CN114396975B

CN114396975B - Tree lodging-resistant monitoring and early warning method and device, electronic equipment and medium

Info

Publication number: CN114396975B
Application number: CN202210009774.5A
Authority: CN
Inventors: 胡金倍; 方成葵; 卓鸿涛
Original assignee: Shenzhen Jinyang Shengcheng Service Group Co ltd
Current assignee: Shenzhen Jinyang Shengcheng Service Group Co ltd
Priority date: 2022-01-05
Filing date: 2022-01-05
Publication date: 2023-05-23
Anticipated expiration: 2042-01-05
Also published as: CN114396975A

Abstract

The application relates to a tree lodging-resistant monitoring and early warning method, a device, electronic equipment and a medium, and relates to the technical field of monitoring and early warning; judging whether the wind speed value is larger than a preset wind speed value or not; if the wind speed value is larger than the preset wind speed value, calculating an offset angle of at least one tree, wherein the offset angle is an included angle between the current direction of the tree and the growth direction of the tree; judging whether the offset angle of any tree is larger than a preset offset angle; if the offset angle of any tree is larger than the preset offset angle, acquiring a wind speed value of preset times; if the wind speed values of the preset times are all larger than the preset wind speed values, carrying out early warning on any tree based on the size ratio of any tree, wherein the size ratio is the ratio of the current diameter of the tree to the current height of the tree. The utility model provides a be convenient for monitor trees and early warning is carried out to the phenomenon of lodging of trees.

Description

Tree lodging-resistant monitoring and early warning method and device, electronic equipment and medium

Technical Field

The application relates to the field of monitoring and early warning, in particular to a tree lodging-resistant monitoring and early warning method, a device, electronic equipment and a medium.

Background

In recent years, with the continuous development of cities, improvement of living environment is gradually paid attention to, the number, area and density of various green lands in the cities are continuously expanded, landscaping space in the cities is continuously increased, and landscaping has become an important component of urban environment.

In gardens, generally can plant the trees of a large number, but when meetting weather such as windy, trees probably can take place to lodge, and after trees took place to lodge, need the staff to maintain ornamental trees to increase maintenance cost. At present, trees in gardens are monitored through manual irregular inspection, so that the monitoring is inconvenient, and the tree lodging phenomenon is difficult to early warn.

Disclosure of Invention

In order to monitor trees and early warn the lodging phenomenon of the trees conveniently, the application provides a tree lodging-resistant monitoring and early warning method, a device, electronic equipment and a medium.

In a first aspect, the present application provides a tree lodging-resistant monitoring and early warning method, which adopts the following technical scheme:

a tree lodging-resistant monitoring and early warning method comprises the following steps:

acquiring a wind speed value;

judging whether the wind speed value is larger than a preset wind speed value or not;

If the wind speed value is larger than the preset wind speed value, calculating an offset angle of at least one tree, wherein the offset angle is an included angle between the current direction of the tree and the growth direction of the tree;

judging whether the offset angle of any tree is larger than a preset offset angle;

if the offset angle of any tree is larger than the preset offset angle, acquiring a wind speed value of preset times;

if the wind speed values of the preset times are all larger than the preset wind speed values, carrying out early warning on any tree based on the size ratio of the tree, wherein the size ratio is the ratio of the current diameter of the tree to the current height of the tree.

Through adopting above-mentioned technical scheme, electronic equipment obtains the wind speed value, judges whether the wind speed value is greater than the wind speed value of predetermineeing, if the wind speed value is greater than the wind speed value of predetermineeing to confirm that current wind speed value is great, the phenomenon of lodging can appear in trees, and electronic equipment calculates the offset angle of at least one trees, and then judges whether the offset angle of trees is greater than the offset angle of predetermineeing. If the deviation angle of the tree is larger than the preset deviation angle, determining that the tree generates a larger deviation angle due to a larger wind speed value, and acquiring the wind speed value of the preset times by the electronic equipment. If the wind speed values of the preset times are all larger than the preset wind speed value, the fact that the current wind speed value is continuously larger is determined, the tree is likely to fall down is determined, and the electronic equipment gives an early warning to the tree based on the size ratio of the tree. The method is used for monitoring the tree, the current state of the tree can be obtained more conveniently, and when the tree is likely to fall down, early warning can be carried out on the tree in time, so that the falling down of the tree is effectively reduced.

In another possible implementation, the calculating the offset angle of the at least one tree further includes:

obtaining planting information of each tree, wherein the planting information comprises planting time of each tree, growth speed of each tree, initial size of each tree and planting position information of each tree, the growth speed comprises height growth amount of the tree and diameter growth amount of the tree in preset time, and the initial size comprises initial diameter of the tree and initial height of the tree;

natural disaster information is acquired, wherein the natural disaster information comprises natural disaster information in the growth time of each tree, the growth time is the difference time between the current time and the planting time, and the natural disaster information comprises drought and waterlogging;

and calculating the current height of each tree and the current diameter of each tree based on the planting information and the natural disaster information.

By adopting the technical scheme, the electronic equipment acquires the planting information of each tree, wherein the planting information comprises planting time, growth speed, initial size and planting position information, and acquires natural disaster information in the growth process of each tree. If natural disasters occur in the tree growing process, the growth speed of the tree may be reduced. The electronic equipment can calculate the current height and the current diameter of the tree through planting information and natural disaster information, and the calculation is more accurate by acquiring the natural disaster information, so that the cost of manually measuring the height and the diameter of the tree is effectively reduced.

In another possible implementation manner, the calculating the current height of each tree and the current diameter of each tree based on the planting information and the natural disaster information includes:

determining a corresponding disaster growth rate based on the kind of the natural disaster information;

determining a first growth size based on the disaster growth rate and the natural disaster duration time, wherein the first growth size is the size of each tree grown in the natural disaster process;

determining a normal growth period based on the growth period and the natural disaster period;

determining a second growth size based on the normal growth duration and the growth rate, the second growth size being the size of each tree during normal growth;

determining the current height of each tree and the current diameter of each tree based on the first and second growth sizes.

