Temperature control system and control method based on earthworm breeding environment temperature prediction

Abstract

The present invention provides a temperature control system and control method based on the prediction of earthworm breeding environment temperature, which relates to the field of temperature prediction technology, including: a data acquisition module, which is used to continuously collect soil temperature at T historical moments and environmental parameters affecting earthworm breeding soil temperature at equal time intervals; a characteristic matrix construction module, which is used to construct a characteristic matrix at the same moment, and an environmental impact model construction module, which is used to obtain the predicted soil temperature; a data analysis module, which processes the soil characteristic parameters, generates a soil influence coefficient, and calculates the suitable coefficient of soil temperature; a comprehensive evaluation module, which integrates the suitable coefficient of soil temperature and the soil influence coefficient, generates a comprehensive evaluation coefficient, so as to evaluate the suitability of soil temperature, and executes the corresponding temperature control method according to the coefficient. The present invention can truly reflect the influence of changes in environment and soil characteristics on temperature, and significantly improves the temperature prediction accuracy of earthworm breeding environment.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature prediction, and in particular to a temperature control system and a control method based on temperature prediction of an earthworm breeding environment. Background Art

[0002] In a high-density, large-scale housing environment, a suitable breeding environment is a key factor affecting the health and production performance of livestock and poultry, and is also the basis for ensuring their genetic potential and production efficiency. Complex and changeable climatic conditions, livestock and poultry building facilities, ventilation airflow organization and feeding patterns directly affect the indoor environment, resulting in the complexity and diversity of the indoor environment. Uneven thermal environment, large temperature fluctuations, cold and heat stress, etc. in the house all affect the health, production performance, disease resistance and feed conversion rate of livestock and poultry. The large-scale livestock and poultry house environment control system is the key to ensuring that the indoor environmental conditions meet the living environment of livestock and poultry.

[0003] In the prior art, a livestock and poultry house breeding environment temperature prediction control system and its control method provided by publication number CN112817354A include the following steps: temperature and humidity sensor, breeding environment temperature dynamic demand module, environment controller and environment control actuator; wherein the environment controller is connected to the breeding environment temperature dynamic demand module and the temperature and humidity sensor respectively, the environment control actuator is connected to the environment controller, and performs corresponding environment control according to the command of the environment controller; the control method controls the breeding environment temperature according to the livestock and poultry breeding environment temperature dynamic setting model, the livestock and poultry house breeding environment temperature prediction system based on the GM (1, 1) model and the gray prediction fuzzy system based on the GM (1, 1) model. This method solves the problems of difficulty in timely control of the temperature in the livestock and poultry house, poor control adaptability and inability to prevent problems before they occur, and overcomes the limitations of feedback control of the livestock and poultry house based on detection results.

[0004] However, there are still the following deficiencies. From the above statements, it can be seen that the existing technology has not fully considered the relevant environmental parameters that affect the temperature, such as air humidity, ventilation frequency, ventilation time, lighting time, light intensity, soil moisture, soil salt concentration and soil density. The above environmental parameters and soil characteristic parameters are important influencing factors. Especially in earthworm farming, the physical and chemical properties of the soil will significantly affect the soil temperature. A comprehensive evaluation framework has not been established to comprehensively evaluate the effects of various parameters in the earthworm farming environment on the temperature suitability. It is impossible to truly reflect the impact of changes in the environment and soil characteristics on the temperature, which in turn leads to a decrease in the accuracy of temperature prediction.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0006] The purpose of the present invention is to provide a temperature control system and a control method based on the prediction of the earthworm breeding environment temperature, so as to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A temperature control system based on earthworm breeding environment temperature prediction, comprising:

[0009] A temperature control system based on earthworm breeding environment temperature prediction, comprising:

[0010] The data acquisition module is used to continuously collect the soil temperature and environmental parameters that affect the earthworm breeding soil temperature at T historical moments at equal time intervals, and collect the soil temperature, soil characteristic parameters and environmental parameters at the current moment. The environmental parameters include air humidity, wind speed and light intensity, and the soil characteristic parameters include soil humidity, soil salt concentration and soil density;

[0011] The feature matrix construction module is used to normalize the environmental parameters of T historical moments and the current moment, obtain the normalized values ​​of air humidity, wind speed and light intensity of T historical moments and the current moment, and use the soil temperature and normalized environmental parameters at the same moment to construct the feature matrix at the same moment;

