Ecological variables The lower and upper limits of target parameters corresponding to physiological needs.

[0069] The larger the ecological variable balance index is, the greater the deviation between the ecological variables in the greenhouse environment and the physiological needs of the target crop during the growth stage, and the overall balance of the greenhouse environment is poor. A larger ecological variable balance index indicates that the real-time values ​​of key ecological variables deviate from the target range, which may cause the crops to fail to develop normally under optimal growth conditions. This imbalance may have a negative impact on the growth rate, yield quality and disease resistance of crops. Especially when the ecological variable balance index is too large, the degree of imbalance is more serious, and immediate regulatory measures may be required, such as adjusting ventilation equipment to control temperature and humidity, or adjusting the irrigation system to restore soil moisture balance. If the ecological variable balance index is small, it means that the greenhouse environmental parameters are basically within the target range, the greenhouse environment operates smoothly, and it is conducive to the healthy growth of crops. The ecological variable balance index is a key reference indicator for evaluating the state of the greenhouse environment. It is used to promptly discover potential problems and conduct scientific regulation to ensure that crops grow under optimal conditions.

[0070] By comparing the distribution characteristics of developmental indicators and ecological variables within crop populations, the impact of spatial uniformity of ecological variables on crop growth synchronization was analyzed, and the potential impact of greenhouse environment on crop population yield was evaluated, specifically:

[0071] Collect crop development indicators. Through sensors and image analysis technology, real-time collection of crop group development indicators, such as height, leaf area and stem thickness, is carried out by arranging cameras and sensor networks in the greenhouse to conduct multi-dimensional monitoring of crop group development characteristics.

[0072] Monitoring scope: Select representative areas as sample collection points to ensure coverage of the canopy, root zone and mid-layer areas of the crop population and reduce monitoring blind areas.

[0073] The following key developmental indicators were collected:

[0074] Height: The vertical height of the plant from the root to the top is collected by a laser rangefinder.

[0075] Leaf area: Use image processing algorithms to calculate the leaf area of ​​a single crop plant.

[0076] Stem diameter: Use image processing algorithms to calculate the change in stem diameter.

[0077] All data were recorded over time to form a development indicator matrix.

[0078] Monitor the spatial distribution of ecological variables. Through the sensor network, monitor the spatial distribution characteristics of ecological variables such as temperature, humidity, and light intensity in the greenhouse. Specifically, arrange a sensor array in the greenhouse, and each sensor monitors the distribution of ecological variables such as temperature, humidity, and light intensity.

[0079] The data monitored by the sensors are marked with time and location to obtain an ecological variable matrix.

[0080] Analyze the relationship between crop development and ecological variables. Based on the spatial distribution data of development indicators and ecological variables, analyze the direct and indirect effects of ecological variables on crop growth synchronization: By correlating the crop development indicator matrix with the ecological variable matrix, the influence mechanism of ecological variables on development indicators is obtained. Correlation analysis uses regression model: ;in, Indicates the crop Developmental indicators and The strength of association of an ecological variable, ranging from 0 to 1; is a regression function, which is fitted by experimental data to calculate the sensitivity of developmental indicators to ecological variables; is the development indicator matrix; is the ecological variable matrix.

[0081] Calculate the spatial uniformity index, quantify the spatial uniformity of ecological variables in the greenhouse, calculate the uniformity index and evaluate the potential impact on the consistency of population growth: By calculating the spatial uniformity of ecological variables in the greenhouse, quantify the impact of the distribution of ecological variables on the synchronization of crop growth. The spatial uniformity index is defined as: ;

[0082] in, is the spatial uniformity index of ecological variables; For sensor The measured value of is the average measurement value of all sensors; is the sensor number; is the total number of sensors; is the variance of all sensor measurements.

[0083] The closer the uniformity index is to 1, the more evenly the ecological variables are distributed and the smaller the potential impact on crop growth synchronization.