Through adopting above-mentioned technical scheme, electronic equipment determines corresponding calamity growth speed based on the kind of natural disasters information to based on calamity growth speed and natural disasters duration determine the size that trees grew in natural disasters in-process. The electronic equipment determines the normal growth duration based on the growth time and the natural disaster duration of the tree, and determines the growth size of the tree in the normal growth process based on the normal growth duration and the growth speed. The electronic equipment determines the current height of the tree and the current diameter of the tree based on the growth size in the natural disaster process and the growth size in the normal growth process, and the height and the diameter obtained by calculating the tree based on the disaster growth speed and the growth speed are more accurate when the current height and the current diameter of the tree are calculated because the disaster growth speed of the tree is slower than the growth speed of the tree.

In another possible implementation, the calculating the offset angle of the at least one tree includes:

receiving image information acquired by monitoring equipment, wherein the image information comprises an image of at least one tree;

extracting features of the image information to determine the tree tip position information of each tree, wherein the tree tip position information is the position information of the highest point of the tree;

calculating the offset angle of each tree based on the planting position information of each tree, the tree tip position information of each tree and the current height of each tree.

By adopting the technical scheme, after the electronic equipment receives the image information collected by the monitoring equipment, the characteristic extraction is carried out on the image information so as to determine the tree tip position information of each tree. The electronic device calculates an offset angle for each tree based on the planting position information, the tree tip position information, and the current height of each tree. Through the calculation to the offset angle, can judge whether trees can appear the phenomenon of lodging in current wind speed value, if the tree probably appears the phenomenon of lodging, electronic equipment can in time carry out early warning to this tree to reduce the emergence of phenomenon of lodging.

In another possible implementation manner, the pre-warning the any tree based on the size ratio of the any tree includes:

if the wind speed values of the preset times are all larger than the preset wind speed values, calculating an average wind speed value, wherein the average wind speed value is the average value of the wind speed values of the preset times;

calculating a wind speed difference value, wherein the wind speed difference value is the difference value between the average wind speed value and the preset wind speed value;

if the ratio of the wind speed difference value to the size of any tree meets a first preset condition, carrying out primary early warning on any tree, wherein the first preset condition comprises:

the wind speed difference value is not larger than a preset difference value, and the size ratio of any tree is in a first preset interval, or,

the wind speed difference value is larger than a preset difference value, and the size ratio of any tree is in a second preset interval;

if the ratio of the wind speed difference value to the size of any tree meets a second preset condition, performing secondary early warning on any tree, wherein the second preset condition comprises:

the wind speed difference is not larger than a preset difference, the size ratio of any tree is smaller than a first preset ratio, the first preset ratio is the minimum value of the first preset interval, or,

The wind speed difference value is larger than a preset difference value, the size ratio of any tree is smaller than a second preset ratio, and the second preset ratio is the minimum value of the second preset interval.

By adopting the technical scheme, if the wind speed values of the preset times acquired by the electronic equipment are all larger than the preset wind speed values, the current wind speed value is larger, the tree is likely to fall down, the electronic equipment calculates the average wind speed value, and calculates the wind speed difference value. If the wind speed difference value is not greater than the preset difference value and the dimension ratio of the tree is in a first preset interval, or if the wind speed difference value is greater than the preset difference value and the dimension ratio of the tree is in a second preset interval, the electronic equipment performs primary early warning on the tree. If the wind speed difference value is not larger than the preset difference value and the dimension ratio of the tree is smaller than the first preset ratio, or if the wind speed difference value is larger than the preset difference value and the dimension ratio of the tree is smaller than the second preset ratio, the electronic equipment performs secondary early warning on the tree. The electronic equipment carries out different grades of early warning on trees with different size ratios based on the wind speed value difference value, and along with the increase of the wind speed value, different intervals are adopted to determine the required early warning grades of the trees, so that the trees can be correspondingly protected.

In another possible implementation manner, the pre-warning is performed on the any tree based on the size ratio of the any tree, and then the method further includes:

outputting first early warning information if the first early warning is carried out on any tree, wherein the first early warning information is used for indicating that any tree needs to be trimmed;

and if the second-level early warning is carried out on any tree, outputting second early warning information, wherein the second early warning information is used for indicating that any tree needs to be reinforced.

Through adopting above-mentioned technical scheme, if carry out the first early warning to trees, electronic equipment output first early warning information to indicate that trees need prune, in order to prevent that trees whole plant from empting. If the tree is subjected to secondary early warning, the electronic equipment outputs second early warning information, so that the tree is required to be reinforced, and the tree is prevented from being broken. The early warning information is output to prompt the relevant staff that the tree may fall down, so that the staff can protect the tree in time.

Calling an electronic map, wherein the electronic map stores planting position information of each tree;

if the first-level early warning is carried out on any tree, first-level labeling is carried out in the electronic map based on the planting position information of any tree;

and if the secondary early warning is carried out on any tree, carrying out secondary marking in the electronic map based on the planting position information of any tree.

By adopting the technical scheme, the electronic equipment invokes the electronic map stored with the planting position information of each tree, and if the tree is subjected to primary early warning, primary marking is performed in the electronic map based on the planting position information of the tree; and if the tree is subjected to secondary early warning, performing secondary labeling on the electronic map based on the planting position information of the tree. The positions of trees to be protected can be visually displayed by marking on the electronic map, and workers can conveniently and correspondingly protect the trees with different early warning grades through primary marking and secondary marking.

In a second aspect, the application provides a tree lodging-resistant monitoring and early warning device, which adopts the following technical scheme:

a tree lodging-resistant monitoring and early warning device, comprising:

The first acquisition module is used for acquiring a wind speed value;

the first judging module is used for judging whether the wind speed value is larger than a preset wind speed value or not;

the first calculation module is used for calculating an offset angle of at least one tree when the wind speed value is larger than the preset wind speed value, wherein the offset angle is an included angle between the current direction of the tree and the growth direction of the tree;

the second judging module is used for judging whether the offset angle of any tree is larger than a preset offset angle;

the second acquisition module is used for acquiring a wind speed value of preset times when the offset angle of any tree is larger than the preset offset angle;

and the early warning module is used for carrying out early warning on any tree based on the size ratio of any tree when the wind speed values of the preset times are all larger than the preset wind speed values, wherein the size ratio is the ratio of the current diameter of the tree to the current height of the tree.

