An intelligent temperature-regulating planting field soil temperature control system and method

Abstract

The application provides a kind of intelligent temperature-regulated planting field soil temperature control system and method, related to soil temperature control technical field, obtains seedling planting field regional information, extracts all soil temperature monitoring sub-block according to seedling planting field regional information;Obtain the block environment data of soil temperature monitoring sub-block, determine soil temperature stress factor according to block environment data, obtain all soil temperature stress risk areas in seedling planting field based on soil temperature stress factor;Obtain the temperature control resource information in seedling planting field, determine resource area mapping matrix through temperature control resource information, determine temperature control response strategy through resource area mapping matrix and soil temperature stress factor;According to the soil temperature regulation of each soil temperature stress risk area according to temperature control response strategy.This application can realize the risk analysis and resource optimization control of soil temperature, to improve the temperature regulation precision and regulation efficiency of nursery stock cultivation environment.

Description

Technical Field

[0001] This application relates to the field of soil temperature control technology, and more specifically, to an intelligent temperature-sensing and regulating soil temperature control system and method for plantations. Background Technology

[0002] The current intelligent soil temperature control technology in modern Qinghai spruce seedling nurseries has formed a complete closed-loop control system, mainly composed of three parts: a distributed sensor monitoring network, an IoT data transmission platform, and an intelligent decision-making and execution system. The system uses a high-density deployment of digital temperature sensors to construct a real-time monitoring network, uploading data to a cloud control platform via low-power wireless communication technology. The platform analyzes and makes decisions based on multi-level control algorithms (including threshold triggering, PID regulation, and predictive control), and coordinates with execution devices such as geothermal cables, intelligent drip irrigation, and automatic shading for precise control. It is also equipped with functional modules such as data visualization, anomaly alarms, and remote monitoring. All subsystems achieve efficient collaboration through standard communication protocols. With the continuous development of Qinghai spruce seedling nurseries in my country, higher demands are being placed on the efficiency and effectiveness of soil temperature control in these nurseries.

[0003] Current technologies typically fail to achieve precise, zoned monitoring and management of soil temperature within Qinghai spruce seedling cultivation areas, leading to uneven temperature control and potential issues such as low-temperature stress or localized overheating in some areas, thus affecting the balanced growth of Qinghai spruce seedlings. Secondly, the distribution and allocation of temperature control resources (such as electric heating, temperature-controlled water pipes, and hot air equipment) are often fixed, lacking a linkage mechanism with 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, failing to dynamically identify potential temperature risks and proactively intervene. Their control methods are simplistic, management relies heavily on experience, and automation is low. Therefore, achieving risk analysis and optimized resource control of soil temperature to improve the accuracy and efficiency of temperature regulation in seedling cultivation environments has become a significant challenge for the industry. Summary of the Invention

[0004] This application provides an intelligent temperature-sensing and regulating soil temperature control system and method for plantations, which can realize risk analysis and resource optimization regulation of soil temperature to improve the accuracy and efficiency of temperature regulation in seedling cultivation environment.

[0005] In a first aspect, this application provides a method for controlling soil temperature in a plantation using intelligent temperature sensing and regulation, the soil temperature control method comprising the following steps:

[0006] Obtain the seedling cultivation area information of Qinghai spruce trees, and extract all soil temperature monitoring sub-blocks in the seedling cultivation area based on the seedling cultivation area information;

[0007] 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 based on the corresponding block environmental data, and conduct risk screening for 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.

[0008] Acquire temperature control resource information in the seedling nursery, 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 through the corresponding resource area mapping matrix and the corresponding soil temperature stress factor.

[0009] Soil temperature was regulated in each soil temperature stress risk zone in the seedling nursery based on the corresponding temperature control response strategy.

[0010] In this embodiment, extracting all soil temperature monitoring sub-blocks in the seedling planting area based on the seedling planting area information specifically includes:

[0011] A spatial grid model is established in the seedling planting area, and the seedling planting area is divided by the spatial grid model to obtain all the soil monitoring grids;

[0012] Based on the regional information of the seedling cultivation site, the soil monitoring grids are clustered to obtain all soil temperature monitoring sub-blocks in the seedling cultivation site.

[0013] In this embodiment, determining the soil temperature stress factor for each soil temperature monitoring sub-block based on the corresponding block environmental data specifically includes:

[0014] By using historical databases, we obtained the growth environment parameters of the root system of Qinghai spruce trees;

[0015] 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 root system and the corresponding block environmental data, thereby obtaining the soil temperature stress factor of each soil temperature monitoring sub-block.