[0084] Assess the impact on crop group yields, combine the results of spatial uniformity analysis, and predict the potential impact of ecological variables on crop group yields: define a potential impact index to assess the potential impact of greenhouse environment on crop group yields, expressed as: ;in, is the potential impact index; For the crop Developmental indicators and The rate of change of the strength of association of the ecological variables; , is the weight factor; Indicates the time point and time period when changes in various ecological variables and crop development indicators in the greenhouse environment are monitored; is the spatial uniformity index of ecological variables.

[0085] The larger the potential impact index, the greater the impact of ecological variables in the greenhouse on the yield of the crop group. The larger the potential impact index, the greater the spatial heterogeneity or dynamic fluctuation of ecological variables in certain areas of the greenhouse, resulting in large differences in development indicators of the crop group. For example, if the temperature distribution is uneven, it may cause some crops to grow faster while other crops to grow slower, ultimately affecting the growth synchronization and final yield of the entire crop group.

[0086] According to the potential imbalance of ecological variables in the greenhouse and the potential impact of the greenhouse environment on the yield of crop groups, the regulation state of the greenhouse environment is judged. The regulation state of the greenhouse environment includes normal operation state and abnormal interference state, specifically:

[0087] Preset the ecological variable balance index threshold, and compare the ecological variable balance index with the ecological variable balance index threshold:

[0088] When the ecological variable balance index is less than or equal to the ecological variable balance index threshold, it indicates that the ecological variables in the greenhouse are within the allowable range of crop growth requirements, and the impact of each ecological variable on crop growth is relatively balanced, without imbalance. At this time, the regulation state of the greenhouse environment is a normal operating state.

[0089] When the ecological variable balance index is greater than the ecological variable balance index threshold, it means that some ecological variables deviate from the target requirement range of crop growth, which may lead to growth stress or physiological abnormalities, and further analysis is needed on the impact on crop population yield.

[0090] The threshold of the ecological variable balance index is to set the fluctuation range of ecological variables according to the sensitivity of environmental requirements in the crop growth stage. For example, the tolerance range of temperature fluctuation in the seedling stage is small, and the threshold of the ecological variable balance index will be low; the tolerance range in the growth stage is large, and the threshold of the ecological variable balance index will be appropriately increased.

[0091] A potential impact index threshold is preset, and the potential impact index is compared with the potential impact index threshold:

[0092] When the potential impact index is less than or equal to the potential impact index threshold, it means that the spatial distribution uniformity and dynamic changes of ecological variables have no impact on the yield of crop populations. At this time, the regulation state of the greenhouse environment is a normal operating state.

[0093] When the potential impact index is greater than the potential impact index threshold, it means that the fluctuation or unevenness of ecological variables has a negative impact on the growth of the crop population, and the crop population is at risk of yield decline.

[0094] The potential impact index threshold is set for yield targets at different growth stages based on the yield sensitivity of crop varieties and market targets. For example, the potential impact index threshold for high economic value crops (such as fruits) is lower, while the potential impact index threshold for leafy vegetables is higher.

[0095] When the ecological variable balance index is less than or equal to the ecological variable balance index threshold, and the potential impact index is less than or equal to the potential impact index threshold, the greenhouse environment regulation state is a normal operation state. Except for the cases where the ecological variable balance index is less than or equal to the ecological variable balance index threshold, and the potential impact index is less than or equal to the potential impact index threshold, the greenhouse environment regulation state is an abnormal interference state. The optimization measures for the abnormal interference state include:

[0096] Improve the imbalance variables and reduce the imbalance of ecological variables through local environmental regulation (increase ventilation, local lighting or adjust irrigation frequency) to make the ecological variables close to the target demand range of crops.

[0097] Optimize ecological uniformity and reconfigure the control system (adjust sensor positions or add partition control modules) for variables with uneven spatial distribution to improve the spatial consistency of variables.

[0098] Lower the task requirements. For situations where ecological variables change dramatically or have a significant impact on crop population yields, lower the expected value of the target yield or extend the crop adaptation time to alleviate environmental pressure.

