Planting field soil temperature control system and method with intelligent temperature sensing regulation and control

Abstract

The invention provides an intelligent temperature sensing regulation and control planting field soil temperature control system and method, and relates to the technical field of soil temperature control, and the method comprises the steps: obtaining the regional information of a seedling growing planting field, and extracting all soil temperature monitoring sub-blocks according to the regional information of the seedling growing planting field; obtaining block environment data of the soil temperature monitoring sub-block, determining a soil temperature stress factor according to the block environment data, and obtaining all soil temperature stress risk areas in the seedling cultivation field based on the soil temperature stress factor; temperature control resource information in the seedling growing planting field is obtained, a resource area mapping matrix is determined through the temperature control resource information, and a temperature control response strategy is determined through the resource area mapping matrix and the soil temperature stress factor; and performing soil temperature regulation and control on each soil temperature stress risk area according to the temperature control response strategy. According to the invention, risk analysis and resource optimization regulation and control of the soil temperature can be realized, so that the temperature regulation and control precision and regulation and control efficiency of the nursery stock cultivation environment are improved.

Description

Technical Field

[0001] The present application relates to the technical field of soil temperature control, and more specifically, to a soil temperature control system and method for a planting field with intelligent temperature sensing and regulation. Background Art

[0002] Currently, intelligent soil temperature control technology for modern Picea spruce nurseries and plantations has developed a complete closed-loop control system, consisting of three main components: a distributed sensor monitoring network, an IoT data transmission platform, and an intelligent decision-making and execution system. This system utilizes a densely deployed digital temperature sensor network to build a real-time monitoring network, uploading data to a cloud-based control platform via low-power wireless communication technology. The platform analyzes and makes decisions based on a multi-level control algorithm (including threshold triggering, PID regulation, and predictive control), and coordinates precise control of actuating devices such as geothermal cables, intelligent drip irrigation, and automatic shading. The platform also features functional modules for data visualization, abnormality alarms, and remote monitoring, and all subsystems collaborate efficiently through standard communication protocols. With the continuous development of Picea spruce nurseries and plantations in my country, higher requirements are being placed on the efficiency and effectiveness of soil temperature control at these sites.

[0003] Existing technologies often fail to implement precise, zoned monitoring and management of soil temperature within Picea crassifolia nursery areas. This results in uneven temperature control, potentially causing low-temperature stress or localized overheating in some areas, impacting the balanced growth of Picea crassifolia seedlings. Furthermore, the distribution and deployment of temperature-control resources (such as electric heaters, temperature-controlled water pipes, and hot air equipment) often employ a fixed approach, lacking a mechanism for linking to real-time environmental conditions, making it difficult to flexibly allocate resources based on the degree of temperature stress. Furthermore, most existing temperature-control systems lack intelligent response strategies, are unable to dynamically identify potential temperature risks and proactively intervene to control them, employ a single control method, rely on experience-based management, and exhibit a low degree of automation. Therefore, implementing soil temperature risk analysis and resource optimization to improve the accuracy and efficiency of temperature control in seedling cultivation environments has become a challenging issue for the industry. Summary of the Invention

[0004] The present application provides a soil temperature control system and method for a planting field with intelligent temperature sensing and control, which can realize risk analysis and resource optimization control of soil temperature, so as to improve the temperature control accuracy and control efficiency of the seedling cultivation environment.

[0005] In a first aspect, the present application provides a method for controlling soil temperature in a planting field using intelligent temperature sensing and regulation, the method comprising the following steps: Acquire regional information of a nursery and planting field for Picea crassifolia trees, and extract all soil temperature monitoring sub-blocks in the nursery and planting field based on the regional information of the nursery and planting field; Collect block environmental data of each soil temperature monitoring sub-block, determine the soil temperature stress factor of each soil temperature monitoring sub-block based on the corresponding block environmental data, perform risk screening on each soil temperature monitoring sub-block based on the corresponding soil temperature stress factor, and thus obtain all soil temperature stress risk areas in the seedling planting field; Obtaining temperature control resource information in the seedling nursery and planting field, determining a resource area mapping matrix for each soil temperature stress risk zone based on the temperature control resource information, and then determining a temperature control response strategy for each soil temperature stress risk zone in the seedling nursery and planting field based on the corresponding resource area mapping matrix and the corresponding soil temperature stress factor; The soil temperature in each soil temperature stress risk area in the seedling planting field is regulated according to the corresponding temperature control response strategy.

[0006] In this embodiment, extracting all soil temperature monitoring sub-blocks in the seedling nursery and planting field according to the seedling nursery and planting field area information specifically includes: Establishing a spatial grid model in the seedling cultivation field, dividing the seedling cultivation field by the spatial grid model to obtain all soil monitoring grids; Each soil monitoring grid is clustered according to the regional information of the seedling planting field to obtain all the soil temperature monitoring sub-blocks in the seedling planting field.

[0007] In this embodiment, determining the soil temperature stress factor of each soil temperature monitoring sub-block based on the corresponding block environmental data specifically includes: The growth environment parameters of the Qinghai spruce tree roots were obtained through the historical database; For each soil temperature monitoring sub-block, the soil temperature stress factor of the soil temperature monitoring sub-block is determined according to the growth environment parameters of the Qinghai spruce tree roots and the corresponding block environmental data, and then the soil temperature stress factor of each soil temperature monitoring sub-block is obtained.

