Soil moisture detection equipment for plant monitoring

Abstract

The invention relates to the technical field of soil moisture detection, in particular to soil moisture detection equipment for plant monitoring, which comprises a data acquisition unit, a synchronous control module, a data integration and analysis module, a monitoring and early warning module and a data storage unit. According to the method, the synchronous soil data set packet is obtained by performing synchronous control analysis on the soil data and the data information parameters, the data integration information is obtained by analyzing the synchronous soil data set packet, and the corresponding soil data model information is generated according to the data integration information; soil data model information is analyzed to obtain model state information, it is guaranteed that measurement and data transmission of all devices are conducted synchronously, and it is avoided that accurate analysis on soil moisture changes is finally affected; and early warning information is conveniently generated through the monitoring and early warning module, so that an abnormal position can be timely positioned, and the emergency convenience is improved.

Description

Technical Field

[0001] The invention relates to the technical field of soil moisture detection, in particular to soil moisture detection equipment for plant monitoring. Background Art

[0002] In the process of plant growth, soil moisture content is a key factor. Accurate monitoring of soil moisture is of great significance for reasonable irrigation, improving crop yield and quality, and protecting the ecological environment. It helps farmers understand the moisture status of the soil near the crop roots, so as to formulate more accurate irrigation plans. This can not only improve irrigation efficiency, but also avoid waste of water resources. At present, soil moisture monitoring often requires the installation of multiple moisture detection devices. However, during the detection, it is difficult to ensure that the measurement and data transmission of each device are carried out synchronously, which easily leads to inconsistency in the data time of each device, affecting the final accurate analysis of soil moisture changes. Summary of the invention

[0003] The present invention provides a soil moisture detection device for plant monitoring, which is used to solve the above technical problems.

[0004] A first aspect of the present invention provides a soil moisture detection device for plant monitoring, comprising a data acquisition unit, a synchronization control module, a data integration and analysis module, a monitoring and early warning module and a data storage unit.

[0005] The data acquisition unit installs a certain number of soil moisture detection devices into the soil near the plants as required, collects soil data through the soil moisture detection devices, obtains data information parameters corresponding to the soil data, and sends the soil data and the corresponding data information parameters to the synchronous control module; the soil data includes moisture data, water potential data and soil properties; the data information parameters include data time parameters, equipment parameters and data parameters.

[0006] The synchronous control module is used to receive the soil data and data information parameters of each soil moisture detection device, and based on a unified standard clock, perform synchronous control analysis on each soil data and data information parameter to obtain a synchronous soil data collection package, and send the synchronous soil data collection package to the data integration and analysis module.

[0007] As a further improvement of the present invention, each soil data and data information parameter is synchronously controlled and analyzed, and the specific analysis steps are as follows:

[0008] The soil data corresponding to each detection time of each soil moisture detection device is obtained, and the data information parameters corresponding to each soil data are obtained, and the data time parameters, device parameters and data parameters are obtained by identifying the data information parameters.

[0009] The data time parameters include detection time and device clock information; the device clock information corresponding to each soil moisture detection device is calculated by difference with the unified standard clock to obtain the clock deviation value, and the detection time of each soil data is corrected and calculated with the corresponding clock deviation value to obtain the calibration detection time corresponding to each soil data.

[0010] The equipment parameters include the detection range and location information corresponding to each soil moisture detection device; a unique number is set for each soil moisture detection device and recorded as the equipment number, the detection range of the detection device is divided into multiple range intervals, each range interval corresponds to a range number, the detection range corresponding to each detection device is matched with the multiple range intervals to obtain the corresponding range number, and the equipment number and range number corresponding to each detection device are added and summed to obtain the equipment-associated parameters.