[0099] By analyzing the adaptability between the dynamic parameters of the crop canopy and root environment, the comprehensive support capacity of the greenhouse environment for crop growth is evaluated, specifically:

[0100] Determine the key environmental parameters of the crop canopy and root system and the suitability evaluation criteria: According to the physiological characteristics of the target crop and the current growth stage, determine the key parameters of the canopy environment and the root system environment, and establish the suitability evaluation criteria. Canopy environmental parameters usually include light intensity, air temperature and humidity, and carbon dioxide concentration, which affect crop photosynthesis and gas exchange. Root system environmental parameters usually include soil moisture, nutrient concentration, soil temperature and oxygen content, which determine the absorption efficiency and health of the root system.

[0101] If the target crop is tomato and the growth stage is flowering and fruiting, the key parameters of the canopy environment and root environment and the suitability evaluation criteria are:

[0102] The canopy light intensity requirement is 300 to 500 micromoles / m2 / second, the air temperature is 22 to 28 degrees Celsius, the humidity is 65% to 75%, and the carbon dioxide concentration is 400 to 600 ppm;

[0103] The root system needs 60% to 80% water, a soil temperature of 20 to 25 degrees Celsius, and an oxygen content of 5 to 10%.

[0104] A multi-type sensor network is installed in the greenhouse to collect dynamic parameter data of the canopy environment and the root environment. The canopy environment data is collected by light sensors, temperature and humidity sensors, and carbon dioxide sensors; the root environment data is collected by soil moisture sensors, temperature sensors, and soil oxygen concentration sensors.

[0105] Based on the canopy environment data and root system environment data, the compatibility index between the canopy and the root system is calculated by analyzing the correlation between each set of parameters to quantify the matching degree between the dynamic parameters of the canopy and the root system. The calculation formula of the compatibility index is: ; in, is the adaptability index; For the canopy environmental parameter values; For the Root system environmental parameter values; For the target values ​​for canopy environmental parameters; For the Target values ​​of root environment parameters; For the The canopy environmental parameters and The association weights between the root environment parameters; , represent the total number of canopy and root environment parameters, respectively.

[0106] The larger the adaptability index, the worse the dynamic parameters of the crop canopy and the root environment match, and the worse the greenhouse environment's ability to support crop growth. A larger adaptability index indicates that the coordination between the canopy environment parameters and the root environment parameters is insufficient, which may lead to restrictions on crop growth in many aspects. A larger adaptability index indicates that it is impossible to provide ideal conditions for crop photosynthesis, nutrient absorption, and overall metabolism. This may reduce crop growth rate, affect quality, and even cause disease risks.

[0107] By analyzing the effect of greenhouse covering materials on spectral transmittance, the abnormal degree of light regulation on crop growth is evaluated, specifically:

[0108] Spectral analysis equipment is installed on the top and sides of the greenhouse structure to collect the spectral transmittance of the covering material in different wavelength ranges in real time. Spectral transmittance represents the light energy transmittance ratio of the material at a specific wavelength and is defined as: ;

[0109] in, For time and location Wavelength Spectral transmittance of is the intensity of light transmitted through the covering material; is the light intensity incident on the surface of the covering material.

[0110] In the crop canopy area, photosynthetic meters and fluorescence detection equipment are used to collect crop light response data in real time, including:

[0111] Net photosynthetic rate, which indicates the net absorption rate of carbon dioxide in crop photosynthesis;

[0112] Chlorophyll fluorescence parameters indicate the light energy conversion efficiency of crop photosynthetic system;

[0113] The transpiration rate reflects the rate at which crops release water through transpiration.

[0114] The spectral transmittance data of the covering material and the crop light response data were correlated and analyzed to construct a model for the influence of spectral transmittance on crop light response. The expression of the influence model is: ;

[0115] in, It is the adaptation index of spectral transmittance to light response. The larger the adaptation index is, the better the spectral transmittance supports the light response of crops. , are weight factors, reflecting the weights of the top and side spectral transmittances to the light response respectively; , represent the spectral transmittance at the top and side positions, respectively; is the weighting factor for the light response difference; is the current net photosynthetic rate; is the ideal net photosynthetic rate, which is the reference value for model calibration.

