Simulation calculation method based on plant physiological ecological model

Abstract

The invention relates to the technical field of plant physiology and ecology, and discloses a simulation calculation method based on a plant physiology and ecology model, which comprises the following steps: acquiring plant growth environment parameters: soil humidity (H), illumination intensity (L), temperature (T) and initial plant accumulation (Gs), and acquiring data through an acquisition module; according to the simulation calculation method based on the plant physiology and ecology model, the calculation process is simplified, the micro-level problem is simplified into the problems of plant accumulation and absorption capacity, and compared with a traditional simulation algorithm, the calculation complexity is greatly reduced, the requirement for calculation resources is lowered, and the calculation efficiency is improved. According to the method, plant growth simulation calculation can be quickly carried out on common calculation equipment, initial conditions are flexible, calculation can be carried out by taking any state of the plant as an initial parameter, plants in a seedling stage, a growth stage or a mature stage can be used as simulation starting points, and convenience is provided for plant growth management in different stages.

Description

Technical Field

[0001] The present invention relates to the technical field of plant physiological ecology, and specifically to a simulation calculation method based on a plant physiological ecology model. Background Art

[0002] In the field of plant growth simulation, traditional simulation algorithms have many limitations. Previous algorithms, such as the Plant Growth Simulation Algorithm (PGSA) proposed in 2005, the finite element method, the hydrodynamic model method, etc., mostly focus on simulating plant growth from a microscopic level or a physical property level. Although these methods have certain value in theoretical research, they face many difficulties in practical engineering applications. They are often too complex, with a huge amount of calculation, extremely high requirements for computing resources, and difficult to combine with the actual plant growth environment, and cannot provide effective support for actual agricultural production, forestry management, and ecological research, etc. For example, in agricultural production, farmers need to accurately predict plant growth according to different soil conditions, climate factors, etc. to formulate reasonable planting and management strategies, but traditional algorithms cannot meet this demand. Now, a simulation calculation method based on a plant physiological ecology model is invented to solve the above problems. Summary of the Invention

[0003] (1) Technical Problems to be Solved

[0004] In view of the deficiencies of the prior art, the present invention provides a simulation calculation method based on a plant physiological ecology model, which solves the above problems.

[0005] (2) Technical Solutions

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

[0007] Preferably, it also includes real-time monitoring of changes in environmental parameters. When the soil humidity (H), light intensity (L), or environmental temperature (T) mutates, the dynamic growth coefficient (k) is recalculated and the accumulation (G) is updated.

[0008] Preferably, the data acquisition module includes a soil humidity sensor, a light sensor, and a temperature sensor, and the accumulation measurement module obtains the initial accumulation (G s ) of the plant through three-dimensional scanning or biomass weighing.

[0009] Preferably, the simulation calculation method is used to simulate the growth process of plants under different environmental conditions, and the environmental conditions at least include changes in soil humidity H.

[0010] Preferably, the default value of the carbon fixation coefficient (Kgc) is 0.85, which can be calibrated according to the actual plant species and growth environment.

[0011] Preferably, the water absorption coefficient (kw) and the growth conversion coefficient (kg) are determined by experimental calibration, and the specific values are adjusted according to the plant species.

[0012] Another technical problem to be solved by the present invention is to provide a simulation calculation method based on a plant physiological and ecological model, including the following steps:

[0013] 1) Collect plant growth environment parameters: soil humidity (H), light intensity (L), temperature (T), initial plant growing stock (G s ), and collect data through a collection module;

[0014] 2) Input of environmental parameters: Define the research object and the target environment, and obtain the values of each parameter. Determine the soil humidity (H), which can be obtained by measuring at multiple points in the target area with a soil humidity sensor and taking the average value. Measure the plant growing stock (Gs). For trees, it can be obtained by measuring the tree height and diameter at breast height and using a specific growing stock calculation formula; for herbaceous plants, it can be determined by harvesting and weighing, combined with the volume conversion relationship. For other parameters such as ratio (R) and coefficient (K), if there is experimental data, it is directly adopted; if not, refer to the research data of similar plants in similar environments. The organic water ratio (Rwo) and the carbon fixation coefficient (KgC) are used as 10^4 / 17 and 0.85 respectively. The following parameters are collected in real time through Internet of Things sensors or manually input:

[0015] Soil humidity (H): humidness, measured with a humidity sensor (unit: %).