[0016] In this embodiment, risk screening is performed on each soil temperature monitoring sub-block based on the corresponding soil temperature stress factors, thereby obtaining all soil temperature stress risk areas in the seedling planting area, specifically including:

[0017] Pre-set the stress risk threshold for each soil temperature monitoring sub-block in the seedling nursery;

[0018] Based on the stress risk threshold and various soil temperature stress factors, risk screening is performed on all soil temperature monitoring sub-blocks to obtain all soil temperature stress risk areas in the seedling planting area.

[0019] In this embodiment, determining the resource area mapping matrix for each soil temperature stress risk zone using the temperature control resource information specifically includes:

[0020] Determine the regulation performance data of each temperature control resource based on the temperature control resource information;

[0021] Based on the regulation performance data of the corresponding temperature-controlled resources, resource area mapping matrices were constructed for each soil temperature stress risk zone.

[0022] In this embodiment, the temperature control response strategy for each soil temperature stress risk zone in the seedling nursery is determined using the corresponding resource area mapping matrix and the corresponding soil temperature stress factor. Specifically, this includes:

[0023] For each soil temperature stress risk zone in the seedling nursery, the required temperature control resources for the soil temperature stress risk zone are determined based on the corresponding resource area mapping matrix and the corresponding soil temperature stress factor.

[0024] By determining the temperature control response strategy for the soil temperature stress risk zone based on the required temperature control resources, the temperature control response strategy for each soil temperature stress risk zone in the seedling planting farm can be obtained.

[0025] In this embodiment, soil temperature regulation in each soil temperature stress risk zone of the seedling nursery according to the corresponding temperature control response strategy specifically includes:

[0026] For each soil temperature stress risk zone, temperature control instructions are sent to the required temperature control resources in the soil temperature stress risk zone according to the corresponding temperature control response strategy;

[0027] Based on the temperature control instructions, the required temperature control resources in the soil temperature stress risk zone are regulated, thereby realizing the soil temperature regulation of each soil temperature stress risk zone in the seedling planting farm.

[0028] Secondly, this application provides an intelligent temperature-sensing and regulating soil temperature control system for a plantation to execute an intelligent temperature-sensing and regulating soil temperature control method for a plantation, the soil temperature control system comprising:

[0029] The block division module is used to obtain the seedling planting area information of Qinghai spruce trees, and extract all soil temperature monitoring sub-blocks in the seedling planting area based on the seedling planting area information;

[0030] The risk screening module is used to 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 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.

[0031] The temperature control strategy module is used to acquire temperature control resource information in the seedling planting area, 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 planting area through the corresponding resource area mapping matrix.

[0032] The temperature control execution module is used to regulate the soil temperature in each soil temperature stress risk zone in the seedling planting site according to the corresponding temperature control response strategy.

[0033] Thirdly, this application provides a computer device, the computer device including a memory and a processor, the memory for storing a computer program, and the processor for calling and running the computer program from the memory, so that the computer device executes the above-described intelligent temperature-sensing and regulating method for controlling soil temperature in a planting area.

[0034] Fourthly, this application provides a computer-readable storage medium storing instructions or code that, when executed on a computer, cause the computer to implement the aforementioned intelligent temperature-sensing and regulating method for controlling soil temperature in a planting area.

[0035] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects:

[0036] By acquiring information about the seedling nursery area of ​​Qinghai spruce, all soil temperature monitoring sub-blocks in the seedling nursery are extracted based on this information. Environmental data for each sub-block is collected, and soil temperature stress factors are determined based on this data. Risk screening is then performed on each sub-block based on these stress factors to identify all soil temperature stress risk zones in the seedling nursery. Temperature control resource information is acquired, and a resource area mapping matrix for each soil temperature stress risk zone is determined. The corresponding resource area mapping matrix and soil temperature stress factors are then used to determine temperature control response strategies for each soil temperature stress risk zone in the seedling nursery. Soil temperature is then regulated in each soil temperature stress risk zone based on these corresponding temperature control response strategies.

[0037] Therefore, this application demonstrates that, firstly, by establishing a spatial grid model in the seedling nursery 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-based zoning, and improving the accuracy and response speed of soil temperature monitoring; secondly, by collecting the block environmental data of each soil temperature monitoring sub-block and calculating the soil temperature stress factor accordingly, it is possible to quantify the impact of soil temperature on seedling root health, thereby achieving stress risk classification and screening for different sub-blocks; and thirdly, by obtaining… By acquiring temperature control resource information from seedling nurseries, a resource region mapping matrix is ​​constructed between soil temperature stress risk zones and temperature control resources. Furthermore, by combining soil temperature stress factors in each zone to determine differentiated temperature control response strategies, precise analysis and targeted regulation of soil temperature risks can be achieved, avoiding resource waste and regulatory lag. This significantly improves the accuracy and efficiency of soil temperature regulation in seedling cultivation environments. Finally, by sending regulation commands to temperature control resources in each soil temperature stress risk zone according to the temperature control response strategy, precise soil temperature regulation is achieved, improving the response speed and execution efficiency of soil temperature regulation.

