CN116504021A - Forest rare tree monitoring and early warning system - Google Patents
Forest rare tree monitoring and early warning system Download PDFInfo
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- CN116504021A CN116504021A CN202310546556.XA CN202310546556A CN116504021A CN 116504021 A CN116504021 A CN 116504021A CN 202310546556 A CN202310546556 A CN 202310546556A CN 116504021 A CN116504021 A CN 116504021A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention discloses a forest rare tree monitoring and early warning system, which relates to the technical field of forest early warning and comprises a Lora module, a Lora base station, a data acquisition module, a cloud server and a background server; the Lora module is internally provided with a 4G module, is implanted in rare trees, and transmits data in real time by utilizing a Lora base station; the cloud server is used for receiving the data sent by the data acquisition module in real time, encrypting the data and then sending the encrypted data to the background server; the background server is used for receiving the data sent by the cloud server in real time, analyzing the data after decryption, judging whether the rare trees are cut down or have dangerous fire situations, and if yes, sending early warning information and the position data of the rare trees to the user terminal. The invention can also realize the monitoring and early warning of rare trees in deep forests under the condition that 4G signals cannot be covered, has low power consumption, and improves the universality and the durability because the distance of propagation is longer than that of propagation in other wireless modes under the same power consumption condition.
Description
The invention relates to a divisional application of a forest rare tree monitoring and early warning system, wherein the application number of the main application is 201910379956.X, and the application date is 2019.05.08.
Technical Field
The invention relates to the technical field of forest early warning, in particular to a forest rare tree monitoring and early warning system.
Background
In recent years, along with the development of industry, the ecological environment is also damaged to a certain extent, so that the protection of the ecological environment is more and more important. The protection of the ecological environment is mainly realized in the monitoring and early warning of forest trees, in particular to the monitoring and early warning of rare trees. At present, the monitoring and early warning of forest rare trees is mainly realized by implanting the 4G module into the rare trees, and under the condition that 4G signals cannot be covered, the monitoring and early warning mode is not applicable, and the service time is not long due to relatively large power consumption of the 4G module.
Disclosure of Invention
The invention provides a forest rare tree monitoring and early warning system, which can monitor and early warn deep forest rare trees under the condition that 4G signals cannot be covered, and has low power consumption.
To achieve the above object, the present application provides the following solutions:
a forest rare tree monitoring and early warning system comprises a Lora module, a Lora base station, a data acquisition module, a cloud server and a background server;
the Lora module is internally provided with a 4G module and is implanted in rare trees; the Lora module is used for transmitting data in real time by utilizing the Lora base station; the Lora base station is arranged in a range set by a distance forest; the model of the Lora module is SX1301;
the cloud server is used for receiving the data sent by the data acquisition module in real time, encrypting the data and then sending the data to the background server;
the background server is used for:
receiving data sent by the cloud server in real time, decrypting the data, and then analyzing the data; the data sent by the cloud server comprises video data around rare trees, displacement data of the rare trees in the horizontal direction, angle data between the rare trees and the ground, temperature data around the rare trees and position data of the rare trees;
judging whether people exist near the rare tree according to the video data around the rare tree; if yes, judging whether the displacement data of the rare tree in the horizontal direction is larger than a set threshold value, if yes, judging whether the angle data between the rare tree and the ground is smaller than the set threshold value, and if yes, determining that the rare tree is cut down;
judging whether the temperature data around the rare tree is larger than a set threshold value, if so, determining that the rare tree has fire danger;
and when the rare trees are cut down or fire danger exists, sending early warning information and position data of the rare trees to a user terminal.