[0011] The specific analysis of the data parameters is as follows: obtaining data parameters corresponding to multiple data points of each soil data, the data parameters include data integrity and data fluctuation information, identifying the data integrity corresponding to each data point, marking the corresponding data point as a missing data point when the data integrity corresponds to data missing, counting the number of missing data points and recording them as the number of missing data points, calculating the ratio of the number of missing data points to the total number of data points to obtain a missing proportion value, obtaining a preset missing proportion threshold, and when the missing proportion value is greater than the missing proportion threshold, calculating the difference between the missing proportion value and the missing proportion threshold to obtain a missing impact value;

[0012] According to the data fluctuation information corresponding to each data point, the corresponding data fluctuation range is obtained, and the corresponding data maximum value and data minimum value are obtained according to the data fluctuation range. The data maximum value and the data minimum value are calculated by difference to obtain the data fluctuation value. When the data fluctuation value is greater than the preset fluctuation threshold, the corresponding data point is marked as an unstable data point, the number of unstable data points is counted and recorded as the number of unstable data points, and the instability index is calculated by ratio of the number of unstable data points to the total number of data points; the data status value is obtained by multiplying the instability index and the missing influence value. When the data status value is greater than the preset threshold, data status information is generated for the corresponding soil data.

[0013] The calibration detection time, equipment-related parameters and data status information are integrated to obtain the integrated label information corresponding to each soil data, the soil data are aggregated to generate a data collection package, and the integrated label information corresponding to each soil data and the data collection package are associated to obtain a synchronized soil data collection package.

[0014] The data integration and analysis module is used to receive the synchronous soil data collection package, analyze the synchronous soil data collection package to obtain data integration information, generate corresponding soil data model information according to the data integration information, analyze the soil data model information to obtain model status information, and send the model status information to the monitoring and early warning module

[0015] As a further improvement of the present invention, the synchronous soil data set package is analyzed, and the specific analysis steps are as follows:

[0016] Obtain the planting soil area corresponding to the plant planting, identify the synchronized soil data set package to obtain the corresponding soil data and integrated label information, obtain the location information and detection range of each detection device according to the integrated label information, match the location information and detection range of each detection device with the planting soil area to obtain the detection soil area corresponding to each detection device.

[0017] The data status information of each soil data is identified. When the data status information is abnormal, the corresponding soil data is marked as abnormal data, and the number of abnormal soil data is counted. The ratio of the number of abnormal soil data to the total number of soil data of the corresponding detection equipment is calculated to obtain the abnormal data ratio. According to the abnormal data ratio, the equipment status information of each detection equipment is obtained. When the abnormal data ratio is greater than the preset abnormal ratio threshold, the corresponding equipment status information is generated as an abnormal device.

[0018] The planting soil area corresponding to the detection soil area of ​​each detection device is matched with each soil data, the soil data of each detection soil area is displayed to obtain a soil data display graph, and the soil data display graph and the device status information corresponding to each detection device are comprehensively displayed to obtain soil data model information.

[0019] As a further improvement of the present invention, the soil data model information is analyzed, and the specific analysis steps are as follows:

[0020] Extract soil data model information to obtain soil data and equipment status information corresponding to each detected soil area, and identify soil data to obtain moisture data, water potential data and soil properties;

[0021] The corresponding moisture content is obtained according to the moisture data, a preset moisture standard reference value is obtained, the difference between the current moisture content and the moisture standard reference value is calculated to obtain the moisture difference, the moisture difference is divided into multiple moisture difference intervals, each moisture difference interval corresponds to a water difference impact value, and the current moisture difference is matched with multiple moisture difference intervals to obtain the corresponding water difference impact value.

[0022] The corresponding water potential energy value is obtained according to the water potential data, and the pre-set standard water potential interval is obtained. The water potential energy value corresponding to the current soil data is matched with the standard water potential interval. When the water potential energy value exceeds the standard water potential interval, the corresponding water potential energy value is recorded as the water potential impact value.

[0023] The soil properties are identified to obtain the soil porosity and soil bulk density of the corresponding soil test area; a pre-set porosity standard value is obtained, and the soil porosity corresponding to the current soil properties is calculated by difference with the porosity standard value to obtain the soil porosity difference; a pre-set bulk density standard value is obtained, and the soil bulk density corresponding to the current soil properties is calculated by difference with the bulk density standard value to obtain the soil bulk density difference.

