CN114372894A - Tree maintenance data acquisition method and device based on Internet of things - Google Patents
Tree maintenance data acquisition method and device based on Internet of things Download PDFInfo
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Abstract
The invention discloses a tree maintenance data acquisition method and device based on the Internet of things. The method comprises the following steps: continuously acquiring tree and environment information acquired by a tree maintenance data acquisition device; judging the growth state of the tree and the environment condition of the tree according to the acquired information; when the growth state of the tree is abnormal and/or the environment where the tree is located is not appropriate, generating a corresponding warning prompt and a preliminary maintenance strategy; and generating a target maintenance strategy according to the tree and/or environment information acquired after the information acquisition setting parameters are adjusted, and sending the target maintenance strategy to the manager terminal. The invention forms a data information acquisition and intelligent management and control analysis and judgment system based on the Internet of things, which is formed by integrating a data acquisition device, a cloud server and a manager terminal; can carry out high-efficient management to trees, no longer rely on traditional laggard artifical visual observation and the simple individual subjective judgement of sporadic formula to the management of trees, have advance, reliability, can promote nature and economical and practical.
Description
Technical Field
The application relates to the technical field of tree maintenance, in particular to a tree maintenance data acquisition method and device based on the Internet of things.
Background
Trees, especially the centuries old trees or ancient famous trees, have important historical significance and cultural value, are precious natural resources of human beings, and must be well protected.
However, in the aspect of tree management, traditional backward manual visual observation and occasional simple personal subjective judgment are often relied on in the industry, an efficient management strategy for the ancient and famous trees is lacked, and the situation that the ancient and famous trees are in unhealthy states or are felled and managers cannot know timely often occurs, so that huge losses are finally brought to economy or culture.
Disclosure of Invention
Based on this, aiming at the technical problems, a tree maintenance data acquisition method and device based on the Internet of things are provided.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, a tree maintenance data acquisition method based on the internet of things is applied to a cloud server, and the method comprises the following steps:
continuously acquiring tree information and environment information acquired by a tree maintenance data acquisition device;
judging whether the growth state of the tree is healthy or not and judging whether the environment where the tree is located is suitable for the growth of the tree or not according to the collected tree information and environment information based on the tree identity information;
when the abnormal growth state of the tree is judged and/or the environment where the tree is located is judged not to be suitable for the growth of the tree, generating a corresponding maintenance warning prompt and a preliminary maintenance strategy;
if the cloud server is in a manual control mode, sending the obtained tree information, environment information, maintenance warning prompt and preliminary maintenance strategy to a manager terminal, and then sending a control signal sent by the manager terminal to the data acquisition device; on the basis of the preliminary maintenance strategy, combining tree information and/or environment information acquired after the data acquisition device adjusts information acquisition setting parameters according to control signals to generate a target maintenance strategy, and transmitting the target maintenance strategy and information acquired after the information acquisition setting parameters are adjusted to a manager terminal;
if the cloud server is in an automatic control mode, generating a corresponding control signal according to the preliminary maintenance strategy, and then sending the control signal to the data acquisition device; on the basis of the preliminary maintenance strategy, a target maintenance strategy is generated by combining the tree information and/or the environment information acquired after the data acquisition device adjusts the information acquisition setting parameters according to the control signals, and the target maintenance strategy, the maintenance warning prompt and the acquired tree information and environment information are all sent to the manager terminal.
Optionally, the tree information includes: tree position information, tree inclination, trunk image and/or crown image; the environment information includes: real-time environment video, temperature, humidity, soil water content, soil organic matter content, wind speed and wind direction.
Optionally, the tree identity information includes tree species and tree age.
Further optionally, when the collected tree inclination exceeds a set threshold, determining that the growth state of the tree is abnormal; when the tree is identified to be infected with diseases and insect pests according to the real-time environment video, the trunk image and/or the crown image of the tree, judging that the growth state of the tree is abnormal; and when the tree is broken or artificially damaged according to the real-time environment video, the trunk image and/or the crown image of the tree, judging that the growth state of the tree is abnormal.
Further optionally, when it is judged that there is no continuous rainfall within a corresponding preset time according to the collected temperature and humidity information based on the identity information of the trees, it is judged that the environment where the trees are located is not suitable for the growth of the trees; when the rainfall is judged to be continuously rained within the corresponding preset time according to the collected temperature and humidity information based on the identity information of the trees, the environment where the trees are located is judged to be not suitable for the growth of the trees; when the wind speed is judged to exceed a tree resistance threshold set according to the tree species according to the collected wind speed information, judging that the environment of the tree is not suitable for the growth of the tree; and when the collected soil water content or soil organic matter content information is judged to exceed a threshold value set according to the tree species, judging that the environment where the tree is located is not suitable for the growth of the tree.