Optionally, the data acquisition module specifically includes an image sensor, a temperature sensor, a positioning sensor, a displacement sensor and an inclination sensor;
the image sensor is used for collecting video data around rare trees in real time and sending the video data to the cloud server;
the temperature sensor is used for collecting temperature data around rare trees in real time and sending the temperature data to the cloud server;
the positioning sensor is used for collecting position data of rare trees in real time;
the displacement sensor is used for monitoring displacement data of the rare tree in the horizontal direction and sending the displacement data to the cloud server;
the inclination sensor is used for monitoring angle data between the rare trees and the ground and sending the angle data to the cloud server.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention discloses a forest rare tree monitoring and early warning system which comprises a Lora module, a Lora base station, a data acquisition module, a cloud server and a background server, wherein the monitoring and early warning of the forest rare tree can be realized even if 4G signals cannot be covered through data transmission among the Lora module, the Lora base station, the cloud server and the background server, the power consumption is low, the distance of the forest rare tree is farther than that of other wireless modes under the same power consumption condition, the unification of low power consumption and long distance is realized, and the universality and the durability are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of the forest rare tree monitoring and early warning system of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention will be further described in detail with reference to the drawings and detailed description below in order to make the objects, features and advantages of the invention more comprehensible.
Referring to fig. 1, a forest rare tree monitoring and early warning system provided by an embodiment of the invention includes: lora module, lora basic station, data acquisition module, cloud server and backstage server. The Lora module is internally provided with a 4G module, is implanted in rare trees and is used for transmitting data in real time by utilizing a Lora base station; the Lora base station is arranged in a range set from the forest. The data acquisition module comprises an image sensor, a temperature sensor, a positioning sensor, a displacement sensor and an inclination sensor.
The image sensor is used for collecting video data around the rare trees in real time and sending the video data to the cloud server; the temperature sensor is used for collecting temperature data around rare trees in real time and sending the temperature data to the cloud server; the positioning sensor is used for collecting the position data of each rare tree in real time; the displacement sensor is used for monitoring displacement data of the rare tree in the horizontal direction and sending the displacement data to the cloud server; the inclination angle sensor is used for monitoring angle data between the rare trees and the ground and sending the angle data to the cloud server.
The cloud server is used for receiving the data sent by the data acquisition module in real time, encrypting the data and then sending the data to the background server.
The background server is used for receiving the data sent by the cloud server in real time, decrypting the data, analyzing the data, judging whether rare trees are cut down or have dangerous fire situations, and if yes, sending early warning information and the position data of the rare trees to the client.
Preferably, the backend server is specifically configured to: judging whether people exist near the rare trees according to the video data; if yes, judging whether the displacement data is larger than a set threshold value, if yes, further judging whether the angle data is smaller than the set threshold value, and if yes, determining that the rare trees are cut down.
The background server is also used for: judging whether the temperature data is larger than a set threshold value, if so, determining that the rare trees have dangerous fire situations.
In a specific embodiment, the Lora module model number is SX1301.
The forest rare tree early warning system provided by the embodiment of the invention comprises the Lora module, the Lora base station, the data acquisition module, the cloud server and the background server, so that the monitoring and early warning of the deep forest rare trees can be realized under the condition that 4G signals cannot be covered, the power consumption is low, the propagation distance is farther than that of other wireless modes under the same power consumption condition, the unification of low power consumption and long distance is realized, and the universality and the durability are improved.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
It will be appreciated that the relevant features of the methods and apparatus described above may be referenced to one another. In addition, the "first", "second", and the like in the above embodiments are for distinguishing the embodiments, and do not represent the merits and merits of the embodiments.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general-purpose systems may also be used with the teachings herein. The required structure for a construction of such a system is apparent from the description above. In addition, the present invention is not directed to any particular programming language. It will be appreciated that the teachings of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present invention.