[0024] A rhombus is constructed with the values ​​of the water difference influence value and the water potential influence value as the two diagonals of the rhombus. A straight line perpendicular to the rhombus is drawn with the intersection of the two diagonals as the starting point. The length of the straight line is equal to the value of the soil pore difference. A circle is constructed with the endpoints of the straight line as the center. The length of the radius of the circle is equal to the value of the soil bulk density difference. An irregular frustum is constructed with the rhombus, the straight line and the circle. The volume of the irregular frustum is calculated and the value of the ground is marked as the soil state value. When the soil state value is greater than the set threshold, the corresponding soil state information is generated as a state abnormality, and the soil state information and the equipment state information are integrated to obtain the model state information.

[0025] The monitoring and early warning module is used to receive model status information and identify the model status information to obtain soil status information and equipment status information. When the soil status information shows that the soil status is abnormal, the detected soil area corresponding to the soil status abnormality is marked as an abnormal area and the corresponding soil early warning information is generated. When the equipment information shows that the equipment is abnormal, the corresponding detection equipment is marked as an abnormal equipment and the corresponding equipment early warning information is generated.

[0026] The data storage unit is used to store soil data and data information parameters, and to store soil warning information and equipment warning information.

[0027] A soil moisture detection device for plant monitoring also includes a device body, a support rod is installed on the lower surface of the device body, a conical head is installed on the lower end of the support rod, a detection element is connected to the lower end of the conical head, the detection element is electrically connected to the device body, a transmission component is connected to the upper surface of the device body, an inclined surface is provided on the side of the device body, a main control panel is connected to the surface of the inclined surface, a protective cover is hinged on one side of the main control panel, and a photovoltaic panel is installed on the other side of the device body; the support rod and the conical head are fixed by inserting them into the corresponding planting soil area, and soil data of the corresponding planting soil area is collected by the detection element, and the detection device can be controlled by the main control panel, and an inclined surface and a protective cover are provided to facilitate rainwater to slide off and protect the main control panel, synchronous soil data set packages are sent through the transmission component, and energy can be generated by the photovoltaic panel to reduce operating costs.

[0028] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0029] 1. The present invention obtains a synchronized soil data set package by synchronously controlling and analyzing various soil data and data information parameters, analyzes the synchronized soil data set package to obtain data integration information, generates corresponding soil data model information according to the data integration information, and analyzes the soil data model information to obtain model status information, thereby ensuring that the measurement and data transmission of each device are carried out synchronously to avoid affecting the final accurate analysis of soil moisture changes.

[0030] 2. The present invention obtains soil state information and equipment state information by identifying model state information. When the soil state information shows that the soil state is abnormal, the detected soil area corresponding to the soil state abnormality is marked as an abnormal area and the corresponding soil early warning information is generated. When the equipment information shows that the equipment is abnormal, the corresponding detection equipment is marked as an abnormal equipment and the corresponding equipment early warning information is generated, which is convenient for generating early warning information, conducive to timely locating the abnormal position, and increasing emergency convenience. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present application.

[0032] Figure 1 It is a principle block diagram of the present invention;

[0033] Figure 2 Schematic diagram of the structure of soil moisture detection equipment for plant monitoring

[0034] In the figure: 1. Device body; 11. Inclined surface; 2. Support rod; 3. Conical head; 4. Detection element; 5. Transmission component; 6. Main control panel; 7. Protective cover; 8. Photovoltaic panel. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 In an embodiment of the present invention, an embodiment of a soil moisture detection device for plant monitoring includes: a data acquisition unit, a synchronization control module, a data integration and analysis module, a monitoring and early warning module and a data storage unit.

[0037] The data acquisition unit installs a certain number of soil moisture detection devices into the soil near the plants as required, collects soil data through the soil moisture detection devices, obtains data information parameters corresponding to the soil data, and sends the soil data and the corresponding data information parameters to the synchronous control module; the soil data includes moisture data, water potential data and soil properties; the data information parameters include data time parameters, equipment parameters and data parameters.

