Intelligent fertilizing device for trees

Abstract

The invention relates to the technical field of intelligent fertilization, in particular to an intelligent tree fertilization device which comprises a phenology acquisition module, a bin control module, a path recognition module, a film layer response module and a terminal control module. According to the invention, the method comprises the following steps: identifying the intersection and overlapping interval of numerical value change in monitoring data, generating a stage label, constructing a signal chain to drive a structure channel to generate sequential deformation, completing the guiding process of the fertilization path direction, and combining the stage response change caused by the path state in a film layer area. A release path sequence with multiple sections of state identifications is formed, through a linkage control mechanism of a tail end structure, the discharging behavior and the path activation state are kept consistent, path chaos or release lag is avoided, the cooperative process of path recognition, structure response, channel linkage and release execution is completed under multi-parameter dynamic driving, and the release speed is improved. And the matching capability of the fertilization process to environment change, the response capability of periodic change and the consistency of structural action are enhanced.

Description

Technical Field

[0001] This invention relates to the field of intelligent fertilization technology, and in particular to an intelligent fertilization device for trees. Background Technology

[0002] The field of intelligent fertilization technology involves nutrient management methods that control fertilizer application based on changes in the tree's growth cycle. Core aspects include tree phenological stage identification, fertilizer release rate control, selection of burial location, and adjustment of release timing. This technology achieves matching between fertilizer and tree needs at different growth stages by designing controlled-release carriers, formulating fertilization schedules, and adjusting nutrient release mechanisms. Nutrient supply is completed without disturbing the root system structure. It is applicable to various scenarios such as the maintenance of ancient and famous trees and large trees, the protection of ancient trees in gardens, as well as fruit tree cultivation, landscaping, and economic forest management. Traditional tree fertilization devices refer to multiple manual fertilization methods adopted for phenological stages such as spring shoot growth, flower bud differentiation, fruit enlargement, and dormancy recovery of trees. The technical issue it addresses is to supply different types of fertilizers at different times to meet the tree's stage-specific nutrient absorption needs. Traditional methods usually use trench or hole application to manually place solid fertilizers such as compound fertilizers and organic fertilizers into the soil around the roots. Repeated digging is required to complete the fertilization task for multiple growth stages. During the application process, manual tools such as shovels and fertilizer pipes are used to complete the fertilizer burial and covering operations.

[0003] Existing technologies rely on fixed procedures and manual judgment in fertilization operations, making it difficult to synchronously perceive environmental changes and tree conditions. They lack time-series response and path selection mechanisms, and cannot make timely adjustments to address the coordinated changes of multiple factors in different growth cycles. The structural release process lacks state guidance and channel selection capabilities, and the fertilizer delivery path exhibits a static and unchanging pattern. Channel opening and closing control is limited by mechanical means and cannot be linked with external parameters. In dynamic environments, it is prone to problems such as response lag and single release path, resulting in adverse effects such as decreased fertilization accuracy, insufficient structural adaptability, and increased operation frequency. Summary of the Invention

[0004] To address the technical problems existing in the prior art, this invention provides an intelligent tree fertilization device. The technical solution is as follows: On the one hand, a smart tree fertilization device is provided, the device comprising: The phenological acquisition module obtains temperature, humidity and light monitoring data of the area around the roots and trunk of ancient trees, extracts continuous records from the same sensor node, analyzes the time overlap of data change intervals, matches the label mapping table, and obtains phenological stage identification information. Based on the phenological stage identification information, the warehouse control module matches the warehouse number index, parses the panel switch status signal, determines whether to perform automatic warehouse opening operation, outputs the corresponding numbered electric valve trigger command, and obtains the activated warehouse command signal. Based on the activated chamber command signal, the path recognition module locates the pointing channel and identifies the cavity, reads the elastic deformation response state between the core columns, selects the deformation feature cavity as the starting point of the path, analyzes the displacement reaction direction of the release arm, and obtains the path structure guidance direction information. Based on the path structure guidance direction information, the membrane response module enters the membrane structure region, analyzes the sequence of response changes caused by light, humidity and structural load, and assigns values ​​to the path structure segments in sequence to obtain the membrane activation path state sequence. Based on the membrane activation path state sequence, the terminal control module connects to the core detection component and releases the channel when the structure release aperture opens, thus obtaining the open state of the fertilizer controlled release structure.

[0005] As a further aspect of the present invention, the phenological stage identification information includes stage start and end time, numerical change range, and label mapping number; the activated chamber command signal includes chamber number index, automatic chamber opening status, and trigger valve number; the path structure guidance direction information includes channel starting position, structural displacement direction, and adaptation path number; the membrane activation path state sequence includes path structure stage, membrane response status, and channel structure identification; and the fertilizer controlled release structure opening status includes release arm end displacement, release orifice opening status, and channel compression feedback status.

[0006] As a further aspect of the present invention, the label mapping table refers to matching the intersection range of environmental monitoring parameters with tree phenological stage labels to identify the current tree growth stage. The directional channel refers to the path channel located by the activation command signal of the compartment. The channel uses the identification structural nodes and number index as the starting point for fertilizer path identification.

[0007] As a further aspect of the present invention, the membrane structure region refers to the structural block that includes the sensing membrane in the path guidance direction, and the path segment state is assigned a value by analyzing the response changes caused by light, humidity and structural load. The assigned path structure segment status refers to the phased labeling of differentiated path segments within the membrane structure region based on environmental response characteristics.

[0008] As a further aspect of the present invention, the phenological data acquisition module includes: The data extraction submodule acquires temperature, humidity and light monitoring values ​​of the area around the roots and trunk of the ancient tree, extracts the data content continuously transmitted from the same sensor node in the current period, extracts the parameter change sequence according to the timestamp, analyzes the time interval change between adjacent data, removes abnormal interval data segments, and obtains the continuous monitoring time series range. Based on the continuous monitoring time series range, the segment filtering submodule pairs the start and end positions of each data point of light, humidity and temperature on the time axis, compares the time coverage position of the parameters according to the segment range, extracts the segments with synchronous change direction in the parameter value coverage segment, and obtains the three-parameter intersection interval. The label matching submodule extracts the value status of each type of parameter within the current time period based on the intersection interval of the three parameters, compares it with the stage interval sequence of light, humidity and temperature set in the phenological condition label mapping table, and matches it according to the interval where the data value is located to obtain the phenological stage identification information.

