Planting information processing method and device, electronic equipment and storage medium

Abstract

The invention discloses a planting information processing method and apparatus, an electronic device and a storage medium. The method comprises the steps of controlling an intelligent communication device to display a first interface in response to a first operation of a user; the first interface comprises a first element used for displaying a target planting area and a second element used for identifying a high-risk landslide zone in the target planting area; in response to a second operation of the user, the intelligent communication device is controlled to display a second interface, the second interface comprises a third element used for identifying a positioning tag, and the positioning tag is used for monitoring position data of the high-risk landslide zone; when a preset event is recognized, the intelligent communication device is controlled to display a third interface, the third interface comprises a fourth element used for displaying landslide risk prompt information, the preset event is that the accumulated deformation corresponding to the positioning tag is larger than a preset threshold value, and the accumulated deformation is determined according to the position data. According to the method, the data processing accuracy of the server and the planting function related interface interaction reliability can be improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a planting information processing method, device, electronic device and storage medium. Background Art

[0002] Cash crops are crops with high economic value that are constrained by geographical conditions. At present, large-scale planting areas of some cash crops will cause the geology of the area to become very soft over time. Among them, the impact on cash crops with large water consumption is the most obvious. When the geology becomes soft, if a heavy rainfall event occurs, it is easy to cause the entire mountain slope where cash crops are planted to be overly flooded and the entire slope becomes soft and moves downward, causing large-scale losses of cash crops. Currently, users usually adopt specific planting methods (for example, special requirements for the depth and height of planting pits) to reduce the impact of soft geology, but this has high requirements for planting and there is still a risk of crop loss. Summary of the invention

[0003] The embodiments of the present application provide a planting information processing method, device, electronic device and storage medium, in order to improve the accuracy of data processing by the server and the reliability of interface interaction related to planting functions, thereby alerting users to promptly discover soil downward movement and reinforce the corresponding positions in advance to avoid economic crop losses.

[0004] In a first aspect, an embodiment of the present application provides a planting information processing method, which is applied to a server of a smart agricultural monitoring system, wherein the smart agricultural monitoring system includes the server, a positioning tag, and an intelligent communication device, and the server and the intelligent communication device are in communication connection; the method includes:

[0005] In response to a first operation performed by a user on the intelligent communication device, the intelligent communication device is controlled to display a first interface; the first interface includes a first element and a second element, the first element is used to display a target planting area, and the second element is used to identify a high-risk landslide zone within the target planting area, the high-risk landslide zone is content determined by the server according to planting data of the target planting area, and the planting data includes: slope information, soil type information, plant species information, planting cover information and soil moisture information;

[0006] In response to a second operation performed by a user on the intelligent communication device, controlling the intelligent communication device to display a second interface, wherein the second interface includes the first element, the second element, and a third element, wherein the third element is used to identify a positioning tag within the high-risk landslide zone, and the positioning tag is used to monitor location data of the high-risk landslide zone;

[0007] When a preset event is identified, the intelligent communication device is controlled to display a third interface, the third interface includes a fourth element, and the fourth element is used to display landslide risk warning information. The preset event is that the cumulative deformation corresponding to the positioning tag is greater than a preset threshold, and the cumulative deformation is determined according to the position data. The landslide risk warning information is used to prompt the user to detect and reinforce the soil in the high-risk landslide area monitored by the positioning tag where the preset event occurs.

[0008] In a possible example of the first aspect, when a preset event is identified, controlling the intelligent communication device to display a third interface includes:

[0009] Acquire the position data corresponding to the positioning tag, the position data includes marked data and real-time data, the marked data is the initial position information collected by the positioning tag, the real-time data is the real-time position information periodically collected by the positioning tag, and the position information is used to represent the three-dimensional coordinate information collected by the positioning tag;

[0010] Subtracting the real-time data from the marked data to obtain the accumulated deformation;

[0011] comparing the accumulated deformation amount with the preset threshold;

[0012] When the accumulated deformation is greater than the preset threshold, the high-risk landslide zone corresponding to the positioning tag is determined to be the target risk landslide zone, and the intelligent communication device is controlled to display a third interface.

[0013] In a possible example of the first aspect, the comparing the accumulated deformation amount with the preset threshold includes:

[0014] determining a deformation direction according to the accumulated deformation amount;

[0015] Determine the preset threshold value according to the deformation direction, the plant species information and the plant growth characteristic information, wherein the plant growth characteristic information is the planting data;

[0016] The accumulated deformation amount is compared with the preset threshold.

[0017] In a possible example of the first aspect, the high-risk landslide zone is determined according to the following steps:

[0018] Determine a plurality of slope areas within the target planting area and a slope value of each of the slope areas according to the slope information;

[0019] Determine soil type data, vegetation coverage data and soil moisture data corresponding to each slope area according to the soil type information, the vegetation coverage information and the soil moisture information;

[0020] For each of the slope areas described, perform the following steps:

[0021] Inputting the slope value of the slope area and soil type data, vegetation coverage data and soil moisture data corresponding to the slope area into a risk prediction model to obtain model output data, wherein the model output data is a risk prediction value of the slope area;

[0022] comparing the risk prediction value with the risk threshold;

[0023] If the risk prediction value is greater than or equal to the risk threshold, determining the slope area as the high-risk landslide zone;

[0024] If the risk prediction value is less than the risk threshold, the slope area is determined to be a non-high-risk landslide zone.

[0025] In a possible example of the first aspect, determining the soil type data, the vegetation cover data, and the soil moisture data corresponding to each of the slope areas according to the vegetation cover information, the soil type information, and the soil moisture information includes:

[0026] Determine the vegetation coverage corresponding to the slope area in the vegetation coverage information;

[0027] The vegetation coverage degree data of the slope area is determined according to the vegetation coverage condition.

[0028] In a possible example of the first aspect, determining the soil type data, the vegetation cover data, and the soil moisture data corresponding to each of the slope areas according to the soil type information, the vegetation cover information, and the soil moisture information further includes:

[0029] Dividing the target planting area into a plurality of planting sub-areas according to the plant species information, each of the planting sub-areas is equipped with at least one soil environment monitor, and the soil environment monitor is used to collect the soil information;

[0030] determining a target soil environment monitor within the slope area;

[0031] If the number of the target soil environment monitor is one, the corresponding type data and moisture data are determined according to the soil information collected by the target soil environment monitor, and the type data is determined as the soil type data of the slope area, and the moisture data is determined as the soil moisture data of the slope area;

[0032] If there are multiple target soil environment monitors, the corresponding type data and humidity data are determined based on the soil information collected by the multiple target soil environment monitors, and the soil type data of the slope area is determined based on all the type data, and the average of all the humidity data is determined as the soil humidity data of the slope area.