In a second aspect, a tree maintenance data acquisition method based on the internet of things is applied to a tree maintenance data acquisition device, and the method includes:
collecting tree information and environment information, and sending the collected data to a cloud server;
when the cloud server judges that the growth state of the trees is abnormal and/or judges that the environment where the trees are located is not suitable for the growth of the trees according to the collected tree information and environment information based on the tree identity information and generates a corresponding maintenance warning prompt and a preliminary maintenance strategy, the cloud server adjusts information collection setting parameters in response to a control signal sent by the cloud server, collects the corresponding tree information and/or environment information and sends the information to the cloud server.
Preferably, the adjusting the information collection setting parameter includes:
adjusting the working state and the acquisition frequency of each acquisition unit of the data acquisition module according to the control signal;
and adjusting the view field and the pose of a camera of the data acquisition module according to the control signal.
In a third aspect, a tree maintenance data collection device, the device comprising:
the data acquisition module is used for acquiring tree information and environment information of trees;
the wireless communication module is used for establishing wireless communication connection with the cloud server and other tree maintenance data acquisition devices;
the memory module is used for storing the acquired data, the control signal and the program code;
the processor module is used for operating program codes to realize the tree maintenance data acquisition method based on the Internet of things in the second aspect;
and the power module is used for providing electric energy for each electricity utilization module in the tree maintenance data acquisition device.
Preferably, the data acquisition module specifically includes:
the positioning module is used for acquiring the position information of the tree;
the camera is used for acquiring a trunk image and/or a crown image of the tree and a real-time environment video;
the gyroscope is used for acquiring the inclination of the tree;
the temperature and humidity sensor is used for collecting the ambient temperature and humidity;
the moisture sensor is used for collecting the moisture content of the trunk under the bark and then providing the moisture content to the cloud server to calculate the moisture content of the soil;
and the wind speed and direction sensor is used for acquiring wind speed and wind direction.
Further preferably, a tree identity chip is arranged in the tree maintenance data acquisition device and is used for writing tree identity information in advance.
The invention has at least the following beneficial effects:
based on further analysis and research on the problems in the prior art, the invention realizes that with the high-speed development and wide application of the technology of the internet of things, the development of the field of tree monitoring and maintenance can be better changed in the era of the internet of things; according to the tree maintenance data acquisition method based on the Internet of things, whether the growth state of a tree is healthy and whether the environment where the tree is located is suitable for tree growth is judged according to tree information and environment information of the tree which are acquired in real time through a cloud server, and corresponding maintenance alarm prompts and maintenance strategies are generated, so that the tree maintenance data acquisition device is controlled directly or through a manager terminal, further, other tree information and/or environment information are acquired, and then the tree maintenance data acquisition device is provided for the cloud server to generate a final maintenance strategy for use; the tree maintenance data acquisition device, the cloud server and the administrator terminal are integrated, and the data information acquisition and intelligent management and control analysis and judgment system based on the Internet of things is formed.
The invention can carry out real-time data acquisition aiming at information such as tree inclination, plant diseases and insect pests breeding, temperature and humidity and the like which need to be particularly concerned and monitored in the tree maintenance process, can find out abnormal conditions of various tree growth states or conditions that the environment is not suitable for growth in time so as to carry out proper maintenance and scientific treatment, thereby providing a set of efficient management strategy for trees, and avoiding the occurrence of the conditions that the trees are in unhealthy states and even are felled but cannot be known in time; the tree maintenance data acquisition method based on the Internet of things has very important practical significance in the aspects of saving manpower and material resources, so that the management of trees does not depend on traditional backward manual visual observation and accidental simple individual subjective judgment any more, the expense of managers can be reduced, and the method has advancement, reliability, popularization and economic practicability.
Drawings
Fig. 1 is a schematic application environment diagram of a tree maintenance data acquisition method based on the internet of things according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a tree maintenance data acquisition method based on the internet of things according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of another tree maintenance data acquisition method based on the internet of things according to an embodiment of the present invention;
fig. 4 is a block diagram of a module architecture of a tree maintenance data collection device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The tree maintenance data acquisition method based on the Internet of things can be applied to the application environment shown in figure 1. The tree maintenance data acquisition device 101 is in communication with the cloud server 102 through a wireless communication network, and the cloud server 102 is also in communication with the administrator terminal 103 through the wireless communication network. The administrator terminal 103 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the cloud server 102 may be implemented by an independent server or a server cluster formed by a plurality of servers.