[0009] As a further aspect of the present invention, the compartment control module includes: The index matching submodule, based on the phenological stage identification information, calls the corresponding parameter number list in the warehouse structure, locates the matching position in the list according to the identification content, extracts the number index corresponding to the position, removes data items that do not have a number mapping relationship, and arranges the target warehouse numbers in order to obtain the target warehouse index number; Based on the target compartment index number, the pattern recognition submodule extracts the mode switch signal on the control panel, detects the current conduction state and on / off time period, identifies the distribution position of automatic and non-automatic working states in the channel current change segment, determines whether the current state corresponds to the automatic gear setting, and obtains the automatic control activation state. Based on the automatic control activation state, the signal output submodule synchronously matches the corresponding target number signal path, reads the response address of the electrically controlled valve in the main control chip, outputs a status value as the on / off command of the activated signal path, drives the chamber to perform the electric valve on / off action, and obtains the activated chamber command signal.

[0010] As a further aspect of the present invention, the path recognition module includes: Based on the activated chamber command signal, the signal positioning submodule obtains the channel identification cavity number information pointed to by the signal, indexes the corresponding structure in the channel cavity group according to the number order, removes data items with abnormal signal paths and channel numbers not in the index table, analyzes whether the located structural node is in the active link in the current path, and obtains the location of the identification cavity target node. Based on the target node position of the identification cavity, the structural identification submodule extracts the elastic connection component set between the identification cavity and the core column at the position, monitors the deformation amplitude change of the component in the current cycle, identifies nodes with differences in elastic response displacement amplitude, filters target cavities with continuous deformation behavior, and obtains the elastic deformation feature node range. The directional response submodule reads the displacement structure feedback value of the release arm in the corresponding direction based on the release arm number in the elastic deformation feature node interval, extracts the response parameters that are consistent with the direction of structural change and the release path, and obtains the path structure guidance direction information by matching the boundary segment where the path offset structure is located through the angle response distribution range matching the shallow ring layout and surface guidance structure of the ancient tree fertilization path.

[0011] As a further aspect of the present invention, the process of removing data items with abnormal signal paths and channel numbers not in the index table is specifically as follows: the channel identification cavity number information carried in the activated chamber command signal is used to call the preset channel cavity group number index table to match the corresponding relationship. During the comparison process, record items that fail to match the number are removed, and path information with jumps in response time intervals, abnormal signal response times, and incomplete feedback content is simultaneously excluded. The process of identifying the elastic connection components set between the cavity and the core column at the extraction position is as follows: within the area corresponding to the target node position of the cavity, the node structure information of the connection components is retrieved, the components that form a flexible connection with the core column are analyzed, and the connection form is judged to have elastic response characteristics by the displacement change trend and contact point distribution characteristics, and component nodes that have no direct connection path with the core column and do not show deformation behavior in the current cycle are eliminated. The process of combining the shallow ring layout of the ancient tree fertilization path with the surface guidance structure, and matching the boundary segment of the path offset structure by the angle response distribution range, specifically involves: extracting the angle parameters corresponding to the displacement change from the displacement feedback value of the release arm during the directional response process, establishing the offset relationship between the angle change and the release path direction, and identifying the boundary segment of the path offset structure based on the order of the boundary segment position in the angle distribution.

[0012] As a further aspect of the present invention, the film response module includes: Based on the path structure guidance direction information, the path verification submodule identifies the membrane structure number in the channel, extracts the membrane structure with the same number as the guidance channel, analyzes the positional relationship of the membrane nodes in the path direction, and removes the membrane numbers in non-target segments through positional continuity to obtain the path-related membrane number set. The state extraction submodule collects light intensity, humidity ratio and structural load data of nodes based on the path-associated membrane layer number set, extracts the data change sequence of the corresponding nodes according to the order of the numbers, analyzes the relationship between the data change magnitude and time, and obtains the response sequence characteristics of the membrane layer nodes. The stage judgment submodule calls the response sequence characteristics of the membrane node, compares the order of changes in light, humidity and load, analyzes the state changes of the membrane surface at different time nodes, and determines the current response stage of the structural channel based on the start and end time periods of the membrane node response, thus obtaining the membrane activation path state sequence.

[0013] As a further aspect of the present invention, the terminal control module includes: The end-positioning submodule verifies the path extension direction and the connection position of the release arm based on the activation path state sequence of the membrane layer, locates the end region of the release arm, connects to the core detection component through the structural interface, and determines the corresponding sequence of the structure based on the position of the sensing contact point to obtain the connection position information of the end of the release arm. The structure driving submodule calls the end connection position information of the release arm, monitors the structural response change of the release arm when the membrane is activated, identifies the displacement trend in the stretching direction, determines whether the displacement range exceeds the initial boundary, verifies that the release aperture is in the open state, and obtains the displacement state of the end structure. Based on the displacement state of the end structure, the channel response submodule collects the feedback signal state inside the channel, determines whether there is a compression response in the path, removes the positions with abnormal feedback, performs a discharge action on the path without feedback signal, and obtains the opening state of the fertilizer controlled release structure.

[0014] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In this invention, by identifying overlapping intervals of numerical changes in monitoring data and generating stage labels, a signal chain is constructed to drive the sequential deformation of the structural channel, completing the guidance process of the fertilization path direction. Combined with the staged response changes caused by the path state in the membrane region, a release path sequence with multiple state identifiers is formed. Through the linkage control mechanism of the end structure, the discharge behavior is kept consistent with the path activation state, avoiding path confusion or release lag. Under the dynamic drive of multiple parameters, the coordinated process of path identification, structural response, channel linkage and release execution is completed, enhancing the fertilization process's ability to match environmental changes, its responsiveness to periodic changes and the consistency of structural actions. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart of the apparatus of the present invention; Figure 2 This is a block diagram of the device of the present invention; Figure 3 This is a flowchart of the phenological data acquisition module in this invention; Figure 4 This is a flowchart of the warehouse control module in this invention; Figure 5 This is a flowchart of the path recognition module in this invention; Figure 6 This is a flowchart of the membrane response module in this invention; Figure 7 This is a flowchart of the terminal control module in this invention. Detailed Implementation

