A health monitoring system and monitoring method for ancient tree maintenance

Abstract

The present application discloses a health monitoring system and a monitoring method for ancient tree maintenance, which belongs to the field of forest health monitoring, and includes a controller, a runoff monitoring module, a temperature monitoring module and an illuminance monitoring module, wherein the runoff monitoring module, the temperature monitoring module and the illuminance monitoring module are electrically connected to the controller respectively; the present application also discloses a corresponding monitoring method, which first performs a health check on the ancient tree to be monitored; then calculates the historical temperature parameters, illuminance parameters and the historical runoff parameters of the planting environment of the ancient tree to be monitored in the past natural year, and establishes a health assessment model, and then obtains the monitoring temperature parameters, the monitoring illuminance parameters and the monitoring runoff parameters of the ancient tree to be monitored, and finally imports the monitoring temperature parameters, the monitoring illuminance parameters and the monitoring runoff parameters into the health assessment model to output the health assessment results; the present application improves the monitoring effect by comprehensively monitoring the transpiration of the ancient trees, thereby quickly predicting the health status of the ancient trees.

Description

Technical Field

[0001] The present application relates to the technical field of forestry equipment, and in particular to a health monitoring system and a monitoring method for ancient tree maintenance. Background Art

[0002] Ancient trees are trees that have grown for hundreds or even thousands of years. Once they die, they cannot be reproduced. Protecting ancient trees is to protect a high-quality germplasm gene bank and to preserve a precious ancient historical relic. Investigations have found that the existing ancient trees are mostly surrounded by artificial cypress and pure forests, which have high canopy density and poor permeability, making them prone to outbreaks of forest pests and diseases. In addition, the construction of towns, roads, and temples has encroached on the native habitat of ancient trees, which has had a serious impact on the growth and protection of ancient trees, causing some ancient trees to decline in growth or even die. In view of the severe living conditions and existing problems of ancient trees, it is urgent to scientifically rejuvenate ancient trees and prevent and control ancient tree pests and diseases.

[0003] At present, in the field of ancient tree health monitoring, ultrasonic detection is mostly used to monitor whether ancient trees have hollows, and then infer the health status of the ancient trees based on the hollows. However, the above monitoring methods not only have cumbersome equipment arrangements, but also the formation and changes of ancient tree hollows require a long time to have obvious changes. The monitoring cycle is long and is not suitable for real-time monitoring. Finally, the health status of the ancient trees has deteriorated for a long time before the hollowness of the ancient trees changes, and their monitoring parameters cannot be used for health monitoring and early warning. Summary of the invention

[0004] The main purpose of the present application is to provide a health monitoring system and a monitoring method for ancient tree maintenance, aiming to solve the defect of the prior art that the health status of ancient trees cannot be monitored in real time; by using a health monitoring system and a monitoring method for ancient tree maintenance of the present application, the effect of ancient tree health monitoring can be effectively improved.

[0005] This application achieves the above objectives through the following technical solutions:

[0006] A health monitoring system for ancient tree maintenance includes a controller;

[0007] A runoff monitoring module, wherein the runoff sensor is electrically connected to an input terminal of the controller;

[0008] A temperature monitoring module, the temperature monitoring module is electrically connected to an input end of the controller;

[0009] A light intensity monitoring module is electrically connected to an input end of the controller.

[0010] Optionally, the controller includes a model generation module, wherein the model generation module is used to establish a health assessment model according to the collected temperature parameters, illumination parameters and runoff parameters;

[0011] A data acquisition module, wherein the data acquisition module is used to obtain the monitoring temperature parameters, the monitoring light intensity parameters and the monitoring runoff parameters of the ancient trees to be monitored in real time;

[0012] A calculation module is used to import the monitoring temperature parameter, the monitoring light intensity parameter and the monitoring runoff parameter into the health assessment model to output the health assessment result.

[0013] Optionally, the health monitoring system further includes a wind speed monitoring module, and the wind speed monitoring module is electrically connected to the controller.

[0014] Accordingly, the present application also discloses a monitoring method based on the above health monitoring system, comprising the following steps:

[0015] Conduct health assessment on the ancient trees to be monitored. If the health assessment of the ancient trees to be monitored is qualified, proceed to the next step. Otherwise, the ancient trees to be monitored are determined to be unsuitable for health monitoring.

[0016] Calculate the historical temperature parameters, historical illumination parameters of the planting environment of the monitored ancient trees in the past natural year and the historical runoff parameters of the monitored ancient trees;

[0017] Establishing a health assessment model based on the historical temperature parameter, the historical illumination parameter and the historical runoff parameter;

[0018] Obtain the monitoring temperature parameters, monitoring light intensity parameters and monitoring runoff parameters of the ancient trees to be monitored in real time;

[0019] The monitored temperature parameter, the monitored light intensity parameter and the monitored runoff parameter are imported into the health assessment model to output the health assessment result.