Example one
In this embodiment, as shown in fig. 2, a tree maintenance data acquisition method based on the internet of things is provided, which is described by taking the method applied to the cloud server 102 in fig. 1 as an example, and includes the following steps:
step S201, continuously acquiring tree information and environment information acquired by the tree maintenance data acquisition device 101;
step S202, based on tree identity information, judging whether the growth state of the tree is healthy or not according to the collected tree information and environment information, and judging whether the environment where the tree is located is suitable for tree growth or not;
step S203, when the growth state of the tree is judged to be abnormal and/or the environment where the tree is located is judged not to be suitable for the growth of the tree, generating a corresponding maintenance warning prompt and a preliminary maintenance strategy;
step S204, if the cloud server 102 is in a manual control mode, sending the acquired tree information, environment information, maintenance warning prompt and preliminary maintenance strategy to the manager terminal 103, and then sending a control signal sent by the manager terminal 103 to the data acquisition device 101; on the basis of the preliminary maintenance strategy, a target maintenance strategy is generated by combining with other tree information and/or environment information acquired by the data acquisition device 101 after adjusting information acquisition setting parameters according to a control signal, and the target maintenance strategy and the additionally acquired information are sent to the manager terminal 103;
step S205, if the cloud server 102 is in an automatic control mode, generating a corresponding control signal according to the preliminary maintenance strategy, and then sending the control signal to the data acquisition device 101; on the basis of the preliminary maintenance strategy, a target maintenance strategy is generated by combining with the other tree information and/or environment information acquired by the data acquisition device 101 after adjusting the information acquisition setting parameters according to the control signal, and the target maintenance strategy, the maintenance warning prompt, the tree information and the environment information acquired in step S201 and the other tree information and/or environment information acquired after adjusting the information acquisition setting parameters are all sent to the administrator terminal 103.
The tree information collected by the tree maintenance data collection device 101 includes tree position information, tree inclination, trunk image and/or crown image. The collected environmental information comprises real-time environmental video, temperature, humidity, soil water content, soil organic matter content, wind speed and wind direction. When the manager maintains and manages the trees on the spot, the collected tree position information can be convenient for the manager to quickly find the target trees. In addition, the soil water content information can also be obtained by collecting the water content information of the trunk under the bark and then calculating. Obviously, there is a corresponding relationship between the water content of the soil and the water content of the under-bark trunk, and it is known in the art how to calculate the water content of the soil from the water content of the under-bark trunk.
Further, the tree identity information includes tree species and tree age. Because the environmental requirements of trees of different varieties and ages are different, when judging whether the environment of the tree is suitable for the growth of the tree, the variety and age of the tree need to be combined for specific judgment. The cloud server 102 obtains the tree identity information, which may be obtained by obtaining the identity information extracted and written from the tree maintenance data acquisition device 101, or may be set in advance in the cloud server.
Specifically, when the collected tree inclination exceeds a set threshold, the set threshold may be 5 degrees, that is, when the tree inclination is found to be greater than 5 degrees, the cloud server 102 may determine that the tree growth state is abnormal, and has a risk of collapse, and even a situation that the tree is fell may occur. In addition, when the tree is identified to be infected with diseases and insect pests according to the collected real-time tree environment video, the tree trunk image and/or the tree crown image, the unhealthy growth state of the tree can be judged, and therefore the problem of breeding of the diseases and insect pests of the tree can be found in time. Similarly, when the fact that the tree is broken by branches is identified according to the collected real-time environment video, the trunk image and/or the crown image of the tree, or the fact that the tree is damaged by people and is broken by external force is identified, the abnormal growth state of the tree can be judged, so that behaviors harmful to the tree can be found in time, and particularly, the artificial risk of the ancient trees and the famous trees can be found in time.
Further, the cloud server 102 makes an intelligent judgment according to abnormal conditions related to different growing states by combining historical data stored in the cloud and data in an expert system related to tree maintenance, so that different maintenance warning prompts and preliminary maintenance strategies are generated. For example, when the inclination of the tree is found to be greater than 5 degrees, the cloud server 102 may generate an alarm prompt and an initial maintenance strategy for trunk reinforcement of the tree; when the tree is identified to be infected with diseases and insect pests, the cloud server 102 generates an alarm prompt and a preliminary maintenance strategy which can generate an alarm for killing the tree or treating the diseases and insect pests.
Specifically, when it is judged that rainfall does not continuously exist within corresponding preset time according to the collected temperature and humidity information based on the identity information of the trees, it is judged that the environment where the trees are located is not suitable for the growth of the trees; when the rainfall is continuously judged within the corresponding preset time according to the collected temperature and humidity information based on the identity information of the trees, the condition that the trees are in is not suitable for the growth of the trees can be judged. For example, according to the specific variety and age of a certain tree, it is determined that the tree can bear no precipitation for at most one week or continuously has precipitation for one week, and then the corresponding two preset times can be one week, that is, when it is determined that there is no precipitation for one week continuously, the tree is determined to be in a water shortage state; similarly, when it is judged that rainfall continues for a week, the trees are deemed to be at risk of root decay.
Similarly, when the wind speed is judged to exceed the threshold value which is set according to the tree species and can be resisted by the tree according to the collected wind speed information, the environment where the tree is located is judged to be not suitable for the growth of the tree. And when the collected soil water content or soil organic matter content information is judged to exceed a threshold value set according to the tree species, judging that the environment where the tree is located is not suitable for the growth of the tree. In other words, different varieties of trees have different wind resistance and different requirements for soil water content or soil organic matter content, so when judging whether the environment is suitable for growth from aspects of wind speed and soil parameters, the established standard is different and is customized according to the specific varieties.