[0008] In this embodiment, risk screening is performed on each soil temperature monitoring sub-block based on the corresponding soil temperature stress factor, and then all soil temperature stress risk areas in the seedling cultivation field are obtained, including: Pre-set the stress risk threshold for each soil temperature monitoring sub-block in the nursery and planting field; All soil temperature monitoring sub-blocks are risk screened according to the stress risk threshold and each soil temperature stress factor, thereby obtaining all soil temperature stress risk areas in the seedling cultivation field.

[0009] In this embodiment, determining the resource area mapping matrix of each soil temperature stress risk zone through the temperature control resource information specifically includes: Determine the control performance data of each temperature control resource according to the temperature control resource information; The resource area mapping matrix of each soil temperature stress risk zone is constructed based on the regulatory performance data of the corresponding temperature control resources.

[0010] In this embodiment, the temperature control response strategy for each soil temperature stress risk zone in the seedling nursery and planting field is determined by using the corresponding resource area mapping matrix and the corresponding soil temperature stress factor, specifically including: For each soil temperature stress risk zone in the nursery and planting field, the required temperature control resources of the soil temperature stress risk zone are determined according to the corresponding resource area mapping matrix and the corresponding soil temperature stress factor; The temperature control response strategy of the soil temperature stress risk zone is determined by the required temperature control resources, and then the temperature control response strategy of each soil temperature stress risk zone in the seedling planting field is obtained.

[0011] In this embodiment, the soil temperature control of each soil temperature stress risk zone in the seedling nursery and planting field according to the corresponding temperature control response strategy specifically includes: For each soil temperature stress risk area, a temperature control instruction is sent to the required temperature control resources in the soil temperature stress risk area according to the corresponding temperature control response strategy; The required temperature control resources of the soil temperature stress risk zone are regulated according to the temperature control instruction, thereby realizing soil temperature regulation of each soil temperature stress risk zone in the seedling cultivation field.

[0012] In a second aspect, the present application provides a soil temperature control system for a plantation with intelligent temperature sensing and control for executing a soil temperature control method for a plantation with intelligent temperature sensing and control, the soil temperature control system comprising: A block division module is used to obtain the regional information of the nursery and planting field of Picea crassifolia and extract all soil temperature monitoring sub-blocks in the nursery and planting field according to the regional information of the nursery and planting field; A risk screening module is used to collect block environmental data of each soil temperature monitoring sub-block, determine the soil temperature stress factor of each soil temperature monitoring sub-block based on the corresponding block environmental data, and perform risk screening on each soil temperature monitoring sub-block based on the corresponding soil temperature stress factor, thereby obtaining all soil temperature stress risk areas in the seedling planting field; A temperature control strategy module is used to obtain temperature control resource information in the seedling nursery and planting field, determine the resource area mapping matrix of each soil temperature stress risk zone through the temperature control resource information, and then determine the temperature control response strategy of each soil temperature stress risk zone in the seedling nursery and planting field through the corresponding resource area mapping matrix; The temperature control execution module is used to regulate the soil temperature in each soil temperature stress risk area in the seedling planting field according to the corresponding temperature control response strategy.

[0013] In a third aspect, the present application provides a computer device, which includes a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned intelligent temperature sensing and regulation method for controlling soil temperature in a planting field.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes are run on a computer, the computer implements the above-mentioned method for controlling soil temperature in a planting field with intelligent temperature sensing and regulation.

[0015] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects: By obtaining the regional information of the seedling planting field of Qinghai spruce trees, all soil temperature monitoring sub-blocks in the seedling planting field are extracted according to the regional information of the seedling planting field; the block environmental data of each soil temperature monitoring sub-block is collected, and the soil temperature stress factor of each soil temperature monitoring sub-block is determined according to the corresponding block environmental data, and each soil temperature monitoring sub-block is risk screened based on the corresponding soil temperature stress factor, so as to obtain all soil temperature stress risk areas in the seedling planting field; the temperature control resource information in the seedling planting field is obtained, and the resource area mapping matrix of each soil temperature stress risk area is determined through the temperature control resource information, and then the temperature control response strategy of each soil temperature stress risk area in the seedling planting field is determined through the corresponding resource area mapping matrix and the corresponding soil temperature stress factor; the soil temperature of each soil temperature stress risk area in the seedling planting field is regulated according to the corresponding temperature control response strategy.

[0016] It can be seen that in this application, firstly, by establishing a spatial grid model in the nursery and planting field and clustering each soil monitoring grid based on regional information, it is possible to achieve refined zoning management of the soil environment in the planting area, avoiding the subjectivity and inefficiency of traditional manual experience division, and improving the accuracy and response speed of soil temperature monitoring; then, by collecting the block environmental data of each soil temperature monitoring sub-block and calculating the soil temperature stress factor based on it, it is possible to quantify the degree of influence of soil temperature on the health of seedling roots, and then achieve graded screening of stress risks in different sub-blocks; secondly, by obtaining The temperature control resource information in the seedling planting field is obtained to construct a resource area mapping matrix between the soil temperature stress risk area and the temperature control resources. The differentiated temperature control response strategy is determined in combination with the soil temperature stress factors of each block. This can achieve accurate analysis and targeted regulation of soil temperature risks, avoid resource waste and regulation lag problems, and significantly improve the accuracy and efficiency of soil temperature regulation in the seedling cultivation environment. Finally, by sending control instructions to the temperature control resources in each soil temperature stress risk area according to the temperature control response strategy, precise soil temperature regulation is achieved, and the response speed and execution efficiency of soil temperature regulation are improved.