[0020] Optionally, calculating the historical temperature parameters, historical illumination parameters and historical runoff parameters of the ancient tree planting environment to be monitored within a natural year, includes the following steps:

[0021] Obtain the runoff parameters, temperature parameters and light intensity parameters of the ancient trees to be monitored within one natural year;

[0022] The historical runoff parameters are calculated according to the runoff parameters, the historical temperature parameters are calculated according to the temperature parameters, and the historical illuminance parameters are calculated according to the illuminance parameters.

[0023] Optionally, calculating the historical runoff parameter according to the runoff parameter, calculating the historical temperature parameter according to the temperature parameter, and calculating the historical illuminance parameter according to the illuminance parameter comprises the following steps:

[0024] According to the sampling time, the runoff parameters belonging to the same day were grouped together;

[0025] Calculate the average value of each runoff parameter of the same group, and bind the average value with the sampling time as the historical runoff parameter Q' t , where t represents the number of sampling time;

[0026] According to the sampling time, the temperature parameters belonging to the same day are grouped together;

[0027] Calculate the average value of each temperature parameter of the same group, and bind the average value with the sampling time as the historical temperature parameter T' t , where t represents the number of sampling time;

[0028] According to the sampling time, the illumination parameters belonging to the same day are grouped together;

[0029] Calculate the average value of each illumination parameter of the same group, and bind the average value with the sampling time as the historical illumination parameter E' t , where t represents the number of sampling time;

[0030] Repeat the step of grouping the runoff parameters belonging to the same day into one group according to the sampling time until all historical runoff parameters, historical temperature parameters, and historical illumination parameters are obtained.

[0031] Optionally, establishing a health assessment model according to the historical temperature parameter, the historical illumination parameter and the historical runoff parameter comprises the following steps:

[0032] Obtain historical runoff parameters, historical temperature parameters and historical illumination parameters;

[0033] The historical runoff parameter Q' at the same sampling time t , historical temperature parameter T' t and historical illumination parameter E' t Collect and establish standard parameter elements (T' t , E' t , Q' t );

[0034] Collect all standard parameter elements into the same set to construct a standard parameter set {(T' t , E' t , Q' t ), (T'2, E'2, Q'2),..., (T' t , E' t , Q' t ),...,(T' n , E' n , Q' n )}; where n represents the number of standard parameter elements, t represents the number of sampling time, and t≤n;

[0035] Establishing three-dimensional coordinates, marking each standard parameter element in the standard parameter set into the three-dimensional coordinates, and obtaining a three-dimensional scatter plot; wherein each axis of the three-dimensional coordinates represents a runoff parameter, a temperature parameter, and an illumination parameter, respectively;

[0036] The three-dimensional scatter plot is fitted to obtain a standard parameter distribution surface, and the standard parameter distribution surface is used as a health assessment model.

[0037] Optionally, obtaining the monitoring temperature parameters, monitoring light intensity parameters and monitoring runoff parameters of the ancient tree to be monitored in real time includes the following steps:

[0038] Obtain all temperature parameters, illumination parameters and runoff parameters collected in one day;

[0039] Calculate the average value of all temperature parameters and use it as the monitoring temperature parameter T t ;

[0040] Calculate the average value of all illumination parameters and use it as the monitoring illumination parameter E t ;

[0041] Calculate the average value of all runoff parameters and use it as the monitoring runoff parameter Q t .

[0042] Optionally, the monitoring temperature parameter, the monitoring light intensity parameter and the monitoring runoff parameter are imported into the health assessment model to output the health assessment result, including the following steps:

[0043] In combination with the sampling time, the monitoring temperature parameter and the monitoring light intensity parameter are input into the health assessment model to calculate the comparison runoff parameter Q0;

[0044] Setting error redundancy, and determining whether the monitored runoff parameter is qualified by combining the error redundancy and comparing the runoff parameter;

[0045] Count the number of unqualified monitored runoff parameters and output the evaluation results based on the health judgment conditions.

[0046] Optionally, the formula for determining whether the monitored runoff parameters are qualified is: , where a represents the error redundancy, Q t represents the monitored runoff parameter, t represents the sampling time number; Q0 represents the comparative runoff parameter;

[0047] The health judgment condition is that if the cumulative number of monitored runoff parameters is unqualified or the number of consecutive monitored runoff parameters is unqualified, the health condition is judged to be unqualified, otherwise the health condition is output to be qualified.