[0016] Light intensity (L): photosynthetically active radiation sensor (unit: μmol / m 2 / s)

[0017] Temperature (T): ambient temperature sensor (unit: °C)

[0018] Initial plant growing stock (G s ): amount of growing stock, the unit of growing stock is a volume unit, obtained by three-dimensional scanning or biomass weighing (unit: m 3 )

[0019] Ratio (R): ratio;

[0020] Coefficient: K;

[0021] Mass: mass, abbreviated as M;

[0022] Organic water ratio: Rwo = 10^4 / 17, carbon fixation coefficient; Kgc = 0.85, the ratio of growing stock to carbon dioxide mass;

[0023] Water absorption rate per unit time: Sw, unit m3 / s;

[0024] 3) Calculation method: When each external influencing factor is a fixed value, the law of plant growth accumulation is expressed in the following differential form:

[0025] Equation 1

[0026] dG = kG(t)dt

[0027] where k is the growth coefficient calculated from various influencing factors. This coefficient is related to the absorption rate.

[0028] The relationship is as follows:

[0029] Equation 2

[0030] kn = kg·Sw

[0031] The calculation of the absorption rate is expressed by the following formula:

[0032] Equation 3

[0033] S w = k w ·G s ·H·L·T

[0034] Combining Equations 1, 2, and 3, when the external influencing factors are fixed, substituting k and solving the differential equation gives:

[0035] (G(t) = C·e {kt})

[0036] C is the integration constant, which can be determined based on the initial state of the plant. For example, when the initial accumulation of the plant is known, substitute it into the equation to solve for C.

[0037] Considering that k is constantly changing during the entire growth process of the plant. And the change process is discrete, so the entire growth process of the plant can be represented by multiple discrete continuous processes.

[0038]

[0039] Based on the above equations, the entire process of plant accumulation growth can be described by mathematical methods. And according to the adjusted accumulation conditions, the growth results of plants in different situations can be simulated.

[0040] 4) Since k is constantly changing and discrete during plant growth, the growth process is segmented. Record the start and end times (kn) and the corresponding tn of each segment, and calculate the accumulation of the entire plant growth process according to the above formula. For example, if the plant growth is divided into the seedling stage, the rapid growth stage, and the stable stage, the kn and tn are different in each stage. Calculate them separately and then accumulate to obtain the final accumulation.

[0041] 5) After obtaining the simulated plant biomass data, analyze the impact of environmental factors on plant growth by plotting growth curves (biomass change curves over time) and comparing simulation results under different conditions (such as different soil moisture levels and fertilization amounts), providing a basis for decision-making in agricultural production, forestry management, etc.

[0042] (III) Beneficial Effects

[0043] Compared with the prior art, the present invention provides a simulation calculation method based on a plant physiological and ecological model, having the following beneficial effects:

[0044] 1. For the simulation calculation method based on the plant physiological and ecological model, the calculation process is simplified, and problems at the microscopic level are simplified to problems of plant biomass and absorption capacity. Compared with traditional simulation algorithms, the calculation complexity is greatly reduced, the requirement for computing resources is lowered, enabling rapid simulation calculation of plant growth on ordinary computing devices.

[0045] 2. For the simulation calculation method based on the plant physiological and ecological model, the initial conditions are flexible, and calculations can be performed with any state of the plant as the initial parameter. Whether it is a plant in the seedling stage, growth stage, or maturity stage, it can be used as the starting point for simulation, providing convenience for plant growth management at different stages. It has a wide range of applications and is of great application value in multiple fields such as agriculture, forestry, and ecological research, capable of providing accurate theoretical support for actual production and research, and promoting the sustainable development of related fields. Specific Embodiments

[0046] The following will combine 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 a part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0047] Embodiment 1:

[0048] 1. A simulation calculation method based on a plant physiological and ecological model, characterized by comprising the following steps:

[0049] 1) Collect plant growth environment parameters: soil moisture (H), light intensity (L), temperature (T), initial plant biomass (G s ), and collect data through a collection module;