[0038] The synchronous control module receives the soil data and data information parameters of each soil moisture detection device, performs synchronous control analysis on each soil data and data information parameter based on a unified standard clock to obtain a synchronous soil data collection package, and sends the synchronous soil data collection package to the data integration and analysis module.

[0039] The soil data and data information parameters are synchronously controlled and analyzed. The specific analysis steps are as follows:

[0040] The soil data corresponding to each detection time of each soil moisture detection device is obtained, and the data information parameters corresponding to each soil data are obtained, and the data time parameters, device parameters and data parameters are obtained by identifying the data information parameters.

[0041] The data time parameters include detection time and device clock information; the device clock information corresponding to each soil moisture detection device is calculated by difference with the unified standard clock to obtain the clock deviation value, and the detection time of each soil data is corrected and calculated with the corresponding clock deviation value to obtain the calibration detection time corresponding to each soil data.

[0042] The equipment parameters include the detection range and location information corresponding to each soil moisture detection device; a unique number is set for each soil moisture detection device and recorded as the equipment number, the detection range of the detection device is divided into multiple range intervals, each range interval corresponds to a range number, the detection range corresponding to each detection device is matched with the multiple range intervals to obtain the corresponding range number, and the equipment number and range number corresponding to each detection device are added and summed to obtain the equipment-associated parameters.

[0043] The specific analysis of the data parameters is as follows: obtaining data parameters corresponding to multiple data points of each soil data, the data parameters include data integrity and data fluctuation information, identifying the data integrity corresponding to each data point, marking the corresponding data point as a missing data point when the data integrity corresponds to data missing, counting the number of missing data points and recording them as the number of missing data points, calculating the ratio of the number of missing data points to the total number of data points to obtain a missing proportion value, obtaining a preset missing proportion threshold, and when the missing proportion value is greater than the missing proportion threshold, calculating the difference between the missing proportion value and the missing proportion threshold to obtain a missing impact value;

[0044] According to the data fluctuation information corresponding to each data point, the corresponding data fluctuation range is obtained, and the corresponding data maximum value and data minimum value are obtained according to the data fluctuation range. The data maximum value and the data minimum value are calculated by difference to obtain the data fluctuation value. When the data fluctuation value is greater than the preset fluctuation threshold, the corresponding data point is marked as an unstable data point, the number of unstable data points is counted and recorded as the number of unstable data points, and the instability index is calculated by ratio of the number of unstable data points to the total number of data points; the data status value is obtained by multiplying the instability index and the missing influence value. When the data status value is greater than the preset threshold, data status information is generated for the corresponding soil data.

[0045] The calibration detection time, equipment-related parameters and data status information are integrated to obtain the integrated label information corresponding to each soil data, the soil data are aggregated to generate a data collection package, and the integrated label information corresponding to each soil data and the data collection package are associated to obtain a synchronized soil data collection package.

[0046] The data integration and analysis module receives the synchronized soil data set package, analyzes the synchronized soil data set package to obtain data integration information, generates corresponding soil data model information based on the data integration information, analyzes the soil data model information to obtain model status information, and sends the model status information to the monitoring and early warning module.

[0047] The synchronous soil data set package is analyzed, and the specific analysis steps are as follows:

[0048] Obtain the planting soil area corresponding to the plant planting, identify the synchronized soil data set package to obtain the corresponding soil data and integrated label information, obtain the location information and detection range of each detection device according to the integrated label information, match the location information and detection range of each detection device with the planting soil area to obtain the detection soil area corresponding to each detection device.

[0049] The data status information of each soil data is identified. When the data status information is abnormal, the corresponding soil data is marked as abnormal data, and the number of abnormal soil data is counted. The ratio of the number of abnormal soil data to the total number of soil data of the corresponding detection equipment is calculated to obtain the abnormal data ratio. According to the abnormal data ratio, the equipment status information of each detection equipment is obtained. When the abnormal data ratio is greater than the preset abnormal ratio threshold, the corresponding equipment status information is generated as an abnormal device.