[0048] Compared with the prior art, this application has the following beneficial effects:

[0049] The present application includes a controller, a runoff monitoring module, a temperature monitoring module and an illuminance monitoring module, wherein the runoff monitoring module, the temperature monitoring module and the illuminance monitoring module are electrically connected to the controller respectively; accordingly, the present application also discloses a monitoring method based on the above monitoring system, wherein the health of the ancient tree to be monitored is firstly detected to determine whether it can be subjected to health monitoring; then the historical temperature parameters, the historical illuminance parameters and the historical runoff parameters of the ancient tree to be monitored in the past natural year of the planting environment of the ancient tree to be monitored are calculated, and a health assessment model is established according to the above parameters, and then the monitoring temperature parameters, the monitoring illuminance parameters and the monitoring runoff parameters of the ancient tree to be monitored in real time are obtained, and finally the monitoring temperature parameters, the monitoring illuminance parameters and the monitoring runoff parameters are imported into the health assessment model to output the health assessment result;

[0050] Ambient temperature and light intensity have an important influence on the transpiration of trees. That is, under certain temperature and light intensity conditions, the runoff flow parameters generated by the transpiration of healthy old trees fluctuate within a limited range. When old trees become diseased, the runoff flow generated by transpiration will deviate from the normal range. By monitoring the runoff flow, the health status of old trees can be monitored.

[0051] Secondly, since trees cannot move, the temperature and light intensity parameters of their environment are in regular changes in a natural year, that is, with a natural year as a cycle, the environment of the ancient trees and the transpiration of the ancient trees are in regular changes. This application can establish a health assessment model that reflects the above-mentioned change rules by processing historical data, and then substitute the relevant parameters detected in real time into the above-mentioned health assessment model to determine whether the runoff parameters are within the normal range, and finally determine the health status of the ancient trees;

[0052] Compared with the prior art, the technical solution described in the present application directly monitors the runoff flow of the ancient trees, rather than sampling the water evaporation of some leaves or other indicators. On the one hand, it can monitor the health status of the ancient trees in a more macroscopic dimension, avoid the influence of the unhealthy state of a single leaf on the judgment of the state of the ancient tree, and improve the accuracy of the judgment; on the other hand, the runoff flow is directly collected, which not only makes the equipment simpler and more convenient to operate, but also, after the equipment is installed in place, there is no need to move the sampling equipment between different collection points, and the workload of data collection is smaller, which is conducive to improving work efficiency;

[0053] Secondly, compared with the traditional ultrasonic monitoring of the hollows of ancient trees, the runoff parameters caused by changes in transpiration change more rapidly, so it can ensure that relevant indicators are monitored at the first time of health deterioration. At the same time, compared with the changes in the hollow area, the changes in runoff parameters are more obvious, and the detection accuracy requirements of the equipment are lower. It can not only reduce the difficulty of health monitoring, but also effectively reduce misjudgment and improve the effect of health monitoring of ancient trees;

[0054] Finally, this application cleverly utilizes the synchronization between the regular changes in the environmental parameters of ancient trees and the runoff flow, thereby using historical data as a reference to effectively ensure the accuracy of data analysis and output results. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 A structural schematic diagram of a health monitoring system for ancient tree maintenance provided in Implementation Example 1 of the present application;

[0056] Figure 2 It is the structure diagram of the controller;

[0057] Figure 3 This is a flow chart of the health monitoring method for ancient tree maintenance disclosed in Implementation 2;

[0058] Figure numerals: 1-controller, 2-runoff monitoring module, 3-temperature monitoring module, 4-illuminance monitoring module, 5-wind speed monitoring module, 101-model generation module, 102-data acquisition module, 103-calculation module.

[0059] The purpose, features and advantages of this application will be further described in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0062] In the present invention, unless otherwise clearly specified and limited, the terms "connection", "fixation", etc. should be understood in a broad sense. For example, "fixation" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0063] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the meaning of "and / or" appearing in the full text includes three parallel schemes. Taking "A and / or B" as an example, it includes scheme A, or scheme B, or a scheme that satisfies both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0064] Implementation method 1: Refer to the attached specification Figure 1 and 2 This embodiment is an optional embodiment of the present application, which discloses a health monitoring system for ancient tree maintenance, including a controller 1, a runoff monitoring module 2, a temperature monitoring module 3 and a light intensity monitoring module 4;

[0065] The runoff monitoring module 2 includes a plurality of runoff sensors, each of which is electrically connected to the controller 1, and the parameters collected by each of the runoff sensors are directly transmitted to the data acquisition module 102; preferably, the number of the runoff sensors is 3-6;

[0066] The temperature monitoring module 3 includes a plurality of temperature sensors, each of which is electrically connected to an input end of the controller 1; preferably, the number of the temperature sensors is 1-3;

[0067] The light intensity monitoring module 4 includes a plurality of light intensity sensors, each of which is electrically connected to an input end of the controller 1 ; preferably, the number of the light intensity sensors is 1-3.