[0050] 2) Environmental parameter input: Clearly define the research object and the target environment, and obtain the values of each parameter. Determine the soil humidity (H), which can be measured at multiple points in the target area using a soil humidity sensor and then take the average value. Measure the plant growing stock (Gs). For trees, calculate it by measuring the tree height and diameter at breast height and using a specific growing stock calculation formula; for herbaceous plants, determine it by harvesting and weighing, combined with the volume conversion relationship. For other parameters such as the ratio (R) and coefficient (K), if there are experimental data, directly use them; if not, refer to the research data of similar plants in similar environments. The organic water ratio (Rwo) and the carbon sequestration coefficient (KgC) are used as 10^4 / 17 and 0.85 respectively. Collect or manually input the following parameters in real time through Internet of Things sensors:

[0051] Soil humidity (H): humidness, measured using a humidity sensor (unit: %).

[0052] Light intensity (L): Photosynthetically Active Radiation sensor (unit: μmol / m 2 / s)

[0053] Temperature (T): Ambient temperature sensor (unit: °C)

[0054] Initial plant growing stock (G s ): amount of growing stock, the unit of growing stock is a volume unit, obtained through 3D scanning or biomass weighing (unit: m 3 )

[0055] Ratio (R): ratio;

[0056] Coefficient: K;

[0057] Mass: mass, abbreviated as M;

[0058] Organic water ratio: Rwo = 10^4 / 17, carbon sequestration coefficient; Kgc = 0.85, the ratio of growing stock to carbon dioxide mass;

[0059] Water absorption rate per unit time: Sw, unit m3 / s;

[0060] 3) Calculation method: When the external influencing factors are constant, the law of plant growth and growing stock is expressed in the following differential form:

[0061] Equation 1

[0062] dG = kG(t)dt

[0063] Where k is the growth coefficient calculated from various influencing factors. This coefficient is related to the absorption rate.

[0064] The relationship is as follows:

[0065] Equation 2

[0066] $k_n = kg·S_w$

[0067] The calculation of the absorption rate is expressed by the following formula:

[0068] Equation 3

[0069] $S$ w $= k$ w $·G$ s $·H·L·T$

[0070] Combining Equations 1, 2, and 3, in the stage where the external influencing factors are constant, substituting $k$ and solving the differential equation gives:

[0071] $(G(t) = C·e$ {kt})

[0072] $C$ is the integration constant, which can be determined according to the initial state of the plant. For example, when the initial accumulation of the plant is known, substitute it into the equation to solve for $C$.

[0073] Considering that $k$ is constantly changing during the entire growth process of the plant. And the change process is discrete, so the entire growth process of the plant can be represented by multiple discrete continuous processes added together.

[0074]

[0075] Based on the above equations, the process of the entire plant's accumulation growth can be described by mathematical methods. And by adjusting the accumulation conditions, the growth results of the plant under different conditions can be simulated.

[0076] 4) Since $k$ is constantly changing and discrete during plant growth, the growth process is segmented. Record the start and end times ($k_n$) and the corresponding $t_n$ for each segment, and calculate the accumulation of the entire plant growth process according to the above formula. For example, if the plant growth is divided into the seedling stage, the rapid growth stage, and the stable stage, $k_n$ and $t_n$ are different in each stage, and the final accumulation is obtained by calculating and adding them separately.

[0077] 5) After obtaining the simulated plant accumulation data, by plotting the growth curve (the curve of accumulation changing with time) and comparing the simulation results under different conditions (such as different soil moisture, fertilization amount), analyze the influence of environmental factors on plant growth, and provide a decision-making basis for agricultural production, forestry management, etc.

[0078] It also includes real-time monitoring of changes in environmental parameters. When the soil moisture ($H$), light intensity ($L$), or environmental temperature ($T$) suddenly changes, recalculate the dynamic growth coefficient ($k$) and update the accumulation ($G$); the data acquisition module includes a soil moisture sensor, a light sensor, and a temperature sensor, and the accumulation measurement module obtains the initial accumulation of the plant ($G$) through three-dimensional scanning or biomass weighing s); The simulation calculation method is used to simulate the growth process of plants under different environmental conditions, and the environmental conditions at least include the change of soil humidity H; the default value of the carbon fixation coefficient (Kgc) is 0.85, which can be calibrated according to the actual plant species and growth environment; the water absorption coefficient (kw) and the growth conversion coefficient (kg) are determined by experimental calibration, and the specific values are adjusted according to the plant species.