[0033] In a possible example of the first aspect, after controlling the intelligent communication device to display a second interface in response to a second operation performed by the user on the intelligent communication device, the method further includes:

[0034] In response to a third operation performed by the user on the intelligent communication device, the intelligent communication device is controlled to display a fourth interface, the fourth interface includes a fifth element, and the fifth element is used to display a change graph of the cumulative deformation corresponding to the target positioning tag. The target high-risk landslide zone is any one of the high-risk landslide zones.

[0035] In a second aspect, an embodiment of the present application provides a planting information processing device, which is applied to a server of a smart agricultural monitoring system, wherein the smart agricultural monitoring system includes the server, a positioning tag, and an intelligent communication device, wherein the server and the intelligent communication device are in communication connection; the planting information processing device includes:

[0036] A first response unit is used to control the intelligent communication device to display a first interface in response to a first operation performed by a user on the intelligent communication device; the first interface includes a first element and a second element, the first element is used to display a target planting area, and the second element is used to identify a high-risk landslide zone within the target planting area, the high-risk landslide zone is content determined by the server according to planting data of the target planting area, and the planting data includes: slope information, soil type information, plant species information, planting cover information and soil moisture information;

[0037] A second response unit is used to control the intelligent communication device to display a second interface in response to a second operation performed by the user on the intelligent communication device, wherein the second interface includes the first element, the second element and a third element, wherein the third element is used to identify a positioning tag in the high-risk landslide zone, and the positioning tag is used to monitor the location data of the high-risk landslide zone;

[0038] An identification unit is used to control the intelligent communication device to display a third interface when a preset event is identified, the third interface includes a fourth element, and the fourth element is used to display landslide risk warning information. The preset event is that the cumulative deformation corresponding to the positioning tag is greater than a preset threshold, and the cumulative deformation is determined according to the position data. The landslide risk warning information is used to prompt the user to detect and reinforce the soil in the high-risk landslide area monitored by the positioning tag where the preset event occurs.

[0039] In a third aspect, an embodiment of the present application provides an electronic device, comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.

[0040] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium that stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute some or all of the steps described in the first aspect of this embodiment.

[0041] It can be seen that in this embodiment, the server controls the intelligent communication device to display a first interface in response to a first operation performed by the user on the intelligent communication device; the first interface includes a first element and a second element, the first element is used to display the target planting area, and the second element is used to identify the high-risk landslide zone in the target planting area, the high-risk landslide zone is the content determined by the server according to the planting data of the target planting area, and the planting data includes: slope information, soil type information, plant species information, planting cover information and soil moisture information; the intelligent communication device can also be controlled to display a second interface in response to a second operation performed by the user on the intelligent communication device, the second interface includes a first element, a second element and a third element, the third element is used to identify a positioning tag in the high-risk landslide zone, and the positioning tag is used to monitor the location data of the high-risk landslide zone; the intelligent communication device can also be controlled to display a third interface when a preset event is identified, the third interface includes a fourth element, and the fourth element is used to display landslide risk prompt information, the preset event is that the cumulative deformation corresponding to the positioning tag is greater than the preset threshold, the cumulative deformation is determined according to the location data, and the landslide risk prompt information is used to prompt the user to detect and reinforce the soil in the high-risk landslide zone monitored by the positioning tag where the preset event occurs. It can be seen that this application determines the high-risk landslide zone based on the planting data of the target planting area based on the user's first operation, and displays the target planting area and the high-risk landslide zone through the first interface, and then determines the positioning tag in the high-risk landslide zone based on the user's second operation, and displays the positioning tag through the second interface. The accuracy of the determined high-risk landslide zone and positioning tag can be ensured through interface interactive confirmation based on the data processing of the server, thereby ensuring the reliability of the detection position. On this basis, the preset event is identified by monitoring the location data collected by the positioning tag, so that the landslide risk warning information is displayed to the user when the preset event is identified, which is conducive to ensuring the accuracy and reliability of the landslide risk warning information displayed on the fourth interface, thereby warning the user to promptly discover the soil downward movement and reinforce the corresponding position in advance to avoid economic crop losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 This is a schematic diagram of the architecture of a smart agricultural monitoring system provided by an embodiment of the present application;

[0044] Figure 2It is a flowchart of a planting information processing method provided in an embodiment of the present application;

[0045] Figure 3 This is an interface display diagram of a first interface provided in an embodiment of the present application;

[0046] Figure 4 This is an interface display diagram of a second interface provided in an embodiment of the present application;

[0047] Figure 5 This is an interface display diagram of a third interface provided in an embodiment of the present application;

[0048] Figure 6 This is an interface display diagram of a landslide warning interface provided by an embodiment of the present application;

[0049] Figure 7 This is an interface display diagram of a fourth interface provided in an embodiment of the present application;

[0050] Figure 8 is a composition example diagram of an electronic device provided in an embodiment of the present application;

[0051] Fig. 9 It is a functional unit composition block diagram of a first planting information processing device provided in an embodiment of the present application;

[0052] Fig.10 It is a block diagram of the functional units of a second type of information processing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0053] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0054] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0055] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0056] The embodiments of the present application are described below with reference to the accompanying drawings.

[0057] The technical solution of this application can be applied to Figure 1 The smart agriculture monitoring system 10 shown includes a server 110 , an intelligent communication device 120 and a positioning tag 130 .

[0058] Among them, the server 110 can be an outsourced server, a cloud server, an edge server, an intelligent robot, etc., which is not limited here.

[0059] Among them, the intelligent communication device 120 can be a smart phone (such as an Android phone, an iOS phone, a Windows Phone phone, etc.), a smart computer (such as a tablet computer, a PDA, a laptop computer, a desktop computer, etc.), a driving recorder, a mobile Internet device (MID, Mobile Internet Devices) or a wearable device (such as a smart watch, a Bluetooth headset), etc. The above are only examples and not exhaustive, including but not limited to the above devices.

[0060] Among them, the positioning tag 130 is a positioning device, for example, the positioning tag 130 is a Beidou positioning tag. The Beidou positioning tag is a positioning device that integrates the Beidou satellite navigation system technology, and it can use the signals provided by the Beidou satellite system to accurately locate the position. The Beidou positioning tag receives the navigation signal sent by the Beidou satellite and uses the satellite positioning technology to calculate its own three-dimensional coordinate information (specifically including longitude, latitude, altitude, etc.). The Beidou positioning tag can output the calculated three-dimensional coordinate information in the form of data or transmit it to the server 110 through the network.