[0012] The environmental impact model building module is used to build the environmental impact model, taking the feature matrix at the previous moment as input and the soil temperature at the next moment as a label to train the environmental impact model, and inputting the feature matrix at the current moment into the trained environmental impact model to obtain the predicted soil temperature;

[0013] A data analysis module is used to process and analyze the soil characteristic parameters, generate a soil influence coefficient for evaluating the suitability of the soil environment for earthworm survival, and calculate the suitability coefficient of the soil temperature based on the predicted soil temperature and the optimal soil temperature range for earthworm breeding;

[0014] The comprehensive evaluation module is used to process the soil temperature suitability coefficient and soil influence coefficient to generate a comprehensive evaluation coefficient for comprehensively evaluating the suitability of soil temperature for earthworm farming, and to execute the corresponding temperature control method according to the value range of the comprehensive evaluation coefficient.

[0015] Furthermore, the soil temperature at the same time and the normalized environmental parameters are used to construct the feature matrix at the same time, which is as follows:

[0016]

[0017] in, is the feature matrix at the same time, is the soil temperature, is the normalized value of air humidity, is the normalized value of wind speed, is the normalized value of light intensity.

[0018] Furthermore, the environmental impact model is constructed using a deep neural network based on a multilayer perceptron, and the deep neural network of the multilayer perceptron includes an input layer, a first hidden layer, a second hidden layer, a third hidden layer and an output layer, and the first hidden layer, the second hidden layer and the third hidden layer each have at least two neurons, and each uses ReLU as an activation function.

[0019] Furthermore, the soil characteristic parameters were processed and correlated to generate the soil influence coefficient used to evaluate the suitability of the soil environment for earthworm survival, based on the following formula:

[0020]

[0021]

[0022] in, is the soil moisture deviation value, which is used to measure the degree to which soil moisture deviates from the appropriate humidity range. is the mean soil moisture, is the lower limit of the suitable soil moisture range. is the upper limit of the suitable soil moisture range;

[0023] is the soil salt concentration deviation value, which is used to measure the degree to which the soil salt concentration deviates from the appropriate concentration range. The mean soil salt concentration is the lower limit of the suitable soil salt concentration range, is the upper limit of the suitable salt concentration range of the soil;

[0024] is the soil density deviation value, which is used to measure the degree to which the soil density deviates from the appropriate density range. is the mean soil density, is the lower limit of the suitable soil density range, is the upper limit of the suitable density range of soil;

[0025] in, The soil influence coefficient is used to comprehensively evaluate the suitability of the soil environment for earthworm survival from three levels: moisture, salt concentration, and density. ,and .

[0026] Furthermore, the soil temperature suitability coefficient was calculated based on the predicted soil temperature and the optimal soil temperature range for earthworm culture, according to the following formula:

[0027]

[0028] in, is the suitability coefficient of soil temperature, which is used to measure the degree to which the predicted soil temperature is suitable for earthworm breeding. Predicted temperature for soil, is the lower limit of the suitable temperature range of the soil. It is the upper limit of the suitable temperature range for the soil.

[0029] Furthermore, the soil influence coefficient and the soil temperature suitability coefficient are processed to generate a comprehensive evaluation coefficient for comprehensively evaluating the suitability of soil temperature for earthworm farming, based on the following formula:

[0030]

[0031] in, It is a comprehensive evaluation coefficient, which is used to comprehensively evaluate the soil temperature for earthworm farming by combining the soil influence coefficient and the suitable coefficient of soil temperature. , are the weights of soil temperature suitability coefficient and soil influence coefficient calculation respectively. , The specific value of is determined by the hierarchical analysis method;

[0032] According to the value range of the comprehensive evaluation coefficient, the corresponding temperature control method is executed. The specific process is as follows:

[0033] When the comprehensive evaluation coefficient If the predicted soil temperature is not suitable for earthworm farming, it is necessary to significantly adjust the soil temperature at the current moment, such as increasing the ventilation time, spraying water mist to cool down, or increasing the heating equipment and heating time to increase the temperature;

[0034] When the comprehensive evaluation coefficient If the predicted soil temperature is slightly higher or lower, it is necessary to slightly adjust the soil temperature at the current moment, such as increasing the water mist and ventilation times to cool down or increasing the heating equipment and heating time to heat up;

[0035] When the comprehensive evaluation coefficient , if the predicted soil temperature is suitable for earthworm breeding, the soil temperature at the current moment will be kept unchanged.