[0079] Example 2:

[0080] 1) Collect plant growth environment parameters: soil humidity (H), light intensity (L), temperature (T), initial plant accumulation (G s );

[0081] 2) Input of environmental parameters: Define the research object and the target environment, and obtain the values of each parameter. Determine the soil humidity (H), which can be obtained by taking the average value after multi-point measurement in the target area with the help of a soil humidity sensor.

[0082] 3) Calculation method: When each external influencing factor is a fixed value, the law of plant growth accumulation is expressed in the following differential form:

[0083] Equation 1

[0084] dG = kG(t)dt

[0085] where k is the growth coefficient calculated from various influencing factors. This coefficient is related to the absorption rate.

[0086] The relationship is as follows:

[0087] Equation 2

[0088] kn = kg·Sw

[0089] The calculation of the absorption rate is expressed by the following formula:

[0090] Equation 3

[0091] S w = k w ·G s ·H·L·T

[0092] Combining Equations 1, 2, and 3, when the external influencing factors are fixed values, substituting k and solving the differential equation gives:

[0093] (G(t) = C·e {kt})

[0094] C is the integration constant, which can be determined according to the initial state of the plant. For example, when the initial plant accumulation is known, substitute it into the equation to solve for C.

[0095] Considering that the growth process k of the whole plant is constantly changing. And the change process is discrete, so the growth process of the whole plant can be represented by the sum of multiple discrete continuous processes.

[0096]

[0097] Based on the above equations, the growth process of the whole plant's stock volume can be described by mathematical methods. And the growth results of plants under different conditions can be simulated according to the adjusted stock conditions.

[0098] 4) Since k changes continuously and discretely during plant growth, the growth process is segmented. Record the start and end times (kn) and the corresponding tn of each segment, and calculate the stock volume of the whole plant growth process according to the above formula.

[0099] 5) After obtaining the simulated plant stock volume data, by plotting the growth curve (the curve of stock volume changing with time) and comparing the simulation results under different conditions (such as different soil humidities, fertilization amounts), analyze the influence of environmental factors on plant growth, and provide a decision-making basis for agricultural production, forestry management, etc.

[0100] Judgment criteria: In Example 1, through data collection and calculation, plant growth simulation calculation can be quickly carried out on ordinary computing devices. The initial conditions are flexible and can calculate with any state of the plant as the initial parameter. Therefore, the simulation calculation method in Example 1 can better simplify the problems at the microscopic level into the problems of plant stock volume and absorption capacity. The calculation process is simple and the applicable range is wide.

[0101] Beneficial effects: The calculation process is simplified, and the problems at the microscopic level are simplified into the problems of plant stock volume and absorption capacity. Compared with the traditional simulation algorithm, the calculation complexity is greatly reduced, and the requirement for computing resources is lowered, enabling quick plant growth simulation calculation on ordinary computing devices. The initial conditions are flexible and can calculate with any state of the plant as the initial parameter. Whether it is a plant in the seedling stage, growth stage or maturity stage, it can be used as the starting point of the simulation, providing convenience for plant growth management at different stages. The application range is wide and it has important application value in many fields such as agriculture, forestry, and ecological research, and can provide accurate theoretical support for actual production and research, promoting the sustainable development of related fields.