[0017] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0018] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0019] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0020] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0021] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0022] This invention provides an intelligent tree fertilization device, such as... Figure 1-2 The diagram shown illustrates a smart tree fertilization device, which includes: The phenological acquisition module acquires temperature, humidity and light monitoring data of the root zone and the area around the trunk of ancient trees, extracts continuous records of the same sensor node in the current period, compares the time series positions of multiple sets of sensor values ​​and segments the range of numerical changes, identifies whether there is any overlap in the time of occurrence of the numerical change interval, calls the preset phenological condition label mapping table to perform stage matching, and obtains phenological stage identification information. Based on the phenological stage identification information, the warehouse control module matches the number index value within the warehouse structure to determine the status of the control panel mode switch signal. By analyzing the status switching value, it determines whether to execute the automatic warehouse opening operation and controls the main control chip to output the trigger command of the corresponding numbered electric control valve, thus obtaining the activated warehouse command signal. The path recognition module locates the channel recognition cavity based on the activated chamber command signal, obtains the elastic deformation response state between the recognition cavity and the core column, selects the recognition cavity with deformation characteristics as the path starting point, analyzes the structural displacement response direction of the position circumferential release arm, and combines the shallow ring layout and surface guidance structure of the ancient tree fertilization path to obtain the path structure guidance direction information by analyzing the channel adaptation path through displacement response characteristics. The membrane response module determines the activation state of the membrane structure corresponding to the path under the current environmental conditions based on the path structure guidance direction information, analyzes the response sequence changes of the membrane surface under the action of light, humidity and structural load, determines the response stages formed by the membrane layer in the path in turn, marks the structural channel state of each stage, and obtains the membrane activation path state sequence. The terminal control module locates the end structure of the release arm connected to the corresponding path based on the membrane activation path state sequence, connects to the end core detection component, and drives the end structure to produce tensile displacement changes through membrane activation, so that the structure release port is in an open state, which is suitable for shallow layout in the ancient tree root area and surface release structure form. When no compression feedback signal appears inside the channel, the release channel discharges material, and the fertilizer controlled release structure is in an open state.

[0023] The phenological stage identification information includes the stage start and end time, the range of numerical change, and the label mapping number. The activated chamber command signal includes the chamber number index, automatic opening status, and trigger valve number. The path structure guidance direction information includes the channel start position, the structural displacement direction, and the matching path number. The membrane activation path state sequence includes the path structure stage, the membrane response status, and the channel structure identification. The fertilizer controlled release structure opening status includes the displacement of the release arm end, the opening status of the release orifice, and the channel compression feedback status.

[0024] Specifically, such as Figure 2 ,3 As shown, the phenological data acquisition module includes: The data extraction submodule acquires temperature, humidity and light monitoring values ​​of the area around the roots and trunk of the ancient tree, extracts the data content continuously transmitted from the same sensor node in the current period, extracts the parameter change sequence according to the timestamp, analyzes the time interval change between adjacent data, removes abnormal interval data segments, and obtains the continuous monitoring time series range. Temperature, humidity, and light intensity values ​​were acquired from the area surrounding the roots and trunk of the ancient tree. Sensor nodes were deployed at three different locations: 50cm from the base of the trunk, 1.5m above the trunk, and at the edge of the canopy projection. Temperature, humidity, and light intensity values ​​were collected at each location, and the monitoring point number and data collection cycle number were recorded. A data transmission time threshold of 10 seconds was set within the sampling period. Data sets continuously uploaded by a single sensor node within this time threshold were selected. Each data item in the data set was arranged sequentially according to the sampling cycle number. The collection order and corresponding timestamp of each data item were extracted. The sampling interval for continuous data was obtained by calculating the time difference between two adjacent items in the sampling cycle number. If the interval was less than 3 seconds or greater than 15 seconds, it was considered an interval discrepancy. For normal data, such data segments are removed from the set using numbered tags. The remaining data set is then sorted by round numbering to determine the starting and ending number ranges of the data sequence after removal. The data time periods corresponding to these number ranges are used as the continuous monitoring time series range. For example, for sensor node number 102, 60 sets of data were uploaded in one sampling period. The interval between sets 12 and 13 is 17 seconds, the interval between sets 34 and 35 is 2 seconds, and the interval between sets 41 and the next three sets is 16 seconds. Therefore, sets 13, 35, and sets 41 to 44 are marked as abnormal segments and removed. Finally, the effective data segments of sensor node number 102 in this period are the data time periods corresponding to numbers 1 to 12, 14 to 34, and 36 to 40, thus obtaining the continuous monitoring time series range.

[0025] The segment filtering submodule is based on the continuous monitoring time series range. It pairs the start and end positions of each data point of light, humidity and temperature on the time axis, compares the time coverage position of the parameters according to the segment range, and extracts the segments with synchronous change direction in the parameter value coverage segment to obtain the three-parameter intersection interval. First, the monitoring data for each set of light, humidity, and temperature are matched with their start and end positions according to their corresponding timestamps to obtain the complete coverage segment of each monitoring parameter on the time axis. By arranging the data records of each parameter sequentially according to the sampling round number, the time labels of the first and last sets of data for each parameter are marked, thus forming the time coverage range of the three parameters of light, humidity, and temperature. The time segments of the above three parameters are cross-compared pairwise. Based on the intersection of the time segments of each pair of parameters, the overlapping segment of the three parameters on the time axis is identified as the candidate region. For example, if the start time of the light data is 30 seconds and the end time is 150 seconds, the coverage range of the humidity data is 40 seconds to 160 seconds, and the range of the temperature data is 50 seconds to 140 seconds, then the intersection time segment of the three is 50 seconds to 140 seconds. Then, the data of each monitoring node within this segment is read in chronological order to construct the change of the three parameter values ​​per unit time. The trend is determined by calculating the difference between each pair of consecutive monitoring values ​​to determine the direction of change for each parameter. If, in two adjacent sets of values, the light intensity changes from 135 lx to 142 lx, the humidity decreases from 72.6% to 71.4%, and the temperature increases from 23.1°C to 23.9°C, then the light intensity and temperature change in the same direction, while the humidity change in the opposite direction. This set of data is then excluded, and the monitoring continues. If, in the next set of values, all three parameters show an increasing trend (i.e., light intensity increases from 142 lx to 148 lx, humidity increases from 71.4% to 73.2%, and temperature increases from 23.9°C to 24.5°C), then this set of data changes in the same direction, and the corresponding time period is recorded as a synchronous segment. Within the entire three-parameter convergence interval, the time periods that meet the condition of three consecutive parameters showing the same direction of change are selected as the set of synchronous change segments, ultimately yielding the three-parameter convergence interval.