Through adopting above-mentioned technical scheme, the first acquisition module acquires the wind speed value, and whether the first judgement module judges the wind speed value is greater than the wind speed value of predetermineeing, if the wind speed value is greater than the wind speed value of predetermineeing, indicates that the current wind speed value is great, and the phenomenon of lodging can appear in trees, calculates the offset angle of at least one trees through first calculation module, and then judges whether the offset angle of trees is greater than the offset angle of predetermineeing through the second judgement module. If the deviation angle of the tree is larger than the preset deviation angle, the tree is indicated to generate a larger deviation angle due to a larger wind speed value, and the wind speed value of the preset times is acquired through the second acquisition module. If the wind speed values of the preset times are all larger than the preset wind speed values, the current wind speed value is larger continuously, the tree is likely to fall down, and the tree is warned through the warning module based on the dimension ratio of the tree. The method is used for monitoring the tree, the current state of the tree can be obtained more conveniently, and when the tree is likely to fall down, the tree can be early warned in time through the early warning module, so that the falling down of the tree is effectively reduced.

In another possible implementation, the apparatus further includes:

the third obtaining module is used for obtaining planting information of each tree, wherein the planting information comprises planting time of each tree, growth speed of each tree, initial size of each tree and planting position information of each tree, the growth speed comprises height growth amount of the tree and diameter growth amount of the tree in preset time, and the initial size comprises initial diameter of the tree and initial height of the tree;

a fourth obtaining module, configured to obtain natural disaster information, where the natural disaster information includes natural disaster information in a growth time of each tree, the growth time is a difference time between a current time and a planting time, and the natural disaster information includes drought and waterlogging;

and the second calculation module is used for calculating the current height of each tree and the current diameter of each tree based on the planting information and the natural disaster information.

In another possible implementation manner, the second calculating module is specifically configured to, when calculating the current height of each tree and the current diameter of each tree based on the planting information and the natural disaster information:

In another possible implementation manner, the first calculating module is specifically configured to, when calculating the offset angle of at least one tree:

In another possible implementation manner, the early warning module is specifically configured to, when performing early warning on the any tree based on the size ratio of the any tree:

In another possible implementation, the apparatus further includes:

the first output module is used for outputting first early warning information when the first-stage early warning is carried out on any tree, and the first early warning information is used for indicating that any tree needs to be trimmed;

and the second output module is used for outputting second early warning information when carrying out secondary early warning on any tree, wherein the second early warning information is used for indicating that any tree needs to be reinforced.

In another possible implementation, the apparatus further includes:

the calling module is used for calling the electronic map, and planting position information of each tree is stored in the electronic map;

the first labeling module is used for carrying out primary labeling on the electronic map based on the planting position information of any tree when carrying out primary early warning on any tree;

and the second labeling module is used for carrying out secondary labeling on the electronic map based on the planting position information of any tree when carrying out secondary early warning on any tree.

In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:

an electronic device, the electronic device comprising:

one or more processors;

a memory;

one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to: a tree lodging-resistant monitoring and early warning method according to any one of the possible implementations of the first aspect is performed.

In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:

a computer-readable storage medium, comprising: a computer program capable of being loaded and executed by a processor to implement a tree lodging-resistant monitoring and early warning method as shown in any one of the possible implementations of the first aspect is stored.

In summary, the present application includes at least one of the following beneficial technical effects:

1. the electronic equipment acquires a wind speed value, judges whether the wind speed value is larger than a preset wind speed value, if the wind speed value is larger than the preset wind speed value, the current wind speed value is larger, the tree is likely to fall down, the electronic equipment calculates the offset angle of at least one tree, and then judges whether the offset angle of the tree is larger than the preset offset angle. If the deviation angle of the tree is larger than the preset deviation angle, the fact that the tree generates a larger deviation angle due to the fact that the wind speed value is larger is indicated, and the electronic equipment obtains the wind speed value of the preset times. If the wind speed values of the preset times are all larger than the preset wind speed values, the current wind speed value is larger continuously, the tree is likely to fall down, and the electronic equipment gives an early warning to the tree based on the dimension ratio of the tree. The method is used for monitoring the tree, so that the current state of the tree can be more conveniently obtained, and when the tree is likely to fall down, the tree can be timely pre-warned, and the falling down phenomenon of the tree is effectively reduced;

2. The electronic device obtains planting information of each tree, the planting information comprises planting time, growth speed, initial size and planting position information, and natural disaster information in the growth process of each tree is obtained. If natural disasters occur in the tree growing process, the growth speed of the tree may be reduced. The electronic equipment can calculate the current height and the current diameter of the tree through planting information and natural disaster information, and the calculation is more accurate by acquiring the natural disaster information, so that the cost of manually measuring the height and the diameter of the tree is effectively reduced.

Drawings

Fig. 1 is a schematic flow chart of a tree lodging-resistant monitoring and early warning method in an embodiment of the application.

Fig. 2 is a schematic flow chart of a tree lodging-resistant monitoring and early warning device in the embodiment of the application.

Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The present application is described in further detail below in conjunction with figures 1-3.

Modifications of the embodiments which do not creatively contribute to the invention may be made by those skilled in the art after reading the present specification, but are protected by patent laws only within the scope of claims of the present application.

For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.

In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.

Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.

The embodiment of the application provides a tree lodging-resistant monitoring and early warning method, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server for providing cloud computing service. The terminal device may be, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., and the terminal device and the server may be directly or indirectly connected through wired or wireless communication, which is not limited herein, and as shown in fig. 1, the method includes step S101, step S102, step S103, step S104, step S105, and step S106, where,

Step S101, obtaining a wind speed value.

For the embodiment of the application, the wind speed value is measured through the wind speed sensor and sent to the electronic equipment, so that the electronic equipment obtains the wind speed value in gardens. The measured wind speed value can be measured by a wind speed sensor, and other devices for measuring wind speed can be used for measuring, and the wind speed value is not limited herein.

Step S102, judging whether the wind speed value is larger than a preset wind speed value.

For the embodiment of the application, the wind speed value obtained by the electronic equipment is assumed to be 9 levels, the preset wind speed value is 8 levels, and the wind speed value 9 levels are larger than the preset wind speed value 8 levels, so that the situation that the tree is prone to lodging is indicated that the current wind speed value is larger.