[0068] It should be pointed out that the runoff sensors are evenly arranged around the axis of the main trunk of the ancient tree. At the same time, the runoff sensors need to be staggered in the height direction to improve the diversity of sampling data. At the same time, staggering the runoff sensors can avoid the runoff sensors from repeatedly detecting the conduits in the same area of ​​the ancient tree, which is conducive to improving the accuracy and reliability of health monitoring.

[0069] The temperature sensors and light intensity sensors are arranged in a number of open areas respectively, and the arrangement areas of the temperature sensors and light intensity sensors are evenly arranged around the axis of the ancient tree;

[0070] The above arrangement can avoid shadow areas or building shielding areas, thereby more comprehensively reflecting the ambient temperature and ambient light intensity of the area where the ancient trees are located, and improving the accuracy of the monitoring data;

[0071] At the same time, each sensor cannot be moved after installation to control the variables in the entire monitoring process, ensure the continuity and correlation between the monitoring data in different time periods, and improve the monitoring effect.

[0072] The controller 1 includes a model generation module 101, a data acquisition module 102 and a calculation module 103; the model generation module 101 is used to establish a health assessment model according to the collected temperature parameters, light intensity parameters and runoff parameters; the data acquisition module 102 is used to obtain the monitoring temperature parameters, monitoring light intensity parameters and monitoring runoff parameters of the monitored ancient trees in real time; the calculation module 103 is used to import the monitoring temperature parameters, monitoring light intensity parameters and monitoring runoff parameters into the health assessment model to output the health assessment results;

[0073] It should be noted that the controller 1 can be integrated into one piece in terms of hardware, or it can be split into two parts. When split into two parts, the controller 1 includes a first terminal and a second terminal, wherein the first terminal needs to be equipped with a wireless communication module, and the data acquisition module 102 is integrated with the wireless communication module; the second terminal integrates the model generation module 101 and the calculation module 103. Preferably, the second terminal includes a server and a control computer, and data upload between the first terminal and the second terminal is realized through the Internet or other communication networks;

[0074] By splitting the above hardware, the health monitoring system can be networked, thereby realizing the synchronous monitoring of multiple ancient trees, which can not only effectively improve the monitoring efficiency, but also help to reduce equipment costs; and because the parameters of different ancient trees are centralized, the database capacity is larger, and the data between different ancient trees can also be mutually referenced and analyzed, which is conducive to improving the accuracy of monitoring data analysis;

[0075] The health monitoring system further includes a wind speed monitoring module 5, which is a wind speed detection device in the prior art, and the wind speed monitoring module 5 is electrically connected to the controller 1;

[0076] When in use, the wind speed monitoring module 5 also needs to be set in an open area, and its position cannot be moved after installation; the wind speed monitoring module 5 measures the wind speed of the environment where the ancient tree is located;

[0077] In actual operation, a wind speed threshold is set in the data acquisition module 102 of the controller 1. When the detected wind speed is higher than the wind speed threshold, it is determined that the external wind speed is too high and the weather is in a state of drastic changes, which affects the accuracy of the data. All parameters collected in the subsequent period are invalid parameters. When the wind speed drops below the wind speed threshold again, the data is determined to be valid and sampling is resumed.

[0078] Through the above wind speed determination, some parameters under extreme climate conditions can be deleted, thereby avoiding the impact of extreme weather on the accuracy of monitoring data and ensuring the accuracy and reliability of the data;

[0079] It should also be pointed out that a rainfall sensor can be added, and a rainfall threshold can also be set. When the parameter of the rainfall sensor is higher than the rainfall threshold, it is determined to be in extreme climate, and the sampling data is invalid at this time.

[0080] Implementation 2: This implementation is another optional implementation of the present application, which discloses a monitoring method of the health monitoring system for ancient tree maintenance based on Implementation 1, comprising the following steps:

[0081] S1. Conduct health assessment on the ancient trees to be monitored. If the health assessment of the ancient trees to be monitored is qualified, proceed to the next step. Otherwise, the ancient trees to be monitored are determined to be unsuitable for health monitoring.

[0082] Comprehensively evaluate the health status of ancient trees through wood detectors, ultrasonic detection equipment and other devices to determine whether the ancient trees to be tested are in a healthy state;

[0083] If the health status of the ancient tree to be tested is determined to be qualified, proceed to the next step;

[0084] If it is judged to be unqualified, the monitored ancient tree is deemed unsuitable for health monitoring and the monitoring ends;

[0085] Through the above-mentioned prior judgment, on the one hand, a preliminary judgment on the health status of the ancient trees can be formed, and on the other hand, the accuracy of subsequent sampling can be guaranteed, thereby ensuring the accuracy of the construction of the health assessment model and improving the stability and reliability of ancient tree health monitoring.

