CN112785803A - Monitoring system based on Internet of things - Google Patents

Monitoring system based on Internet of things Download PDF

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Publication number
CN112785803A
CN112785803A CN202110018346.4A CN202110018346A CN112785803A CN 112785803 A CN112785803 A CN 112785803A CN 202110018346 A CN202110018346 A CN 202110018346A CN 112785803 A CN112785803 A CN 112785803A
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monitoring
early warning
module
data
fire
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CN202110018346.4A
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Chinese (zh)
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吴琪
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Zhenjiang Ruiqi Information Technology Co ltd
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Zhenjiang Ruiqi Information Technology Co ltd
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Priority to CN202110018346.4A priority Critical patent/CN112785803A/en
Publication of CN112785803A publication Critical patent/CN112785803A/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/005Fire alarms; Alarms responsive to explosion for forest fires, e.g. detecting fires spread over a large or outdoors area
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B29/00Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
    • G08B29/18Prevention or correction of operating errors
    • G08B29/185Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/38Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/70Services for machine-to-machine communication [M2M] or machine type communication [MTC]

Abstract

The invention discloses a monitoring system based on the Internet of things, which comprises: data module, monitoring module, early warning module and display module, data module includes the data acquisition unit, data transmission unit and data processing unit, monitoring module is used for monitoring the parameter of each regional environment in the forest, monitoring module includes temperature monitoring, wind monitoring and intensity of a fire monitoring, temperature monitoring is used for the temperature condition in the forest region through temperature sensor monitoring, wind monitoring is used for the direction and the speed of prisoner's wind, be convenient for provide the direction of seeking help for subsequent conflagration condition, intensity of a fire monitoring is used for when the forest takes place the conflagration, the monitoring to the intensity of a fire condition, early warning module is used for warning and handling through the warning of monitoring module transmission, display module is used for showing the data of monitoring. According to the invention, the forest is efficiently monitored in real time in an all-around manner through the Internet of things, so that the cost for forest monitoring and fire protection is effectively reduced.