[0036] To achieve the above object, the present invention also provides the following technical solutions:

[0037] A temperature control method based on earthworm breeding environment temperature prediction, the control method is generated based on any of the above-mentioned temperature control systems based on earthworm breeding environment temperature prediction, and the specific steps include:

[0038] S1. Continuously collect the soil temperature and environmental parameters affecting the soil temperature of earthworm farming at T historical moments at equal time intervals, and collect the soil temperature, soil characteristic parameters and environmental parameters at the current moment. The environmental parameters include air humidity, wind speed and light intensity, and the soil characteristic parameters include soil humidity, soil salt concentration and soil density;

[0039] S2. Normalize the environmental parameters of T historical moments and the current moment, obtain the normalized values ​​of air humidity, wind speed and light intensity of T historical moments and the current moment, and construct the feature matrix at the same moment using the soil temperature and the normalized environmental parameters at the same moment;

[0040] S3. Construct an environmental impact model, use the feature matrix at the previous moment as input, and the soil temperature at the next moment as a label to train the environmental impact model, and input the feature matrix at the current moment into the trained environmental impact model to obtain the predicted soil temperature;

[0041] S4. Processing the soil characteristic parameters and conducting correlation analysis to generate a soil influence coefficient for evaluating the suitability of the soil environment for earthworm survival, and calculating the suitability coefficient of the soil temperature based on the predicted soil temperature and the optimal soil temperature range for earthworm breeding;

[0042] S5. Process the soil temperature suitability coefficient and soil influence coefficient to generate a comprehensive evaluation coefficient for comprehensively evaluating the suitability of soil temperature for earthworm farming, and execute the corresponding temperature control method according to the value range of the comprehensive evaluation coefficient.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] The present invention normalizes environmental parameters at T historical moments and the current moment to obtain normalized values ​​of air humidity, wind speed and light intensity at T historical moments and the current moment, uses soil temperature at the same moment and normalized environmental parameters to construct a feature matrix at the same moment, constructs an environmental impact model, takes the feature matrix at the previous moment as input, outputs predicted soil temperature, performs data processing on soil characteristic parameters to generate a soil impact coefficient, calculates a suitable coefficient of soil temperature according to the predicted soil temperature and an optimal soil temperature range for earthworm breeding, then performs data processing on the suitable coefficient of soil temperature and the soil impact coefficient to generate a comprehensive evaluation coefficient for comprehensively evaluating the suitability of soil temperature for earthworm breeding, thereby truly reflecting the impact of changes in environment and soil characteristics on soil temperature through the comprehensive evaluation coefficient, and improving the accuracy of soil temperature prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a block diagram of the module composition of the present invention;

[0046] Figure 2 It is a schematic diagram of the overall method flow of the present invention. DETAILED DESCRIPTION

[0047] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0048] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0049] Embodiment 1:

[0050] See also Figure 1 , the present invention provides a technical solution:

[0051] A temperature control system based on earthworm breeding environment temperature prediction, comprising:

[0052] The data acquisition module is used to continuously collect the soil temperature and environmental parameters that affect the earthworm breeding soil temperature at T historical moments at equal time intervals, and collect the soil temperature, soil characteristic parameters and environmental parameters at the current moment. The environmental parameters include air humidity, wind speed and light intensity, and the soil characteristic parameters include soil humidity, soil salt concentration and soil density;

[0053] The feature matrix construction module is used to normalize the environmental parameters of T historical moments and the current moment, obtain the normalized values ​​of air humidity, wind speed and light intensity of T historical moments and the current moment, and use the soil temperature and normalized environmental parameters at the same moment to construct the feature matrix at the same moment;

[0054] The environmental impact model building module is used to build the environmental impact model, taking the feature matrix at the previous moment as input and the soil temperature at the next moment as a label to train the environmental impact model, and inputting the feature matrix at the current moment into the trained environmental impact model to obtain the predicted soil temperature;

[0055] A data analysis module is used to process and analyze the soil characteristic parameters, generate a soil influence coefficient for evaluating the suitability of the soil environment for earthworm survival, and calculate the suitability coefficient of the soil temperature based on the predicted soil temperature and the optimal soil temperature range for earthworm breeding;

[0056] The comprehensive evaluation module is used to process the soil temperature suitability coefficient and soil influence coefficient to generate a comprehensive evaluation coefficient for comprehensively evaluating the suitability of soil temperature for earthworm farming, and to execute the corresponding temperature control method according to the value range of the comprehensive evaluation coefficient.