[0026] The label matching submodule extracts the value status of each type of parameter within the current time period based on the intersection interval of the three parameters, compares it with the stage interval sequence of light, humidity and temperature set in the phenological condition label mapping table, and matches it according to the interval where the data value is located to obtain the phenological stage identification information. First, all observed values ​​of the three parameters—light intensity, humidity, and temperature—within the specified time interval are extracted. Each data set is then mapped one-to-one with its timestamp and corresponding sampling number. The data values ​​are read synchronously using the round number and intersection interval, and stored according to parameter type. Next, each data point is compared with the intervals defined in the phenological condition label mapping table based on its position within the parameter setting range. For example, the light intensity parameter range is divided into 0–100 lx for weak light, 101–300 lx for medium light, and 301–600 lx for strong light; the humidity parameter is divided into 0%–40% for dry, 41%–70% for moderate, and 71%–100% for humid; and the temperature parameter is divided into 0°C–15°C for low temperature, 16°C–28°C for suitable temperature, and 29°C–40°C for high temperature. When a data set is obtained with a light intensity value of 284 lx and a humidity value of 69.2%,... When the temperature is 26.4°C, the group is determined to be a match of three states: moderate light, moderate humidity, and suitable temperature, based on the range of parameter values. Then, the preset phenological stage condition combination information in the phenological condition label mapping table is read. The interval numbers of light, humidity, and temperature in each combination entry are logically matched. The above-mentioned moderate light, moderate, and suitable temperature combinations are compared with the combination conditions in the mapping table in turn. If there is a completely consistent combination label number, the phenological stage identifier corresponding to the number is used as the phenological state identifier information for that time period. For example, if the combination corresponding to number S5 in the mapping table is "moderate light + moderate + suitable temperature", then the phenological identifier of this data segment is recorded as S5. The same matching process is continued for each other group of data in the intersection interval. The label information of each group of data is summarized to form a phenological identifier sequence for subsequent stage evolution analysis, and finally the phenological stage identifier information is obtained.

[0027] Specifically, such as Figure 2 , 4 As shown, the compartment control module includes: The index matching submodule, based on the phenological stage identification information, calls the corresponding parameter number list in the warehouse structure, locates the matching position in the list according to the identification content, extracts the number index corresponding to the position, removes data items that do not have a number mapping relationship, and arranges the target warehouse numbers in order to obtain the target warehouse index number. First, based on each phenological stage identifier data obtained in the previous processing step, the parameter number list stored in the preset chamber structure is called. This number list uses the phenological identifier number as the index key to establish a one-to-one mapping relationship between each stage label and the chamber number. For example, if phenological stages S3, S4, and S5 are set to correspond to chamber numbers C07, C08, and C09 respectively, then when the phenological identifier of a data point is S4, its corresponding mapped chamber number is extracted as C08. Subsequently, all phenological identifiers are read one by one in chronological order and compared with the mapping relationship in the chamber number list. If the current phenological identifier number does not have a corresponding chamber record in the mapping table, the data is marked as invalid and removed from the subsequent processing flow. For example, if a record has a phenological identifier of S6, but the mapping table only defines the matching relationship from S1 to S5, then this record has no number mapping relationship. After the elimination process, all records with clear corresponding cell number relationships are retained. The cell numbers are extracted and arranged according to the time sequence of the original phenological identifiers to form the target cell number sequence. The index number list is then constructed based on this sequence, and a unique identifier index number is assigned to each cell number. For example, C07 corresponds to index number 001, C08 to 002, and C09 to 003. Finally, the target cell index number sequence to which all valid data belongs is output. For example, in a set of continuous observations, the phenological stage sequence is S3, S4, S5, S6, S3, and the corresponding matching cell numbers are C07, C08, C09, none, and C07. After eliminating the fourth invalid item S6, the resulting cell number sequence is C07, C08, C09, C07, and the corresponding index numbers are 001, 002, 003, and 001. The target cell index number is then obtained.

[0028] The pattern recognition submodule extracts the mode switch signal on the control panel based on the target compartment index number, detects the current conduction state and on / off time period, identifies the distribution position of automatic and non-automatic working states in the channel current change segment, determines whether the current state corresponds to the automatic gear setting, and obtains the automatic control activation state. First, the physical channel information corresponding to each target compartment number is read. The switch signal data set recorded on the control panel is retrieved through a number mapping table, and the conduction status identifier of each control point is extracted. The conduction status is defined by high and low voltage levels; for example, a voltage greater than 3.3V indicates conduction, and less than 0.5V indicates disconnection. The start and end round numbers of each conduction and disconnection interval are recorded, forming a set of on / off time periods. For example, if the period from round number 102 to 109 is continuously at a high level, it is recorded as a complete conduction interval. The channel current monitoring value sequence is then read, and the current value under each round number is mapped to the switch status. For example, the current values ​​in the intervals from number 102 to 109 are 1.6A, 1.6A, 1.8A, 2.0A, 2.0A, 1.9A, and 1. 7A, 1.6A. Next, it is determined whether this range matches the preset current range of the automatic mode. The automatic mode is set to a current between 1.5A and 2.2A. If all current values ​​in the segment are within this range, the current conducting segment is marked as automatic working state. If a value exceeds the range, it is judged as non-automatic working state. The comparison continues with other segments. For example, in rounds 110 to 115, the current values ​​are 2.3A, 2.1A, 2.0A, 1.8A, 2.4A, and 2.2A. Among them, 2.3A and 2.4A exceed the automatic mode setting range, and the state of this segment is judged as non-automatic. In this way, a matching record of conducting and non-conducting segments is built in the complete monitoring round, and the working mode state corresponding to each channel current is marked. Finally, the output is whether each conducting state corresponds to the automatic mode setting, and the automatic control activation state is obtained.

[0029] The signal output submodule is based on the automatic control activation state, synchronously matches the corresponding target number signal path, reads the response address of the electric valve in the main control chip, outputs the status value as the on / off command of the activated signal path, drives the chamber to perform the electric valve on action, and obtains the activated chamber command signal; First, all control channel records marked as active in the previous stage's judgment results are read. The target compartment numbers corresponding to each active state are traversed one by one, and their signal path numbers in the control signal mapping table are extracted. The corresponding signal path is then called in the signal path table using the target compartment number as the key. For example, if the target compartment number is C08 and its signal path number is P06, it is determined that the active state will transmit control signals through the P06 path. Next, the electronic valve response address mapping table set in the main control chip is called according to the signal path number. Using the path number P06 as the main control address A17, the current status value at that address in the main control chip's control word register is extracted. The current status value is judged: if the current value is 0, it represents disconnection; if the current value is 1, it represents conduction. The on / off state is determined based on the active state judgment result. If the current state is 0 and the active state is yes, the output state of the address is set to 1, and a conduction command is sent to the channel to drive the electrically controlled valve connected to that address from the closed state to the open state. At the same time, the target number, signal path, master control address, and conduction command information of this round of control execution are recorded. For example, in a certain round of control, the compartment numbered C08 is marked as active, corresponding to signal path P06 and master control address A17. If the current address value is determined to be 0, the output state of A17 is set to 1, and the electrically controlled valve corresponding to C08 is driven to perform the connection action. After this operation is completed, the execution command information is recorded as C08-P06-A17-1. The next active state target number is read and the process is repeated until the command issuance process for all active state target compartments is completed, and the activated compartment command signal is obtained.