[0050] The planting soil area corresponding to the detection soil area of ​​each detection device is matched with each soil data, the soil data of each detection soil area is displayed to obtain a soil data display graph, and the soil data display graph and the device status information corresponding to each detection device are comprehensively displayed to obtain soil data model information.

[0051] The soil data model information is analyzed, and the specific analysis steps are as follows:

[0052] Extract soil data model information to obtain soil data and equipment status information corresponding to each detected soil area, and identify soil data to obtain moisture data, water potential data and soil properties;

[0053] The corresponding moisture content is obtained according to the moisture data, a preset moisture standard reference value is obtained, the difference between the current moisture content and the moisture standard reference value is calculated to obtain the moisture difference, the moisture difference is divided into multiple moisture difference intervals, each moisture difference interval corresponds to a water difference impact value, and the current moisture difference is matched with multiple moisture difference intervals to obtain the corresponding water difference impact value.

[0054] The corresponding water potential energy value is obtained according to the water potential data, and the pre-set standard water potential interval is obtained. The water potential energy value corresponding to the current soil data is matched with the standard water potential interval. When the water potential energy value exceeds the standard water potential interval, the corresponding water potential energy value is recorded as the water potential impact value.

[0055] The soil properties are identified to obtain the soil porosity and soil bulk density of the corresponding soil test area; a pre-set porosity standard value is obtained, and the soil porosity corresponding to the current soil properties is calculated by difference with the porosity standard value to obtain the soil porosity difference; a pre-set bulk density standard value is obtained, and the soil bulk density corresponding to the current soil properties is calculated by difference with the bulk density standard value to obtain the soil bulk density difference.

[0056] A rhombus is constructed with the values ​​of the water difference influence value and the water potential influence value as the two diagonals of the rhombus. A straight line perpendicular to the rhombus is drawn with the intersection of the two diagonals as the starting point. The length of the straight line is equal to the value of the soil pore difference. A circle is constructed with the endpoints of the straight line as the center. The length of the radius of the circle is equal to the value of the soil bulk density difference. An irregular frustum is constructed with the rhombus, the straight line and the circle. The volume of the irregular frustum is calculated and the value of the ground is marked as the soil state value. When the soil state value is greater than the set threshold, the corresponding soil state information is generated as a state abnormality, and the soil state information and the equipment state information are integrated to obtain the model state information.

[0057] The monitoring and early warning module receives the model status information and identifies the model status information to obtain soil status information and equipment status information. When the soil status information shows that the soil status is abnormal, the detected soil area corresponding to the soil status abnormality is marked as an abnormal area and the corresponding soil early warning information is generated. When the equipment information shows that the equipment is abnormal, the corresponding detection equipment is marked as an abnormal equipment and the corresponding equipment early warning information is generated.

[0058] The data storage unit stores soil data and data information parameters, and stores soil warning information and equipment warning information.

[0059] A soil moisture detection device for plant monitoring, further comprising a device body 1, through which the detected soil data is processed accordingly, a support rod 2 is installed on the lower surface of the device body 1, through which the monitoring device is supported, a conical head 3 is installed at the lower end of the support rod 2, through which the device can be easily installed, a detection element 4 is connected to the lower end of the conical head 3, and the detection element 4 is electrically connected to the device body 1, a transmission component 5 is connected to the upper surface of the device body 1, an inclined surface 11 is provided on the side of the device body 1, a main control panel 6 is connected to the surface of the inclined surface 11, a protective cover 7 is hinged on one side of the main control panel 6, and a photovoltaic panel 8 is installed on the other side of the device body 1;

[0060] The support rod 2 and the conical head 3 are inserted into the corresponding planting soil area for fixing, and the soil data of the corresponding planting soil area is collected through the detection element 4. The detection equipment can be controlled by the main control panel 6, and an inclined surface 11 and a protective cover 7 are provided to facilitate the sliding of rainwater and protect the main control panel 6. The synchronous soil data set package is sent through the transmission component 5, and the energy can be generated by the photovoltaic panel 8 to reduce the operating cost.