[0116] According to the adaptation index, the abnormal index of light regulation is defined, and the expression is: ;

[0117] in, is the light regulation abnormality index; is the adaptation index of spectral transmittance to light response; is the ideal fit index; , is the range of the spectrum.

[0118] The larger the light regulation anomaly index is, the more abnormal the light regulation is in affecting crop growth. This means that the transmittance of greenhouse covering materials in key spectral bands deviates from the ideal requirements of crops, resulting in the inability of crops to effectively use light energy to complete normal photosynthesis. The net photosynthetic rate of crops may decrease, chlorophyll fluorescence parameters may deviate from ideal values, and the transpiration rate may be abnormal, reflecting problems with water balance and light response adaptability. A larger light regulation anomaly index means that the transmittance of the covering material in a specific wavelength range may be insufficient (such as too low red or blue light transmittance), or that crop light response indicators (such as photosynthetic rate or fluorescence parameters) deviate from expected values, thereby affecting crop growth.

[0119] Comprehensively analyze the potential imbalance of ecological variables in the greenhouse, the comprehensive support capacity of the greenhouse environment for crop growth, and the abnormal degree of light regulation on crop growth, evaluate the potential risks of the greenhouse environment to crop growth, and determine whether greenhouse environment regulation is needed. Specifically:

[0120] The ecological variable balance index corresponding to the potential imbalance degree of ecological variables in the greenhouse, the adaptability index corresponding to the comprehensive support capacity of the greenhouse environment for crop growth, and the light regulation abnormality index corresponding to the abnormal degree of the influence of light regulation on crop growth are normalized, and the ecological variable balance index, adaptability index and light regulation abnormality index obtained after normalization are calculated to obtain the potential risk index. The potential risk of the greenhouse environment to crop growth is evaluated by the potential risk index, and it is judged whether the greenhouse environment needs to be regulated. The calculation formula of the potential risk index is: ;

[0121] in, is the potential risk index; is the light regulation abnormality index; is the adaptability index; is the ecological variable balance index; The power adjustment parameter for the potential risk index; , , , are the weight coefficients of ecological variable balance index, adaptability index and light regulation abnormality index respectively; is the adjustment factor of the adaptability index;

[0122] The larger the potential risk index is, the greater the potential risk of the greenhouse environment to crop growth is.

[0123] Preset a potential risk index threshold and compare the potential risk index with the potential risk index threshold:

[0124] When the potential risk index is less than the potential risk index threshold, it means that the greenhouse environment has a good support capacity for crop growth, the balance of ecological variables, adaptability and light regulation are all within a reasonable range, and the potential risk of the greenhouse environment to crop growth is low. At this time, there is no need to regulate the greenhouse environment.

[0125] When the potential risk index is greater than or equal to the preset potential risk index threshold, it indicates that the greenhouse environment has a high potential risk to crop growth, which may cause crop growth conditions to deviate from demand, resulting in quality decline and health problems. At this time, greenhouse environment regulation is required to make targeted adjustments to unbalanced ecological variables, environmental support capacity or abnormal light conditions, restore the greenhouse environment state, and reduce crop growth risks.

[0126] When the greenhouse environment has an imbalance of ecological variables, insufficient environmental support capacity, or abnormal lighting, the imbalance of ecological variables can be restored by adjusting temperature, humidity, carbon dioxide concentration, or soil moisture, such as using ventilation equipment to reduce high temperature, using a humidifier to supplement humidity, or optimizing the irrigation system to adjust soil moisture content. For insufficient environmental support capacity, a zoning control system is used to optimize variable distribution, increase nutrient supplementation, or improve the consistency of the root crown area environment to meet crop growth needs and enhance support capacity. For abnormal lighting, the efficiency of crop light energy utilization can be improved by installing fill lights, optimizing the light transmittance of greenhouse covering materials, or adjusting lighting time and intensity. At the same time, combined with the Internet of Things monitoring system and intelligent linkage control equipment, the greenhouse environment changes are dynamically tracked and various parameters are adjusted in real time to ensure that the control measures are accurate and efficient, thereby comprehensively reducing the risk of crop growth and ensuring stable quality and yield.