[0061] Specifically, the server can determine the high-risk landslide zone based on the planting data and display it through the first interface by responding to the first operation of the user on the intelligent communication device. Then, based on the second operation of the user on the intelligent communication device, the sampling position of the positioning tag installed in the high-risk landslide zone is determined, and the assembled positioning tag is identified by the third element in the second interface. The server can periodically obtain the position data collected by the positioning tag to monitor the soil deformation, and trigger the landslide risk warning when it is identified that the cumulative deformation corresponding to the positioning tag is greater than the preset threshold, so as to prompt the user to detect and reinforce the soil in the high-risk landslide zone monitored by the positioning tag where the preset event occurs, so as to realize the slope stability monitoring function.

[0062] Specifically, the smart agriculture monitoring system 10 also includes radar equipment (such as a drone carrying a laser radar) and a soil environment monitor, wherein the radar equipment is used to collect laser point cloud remote sensing data of the planting area. The server can obtain the laser point cloud remote sensing data collected by the radar equipment, and analyze and process to obtain the slope information, vegetation coverage information, and plant species information of the planting area. The soil environment monitor is used to collect soil type information and soil moisture information of the planting area. The server can integrate the slope information, vegetation coverage information, plant species information, soil type information, and soil moisture information of a single planting area to obtain the planting data of the planting area, so as to assist in realizing the above-mentioned process of prompting the user to detect and reinforce the soil.

[0063] Specifically, the smart agriculture monitoring system 10 may also include a camera device, which can collect image data of the plant and send the image data to a server. The server can analyze and process the image data to obtain plant growth characteristic information, thereby further integrating and improving the planting data.

[0064] In a specific implementation, the server can also analyze and extract key features from the image data collected by the camera, such as the shape, size, and texture of the lesions; thereby determining the type of pests and diseases and the degree of pests and diseases based on the key features. When pests and diseases exist, the server can send pest and disease prompt information to the intelligent communication device to display the type of pests and diseases, the degree of pests and diseases, and the location information of pests and diseases through an interface display, thereby realizing the pest and disease monitoring function and improving the comprehensiveness of the functions of the smart agricultural monitoring system. Among them, the corresponding positioning information is recorded when the camera is installed, and the corresponding pest and disease location information can be obtained according to the corresponding device number of the camera device that collects the image data containing pests and diseases.

[0065] In a specific implementation, the soil environment monitor can also be used to collect soil attribute information. Basic soil attribute information includes soil moisture, soil nutrient content (nitrogen, phosphorus, potassium), soil pH, organic matter content, and trace elements (iron (Fe), manganese (Mn), zinc (Zn), and copper (Cu)). Specifically, the server can divide the target planting area into multiple planting sub-areas based on the plant species information, and configure at least one soil environment monitor and camera equipment in a single planting sub-area.

[0066] In a specific implementation, the server can determine the growth stage of the plant based on the plant growth characteristic information and plant species information in the monitoring area of ​​the soil environment monitor, thereby determining the soil fertility requirement range based on the growth stage. Then, the basic soil attribute information collected by the soil environment monitor is compared with the soil fertility requirement range to determine whether there is a fertilizer deficiency. When a fertilizer deficiency exists, the server can send fertilizer deficiency prompt information to the intelligent communication device, so that the intelligent communication device can display the fertilizer deficiency prompt information through the interface display, thereby prompting the user to supplement the type of nutrition that needs to be supplemented, such as water, nitrogen, phosphorus, potassium, etc., thereby realizing the fertility monitoring function and improving the comprehensiveness of the functions of the smart agricultural monitoring system.

[0067] The following is a detailed description of the slope stability monitoring function implemented by the smart agriculture monitoring system 10 in the embodiment of the present application in conjunction with the accompanying drawings.

[0068] See also Figure 2 , Figure 2 is a flow chart of a planting information processing method provided in an embodiment of the present application. The method can be applied in Figure 1 The server 110 in the smart agricultural monitoring system shown in FIG. Figure 2 As shown, the planting information processing method includes:

[0069] Step S210, in response to a first operation performed by a user on the intelligent communication device, controlling the intelligent communication device to display a first interface; the first interface includes a first element and a second element, the first element is used to display a target planting area, and the second element is used to identify a high-risk landslide area within the target planting area.

[0070] Among them, a single user can have multiple planting areas, and the target planting area is one of the planting areas selected by the user. The planting area includes at least one of a flat area and a slope area (such as an area corresponding to a terrace) for planting. The high-risk landslide area is a slope area.

[0071] Among them, the first operation refers to the operation in which the user establishes slope stability monitoring items for the target planting area through the intelligent communication device.

[0072] In a specific implementation, the initial interface displayed by the intelligent communication device includes a topographic map of the target planting area. For example, the initial interface includes an image display control, and the topographic map of the target planting area is displayed within the coverage area of ​​the image display control. After the server detects the first operation, it will first obtain the planting data of the target planting area to determine the high-risk landslide zone in the target planting area based on the planting data of the target planting area. A single target planting area may have one or more high-risk landslide zones. After the server determines the high-risk landslide zone, it can add a layer based on the topographic map to identify the high-risk landslide zone in the topographic map in a first preset form, thereby obtaining a first interface. Among them, the topographic map of the target planting area is the first element, and the identification content in the first preset form is the second element.

[0073] For example, see Figure 3 , Figure 3 The topographic map shown in is the first element. Figure 3 The red dotted box is the second element, and the area within the red dotted box is the high-risk landslide area. Specifically, the server can also distinguish the low-risk landslide area in the target planting area based on the planting information. The low-risk landslide area can be Figure 3 The green dashed box in the

[0074] Among them, the planting data includes slope information, soil type information, plant species information, vegetation coverage information and soil moisture information, etc. Among them, the slope information includes the location information of the location with a slope in the target planting area. The soil type information includes the soil type collected by all soil environment monitors in the target planting area and the correspondence between the soil type and the soil environment monitor. The correspondence between the corresponding positions; the plant species information includes the plant species of all plants planted in the target planting area, such as trees, shrubs, vines, grasses, ferns, green algae, lichens, etc. The vegetation coverage information includes the vegetation planting conditions at all locations in the target planting area. The soil moisture information includes the soil moisture collected by all soil environment monitors in the target planting area and the correspondence between the soil moisture and the soil environment monitor.