[0030] Specifically, such as Figure 2 , 5 As shown, the path recognition module includes: The signal positioning submodule obtains the channel identification cavity number information pointed to by the activated chamber command signal, indexes the corresponding structure in the channel cavity group according to the number order, removes data items with abnormal signal paths and channel numbers not in the index table, analyzes whether the located structural node is in the active link in the current path, and obtains the location of the identification cavity target node. First, the control path information carried in each activated signal is read. The channel identification number pointed to by the control path field is extracted, and the corresponding cavity number information in the preset channel structure index table is called according to the number. For example, if the signal path is P06 and the corresponding identification number is T12, the cavity number connected to T12 is obtained by looking up the table as K34. K34 is recorded as the target cavity node number pointed to by the current path. The process continues to poll all activated signals to extract the list of cavity numbers under all target paths, and sort them by index in ascending order to form a positioning sequence set. In this set, each number is checked to see if there is a signal path abnormality mark field or a path number not registered status. If an abnormality is found, the record is removed from the sequence. If a path P08 has a corresponding number T17 that is not registered in the index table, or if the path status is marked as abnormal with more than 3 records of frequent connection / disconnection, then the corresponding K number is removed from the set, and the normal path item is retained for further processing. The structural node number is read one by one in the location set and matched to see if the activation flag field already exists in the current path record. It is determined whether the structural node is in an activated link. For example, if node K34 has an activation flag of 1 in the control signal of path T12, then this node is determined to be an active node in the current path, and the next node is processed. If K35 has no active record, then this node is skipped. All cavity node numbers with activation flags are extracted and their position information in the sequence set is recorded, and finally the location of the target cavity node is obtained.

[0031] The structural recognition submodule is based on the target node position of the cavity, extracts the elastic connection components set between the cavity and the core column at the position, monitors the deformation amplitude change of the components in the current cycle, identifies nodes with differences in elastic response displacement amplitude, filters target cavities with continuous deformation behavior, and obtains the elastic deformation feature node range. First, for each identified target cavity node, its structural configuration record table is read. Using the node number as an index, the type and installation parameters of the elastic connection components between the lower part of the cavity structure and the central core column are extracted. Within that structural segment, the strain monitoring module is invoked to obtain the deformation data record set of the connection components in the current detection cycle. Using the cycle number as an index, the component length change at each time node is read. The difference between the initial unloaded length of each elastic connection and the current cycle sampling length is calculated, and this difference is taken as the actual deformation amplitude for that cycle. For example, the static length of the elastic component at cavity K34 is 85.0 mm. The monitored lengths in cycles 110 to 130 are 86.3 mm, 86.7 mm, 87.2 mm, 86.9 mm, and 87.5 mm, respectively, and the corresponding deformation amplitudes are calculated to be 1.3 mm, 1.7 mm, and 2.2 mm. The values ​​are 1.9mm, 2.5mm, and the average deformation amplitude of the component in the historical period is read. If the historical average value is 1.6mm, the difference between the deformation value of each group in the current period and the baseline value is compared. If the difference is greater than 1.0mm in any round, it is recorded as an abnormal elastic response. The node number with abnormal difference records is selected and the continuity of its deformation amplitude change trend is judged. If the relative baseline difference exceeds the set threshold in three or more consecutive rounds, for example, the difference in rounds 112, 113, and 114 is +0.6mm, +1.1mm, and +0.8mm, then the node is marked as having continuous deformation behavior and added to the abnormal deformation candidate node set. The round position of each node in the set is numbered and aligned, and the start and end number segments of the elastic deformation feature node are recorded to finally obtain the elastic deformation feature node interval.

[0032] The directional response submodule reads the displacement structure feedback value of the release arm in the corresponding direction based on the release arm number in the elastic deformation feature node interval, extracts the response parameters that are consistent with the direction of structural change and the release path, and combines the shallow ring layout and surface guidance structure of the ancient tree fertilization path to obtain the path structure guidance direction information by matching the boundary segment where the path offset structure is located through the angle response distribution range. First, the structural unit number associated with each identified feature node is extracted, and the release arm number connected to it is obtained from the number mapping table. Then, the structural feedback value recorded by the release arm within the set monitoring period is extracted according to the number index. This feedback value is measured by a displacement sensing element to measure the actual displacement generated in a specific direction, and the value is arranged sequentially by the cycle number to form a response curve sequence. For example, the displacement values ​​recorded by release arm R12 within the cycle are 2.6mm, 2.9mm, 3.4mm, and 3.8mm. The angle between the release arm movement direction angle marked in the direction recording field and the structural direction line is read to determine whether the direction of structural change is consistent with the direction of the channel release path. If the angle does not exceed ±15 degrees, it is determined that the direction of structural change is consistent with the path direction, and the displacement feedback value of the release arm is recorded as a valid response parameter. The same processing is continued for the release arm numbers corresponding to all elastic feature nodes to form a sequence. The effective response parameter set, combined with the shallow ring layout structure characteristics of the ancient tree fertilization path, reads the layout outline information of the ring path in the plane projection, and obtains the angular coordinate range of the path distribution segment where the current structure response is located. For example, if the release arm is located outside the ring path with a radius of 120cm centered on the ancient tree trunk and the angle direction is between 135 degrees and 145 degrees, it is classified into the boundary path segment of the southeast of the second quadrant. The guide channel structure number configured for each path segment in the surface guide structure record table is read, and it is matched whether the response angle range of the release arm is within the boundary of the channel. If the response angle of the release arm is between the path offset segments defined by the structure numbers E07 to E09, the structure direction to which it belongs is marked as the "E07-E09 segment" directional guide path. All release arms with effective response parameters are classified and integrated according to the angle segment number, and finally the path structure guide direction information corresponding to each feature node is determined.