[0038] In summary, the technical solution adopted in this application can realize risk analysis and resource optimization and control of soil temperature, so as to improve the accuracy and efficiency of temperature control in the seedling cultivation environment. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only for this embodiment of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is an exemplary flowchart of a plantation soil temperature control method based on the intelligent temperature sensing regulation provided in this application;

[0041] Figure 2 This is an exemplary flowchart for determining the soil temperature stress factors of each soil temperature monitoring sub-block according to the present application;

[0042] Figure 3 This is an exemplary flowchart of the temperature control response strategy for determining each soil temperature stress risk zone in a seedling nursery, as provided in this application.

[0043] Figure 4 This is a modular structure diagram of the intelligent temperature-sensing and regulating soil temperature control system for planting areas provided in this application;

[0044] Figure 5This is a schematic diagram of the structure of a computer device for implementing an intelligent temperature sensing and control method for soil temperature in a planting area, as provided in this application. Detailed Implementation

[0045] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0046] This application provides an intelligent temperature-sensing and regulating soil temperature control system and method for seedling cultivation sites. The core of this system involves acquiring regional information of the seedling cultivation site for Qinghai spruce trees, extracting all soil temperature monitoring sub-blocks within the seedling cultivation site based on this regional information, collecting environmental data for each sub-block, determining soil temperature stress factors for each sub-block based on the corresponding environmental data, performing risk screening on each sub-block based on the corresponding soil temperature stress factors, and thus obtaining all soil temperature stress risk zones within the seedling cultivation site. The system also acquires temperature control resource information within the seedling cultivation site, determines resource area mapping matrices for each soil temperature stress risk zone based on this information, and then determines temperature control response strategies for each soil temperature stress risk zone within the seedling cultivation site based on the corresponding resource area mapping matrices and the corresponding soil temperature stress factors. Finally, soil temperature is regulated for each soil temperature stress risk zone within the seedling cultivation site according to the corresponding temperature control response strategies. This approach enables risk analysis and resource optimization regulation of soil temperature, thereby improving the accuracy and efficiency of temperature regulation in the seedling cultivation environment.

[0047] Example 1: To better understand the above technical solution, the following will provide a detailed description of the technical solution in conjunction with the accompanying drawings and specific implementation methods. (Refer to...) Figure 1 As shown in the figure, this is an exemplary flowchart of a smart temperature-sensing and regulating method for controlling soil temperature in a plantation according to this embodiment of the present application. The soil temperature control method includes the following steps:

[0048] In step S1, the seedling cultivation area information of Qinghai spruce trees is obtained, and all soil temperature monitoring sub-blocks in the seedling cultivation area are extracted based on the seedling cultivation area information.

[0049] In practice, the information on the seedling cultivation area of ​​Qinghai spruce trees is obtained by using drones to take aerial photos of the seedling cultivation area of ​​Qinghai spruce trees. It should be noted that the seedling cultivation area information is a comprehensive information that includes the overall spatial range of the seedling cultivation area of ​​Qinghai spruce trees, the planting range of Qinghai spruce trees, and the environmental information of the seedling cultivation area.

[0050] In this embodiment, extracting all soil temperature monitoring sub-blocks in the seedling planting area based on the seedling planting area information can be achieved through the following steps:

[0051] A spatial grid model is established in the seedling planting area, and the seedling planting area is divided by the spatial grid model to obtain all the soil monitoring grids;

[0052] Based on the regional information of the seedling cultivation site, the soil monitoring grids are clustered to obtain all soil temperature monitoring sub-blocks in the seedling cultivation site.

[0053] In practice, firstly, a grid resolution of 1m*1m can be set to divide the planting area of ​​Qinghai spruce trees in the seedling nursery into uniform square grid units, thus using all square grid units as soil monitoring grids. Then, historical soil temperature data, soil moisture data, and temperature control resource information of each soil monitoring grid can be extracted from the regional information of the seedling nursery. Subsequently, the historical soil temperature data, soil moisture data, and temperature control resource information of each soil monitoring grid can be used as input to a clustering algorithm. The K-Means clustering algorithm is used, and the output results are used as all soil temperature monitoring sub-blocks in the seedling nursery.

[0054] It should be noted that by establishing a spatial grid model in the seedling planting area 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. This avoids the subjectivity and inefficiency of traditional manual experience-based zoning and can improve the accuracy and response speed of soil temperature monitoring.