[0075] Step S220, in response to a second operation performed by the user on the smart communication device, controlling the smart communication device to display a second interface, wherein the second interface includes the first element, the second element and a third element, and the third element is used to identify a positioning tag within the high-risk landslide zone.

[0076] Wherein, the positioning tag is used to monitor the location data of the high-risk landslide zone.

[0077] The second operation refers to the operation in which the user establishes a label addressing item for a high-risk landslide area through an intelligent communication device.

[0078] In a specific implementation, the first interface also includes a label addressing control. After the user determines that the high-risk landslide zone is correctly identified through the first interface, the user can execute the second operation component to trigger the label addressing control to send a label addressing request to the server. The server will determine the preset label position of each high-risk landslide zone based on the label addressing request. The server can add a layer based on the first interface to identify the positioning label at the preset label position in the high-risk landslide zone of the topographic map in a second preset form, thereby obtaining a second interface. Among them, the identification content of the second preset form is the third element. For example, see Figure 4 , Figure 4 The blue dot in the middle is the third element, and the corresponding position of the blue dot is the preset label position.

[0079] Specifically, the user can obtain the preset tag position through the second interface displayed by the intelligent communication device, and install the positioning tag at the preset tag position. After the positioning tag is installed, the initial position information at this time can be uploaded to the server, and the real-time position information can be uploaded to the server periodically during the subsequent monitoring process. Specifically, the second interface includes a local positioning control. When installing a positioning tag, the user can trigger the third element corresponding to a single positioning tag to take the positioning tag as the target. The server can control the intelligent communication device to display the preset tag position of the positioning tag in response to the user's triggering operation of the third element. When installing a positioning tag, the user can also trigger the local positioning control after reaching the vicinity of the preset tag position corresponding to the positioning tag. The server can control the intelligent communication device to display the location information of the local device in response to the user's triggering operation, so that the user can compare whether the location information of the local device is consistent with the preset tag position, and install the positioning tag after confirming the consistency, thereby ensuring the accuracy of the installation position of the positioning tag.

[0080] In a specific implementation, the server can determine the preset label position of a single high-risk landslide zone according to the following steps: the server can determine the terrain type according to the slope data of the high-risk landslide zone in the slope information, and the terrain type includes a gentle slope type and a stepped slope type. If the high-risk landslide zone is a gentle slope type, that is, the high-risk landslide zone is gently inclined, the number of positioning labels and the preset label position are determined according to the slope value and the regional range of the high-risk landslide zone. At this time, the multiple preset label positions of the high-risk landslide zone can be set at equal intervals. If the high-risk landslide zone is a stepped slope type, taking terraces as an example, the height difference between two adjacent levels of the terraces can be determined, so as to identify the drop range to which the height difference belongs, and then set the preset label position within the range of two adjacent levels according to the label preset rule corresponding to the drop range. If it is identified as belonging to the high drop range according to the height drop, the number of preset label positions within the range of two adjacent levels is relatively more and the spacing is relatively smaller. If it is identified as belonging to the low drop range according to the height drop, the number of preset label positions within the range of two adjacent levels is relatively less and the spacing is relatively larger.

[0081] Step S330, when a preset event is identified, the intelligent communication device is controlled to display a third interface, the third interface includes a fourth element, the fourth element is used to display landslide risk warning information, and the preset event is that the cumulative deformation corresponding to the positioning tag is greater than a preset threshold.

[0082] Among them, the cumulative deformation is determined based on the location data, and the landslide risk warning information is used to prompt the user to detect and reinforce the soil in the high-risk landslide area monitored by the positioning tag where the preset event occurs.

[0083] In a possible example, when a preset event is identified, the intelligent communication device is controlled to display a third interface, including: obtaining position data corresponding to the positioning tag, the position data including mark data and real-time data, the mark data being initial position information collected by the positioning tag, the real-time data being real-time position information periodically collected by the positioning tag, and the position information being used to characterize the three-dimensional coordinate information collected by the positioning tag; subtracting the real-time data from the mark data to obtain the cumulative deformation; comparing the cumulative deformation with the preset threshold; when the cumulative deformation is greater than the preset threshold, determining that the high-risk landslide zone corresponding to the positioning tag is the target risk landslide zone, and controlling the intelligent communication device to display the third interface.

[0084] Among them, the marking data is the three-dimensional coordinate information collected by the positioning tag at the installation completion time node, and the real-time data is specifically the three-dimensional coordinate information collected by the positioning tag at the end time node of a single cycle or the start time node of the next cycle.

[0085] In a specific implementation, the server will periodically monitor the corresponding cumulative deformation for each positioning tag, so as to determine that a preset event has been identified when the cumulative deformation of the positioning tag is greater than a preset threshold. Specifically, after obtaining the real-time data uploaded in the target period, the server will call the database to obtain the marking data. Then the real-time data and the marking data are subtracted to obtain the cumulative deformation. The server can then compare the cumulative deformation with the preset threshold. If the cumulative deformation is less than or equal to the preset threshold, it is determined that the preset event has not occurred for the positioning tag. If the cumulative deformation is greater than the preset threshold, it is determined that the preset event has occurred for the positioning tag. At this time, the server can control the intelligent communication device to display the third interface.

[0086] Specifically, the comparing the cumulative deformation amount and the preset threshold value includes: determining the deformation direction according to the cumulative deformation amount; determining the preset threshold value according to the deformation direction, the plant species information and the plant growth characteristic information, the plant growth characteristic information being the planting data; comparing the cumulative deformation amount and the preset threshold value.

[0087] The plant growth characteristic information includes the height, diameter, volume and shape of the plant.

[0088] Specifically, since the high-risk landslide zone has a slope, the soil at a high position becomes soft and moves downward, and the soil at a low position may accumulate and increase in height. Therefore, the cumulative deformation variable obtained by subtracting the real-time data and the marked data may be a negative value. At this time, there is a risk of covering the plants and causing plant losses. If the cumulative deformation variable is a positive value, it can be determined that the deformation direction is downward; if the cumulative deformation variable is a negative value, it can be determined that the deformation direction is upward. After determining the deformation direction, the server can obtain the plant species information and plant growth characteristic information in the planting data to determine the preset threshold according to the deformation direction, plant species information and plant growth characteristic information. If the deformation direction is downward, the preset threshold is the deformation value corresponding to the minimum critical value requirement for the planting depth, and if the deformation direction is upward, the preset threshold is the deformation value corresponding to the maximum critical value requirement for the planting depth. After the preset threshold is determined, the server can compare the absolute value of the cumulative deformation variable with the preset threshold to determine whether the preset event occurs.