Step S103, if the wind speed value is larger than the preset wind speed value, calculating the offset angle of at least one tree.

The offset angle is an included angle between the current direction of the tree and the growth direction of the tree.

For the embodiment of the application, the deviation angle of at least one tree is calculated assuming that the wind speed value obtained by the electronic equipment is 9 stages greater than the preset wind speed value by 8 stages. For example:

and when the wind speed value is 9 stages, calculating to obtain the offset angle 45 degrees of the tree. The electronic equipment can judge whether the tree can appear lodging through the offset angle, and if the tree offset angle is larger, the tree can appear lodging.

Step S104, judging whether the offset angle of any tree is larger than a preset offset angle.

For the embodiment of the present application, taking step S103 as an example, assume that the preset offset angle is 30 degrees, and the offset angle of the tree is 45 degrees greater than the preset offset angle by 30 degrees, so that it is explained that the offset angle of the tree is greater when the wind speed value is 9 steps, and the tree may fall.

Step S105, if the offset angle of any tree is larger than the preset offset angle, obtaining the wind speed value of the preset times.

For the embodiment of the application, the electronic equipment acquires the wind speed value of the preset times under the assumption that the deviation angle of the tree is 45 degrees larger than the preset deviation angle by 30 degrees and the preset wind speed value is 8 levels. Assuming that the preset wind speed value is 3 times, the electronic equipment acquires the wind speed value of 3 times to judge whether the current wind speed value is continuously larger. If the current wind speed value is large, the tree may fall down, for example:

if the electronic equipment obtains 3 wind speed values, the first wind speed value is 9.2 levels, the second wind speed value is 9.5 levels, the third wind speed value is 9.1 levels, the 3 wind speed values have smaller phase differences and are all larger than the preset wind speed value by 8 levels, the wind speed value is continuously larger, and the tree is likely to fall down.

And S106, if the wind speed values of the preset times are all larger than the preset wind speed value, carrying out early warning on any tree based on the size ratio of any tree.

Wherein the dimension ratio is the ratio of the current diameter of the tree to the current height of the tree.

For the embodiment of the application, taking step S105 as example 3, the wind speed values are all 8 levels greater than the preset wind speed value, which indicates that the wind speed value is continuously greater, the tree may fall down, and the tree is pre-warned based on the dimension ratio of the tree.

If the electronic equipment acquires the 3-time wind speed value, the first time is 9 grades, the second time is 8.5 grades, the third time is 7.5 grades, the 3-time wind speed value has larger phase difference, the wind speed value measured at the last time is smaller and smaller than the preset wind speed value of 8 grades, the influence of the current wind speed value on the tree is smaller, the probability of the tree lodging phenomenon is lower, and the early warning of the tree is not needed.

The larger the dimensional ratio of the tree, the stronger the wind resistance of the tree, for example:

the dimension ratio of tree 1 = current diameter 0.6 meters/current height 8 meters = 3/40;

the dimension ratio of tree 2 = current diameter 0.8 meters/current height 8 meters = 1/10;

the dimension ratio 1/10 of tree 2 is greater than the dimension ratio 3/40 of tree 1, indicating that tree 2 has a greater resistance to wind than tree 1. Based on the dimension ratio of trees, the trees with different wind resistance capacities are pre-warned, so that the trees are protected, and the lodging phenomenon of the trees is effectively reduced.

In one possible implementation manner of the embodiment of the present application, the method further includes step S107 (not shown in the figure), step S108 (not shown in the figure), and step S109 (not shown in the figure), where step S107 may be performed before step S103,

step S107, planting information of each tree is acquired.

The planting information comprises planting time of each tree, growth speed of each tree, initial size of each tree and planting position information of each tree, the growth speed comprises height growth amount of the tree and diameter growth amount of the tree in preset time, and the initial size comprises initial diameter of the tree and initial height of the tree.

For the embodiment of the application, the electronic device can acquire the planting information of the tree from the database, and can also acquire the planting information of the tree from the cloud server. For example:

the electronic equipment acquires planting information of the tree from the database:

planting time: 2018;

growth rate: the annual growth height is 0.5 meter, and the annual growth diameter is 0.02 meter;

initial dimensions: the initial height is 5 meters and the initial diameter is 0.4 meter;

planting position information: (1, 5);

the planting position information of the tree is that a rectangular coordinate system is established by taking a central zone of a garden as an origin, and units of an abscissa and an ordinate are meters, so that the planting position information of the tree is determined.

The size of the tree in normal growth can be calculated according to the planting information of the tree, for example:

the current height of the tree in 2021 is calculated to be 6.5 meters, the current diameter is calculated to be 0.46 meter, and the size of the tree is calculated by acquiring planting information, so that the cost of manual measurement is effectively reduced.

Step S108, natural disaster information is acquired.

The natural disaster information comprises natural disaster information in the growth time of each tree, the growth time is the difference time between the current time and the planting time, and the natural disaster information comprises drought and waterlogging.

For the embodiment of the application, the electronic device may acquire the natural disaster information in the tree growth time from the database, or may also acquire the natural disaster information from the cloud server, which is not limited herein. For example:

the electronic device obtains the natural disaster information from the cloud server from 2018 to 2021, and the electronic device obtains that the tree encounters drought in 2019 in the growing time, assuming drought occurs in 2019. By acquiring the natural disaster information, errors can be reduced when the current height and the current diameter of the tree are calculated, so that the tree is calculated more accurately.

Step S109, calculating the current height of each tree and the current diameter of each tree based on the planting information and the natural disaster information.

For the embodiment of the application, the current height and the current diameter of each tree are calculated through the electronic equipment, so that the cost of manual measurement is effectively reduced, and the electronic equipment calculates based on natural disaster information and planting information, so that the calculated tree size is more accurate.