[0033] Specifically, such as Figure 2 , 6 As shown, the membrane response module includes: The path verification submodule identifies the membrane structure number in the channel based on the path structure guidance direction information, extracts the membrane structure with the same number as the guidance channel, analyzes the positional relationship of the membrane node in the path direction, and removes the membrane number in non-target segments through positional continuity to obtain the path-related membrane number set. First, extract the structural guidance number field corresponding to each path from the marked direction information. Read the channel information registered in the path guidance record table, locate the channel area number corresponding to the guidance direction, and then traverse the internal structure list of the channel to identify the membrane structure node number registered in the channel area with that number. For example, if the guidance direction record is E07-E09, then extract the membrane structure numbers recorded in the number segment as M12, M13, M14, M17, and M18. Read the guidance mark field of each number in this number sequence in the guidance direction structure table, and filter out the membrane structure numbers marked as "guidance consistent". For example, M12, M13, and M17 are marked as having consistent direction, so these three items are extracted to form the initial membrane structure set. Continue to read its structural position coordinate information, analyze its actual arrangement direction under the path direction vector, and extract the center coordinate value of each membrane structure node. Using the centerline of the guiding direction as a reference, the projected coordinate values ​​of each node on the guiding direction axis are calculated. The coordinate values ​​are arranged in ascending order to form a sequence of membrane structures along the continuous path. The difference in projected coordinates in the sequence is used to detect continuity. The continuity judgment threshold is set to a distance of less than 15cm between adjacent projection points. If the distance between two numbers exceeds this threshold, it is judged as a non-continuous node. For example, the projection distance between M12 and M13 is 11cm, and the distance between M13 and M17 is 33cm. Therefore, M17 is identified as a non-continuous node and removed from the sequence. Finally, M12 and M13 are retained as membrane numbers that meet the continuity judgment. The structure numbers are checked again to see if they are located in the same guiding segment interval in the channel structure record table. It is confirmed that numbers M12 and M13 both belong to the E07-E08 channel segment. These two items are then combined into a path-associated membrane number set, and the path-associated membrane number set is finally obtained.

[0034] The state extraction submodule collects light intensity, humidity ratio and structural load data of nodes based on the path-associated membrane layer number set, extracts the data change sequence of the corresponding nodes according to the order of the numbers, analyzes the relationship between the data change magnitude and time, and obtains the response sequence characteristics of the membrane layer nodes. First, the structural location index table information of each node in the numbered set is read to obtain its deployment order and sorted in ascending order. Then, according to the sorting order, the three data points of light intensity, humidity ratio, and structural load of each node in the current monitoring cycle are read one by one, and the corresponding timestamp and cycle number are extracted to construct a multi-parameter synchronous data matrix. For example, the cycle numbers corresponding to M12, M13, and M14 are 205, 206, and 207, respectively. The three types of monitoring data under each cycle are read and combined into a triplet of (lx value, % humidity, kg load), where M12 corresponds to (235lx, 68.1%, 9.3kg), M13 to (251lx, 69.4%, 9.7kg), and M14 to (263lx, 70.6%, 10.2kg). Next, the direction of data change corresponding to the numbering order is analyzed, and the adjacent differences of each type of parameter are calculated according to the numbering sequence. For example, between M12 and M13, the light intensity increases by 16lx, and the humidity increases by 1.3. The structural load increased by 0.4 kg. The three changes from M13 to M14 were calculated to determine whether they showed a continuous increasing or decreasing trend. The numbered segments with a unidirectional continuous change trend were marked as stable response sequence segments. Combined with the time interval information of the round number, the actual time span in each stable segment was extracted. For example, the round number interval from M12 to M14 is 2, the sampling interval is 5 seconds, and the data change time span of this sequence segment is determined to be 10 seconds. The change amplitude is further analyzed to see if it exceeds the set response threshold. For example, if the set significant response threshold for light change is 10 lx, humidity is 1.0%, and load is 0.3 kg, then each parameter in the segment from M12 to M14 exceeds the response threshold. This numbered segment is determined to be a significant response sequence, marked as a response segment, and the change direction vector is recorded. Finally, the segments in all numbered intervals that meet the conditions of continuous numbering, unidirectional parameter change, and change amplitude reaching the set response amount are marked and extracted to obtain the response sequence characteristics of the membrane node.

[0035] The stage judgment submodule calls the response sequence characteristics of the membrane node, compares the order of changes in light, humidity and load, analyzes the state changes of the membrane surface at different time nodes, and determines the current response stage of the structural channel based on the start and end time of the membrane node response, thus obtaining the membrane activation path state sequence. First, read the response sequence records for each group, which consist of node numbers. Extract the order in which the three monitored parameters—illuminance, humidity, and structural load—change on the time axis. Sort them according to the round number where each parameter first reaches a significant change threshold. For example, in a certain node sequence, the illuminance value increases by more than 15 lx in round 214, the humidity change exceeds the set proportion of 1.2% in round 216, and the structural load increases by 0.5 kg in round 218. Then, record the response start rounds for the three types of parameters as 214, 216, and 218, respectively. Use this order to determine the start path sequence of the membrane surface response. Continue to extract the duration of change for each type of parameter, calculate the sampling time span between the start and end numbers of its response interval, and store it according to parameter type. By comparing the start time and response duration of different parameters... Construct a set of response stage vectors for the current node. For example, if the light change interval is from cycle 214 to 221, the humidity is from 216 to 223, and the structural load is from 218 to 226, then the overall response segment is from 214 to 226. Sort the vectors according to the starting point of the different parameter changes, and record light as the first response factor, humidity as the second, and load as the third. Compare the response vectors of different nodes side by side, extract the sequences with the same starting order, and count their number distribution. When three or more consecutive nodes show the response sequence of light → humidity → load, the response stage of the current path segment is determined to be "sequential progressive". If there is a node sequence in which the load response precedes the light and humidity, it is identified as "structural burst". Summarize and label the number of each type of response stage according to the path number to obtain the membrane activation path state sequence.

[0036] Specifically, such as Figure 2 , 7 As shown, the terminal control module includes: The end-positioning submodule verifies the path extension direction and the connection position of the release arm based on the membrane activation path state sequence, locates the end region of the release arm, connects to the core detection component through the structural interface, and determines the corresponding sequence of the structure based on the position of the sensing contact point to obtain the connection position information of the end of the release arm. First, read the structural direction number and its termination position identifier corresponding to each segment in the generated path state sequence. Based on the termination number, query the extension trend line segment of the path direction. Call the path structure direction record table to extract the structural line segment vector parameters corresponding to the extension direction. Then, obtain the release arm number information connected to the path segment according to the path number and structure mapping table. For example, if path number P13 corresponds to release arm R07, extract R07 as the current target. Further locate the structural installation information field of the release arm and extract its end area identifier. Call the structural component layout table through the release arm number, retrieve the physical contact end number recorded in the end connection position field, and combine it with the installation orientation record field to determine if its pointing angle is consistent with the path direction line vector. If the angle is less than 15 degrees, then... The path extension is connected to the release arm area, and then connected to the main structure through the structural node interface. A core detection component is embedded at the end interface of the release arm. Several position sensing contacts are arranged in the component. The sensing contacts are arranged linearly and equidistantly on the interface surface of the release arm end connection. Each contact number is uniquely mapped to the structural sequence. The activation status of each contact is read to determine whether a physical contact signal or a structural deformation response signal is received. For example, if contacts numbered CT4, CT5, and CT6 are activated, the corresponding structural sequences are E17, E18, and E19. Then, the current structural number of the contact area at the end of the release arm is recorded as E17 to E19. The structural sequence information is matched and confirmed with the end segment number in the release arm structural configuration table to finally obtain the connection position information of the end of the release arm.