[0089] It can be seen that in this example, the server determines the preset threshold based on the deformation direction, plant species information and plant growth characteristic information, and then compares the cumulative deformation amount with the preset threshold to determine whether the preset event occurs, which is beneficial to improve the accuracy and flexibility of the server's data processing and improve the reliability of preset event recognition.

[0090] It can be seen that in this example, the server obtains the cumulative deformation by subtracting the real-time data and the marking data of the positioning tag, and then determines whether the preset event occurs by comparing the cumulative deformation amount with the preset threshold. This is conducive to improving the simplicity of the server in determining the cumulative deformation amount and the real-time nature of the data, thereby improving the reliability of preset event recognition.

[0091] In a specific implementation, after the server recognizes a preset event, it can send an early warning prompt to the intelligent communication device, and the intelligent communication device can display the third interface according to the early warning prompt. Specifically, when a preset event is recognized, the intelligent communication device has a screen-off state, a state of using a functional application provided by the agricultural monitoring system, a state of not using a functional application provided by the agricultural monitoring system, and other use states, and the intelligent communication device can display the third interface according to different use states.

[0092] Specifically, if the smart communication device is in the screen-off state, the third interface displayed by the smart communication device according to the early warning prompt is the screen-off notification interface, and the fourth element is the screen-off notification control. If the smart communication device is in other usage states where the functional applications provided by the agricultural monitoring system are not used, the third interface displayed by the smart communication device according to the early warning prompt is the message prompt interface, and the fourth element is displayed in the form of a message pop-up control or a notification bar message control. If the smart communication device is in the state of using the functional applications provided by the agricultural monitoring system, the third interface displayed by the smart communication device according to the early warning prompt is the application pop-up interface, and the fourth element is the application pop-up control, such as Figure 5 shown.

[0093] Specifically, when the server detects the user's trigger operation on the fourth element, it can jump to the landslide warning interface, which includes a landslide warning element. The landslide warning element is used to identify the landslide warning area to show the user the area that needs to be detected and reinforced. The landslide warning area is the monitoring area corresponding to the positioning tag. For example, see Figure 6 , the landslide warning element is a red solid line frame.

[0094] It can be seen that in this embodiment, the server controls the intelligent communication device to display a first interface in response to a first operation performed by the user on the intelligent communication device; the first interface includes a first element and a second element, the first element is used to display the target planting area, and the second element is used to identify the high-risk landslide zone in the target planting area, the high-risk landslide zone is the content determined by the server according to the planting data of the target planting area, and the planting data includes: slope information, soil type information, plant species information, planting cover information and soil moisture information; the intelligent communication device can also be controlled to display a second interface in response to a second operation performed by the user on the intelligent communication device, the second interface includes a first element, a second element and a third element, the third element is used to identify a positioning tag in the high-risk landslide zone, and the positioning tag is used to monitor the location data of the high-risk landslide zone; the intelligent communication device can also be controlled to display a third interface when a preset event is identified, the third interface includes a fourth element, and the fourth element is used to display landslide risk prompt information, the preset event is that the cumulative deformation corresponding to the positioning tag is greater than the preset threshold, the cumulative deformation is determined according to the location data, and the landslide risk prompt information is used to prompt the user to detect and reinforce the soil in the high-risk landslide zone monitored by the positioning tag where the preset event occurs. It can be seen that this application determines the high-risk landslide zone based on the planting data of the target planting area based on the user's first operation, and displays the target planting area and the high-risk landslide zone through the first interface, and then determines the positioning tag in the high-risk landslide zone based on the user's second operation, and displays the position of the positioning tag through the second interface. The accuracy of the determined high-risk landslide zone and the positioning tag can be guaranteed through interface interactive confirmation based on the data processing of the server, thereby ensuring the reliability of the detection position. On this basis, the preset event is identified by monitoring the location data collected by the positioning tag, so that the landslide risk warning information is displayed to the user when the preset event is identified, which is conducive to ensuring the accuracy and reliability of the landslide risk warning information displayed on the fourth interface, thereby warning the user to promptly discover the soil downward movement and reinforce the corresponding position in advance to avoid economic crop losses.

[0095] In one possible example, the high-risk landslide zone is determined according to the following steps: determine multiple slope areas within the target planting area and the slope value of each slope area according to the slope information; determine the soil type data, vegetation coverage data and soil moisture data corresponding to each slope area according to the soil type information, the vegetation coverage information and the soil moisture information; perform the following steps for each slope area: input the slope value of the slope area and the soil type data, vegetation coverage data and soil moisture data corresponding to the slope area into a risk prediction model to obtain model output data, wherein the model output data is the risk prediction value of the slope area; compare the risk prediction value with the risk threshold; if the risk prediction value is greater than or equal to the risk threshold, determine that the slope area is the high-risk landslide zone; if the risk prediction value is less than the risk threshold, determine that the slope area is a non-high-risk landslide zone.

[0096] The risk prediction value is used to characterize the landslide risk of the slope area. The larger the risk prediction value, the greater the risk, that is, the easier it is to landslide. Among them, the risk prediction model is a multivariate linear regression model.

[0097] In a specific implementation, the server can first identify multiple slope areas within the target planting area based on the slope information in the planting data. Then, the target data corresponding to each slope area is determined based on the planting data, and the target data includes at least the slope value, soil type data, vegetation coverage data, and soil moisture data. Then, the target data is input into the risk prediction model to obtain a risk prediction value, and the risk prediction value is compared with the risk threshold to determine whether the slope area is a high-risk landslide zone or a non-high-risk landslide zone. Among them, the risk threshold can be determined based on training data, and the training data includes target data of known high-risk landslide zones and target data of known non-high-risk landslide zones. Specifically, the risk threshold can be the minimum value of the risk prediction value determined based on the target data of known high-risk landslide zones.

[0098] Specifically, the slope value in the target data is used to characterize the slope of the slope area. The slope value can be determined based on the data content corresponding to the slope area in the slope information. For example, the slope value of the slope area can be determined based on the highest point position information and the lowest point position information of the slope area.

[0099] Specifically, the vegetation coverage data in the target data is used to characterize the vegetation coverage of the slope area. The vegetation coverage data is determined according to the following steps: determining the vegetation coverage corresponding to the slope area in the vegetation coverage information; and determining the vegetation coverage data of the slope area according to the vegetation coverage. It can be seen that the server can improve the intelligence and accuracy of data processing by first screening the vegetation coverage within the slope area, and then analyzing and processing the vegetation coverage within the slope area to obtain the vegetation coverage data.