[0057] On the basis of the above embodiment, after collecting air humidity, wind speed and light intensity, these environmental parameters are respectively subjected to maximum-minimum normalization processing, and then the normalized data is used for subsequent analysis and processing, so that in the subsequent analysis and processing process, various data are analyzed and processed under the same dimension, avoiding the problem of some data being neglected due to different dimensions, and when performing maximum-minimum normalization processing, the environmental parameters and soil characteristic parameters at the current moment are subjected to maximum-minimum normalization processing together with the environmental parameters in the historical time period to maintain consistency in data processing.

[0058] Among them, the data acquisition module includes a temperature sensor, a humidity sensor, an anemometer, a light meter and a soil density meter. The temperature sensor, the humidity sensor, the anemometer and the light meter are used to collect the temperature, air humidity, wind speed and light intensity of the earthworm breeding environment respectively. The temperature sensor, the humidity sensor, the anemometer and the light meter can all use models in existing equipment and are not limited here.

[0059] Temperature sensors, humidity sensors for detecting air humidity, anemometers and light meters are all in multiple groups (such as 3 groups). Air humidity, wind speed and light intensity are detected at different positions. Humidity sensors, soil conductivity meters and soil densitometers for detecting soil moisture are placed at different depths in the soil (such as the surface and bottom layers) to measure soil moisture, salt concentration in the soil and soil density. The same data detected at different positions are then averaged, and the final average is used as the corresponding data in the state parameter to avoid accidental errors in individual point sampling.

[0060] On the basis of the above embodiment, the soil temperature at the same time and the normalized environmental parameters are used to construct the feature matrix at the same time, which is in the following form:

[0061]

[0062] in, is the feature matrix at the same time, is the soil temperature, is the normalized value of air humidity, is the normalized value of wind speed, is the normalized value of light intensity.

[0063] On the basis of the above embodiment, the environmental impact model is formed by a deep neural network based on a multilayer perceptron, and the deep neural network of the multilayer perceptron includes an input layer, a first hidden layer, a second hidden layer, a third hidden layer and an output layer, and the first hidden layer, the second hidden layer and the third hidden layer each have at least two neurons, and each uses ReLU as an activation function;

[0064] In this embodiment, the input features of the deep learning network of the multilayer perceptron include: soil temperature, normalized value of air humidity, normalized value of wind speed, normalized value of light intensity, four features;

[0065] The structure of the deep learning network of multi-layer perceptron is:

[0066] Input layer: receives input of 4 features;

[0067] The first hidden layer has 64 neurons and uses ReLU as the activation function.

[0068] The second hidden layer has 32 neurons and also uses the ReLU activation function.

[0069] The third hidden layer has 16 neurons and uses the ReLU activation function.

[0070] Output layer: has a single neuron, predicted soil temperature.

[0071] On the basis of the above embodiment, the soil characteristic parameters are subjected to data processing and correlation analysis to generate a soil influence coefficient for evaluating the suitability of the soil environment for earthworm survival, based on the following formula:

[0072]

[0073]

[0074] in, is the soil moisture deviation value, which is used to measure the degree to which soil moisture deviates from the suitable humidity range. The larger the soil moisture deviation value, the less suitable the soil moisture is, and thus the less conducive it is to earthworm breeding. is the mean soil moisture, is the lower limit of the suitable soil moisture range. It is the upper limit of the suitable soil moisture range;

[0075] is the soil salt concentration deviation value, which is used to measure the degree to which the soil salt concentration deviates from the appropriate concentration range. The larger the soil salt concentration deviation value, the less suitable the soil salt concentration is, and thus the less conducive it is to earthworm farming. is the mean soil salt concentration, is the lower limit of the suitable soil salt concentration range, is the upper limit of the suitable salt concentration range of the soil;