[0055] In step S2, the environmental data of each soil temperature monitoring sub-block is collected, the soil temperature stress factor of each soil temperature monitoring sub-block is determined based on the corresponding environmental data, and the risk screening of each soil temperature monitoring sub-block is carried out based on the corresponding soil temperature stress factor, thereby obtaining all soil temperature stress risk areas in the seedling planting field.

[0056] In practice, the environmental data of each soil temperature monitoring sub-block is collected. This can be achieved by installing smart sensors in each soil temperature monitoring sub-block and using these sensors to periodically collect the current soil temperature and soil moisture data of each sub-block as the environmental data of that sub-block.

[0057] Preferably, in this embodiment, reference Figure 2 As shown, this figure is an exemplary flowchart for determining the soil temperature stress factors of each soil temperature monitoring sub-block in an embodiment of this application. In this embodiment, determining the soil temperature stress factors of each soil temperature monitoring sub-block based on the corresponding block environmental data can be achieved by the following steps:

[0058] In step S21, the growth environment parameters of the root system of Qinghai spruce are obtained through the historical database;

[0059] 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 root system and the corresponding block environmental data, thereby obtaining the soil temperature stress factor of each soil temperature monitoring sub-block.

[0060] It should be noted that, in this application, the growth environment parameters refer to the multidimensional environmental parameters during the root growth process of *Picea qinghaiensis*, including the lower limit of temperature, the upper limit of temperature, and the humidity threshold for root growth. The soil temperature stress factor is a vector factor representing the degree of influence of current soil temperature conditions on the root growth of *Picea qinghaiensis*, including the chilling stress index, the heat stress index, and the heat capacity imbalance index. The chilling stress index is defined as the soil temperature in the root zone falling below the lower limit of the root growth temperature of *Picea qinghaiensis*. The cold stress index is an indicator of the risk of chilling injury to the roots of Qinghai spruce trees. The higher the cold stress index, the higher the risk of chilling injury. The heat stress index is an indicator of the risk of heat injury to the roots of Qinghai spruce trees when the soil temperature in the root zone is higher than the upper limit of the root growth temperature. The higher the heat stress index, the higher the risk of heat injury to the roots. The heat capacity imbalance index is an index used to represent the degree of deviation between the actual soil moisture and the optimum moisture. The higher the heat capacity imbalance index, the higher the degree of heat capacity imbalance in the roots of Qinghai spruce trees.

[0061] In practice, firstly, environmental parameters related to the root system of *Picea qinghaiensis* can be collected from historical databases, including lower temperature limit, upper temperature limit, growth temperature, and humidity thresholds. Then, for each soil temperature monitoring sub-block, the soil temperature stress factor can be determined based on the *Picea qinghaiensis* root system's environmental parameters and the corresponding block environmental data. Specifically, for each soil temperature monitoring sub-block, the current soil temperature and current soil humidity can be extracted from the corresponding block environmental data. Thus, the chilling stress index and heat stress index of the soil temperature monitoring sub-block can be determined using the current soil temperature and the lower temperature limit, upper temperature limit, growth temperature, and humidity thresholds for *Picea qinghaiensis* root system growth. The cold stress index and the heat capacity imbalance index can be calculated as follows: The cold stress index can be calculated by subtracting the ratio of the current soil temperature to the lower limit of the temperature range for Qinghai spruce root growth from 1. The result is used as the cold stress index for the soil temperature monitoring sub-block. When the current soil temperature is greater than the lower limit of the temperature range for Qinghai spruce root growth, the cold stress index is 0. The heat stress index can also be calculated by comparing the current soil temperature minus the upper temperature limit with the current soil temperature minus the growth temperature. When the current soil temperature is less than the upper temperature limit for Qinghai spruce root growth, the heat stress index is 0. Finally, the heat capacity imbalance index can be calculated by comparing the current soil moisture minus the absolute value of the moisture threshold with the moisture threshold.

[0062] In addition, in specific implementation, the cold stress index, heat stress index and heat capacity imbalance index of the soil temperature monitoring sub-block can be used as constituent elements and merged into a vector. The resulting 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.

[0063] In this embodiment, risk screening is performed on each soil temperature monitoring sub-block based on the corresponding soil temperature stress factor to obtain all soil temperature stress risk areas in the seedling planting area. This can be achieved through the following steps:

[0064] Pre-set the stress risk threshold for each soil temperature monitoring sub-block in the seedling nursery;

[0065] Based on the stress risk threshold and various soil temperature stress factors, risk screening is performed on all soil temperature monitoring sub-blocks to obtain all soil temperature stress risk areas in the seedling planting area.