In one possible implementation manner of the embodiment of the present application, the step S109 calculates the current height of each tree and the current diameter of each tree based on the planting information and the natural disaster information, and specifically includes a step S1091 (not shown in the figure), a step S1092 (not shown in the figure), a step S1093 (not shown in the figure), a step S1094 (not shown in the figure), and a step S1095 (not shown in the figure), where,

step S1091, determining a corresponding disaster growth rate based on the type of the natural disaster information;

for the embodiment of the application, when drought in natural disasters occurs in the tree in a growing time, the disaster growth speed corresponding to the drought is as follows: the annual growth height is 0.2 meter, and the annual growth diameter is 0.005 meter;

when a tree is subjected to waterlogging in natural disasters in the growth time, the disaster growth speed corresponding to the waterlogging is as follows: the annual growth height is 0.25 m, and the annual growth diameter is 0.006 m.

Assuming that the electronic device obtains through the database that drought disaster occurred in 2019, the disaster growth speed corresponding to the tree in 2019 is: the annual growth height is 0.2 m, and the annual growth diameter is 0.005 m. The growth speed of the tree is slower than that of the tree in normal growth in natural disasters, and the disaster growth speeds of the tree in different natural disasters are different, so that the electronic equipment needs to determine the corresponding disaster growth time by acquiring the types of disaster information, and the height and the diameter of the tree are calculated more accurately.

Step S1092, determining the first growth size based on the disaster growth rate and the natural disaster duration.

Wherein the first growth size is the size of each tree grown during a natural disaster.

For the embodiment of the application, it is assumed that the electronic device obtains, through the database, that drought occurs in 2019, the duration of natural disasters is 0.5 year, and the disaster growth speed corresponding to the drought is: the annual growth height is 0.2 meter, the annual growth diameter is 0.005 meter, and then the size of the tree grown in 0.5 year of the natural disaster duration is as follows: the growth height is 0.1 m and the growth diameter is 0.0025 m.

Because the growth speed of the tree in the natural disaster is slower than that in the normal growth, the growth size in the natural disaster process and the growth size in the normal growth process are calculated separately, so that the calculation of the 2019 growth size is more accurate, and the calculation of the current height and the current diameter of the tree is more accurate.

Step S1093, determining a normal growth period based on the growth period and the natural disaster period.

For the embodiment of the application, assuming that the electronic device obtains through the database that drought disaster occurs in 2019, the duration of natural disaster is 0.5 year, the normal growth duration of trees in 2019 can be obtained to be 0.5 year. The length of the normal growth of the tree is calculated, so that the size of the tree growing in the normal growth can be calculated, the size of the tree growing in the 2019 can be obtained by combining the size of the tree growing in the natural disaster, the size of the tree growing in the 2019 can be calculated more accurately, and the current height and the current diameter of the tree can be calculated more accurately.

Step S1094, a second growth size is determined based on the normal growth duration and growth rate.

Wherein the second growth size is the size of each tree during normal growth.

For the embodiment of the application, it is assumed that the electronic device obtains, through the database, that drought occurs in 2019, and that the normal growth time of the tree in 2019 is 0.5, and the growth speed of the tree is: the annual growth height is 0.5 meter, the annual growth diameter is 0.02 meter, and the size of the tree grown in 0.5 years of normal growth is as follows: the growth height was 0.25 m and the growth diameter was 0.01 m. Because the growth rate of the tree in normal growth is faster than that in natural disasters, the size in normal growth and the size in growth in the natural disasters are calculated separately, so that the size in 2019 growth is calculated more accurately, and the current height and the current diameter of the tree are calculated more accurately.

Step S1095, determining a current height of each tree and a current diameter of each tree based on the first and second growth sizes.

For the embodiment of the application, the electronic device is assumed to acquire drought disasters in 2019 through a database, the duration of the natural disasters is 0.5 year, and the duration of normal growth of trees in 2019 is 0.5 year. The size of trees grown in 0.5 years of natural disaster duration is: the growth height is 0.1 meter, and the growth diameter is 0.0025 meter; the size of the tree grown in 0.5 years of normal growth is: the growth height was 0.25 m and the growth diameter was 0.01 m. Adding the size of the tree grown in the natural disaster to the size of the tree grown normally, thereby obtaining the size of the tree grown in 2019: the growth height is 0.35 m and the growth diameter is 0.0125 m.

Taking step S107 as an example, the current height and current diameter of the tree in 2021 are calculated,

the size of the tree grown in 2018 is: the growth height is 0.5 meter, and the growth diameter is 0.02 meter;

the size of the tree grown in 2019 is: the growth height is 0.35 meter, and the growth diameter is 0.0125 meter;

the tree grows in 2020: the growth height is 0.5 meter, and the growth diameter is 0.02 meter;

Adding the size of the tree growth in 2018, the size of the tree growth in 2019 and the size of the tree growth in 2020, the sizes until the tree grows at the growing time are as follows: the growth height is 1.35 m, and the growth diameter is 0.0525 m;

the initial dimensions of the tree were: the initial height is 5 meters and the initial diameter is 0.4 meter;

adding the size of the tree grown for a growing time to the initial size of the tree to obtain:

current height of tree = 1.35 m +5 m = 6.35 m;

current diameter of tree = 0.0525 m +0.4 m = 0.4525 m.

The electronic equipment obtains the current height and the current diameter of each tree by acquiring planting information and natural disaster information and calculating the size in the normal growth process and the size in the natural disaster process, so that the calculation is more accurate, and meanwhile, the cost of manual measurement is effectively reduced.

In one possible implementation manner of the embodiment of the present application, the calculating the offset angle of at least one tree in step S103 specifically includes step S1031 (not shown in the figure), step S1032 (not shown in the figure), and step S1033 (not shown in the figure), where,

step S1031, receiving image information collected by the monitoring device.

Wherein the image information includes an image of at least one tree.

For the embodiment of the application, the monitoring equipment is installed above the central zone of the garden, and can monitor all trees. When the wind speed value is greater than a preset wind speed value, the monitoring equipment collects image information of the trees in the garden and sends the image information to the electronic equipment, so that the electronic equipment can analyze the image information, an offset angle of at least one tree is obtained, and whether the tree falls down or not is judged. The tree in gardens is monitored through the monitoring equipment, so that the cost of manual inspection is effectively reduced.

In step S1032, feature extraction is performed on the image information to determine the tree tip position information of each tree.

The tree tip position information is the position information of the highest point of the tree.