Description

Monitoring system based on Internet of things
Technical Field
The invention relates to the technical field of Internet of things, in particular to a monitoring system based on the Internet of things.
Background
The internet of things is a network for connecting articles, is an extension and extension of the application of the internet, and mainly utilizes various sensing devices and communication means to connect people with people, people with articles and articles with the internet.
The current forest fire is undoubtedly a huge disaster to human beings and various animals and plants, while most of the existing monitoring on the forest environment is stopped at adopting manual patrol monitoring and unmanned aerial vehicle patrol monitoring, the cost is high, the monitoring range is not comprehensive, the real-time performance of monitoring is weak, and the mode can not discover and eliminate potential safety hazards in time.
Disclosure of Invention
Technical problem to be solved
The invention can solve the problems that most of the existing forest environment monitoring methods adopt manual patrol monitoring and unmanned aerial vehicle patrol monitoring, the cost is high, the monitoring range is incomplete, the real-time performance of monitoring is weak, and the mode can not discover and eliminate potential safety hazards in time.
(II) technical scheme
In order to achieve the above object, the present invention adopts the following technical solutions, and a monitoring system based on the internet of things includes: the device comprises a data module, a monitoring module, an early warning module and a display module.
The monitoring module is in signal connection with the data module, the early warning module is in signal connection with the monitoring module, and the display module is in telecommunication connection with the monitoring module and the early warning module;
the data module comprises a data acquisition unit, a data transmission unit and a data processing unit;
the data acquisition unit is used for acquiring a model through an external sensor and transmitting the model to an upper computer for analysis and processing;
the data transmission unit is used for transmitting the data acquired by the sensor through a wireless communication technology;
the data processing unit is used for processing data propagated through wireless communication;
the monitoring module is used for monitoring parameters of each regional environment in the forest, and comprises temperature monitoring, wind monitoring and fire monitoring;
the temperature monitoring is used for monitoring the temperature condition in the forest area through a temperature sensor;
the wind monitoring is used for identifying the direction and speed of wind, so that a recourse direction can be provided for the subsequent fire condition;
the fire monitoring is used for monitoring the fire condition when a forest fires;
the early warning module is used for carrying out early warning and processing through the warning transmitted by the monitoring module;
the display module is used for displaying monitored data.
As a preferred technical scheme of the invention, the data acquisition unit comprises image acquisition and sound acquisition, the image acquisition is used for carrying out video recording and photographing acquisition on the environment of the forest area through high-definition camera equipment, the sound acquisition is used for acquiring and collecting the sound in the environment through a sound collector and carrying out data analysis and uploading, and the image acquisition and the sound acquisition effectively carry out real-time observation and data report on the environment in the forest area.
As a preferred technical solution of the present invention, the data processing unit performs digital-to-analog conversion on the image signal and the sound signal acquired by the data acquisition unit through a central processing unit, and converts the image signal and the sound signal into a digital signal for transmission.
As a preferred technical solution of the present invention, the data module is in signal connection with a data storage module, the data storage module is in signal connection with a background database of the system, when abnormal data occurs in the data of the data module, the monitoring module calls and monitors the data from the data storage module, and sends an early warning signal to the early warning module, and the early warning module performs preprocessing.
As a preferred technical solution of the present invention, the monitoring module is in signal connection with an LoRa wireless communication technology, the LoRa wireless communication technology realizes that data can be transmitted in a long distance under a low power consumption condition, the LoRa wireless communication technology is 3-5 times longer than a traditional wireless radio frequency communication distance under the same power consumption, and the LoRa wireless communication technology encrypts the data by using an AES128 algorithm, thereby effectively ensuring the security of the transmitted data.
In a preferable technical scheme of the invention, the fire monitoring telecommunication is connected with a smoke sensor and a light sensor, the smoke sensor is used for monitoring the concentration of open fire smoke, the fire intensity is monitored and analyzed according to the smoke concentration of the open fire, the smoke sensor is connected with the early warning module through signals, when the smoke sensor monitors that the smoke concentration parameter is higher than a standard value, the smoke sensor transmits a signal to the early warning module through the LoRa wireless communication technology, the early warning module can send out corresponding early warning signals, the light sensor is used for monitoring the brightness of the forest in a monitoring area, the light sensor detects the brightness degree in the area range of the sheet, when the bright degree of monitoring surpasss and surveys more than 10 times of the bright degree in district's scope, light sensor can pass through loRa wireless communication technique to early warning module sends danger signal.
As a preferred technical solution of the present invention, the wind monitoring includes wind direction monitoring and wind speed monitoring, the wind direction monitoring is used for monitoring a wind direction within a monitoring area, the wind direction monitoring is connected with a wind direction sensor in a telecommunication manner, the wind speed monitoring is used for monitoring a wind speed within the monitoring area, and the wind speed monitoring is connected with a wind speed sensor in a telecommunication manner.
As a preferred technical solution of the present invention, the early warning module is in signal connection with the monitoring module, the early warning module receives an alarm signal through the LoRA wireless communication technology, the early warning module includes an early warning level unit and a reply processing unit, the early warning level unit is configured to analyze and judge a danger level of a forest zone environment, the reply processing unit is configured to process and reply to the received early warning signal, the early warning level unit includes a primary early warning, a secondary early warning and a tertiary early warning, the primary early warning is used for early warning and responding to an early warning signal with a higher danger coefficient, the secondary early warning is used for early warning a medium-risk early warning signal in a fire signal, and the tertiary early warning is used for processing an early warning signal with a weaker danger signal.
As a preferred technical scheme of the invention, the early warning module is in signal connection with a statistical analysis module, the statistical analysis module comprises early warning level statistics and early warning frequency statistics, the early warning level statistics intuitively display the early warning level condition of each quarter through a bar statistical graph, the frequency statistics intuitively display the early warning frequency of each month in the year through a broken line statistical graph, and systematic analysis is performed through statistics, so that the high-fire time period in the year is effectively analyzed, and forest fires are better predicted and monitored.
As a preferred technical solution of the present invention, the display module performs output display through a computer terminal device, the computer terminal device includes a display, a sound box and a printer, and the computer terminal device is used for displaying a real-time monitoring situation in the monitoring system and displaying an emergency situation of an abnormal forest occurrence.
(III) advantageous effects