Furthermore, the memory may include volatile memory, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), in a computer readable medium, the memory including at least one memory chip.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash memory (flashRAM). Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (2)
1. A forest rare tree monitoring and early warning system is characterized by comprising a Lora module, a Lora base station, a data acquisition module, a cloud server and a background server;
the Lora module is internally provided with a 4G module and is implanted in rare trees; the Lora module is used for transmitting data in real time by utilizing the Lora base station; the Lora base station is arranged in a range set by a distance forest; the model of the Lora module is SX1301;
the cloud server is used for receiving the data sent by the data acquisition module in real time, encrypting the data and then sending the data to the background server;
the background server is used for:
receiving data sent by the cloud server in real time, decrypting the data, and then analyzing the data; the data sent by the cloud server comprises video data around rare trees, displacement data of the rare trees in the horizontal direction, angle data between the rare trees and the ground, temperature data around the rare trees and position data of the rare trees;
judging whether people exist near the rare tree according to the video data around the rare tree; if yes, judging whether the displacement data of the rare tree in the horizontal direction is larger than a set threshold value, if yes, judging whether the angle data between the rare tree and the ground is smaller than the set threshold value, and if yes, determining that the rare tree is cut down;
judging whether the temperature data around the rare tree is larger than a set threshold value, if so, determining that the rare tree has fire danger;
and when the rare trees are cut down or fire danger exists, sending early warning information and position data of the rare trees to a user terminal.
2. The forest rare tree monitoring and early warning system according to claim 1, wherein the data acquisition module specifically comprises an image sensor, a temperature sensor, a positioning sensor, a displacement sensor and an inclination sensor;
the image sensor is used for collecting video data around rare trees in real time and sending the video data to the cloud server;
the temperature sensor is used for collecting temperature data around rare trees in real time and sending the temperature data to the cloud server;
the positioning sensor is used for collecting position data of rare trees in real time;
the displacement sensor is used for monitoring displacement data of the rare tree in the horizontal direction and sending the displacement data to the cloud server;
the inclination sensor is used for monitoring angle data between the rare trees and the ground and sending the angle data to the cloud server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310546556.XA CN116504021A (en) | 2019-05-08 | 2019-05-08 | Forest rare tree monitoring and early warning system |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310546556.XA CN116504021A (en) | 2019-05-08 | 2019-05-08 | Forest rare tree monitoring and early warning system |
| CN201910379956.XA CN109979157A (en) | 2019-05-08 | 2019-05-08 | The rare tree monitoring of forest and early warning system |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201910379956.XA Division CN109979157A (en) | 2019-05-08 | 2019-05-08 | The rare tree monitoring of forest and early warning system |
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| CN116504021A true CN116504021A (en) | 2023-07-28 |
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| CN202310546556.XA Pending CN116504021A (en) | 2019-05-08 | 2019-05-08 | Forest rare tree monitoring and early warning system |
| CN201910379956.XA Pending CN109979157A (en) | 2019-05-08 | 2019-05-08 | The rare tree monitoring of forest and early warning system |
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| CN111064929A (en) * | 2019-12-16 | 2020-04-24 | 佛山科学技术学院 | Video data acquisition system based on LoRa wireless transmission |
| CN116168510A (en) * | 2020-10-13 | 2023-05-26 | 广西贺州市网源科技有限公司 | Low-power consumption multidimensional natural disaster early warning system |
| CN113870529B (en) * | 2021-08-23 | 2023-06-09 | 湖北工程学院 | Garden monitoring method, device and equipment for coping with strong wind and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US6037875A (en) * | 1999-04-05 | 2000-03-14 | Moser; Donald A. | Method and apparatus for providing notification of the falling motion of a tree |
| CN204578786U (en) * | 2015-04-21 | 2015-08-19 | 福州林景行信息技术有限公司 | The ancient and well-known trees guard against theft and alarm system of position-based transducer |
| CN205665817U (en) * | 2016-05-09 | 2016-10-26 | 东北林业大学 | Rare trees burglar alarm |
| CN106373318B (en) * | 2016-10-27 | 2018-04-20 | 深圳乐创信息通讯技术有限公司 | Fire prevention and control system based on LoRa technologies |
| CN107545715A (en) * | 2017-09-01 | 2018-01-05 | 合肥移顺信息技术有限公司 | A kind of forest is fell trees unlawfully monitoring device |
| CN109377699A (en) * | 2018-12-04 | 2019-02-22 | 徐州登蓓莱智能科技有限公司 | A kind of anti-device and its application method of felling trees unlawfully for trees |
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