[0076] is the soil density deviation value, which is used to measure the degree to which the soil density deviates from the suitable density range. The larger the soil density deviation value, the less suitable the soil density is, and thus the less conducive it is to earthworm farming. is the mean soil density, is the lower limit of the suitable soil density range, is the upper limit of the suitable density range of soil;

[0077] It should be noted that the lower and upper limits of the suitable humidity range, the lower and upper limits of the suitable salt concentration range, and the lower and upper limits of the suitable density range can be obtained from the technical manual of earthworm farming;

[0078] in, The soil influence coefficient is used to comprehensively evaluate the influence of soil characteristic parameters on soil temperature from three levels: moisture, salt concentration and density. The larger the soil influence coefficient, the more unfavorable it is for earthworm farming.

[0079] The reasons for setting the above function form to express the functional relationship between the soil influence coefficient and the soil moisture deviation value, soil salt concentration deviation value, and soil density deviation value are as follows:

[0080] First, soil moisture is one of the important factors affecting the survival of earthworms. Too dry or too wet soil will have a negative impact on the growth of earthworms. The soil moisture deviation value directly reflects the deviation of soil moisture from the appropriate humidity range.

[0081] Using a linear relationship ( ) is used to represent humidity deviation because changes in humidity will directly affect the physiological state of earthworms. The greater the humidity deviation, the lower the survival suitability. Therefore, a linear relationship can simply and effectively reflect this impact.

[0082] Second, salt concentration also has a significant impact on the survival of earthworms. Appropriate salt concentration can promote the growth of earthworms, while too high or too low salt concentration will inhibit their survival.

[0083] use The form of square root is because the effects of salt are not usually linear. Small deviations in salt concentration may have little effect on earthworms, but as deviations increase, their negative effects increase significantly. Using square root can reduce the impact of small deviations on the overall assessment to some extent, while emphasizing the severity of large deviations.

[0084] Third, soil density affects the aeration and water retention capacity of the soil, which is directly related to the living environment of earthworms. Therefore, the deviation of soil density is also a key parameter for evaluating the suitability of earthworm survival.

[0085] Using a linear relationship ( ) is used to express density deviation because the increase in density deviation is directly related to the deterioration of the living environment of earthworms. The increase in density will affect the air permeability and water flow of the soil, and the living space of earthworms will be oppressed. Therefore, using a linear form can clearly reflect this direct relationship.

[0086] Fourth, weight coefficient ( , , ) is used to adjust the influence coefficient of different parameters on soil These weights reflect the importance of soil moisture, salt concentration and density to the suitability of earthworm survival.

[0087] In the formula, , , are preset proportional factors. Specifically, it is the weight of soil moisture in evaluating the influence of soil characteristic parameters on soil temperature. Specifically, it is the weight of soil salt concentration in evaluating the influence of soil characteristic parameters on soil temperature. Specifically, it is the weight of soil density in assessing the influence of soil characteristic parameters on soil temperature;

[0088] Humidity is usually one of the main factors affecting soil temperature, because soil moisture directly affects the heat conduction capacity and evaporation heat dissipation process. Therefore, the correlation between humidity and soil temperature is the largest, and it is given the highest weight. The effect of salt concentration on soil is more complicated. When the salt concentration is in an appropriate range, its effect on soil temperature is relatively small; but when the salt concentration deviation is large, its impact will increase significantly. Therefore, the correlation between salt concentration and soil temperature is not as high as the correlation between humidity and soil temperature. Soil density usually changes within a relatively narrow range. For example, increasing organic matter can increase the porosity of the soil and thus reduce the density, but this change is usually not as significant and rapid as changes in moisture or salt. Although changes in soil density can affect thermal conductivity and heat capacity, compared with the influence mechanism of moisture and salt, its influence is usually slower and more gradual, so it is given the lowest weight. On the basis of ;

[0089] As an implementation method, The value range is 0.45-0.50, The value range is 0.3-0.40, The value range is 0.1-0.25. The specific value is set by the technicians according to the actual situation and is not limited here.