Further, when it is determined that the tree is in a water shortage state, the cloud server 102 generates an alarm prompt for watering the tree and an initial maintenance strategy. In addition, when it is determined that the tree is at risk of root system decay, the cloud server 102 generates an alarm prompt and an initial maintenance strategy for preventing root system waterlogging and root decay of the tree. When the organic matter content of the soil is judged to be too low, the cloud server 102 generates an alarm prompt for adjusting the soil and a preliminary maintenance strategy.
Specifically, the adjusting of the information acquisition setting parameters by the data acquisition device according to the control signal specifically includes: according to the control signal, the working state (pause, start, sleep mode, high-frequency acquisition mode, conventional mode, etc.) and the acquisition frequency (once every 1 hour, once every 10 minutes, etc.) of each acquisition unit of the data acquisition module of the tree maintenance data acquisition device 101 are adjusted; according to the control signal, the field of view and the pose (shooting angle) of the camera of the data acquisition module of the tree maintenance data acquisition device 101 are adjusted.
Further, in practical applications, the cloud server 102 has two working modes, one is a manual control mode, and the other is an automatic control mode, and which mode the cloud server 102 works in can be selected as required. When the cloud server 102 is in the manual control mode, the cloud server 102 further sends the obtained tree information and environment information, the generated maintenance warning prompt and the preliminary maintenance strategy to the manager terminal 103, so that the manager is reminded of providing maintenance guidance for the manager while the tree needs to be maintained. The manager can see the tree information and the environment information as well as the maintenance warning prompt and the preliminary maintenance strategy received by the manager terminal 103 through the manager terminal 103, further, the manager can further judge what kind of tree information and/or environment information needs to be additionally obtained when the actual maintenance is carried out according to the tree information, the environment information and the initial maintenance strategy, for example, the angle of the camera of the tree care data collecting device 101 needs to be adjusted, an image of a new angle is obtained, and the like, so that the manager can generate a corresponding control signal through the manager terminal 103, the control signal is then sent to the tree care data collection device 101 via the cloud server 102, the control signal can control the tree care data acquisition device 101 to perform certain operations to obtain target information, such as converting the camera shooting angle to obtain a video or a picture of another angle. After the tree maintenance data acquisition device 101 completes operation according to the control signal and acquires additional tree information and/or environment information, the cloud server 102 generates a more complete and accurate target maintenance strategy according to the newly acquired tree information and/or environment information again. Then, the cloud server 102 sends the target maintenance strategy and the newly obtained tree information and/or environment information to the manager terminal 103, so as to provide scientific guidance for the manager to maintain the tree. In addition, the sent tree information and environment information may help the administrator determine and verify whether the maintenance policy generated by the cloud server 102 is reasonable.
Similarly, when the cloud server 102 is in the automatic control mode, the cloud server 102 may directly determine what tree information and/or environment information needs to be additionally acquired when performing actual maintenance according to the generated preliminary maintenance policy, and then generate a corresponding control signal, and further send the control signal to the tree maintenance data acquisition device 101 through the wireless communication network. Similarly, the tree maintenance data collection device 101 performs a certain operation according to the control signal to obtain the target information. After the tree maintenance data acquisition device 101 completes operation according to the control signal and acquires additional tree information and/or environment information, the cloud server 102 generates a more complete and accurate target maintenance strategy according to the newly acquired tree information and/or environment information again. Then, the cloud server 102 sends the target maintenance strategy and the maintenance warning prompt to the manager terminal 103, so that scientific guidance is provided for the manager to maintain the trees. Meanwhile, the tree information and the environment information which are collected at the beginning by the tree maintenance data collection device 101 and the tree information and/or the environment information which are newly obtained later are sent to the administrator terminal 103 together, so that the administrator is reminded of providing maintenance guidance for the administrator while the tree is maintained. In addition, the sent tree information and environment information may help the administrator determine and verify whether the maintenance policy generated by the cloud server 102 is reasonable.
According to the tree maintenance data acquisition method based on the Internet of things, whether the growth state of trees is healthy and whether the environment where the trees are located is suitable for tree growth is judged according to the tree information and the environment information of the trees acquired in real time through the cloud server, and corresponding maintenance alarm prompts and preliminary maintenance strategies are generated, so that the tree maintenance data acquisition device is controlled directly or through a manager terminal, additional information acquisition is carried out, the preliminary maintenance strategies are assisted to be perfected, and therefore perfect and accurate target maintenance strategies are generated to give guidance to managers for tree maintenance. The tree maintenance data acquisition device, the cloud server and the administrator terminal are integrated, and the data information acquisition and intelligent management and control analysis and judgment system based on the Internet of things is formed.