[0061] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A soil moisture detection device for plant monitoring, comprising a data acquisition unit and a data storage unit, characterized in that: Also includes: The synchronization control module is used to receive the soil data and data information parameters of each soil moisture detection device, perform synchronization control analysis on each soil data and data information parameter based on a unified standard clock to obtain a synchronized soil data collection package, and send the synchronized soil data collection package to the data integration and analysis module; A data integration and analysis module is used to receive a synchronous soil data collection package, analyze the synchronous soil data collection package to obtain data integration information, generate corresponding soil data model information according to the data integration information, analyze the soil data model information to obtain model status information, and send the model status information to the monitoring and early warning module; The monitoring and early warning module is used to receive model status information and identify the model status information to obtain soil status information and equipment status information. When the soil status information shows that the soil status is abnormal, the detected soil area corresponding to the soil status abnormality is marked as an abnormal area and the corresponding soil early warning information is generated. When the equipment information shows that the equipment is abnormal, the corresponding detection equipment is marked as an abnormal equipment and the corresponding equipment early warning information is generated.

2. A soil moisture detection device for plant monitoring according to claim 1, characterized in that: The invention also comprises a device body (1), wherein a support rod (2) is installed on the lower surface of the device body (1), a conical head (3) is installed on the lower end of the support rod (2), a detection element (4) is connected to the lower end of the conical head (3), and the detection element (4) is electrically connected to the device body (1), a transmission component (5) is connected to the upper surface of the device body (1), an inclined surface (11) is provided on the side of the device body (1), a main control panel (6) is connected to the surface of the inclined surface (11), a protective cover (7) is hinged on one side of the main control panel (6), and a photovoltaic panel (8) is installed on the other side of the device body (1).

3. A soil moisture detection device for plant monitoring according to claim 1, characterized in that: The data acquisition unit installs a certain number of soil moisture detection devices into the soil near the plants as required, collects soil data through the soil moisture detection devices, obtains data information parameters corresponding to the soil data, and sends the soil data and the corresponding data information parameters to the synchronous control module; the soil data includes moisture data, water potential data and soil properties; the data information parameters include data time parameters, equipment parameters and data parameters.

4. The soil moisture detection device for plant monitoring according to claim 1, characterized in that: The specific analysis steps of the synchronous control analysis of each soil data and data information parameter are as follows: Obtain soil data corresponding to each detection time of each soil moisture detection device, and obtain data information parameters corresponding to each soil data, and obtain data time parameters, device parameters and data parameters by identifying the data information parameters; Data time parameters include detection time and device clock information; The clock information corresponding to each soil moisture detection device is calculated by difference with the unified standard clock to obtain the clock deviation value, and the detection time of each soil data is corrected and calculated with the corresponding clock deviation value to obtain the calibration detection time corresponding to each soil data; The equipment parameters include the detection range and location information corresponding to each soil moisture detection device; a unique number is set for each soil moisture detection device and recorded as the equipment number, the detection range of the detection device is divided into multiple range intervals, each range interval corresponds to a range number, the detection range corresponding to each detection device is matched with the multiple range intervals to obtain the corresponding range number, and the equipment number and the range number corresponding to each detection device are added and summed to obtain the equipment-related parameters; The specific analysis of the data parameters is as follows: obtaining data parameters corresponding to multiple data points of each soil data, the data parameters include data integrity and data fluctuation information, identifying the data integrity corresponding to each data point, marking the corresponding data point as a missing data point when the data integrity corresponds to data missing, counting the number of missing data points and recording them as the number of missing data points, calculating the ratio of the number of missing data points to the total number of data points to obtain a missing proportion value, obtaining a preset missing proportion threshold, and when the missing proportion value is greater than the missing proportion threshold, calculating the difference between the missing proportion value and the missing proportion threshold to obtain a missing impact value; According to the data fluctuation information corresponding to each data point, the corresponding data fluctuation range is obtained, and the corresponding data maximum value and data minimum value are obtained according to the data fluctuation range. The data fluctuation value is obtained by performing difference calculation on the data maximum value and the data minimum value. When the data fluctuation value is greater than the preset fluctuation threshold, the corresponding data point is marked as an unstable data point, and the number of unstable data points is counted and recorded as the number of unstable data points. The instability index is obtained by calculating the ratio of the number of unstable data points to the total number of data points. The instability index is multiplied by the missing impact value to obtain a data status value, and when the data status value is greater than a preset threshold, data status information is generated for the corresponding soil data; The calibration detection time, equipment-related parameters and data status information are integrated to obtain the integrated label information corresponding to each soil data, the soil data are aggregated to generate a data collection package, and the integrated label information corresponding to each soil data and the data collection package are associated to obtain a synchronized soil data collection package.