[0127] Example 2: The difference between Example 2 of the present invention and Example 1 is that this example introduces a greenhouse environment control system based on the crop growth cycle.

[0128] Figure 2A structural schematic diagram of a greenhouse environment control system based on a crop growth cycle of the present invention is given. A greenhouse environment control system based on a crop growth cycle includes: an imbalance degree assessment module, a yield impact assessment module, a control state judgment module, a support capability assessment module, an abnormal degree assessment module and a potential risk assessment module;

[0129] Imbalance degree assessment module: Based on the physiological needs of crops at different growth stages, the potential imbalance degree of ecological variables in the greenhouse is assessed by collecting ecological variables in the greenhouse;

[0130] Yield impact assessment module: Compare the internal development indicators of crop groups and the distribution characteristics of ecological variables, analyze the impact of the spatial uniformity of ecological variables on the synchronization of crop growth, and assess the potential impact of greenhouse environment on crop group yield;

[0131] Regulation status judgment module: judges the regulation status of the greenhouse environment according to the potential imbalance degree of ecological variables in the greenhouse and the potential impact degree of the greenhouse environment on the yield of the crop group. The regulation status of the greenhouse environment includes normal operation status and abnormal interference status;

[0132] When the greenhouse environment is in an abnormal interference state, the support capacity assessment module: evaluates the comprehensive support capacity of the greenhouse environment for crop growth by analyzing the adaptability between the dynamic parameters of the crop canopy and the root environment; the abnormal degree assessment module: evaluates the abnormal degree of the effect of light regulation on crop growth by analyzing the effect of greenhouse covering materials on spectral transmittance;

[0133] Potential risk assessment module: Comprehensively analyze the potential imbalance of ecological variables in the greenhouse, the comprehensive support capacity of the greenhouse environment for crop growth, and the abnormal degree of light regulation on crop growth, evaluate the potential risks of the greenhouse environment to crop growth, and determine whether greenhouse environment regulation is needed.

[0134] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0135] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or may be transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium may be a solid-state hard disk.

[0136] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0137] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and modules described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0138] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0139] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0140] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0141] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0142] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0143] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A greenhouse environment control method based on crop growth cycle, characterized in that: The specific steps include: According to the physiological needs of crops at different growth stages, the potential imbalance of ecological variables in the greenhouse is assessed by collecting ecological variables in the greenhouse; Compare the distribution characteristics of developmental indicators and ecological variables within crop populations, analyze the impact of spatial uniformity of ecological variables on crop growth synchronization, and evaluate the potential impact of greenhouse environment on crop population yields; According to the potential imbalance of ecological variables in the greenhouse and the potential impact of the greenhouse environment on the yield of crop groups, the regulation state of the greenhouse environment is judged. The regulation state of the greenhouse environment includes normal operation state and abnormal interference state. When the greenhouse environment is in an abnormal interference state, the comprehensive support capacity of the greenhouse environment for crop growth is evaluated by analyzing the adaptability between the dynamic parameters of the crop canopy and the root environment; the abnormal degree of the effect of light regulation on crop growth is evaluated by analyzing the effect of greenhouse covering materials on spectral transmittance; A comprehensive analysis is conducted on the potential imbalance of ecological variables in the greenhouse, the comprehensive support capacity of the greenhouse environment for crop growth, and the abnormal degree of the impact of light regulation on crop growth to evaluate the potential risks of the greenhouse environment to crop growth and determine whether greenhouse environment regulation is needed.