[0066] In practice, firstly, stress risk thresholds for each soil temperature monitoring sub-block in the seedling nursery can be pre-set based on historical experience and data analysis. These stress risk thresholds are numerical limits for the growth environment in which seedlings are placed under unfavorable conditions, and include cold stress thresholds, heat stress thresholds, and heat capacity imbalance thresholds. Then, risk screening can be performed on all soil temperature monitoring sub-blocks based on these stress risk thresholds and various soil temperature stress factors. Specifically, for each soil temperature monitoring sub-block, the soil temperature stress factors and stress risk thresholds of that sub-block can be compared. This involves comparing the cold stress index, heat stress index, and heat capacity imbalance index of the soil temperature stress factors with the cold stress index of the stress risk threshold. The threshold, heat stress threshold, and heat capacity imbalance threshold were compared. Soil temperature monitoring sub-blocks with a chilling stress index greater than the chilling stress threshold were designated as chilling stress risk areas, heat stress index greater than the heat stress threshold were designated as heat stress risk areas, and heat capacity imbalance index greater than the heat capacity imbalance threshold were designated as heat capacity imbalance risk areas. Finally, all chilling stress risk areas, heat stress risk areas, and heat capacity imbalance risk areas were designated as all soil temperature stress risk areas in the seedling nursery. It should be noted that soil temperature stress risk areas refer to areas in the seedling nursery where soil temperature deviates from the growth environment parameters of Qinghai spruce root system, which may cause seedlings to suffer adverse effects such as heat damage, chilling damage, or hydrothermal imbalance.

[0067] It should be noted that by collecting environmental data from various soil temperature monitoring sub-blocks and calculating soil temperature stress factors (such as high temperature stress index, low temperature stress index, and heat capacity imbalance index), the impact of soil temperature on seedling root health can be quantified. This enables the classification and screening of stress risks in different sub-blocks, effectively solving the problem of lacking a risk identification mechanism with high spatial resolution and accurate response in traditional temperature management. It also avoids the drawbacks of high energy consumption and low regulation efficiency caused by "integrated temperature control throughout the region," laying the foundation for subsequent refined temperature control resource allocation and dynamic response regulation.

[0068] In step S3, temperature control resource information in the seedling nursery is obtained, and the resource area mapping matrix of each soil temperature stress risk zone is determined through the temperature control resource information. Then, the temperature control response strategy of each soil temperature stress risk zone in the seedling nursery is determined through the corresponding resource area mapping matrix and the corresponding soil temperature stress factor.

[0069] In this embodiment, temperature control resource information in the seedling planting field is obtained. Specifically, the types of temperature control resources deployed in the seedling planting field can be integrated in the management system of the planting field to obtain the temperature control resource information in the seedling planting field. It should be noted that the temperature control resource information is the facility information in the seedling planting field used to regulate soil temperature. Temperature control resources include surface water spraying system, underground heating pipe and covering material.

[0070] In this embodiment, determining the resource area mapping matrix for each soil temperature stress risk zone using the temperature-controlled resource information can be achieved through the following steps:

[0071] Determine the regulation performance data of each temperature control resource based on the temperature control resource information;

[0072] Based on the regulation performance data of the corresponding temperature-controlled resources, resource area mapping matrices were constructed for each soil temperature stress risk zone.

[0073] In practical implementation, firstly, the regulation performance data of each temperature control resource can be determined based on the temperature control resource information. That is, for each temperature control resource in the seedling nursery, the regulation performance data of the temperature control resource can be obtained through the temperature control resource information, thus obtaining the regulation performance data of each temperature control resource. Among them, the regulation performance data is the performance parameter information of the temperature control resource, including the temperature control response speed, coverage area, and adjustable temperature range. Then, based on the regulation performance data of the corresponding temperature control resources, a resource area mapping matrix for each soil temperature stress risk zone can be constructed. That is, for each soil temperature stress risk zone, the soil temperature stress can be determined. The available temperature control resources for a soil temperature stress risk zone are defined as those whose regulatory range can cover the zone. Based on the regulatory performance data of these available resources, a resource region mapping matrix is ​​constructed for the soil temperature stress risk zone. Each soil temperature stress risk zone is represented as a column of the resource region mapping matrix, and each temperature control resource is represented as a row. The elements in the resource region mapping matrix represent the regulatory capacity of the available temperature control resources for each soil temperature stress risk zone. For example, for each element of the resource region mapping matrix... Indicates temperature control resources Soil temperature stress risk areas The regulatory capability it possesses refers to the temperature control response speed and adjustable temperature range of the corresponding temperature-controlled resource, 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-controlled resources and soil temperature stress risk zones.

