CN114189538A - Forestry data monitoring cloud platform, method and storage medium - Google Patents
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Abstract
The invention relates to the field of forestry monitoring, in particular to a forestry data monitoring cloud platform, a method and a storage medium, wherein the forestry data monitoring cloud platform comprises a cloud platform and a plurality of monitoring ends, each monitoring end comprises a data acquisition module and a communication module, the monitoring ends can form an ad hoc network through the communication modules, and the monitoring ends are wirelessly connected with the cloud platform through the communication modules; according to the scheme, positioning data, environment data, audio data and hyperspectral images of a target area are collected through a monitoring end and uploaded to a cloud platform through a communication module, so that remote monitoring of forestry data is achieved; and then, a fire hazard level, a theft cutting behavior and a disease and pest degree of a target area are analyzed by a fire analysis module, a theft cutting analysis module and a disease and pest analysis module in the cloud platform, so that the monitoring and analysis of forest fires, artificial destruction and forest pests are realized, the workload of workers is reduced, and the real-time monitoring and analysis of target area forestry data are realized.
Description
Technical Field
The invention relates to the field of forestry monitoring, in particular to a forestry data monitoring cloud platform, a method and a storage medium.
Background
Forestry data monitoring is the basis of forest resource protection and management, is the important guarantee that builds modern forestry, realizes forest scientific operation. However, most of the traditional forestry data monitoring is manual monitoring, a large amount of manpower and material resources are consumed for on-site survey, the monitoring difficulty is high, the cost is high, the monitoring data are dispersed, and continuous real-time monitoring is difficult to achieve, so that the fire hazard and the disease and insect pest conditions in the forest are difficult to obtain by people in real time, and once a large-scale fire or insect pest occurs in the forest, the forest resources are greatly lost. Therefore, there is a need for a monitoring system that is capable of real-time data acquisition and analysis of forestry data.
Disclosure of Invention
The invention has the technical problems that the traditional forestry data monitoring is difficult to realize continuous real-time monitoring, so that the fire hazard and the pest and disease damage condition in forests are difficult to acquire by people in real time, and once large-scale fire or pest damage occurs in the forests, great loss is caused to forest resources.
The basic scheme provided by the invention is as follows: forestry data monitoring cloud platform, including monitoring end and cloud platform, its characterized in that: the monitoring end comprises a data acquisition module and a communication module, and the cloud platform comprises a fire analysis module, a steal and fell analysis module and a disease and pest analysis module;
the monitoring end is wirelessly connected with the cloud platform through a communication module, and the data acquisition module comprises a positioning module, an environment acquisition module, an audio acquisition module and a spectrum acquisition module;
the positioning module is used for acquiring positioning data of a monitoring end, the environment acquisition module is used for acquiring environment data of a target area, the audio acquisition module is used for acquiring audio data of the target area, and the spectrum acquisition module is used for acquiring a hyperspectral image of the target area;
the fire analysis module is used for analyzing the fire hazard level of the target area according to the environmental data and the audio data; the theft-cutting analysis module is used for judging whether theft-cutting behavior exists in the target area according to the audio data; the disease and insect damage analysis module is used for analyzing the disease and insect damage degree of the target area according to the hyperspectral image.
The principle and the advantages of the invention are as follows: in the scheme, positioning data, environmental data, audio data and hyperspectral images of a target area are collected through a monitoring end and uploaded to a cloud platform through a communication module, so that remote monitoring of forestry data is realized; and the fire hazard level, the theft logging behavior and the pest and disease damage degree of the target area are analyzed by the fire analysis module, the theft logging analysis module and the pest and disease damage analysis module, so that the monitoring and analysis of forest fires, artificial destruction and forest pests are realized, the workload of workers is reduced, and the real-time monitoring and analysis of target area forestry data are realized.
Further, the environment acquisition module comprises a temperature sensor, a humidity sensor, an illumination intensity sensor and a smoke concentration sensor; the environmental data includes temperature data, humidity data, light intensity data, and smoke concentration data.
Has the advantages that: and the various sensors are adopted to carry out more comprehensive data acquisition on the forest environment, so that the subsequent analysis result is more accurate.
Further, the fire analysis module comprises a hidden danger assessment module, a fire judgment module and a fire area defining module;
the hidden danger evaluation module is used for evaluating the fire hidden danger level according to the temperature data, the humidity data and the illumination data;
the fire judgment module is used for judging whether a fire disaster occurs in a target area according to the temperature data, the illumination data, the smoke concentration data and the audio data;
the fire area defining module is used for generating a fire area according to the judgment result of the fire judging module when a fire happens.