[0017] In summary, the technical solution adopted in this application can realize risk analysis and resource optimization regulation of soil temperature, so as to improve the temperature regulation accuracy and efficiency of the seedling cultivation environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 This is an exemplary flow chart of the method for controlling soil temperature in a planting field using intelligent temperature sensing and regulation provided by the present application; Figure 2 is an exemplary flow chart for determining the soil temperature stress factor of each soil temperature monitoring sub-block provided by the present application; Figure 3 This is an exemplary flow chart for determining the temperature control response strategy for each soil temperature stress risk zone in a seedling nursery and planting field according to the present application; Figure 4 This is a module structure diagram of the soil temperature control system for a planting field with intelligent temperature sensing and regulation provided by this application; Figure 5 It is a structural diagram of a computer device for realizing a method for controlling soil temperature in a planting field by intelligent temperature sensing and regulation provided in this application. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0021] The embodiment of the present application provides a soil temperature control system and method for a planting field with intelligent temperature sensing and control, the core of which is to obtain the regional information of the nursery planting field of Qinghai spruce trees, extract all soil temperature monitoring sub-blocks in the nursery planting field according to the regional information of the nursery planting field; collect the block environmental data of each soil temperature monitoring sub-block, determine the soil temperature stress factor of each soil temperature monitoring sub-block according to the corresponding block environmental data, and perform risk screening on each soil temperature monitoring sub-block based on the corresponding soil temperature stress factor, thereby obtaining all soil temperature stress risk areas in the nursery planting field; obtain the temperature control resource information in the nursery planting field, determine the resource area mapping matrix of each soil temperature stress risk area through the temperature control resource information, and then determine the temperature control response strategy of each soil temperature stress risk area in the nursery planting field through the corresponding resource area mapping matrix and the corresponding soil temperature stress factor; and perform soil temperature control on each soil temperature stress risk area in the nursery planting field according to the corresponding temperature control response strategy. The above scheme can realize risk analysis and resource optimization control of soil temperature, so as to improve the temperature control accuracy and control efficiency of the seedling cultivation environment.

[0022] Example 1: In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods. Figure 1 As shown in FIG. 1 , this figure is an exemplary flow chart of a method for controlling soil temperature in a planting field using intelligent temperature sensing and control according to an embodiment of the present application. The method for controlling soil temperature includes the following steps: In step S1, the regional information of the nursery and planting field of Picea crassifolia is obtained, and all soil temperature monitoring sub-blocks in the nursery and planting field are extracted based on the regional information of the nursery and planting field.

[0023] In the specific implementation, the regional information of the seedling planting site of Qinghai spruce trees can be obtained, that is, the regional information of the seedling planting site of Qinghai spruce trees can be obtained by using a drone to take aerial photos of the seedling planting site of Qinghai spruce trees. It should be noted that the regional information of the seedling planting site is comprehensive information including the overall spatial scope of the seedling planting site of Qinghai spruce trees, the planting scope of Qinghai spruce trees and the environmental information of the seedling planting site.

[0024] In this embodiment, the following steps may be used to extract all soil temperature monitoring sub-blocks in the seedling nursery and planting field according to the seedling nursery and planting field area information: Establishing a spatial grid model in the seedling cultivation field, dividing the seedling cultivation field by the spatial grid model to obtain all soil monitoring grids; Each soil monitoring grid is clustered according to the regional information of the seedling planting field to obtain all the soil temperature monitoring sub-blocks in the seedling planting field.

[0025] In the specific implementation, first, the grid resolution (1m*1m) can be set to divide the planting range of Qinghai spruce trees in the seedling planting field into uniform square grid units, so that all square grid units can be used as soil monitoring grids; then, the soil temperature history data, soil moisture data and temperature control resource information of each soil monitoring grid can be extracted from the seedling planting field area information, and then the soil temperature history data, soil moisture data and temperature control resource information of each soil monitoring grid can be used as the input of the clustering algorithm, and the K-Means clustering algorithm is used to output the results as all soil temperature monitoring sub-blocks in the seedling planting field.

[0026] It should be noted that by establishing a spatial grid model in the seedling planting field and clustering each soil monitoring grid based on regional information, it is possible to achieve refined zoning management of the soil environment in the planting area, avoiding the subjectivity and inefficiency of traditional manual experience division, and improving the accuracy and response speed of soil temperature monitoring.

[0027] In step S2, the block environmental data of each soil temperature monitoring sub-block is collected, and the soil temperature stress factor of each soil temperature monitoring sub-block is determined based on the corresponding block environmental data. Based on the corresponding soil temperature stress factor, each soil temperature monitoring sub-block is risk screened, and then all soil temperature stress risk areas in the seedling planting field are obtained.

[0028] In specific implementation, the block environmental data of each soil temperature monitoring sub-block is collected, that is, an intelligent sensor can be installed in each soil temperature monitoring sub-block, and the current soil temperature data and current soil moisture data of each soil temperature monitoring sub-block are regularly collected by the intelligent sensor as the block environmental data of each soil temperature monitoring sub-block.