[0090] On the basis of the above embodiment, the soil temperature suitability coefficient is calculated according to the predicted soil temperature and the optimal soil temperature range for earthworm breeding, and the formula is as follows:

[0091]

[0092] in, is the suitability coefficient of soil temperature, which is used to measure the suitability of the predicted soil temperature for earthworm farming. Predict the soil temperature. The smaller the soil temperature suitability coefficient is, the more suitable it is for earthworm breeding. is the lower limit of the suitable temperature range of the soil. It is the upper limit of the suitable temperature range for the soil.

[0093] It should be noted that the lower and upper limits of the suitable temperature range of the soil can be obtained from the technical manual of earthworm farming.

[0094] On the basis of the above embodiment, the soil influence coefficient and the soil temperature suitability coefficient are processed to generate a comprehensive evaluation coefficient for comprehensively evaluating the suitability of soil temperature for earthworm farming, according to the following formula:

[0095]

[0096] in, It is a comprehensive evaluation coefficient, which is used to comprehensively evaluate the soil temperature for earthworm farming by combining the soil influence coefficient and the soil temperature suitability coefficient. The smaller the comprehensive evaluation coefficient is, the more suitable the soil temperature for earthworm farming is, and the more conducive it is to earthworm farming.

[0097] It should be noted that, as can be seen from the above description, the suitability coefficient of soil temperature is The smaller it is, the more suitable it is for earthworm farming. The soil influence coefficient The smaller it is, the more conducive it is to earthworm farming, so the comprehensive evaluation coefficient Suitability coefficient with soil temperature , Soil influence coefficient All are positively correlated, so the above weighted summation form of comprehensive evaluation coefficient calculation formula is set;

[0098] In the formula, and are the weights in the calculation of temperature suitability index and soil influence coefficient, respectively, and , The specific value of is determined by the hierarchical analysis method, and the specific logic is as follows:

[0099] The two indicators of soil temperature suitability coefficient and soil influence coefficient are marked, and the relative importance between them is determined by the nine-scale method to construct a judgment matrix, in which the index of temperature suitability index is marked as 1 and the index of soil influence coefficient is marked as 2. for:

[0100]

[0101] in, , denotes the index of the coefficient, and , , indicating that the index is The importance of the coefficient of index v to the comprehensive evaluation coefficient is The specific value is determined by relevant experts using a 1-9 scoring method. Indicates that the index is The coefficient of is extremely important for the comprehensive evaluation coefficient compared to the coefficient with index v. Indicates that the index is The coefficient of is extremely unimportant to the comprehensive evaluation coefficient compared to the coefficient with index v;

[0102] Each element value in the judgment matrix is ​​divided by the sum of its columns to obtain a normalized judgment matrix. The mean of the element values ​​in each row of the normalized judgment matrix is ​​calculated, and the mean of the element values ​​in the first row is used as the proportional coefficient of the suitability coefficient of soil temperature, and the mean of the element values ​​in the second row is used as the proportional coefficient of the soil influence coefficient. With the constraint that the sum of the scaled values ​​is equal to 1, the two proportional coefficients are scaled in equal proportion, and the values ​​obtained after scaling are used as the weights of the corresponding coefficients.

[0103] On the basis of the above embodiment, according to the value range of the comprehensive evaluation coefficient, the corresponding temperature control method is executed, and the specific process is as follows:

[0104] When the comprehensive evaluation coefficient If the predicted soil temperature is not suitable for earthworm farming, it is necessary to significantly adjust the soil temperature at the current moment, such as increasing the ventilation time, spraying water mist to cool down, or increasing the heating equipment and heating time to increase the temperature;

[0105] When the comprehensive evaluation coefficient If the predicted soil temperature is slightly higher or lower, it is necessary to slightly adjust the soil temperature at the current moment, such as increasing the water mist and ventilation times to cool down or increasing the heating equipment and heating time to heat up;

[0106] When the comprehensive evaluation coefficient , if the predicted soil temperature is suitable for earthworm breeding, the soil temperature at the current moment will be kept unchanged.