The tree management system can acquire data in real time according to information such as tree inclination, pest breeding, temperature and humidity, which particularly needs to be concerned and monitored in the tree maintenance process, and can timely find out various abnormal tree growth conditions or conditions that the environment is not suitable for growth so as to make proper maintenance and scientific treatment. The tree maintenance data acquisition method based on the Internet of things has very important practical significance in the aspects of saving manpower and material resources, so that the management of trees does not depend on traditional backward artificial visual observation and accidental simple individual subjective judgment any more, the expense of managers can be reduced, and the tree maintenance data acquisition method based on the Internet of things has advancement, reliability, popularization and economic practicality.
Example two
In this embodiment, as shown in fig. 3, another method for collecting tree maintenance data based on the internet of things is provided, and for example, the method is applied to the tree maintenance data collecting device 101 in fig. 1, and includes the following steps:
step S301, collecting tree information and environment information, and sending the collected data to the cloud server 102;
step S302, when the cloud server 102 judges that the growth state of the tree is abnormal and/or judges that the environment where the tree is located is not suitable for the growth of the tree based on the tree identity information and the collected tree information and environment information, and generates a corresponding maintenance warning prompt and a preliminary maintenance strategy, the information collection setting parameters are adjusted in response to a control signal sent by the cloud server 102, and the corresponding tree information and/or environment information is collected and sent to the cloud server.
The tree information collected by the tree maintenance data collection device 101 includes tree position information, tree inclination, trunk image and/or crown image. The collected environmental information comprises real-time environmental video, temperature, humidity, soil water content, soil organic matter content, wind speed and wind direction. When the manager maintains and manages the trees on the spot, the collected tree position information can be convenient for the manager to quickly find the target trees. In addition, the soil water content information can also be obtained by collecting the water content information of the trunk under the bark and then calculating. Obviously, there is a corresponding relationship between the water content of the soil and the water content under the bark of the trunk, and how to calculate the water content of the soil from the water content under the bark and the trunk is a knowledge well known in the art.
Further, the tree identity information includes tree species and tree age. Because the environmental requirements of trees of different varieties and ages are different, when judging whether the environment of the tree is suitable for the growth of the tree, the variety and age of the tree need to be combined for specific judgment. The cloud server 102 obtains the tree identity information, which may be obtained by obtaining the identity information extracted and written from the tree maintenance data acquisition device 101, or may be set in advance in the cloud server.
Specifically, when the inclination of the tree collected by the tree maintenance data collection device 101 exceeds a set threshold, the set threshold may be 5 degrees, that is, when the inclination of the tree is found to be greater than 5 degrees, the cloud server determines that the growth state of the tree is abnormal according to the value 102, so that the tree has a risk of collapse, and even the situation that the tree is felled may occur. In addition, when the cloud server identifies that the tree is infected with diseases and insect pests according to the collected real-time environment video, the trunk image and/or the crown image of the tree at 102, the unhealthy growth state of the tree can be judged, and therefore the problem of breeding of the diseases and insect pests of the tree can be found in time. Similarly, when the cloud server identifies that the tree has a branch broken according to the collected tree real-time environment video, the tree trunk image and/or the tree crown image 102, or identifies that the tree is being damaged by people and is damaged by external force, the abnormal growth state of the tree can be also judged, so that behaviors harmful to the tree can be found in time, and particularly, the artificial risk of the tree can be found in time to be necessary for precious trees such as ancient trees and famous trees.
Further, the cloud server 102 makes an intelligent judgment according to abnormal conditions related to different growing states by combining historical data stored in the cloud and data in an expert system related to tree maintenance, so that different maintenance warning prompts and preliminary maintenance strategies are generated. For example, when the inclination of the tree is found to be greater than 5 degrees, the cloud server 102 may generate an alarm prompt and an initial maintenance strategy for trunk reinforcement of the tree; when the tree is identified to be infected with diseases and insect pests, the cloud server 102 generates an alarm prompt and a preliminary maintenance strategy which can generate an alarm for killing the tree or treating the diseases and insect pests.
Specifically, when it is determined that there is no continuous rainfall within a corresponding preset time according to the collected temperature and humidity information based on the identity information of the trees, the cloud server 102 may determine that the environment where the trees are located is not suitable for the growth of the trees; when it is determined that rainfall continues within a corresponding preset time based on the identity information of the trees and according to the collected temperature and humidity information, the cloud server 102 may also determine that the environment where the trees are located is not suitable for the growth of the trees. For example, according to the specific variety and age of a certain tree, it is determined that the tree can bear no precipitation for at most one week or continuously has precipitation for one week, and then the corresponding two preset times can be one week, that is, when it is determined that there is no precipitation for one week continuously, the tree is determined to be in a water shortage state; similarly, when it is judged that rainfall continues for a week, the trees are deemed to be at risk of root decay.
Similarly, when the wind speed is judged to exceed the threshold value which is set according to the tree species and can be resisted by the tree according to the collected wind speed information, the environment where the tree is located is judged to be not suitable for the growth of the tree. And when the collected soil water content or soil organic matter content information is judged to exceed a threshold value set according to the tree species, judging that the environment where the tree is located is not suitable for the growth of the tree. In other words, different varieties of trees have different wind resistance and different requirements for soil water content or soil organic matter content, so when judging whether the environment is suitable for growth from aspects of wind speed and soil parameters, the established standard is different and is customized according to the specific varieties.