[0029] Preferably, in this embodiment, reference Figure 2 As shown in FIG, this figure is an exemplary flow chart for determining the soil temperature stress factor of each soil temperature monitoring sub-block in an embodiment of the present application. In this embodiment, determining the soil temperature stress factor of each soil temperature monitoring sub-block based on the corresponding block environmental data can be specifically implemented by the following steps: In step S21, the growth environment parameters of the Picea crassifolia root system are obtained through the historical database; In step S22, for each soil temperature monitoring sub-block, the soil temperature stress factor of the soil temperature monitoring sub-block is determined based on the growth environment parameters of the Qinghai spruce tree root system and the corresponding block environmental data, thereby obtaining the soil temperature stress factor of each soil temperature monitoring sub-block; It should be noted that, in this application, the growth environment parameters refer to the multidimensional environmental parameters during the root growth of the Qinghai spruce tree, and the growth environment parameters include the lower temperature limit, upper temperature limit and humidity threshold of the Qinghai spruce tree root growth; the soil temperature stress factor is a vector factor indicating the degree of influence of the current soil temperature conditions on the growth of the Qinghai spruce tree root system, and the soil temperature stress factor includes the cold damage stress index, the heat damage stress index and the heat capacity imbalance index, wherein the cold damage stress index is the soil temperature in the plant root zone lower than the lower temperature limit of the Qinghai spruce tree root growth. The heat stress index is an indicator of the degree of cold damage risk faced by the roots of Picea crassifolia when the soil temperature in the root zone of the plant is higher than the upper limit of the root growth temperature of Picea crassifolia. The higher the heat stress index, the higher the risk of heat damage faced by the roots of Picea crassifolia. The heat capacity imbalance index is an index used to indicate the degree of deviation between the actual soil moisture and the optimum moisture. The higher the heat capacity imbalance index, the higher the heat capacity imbalance degree of the roots of Picea crassifolia.

[0030] In the specific implementation, first, the growth environment parameters of the Qinghai spruce tree root system can be collected from the historical database, including the lower temperature limit, upper temperature limit, growth temperature and humidity threshold; then, for each soil temperature monitoring sub-block, the soil temperature stress factor of the soil temperature monitoring sub-block can be determined according to the growth environment parameters of the Qinghai spruce tree root system and the corresponding block environmental data, that is, for each soil temperature monitoring sub-block, the current soil temperature and current soil humidity of the soil temperature monitoring sub-block can be extracted from the block environmental data of the corresponding soil temperature monitoring sub-block, so as to determine the cold damage stress index, heat damage stress index and so on of the soil temperature monitoring sub-block respectively through the current soil temperature of the soil temperature monitoring sub-block and the lower temperature limit, upper temperature limit, growth temperature and humidity threshold of the Qinghai spruce tree root system growth. The chilling stress index and heat capacity imbalance index can be calculated by subtracting the ratio of the current soil temperature to the lower temperature limit for the root growth of Picea crassifolia from 1, and taking the result as the chilling stress index of the soil temperature monitoring subblock. When the current soil temperature is greater than the lower temperature limit for the root growth of Picea crassifolia, the chilling stress index is 0. The heat stress index of the soil temperature monitoring subblock can be calculated by comparing the value obtained by subtracting the upper temperature limit from the current soil temperature with the value obtained by subtracting the growth temperature from the current soil temperature. When the current soil temperature is less than the upper temperature limit for the root growth of Picea crassifolia, the heat stress index is 0. The heat capacity imbalance index of the soil temperature monitoring subblock can be calculated by subtracting the absolute value of the current soil moisture from the moisture threshold to the moisture threshold.

[0031] In addition, in the specific implementation, the cold damage stress index, heat damage stress index and heat capacity imbalance index of the soil temperature monitoring sub-block can be used as component elements and merged into a vector, and the obtained vector is used as the soil temperature stress factor of the soil temperature monitoring sub-block. The soil temperature stress factor of each soil temperature monitoring sub-block can be obtained in the above way.

[0032] In this embodiment, risk screening is performed on each soil temperature monitoring sub-block based on the corresponding soil temperature stress factor, and then all soil temperature stress risk areas in the seedling cultivation field are obtained. Specifically, the following steps can be used: Pre-set the stress risk threshold for each soil temperature monitoring sub-block in the nursery and planting field; All soil temperature monitoring sub-blocks are risk screened according to the stress risk threshold and each soil temperature stress factor, thereby obtaining all soil temperature stress risk areas in the seedling cultivation field.