[0074] Preferably, in this embodiment, reference Figure 3As shown in the figure, this is an exemplary flowchart of the temperature control response strategy for determining each soil temperature stress risk zone in the seedling nursery in this embodiment of the application. In this embodiment, the temperature control response strategy for determining each soil temperature stress risk zone in the seedling nursery through the corresponding resource area mapping matrix and the corresponding soil temperature stress factor can be implemented by the following steps:

[0075] In step S31, for each soil temperature stress risk zone in the seedling planting field, the required temperature control resources for the soil temperature stress risk zone are determined according to the corresponding resource area mapping matrix and the corresponding soil temperature stress factor.

[0076] In step S32, the temperature control response strategy of the soil temperature stress risk zone is determined by the required temperature control resources, thereby obtaining the temperature control response strategy of each soil temperature stress risk zone in the seedling planting farm.

[0077] In specific implementation, firstly, for each soil temperature stress risk zone in the seedling nursery, the required temperature control resources for that zone can be determined based on the corresponding resource area mapping matrix and the corresponding soil temperature stress factors. Specifically, for each soil temperature stress risk zone in the seedling nursery, the temperature stress type is determined based on the corresponding soil temperature stress factors. This is achieved by comparing the chilling stress index, heat stress index, and heat capacity imbalance index of the soil temperature stress factors with the chilling stress threshold, heat stress threshold, and heat capacity imbalance threshold, respectively. Then, based on the temperature stress type of the soil temperature stress risk zone, temperature control resources that can regulate the temperature of that zone are extracted from the corresponding resource area mapping matrix as the required temperature control resources for that zone. It should be noted that the required temperature control resources are those used to regulate the soil temperature in the corresponding soil temperature stress risk zone. Temperature control resources for soil temperature; temperature stress type refers to the soil temperature stress type in the soil temperature stress risk zone, namely, cold damage stress type, heat damage stress type, heat capacity imbalance type, and comprehensive stress type. The comprehensive stress type refers to the soil temperature stress type in which one or more stress indices are greater than the stress threshold among the corresponding soil temperature stress factors. Then, the temperature control response strategy of the soil temperature stress risk zone can be determined by the required temperature control resources. That is, for each soil temperature stress risk zone in the seedling plantation, the temperature control method can be determined according to the required temperature control resources of the corresponding soil temperature stress risk zone, and the response parameters of the required temperature control resources of the soil temperature stress risk zone can be set. 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 plantation can be obtained through the above method. It should be noted that the response parameters are the command parameters for regulating the temperature control resources, including the start time, regulation duration, and regulation power.

[0078] It should be noted that by acquiring temperature control resource information in seedling nurseries, constructing a resource region 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 precise analysis and targeted regulation of soil temperature risk, avoid resource waste and regulation lag, significantly improve the accuracy and efficiency of soil temperature regulation in seedling cultivation environment, and realize the optimized allocation and intelligent scheduling of temperature control resources.

[0079] In step S4, soil temperature is regulated in each soil temperature stress risk zone in the seedling nursery according to the corresponding temperature control response strategy.

[0080] In this embodiment, the soil temperature regulation of each soil temperature stress risk zone in the seedling planting site according to the corresponding temperature control response strategy can be achieved through the following steps:

[0081] For each soil temperature stress risk zone, temperature control instructions are sent to the required temperature control resources in the soil temperature stress risk zone according to the corresponding temperature control response strategy;

[0082] Based on the temperature control instructions, the required temperature control resources in the soil temperature stress risk zone are regulated, thereby realizing the soil temperature regulation of each soil temperature stress risk zone in the seedling planting farm.

[0083] In practice, firstly, for each soil temperature stress risk zone, a temperature control command is sent to the temperature control resources in the soil temperature stress risk zone according to the corresponding temperature control response strategy. The temperature control command refers to an electrical signal command that allows the temperature control resources to perform adjustment operations according to the response parameters. When the temperature control resources receive the temperature control command, they perform adjustment operations according to the response parameters (such as start time, adjustment duration, and adjustment power) to adjust the soil temperature of the soil temperature stress risk zone, thereby completing the soil temperature control of the soil temperature stress risk zone and thus completing the soil temperature control of each soil temperature stress risk zone in the seedling planting farm.

[0084] It should be noted that by sending control commands to the temperature control resources in each soil temperature stress risk zone according to the temperature control response strategy, precise soil temperature control is achieved, improving the response speed and execution efficiency of soil temperature control, and achieving the dual goals of intelligent analysis of soil temperature risk and optimal allocation of temperature control resources.