2. A greenhouse environment control method based on crop growth cycle according to claim 1, characterized in that: According to the physiological needs of crops at different growth stages, the potential imbalance of ecological variables in the greenhouse is assessed by collecting ecological variables in the greenhouse, including: Divide the crop growth cycle into stages and extract the corresponding physiological demand parameter range; Collect multi-source ecological variable data in the greenhouse, and calculate the deviation value between the physiological demand parameters and the current state based on the ecological variable data; The calculation formula of the deviation value is: ; Define the ecological variable balance index, the expression is: ;in, is the ecological variable balance index; is the total number of all ecological variables collected in the greenhouse; Ecological variables Deviation value; Ecological variables The current value of , Ecological variables The lower and upper limits of target parameters corresponding to physiological needs.

3. A greenhouse environment control method based on crop growth cycle according to claim 2, characterized in that: Compare the distribution characteristics of developmental indicators and ecological variables within the crop population, analyze the impact of spatial uniformity of ecological variables on crop growth synchronization, and evaluate the potential impact of greenhouse environment on crop population yield, including: Through sensors and image analysis technology, the development indicators of crop groups are collected in real time; Through the sensor network, the spatial distribution characteristics of ecological variables in the greenhouse are monitored; Calculate spatial uniformity indices to quantify the spatial uniformity of ecological variables within the greenhouse; Combined with the results of spatial uniformity analysis, a potential impact index is defined to evaluate the potential impact of greenhouse environment on crop population yield. The expression is: ;in, is the potential impact index; For the crop Developmental indicators and The rate of change of the strength of association of the ecological variables; ;in, Indicates the crop Developmental indicators and The strength of association between the ecological variables; is the regression function; is the development indicator matrix; is the ecological variable matrix; , is the weight factor; Indicates the time point and time period when changes in various ecological variables and crop development indicators in the greenhouse environment are monitored; is the spatial uniformity index of ecological variables; ;in For sensor The measured value of is the average measurement value of all sensors; is the sensor number; is the total number of sensors; is the variance of all sensor measurements.

4. A greenhouse environment control method based on crop growth cycle according to claim 3, characterized in that: According to the potential imbalance of ecological variables in the greenhouse and the potential impact of the greenhouse environment on the yield of crop groups, the regulation state of the greenhouse environment is judged. The regulation state of the greenhouse environment includes normal operation state and abnormal interference state, including: Preset the ecological variable balance index threshold, and compare the ecological variable balance index with the ecological variable balance index threshold: When the ecological variable balance index is less than or equal to the ecological variable balance index threshold, the greenhouse environment regulation state is a normal operating state; A potential impact index threshold is preset, and the potential impact index is compared with the potential impact index threshold: When the potential impact index is less than or equal to the potential impact index threshold, the greenhouse environment control state is a normal operating state; When the ecological variable balance index is less than or equal to the ecological variable balance index threshold, and the potential impact index is less than or equal to the potential impact index threshold, the regulation state of the greenhouse environment is a normal operating state; except for the cases where the ecological variable balance index is less than or equal to the ecological variable balance index threshold, and the potential impact index is less than or equal to the potential impact index threshold, the regulation state of the greenhouse environment is an abnormal interference state.

5. A greenhouse environment control method based on crop growth cycle according to claim 4, characterized in that: By analyzing the compatibility between the dynamic parameters of the crop canopy and root environment, the comprehensive support capacity of the greenhouse environment for crop growth is evaluated, including: Determine the key environmental parameters of crop canopies and root systems and the suitability evaluation criteria; The dynamic parameter data of the canopy environment and the root system environment are collected. Based on the canopy environment data and the root system environment data, the compatibility index between the canopy and the root system is calculated by analyzing the correlation between each group of parameters. The calculation formula of the compatibility index is: ; in, is the adaptability index; For the canopy environmental parameter values; For the Root system environmental parameter values; For the target values ​​for canopy environmental parameters; For the Target values ​​of root environment parameters; For the The canopy environmental parameters and The association weights between the root environment parameters; , represent the total number of canopy and root environment parameters, respectively.