[0033] In specific implementation, first, the stress risk threshold of each soil temperature monitoring sub-block in the nursery and planting field can be pre-set through historical experience and data analysis, wherein the stress risk threshold is the numerical limit of the growth environment where the seedlings are in an unfavorable growth environment state, and the stress risk threshold includes the cold damage stress threshold, the heat damage stress threshold and the heat capacity imbalance threshold; then, all the soil temperature monitoring sub-blocks can be risk screened according to the stress risk threshold and each soil temperature stress factor, that is, for all the soil temperature monitoring sub-blocks, the soil temperature stress factor of the corresponding soil temperature monitoring sub-block can be compared with the stress risk threshold, that is, the cold damage stress index, heat damage stress index and heat capacity imbalance index in the soil temperature stress factor of the soil temperature monitoring sub-block are respectively compared with the cold damage stress index in the stress risk threshold. The soil temperature monitoring sub-block corresponding to the chilling stress index greater than the chilling stress threshold is taken as the chilling stress risk area, the soil temperature monitoring sub-block corresponding to the heat damage stress index greater than the heat damage stress threshold is taken as the heat damage stress risk area, and the soil temperature monitoring sub-block corresponding to the heat capacity imbalance index greater than the heat capacity imbalance threshold is taken as the heat capacity imbalance risk area; finally, all chilling stress risk areas, heat damage stress risk areas and heat capacity imbalance risk areas are taken as all soil temperature stress risk areas in the seedling planting field. It should be noted that the soil temperature stress risk area refers to the area in the seedling planting field where the seedlings may be adversely affected by heat damage, chilling damage or water-heat imbalance because the soil temperature deviates from the growth environment parameters of the Qinghai spruce root system.

[0034] It should be noted that by collecting block environmental data of each soil temperature monitoring sub-block and calculating the soil temperature stress factors (such as high temperature stress index, low temperature stress index and heat capacity imbalance index) based on this, it is possible to quantify the impact of soil temperature on the health of seedling roots, and then realize the graded screening of stress risks in different sub-blocks, which effectively solves the problem of lack of risk identification mechanism with high spatial resolution and precise response in traditional temperature management, avoids the disadvantages of high energy consumption and low control efficiency brought about by "integrated temperature control in the whole area", and lays the foundation for subsequent refined temperature control resource allocation and dynamic response control.

[0035] In step S3, the temperature control resource information in the seedling planting field is obtained, and the resource area mapping matrix of each soil temperature stress risk zone is determined through the temperature control resource information, and then the temperature control response strategy of each soil temperature stress risk zone in the seedling planting field is determined respectively through the corresponding resource area mapping matrix and the corresponding soil temperature stress factor.

[0036] In this embodiment, the temperature control resource information in the seedling nursery is obtained; in specific implementation, the types of temperature control resources deployed in the seedling nursery can be integrated into the management system of the nursery to obtain the temperature control resource information in the seedling nursery. It should be noted that the temperature control resource information is the facility information used to regulate soil temperature in the seedling nursery, and the temperature control resources include surface water spraying systems, underground heating pipes and covering materials.

[0037] In this embodiment, determining the resource area mapping matrix of each soil temperature stress risk zone using the temperature control resource information can be specifically implemented by the following steps: Determine the control performance data of each temperature control resource according to the temperature control resource information; The resource area mapping matrix of each soil temperature stress risk zone is constructed based on the regulatory performance data of the corresponding temperature control resources.

[0038] In specific implementation, first, the regulation performance data of each temperature control resource can be determined according to the temperature control resource information, that is, for each temperature control resource in the seedling planting field, the regulation performance data of the temperature control resource can be obtained through the temperature control resource information, thereby obtaining the regulation performance data of each temperature control resource, wherein the regulation performance data is the performance parameter information of the temperature control resource, which includes the temperature control response speed, coverage range and adjustable temperature range; then, the resource area mapping matrix of each soil temperature stress risk zone can be constructed according to the regulation performance data of the corresponding temperature control resource, that is, for each soil temperature stress risk zone, the soil temperature stress risk zone can be determined. The temperature control resources that can be called by the soil temperature stress risk zone, that is, if the control range of the temperature control resource can cover the soil temperature stress risk zone, then the temperature control resource can be called by the soil temperature stress risk zone, thereby constructing the resource area mapping matrix of the soil temperature stress risk zone based on the control performance data of the temperature control resource that can be called, that is, each soil temperature stress risk zone is used as the column of the resource area mapping matrix, and each temperature control resource is used as the row of the resource area mapping matrix. The elements in the resource area mapping matrix are the control capabilities of the temperature control resources that can be called by each soil temperature stress risk zone, such as for each resource area mapping matrix element Indicates temperature control resources Soil temperature stress risk areas The control capability possessed, where the control capability refers to the temperature control response speed and controllable temperature range of the corresponding temperature control resources, thereby obtaining the resource area mapping matrix of each soil temperature stress risk zone. It should be noted that in this application, the resource area mapping matrix is ​​a two-dimensional matrix representing the interaction relationship between temperature control resources and soil temperature stress risk zones.

[0039] Preferably, in this embodiment, reference Figure 3As shown in the figure, this figure is an exemplary flow chart of the temperature control response strategy for determining each soil temperature stress risk zone in the seedling cultivation field in an embodiment of the present application. In this embodiment, the temperature control response strategy for each soil temperature stress risk zone in the seedling cultivation field is determined by the corresponding resource area mapping matrix and the corresponding soil temperature stress factor. Specifically, the following steps can be used to implement it: In step S31, for each soil temperature stress risk area in the seedling nursery and planting field, the required temperature control resources of the soil temperature stress risk area are determined according to the corresponding resource area mapping matrix and the corresponding soil temperature stress factor; In step S32, the temperature control response strategy of the soil temperature stress risk zone is determined by the required temperature control resources, and then the temperature control response strategy of each soil temperature stress risk zone in the seedling cultivation field is obtained.