[0085] Therefore, this application demonstrates that, firstly, by establishing a spatial grid model in the seedling nursery 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-based zoning, and improving the accuracy and response speed of soil temperature monitoring; secondly, by collecting the block environmental data of each soil temperature monitoring sub-block and calculating the soil temperature stress factor accordingly, it is possible to quantify the impact of soil temperature on seedling root health, thereby achieving stress risk classification and screening for different sub-blocks; and thirdly, by obtaining… By acquiring temperature control resource information from seedling nurseries, a resource region mapping matrix is ​​constructed between soil temperature stress risk zones and temperature control resources. Furthermore, by combining soil temperature stress factors in each zone to determine differentiated temperature control response strategies, precise analysis and targeted regulation of soil temperature risks can be achieved, avoiding resource waste and regulatory lag. This significantly improves the accuracy and efficiency of soil temperature regulation in seedling cultivation environments. Finally, by sending regulation commands to temperature control resources in each soil temperature stress risk zone according to the temperature control response strategy, precise soil temperature regulation is achieved, improving the response speed and execution efficiency of soil temperature regulation.

[0086] In summary, the technical solution adopted in this application can realize risk analysis and resource optimization and control of soil temperature, so as to improve the accuracy and efficiency of temperature control in the seedling cultivation environment.

[0087] Example 2: This application provides a reference intelligent temperature-sensing and regulating soil temperature control system for planting areas. Figure 4 As shown, this figure is a modular structure diagram of a soil temperature control system according to this embodiment of the present application. The soil temperature control system includes:

[0088] The block division module 100 is used to obtain the seedling planting area information of Qinghai spruce trees, and extract all soil temperature monitoring sub-blocks in the seedling planting area based on the seedling planting area information;

[0089] The risk screening module 200 is used to 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 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.

[0090] The temperature control strategy module 300 is used to acquire temperature control resource information in the seedling planting area, 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 planting area through the corresponding resource area mapping matrix.

[0091] The temperature control execution module 400 is used to regulate the soil temperature in each soil temperature stress risk zone in the seedling planting site according to the corresponding temperature control response strategy.

[0092] The foregoing has detailed examples of an intelligent temperature-sensing and regulating soil temperature control system and method for plantations provided in the embodiments of this application. It is understood that the corresponding device, in order to achieve the above functions, includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed by hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0093] In embodiment three, this application also provides a computer device, the computer device including a memory and a processor, the memory for storing computer programs, and the processor for calling and running the computer programs from the memory, so that the computer device executes the above-described intelligent temperature sensing and regulation method for controlling soil temperature in a planting area.

[0094] In this embodiment, reference Figure 5 The dashed lines in the figure indicate that the unit or module is optional. This figure is a schematic diagram of the structure of a computer device for an intelligent temperature-sensing and regulating soil temperature control method for a plantation, according to an embodiment of this application. The intelligent temperature-sensing and regulating soil temperature control method for a plantation described in the above embodiment can... Figure 5 The computer device shown is used to implement this, and the computer device includes at least one processor 501, a memory 502 and at least one communication unit 505. The computer device may be a terminal device, a server or a chip.

[0095] Processor 501 can be a general-purpose processor or a special-purpose processor. For example, processor 501 can be a central processing unit (CPU), which can be used to control computer devices, execute software programs, and process data from software programs. The computer device may also include a communication unit 505 to realize signal input (reception) and output (transmission).

[0096] For example, the computer device may be a chip, and the communication unit 505 may be the input and / or output circuit of the chip, or the communication unit 505 may be the communication interface of the chip, which may be a component of a terminal device, network device or other device.

[0097] For 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.

[0098] The computer device may include one or more memories 502 storing a program 504. The program 504 can be executed by a processor 501 to generate instructions 503, causing the processor 501 to perform the methods described in the above method embodiments according to the instructions 503. Optionally, the memory 502 may also store data (such as a target audit model). Optionally, the processor 501 may also read data stored in the memory 502, which may be stored at the same storage address as the program 504, or the data may be stored at a different storage address than the program 504.

[0099] The processor 501 and memory 502 can be configured separately or integrated together, for example, integrated on the system-on-chip (SOC) of the terminal device.

[0100] It should be understood that each step of the above method embodiment can be completed by hardware logic circuits or software instructions in processor 501. Processor 501 can be a central processing unit, digital signal processor (DSP), application specific integrated circuit (ASIC), field programmable gate array (FPGA), or other programmable logic device, such as discrete gate, transistor logic device, or discrete hardware component.

[0101] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0102] In embodiment four, this application also provides a computer-readable storage medium storing instructions or code that, when executed on a computer, cause the computer to implement the above-described intelligent temperature-sensing and regulating method for controlling soil temperature in a planting area.

[0103] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0104] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of the invention. Therefore, if these modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include these modifications and variations.