[0086] S2. Calculate the historical temperature parameters, historical illumination parameters of the planting environment of the monitored ancient trees in the past natural year and the historical runoff parameters of the monitored ancient trees;

[0087] S21. Obtaining the runoff parameters, temperature parameters and light intensity parameters of the monitored ancient trees within one natural year;

[0088] Retrieve the runoff parameters, temperature parameters and light intensity parameters of the monitored ancient trees in the past natural year from the database;

[0089] It should be noted that the above parameters can be the relevant parameters of the first year after the equipment is installed, or the parameters obtained by other monitoring means;

[0090] At the same time, the sampling period of all data is preferably one natural year, but can also be one month or one week;

[0091] The parameters of a complete natural year include all the parameters of the four seasons of spring, summer, autumn and winter, that is, they fully reflect all the climatic parameters of the environment in which the ancient trees are located. They can effectively improve the accuracy of the comparison, and thus improve the accuracy and reliability of health monitoring.

[0092] S22. Calculate historical runoff parameters according to the runoff parameters, calculate historical temperature parameters according to the temperature parameters, and calculate historical illuminance parameters according to the illuminance parameters.

[0093] S221, according to the sampling time, the runoff parameters belonging to the same day are grouped together;

[0094] Since the runoff sensor, temperature sensor and light intensity sensor all obtain sampling data at a certain time interval, that is, they will obtain several parameters in one day;

[0095] Before calculating the parameters, each runoff parameter is numbered according to the time sequence, such as the parameters obtained on January 1 are all numbered 1, all the parameters obtained on January 2 are numbered 2, and so on; it should be pointed out that other methods can also be used to number the parameters;

[0096] All runoff parameters under the same number are grouped together;

[0097] S222, calculating the average value of each of the runoff parameters in the same group, and binding the average value with the sampling time as the historical runoff parameter Q' t , where t represents the number of the sampling time, that is, according to the aforementioned numbering method, t is one of 1-365;

[0098] S223, according to the sampling time, grouping the temperature parameters belonging to the same day into one group;

[0099] Each temperature parameter is numbered using the same method as in step S221, and the temperature parameters belonging to the same day are grouped together;

[0100] S224, calculating the average value of each temperature parameter of the same group, and binding the average value with the sampling time as the historical temperature parameter T' t , where t represents the number of sampling time;

[0101] S225, grouping the illumination parameters belonging to the same day into one group according to the sampling time;

[0102] The same method as in step S221 is used to number each illuminance parameter, and the illuminance parameters belonging to the same day are grouped together;

[0103] S226, calculating the average value of each illumination parameter of the same group, and binding the average value with the sampling time as the historical illumination parameter E' t , where t represents the number of sampling time;

[0104] S227. Repeat the step of grouping the runoff parameters belonging to the same day into one group according to the sampling time until all historical runoff parameters, historical temperature parameters, and historical illumination parameters are obtained.

[0105] Repeat the above steps to obtain all historical runoff parameters {Q'1, Q'2, ..., Q' 365}, historical temperature parameters {T'1, T'2, ..., T' 365} and historical illumination parameters {E'1, E'2, ..., E' 365};

[0106] It should be pointed out that the illumination parameter at night is zero or slightly higher than zero. At this time, the illumination parameters at night are selected in combination with the sampling time, and all the above parameters are deleted. At the same time, all temperature parameters and runoff parameters are deleted at the same time.

[0107] The transpiration at night is lower than that during the day. At the same time, due to the lack of light, the above parameters lack reference. At the same time, the temperature difference between day and night is large. If the night parameters are not excluded, they will eventually lower the average value. The above technical measures can exclude the night parameters with lower reference, which is conducive to improving the accuracy of the parameters.