[0100] Specifically, the soil type data in the target data is used to characterize the overall soil type of the slope area, and the soil types include clay, sand, loam, clay mixed with sand, clay mixed with loam, sand mixed with loam, and mixed soil. The soil moisture data is used to characterize the soil moisture level of the slope area. Specifically, the soil type data and soil moisture data can be determined according to the following steps: dividing the target planting area into multiple planting sub-areas according to the plant species information, and each of the planting sub-areas is configured with at least one soil environment monitor, and the soil environment monitor is used to collect the soil information; determining the target soil environment monitor in the slope area; if the number of the target soil environment monitor is one, determining the corresponding type data and moisture data according to the soil information collected by the target soil environment monitor, and determining the type data as the soil type data of the slope area, and determining the moisture data as the soil moisture data of the slope area; if the number of the target soil environment monitor is multiple, determining the corresponding type data and moisture data according to the soil information collected by the multiple target soil environment monitors, and determining the soil type data of the slope area according to all the type data, and determining the average of all the moisture data as the soil moisture data of the slope area.

[0101] Specifically, if there is one target soil environment monitor in the slope area, the type data and humidity data can be directly extracted from the soil information collected by the target soil environment monitor, and the type data can be determined as the soil type data of the slope area, and the humidity data can be determined as the soil humidity data of the slope area. If there are multiple target soil environment monitors in the slope area, the type data (i.e., soil type) and humidity data in the soil information collected by each target soil environment monitor can be extracted. If the type data collected by multiple target soil environment monitors are the same, the type data is determined as the soil type data of the slope area. If the type data collected by multiple target soil environment monitors are different, the soil type data of the slope area is determined according to the specific soil types covered. The soil humidity data of the slope area can be determined according to the average of the humidity data collected by all target soil environment monitors.

[0102] It can be seen that in this example, when the number of target soil environment monitors is one, the type data collected by the target soil environment monitor is determined as soil type data, and the collected humidity data is determined as soil humidity data. And when the number of target soil environment monitors is multiple, the soil type data is determined according to the soil type covered by the type data collected by the target soil environment monitor, and the soil humidity data is determined according to the average of the humidity data collected by all target soil environment monitors. This is conducive to improving the flexibility and accuracy of the server's data processing and improving the reliability of the prediction results.

[0103] In a specific implementation, the target data may also include plant species data and plant growth characteristic data. Among them, the plant species data is used to ensure the plant type of the slope area content. For details, please refer to the determination method of soil type data. Plant growth characteristic data is used to characterize the growth stage of plants, such as seedling stage, growth stage, maturity stage, etc. By inputting plant species data and plant growth characteristic data as target data into the risk prediction model for prediction, the accuracy of the prediction results can be improved.

[0104] It can be seen that in this example, the server predicts the risk prediction value of the slope area through the risk prediction model, and compares the risk prediction value with the risk threshold to determine the high-risk landslide area in the target planting area, which is conducive to improving the intelligence and accuracy of the server's identification of high-risk landslide areas.

[0105] In one possible example, after controlling the smart communication device to display a second interface in response to a second operation performed by the user on the smart communication device, the method further includes: controlling the smart communication device to display a fourth interface in response to a third operation performed by the user on the smart communication device, the fourth interface including a fifth element, and the fifth element is used to display a change graph of the cumulative deformation corresponding to the target positioning tag, and the target high-risk landslide zone is any one of the high-risk landslide zones.

[0106] The third operation refers to an operation in which a user establishes a change trend query item for a target positioning tag through an intelligent communication device. The target positioning tag may be any positioning tag in a high-risk landslide zone.

[0107] In the specific implementation, the target interface of the functional application provided by the smart agricultural monitoring system includes analysis controls. For example, the target interface can be found in Figure 4The second interface shown. After the intelligent communication device detects the user's trigger operation on the target positioning tag, it detects the user's trigger operation on the analysis control, that is, it detects the third operation. At this time, the communication device can establish a change trend query item and send a trend query request to the server. The server can statistically analyze all the cumulative deformations of the positioning tag according to the trend query request, and generate a change graph of the deformation displacement. After the change graph is generated, the server can generate a trend query message according to the change graph, and send the trend query message to the intelligent communication device. The intelligent communication device can display the third interface according to the trend query message. Specifically, the server can add a layer for displaying the change graph on the basis of the second interface to obtain the third interface. At this time, the fifth element can be a pop-up window, such as Figure 7 shown.

[0108] It can be seen that in this example, in response to the third operation performed by the user on the intelligent communication device, the intelligent communication device is controlled to display the fourth interface, so that the function of querying the changing trend of the cumulative deformation amount can be realized, which is beneficial to improving the flexibility and comprehensiveness of the server's data processing and facilitating the user to intuitively understand the changes in the cumulative deformation amount of the positioning tag.

[0109] The electronic device 80 in the present application may be structured as follows: Figure 8 As shown, the electronic device 80 is a computing device, which is a computer or a server, etc., and can be used to execute the above method. Specifically, the electronic device 80 may include a processor 810, a memory 820, a communication interface 830, and one or more programs 821, wherein the one or more programs 821 are stored in the above memory 820 and are configured to be executed by the above processor 810, and the one or more programs 821 include instructions for executing any step in the above method embodiment.

[0110] Wherein, the communication interface 830 is used to support the communication between the electronic device 80 and other devices. The processor 810 can be, for example, a central processing unit (CPU), a general processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can implement or execute various exemplary logic blocks, units and circuits described in conjunction with the disclosure of the embodiments of the present application. The processor can also be a combination that implements a computing function, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0111] The memory 820 may be a volatile memory or a nonvolatile memory, or may include both volatile and nonvolatile memories. Among them, the nonvolatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SynchLink DRAM, SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DR RAM).

[0112] In a specific implementation, the processor 810 is used to execute any step in the above method embodiment, and when performing data transmission such as sending, the communication interface 830 can be selectively called to complete the corresponding operation.

[0113] It should be noted that the structural diagram of the above-mentioned electronic device 80 is only an example, and the specific components included may be more or less, and no sole limitation is made here.