For the embodiment of the application, the electronic device receives the image information sent by the monitoring device, and performs feature extraction on the image information. For example: the electronic equipment divides the image information according to the gray value of the image information, color filters each tree in the image information, extracts the boundary outline of each tree, and determines the highest point of the boundary, thereby determining the highest point of the tree. The electronic equipment takes the monitoring equipment as an origin, a rectangular coordinate system is established on the image information, the units of the abscissa and the ordinate are meters, and the position information of the tree tip of each tree is obtained on the coordinate axis based on the determined highest point of each tree. For example:

The tree 1 has tree tip position information of (4, 5);

the tree tip position information of the tree 2 is (2, 4).

The electronic equipment compares the tree tip position information of each tree with the planting position information so as to determine the offset angle of the current tree and monitor the offset angle of the tree.

Step S1033, calculating an offset angle of each tree based on the planting position information of each tree, the tree tip position information of each tree, and the current height of each tree.

For the embodiment of the application, the planting position information of the tree is assumed to be (1, 5), the tree tip position information of the tree is assumed to be (4, 5) when the wind speed value is 9 levels, and the current height of the tree is assumed to be 6 meters. Based on the planting position information and the tree tip position information, the offset of the tree tip position information of the tree in the image information can be obtained through a distance formula between two points:

offset =

。

Based on right triangle formed by offset and the current height of the tree, calculating an offset angle alpha through a trigonometric function:

sinα=offset/current height=3/6=1/2;

arcsin 1/2=30 degrees=offset angle α.

The offset angle of each tree can be calculated through planting position information, tree tip position information and current height, and size information of the tree can be combined, so that whether the tree can fall or not is determined.

In one possible implementation manner of the embodiment of the present application, step S106 performs early warning on any tree based on the size ratio of any tree, specifically including step S1061 (not shown in the figure), step S1062 (not shown in the figure), step S1063 (not shown in the figure), and step S1064 (not shown in the figure), where,

in step S1061, if the wind speed values of the preset times are all greater than the preset wind speed value, an average wind speed value is calculated.

Wherein the average wind speed value is the average value of the wind speed values of the preset times.

For the embodiment of the present application, taking step S105 as an example, the electronic device obtains 3 wind speed values, and calculates an average wind speed value:

average wind speed value= (9.2+9.5+9.1)/3≡9.27.

If the wind speed values of the preset times are all larger than the preset wind speed value, the fact that the current wind speed value is larger is determined, and the tree is likely to fall down is determined.

In step S1062, a wind speed difference is calculated.

The wind speed difference value is the difference value between the average wind speed value and a preset wind speed value.

For the embodiment of the present application, taking step S1061 as an example, assuming that the preset wind speed value is 8 steps, a wind speed difference value is calculated:

wind speed difference = average wind speed value-preset wind speed value = 9.27-8 = 1.27 steps.

The larger the wind speed difference value is, the larger the difference between the average wind speed value and the preset wind speed value is, so that the larger the current wind speed value is, the situation that the tree can fall down is determined.

Step S1063, if the ratio of the wind speed difference to the size of any tree meets the first preset condition, performing a first-level early warning on any tree.

The first preset condition comprises:

the wind speed difference is not greater than the preset difference, and the size ratio of any tree is in the first preset interval, or,

the wind speed difference value is larger than the preset difference value, and the size ratio of any tree is in a second preset interval.

For the embodiment of the application, it is assumed that the first preset interval is [1/40,3/40], the second preset interval is [1/20,1/10], the preset difference is 1 level,

the current diameter of the tree 1 is 0.15 m, the current height is 8 m, and the size ratio is 3/160;

the current diameter of the tree 2 is 0.3 meter, the current height is 8 meters, and the size ratio is 3/80;

the current diameter of the tree 3 is 0.4 meter, the current height is 8 meters, and the size ratio is 1/20;

the tree 4 has a current diameter of 1 meter, a current height of 8 meters and a size ratio of 1/8.

Assuming that the current wind speed difference is 1.27 level, greater than the preset difference 1 level,

the dimension ratio 3/160 of the tree 1 is smaller than the second preset ratio 1/20, and then secondary early warning is carried out on the tree 1;

the dimension ratio 3/80 of the tree 2 is smaller than the second preset ratio 1/20, and then secondary early warning is carried out on the tree 2;

The dimension ratio 1/20 of the tree 3 is in a second preset interval [1/20,1/10], and then primary early warning is carried out on the tree 3;

the dimension ratio 1/8 of the tree 4 is not smaller than the second preset ratio 1/20 and is not in the second preset interval [1/20,1/10], which indicates that the influence of the current wind speed value on the tree 4 is small, the probability of lodging of the tree is low, and early warning is not needed.

Assuming that the current wind speed difference is of the order of 0.98, not more than the preset difference of 1,

the dimension ratio 3/160 of the tree 1 is smaller than the first preset ratio 1/40, and then secondary early warning is carried out on the tree 1;

the dimension ratio of 3/80 of the tree 2 is in a first preset interval [1/40,3/40], and then primary early warning is carried out on the tree 2;

the dimension ratio of 1/20 of the tree 3 is in a first preset interval [1/40,3/40], and then primary early warning is carried out on the tree 3;

the dimension ratio 1/8 of the tree 4 is not smaller than the first preset ratio 1/40 and is not in the first preset interval [1/40,3/40], which means that the influence of the current wind speed value on the tree 4 is small, the probability of lodging of the tree is low, and early warning is not needed.

The method is characterized in that the method comprises the steps of early warning is carried out on the tree based on the size ratio and the wind speed difference value of the tree, the larger the wind speed difference value is, the larger the wind speed value is, the stronger the wind resistance of the tree is, but for the tree with stronger wind resistance, as the branches and leaves of the tree are luxuriant, the tree with luxuriant branches and leaves can topple over when the wind speed value is larger, so that the tree is pulled up continuously. If the size ratio is smaller, the weaker the wind resistance of the tree is, and the tree can be broken when the wind speed value is larger. Based on the judgment of the size ratio, the early warning grade of the tree is determined, corresponding protective measures can be adopted for the trees with different size ratios through the early warning of different grades, and the lodging situation of the tree can be effectively reduced.