[0040] In specific implementation, first, for each soil temperature stress risk zone in the seedling planting field, the required temperature control resources of the soil temperature stress risk zone can be determined according to the corresponding resource area mapping matrix and the corresponding soil temperature stress factor, that is, for each soil temperature stress risk zone in the seedling planting field, the temperature stress type of the soil temperature stress risk zone can be determined according to the corresponding soil temperature stress factor, that is, the temperature stress type of the soil temperature stress risk zone can be determined by comparing the cold damage stress index, heat damage stress index and heat capacity imbalance index in the soil temperature stress factor of the soil temperature stress risk zone with the cold damage stress threshold, heat damage stress threshold and heat capacity imbalance threshold, so as to extract the temperature control resources that can regulate the temperature of the soil temperature stress risk zone from the corresponding resource area mapping matrix according to the temperature stress type of the soil temperature stress risk zone as the required temperature control resources of the soil temperature stress risk zone. It should be noted that the required temperature control resources are the temperature control resources for regulating the soil temperature stress risk zone in the corresponding soil temperature stress risk zone. temperature control resources for soil temperature; the temperature stress type is the soil temperature stress type of the soil temperature stress risk zone, namely, the cold damage stress type, the heat damage stress type, the heat capacity imbalance type and the comprehensive stress type, and the comprehensive stress type refers to the soil temperature stress type in which there is more than one stress index greater than the stress threshold in the corresponding soil temperature stress factor; then, the temperature control response strategy of the soil temperature stress risk zone can be determined by the demand temperature control resources, that is, for each soil temperature stress risk zone in the seedling planting field, the temperature control method can be determined according to the demand temperature control resources of the corresponding soil temperature stress risk zone, so as to set the response parameters for the demand temperature control resources of the soil temperature stress risk zone, that is, the set response parameters can be used as the temperature control response strategy of the soil temperature stress risk zone. The temperature control response strategy of each soil temperature stress risk zone in the seedling planting field can be obtained by the above method, wherein, it should be noted that the response parameters are the instruction parameters for regulating the temperature control resources, including the start timing, regulation duration and regulation power.

[0041] It should be noted that by obtaining temperature control resource information in the seedling planting site, constructing a resource area mapping matrix between soil temperature stress risk areas and temperature control resources, and combining the soil temperature stress factors of each block to determine differentiated temperature control response strategies, it is possible to achieve accurate analysis and targeted regulation of soil temperature risks, avoid resource waste and regulation lag problems, significantly improve the accuracy and efficiency of soil temperature regulation in the seedling cultivation environment, and achieve optimal allocation and intelligent scheduling of temperature control resources.

[0042] In step S4, the soil temperature of each soil temperature stress risk area in the seedling nursery and planting field is regulated according to the corresponding temperature control response strategy.

[0043] In this embodiment, soil temperature control in each soil temperature stress risk zone in the seedling nursery and planting field according to the corresponding temperature control response strategy can be specifically implemented by the following steps: For each soil temperature stress risk area, a temperature control instruction is sent to the required temperature control resources in the soil temperature stress risk area according to the corresponding temperature control response strategy; The required temperature control resources of the soil temperature stress risk zone are regulated according to the temperature control instruction, thereby realizing soil temperature regulation of each soil temperature stress risk zone in the seedling cultivation field.

[0044] In the specific implementation, first, for each soil temperature stress risk zone, a temperature control instruction is sent to the demand temperature control resource in the soil temperature stress risk zone according to the corresponding temperature control response strategy, wherein the temperature control instruction refers to an electrical signal instruction that allows the temperature control resource to perform regulation operations according to the response parameters. When the demand temperature control resource receives the temperature control instruction, it performs regulation operations according to the response parameters (such as start timing, regulation duration and regulation power), thereby adjusting the soil temperature of the soil temperature stress risk zone, completing the soil temperature regulation of the soil temperature stress risk zone, and thus completing the soil temperature regulation of each soil temperature stress risk zone in the seedling planting field.

[0045] It should be noted that by sending control instructions to the temperature control resources in each soil temperature stress risk area according to the temperature control response strategy, precise soil temperature control is achieved, the response speed and execution efficiency of soil temperature control are improved, and the dual goals of intelligent analysis of soil temperature risks and optimal allocation of temperature control resources are achieved.

[0046] It can be seen that in this application, firstly, by establishing a spatial grid model in the nursery and planting field and clustering each soil monitoring grid based on regional information, it is possible to achieve refined zoning management of the soil environment in the planting area, avoiding the subjectivity and inefficiency of traditional manual experience division, and improving the accuracy and response speed of soil temperature monitoring; then, by collecting the block environmental data of each soil temperature monitoring sub-block and calculating the soil temperature stress factor based on it, it is possible to quantify the degree of influence of soil temperature on the health of seedling roots, and then achieve graded screening of stress risks in different sub-blocks; secondly, by obtaining The temperature control resource information in the seedling planting field is obtained to construct a resource area mapping matrix between the soil temperature stress risk area and the temperature control resources. The differentiated temperature control response strategy is determined in combination with the soil temperature stress factors of each block. This can achieve accurate analysis and targeted regulation of soil temperature risks, avoid resource waste and regulation lag problems, and significantly improve the accuracy and efficiency of soil temperature regulation in the seedling cultivation environment. Finally, by sending control instructions to the temperature control resources in each soil temperature stress risk area according to the temperature control response strategy, precise soil temperature regulation is achieved, and the response speed and execution efficiency of soil temperature regulation are improved.