6. A greenhouse environment control method based on crop growth cycle according to claim 5, characterized in that: By analyzing the impact of greenhouse covering materials on spectral transmittance, the abnormal degree of light regulation on crop growth is evaluated, including: Install spectral analysis equipment on the top and sides of the greenhouse structure to collect the spectral transmittance of the covering material in different wavelength ranges; Correlation analysis was performed between the spectral transmittance data of covering materials and the light response data of crops, and a model of the impact of spectral transmittance on the light response of crops was constructed; Define the light regulation abnormality index, the expression is: ; in, is the light regulation abnormality index; is the adaptation index of spectral transmittance to light response; ;in , is the weight factor; , represent the spectral transmittance at the top and side positions, respectively; is the weighting factor for the light response difference; is the current net photosynthetic rate; is the ideal net photosynthetic rate; is the ideal fit index; , is the range of the spectrum.

7. A greenhouse environment control method based on crop growth cycle according to claim 6, characterized in that: Comprehensively analyze the potential imbalance of ecological variables in the greenhouse, the comprehensive support capacity of the greenhouse environment for crop growth, and the abnormal degree of light regulation on crop growth, evaluate the potential risks of the greenhouse environment to crop growth, and determine whether greenhouse environment regulation is needed, including: The ecological variable balance index corresponding to the potential imbalance degree of ecological variables in the greenhouse, the adaptability index corresponding to the comprehensive support capacity of the greenhouse environment for crop growth, and the light regulation anomaly index corresponding to the abnormal degree of the influence of light regulation on crop growth are normalized. The ecological variable balance index, adaptability index and light regulation anomaly index obtained after normalization are calculated to obtain the potential risk index. The calculation formula of the potential risk index is: ; in, is the potential risk index; is the light regulation abnormality index; is the adaptability index; is the ecological variable balance index; The power adjustment parameter for the potential risk index; , , , are the weight coefficients of ecological variable balance index, adaptability index and light regulation abnormality index respectively; is the adjustment factor of the adaptability index; Preset a potential risk index threshold and compare the potential risk index with the potential risk index threshold: When the potential risk index is less than the potential risk index threshold, greenhouse environment regulation is not required; When the potential risk index is greater than or equal to the preset potential risk index threshold, greenhouse environment control is required.

8. A greenhouse environment control system based on crop growth cycle, used to implement a greenhouse environment control method based on crop growth cycle according to any one of claims 1 to 7, characterized in that: include: Imbalance degree assessment module, yield impact assessment module, control status judgment module, support capability assessment module, abnormality degree assessment module and potential risk assessment module; Imbalance degree assessment module: Based on the physiological needs of crops at different growth stages, the potential imbalance degree of ecological variables in the greenhouse is assessed by collecting ecological variables in the greenhouse; Yield impact assessment module: Compare the internal development indicators of crop groups and the distribution characteristics of ecological variables, analyze the impact of the spatial uniformity of ecological variables on the synchronization of crop growth, and assess the potential impact of greenhouse environment on crop group yield; Regulation status judgment module: judges the regulation status of the greenhouse environment according to the potential imbalance degree of ecological variables in the greenhouse and the potential impact degree of the greenhouse environment on the yield of the crop group. The regulation status of the greenhouse environment includes normal operation status and abnormal interference status; When the greenhouse environment is in an abnormal interference state, the support capacity assessment module: evaluates the comprehensive support capacity of the greenhouse environment for crop growth by analyzing the adaptability between the dynamic parameters of the crop canopy and the root environment; the abnormal degree assessment module: evaluates the abnormal degree of the effect of light regulation on crop growth by analyzing the effect of greenhouse covering materials on spectral transmittance; Potential risk assessment module: Comprehensively analyze the potential imbalance of ecological variables in the greenhouse, the comprehensive support capacity of the greenhouse environment for crop growth, and the abnormal degree of light regulation on crop growth, evaluate the potential risks of the greenhouse environment to crop growth, and determine whether greenhouse environment regulation is needed.

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