In one possible implementation manner of the embodiment of the present application, the method further includes step S110 (not shown in the figure) and step S111 (not shown in the figure), where step S110 may be performed after step S106, where,

step S110, if one-level early warning is performed on any tree, outputting first early warning information.

For this application embodiment, if any trees need one-level early warning, electronic equipment outputs first early warning information, and first early warning information is used for showing trees and need prune to make suggestion staff trees can take place to empty, thereby the staff can prune trees in time, reduces the phenomenon that trees lodged and takes place, and first early warning information can be the text message that sends "trees need prune" to user terminal equipment, can also be the voice message that "trees need prune" that control speaker device sent, can also be other forms of early warning information, does not do not limit here.

Step S111, if any tree is subjected to secondary early warning, outputting second early warning information.

For this application embodiment, if any trees need the second early warning, electronic equipment outputs second early warning information, and second early warning information is used for showing trees and need consolidate, so that suggestion staff trees can take place the fracture, thereby the staff can consolidate trees in time, reduce the phenomenon that trees lodge to take place, second early warning information can be the text information that sends "trees need consolidate" to user terminal equipment, can also be the voice information that "trees need consolidate" that control speaker device sent, can also be other forms of early warning information, do not limit here.

In one possible implementation manner of the embodiment of the present application, the method further includes step S112 (not shown in the figure), step S113 (not shown in the figure), and step S114 (not shown in the figure), where step S112 may be performed after step S106, where,

step S112, calling the electronic map.

The electronic map stores planting position information of each tree.

For the embodiment of the application, the electronic device can call the electronic map from the database, and can call the electronic map from the cloud server. The planting position information of each tree is prestored in the electronic map, and the position of each tree can be intuitively seen on the electronic map, so that a worker can conveniently monitor the tree.

Step S113, if the first-level early warning is carried out on any tree, the first-level marking is carried out on the basis of the planting position information of any tree in the electronic map.

For the embodiment of the application, if the electronic equipment performs primary early warning on the trees, the planting position information of the trees performing primary early warning is marked as red on the electronic map, the worker can see all the trees performing primary early warning through the electronic map, and the worker can know the positions of the trees needing to be protected more accurately, so that the trees marked as the planting position information of red are trimmed. Through the early warning to trees, can effectively reduce trees and take place the phenomenon of lodging.

And step S114, if any tree is subjected to secondary early warning, performing secondary labeling in the electronic map based on planting position information of any tree.

For the embodiment of the application, if the electronic equipment performs secondary early warning on the trees, the planting position information of the trees performing the secondary early warning is marked as yellow on the electronic map, the staff can see all the trees performing the secondary early warning through the electronic map, and the staff can know the positions of the trees needing to be protected more accurately, so that the trees marked as the planting position information of the yellow are reinforced. Through the early warning to trees, can effectively reduce trees and take place the phenomenon of lodging.

The above embodiment describes a tree lodging-resistant monitoring and early warning method from the aspect of a method flow, and the following embodiment describes a tree lodging-resistant monitoring and early warning device from the aspect of a virtual module or a virtual unit, and specifically the following embodiment is described.

The embodiment of the application provides a trees anti-lodging monitoring early warning device 20, as shown in fig. 2, this trees anti-lodging monitoring early warning device 20 specifically can include:

the first obtaining module 201 is configured to obtain a wind speed value.

The first determining module 202 is configured to determine whether the wind speed value is greater than a preset wind speed value.

The first calculating module 203 is configured to calculate an offset angle of at least one tree when the wind speed value is greater than a preset wind speed value, where the offset angle is an included angle between a current direction of the tree and a growth direction of the tree.

The second determining module 204 is configured to determine whether the offset angle of any tree is greater than a preset offset angle.

The second obtaining module 205 is configured to obtain a wind speed value of a preset number of times when the offset angle of any tree is greater than a preset offset angle.

And the early warning module 206 is used for carrying out early warning on any tree based on the dimension ratio of any tree when the wind speed values of the preset times are all larger than the preset wind speed value, wherein the dimension ratio is the ratio of the current diameter of the tree to the current height of the tree.

For the embodiment of the application, the first obtaining module 201 obtains the wind speed value, and determines whether the wind speed value is greater than the preset wind speed value through the first determining module 202, if the wind speed value is greater than the preset wind speed value, it is indicated that the current wind speed is greater, the tree may fall down, the offset angle of at least one tree is calculated through the first calculating module 203, and further, whether the offset angle of the tree is greater than the preset offset angle is determined through the second determining module 204. If the deviation angle of the tree is greater than the preset deviation angle, it indicates that the tree generates a larger deviation angle due to a larger wind speed value, and the second obtaining module 205 obtains the wind speed value of the preset times. If the wind speed values of the preset times are all larger than the preset wind speed value, the current wind speed value is larger, and the tree is likely to fall down, and the tree is pre-warned through the pre-warning module 206 based on the dimension ratio of the tree. The method is used for monitoring the tree lodging phenomenon, the current state of the tree can be obtained more conveniently, and when the tree is likely to lodge, early warning can be carried out on the tree in time, so that the occurrence of the tree lodging phenomenon is effectively reduced.

In one possible implementation manner of the embodiment of the present application, the apparatus further includes:

the third acquisition module is used for acquiring planting information of each tree, wherein the planting information comprises planting time of each tree, growth speed of each tree, initial size of each tree and planting position information of each tree, the growth speed comprises height growth amount of the tree and diameter growth amount of the tree in preset time, and the initial size comprises initial diameter of the tree and initial height of the tree;

the fourth acquisition module is used for acquiring natural disaster information, wherein the natural disaster information comprises natural disaster information in the growth time of each tree, the growth time is the difference time between the current time and the planting time, and the natural disaster information comprises drought and waterlogging;

In one possible implementation manner of this embodiment of the present application, when calculating the current height of each tree and the current diameter of each tree based on the planting information and the natural disaster information, the second calculation module is specifically configured to:

Determining a first growth size based on the disaster growth speed and the natural disaster duration time, wherein the first growth size is the size of each tree growing in the natural disaster process;

determining a normal growth period based on the growth period and the natural disaster duration;

the current height of each tree and the current diameter of each tree are determined based on the first and second growth sizes.