[0107] See also Figure 2 , the present invention also provides a technical solution:

[0108] A temperature control method based on earthworm breeding environment temperature prediction, the control method is generated based on any of the above-mentioned temperature control systems based on earthworm breeding environment temperature prediction, and the specific steps include:

[0109] S1. Continuously collect the soil temperature and environmental parameters affecting the soil temperature of earthworm farming at T historical moments at equal time intervals, and collect the soil temperature, soil characteristic parameters and environmental parameters at the current moment. The environmental parameters include air humidity, wind speed and light intensity, and the soil characteristic parameters include soil humidity, soil salt concentration and soil density;

[0110] S2. Normalize the environmental parameters of T historical moments and the current moment, obtain the normalized values ​​of air humidity, wind speed and light intensity of T historical moments and the current moment, and construct the feature matrix at the same moment using the soil temperature and the normalized environmental parameters at the same moment;

[0111] S3. construct an environmental impact model, take the feature matrix at the previous moment as input, and the soil temperature at the next moment as a label to train the environmental impact model, and input the feature matrix at the current moment into the trained environmental impact model to obtain the predicted soil temperature;

[0112] S4. Processing the soil characteristic parameters and conducting correlation analysis to generate a soil influence coefficient for evaluating the suitability of the soil environment for earthworm survival, and calculating the suitability coefficient of the soil temperature based on the predicted soil temperature and the optimal soil temperature range for earthworm breeding;

[0113] S5. Process the soil temperature suitability coefficient and soil influence coefficient to generate a comprehensive evaluation coefficient for comprehensively evaluating the suitability of soil temperature for earthworm farming, and execute the corresponding temperature control method according to the value range of the comprehensive evaluation coefficient.

[0114] 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 in the formula are set by technicians in this field according to actual conditions.

[0115] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by computer software, electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software depends on the specific application and design constraints of the technical solution.

[0116] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0117] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the 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.

[0118] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0119] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the 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.

Claims

1. A temperature control system based on earthworm breeding environment temperature prediction, characterized in that: include: The data acquisition module is used to continuously collect the soil temperature and environmental parameters that affect the earthworm breeding soil temperature at T historical moments at equal time intervals, and collect the soil temperature, soil characteristic parameters and environmental parameters at the current moment. The environmental parameters include air humidity, wind speed and light intensity, and the soil characteristic parameters include soil humidity, soil salt concentration and soil density; The feature matrix construction module is used to normalize the environmental parameters of T historical moments and the current moment, obtain the normalized values ​​of air humidity, wind speed and light intensity of T historical moments and the current moment, and use the soil temperature and normalized environmental parameters at the same moment to construct the feature matrix at the same moment; The environmental impact model building module is used to build the environmental impact model, taking the feature matrix at the previous moment as input and the soil temperature at the next moment as a label to train the environmental impact model, and inputting the feature matrix at the current moment into the trained environmental impact model to obtain the predicted soil temperature; A data analysis module is used to process and analyze the soil characteristic parameters, generate a soil influence coefficient for evaluating the suitability of the soil environment for earthworm survival, and calculate the suitability coefficient of the soil temperature based on the predicted soil temperature and the optimal soil temperature range for earthworm breeding; The comprehensive evaluation module is used to process the soil temperature suitability coefficient and soil influence coefficient to generate a comprehensive evaluation coefficient for comprehensively evaluating the suitability of soil temperature for earthworm farming, and to execute the corresponding temperature control method according to the value range of the comprehensive evaluation coefficient.

2. The temperature control system based on earthworm breeding environment temperature prediction according to claim 1 is characterized in that: Using the soil temperature at the same time and the normalized environmental parameters, the feature matrix at the same time is constructed in the following form: in, is the feature matrix at the same time, is the soil temperature, is the normalized value of air humidity, is the normalized value of wind speed, is the normalized value of light intensity.

3. The temperature control system based on earthworm breeding environment temperature prediction according to claim 2 is characterized in that: The environmental impact model is constructed using a deep neural network based on a multilayer perceptron. The deep neural network of the multilayer perceptron includes an input layer, a first hidden layer, a second hidden layer, a third hidden layer and an output layer. The first hidden layer, the second hidden layer and the third hidden layer each have at least two neurons and each use ReLU as an activation function.