[0047] In summary, the technical solution adopted in this application can realize risk analysis and resource optimization regulation of soil temperature, so as to improve the temperature regulation accuracy and efficiency of the seedling cultivation environment.

[0048] Example 2: This application provides a reference for a soil temperature control system for a plantation with intelligent temperature sensing and control. Figure 4 As shown, this figure is a module structure diagram of the soil temperature control system shown in this embodiment of the present application, and the soil temperature control system includes: The block division module 100 is used to obtain the regional information of the nursery and planting field of Picea crassifolia and extract all the soil temperature monitoring sub-blocks in the nursery and planting field according to the regional information of the nursery and planting field; The risk screening module 200 is used to collect block environmental data of each soil temperature monitoring sub-block, determine the soil temperature stress factor of each soil temperature monitoring sub-block based on the corresponding block environmental data, and perform risk screening on each soil temperature monitoring sub-block based on the corresponding soil temperature stress factor, thereby obtaining all soil temperature stress risk areas in the seedling nursery and planting field; The temperature control strategy module 300 is used to obtain temperature control resource information in the seedling nursery and planting farm, determine the resource area mapping matrix of each soil temperature stress risk zone based on the temperature control resource information, and then determine the temperature control response strategy of each soil temperature stress risk zone in the seedling nursery and planting farm based on the corresponding resource area mapping matrix; The temperature control execution module 400 is used to control the soil temperature of each soil temperature stress risk area in the seedling planting field according to the corresponding temperature control response strategy.

[0049] The above describes in detail the examples of the soil temperature control system and method for the intelligent temperature-sensing and controlled planting field provided by the embodiments of the present application. It can be understood that in order to realize the above functions, the corresponding device includes hardware structures and / or software modules corresponding to the execution of each function. It should be easily appreciated by those skilled in the art that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware 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.

[0050] In embodiment three, the present application also provides a computer device, which includes a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned intelligent temperature sensing and control method for controlling soil temperature in a planting field.

[0051] In this embodiment, reference Figure 5 , the dotted line in the figure indicates that the unit or module is optional. The figure is a structural diagram of a computer device according to an intelligent temperature sensing and regulating method for controlling soil temperature in a planting field provided by an embodiment of the present application. The above-mentioned intelligent temperature sensing and regulating method for controlling soil temperature in a planting field in the above-mentioned embodiment can be Figure 5 The computer device shown in the figure is implemented, and the computer device includes at least one processor 501, a memory 502 and at least one communication unit 505. The computer device can be a terminal device, a server or a chip.

[0052] The processor 501 may be a general-purpose processor or a dedicated processor. For example, the processor 501 may be a central processing unit (CPU). The CPU may be used to control the computer device, execute software programs, and process data from the software programs. The computer device may also include a communication unit 505 to implement signal input (reception) and output (transmission).

[0053] For example, the computer device may be a chip, the communication unit 505 may be an input and / or output circuit of the chip, or the communication unit 505 may be a communication interface of the chip, and the chip may be a component of a terminal device, a network device, or other device.

[0054] For another example, the computer device may be a terminal device or a server, and the communication unit 505 may be a transceiver of the terminal device or the server, or the communication unit 505 may be a transceiver circuit of the terminal device or the server.

[0055] The computer device may include one or more memories 502, on which a program 504 is stored. Program 504 can be executed by processor 501 to generate instructions 503, causing processor 501 to execute the method described in the above method embodiment according to instructions 503. Optionally, memory 502 may also store data (such as a target audit model). Optionally, processor 501 may also read data stored in memory 502. This data may be stored at the same storage address as program 504, or at a different storage address.

[0056] The processor 501 and the memory 502 may be provided separately or integrated together, for example, integrated on a system on chip (SOC) of a terminal device.

[0057] It should be understood that each step of the above method embodiment can be completed by a hardware-based logic circuit or software-based instructions in the processor 501. The processor 501 can be a central processing unit, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, such as discrete gates, transistor logic devices, or discrete hardware components.

[0058] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0059] In the fourth embodiment, the present application also provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes are executed on a computer, the computer implements the above-mentioned method for controlling soil temperature in a planting field with intelligent temperature sensing and regulation.

[0060] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0061] Obviously, those skilled in the art may make various changes and modifications to the present application without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present application fall within the scope of the claims and their equivalents, the present application is intended to include such modifications and variations.

Claims

1. A method for controlling soil temperature in a planting field by intelligent temperature sensing and regulation, characterized in that: The temperature control method comprises the following steps: Acquire regional information of a nursery and planting field for Picea crassifolia trees, and extract all soil temperature monitoring sub-blocks in the nursery and planting field based on the regional information of the nursery and planting field; Collect block environmental data of each soil temperature monitoring sub-block, determine the soil temperature stress factor of each soil temperature monitoring sub-block based on the corresponding block environmental data, perform risk screening on each soil temperature monitoring sub-block based on the corresponding soil temperature stress factor, and thus obtain all soil temperature stress risk areas in the seedling planting field; Obtaining temperature control resource information in the seedling nursery and planting field, determining a resource area mapping matrix for each soil temperature stress risk zone based on the temperature control resource information, and then determining a temperature control response strategy for each soil temperature stress risk zone in the seedling nursery and planting field based on the corresponding resource area mapping matrix and the corresponding soil temperature stress factor; The soil temperature in each soil temperature stress risk area in the seedling planting field is regulated according to the corresponding temperature control response strategy.