Further, when it is determined that the tree is in a water shortage state, the cloud server 102 generates an alarm prompt for watering the tree and an initial maintenance strategy. When judging that the tree has a risk of root system rot, the cloud server 102 generates an alarm prompt and an initial maintenance strategy for preventing root system water from rotting the root of the tree. When the organic matter content of the soil is judged to be too low, the cloud server 102 generates an alarm prompt for adjusting the soil and a preliminary maintenance strategy.
Specifically, the adjusting of the information collection setting parameter includes:
according to the control signal, the working state (pause, start, sleep mode, high-frequency acquisition mode, conventional mode, etc.) and the acquisition frequency (acquisition once every 1 hour, acquisition once every 10 minutes, etc.) of each acquisition unit of the data acquisition module are adjusted; and adjusting the view field and the pose (shooting angle) of the camera of the data acquisition module according to the control signal.
Further, when the cloud server 102 is in the manual control mode, the cloud server 102 further sends the obtained tree information, the environment information, the generated maintenance warning prompt and the preliminary maintenance strategy to the manager terminal 103, so that the manager is reminded of providing maintenance guidance for the manager while the tree needs to be maintained. The manager can see the tree information and the environment information as well as the maintenance warning prompt and the preliminary maintenance strategy received by the manager terminal 103 through the manager terminal 103, further, the manager can further judge what kind of tree information and/or environment information needs to be additionally obtained when the actual maintenance is carried out according to the tree information, the environment information and the initial maintenance strategy, for example, the angle of the camera of the tree care data collecting device 101 needs to be adjusted, an image of a new angle is obtained, and the like, so that the manager can generate a corresponding control signal through the manager terminal 103, the control signal is then sent to the tree care data collection device 101 via the cloud server 102, the control signal can control the tree care data acquisition device 101 to perform certain operations to obtain target information, such as converting the camera shooting angle to obtain a video or a picture of another angle. Further, the tree maintenance data collection device 101 completes corresponding operations according to the control signal to collect additional tree information and/or environment information, and sends the collected new tree information and/or environment information to the cloud server 102. The cloud server 102 may generate a more complete and accurate target maintenance strategy according to the newly obtained tree information and/or environment information again. Then, the cloud server 102 sends the target maintenance strategy and the newly obtained tree information and/or environment information to the manager terminal 103, so as to provide scientific guidance for the manager to maintain the tree. In addition, the sent tree information and environment information may help the administrator determine and verify whether the maintenance policy generated by the cloud server 102 is reasonable.
Similarly, when the cloud server 102 is in the automatic control mode, the cloud server 102 may directly determine what tree information and/or environment information needs to be additionally acquired when performing actual maintenance according to the generated preliminary maintenance policy, and then generate a corresponding control signal, and further send the control signal to the tree maintenance data acquisition device 101 through the wireless communication network. Similarly, the tree maintenance data collection device 101 may complete a certain operation according to the control signal to obtain the target information, and send the collected new tree information and/or environment information to the cloud server 102. The cloud server 102 may generate a more complete and accurate target maintenance strategy according to the newly obtained tree information and/or environment information again. Then, the cloud server 102 sends the target maintenance strategy and the maintenance warning prompt to the manager terminal 103, so that scientific guidance is provided for the manager to maintain the trees. Meanwhile, the tree information and the environment information which are collected at the beginning by the tree maintenance data collection device 101 and the tree information and/or the environment information which are newly obtained later are sent to the administrator terminal 103 together, so that the administrator is reminded of providing maintenance guidance for the administrator while the tree is maintained. In addition, the sent tree information and environment information may help the administrator determine and verify whether the maintenance policy generated by the cloud server 102 is reasonable.
According to the tree maintenance data acquisition method based on the Internet of things, the tree information and the environment information acquired in real time are sent to the cloud server, after the cloud server judges whether the growth state of a tree is healthy and whether the environment where the tree is located is suitable for tree growth, the information acquisition setting parameters are changed to acquire other tree information/environment information in response to a control signal sent by the cloud server, and the information is provided for the cloud server to generate a final maintenance strategy for use, so that a tree maintenance data acquisition device, the cloud server and a manager terminal are integrated, and a data information acquisition and intelligent management and control analysis judgment system based on the Internet of things is formed.
The tree management system can acquire data in real time according to information such as tree inclination, pest breeding, temperature and humidity, which particularly needs to be concerned and monitored in the tree maintenance process, and can timely find out various abnormal tree growth conditions or conditions that the environment is not suitable for growth so as to make proper maintenance and scientific treatment. The tree maintenance data acquisition method based on the Internet of things has very important practical significance in the aspects of saving manpower and material resources, so that the management of trees does not depend on traditional backward artificial visual observation and accidental simple individual subjective judgment any more, the expense of managers can be reduced, and the tree maintenance data acquisition method based on the Internet of things has advancement, reliability, popularization and economic practicality.