Has the advantages that: by evaluating the fire hazard level, a user can carry out fire prevention treatment on a corresponding area in advance, so that the occurrence of fire is avoided in advance; the fire judgment module and the fire disaster range definition module can timely feed back the influence range of the forest fire to the user after the fire happens, so that the user can timely judge the fire condition and collect reasonable measures to carry out fire suppression work.
And the fire alarm module is used for sending fire alarm to the user according to the fire hidden danger level and the fire judgment result.
Has the advantages that: and alarming is timely sent to the user through fire alarming, so that the user can timely know the danger degree of the fire hidden danger and the range of the forest fire.
Further, the theft and felling analysis module comprises an audio recognition module and a person number evaluation module;
the audio identification module is used for identifying whether the target area has a stealing and felling behavior according to the audio data;
the number evaluation module is used for evaluating the number of crime persons in the target area according to the audio data when the stealing and felling behaviors occur.
Has the advantages that: whether the target area has the behavior of cutting down by theft is analyzed through the collected audio data, and the number of crime persons in the target area is evaluated when the behavior occurs, so that the working personnel can make appropriate measures according to the number of the persons on the other side, and the working personnel can be prevented from being threatened safely when the working personnel go to the stop.
Further, the intelligent monitoring system also comprises an alarm module, wherein the alarm module is used for giving an alarm to a user when the stealing and felling behaviors are identified.
Has the advantages that: when the stealing and felling behaviors are identified through the alarm module, an alarm is sent to a user in time, the user is prevented from missing messages, and the forest resource loss is excessive.
Further, the pest and disease analysis module comprises a tree species data acquisition module, a vegetation index analysis module and a pest and disease evaluation module;
the tree species data acquisition module is used for acquiring tree species information of a target area;
the vegetation index analysis module is used for analyzing the vegetation index of the target area according to the hyperspectral image;
and the pest and disease damage evaluation module is used for evaluating pest and disease damage degree according to the tree species information and the vegetation index of the target area.
Has the advantages that: the pest and disease damage degree is analyzed through the vegetation index corresponding to the tree species, and remote monitoring of the pest and disease damage condition of the forest area is achieved.
Further, the disease and insect pest analysis module further comprises a disease and insect pest area defining module, and the disease and insect pest area defining module is used for generating a forest area disease and insect pest distribution schematic diagram according to the disease and insect pest degree of each area.
Has the advantages that: let the user know the insect pest condition in each region in forest zone in real time through the forest zone plant diseases and insect pests distribution schematic diagram, let the user in time make the deinsectization measure, prevent that the insect pest from further expanding, cause too much forest resource loss.
The forestry data monitoring method adopts any one of the forestry data monitoring cloud platforms.
Has the advantages that: in the scheme, positioning data, environmental data, audio data and hyperspectral images of a target area are collected through a monitoring end and uploaded to a cloud platform through a communication module, so that remote monitoring of forestry data is realized; and the fire hazard level, the theft logging behavior and the pest and disease damage degree of the target area are analyzed by the fire analysis module, the theft logging analysis module and the pest and disease damage analysis module, so that the monitoring and analysis of forest fires, artificial destruction and forest pests are realized, the workload of workers is reduced, and the real-time monitoring and analysis of target area forestry data are realized.
Forestry data monitoring storage medium has adopted any one forestry data monitoring cloud platform above-mentioned.
Has the advantages that: in the scheme, positioning data, environmental data, audio data and hyperspectral images of a target area are collected through a monitoring end and uploaded to a cloud platform through a communication module, so that remote monitoring of forestry data is realized; and the fire hazard level, the theft logging behavior and the pest and disease damage degree of the target area are analyzed by the fire analysis module, the theft logging analysis module and the pest and disease damage analysis module, so that the monitoring and analysis of forest fires, artificial destruction and forest pests are realized, the workload of workers is reduced, and the real-time monitoring and analysis of target area forestry data are realized.
Drawings
Fig. 1 is a logic block diagram of a forestry data monitoring cloud platform according to a first embodiment of the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
the specific implementation process is as follows:
example one
In the first embodiment, as shown in fig. 1, the forestry data monitoring cloud platform comprises a cloud platform and a plurality of monitoring ends, wherein each monitoring end comprises a data acquisition module and a communication module, the monitoring ends can form an ad hoc network through the communication modules, and the monitoring ends are wirelessly connected with the cloud platform through the communication modules.
The data acquisition module comprises a positioning module, an environment acquisition module, an audio acquisition module and a spectrum acquisition module.
The positioning module in the embodiment collects positioning data through a Beidou system; the environment acquisition module comprises a temperature sensor, a humidity sensor, an illumination intensity sensor, a wind direction sensor and a smoke concentration sensor, and is respectively used for acquiring temperature data, humidity data, illumination intensity data, wind direction data and smoke concentration data; the audio acquisition module is used for acquiring audio data; the spectrum acquisition module is used for acquiring hyperspectral images, and the hyperspectral images comprise hyperspectral images and hyperspectral images; the data collected by the data collection module are transmitted to the cloud platform through the communication module.