[0037] The structure-driven submodule calls the end connection position information of the release arm, monitors the structural response change of the release arm when the membrane is activated, identifies the displacement trend in the stretching direction, determines whether the displacement range exceeds the initial boundary, verifies that the release aperture is in the open state, and obtains the displacement state of the end structure. First, extract the structural layout parameters of the release arm corresponding to each end connection number, and read its preset static boundary position range recorded value. For example, for a release arm end number E19, its initial boundary displacement range is set to ±2.5mm. Then, read the real-time displacement monitoring data of the release arm structure during the membrane activation period, extract and sort the structural response displacement values ​​corresponding to each round number, and generate a displacement change sequence. For example, the displacement values ​​recorded for number E19 in activation cycle rounds 220 to 230 are 2.4mm, 2.7mm, 3.1mm, 3.5mm, 3.7mm, etc. After extracting the maximum and minimum values ​​in this sequence, calculate the displacement change amplitude, and obtain the maximum deformation difference as 1.3mm. Further determine whether this maximum value exceeds the initially set boundary. If the maximum displacement value is 3.7mm, exceeding the upper boundary by 2.5mm, then record that the release arm is in the "displacement over-limit" state. Read the displacement vector components in the stretching direction, extract the displacement projection value of the release arm on the main direction axis, and determine whether it continues to increase. If the projection values ​​are 2.4mm, 2.9mm, and 3.4mm in three consecutive rounds, the displacement trend in the stretching direction is recorded as positive growth. Continue to verify whether this trend is consistent with the release direction of the release arm structure. Read the direction field of the structural component and compare the angle with the displacement projection direction. If the angle is less than 10 degrees, it is considered that the direction is consistent, and the direction is recorded as "effective stretching". Then, combined with the structural opening and closing indicator at the release port position, read the opening and closing monitoring value at the release port at the end of the release arm. If the opening and closing value of the release port under round number 230 is recorded as "open", it is consistent with the displacement over-limit state. Finally, by combining the structural end number, direction trend, boundary judgment and opening and closing state, a complete displacement state record of the current end structure is formed, and the displacement state of the end structure is finally obtained.

[0038] The channel response submodule collects feedback signal status inside the channel based on the displacement state of the end structure, determines whether there is compression response in the path, removes abnormal feedback locations, performs discharge action on paths without feedback signals, and obtains the opening status of the fertilizer controlled release structure. First, read the end connection number of each marked "displacement exceeding limit" state and obtain its corresponding channel structure number. Index the channel feedback signal table using the structure number to extract the feedback signal record value of that channel segment within the current monitoring cycle. Read the feedback status identifier field for each round and parse the compression response signal bits. For example, in rounds 240 to 250, the feedback signal record for channel number T09 is 1100100011, where the 3rd and 6th bits are compression flags. Therefore, rounds 242 and 245 are marked as having compression responses. Record the response status for this path segment and continue analyzing whether there are discontinuous fluctuations in the feedback signal sequence. If the compression flag appears in three or more consecutive rounds, it is marked as "continuous compression"; otherwise, it is "instantaneous compression." For example, if only rounds 242 and 245 have compression responses, it is considered an instantaneous state and does not affect the controlled release action. Determine whether there are any feedback anomalies in the feedback record and read the channel... If the structural anomaly status flag field is marked as "signal fluctuation anomaly" or "data missing", the data item corresponding to the channel number is removed and marked as an anomaly feedback source. For example, if the feedback record of channel T11 is missing in rounds 248 and 249, the segment is removed from the path processing flow. Continue to judge whether the feedback signal in the path without abnormal feedback is all in a non-response state. If the feedback bit is 0 for five consecutive rounds, the path is determined to be in a non-feedback state. For example, if the feedback signal of channel T13 is 00000 in rounds 240 to 244, the path is recorded as a "feedback failure segment". For all "feedback failure segments", the discharge control actuator is called to send the discharge command to the corresponding structural path, activate the controlled release module drive unit to start the fertilizer release device action, and record the path number, execution time and discharge duration fields of the executed action. This information is bound to the channel structure record table to form a controlled release execution record set to obtain the fertilizer controlled release structure opening status.

[0039] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A smart tree fertilization device, characterized in that, The device includes: The phenological acquisition module acquires temperature, humidity and light monitoring data of the area around the roots and trunk of ancient trees, extracts continuous records from the same sensor node, analyzes the time overlap of data change intervals, matches the label mapping table, and obtains phenological stage identification information. Based on the phenological stage identification information, the warehouse control module matches the warehouse number index, parses the panel switch status signal, determines whether to perform automatic warehouse opening operation, outputs the corresponding numbered electric valve trigger command, and obtains the activated warehouse command signal. Based on the activated chamber command signal, the path recognition module locates the pointing channel and identifies the cavity, reads the elastic deformation response state between the core columns, selects the deformation feature cavity as the starting point of the path, analyzes the displacement reaction direction of the release arm, and obtains the path structure guidance direction information. Based on the path structure guidance direction information, the membrane response module enters the membrane structure region, analyzes the sequence of response changes caused by light, humidity and structural load, and assigns values ​​to the path structure segments in sequence to obtain the membrane activation path state sequence. Based on the membrane activation path state sequence, the terminal control module connects to the core detection component and releases the channel when the structure release aperture opens, thus obtaining the open state of the fertilizer controlled release structure.

2. The intelligent tree fertilization device according to claim 1, characterized in that: The phenological stage identification information includes the stage start and end time, the range of numerical change, and the label mapping number. The activated chamber command signal includes the chamber number index, automatic opening status, and trigger valve number. The path structure guidance direction information includes the channel starting position, the structural displacement direction, and the adaptation path number. The membrane activation path state sequence includes the path structure stage, the membrane response status, and the channel structure identifier. The fertilizer controlled release structure opening status includes the displacement of the release arm end, the opening status of the release orifice, and the channel compression feedback status.

3. The intelligent tree fertilization device according to claim 1, characterized in that, The label mapping table refers to matching the intersection range of environmental monitoring parameters with tree phenological stage labels to identify the current tree growth stage; The directional channel refers to the path channel located by the activation command signal of the compartment. The channel uses the identification structural nodes and number index as the starting point for fertilizer path identification.