4. The temperature control system based on earthworm breeding environment temperature prediction according to claim 3 is characterized in that: The soil characteristic parameters were processed and correlated to generate the soil influence coefficient used to evaluate the suitability of the soil environment for earthworm survival. The formula is as follows: in, is the soil moisture deviation value, which is used to measure the degree to which soil moisture deviates from the appropriate humidity range. is the mean soil moisture, is the lower limit of the suitable soil moisture range. is the upper limit of the suitable soil moisture range; is the soil salt concentration deviation value, which is used to measure the degree to which the soil salt concentration deviates from the appropriate concentration range. The mean soil salt concentration is the lower limit of the suitable soil salt concentration range, is the upper limit of the suitable salt concentration range of the soil; is the soil density deviation value, which is used to measure the degree to which the soil density deviates from the appropriate density range. is the mean soil density, is the lower limit of the suitable soil density range, is the upper limit of the suitable density range of soil; in, The soil influence coefficient is used to comprehensively evaluate the suitability of the soil environment for earthworm survival from three levels: moisture, salt concentration, and density. ,and .

5. The temperature control system based on earthworm breeding environment temperature prediction according to claim 4 is characterized in that: According to the predicted soil temperature and the optimal soil temperature range for earthworm farming, the soil temperature suitability coefficient is calculated based on the following formula: in, is the suitability coefficient of soil temperature, which is used to measure the degree to which the predicted soil temperature is suitable for earthworm breeding. Predicted temperature for soil, is the lower limit of the suitable temperature range of the soil. It is the upper limit of the suitable temperature range for the soil.

6. The temperature control system based on earthworm breeding environment temperature prediction according to claim 5 is characterized in that: The soil influence coefficient and the soil temperature suitability coefficient are processed to generate a comprehensive evaluation coefficient for comprehensively evaluating the suitability of soil temperature for earthworm farming. The formula is as follows: in, It is a comprehensive evaluation coefficient, which is used to comprehensively evaluate the soil temperature for earthworm farming by combining the soil influence coefficient and the suitable coefficient of soil temperature. , are the weights of soil temperature suitability coefficient and soil influence coefficient calculation respectively. , The specific value of is determined by the hierarchical analysis method; According to the value range of the comprehensive evaluation coefficient, the corresponding temperature control method is executed. The specific process is as follows: When the comprehensive evaluation coefficient If the predicted soil temperature is not suitable for earthworm farming, it is necessary to significantly adjust the soil temperature at the current moment, such as increasing the ventilation time, spraying water mist to cool down, or increasing the heating equipment and heating time to increase the temperature; When the comprehensive evaluation coefficient If the predicted soil temperature is slightly higher or lower, it is necessary to slightly adjust the soil temperature at the current moment, such as increasing the water mist and ventilation times to cool down or increasing the heating equipment and heating time to heat up; When the comprehensive evaluation coefficient , if the predicted soil temperature is suitable for earthworm breeding, the soil temperature at the current moment will be kept unchanged.

7. A temperature control method based on earthworm breeding environment temperature prediction, characterized in that: The control method is generated based on a temperature control system based on earthworm breeding environment temperature prediction according to any one of claims 1 to 6, and the specific steps include: S1. Continuously collect the soil temperature and environmental parameters affecting the soil temperature of earthworm farming at T historical moments at equal time intervals, and collect the soil temperature, soil characteristic parameters and environmental parameters at the current moment. The environmental parameters include air humidity, wind speed and light intensity, and the soil characteristic parameters include soil humidity, soil salt concentration and soil density; S2. Normalize the environmental parameters of T historical moments and the current moment, obtain the normalized values ​​of air humidity, wind speed and light intensity of T historical moments and the current moment, and construct the feature matrix at the same moment using the soil temperature and the normalized environmental parameters at the same moment; S3. Construct an environmental impact model, use the feature matrix at the previous moment as input, and the soil temperature at the next moment as a label to train the environmental impact model, and input the feature matrix at the current moment into the trained environmental impact model to obtain the predicted soil temperature; S4. Processing the soil characteristic parameters and conducting correlation analysis to generate a soil influence coefficient for evaluating the suitability of the soil environment for earthworm survival, and calculating the suitability coefficient of the soil temperature based on the predicted soil temperature and the optimal soil temperature range for earthworm breeding; S5. Process the soil temperature suitability coefficient and soil influence coefficient to generate a comprehensive evaluation coefficient for comprehensively evaluating the suitability of soil temperature for earthworm farming, and execute the corresponding temperature control method according to the value range of the comprehensive evaluation coefficient.

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