Claims

1. A method of controlling the temperature of a field soil for intelligent temperature control of a plantation, characterized by, The temperature control method comprises the following steps: Obtain the seedling planting field area information of Picea crassifolia trees, and extract all soil temperature monitoring sub-blocks in the seedling planting field according to the seedling planting field area information, wherein extracting all soil temperature monitoring sub-blocks in the seedling planting field according to the seedling planting field area information specifically comprises: Establishing a spatial grid model in the seedling planting field, and dividing the seedling planting field through the spatial grid model to obtain all soil monitoring grids; Clustering each soil monitoring grid according to the seedling planting field area information to obtain all soil temperature monitoring sub-blocks in the seedling planting field; Collecting block environment data of each soil temperature monitoring sub-block, and determining soil temperature stress factors of each soil temperature monitoring sub-block according to the corresponding block environment data, wherein the soil temperature stress factor is a vector factor representing the influence degree of the current soil temperature condition on the growth of tree roots, and determining the soil temperature stress factor of each soil temperature monitoring sub-block according to the corresponding block environment data specifically comprises: Obtaining the growth environment parameters of Picea crassifolia tree roots through a historical database; For each soil temperature monitoring sub-block, determining the soil temperature stress factor of the soil temperature monitoring sub-block according to the growth environment parameters of Picea crassifolia tree roots and the corresponding block environment data, and further obtaining the soil temperature stress factor of each soil temperature monitoring sub-block; based on the corresponding soil temperature stress factor, each soil temperature monitoring sub-block is screened for risk, and further obtaining all soil temperature stress risk areas in the seedling planting field, wherein based on the corresponding soil temperature stress factor, each soil temperature monitoring sub-block is screened for risk, and further obtaining all soil temperature stress risk areas in the seedling planting field specifically comprises: Pre-setting the stress risk threshold of each soil temperature monitoring sub-block in the seedling planting field; Screening all soil temperature monitoring sub-blocks for risk according to the stress risk threshold and each soil temperature stress factor, and further obtaining all soil temperature stress risk areas in the seedling planting field; Obtaining the temperature control resource information in the seedling planting field, and determining the resource area mapping matrix of each soil temperature stress risk area through the temperature control resource information, wherein determining the resource area mapping matrix of each soil temperature stress risk area through the temperature control resource information specifically comprises: Determining the control performance data of each temperature control resource according to the temperature control resource information; Constructing the resource area mapping matrix of each soil temperature stress risk area according to the control performance data of the corresponding temperature control resource; further determining the temperature control response strategy of each soil temperature stress risk area in the seedling planting field through the corresponding resource area mapping matrix and the corresponding soil temperature stress factor, wherein determining the temperature control response strategy of each soil temperature stress risk area in the seedling planting field through the corresponding resource area mapping matrix and the corresponding soil temperature stress factor specifically comprises: For each soil temperature stress risk area in the seedling planting field, determining the required temperature control resource of the soil temperature stress risk area according to the corresponding resource area mapping matrix and the corresponding soil temperature stress factor; The temperature control system comprises: The block division module is configured to acquire the seedling planting field area information of the Picea crassifolia trees, and extract all soil temperature monitoring sub-blocks in the seedling planting field according to the seedling planting field area information. The risk screening module is configured to collect block environment data of each soil temperature monitoring sub-block, determine soil temperature stress factors of each soil temperature monitoring sub-block according to the corresponding block environment data, and perform risk screening on each soil temperature monitoring sub-block based on the corresponding soil temperature stress factors, thereby obtaining all soil temperature stress risk zones in the seedling planting field. The temperature control strategy module is configured to acquire temperature control resource information in the seedling planting field, determine a resource area mapping matrix of each soil temperature stress risk zone through the temperature control resource information, and then determine a temperature control response strategy of each soil temperature stress risk zone in the seedling planting field through the corresponding resource area mapping matrix.

2. An intelligent temperature sensing regulated plantation soil temperature control system for performing an intelligent temperature sensing regulated plantation soil temperature control method as claimed in claim 1, characterized by, The temperature control execution module is configured to perform soil temperature regulation on each soil temperature stress risk zone in the seedling planting field according to the corresponding temperature control response strategy. The computer device comprises a memory and a processor, the memory is configured to store a computer program, and the processor is configured to call and run the computer program from the memory, so that the computer device executes the intelligent temperature sensing regulation seedling field soil temperature control method in claim 1. The computer readable storage medium stores instructions or codes, and when the instructions or codes are run on the computer, the computer executes the intelligent temperature sensing regulation seedling field soil temperature control method in claim 1. ​ ​ 3. A computer device, comprising: ​ 4. A computer-readable storage medium, characterized in that, ​

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