[0114] The present application can divide the functional units of the electronic device according to the above method example. For example, each functional unit can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiments of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0115] Fig. 9 1 is a functional unit block diagram of a first planting information processing device provided in an embodiment of the present application. The first planting information processing device 90 includes:

[0116] A first response unit 910 is used to control the intelligent communication device to display a first interface in response to a first operation performed by a user on the intelligent communication device; the first interface includes a first element and a second element, the first element is used to display a target planting area, and the second element is used to identify a high-risk landslide zone within the target planting area, the high-risk landslide zone is content determined by the server according to planting data of the target planting area, and the planting data includes: slope information, soil type information, plant species information, planting cover information, and soil moisture information;

[0117] A second response unit 920 is used to control the intelligent communication device to display a second interface in response to a second operation performed by the user on the intelligent communication device, wherein the second interface includes the first element, the second element, and a third element, wherein the third element is used to identify a positioning tag in the high-risk landslide zone, and the positioning tag is used to monitor the location data of the high-risk landslide zone;

[0118] The identification unit 930 is used to control the intelligent communication device to display a third interface when a preset event is identified. The third interface includes a fourth element, and the fourth element is used to display landslide risk warning information. The preset event is that the cumulative deformation corresponding to the positioning tag is greater than a preset threshold, and the cumulative deformation is determined according to the location data. The landslide risk warning information is used to prompt the user to detect and reinforce the soil in the high-risk landslide zone monitored by the positioning tag where the preset event occurs.

[0119] In one possible example, in terms of controlling the intelligent communication device to display a third interface when a preset event is identified, the identification unit is specifically used to: obtain position data corresponding to the positioning tag, the position data including mark data and real-time data, the mark data being initial position information collected by the positioning tag, the real-time data being real-time position information periodically collected by the positioning tag, and the position information being used to characterize the three-dimensional coordinate information collected by the positioning tag; subtracting the real-time data from the mark data to obtain the cumulative deformation; comparing the cumulative deformation with the preset threshold; and when the cumulative deformation is greater than the preset threshold, determining that the high-risk landslide zone corresponding to the positioning tag is the target risk landslide zone, and controlling the intelligent communication device to display the third interface.

[0120] In one possible example, in terms of comparing the cumulative deformation amount with the preset threshold, the identification unit is specifically used to: determine the deformation direction according to the cumulative deformation amount; determine the preset threshold according to the deformation direction, the plant species information and the plant growth characteristic information, the plant growth characteristic information being the planting data; compare the cumulative deformation amount and the preset threshold.

[0121] In one possible example, the first planting information processing device also includes a processing unit, which is used to determine the high-risk landslide area. The specific steps are as follows: determine multiple slope areas in the target planting area and the slope value of each slope area according to the slope information; determine the soil type data, vegetation coverage data and soil moisture data corresponding to each slope area according to the soil type information, the vegetation coverage information and the soil moisture information; perform the following steps for each slope area: input the slope value of the slope area and the soil type data, vegetation coverage data and soil moisture data corresponding to the slope area into a risk prediction model to obtain model output data, and the model output data is the risk prediction value of the slope area; compare the risk prediction value with the risk threshold; if the risk prediction value is greater than or equal to the risk threshold, determine that the slope area is the high-risk landslide area; if the risk prediction value is less than the risk threshold, determine that the slope area is a non-high-risk landslide area.

[0122] In one possible example, in terms of determining the soil type data, vegetation coverage data and soil moisture data corresponding to each slope area based on the vegetation coverage information, the soil type information and the soil moisture information, the processing unit is specifically used to: determine the vegetation coverage conditions corresponding to the range of the slope area in the vegetation coverage information; and determine the vegetation coverage degree data of the slope area based on the vegetation coverage conditions.

[0123] In one possible example, in terms of determining the soil type data, vegetation cover data and soil moisture data corresponding to each of the slope areas according to the soil type information, the vegetation cover information and the soil moisture information, the processing unit is specifically further used to: divide the target planting area into multiple planting sub-areas according to the plant species information, and each of the planting sub-areas is configured with at least one soil environment monitor, and the soil environment monitor is used to collect the soil information; determine the target soil environment monitor in the slope area; if the number of the target soil environment monitor is one, determine the corresponding type data and moisture data according to the soil information collected by the target soil environment monitor, and determine the type data as the soil type data of the slope area, and determine the moisture data as the soil moisture data of the slope area; if the number of the target soil environment monitor is multiple, determine the corresponding type data and moisture data according to the soil information collected by the multiple target soil environment monitors, and determine the soil type data of the slope area according to all the type data, and determine the average of all the moisture data as the soil moisture data of the slope area.

[0124] In a possible example, the first planting information processing device also includes a third response unit, and the third response unit is specifically used to control the intelligent communication device to display a fourth interface in response to a third operation of the user on the intelligent communication device, after controlling the intelligent communication device to display a second interface in response to the second operation of the user on the intelligent communication device. The fourth interface includes a fifth element, and the fifth element is used to display a change graph of the cumulative deformation corresponding to the target positioning tag. The target high-risk landslide zone is any one of the high-risk landslide zones.

[0125] In the case of using an integrated unit, the functional unit composition block diagram of the second planting information processing device provided by the embodiment of the present application is as follows: Fig.10 As shown. Fig.10 In the embodiment, the second planting information processing device 100 includes: a processing module 1020 and a communication module 1010. The processing module 1020 is used to control and manage the actions of the first planting information processing device, for example, the steps performed by the first response unit 910, the second response unit 920 and the identification unit 930, and / or other processes for performing the technology described herein. The communication module 1010 is used to support the interaction between the second planting information processing device 100 and other devices. Fig.10 As shown, the second planting information processing device 100 may further include a storage module 1030 , and the storage module 1030 is used to store program codes and data of the second planting information processing device 100 .

[0126] Wherein, the processing module 1020 can be a processor or a controller, for example, a central processing unit (CPU), a general processor, a digital signal processor (DSP), an ASIC, an FPGA or other programmable logic device, a transistor logic device, a hardware component or any combination thereof. It can implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of the embodiments of the present application. The processor can also be a combination that implements a computing function, for example, including a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like. The communication module 1010 can be a transceiver, an RF circuit or a communication interface, and the like. The storage module 1030 can be a memory.

[0127] Among them, all relevant contents of each scenario involved in the above method embodiment can be referred to the functional description of the corresponding functional module, and will not be repeated here. The above first planting information processing device or the second planting information processing device can execute the above Figure 2 The steps performed by the server in the planting information processing method shown.

[0128] An embodiment of the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps of any method recorded in the above method embodiments, and the above computer includes a server.

[0129] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0130] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0131] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the above-mentioned units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0132] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0133] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0134] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the above-mentioned methods of each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

[0135] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by instructing the relevant hardware through a program, and the program may be stored in a computer-readable memory, which may include a flash drive, ROM, RAM, a magnetic disk or an optical disk, etc.