The cloud platform comprises a database, a fire analysis module, a cutting analysis module, a disease and pest analysis module, a fire alarm module and an alarm module, wherein the database comprises historical fire environment data, audio data and tree vegetation index and disease and pest corresponding relation data.
The fire analysis module comprises a hidden danger assessment module, a fire judgment module and a fire range defining module. The hidden danger evaluation module is used for evaluating the fire hidden danger level according to the temperature data, the humidity data and the illumination data; specifically, the fire hazard grades comprise no fire risk, higher fire risk, high fire risk and extremely high fire risk; the hidden danger evaluation module comprises a BP neural network module and is used for generating fire hidden danger grades according to the collected data. The BP neural network module comprises a BP neural network model, the BP neural network module evaluates the fire hazard level of a target area by using a BP neural network technology, and specifically, a three-layer BP neural network model is firstly constructed and comprises an input layer, a hidden layer and an output layer; for hidden layers, the present embodiment uses the following formula to determine the number of hidden layer nodes:
where l is the number of nodes of the hidden layer, n is the number of nodes of the input layer, m is the number of nodes of the output layer, and a is a number between 1 and 10, which is taken as 6 in this embodiment, so that the hidden layer has 8 nodes in total. BP neural networks typically employ Sigmoid differentiable functions and linear functions as the excitation function of the network. The scheme selects an S-type tangent function tansig as an excitation function of the hidden layer neuron. The prediction model selects an S-shaped logarithmic function tansig as an excitation function of neurons of an output layer. After the BP network model is constructed, the model is trained by using the historical fire environment data as a sample, and a more accurate evaluation result can be obtained through the model obtained after the historical fire environment data is trained.
The fire judgment module is used for judging whether a fire disaster occurs in a target area according to the temperature data, the illumination data, the smoke concentration data and the audio data; specifically, the fire judgment module analyzes whether a fire source exists according to the temperature data, the illumination data and the smoke concentration data, and then analyzes the collected audio data by the existing sound recognition technology to judge whether the target area is an artificial fire or a forest fire.
The fire disaster range defining module is used for generating a fire disaster range area according to the positioning data and the fire disaster judgment result; the embodiment of the invention also comprises a fire spreading analysis module, wherein the fire spreading analysis module is used for generating a fire spreading trend chart according to the fire range area, the wind direction and the humidity and the flammability degree of the tree species near the area, predicting the fire development direction through the fire spreading trend chart, and helping a user to prejudge the fire and timely take corresponding measures to carry out fire extinguishing work.
Be equipped with the fire alarm in the condition of a fire alarm module, the fire alarm includes condition of a fire hidden danger early warning and forest fire alarm, and the condition of a fire alarm module is not in when not having the fire danger at condition of a fire hidden danger level, all can send the condition of a fire hidden danger early warning that corresponds to the user according to with liquid condition of a fire hidden danger level, when the forest fire was judged to take place in the judgement of conflagration judgment module, condition of a fire alarm module still can send out the fire alarm.
The steal-and-fell analysis module comprises an audio identification module and a number evaluation module, the audio identification module adopts the existing audio identification technology to judge whether a target area steal-and-fell, and the number evaluation module analyzes the sound and the tone of a person appearing in a target according to the collected audio data so as to judge the number of crime in the target area. The alarm module is used for giving an alarm to the user and informing the user of the number of crime doing in the target area when the steal and felling behaviors are identified, so that the user can make a targeted strategy in time according to the number of people on the other side.
The pest analysis module comprises a tree species data acquisition module, a vegetation index analysis module, a pest evaluation module and a pest region defining module. The tree species data acquisition module is used for acquiring tree species information of a target area and a related rule between the spectrum of a target tree species and plant diseases and insect pests; the vegetation index analysis module is used for carrying out data analysis on the acquired spectral data in the form of vegetation indexes; the pest and disease damage assessment module is used for assessing pest and disease damage degrees of the target area tree species according to the vegetation index and the correlation rule between the spectrum of the target tree species and the pest and disease damage, the pest and disease damage degrees comprise five levels of light occurrence, medium occurrence, heavy occurrence and big occurrence, and the pest and disease damage degrees of the first two levels are prevention and control indexes. The pest and disease area defining module is used for generating a pest and disease distribution schematic diagram according to the pest and disease degree of each area, and when the pest and disease degree of a certain area is higher than the first two grades, the area is marked with pest control so as to remind a user of timely pest control.