It should be understood that although the steps in the flowcharts of fig. 2 and 3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2 and 3 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
EXAMPLE III
In this embodiment, as shown in fig. 4, a tree maintenance data collecting device is provided, which includes the following modules:
a data acquisition module 401, configured to acquire tree information and environment information of a tree;
a wireless communication module 402, configured to establish a wireless communication connection with a cloud server and other tree maintenance data acquisition devices;
a memory module 403 for storing the collected data, control signals and program code.
The processor module 404 is configured to run a program code to implement the tree maintenance data acquisition method based on the internet of things provided in the second embodiment;
and the power module 405 is used for providing electric energy for each electricity utilization module in the tree maintenance data acquisition device, and the power module can adopt a solar power supply mode.
Specifically, the data acquisition module 401, the wireless communication module 402, the memory module 403, and the power module 405 are electrically connected to the processor module 404, respectively.
Further, the data acquisition module 401 specifically includes:
the positioning module is used for acquiring the position information of the tree;
the camera is used for acquiring a trunk image and/or a crown image of the tree and a real-time environment video;
the gyroscope is used for acquiring the inclination of the tree;
the temperature and humidity sensor is used for acquiring the ambient temperature and humidity;
the moisture sensor is used for collecting the moisture content of the trunk under the bark and then providing the moisture content to the cloud server to calculate the moisture content of the soil;
and the wind speed and direction sensor is used for acquiring wind speed and wind direction.
Stated differently, the tree information collected by the data collection module 401 includes tree position information, tree inclination, trunk image, and/or crown image. The collected environmental information comprises real-time environmental video, temperature, humidity, soil water content, soil organic matter content, wind speed and wind direction. When the manager maintains and manages the trees on the spot, the collected tree position information can be convenient for the manager to quickly find the target trees.
Further, this data acquisition device can be according to the control signal adjustment information acquisition setting parameter that the high in the clouds server sent, specifically includes: according to the control signal, the working state (pause, start, sleep mode, high-frequency acquisition mode, normal mode, etc.) and the acquisition frequency (acquisition once every 1 hour, acquisition once every 10 minutes, etc.) of each acquisition unit of the data acquisition module 401 are adjusted; according to the control signal, the view field and the pose (shooting angle) of the camera of the data acquisition module 401 are adjusted.
Further, a tree identity chip is arranged in the tree maintenance data acquisition device and used for writing tree identity information in advance. The tree identity information comprises tree varieties and tree ages and can provide a basis for judging whether the growth state of the tree is healthy or not and judging whether the environment where the tree is located is suitable for tree growth or not for the cloud server.
Further, the tree maintenance data acquisition device is a device similar to a size and a shape of a smart phone formed by integrating a camera, a gyroscope and a plurality of sensors, and can be fixed on a trunk. When fixing the tree maintenance data acquisition device, it is necessary to ensure that the moisture sensor is inserted into the trunk, and the moisture content of the trunk under the bark can be measured. Therefore, after the cloud server acquires the collected water content information of the trunk under the bark, whether the growth state of the tree is healthy or not and whether the environment where the tree is located is suitable for tree growth or not can be judged, the soil water content information is obtained through calculation of the water content of the trunk under the bark, and then further judgment is carried out.
Consider that tree maintenance information acquisition environment is changeable, complicated scheduling problem, in a region, when having arranged a plurality of trees maintenance data acquisition devices, based on the wireless communication connection between the trees maintenance data acquisition device, every trees maintenance data acquisition device except possessing information acquisition, handle, the function of sending, still can provide the function of route for other trees maintenance data acquisition device, help other trees maintenance data acquisition device and high in the clouds server to communicate, in order to conveniently realize a distributing type wireless sensor network.
For specific functional limitations of the tree maintenance data acquisition device, reference may be made to two limitations of the above-mentioned embodiment to a tree maintenance data acquisition method based on the internet of things, which are not described herein again.