2. The method for controlling soil temperature in a planting field by intelligent temperature sensing and regulation according to claim 1, characterized in that: Extracting all soil temperature monitoring sub-blocks in the seedling nursery and planting field according to the seedling nursery and planting field area information specifically includes: Establishing a spatial grid model in the seedling cultivation field, dividing the seedling cultivation field by the spatial grid model to obtain all soil monitoring grids; Each soil monitoring grid is clustered according to the regional information of the seedling planting field to obtain all the soil temperature monitoring sub-blocks in the seedling planting field.

3. The method for controlling soil temperature in a planting field by intelligent temperature sensing and regulation according to claim 1, characterized in that: The soil temperature stress factors of each soil temperature monitoring sub-block are determined based on the corresponding block environmental data, including: The growth environment parameters of the Qinghai spruce tree roots were obtained through the historical database; For each soil temperature monitoring sub-block, the soil temperature stress factor of the soil temperature monitoring sub-block is determined according to the growth environment parameters of the Qinghai spruce tree roots and the corresponding block environmental data, and then the soil temperature stress factor of each soil temperature monitoring sub-block is obtained.

4. The method for controlling soil temperature in a planting field by intelligent temperature sensing and regulation according to claim 1, wherein: Based on the corresponding soil temperature stress factors, risk screening is performed on each soil temperature monitoring sub-block, and then all soil temperature stress risk areas in the seedling planting field are obtained, including: Pre-set the stress risk threshold for each soil temperature monitoring sub-block in the nursery and planting field; All soil temperature monitoring sub-blocks are risk screened according to the stress risk threshold and each soil temperature stress factor, thereby obtaining all soil temperature stress risk areas in the seedling cultivation field.

5. The method for controlling soil temperature in a planting field by intelligent temperature sensing and regulation according to claim 1, characterized in that: Determining the resource area mapping matrix of each soil temperature stress risk zone through the temperature control resource information specifically includes: Determine the control performance data of each temperature control resource according to the temperature control resource information; The resource area mapping matrix of each soil temperature stress risk zone is constructed based on the regulatory performance data of the corresponding temperature control resources.

6. The method for controlling soil temperature in a planting field by intelligent temperature sensing and regulation according to claim 1, characterized in that: The temperature control response strategies for each soil temperature stress risk zone in the nursery and planting field are determined by the corresponding resource area mapping matrix and the corresponding soil temperature stress factor, including: For each soil temperature stress risk zone in the nursery and planting field, the required temperature control resources of the soil temperature stress risk zone are determined according to the corresponding resource area mapping matrix and the corresponding soil temperature stress factor; The temperature control response strategy of the soil temperature stress risk zone is determined by the required temperature control resources, and then the temperature control response strategy of each soil temperature stress risk zone in the seedling planting field is obtained.

7. The method for controlling soil temperature in a planting field by intelligent temperature sensing and regulation according to claim 1, characterized in that: Soil temperature control in each soil temperature stress risk zone in the nursery and planting field is carried out according to the corresponding temperature control response strategy, specifically including: For each soil temperature stress risk area, a temperature control instruction is sent to the required temperature control resources in the soil temperature stress risk area according to the corresponding temperature control response strategy; The required temperature control resources of the soil temperature stress risk zone are regulated according to the temperature control instruction, thereby realizing soil temperature regulation of each soil temperature stress risk zone in the seedling cultivation field.

8. A soil temperature control system for a plantation with intelligent temperature sensing and control, used to implement a soil temperature control method for a plantation with intelligent temperature sensing and control as claimed in any one of claims 1 to 7, characterized in that: The soil temperature control system comprises: A block division module is used to obtain the regional information of the nursery and planting field of Picea crassifolia and extract all soil temperature monitoring sub-blocks in the nursery and planting field according to the regional information of the nursery and planting field; A risk screening module is used to collect block environmental data of each soil temperature monitoring sub-block, determine the soil temperature stress factor of each soil temperature monitoring sub-block based on the corresponding block environmental data, and perform risk screening on each soil temperature monitoring sub-block based on the corresponding soil temperature stress factor, thereby obtaining all soil temperature stress risk areas in the seedling planting field; A temperature control strategy module is used to obtain temperature control resource information in the seedling nursery and planting field, determine the resource area mapping matrix of each soil temperature stress risk zone through the temperature control resource information, and then determine the temperature control response strategy of each soil temperature stress risk zone in the seedling nursery and planting field through the corresponding resource area mapping matrix; The temperature control execution module is used to regulate the soil temperature in each soil temperature stress risk area in the seedling planting field according to the corresponding temperature control response strategy.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes a soil temperature control method for a planting field with intelligent temperature sensing and regulation as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores instructions or codes, and when the instructions or codes are executed on a computer, the computer implements a method for controlling soil temperature in a planting field with intelligent temperature sensing and regulation as described in any one of claims 1 to 7.

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