Example two
The second embodiment is different from the first embodiment only in that the second embodiment further comprises a forest area search and rescue module, the forest area search and rescue module comprises a target marking module and an activity tracking module, the audio recognition module is further configured to analyze human activity data existing in the target area according to the collected audio data through an existing audio recognition technology, and the human activity data comprises voice data and footstep sound data; when the human activity data are analyzed, the target marking module analyzes the human voice data in the human activity data to obtain a target voice color and generate a corresponding activity target; when the voice data is insufficient, the target marking module also generates a corresponding activity target according to the footstep voice data; the activity tracking module is used for positioning the sound source according to the audio data and then performing time-space tracking recording on the activity target according to the positioning information. The time-space tracking record can be used for tracking the position of a target when a person enters a forest area and loses contact, locking the real-time position of the target person and helping a user to find the person.
EXAMPLE III
The difference between the third embodiment and the second embodiment is only that the third embodiment is a forestry data monitoring method using the forestry data monitoring cloud platform.
Example four
The difference between the fourth embodiment and the second embodiment is only that the fourth embodiment is a forestry data monitoring storage medium using the forestry data monitoring cloud platform
The foregoing are merely exemplary embodiments of the present invention, and no attempt is made to show structural details of the invention in more detail than is necessary for the fundamental understanding of the art, the description taken with the drawings making apparent to those skilled in the art how the several forms of the invention may be embodied in practice with the teachings of the invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. Forestry data monitoring cloud platform, including monitoring end and cloud platform, its characterized in that: the monitoring end comprises a data acquisition module and a communication module, and the cloud platform comprises a fire analysis module, a steal and fell analysis module and a disease and pest analysis module;
the monitoring end is wirelessly connected with the cloud platform through a communication module, and the data acquisition module comprises a positioning module, an environment acquisition module, an audio acquisition module and a spectrum acquisition module;
the positioning module is used for acquiring positioning data of a monitoring end, the environment acquisition module is used for acquiring environment data of a target area, the audio acquisition module is used for acquiring audio data of the target area, and the spectrum acquisition module is used for acquiring a hyperspectral image of the target area;
the fire analysis module is used for analyzing the fire hazard level of the target area according to the environmental data and the audio data; the theft-cutting analysis module is used for judging whether theft-cutting behavior exists in the target area according to the audio data; the disease and insect damage analysis module is used for analyzing the disease and insect damage degree of the target area according to the hyperspectral image.
2. The forestry data monitoring cloud platform of claim 1, wherein: the environment acquisition module comprises a temperature sensor, a humidity sensor, an illumination intensity sensor and a smoke concentration sensor; the environmental data includes temperature data, humidity data, light intensity data, and smoke concentration data.
3. The forestry data monitoring cloud platform of claim 2, wherein: the fire analysis module comprises a hidden danger assessment module, a fire judgment module and a fire range defining module;
the hidden danger evaluation module is used for evaluating the fire hidden danger level according to the temperature data, the humidity data and the illumination data;
the fire judgment module is used for judging whether a fire disaster occurs in a target area according to the temperature data, the illumination data, the smoke concentration data and the audio data;
the fire area defining module is used for generating a fire area according to the judgment result of the fire judging module when a fire happens.
4. The forestry data monitoring cloud platform of claim 3, wherein: the fire alarm module is used for sending fire alarm to the user according to the fire hidden danger level and the fire judgment result.
5. The forestry data monitoring cloud platform of claim 1, wherein: the steal and fell analysis module comprises an audio recognition module and a person number evaluation module;
the audio identification module is used for identifying whether the target area has a stealing and felling behavior according to the audio data;
the number evaluation module is used for evaluating the number of crime persons in the target area according to the audio data when the stealing and felling behaviors occur.
6. The forestry data monitoring cloud platform of claim 5, wherein: the intelligent monitoring system also comprises an alarm module, wherein the alarm module is used for giving an alarm to a user when the stealing and felling behaviors are identified.
7. The forestry data monitoring cloud platform of claim 1, wherein: the pest and disease damage analysis module comprises a tree species data acquisition module, a vegetation index analysis module and a pest and disease damage evaluation module;
the tree species data acquisition module is used for acquiring tree species information of a target area;
the vegetation index analysis module is used for analyzing the vegetation index of the target area according to the hyperspectral image;
and the pest and disease damage evaluation module is used for evaluating pest and disease damage degree according to the tree species information and the vegetation index of the target area.
8. The forestry data monitoring cloud platform of claim 7, wherein: the pest and disease analysis module further comprises a pest and disease area defining module, and the pest and disease area defining module is used for generating a forest region pest and disease distribution schematic diagram according to the pest and disease degree of each area.
9. The forestry data monitoring method is characterized by comprising the following steps: a forestry data monitoring cloud platform as claimed in any one of claims 1 to 8.
10. Forestry data monitoring cloud storage medium, its characterized in that: a forestry data monitoring cloud platform as claimed in any one of claims 1 to 8.
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