The tree maintenance data acquisition device that this embodiment provided can gather trees information and environmental information in real time, and then sends the data of gathering for the processing of high in the clouds server through wireless sensor network, GPRS network or internet, assists the high in the clouds server to generate the maintenance strategy to the realization is to the real-time and efficient management of trees. This kind of trees maintenance data acquisition device has very important realistic meaning in the aspect of using manpower sparingly and material resources for no longer rely on artifical visual observation and the simple individual subjective judgement of occasional formula behind the tradition to the management of trees, can reduce managers and hire the expense, therefore this trees maintenance data acquisition device has advance, reliability, can promote nature and economical and practical nature.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A tree maintenance data acquisition method based on the Internet of things is applied to a cloud server, and comprises the following steps:
continuously acquiring tree information and environment information acquired by a tree maintenance data acquisition device;
judging whether the growth state of the tree is healthy or not and judging whether the environment where the tree is located is suitable for the growth of the tree or not according to the collected tree information and environment information based on the tree identity information;
when the abnormal growth state of the tree is judged and/or the environment where the tree is located is judged not to be suitable for the growth of the tree, generating a corresponding maintenance warning prompt and a preliminary maintenance strategy;
if the cloud server is in a manual control mode, sending the obtained tree information, environment information, maintenance warning prompt and preliminary maintenance strategy to a manager terminal, and then sending a control signal sent by the manager terminal to the data acquisition device; on the basis of the preliminary maintenance strategy, combining tree information and/or environment information acquired after the data acquisition device adjusts information acquisition setting parameters according to control signals to generate a target maintenance strategy, and transmitting the target maintenance strategy and information acquired after the information acquisition setting parameters are adjusted to a manager terminal;
if the cloud server is in an automatic control mode, generating a corresponding control signal according to the preliminary maintenance strategy, and then sending the control signal to the data acquisition device; on the basis of the preliminary maintenance strategy, a target maintenance strategy is generated by combining the tree information and/or the environment information acquired after the data acquisition device adjusts the information acquisition setting parameters according to the control signals, and the target maintenance strategy, the maintenance warning prompt and the acquired tree information and environment information are all sent to the manager terminal.
2. The internet of things-based tree maintenance data collection method of claim 1, wherein the tree information comprises: tree position information, tree inclination, trunk image and/or crown image; the environment information includes: real-time environment video, temperature, humidity, soil water content, soil organic matter content, wind speed and wind direction.
3. The internet of things-based tree maintenance data collection method of claim 1, wherein the tree identity information comprises tree varieties and tree ages.
4. The internet of things-based tree maintenance data acquisition method according to claim 2, wherein when the acquired inclination of the tree exceeds a set threshold value, it is determined that the growth state of the tree is abnormal; when the tree is identified to be infected with diseases and insect pests according to the real-time environment video, the trunk image and/or the crown image of the tree, judging that the growth state of the tree is abnormal; and when the tree is broken or artificially damaged according to the real-time environment video, the trunk image and/or the crown image of the tree, judging that the growth state of the tree is abnormal.
5. The internet of things-based tree maintenance data acquisition method according to claim 2, wherein when it is determined that there is no continuous rainfall within a corresponding preset time based on the tree identity information according to the acquired temperature and humidity information, it is determined that the environment in which the tree is located is not suitable for tree growth; when the rainfall is judged to be continuously rained within the corresponding preset time according to the collected temperature and humidity information based on the tree identity information, judging that the environment where the tree is located is not suitable for the growth of the tree; when the wind speed is judged to exceed a tree resistance threshold set according to the tree species according to the collected wind speed information, judging that the environment of the tree is not suitable for the growth of the tree; and when the collected soil water content or soil organic matter content information is judged to exceed a threshold value set according to the tree species, judging that the environment where the tree is located is not suitable for the growth of the tree.
6. A tree maintenance data acquisition method based on the Internet of things is characterized by being applied to a tree maintenance data acquisition device, and the method comprises the following steps:
collecting tree information and environment information, and sending the collected data to a cloud server;
when the cloud server judges that the growth state of the trees is abnormal and/or judges that the environment where the trees are located is not suitable for the growth of the trees according to the collected tree information and environment information based on the tree identity information and generates a corresponding maintenance warning prompt and a preliminary maintenance strategy, the cloud server adjusts information collection setting parameters in response to a control signal sent by the cloud server, collects the corresponding tree information and/or environment information and sends the information to the cloud server.
7. The internet of things-based tree maintenance data collection method of claim 6, wherein the adjusting of information collection setting parameters comprises:
adjusting the working state and the acquisition frequency of each acquisition unit of the data acquisition module according to the control signal;
and adjusting the view field and the pose of a camera of the data acquisition module according to the control signal.
8. A tree maintenance data acquisition device, comprising:
the data acquisition module is used for acquiring tree information and environment information of trees;
the wireless communication module is used for establishing wireless communication connection with the cloud server and other tree maintenance data acquisition devices;
the memory module is used for storing the acquired data, the control signal and the program code;
a processor module for running program code to implement the method of claim 6 or 7 for tree maintenance data collection based on the internet of things;
and the power module is used for providing electric energy for each electricity utilization module in the tree maintenance data acquisition device.
9. The tree maintenance data collection device of claim 8, wherein the data collection module specifically comprises:
the positioning module is used for acquiring the position information of the tree;
the camera is used for acquiring a trunk image and/or a crown image of the tree and a real-time environment video;
the gyroscope is used for acquiring the inclination of the tree;
the temperature and humidity sensor is used for collecting the ambient temperature and humidity;
the moisture sensor is used for collecting the moisture content of the trunk under the bark and then providing the moisture content to the cloud server to calculate the moisture content of the soil;
and the wind speed and direction sensor is used for acquiring wind speed and wind direction.
10. The tree maintenance data collection device of claim 9, wherein a tree identification chip is embedded in the tree maintenance data collection device and is used for pre-writing tree identification information.
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