4. The intelligent tree fertilization device according to claim 1, characterized in that, The membrane structure region refers to the structural block that includes the sensing membrane in the path guidance direction. By analyzing the response changes caused by light, humidity and structural load, the state of the path segment is assigned a value. The assigned path structure segment status refers to the phased labeling of differentiated path segments within the membrane structure region based on environmental response characteristics.

5. The intelligent tree fertilization device according to claim 1, characterized in that, The phenology data acquisition module includes: The data extraction submodule acquires temperature, humidity and light monitoring values ​​of the area around the roots and trunk of the ancient tree, extracts the data content continuously transmitted from the same sensor node in the current period, extracts the parameter change sequence according to the timestamp, analyzes the time interval change between adjacent data, removes abnormal interval data segments, and obtains the continuous monitoring time series range. Based on the continuous monitoring time series range, the segment filtering submodule pairs the start and end positions of each data point of light, humidity and temperature on the time axis, compares the time coverage position of the parameters according to the segment range, and extracts the segments with synchronous change direction in the parameter value coverage segment to obtain the three-parameter intersection interval. The label matching submodule extracts the value status corresponding to each type of parameter within the current time period based on the intersection interval of the three parameters, compares it with the stage interval sequence of light, humidity and temperature set in the phenological condition label mapping table, and matches it according to the interval where the data value is located to obtain the phenological stage identification information.

6. The intelligent tree fertilization device according to claim 1, characterized in that, The compartment control module includes: The index matching submodule, based on the phenological stage identification information, calls the corresponding parameter number list in the warehouse structure, locates the matching position in the list according to the identification content, extracts the number index corresponding to the position, removes data items that do not have a number mapping relationship, and arranges the target warehouse numbers in order to obtain the target warehouse index number; Based on the target compartment index number, the pattern recognition submodule extracts the mode switch signal on the control panel, detects the current conduction state and on / off time period, identifies the distribution position of automatic and non-automatic working states in the channel current change segment, determines whether the current state corresponds to the automatic gear setting, and obtains the automatic control activation state. Based on the automatic control activation state, the signal output submodule synchronously matches the corresponding target number signal path, reads the response address of the electrically controlled valve in the main control chip, outputs a status value as the on / off command of the activated signal path, drives the chamber to perform the electric valve on / off action, and obtains the activated chamber command signal.

7. The intelligent tree fertilization device according to claim 1, characterized in that, The path recognition module includes: Based on the activated chamber command signal, the signal positioning submodule obtains the channel identification cavity number information pointed to by the signal, indexes the corresponding structure in the channel cavity group according to the number order, removes data items with abnormal signal paths and channel numbers not in the index table, analyzes whether the located structural node is in the active link in the current path, and obtains the location of the identification cavity target node. Based on the target node position of the identification cavity, the structural identification submodule extracts the elastic connection component set between the identification cavity and the core column at the position, monitors the deformation amplitude change of the component in the current cycle, identifies nodes with differences in elastic response displacement amplitude, filters target cavities with continuous deformation behavior, and obtains the elastic deformation feature node range. The directional response submodule reads the displacement structure feedback value of the release arm in the corresponding direction based on the release arm number in the elastic deformation feature node interval, extracts the response parameters that are consistent with the direction of structural change and the release path, and obtains the path structure guidance direction information by matching the boundary segment where the path offset structure is located through the angle response distribution range matching the shallow ring layout and surface guidance structure of the ancient tree fertilization path.

8. The intelligent tree fertilization device according to claim 7, characterized in that, The process of removing abnormal signal paths and data items whose channel numbers are not in the index table is as follows: the channel identification cavity number information carried in the activated chamber command signal is used to call the preset channel cavity group number index table to match the corresponding relationship. During the comparison process, record items that fail to match the number are removed, and path information with jumps in response time intervals, abnormal signal response times, and incomplete feedback content is simultaneously excluded. The process of identifying the elastic connection components set between the cavity and the core column at the extraction position is as follows: within the area corresponding to the target node position of the cavity, the node structure information of the connection components is retrieved, the components that form a flexible connection with the core column are analyzed, and the connection form is judged to have elastic response characteristics by the displacement change trend and contact point distribution characteristics, and component nodes that have no direct connection path with the core column and do not show deformation behavior in the current cycle are eliminated. The process of combining the shallow ring layout of the ancient tree fertilization path with the surface guidance structure, and matching the boundary segment of the path offset structure by the angle response distribution range, specifically involves: extracting the angle parameters corresponding to the displacement change from the displacement feedback value of the release arm during the directional response process, establishing the offset relationship between the angle change and the release path direction, and identifying the boundary segment of the path offset structure based on the order of the boundary segment position in the angle distribution.

9. The intelligent tree fertilization device according to claim 1, characterized in that, The membrane response module includes: Based on the path structure guidance direction information, the path verification submodule identifies the membrane structure number in the channel, extracts the membrane structure with the same number as the guidance channel, analyzes the positional relationship of the membrane nodes in the path direction, and removes the membrane numbers in non-target segments through positional continuity to obtain the path-related membrane number set. The state extraction submodule collects light intensity, humidity ratio and structural load data of nodes based on the path-associated membrane layer number set, extracts the data change sequence of the corresponding nodes according to the order of the numbers, analyzes the relationship between the data change magnitude and time, and obtains the response sequence characteristics of the membrane layer nodes. The stage judgment submodule calls the response sequence characteristics of the membrane node, compares the order of changes in light, humidity and load, analyzes the state changes of the membrane surface at different time nodes, and determines the current response stage of the structural channel based on the start and end time periods of the membrane node response, thus obtaining the membrane activation path state sequence.

10. The intelligent tree fertilization device according to claim 1, characterized in that, The terminal control module includes: The end-positioning submodule verifies the path extension direction and the connection position of the release arm based on the activation path state sequence of the membrane layer, locates the end region of the release arm, connects to the core detection component through the structural interface, and determines the corresponding sequence of the structure based on the position of the sensing contact point to obtain the connection position information of the end of the release arm. The structure driving submodule calls the end connection position information of the release arm, monitors the structural response change of the release arm when the membrane is activated, identifies the displacement trend in the stretching direction, determines whether the displacement range exceeds the initial boundary, verifies that the release aperture is in the open state, and obtains the displacement state of the end structure. Based on the displacement state of the end structure, the channel response submodule collects the feedback signal state inside the channel, determines whether there is a compression response in the path, removes the positions with abnormal feedback, performs a discharge action on the path without feedback signal, and obtains the opening state of the fertilizer controlled release structure.

Images