[0108] S3, establishing a health assessment model according to the historical temperature parameter, the historical illumination parameter and the historical runoff parameter;

[0109] S31, obtaining historical runoff parameters, historical temperature parameters and historical illumination parameters;

[0110] Get the historical runoff parameters {Q'1, Q'2, ..., Q' 365}, historical temperature parameters {T'1, T'2, ..., T' 365} and historical illumination parameters {E'1, E'2, ..., E' 365};

[0111] S32, the historical runoff parameter Q' at the same sampling time t , historical temperature parameter T' t and historical illumination parameter E' t Collect and establish standard parameter elements (Q' t , T' t , E' t );

[0112] Based on the principle of the same sampling time number, the historical runoff parameter Q' at the same sampling time is t , historical temperature parameter T' t and historical illumination parameter E' t Collect and establish standard parameter elements (T' t , E' t , Q' t );

[0113] S33, grouping each standard parameter element into the same set to construct a standard parameter set {(T' t , E' t , Q' t ), (T'2, E'2, Q'2),..., (T' t , E' t , Q' t ),...,(T' n , E' n , Q' n )}; where n represents the number of standard parameter elements, t represents the number of sampling time, and t≤n;

[0114] Further, the standard parameter set is split into a first standard parameter set and a second standard parameter set according to different seasons;

[0115] Specifically, the standard parameter elements with sampling time in spring, summer and winter are grouped into the same set to establish a first standard parameter set; wherein the spring is March to May of the Gregorian calendar, the summer is June to August of the Gregorian calendar, and the winter is December to February of the Gregorian calendar;

[0116] The standard parameter elements with sampling time in summer, autumn and winter are grouped into the same set to establish a first standard parameter set; wherein the summer is from June to August of the Gregorian calendar, the autumn is from September to November of the Gregorian calendar, and the winter is from December to February of the Gregorian calendar;

[0117] It should be pointed out that the standard parameter set can also be split into four different standard parameter sets according to different seasons, and the subsequent steps can be adjusted accordingly, which is conducive to further improving the accuracy and reliability of monitoring.

[0118] S34, establishing three-dimensional coordinates, marking each standard parameter element in the standard parameter set into the three-dimensional coordinates, and obtaining a three-dimensional scatter plot; wherein each axis of the three-dimensional coordinates represents a runoff parameter, a temperature parameter, and an illumination parameter, respectively;

[0119] A three-dimensional coordinate is constructed in a computer fitting calculation software, wherein the axes of the three-dimensional coordinate represent the runoff parameter, the temperature parameter and the illuminance parameter respectively, specifically, the X axis represents the temperature parameter, the Y axis represents the illuminance parameter, and the Z axis represents the runoff parameter;

[0120] The standard parameter set {(T' t , E' t , Q' t ), (T'2, E'2, Q'2),..., (T' t , E' t , Q' t ),...,(T' n , E' n , Q' n )} into the three-dimensional coordinates to obtain a three-dimensional scatter plot;

[0121] Further, if the standard parameter set is split into a first standard parameter set and a second standard parameter set, two identical three-dimensional coordinates need to be established, and then each element in the first standard parameter set is marked in one of the three-dimensional coordinates to obtain a first three-dimensional scatter plot;

[0122] Marking each element in the second standard parameter set into another three-dimensional coordinate to obtain a second three-dimensional scatter plot;

[0123] S35, fitting the three-dimensional scatter plot to obtain a standard parameter distribution surface, and using the standard parameter distribution surface as a health assessment model.

[0124] Further, if the first standard parameter set and the second standard parameter set are generated, a fitting calculation is performed on the first three-dimensional scatter plot to obtain a first standard parameter distribution surface;

[0125] The second three-dimensional scatter plot is fitted to calculate a second standard parameter distribution surface, and the first standard parameter distribution surface and the second standard parameter distribution surface are used as health assessment models.

[0126] Since the temperature and light conditions in spring and autumn are similar, but the physiological states of trees are completely different, the above technical measures can separate the spring and autumn parameters, and establish the corresponding first standard parameter distribution surface and second standard parameter distribution surface respectively. When conducting real-time monitoring, the comparative analysis results will be more accurate, thereby achieving a more precise analysis of the data and improving the accuracy of monitoring;

[0127] S4. Obtaining the monitoring temperature parameters, monitoring light intensity parameters and monitoring runoff parameters of the ancient trees to be monitored in real time;

[0128] S41, obtaining all temperature parameters, illumination parameters and runoff parameters collected in one day;

[0129] Control the temperature sensor to collect the temperature parameters of the environment where the ancient tree is located at a certain time interval (such as 30 minutes), control the light intensity sensor to collect the light intensity parameters of the environment where the ancient tree is located at the same time interval; control the runoff sensor to collect the runoff parameters of the ancient tree at the same time interval;

[0130] S42, calculate the average value of all temperature parameters and use it as the monitoring temperature parameter T t ;

[0131] S43, calculate the average value of all illumination parameters and use it as the monitoring illumination parameter E t ;

[0132] S44. Calculate the average value of all runoff parameters and use it as the monitoring runoff parameter Q t ;

[0133] It should be pointed out that when the illumination parameter is zero or slightly higher than zero, and combined with the sampling time, it is determined to be a night parameter, all parameters collected during this period are deleted;

[0134] At the same time, the data from the light intensity sensor can be used as a control benchmark to control the entire equipment to shut down at night.