[0102] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A simulation calculation method based on a plant physiological and ecological model, characterized in that It includes the following steps: 1) Collect plant growth environment parameters: soil humidity (H), light intensity (L), temperature (T), initial plant accumulation (G s ), and collect data through the collection module; 2) Input of environmental parameters: Define the research object and the target environment, and obtain the values of each parameter. Determine the soil humidity (H), which can be obtained by taking the average value after measuring at multiple points in the target area with a soil humidity sensor. Measure the plant accumulation (Gs). For trees, it can be obtained by measuring the tree height and diameter at breast height and using a specific accumulation calculation formula; for herbaceous plants, it is determined by harvesting and weighing and combining the volume conversion relationship. For other parameters such as ratio (R) and coefficient (K), if there are experimental data, they are directly used; if not, refer to the research data of similar plants in similar environments. The organic water ratio (Rwo) and the carbon sequestration coefficient (KgC) are used as 10^4 / 17 and 0.85 respectively. The following parameters are collected in real time through IoT sensors or manually input: Soil humidity (H): humidness, measured with a humidity sensor (unit: %). Light intensity (L): Photosynthetically Active Radiation sensor (unit: μmol / m 2 / s) Temperature (T): environmental temperature sensor (unit: °C). Initial growing stock (G s ): amount of growing stock. The unit of growing stock is a volume unit, obtained by three-dimensional scanning or biomass weighing (unit: m 3 ) Ratio (R): ratio; Coefficient: K; Mass: mass, abbreviated as M; Organic water ratio: Rwo = 10^4 / 17, carbon sequestration coefficient; Kgc = 0.85, the ratio of accumulation and carbon dioxide mass; Water absorption rate per unit time: Sw, unit m3 / s; 3) Calculation method: When the external influencing factors are constant, the law of plant growth accumulation is expressed in the following differential form: Equation 1 dG = kG(t)dt where k is the growth coefficient calculated from various influencing factors. This coefficient is related to the absorption rate. The relationship is as follows: Equation 2 kn = kg·Sw The calculation of the absorption rate is expressed by the following formula: Equation 3 S w = k w ·G s ·H·L·T Combining Equation 1, 2, and 3, when the external influencing factors are constant, substituting k and solving the differential equation gives: (G(t) = C·e {kt}) C is the integration constant, which can be determined according to the initial state of the plant. For example, when the initial plant accumulation is known, substitute it into the equation to solve for C. Considering that k is constantly changing during the entire plant growth process. And the change process is discrete, so the entire plant growth process can be represented by multiple discrete continuous processes. Based on the above equations, the entire process of plant accumulation growth can be described by mathematical methods. And by adjusting the accumulation conditions, the plant growth results under different situations can be simulated. 4) Since k is constantly changing and discrete during plant growth, the growth process is segmented. Record the start and end times (kn) and the corresponding tn of each segment, and calculate the accumulation of the entire plant growth process according to the above formula. For example, if the plant growth is divided into the seedling stage, the rapid growth stage, and the stable stage, kn and tn are different in each stage, and the final accumulation is obtained by calculating and accumulating them respectively. 5) After obtaining the simulated plant accumulation data, by plotting the growth curve (the curve of accumulation changing with time) and comparing the simulation results under different conditions (such as different soil humidities and fertilization amounts), analyze the influence of environmental factors on plant growth, and provide a decision-making basis for agricultural production, forestry management, etc.

2. The simulation calculation method based on the plant physiological and ecological model according to claim 1, characterized in that: It also includes real-time monitoring of changes in environmental parameters. When there are sudden changes in soil humidity (H), light intensity (L), or environmental temperature (T), recalculate the dynamic growth coefficient (k) and update the accumulation (G).

3. A simulation calculation method based on a plant physiological and ecological model according to claim 1, characterized in that: The data acquisition module includes a soil moisture sensor, a light sensor, and a temperature sensor. The accumulation measurement module obtains the initial plant accumulation (G s ) by three-dimensional scanning or biomass weighing.

4. A simulation calculation method based on a plant physiological and ecological model according to claim 1, characterized in that: The simulation calculation method is used to simulate the growth process of plants under different environmental conditions, and the environmental conditions at least include the change of soil humidity H.

5. A simulation calculation method based on a plant physiological and ecological model according to claim 1, characterized in that: The default value of the carbon fixation coefficient (Kgc) is 0.85, which can be calibrated according to the actual plant species and growth environment.

6. The simulation calculation method based on the plant physiological and ecological model according to claim 1, characterized in that: The water absorption coefficient (kw) and the growth conversion coefficient (kg) are determined by experimental calibration, and the specific values are adjusted according to the plant species.

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