5. The soil moisture detection device for plant monitoring according to claim 1, characterized in that: The specific analysis steps for analyzing the synchronous soil data set package are as follows: Obtain the planting soil area corresponding to the plant planting, identify the synchronous soil data set package to obtain the corresponding soil data and integrated label information, obtain the location information and detection range of each detection device according to the integrated label information, match the location information and detection range of each detection device with the planting soil area to obtain the detection soil area corresponding to each detection device; Identify the data status information of each soil data. When the data status information is abnormal, mark the corresponding soil data as abnormal data, count the number of abnormal soil data, and calculate the ratio of the number of abnormal soil data to the total number of soil data of the corresponding detection equipment to obtain the abnormal data ratio. According to the abnormal data ratio, obtain the device status information of each detection equipment. When the abnormal data ratio is greater than the preset abnormal ratio threshold, generate the corresponding device status information as abnormal equipment; The planting soil area corresponding to the detection soil area of ​​each detection device is matched with each soil data, the soil data of each detection soil area is displayed to obtain a soil data display graph, and the soil data display graph and the device status information corresponding to each detection device are comprehensively displayed to obtain soil data model information.

6. The soil moisture detection device for plant monitoring according to claim 1, characterized in that: The soil data model information is analyzed, and the specific analysis steps are as follows: Extract soil data model information to obtain soil data and equipment status information corresponding to each detected soil area, and identify soil data to obtain moisture data, water potential data and soil properties; Obtain the corresponding moisture content according to the moisture data, obtain a preset moisture standard reference value, perform difference calculation between the current moisture content and the moisture standard reference value to obtain a moisture difference, divide the moisture difference into multiple moisture difference intervals, each moisture difference interval corresponds to a water difference impact value, match the current moisture difference value with multiple moisture difference intervals to obtain the corresponding water difference impact value; According to the water potential data, the corresponding water potential energy value is obtained, the pre-set standard water potential interval is obtained, and the water potential energy value corresponding to the current soil data is matched with the standard water potential interval. When the water potential energy value exceeds the standard water potential interval, the corresponding water potential energy value is recorded as the water potential impact value; Identify the soil properties to obtain the soil porosity and soil bulk density of the corresponding soil area; obtain a pre-set porosity standard value, and perform a difference calculation between the soil porosity corresponding to the current soil properties and the porosity standard value to obtain a soil porosity difference; obtain a pre-set bulk density standard value, and similarly obtain a soil bulk density difference corresponding to the soil bulk density; A rhombus is constructed with the values ​​of the water difference influence value and the water potential influence value as the two diagonals of the rhombus. A straight line perpendicular to the rhombus is drawn with the intersection of the two diagonals as the starting point. The length of the straight line is equal to the value of the soil pore difference. A circle is constructed with the end points of the straight line as the center. The length of the radius of the circle is equal to the value of the soil bulk density difference. An irregular frustum is constructed with the rhombus, the straight line and the circle. The volume of the irregular frustum is calculated and the value of the land mass is marked as the soil state value. When the soil state value is greater than the set threshold, the corresponding soil state information is generated as abnormal state, and the soil state information and the equipment state information are integrated to obtain the model state information.

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