[0135] S5. Import the monitored temperature parameter, the monitored light intensity parameter and the monitored runoff parameter into the health assessment model to output the health assessment result.

[0136] S51, combining the sampling time, inputting the monitoring temperature parameter and the monitoring light intensity parameter into the health assessment model to calculate and compare the runoff parameter Q0;

[0137] The monitoring temperature parameter T obtained in step S4t And monitor the illumination parameter E t is input into the health assessment model, and the comparative runoff parameter Q0 is calculated by fitting calculation;

[0138] It should be noted that if the health assessment model includes the first standard parameter distribution surface and the second standard parameter distribution surface, then in combination with the monitoring temperature parameter T t And monitor the illumination parameter E t The sampling time is used to determine which season it belongs to. If it is summer or winter, select one from the first standard parameter distribution surface and the second standard parameter distribution surface. If it is Spring Festival or autumn, substitute it into the corresponding parameter distribution surface for calculation.

[0139] S52, setting error redundancy, and determining whether the monitored runoff parameter is qualified by combining the error redundancy and comparing the runoff parameter;

[0140] Set the error redundancy as needed and compare the calculated comparison runoff parameter Q0 and the monitoring runoff parameter Q t Substituting into the determination formula, the expression of the determination formula is: , where a represents the error redundancy;

[0141] If the judgment formula is established, the monitored runoff parameter Q is determined. t qualified, otherwise the monitored runoff parameter Q t Failure;

[0142] S53. Count the number of unqualified monitored runoff parameters and output the evaluation results in combination with health judgment conditions.

[0143] The number of unqualified monitored runoff parameters is counted, and when the health judgment condition is triggered, an unqualified health status judgment is given, otherwise a qualified judgment is output;

[0144] The health determination condition is that the cumulative number of monitored runoff parameters is unqualified or the number of consecutive monitored runoff parameters is unqualified;

[0145] T1 and T2 are set according to actual conditions.

[0146] Compared with the prior art, the technical solution described in the present application directly monitors the runoff flow of the ancient trees instead of detecting the water evaporation of the leaves or other indicators. On the one hand, it can monitor the health status of the ancient trees in a more macroscopic dimension, avoid the influence of the unhealthy state of a single leaf on the judgment of the state of the ancient tree, and improve the accuracy of the judgment; on the other hand, the runoff flow is directly collected, which not only makes the equipment simpler and the operation more convenient, but also after the equipment is installed in place, the workload of data collection is also smaller, which is conducive to improving work efficiency;

[0147] Secondly, compared with the traditional ultrasonic monitoring of the hollows of ancient trees, the runoff parameters caused by changes in transpiration change more rapidly, so it can ensure that the relevant indicators are monitored at the first time of health deterioration. At the same time, compared with the change in the hollow area, the change in runoff parameters is more obvious. Therefore, the technical solution described in this application can not only reduce the difficulty of health monitoring, but also effectively reduce misjudgment and improve the effect of health monitoring of ancient trees;

[0148] Finally, this application cleverly utilizes the synchronization between the regular changes in the environmental parameters of ancient trees and the runoff flow, thereby using historical data as a reference to effectively ensure the accuracy of data analysis and output results.

[0149] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A health monitoring method for ancient tree maintenance, characterized in that: A health monitoring system is provided, wherein the health monitoring system comprises a controller (1); A runoff monitoring module (2), a runoff sensor electrically connected to an input end of the controller (1); A temperature monitoring module (3), the temperature monitoring module (3) being electrically connected to an input end of the controller (1); A light intensity monitoring module (4), the light intensity monitoring module (4) being electrically connected to an input end of the controller (1); The monitoring method for ancient tree maintenance comprises the following steps: Conduct health assessment on the ancient trees to be monitored. If the health assessment of the ancient trees to be monitored is qualified, proceed to the next step. Otherwise, the ancient trees to be monitored are determined to be unsuitable for health monitoring. Calculate the historical temperature parameters, historical illumination parameters of the planting environment of the monitored ancient trees in the past natural year and the historical runoff parameters of the monitored ancient trees; Obtain historical runoff parameters, historical temperature parameters and historical illumination parameters; The historical runoff parameter Q' at the same sampling time t , historical temperature parameter T' t and historical illumination parameter E' t Collect and establish standard parameter elements (T' t , E' t , Q' t ); Collect all standard parameter elements into the same set to construct a standard parameter set {(T' t , E' t , Q' t ), (T'2, E'2, Q'2),..., (T' t , E' t , Q' t ),...,(T' n , E' n , Q' n )}; where n represents the number of standard parameter elements, t represents the number of sampling time, and t≤n; Establishing three-dimensional coordinates, marking each standard parameter element in the standard parameter set into the three-dimensional coordinates, and obtaining a three-dimensional scatter plot; wherein each axis of the three-dimensional coordinates represents a runoff parameter, a temperature parameter, and an illumination parameter, respectively; Fitting the three-dimensional scatter plot to obtain a standard parameter distribution surface, and using the standard parameter distribution surface as a health assessment model; Obtain the monitoring temperature parameters, monitoring light intensity parameters and monitoring runoff parameters of the ancient trees to be monitored in real time; The monitored temperature parameter, the monitored light intensity parameter and the monitored runoff parameter are imported into the health assessment model to output the health assessment result.