In one possible implementation manner of this embodiment of the present application, when calculating the offset angle of at least one tree, the first calculating module 203 is specifically configured to:

receiving image information acquired by monitoring equipment, wherein the image information comprises at least one image of a tree;

an offset angle of each tree is calculated based on the planting position information of each tree, the tree tip position information of each tree, and the current height of each tree.

In one possible implementation manner of this embodiment of the present application, when the early warning module 206 performs early warning on any tree based on the size ratio of any tree, the early warning module is specifically configured to:

If the wind speed values of the preset times are all larger than the preset wind speed values, calculating an average wind speed value which is the average value of the wind speed values of the preset times;

calculating a wind speed difference value, wherein the wind speed difference value is the difference value between the average wind speed value and a preset wind speed value;

the wind speed difference value is larger than the preset difference value, and the size ratio of any tree is in a second preset interval;

if the ratio of the wind speed difference value to the size of any tree meets a second preset condition, carrying out secondary early warning on any tree, wherein the second preset condition comprises:

the wind speed difference is not greater than the preset difference, and the size ratio of any tree is smaller than a first preset ratio, wherein the first preset ratio is the minimum value of a first preset interval, or,

the wind speed difference value is larger than the preset difference value, and the size ratio of any tree is smaller than a second preset ratio, wherein the second preset ratio is the minimum value of the second preset interval.

The first output module is used for outputting first early warning information when one-level early warning is carried out on any tree, and the first early warning information is used for indicating that any tree needs to be trimmed;

the second output module is used for outputting second early warning information when any tree is subjected to secondary early warning, and the second early warning information is used for indicating that any tree needs to be reinforced.

the first labeling module is used for carrying out primary labeling on the basis of planting position information of any tree in the electronic map when carrying out primary early warning on any tree;

and the second labeling module is used for carrying out secondary labeling on the planting position information of any tree in the electronic map when carrying out secondary early warning on any tree.

In this embodiment of the present application, the first acquisition module 201, the second acquisition module 205, the third acquisition module, and the fourth acquisition module may be the same acquisition module, or may be different acquisition modules, or may be partially the same acquisition module; the first judging module 202 and the second judging module 204 may be the same judging module or different judging modules; the first computing module 203 and the second computing module may be the same computing module or may be different computing modules; the first output module and the second output module may be the same output module or different output modules; the first labeling module and the second labeling module may be the same labeling module or different labeling modules.

The embodiment of the present application provides a tree lodging-resistant monitoring and early warning device 20, which is suitable for the embodiment of the method and is not described herein in detail.

In an embodiment of the present application, as shown in fig. 3, an electronic device 30 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the electronic device 30 may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device 30 is not limited to the embodiment of the present application.

The processor 301 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. Processor 301 may also be a combination of implementing computing functions. For example, comprising one or more combinations of microprocessors, a combination of a DSP and a microprocessor, and the like.

Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect Standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or one type of bus.

The Memory 303 may be, but is not limited to, ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, EEPROM (Electrically Erasable Programmable Read Only Memory ), CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired application code in the form of instructions or data structures and that can be accessed by a computer.

The memory 303 is used for storing application program codes for executing the present application and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what is shown in the foregoing method embodiments.

Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The electronic device shown in fig. 3 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.

The present application provides a computer readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above. Compared with the related art, the electronic equipment acquires the wind speed value, judges whether the wind speed value is larger than the preset wind speed value, if the wind speed value is larger than the preset wind speed value, the current wind speed value is larger, the tree is likely to fall down, the electronic equipment calculates the offset angle of at least one tree, and further judges whether the offset angle of the tree is larger than the preset offset angle. If the deviation angle of the tree is larger than the preset deviation angle, the fact that the tree generates a larger deviation angle due to the fact that the wind speed value is larger is indicated, and the electronic equipment obtains the wind speed value of the preset times. If the wind speed values of the preset times are all larger than the preset wind speed values, the current wind speed value is larger continuously, the tree is likely to fall down, and the electronic equipment gives an early warning to the tree based on the dimension ratio of the tree. The method is used for monitoring the tree, the current state of the tree can be obtained more conveniently, and when the tree is likely to fall down, early warning can be carried out on the tree in time, so that the falling down of the tree is effectively reduced.

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.

The foregoing is only a partial embodiment of the present application, and it should be noted that, for a person skilled in the art, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims

1. The tree lodging-resistant monitoring and early warning method is characterized by comprising the following steps of:

acquiring a wind speed value;

if the wind speed values of the preset times are all larger than the preset wind speed values, carrying out early warning on any tree based on the size ratio of the tree, wherein the size ratio is the ratio of the current diameter of the tree to the current height of the tree;

the specific steps of early warning any tree based on the size ratio of the any tree are as follows:

2. The method for monitoring and early warning tree lodging resistance according to claim 1, wherein calculating the offset angle of at least one tree further comprises:

3. The tree lodging-resistant monitoring and early warning method of claim 2, wherein calculating the current height of each tree and the current diameter of each tree based on the planting information and the natural disaster information comprises:

4. The method of claim 1, wherein calculating the offset angle of at least one tree comprises:

5. The method for monitoring and early warning of tree lodging resistance according to claim 1, wherein the step of early warning of any tree based on the dimensional ratio of the any tree further comprises:

6. The method for monitoring and early warning of tree lodging resistance according to claim 1, wherein the step of early warning of any tree based on the dimensional ratio of the any tree further comprises:

7. The utility model provides a trees lodging-resistant control early warning device which characterized in that includes:

the first acquisition module is used for acquiring a wind speed value;

the early warning module is used for carrying out early warning on any tree based on the size ratio of the tree when the wind speed values of the preset times are all larger than the preset wind speed values, wherein the size ratio is the ratio of the current diameter of the tree to the current height of the tree;

8. An electronic device, comprising:

one or more processors;

a memory;

one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to: a tree lodging-resistant monitoring and early warning method according to any one of claims 1 to 6 is performed.

9. A computer readable storage medium having stored thereon a computer program, characterized in that the program when executed by a processor implements a tree lodging-resistant monitoring and early warning method according to any one of claims 1 to 6.