[0136] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A planting information processing method, characterized in that: A server applied to a smart agricultural monitoring system, wherein the smart agricultural monitoring system comprises the server, a positioning tag and an intelligent communication device, wherein the server and the intelligent communication device are in communication connection; the method comprises: In response to a first operation performed by a user on the intelligent communication device, the intelligent communication device is controlled to display a first interface; the first interface includes a first element and a second element, the first element is used to display a target planting area, and the second element is used to identify a high-risk landslide zone within the target planting area, the high-risk landslide zone is content determined by the server according to planting data of the target planting area, and the planting data includes: slope information, soil type information, plant species information, planting cover information and soil moisture information; In response to a second operation performed by a user on the intelligent communication device, controlling the intelligent communication device to display a second interface, wherein the second interface includes the first element, the second element, and a third element, wherein the third element is used to identify a positioning tag within the high-risk landslide zone, and the positioning tag is used to monitor location data of the high-risk landslide zone; When a preset event is identified, the intelligent communication device is controlled to display a third interface, the third interface includes a fourth element, and the fourth element is used to display landslide risk warning information. The preset event is that the cumulative deformation corresponding to the positioning tag is greater than a preset threshold, and the cumulative deformation is determined according to the position data. The landslide risk warning information is used to prompt the user to detect and reinforce the soil in the high-risk landslide area monitored by the positioning tag where the preset event occurs.

2. The method according to claim 1, characterized in that When a preset event is identified, controlling the intelligent communication device to display a third interface includes: Acquire the position data corresponding to the positioning tag, the position data includes marked data and real-time data, the marked data is the initial position information collected by the positioning tag, the real-time data is the real-time position information periodically collected by the positioning tag, and the position information is used to represent the three-dimensional coordinate information collected by the positioning tag; Subtracting the real-time data from the marked data to obtain the accumulated deformation; comparing the accumulated deformation amount with the preset threshold; When the accumulated deformation is greater than the preset threshold, the high-risk landslide zone corresponding to the positioning tag is determined to be the target risk landslide zone, and the intelligent communication device is controlled to display a third interface.

3. The method according to claim 2, characterized in that The comparing the accumulated deformation amount with the preset threshold value includes: determining a deformation direction according to the accumulated deformation amount; Determine the preset threshold value according to the deformation direction, the plant species information and the plant growth characteristic information, wherein the plant growth characteristic information is the planting data; The accumulated deformation amount is compared with the preset threshold.

4. The method according to claim 1, characterized in that The high-risk landslide areas are determined according to the following steps: Determine a plurality of slope areas within the target planting area and a slope value of each of the slope areas according to the slope information; Determine soil type data, vegetation coverage data and soil moisture data corresponding to each slope area according to the soil type information, the vegetation coverage information and the soil moisture information; For each of the slope areas described, perform the following steps: Inputting the slope value of the slope area and soil type data, vegetation coverage data and soil moisture data corresponding to the slope area into a risk prediction model to obtain model output data, wherein the model output data is a risk prediction value of the slope area; comparing the risk prediction value with the risk threshold; If the risk prediction value is greater than or equal to the risk threshold, determining the slope area as the high-risk landslide zone; If the risk prediction value is less than the risk threshold, the slope area is determined to be a non-high-risk landslide zone.

5. The method according to claim 4, characterized in that The determining, according to the vegetation coverage information, the soil type information and the soil moisture information, the soil type data, the vegetation coverage data and the soil moisture data corresponding to each slope area comprises: Determine the vegetation coverage corresponding to the slope area in the vegetation coverage information; The vegetation coverage degree data of the slope area is determined according to the vegetation coverage condition.

6. The method according to claim 4, characterized in that The determining of soil type data, vegetation coverage data and soil moisture data corresponding to each slope area according to the soil type information, the vegetation coverage information and the soil moisture information further includes: Dividing the target planting area into a plurality of planting sub-areas according to the plant species information, each of the planting sub-areas is equipped with at least one soil environment monitor, and the soil environment monitor is used to collect the soil information; determining a target soil environment monitor within the slope area; If the number of the target soil environment monitor is one, the corresponding type data and moisture data are determined according to the soil information collected by the target soil environment monitor, and the type data is determined as the soil type data of the slope area, and the moisture data is determined as the soil moisture data of the slope area; If there are multiple target soil environment monitors, the corresponding type data and humidity data are determined based on the soil information collected by the multiple target soil environment monitors, and the soil type data of the slope area is determined based on all the type data, and the average of all the humidity data is determined as the soil humidity data of the slope area.

7. The method according to claim 1, characterized in that After controlling the intelligent communication device to display the second interface in response to the second operation performed by the user on the intelligent communication device, the method further includes: In response to a third operation performed by the user on the intelligent communication device, the intelligent communication device is controlled to display a fourth interface, the fourth interface includes a fifth element, and the fifth element is used to display a change graph of the cumulative deformation corresponding to the target positioning tag. The target high-risk landslide zone is any one of the high-risk landslide zones.

8. A planting information processing device, characterized in that: A server applied to a smart agriculture monitoring system, wherein the smart agriculture monitoring system comprises the server, a positioning tag and an intelligent communication device, wherein the server is in communication connection with the intelligent communication device; The planting information processing device comprises: A first response unit is used to control the intelligent communication device to display a first interface in response to a first operation performed by a user on the intelligent communication device; the first interface includes a first element and a second element, the first element is used to display a target planting area, and the second element is used to identify a high-risk landslide zone within the target planting area, the high-risk landslide zone is content determined by the server according to planting data of the target planting area, and the planting data includes: slope information, soil type information, plant species information, planting cover information and soil moisture information; A second response unit is used to control the intelligent communication device to display a second interface in response to a second operation performed by the user on the intelligent communication device, wherein the second interface includes the first element, the second element and a third element, wherein the third element is used to identify a positioning tag in the high-risk landslide zone, and the positioning tag is used to monitor the location data of the high-risk landslide zone; An identification unit is used to control the intelligent communication device to display a third interface when a preset event is identified, the third interface includes a fourth element, and the fourth element is used to display landslide risk warning information. The preset event is that the cumulative deformation corresponding to the positioning tag is greater than a preset threshold, and the cumulative deformation is determined according to the position data. The landslide risk warning information is used to prompt the user to detect and reinforce the soil in the high-risk landslide area monitored by the positioning tag where the preset event occurs.

9. An electronic device, characterized in that: The method comprises a processor, a memory, a communication interface and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the programs include instructions for executing the steps in the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program for electronic data exchange is stored, wherein the computer program enables a computer to execute the steps in the method according to any one of claims 1 to 7.

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