2. A health monitoring method for ancient tree maintenance according to claim 1, characterized in that: The controller (1) comprises a model generation module (101), wherein the model generation module (101) is used to establish a health assessment model according to the collected temperature parameters, illumination parameters and runoff parameters; A data acquisition module (102), the data acquisition module (102) is used to acquire the monitoring temperature parameters, monitoring light intensity parameters and monitoring runoff parameters of the ancient tree to be monitored in real time; A calculation module (103), wherein the calculation module (103) is used to import the monitoring temperature parameter, the monitoring light intensity parameter and the monitoring runoff parameter into the health assessment model to output a health assessment result.

3. The health monitoring method for ancient tree maintenance according to claim 1, characterized in that: The health monitoring system further comprises a wind speed monitoring module (5), and the wind speed monitoring module (5) is electrically connected to the controller (1).

4. The monitoring method according to claim 1, characterized in that: The calculation of the historical temperature parameters, historical illumination parameters and historical runoff parameters of the ancient tree planting environment to be monitored within a natural year includes the following steps: Obtain the runoff parameters, temperature parameters and light intensity parameters of the ancient trees to be monitored within one natural year; The historical runoff parameters are calculated according to the runoff parameters, the historical temperature parameters are calculated according to the temperature parameters, and the historical illuminance parameters are calculated according to the illuminance parameters.

5. The monitoring method according to claim 4, characterized in that: The method of calculating the historical runoff parameter according to the runoff parameter, calculating the historical temperature parameter according to the temperature parameter, and calculating the historical illuminance parameter according to the illuminance parameter comprises the following steps: According to the sampling time, the runoff parameters belonging to the same day were grouped together; Calculate the average value of each runoff parameter of the same group, and bind the average value with the sampling time as the historical runoff parameter Q' t , where t represents the number of sampling time; According to the sampling time, the temperature parameters belonging to the same day are grouped together; Calculate the average value of each temperature parameter of the same group, and bind the average value with the sampling time as the historical temperature parameter T' t , where t represents the number of sampling time; According to the sampling time, the illumination parameters belonging to the same day are grouped together; Calculate the average value of each illumination parameter of the same group, and bind the average value with the sampling time as the historical illumination parameter E' t , where t represents the number of sampling time; Repeat the step of grouping the runoff parameters belonging to the same day into one group according to the sampling time until all historical runoff parameters, historical temperature parameters, and historical illumination parameters are obtained.

6. The monitoring method according to claim 1, characterized in that: The method of obtaining the monitoring temperature parameters, the monitoring illumination parameters and the monitoring runoff parameters of the ancient trees to be monitored in real time includes the following steps: Obtain all temperature parameters, illumination parameters and runoff parameters collected in one day; Calculate the average value of all temperature parameters and use it as the monitoring temperature parameter T t ; Calculate the average value of all illumination parameters and use it as the monitoring illumination parameter E t ; Calculate the average value of all runoff parameters and use it as the monitoring runoff parameter Q t .

7. The monitoring method according to claim 1, characterized in that: The step of importing the monitored temperature parameter, the monitored light intensity parameter and the monitored runoff parameter into the health assessment model and outputting the health assessment result comprises the following steps: In combination with the sampling time, the monitoring temperature parameter and the monitoring light intensity parameter are input into the health assessment model to calculate the comparison runoff parameter Q0; Setting error redundancy, and determining whether the monitored runoff parameter is qualified by combining the error redundancy and comparing the runoff parameter; Count the number of unqualified monitored runoff parameters and output the evaluation results based on the health judgment conditions.

8. The monitoring method according to claim 7, characterized in that: The formula for determining whether the monitored runoff parameters are qualified is: , where a represents the error redundancy, Q t represents the monitored runoff parameter, t represents the sampling time number; Q0 represents the compared runoff parameter; the health judgment condition is that if the cumulative T1 monitored runoff parameters are unqualified or the continuous T2 monitored runoff parameters are unqualified, the health condition is judged to be unqualified, otherwise the health condition is output to be qualified.

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