1. According to the monitoring system based on the Internet of things, the data acquisition, the data transmission and the data processing are carried out on the environmental parameters in the forest region through the data module, and the collected data are stored in the background database of the monitoring system, so that the environmental data in the forest region environment are effectively monitored in real time;
2. according to the monitoring system based on the Internet of things, the environment in a forest area is monitored in real time through the monitoring module through temperature monitoring, wind direction monitoring, wind speed monitoring and monitoring of smoke concentration and brightness of fire, when the temperature, the smoke concentration and the brightness of a certain area in the forest area are monitored to be higher than standard values, the monitoring module sends a danger alarm signal to the early warning module, and when the fire breaks out in the forest area, the monitoring system can timely process and remedy the subsequent fire through wind direction monitoring and wind speed monitoring;
3. according to the monitoring system based on the Internet of things, the early warning module is in signal connection with the statistical analysis module, the statistical analysis module can effectively predict and prevent the occurrence time of forest fires and the coping strategies, and information of the monitoring system is displayed through the computer terminal equipment which is in telecommunication connection with the display module.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a system flow diagram of the present invention;
FIG. 2 is a data block flow diagram of the present invention;
FIG. 3 is a flow diagram of a monitoring module of the present invention;
FIG. 4 is a flow diagram of an early warning module of the present invention;
FIG. 5 is a flow diagram of a statistical analysis module of the present invention;
fig. 6 is a flow chart of the computer terminal device of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it is to be understood that the terms "longitudinal", "upper", "lower", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
As shown in fig. 1 to 6, a monitoring system based on the internet of things includes: the system comprises a data module, a monitoring module, an early warning module and a display module;
the monitoring module is in signal connection with the data module, the early warning module is in signal connection with the monitoring module, and the display module is in telecommunication connection with the monitoring module and the early warning module;
the data module comprises a data acquisition unit, a data transmission unit and a data processing unit;
the data acquisition unit is used for acquiring a model through an external sensor and transmitting the model to an upper computer for analysis and processing;
the data transmission unit is used for transmitting the data acquired by the sensor through a wireless communication technology;
the data processing unit is used for processing data propagated through wireless communication;
the monitoring module is used for monitoring parameters of each regional environment in the forest, and comprises temperature monitoring, wind monitoring and fire monitoring;
the temperature monitoring is used for monitoring the temperature condition in the forest area through a temperature sensor;
the wind monitoring is used for identifying the direction and speed of wind, so that a recourse direction can be provided for the subsequent fire condition;
the fire monitoring is used for monitoring the fire condition when a forest fires;
the early warning module is used for carrying out early warning and processing through the warning transmitted by the monitoring module;
the display module is used for displaying monitored data.
The data acquisition unit comprises image acquisition and sound acquisition, the image acquisition is carried out video recording and shooting acquisition to the regional environment in the forest through high definition camera equipment, sound acquisition is gathered and is collected the sound in the environment through sound collector to carry out data analysis and upload, image acquisition with sound acquisition is effectual to carry out real-time observation and data report to the environment in the forest region.
The data processing unit carries out digital-to-analog conversion on the image signals and the sound signals acquired by the data acquisition unit through a central processing unit, and converts the image signals and the sound signals into digital signals for transmission.
The data module is in signal connection with a data storage module, the data storage module is in signal connection with a background database of the system, when data of the data module generates abnormal data, the monitoring module can call and monitor the data from the data storage module and send early warning signals to the early warning module, and the early warning module carries out preprocessing.
Monitoring module signal connection has the loRa wireless communication technique, the loRa wireless communication technique has realized carrying out far distance transmission with data under the condition of low-power consumption, the loRa wireless communication technique enlarges 3-5 times than traditional wireless radio frequency communication distance under the same power consumption, and the loRa wireless communication technique adopts AES128 algorithm to encrypt data, the effectual transmission data security that has ensured.
The fire monitoring telecommunication is connected with a smoke sensor and a light sensor, the smoke sensor is used for monitoring the concentration of open fire smoke, the fire intensity is monitored and analyzed according to the smoke concentration of the open fire, the smoke sensor is connected with the early warning module through signals, when the smoke sensor monitors that the smoke concentration parameter is higher than a standard value, the smoke sensor transmits a signal to the early warning module through the LoRa wireless communication technology, the early warning module can send out corresponding early warning signals, the light sensor is used for monitoring the brightness of the forest in a monitoring area, the light sensor detects the brightness degree in the area range of the sheet, when the bright degree of monitoring surpasss and surveys more than 10 times of the bright degree in district's scope, light sensor can pass through loRa wireless communication technique to early warning module sends danger signal.
The wind monitoring includes wind direction monitoring and wind speed monitoring, the wind direction monitoring is used for the monitoring to the trend of the wind of monitoring area within range, wind direction monitoring telecommunications connection has a wind direction sensor, the wind speed monitoring is used for the monitoring to the speed of the wind of monitoring area within range, wind speed monitoring telecommunications connection has a wind speed sensor.
The early warning module is connected with the monitoring module through signals, the early warning module receives warning signals through the LoRA wireless communication technology, the early warning module comprises an early warning grade unit and a reply processing unit, the early warning grade unit is used for analyzing and judging the danger grade of the forest region environment, the reply processing unit is used for processing and replying the received early warning signals, the early warning grade unit comprises a first-level early warning, a second-level early warning and a third-level early warning, the first-level early warning is used for early warning and responding to early warning signals with higher danger coefficients, the second-level early warning is used for early warning signals with medium danger in fire signals, and the third-level early warning is used for processing early warning signals with weaker danger signals.
The early warning module signal connection has statistical analysis module, statistical analysis module includes early warning grade statistics and the statistics of early warning number of times, early warning grade statistics shows the early warning grade situation of every quarter through the bar statistical chart is audio-visual, the statistics of number of times is through the audio-visual number of times of statistics of broken line statistical chart every month in a year, carries out systematic analysis through the statistics to effectual analysis the high time period of the conflagration in a year, better predict and monitor forest fire.
The display module carries out output display through computer terminal equipment, computer terminal equipment includes display, audio amplifier and printer, computer terminal equipment is arranged in the condition of real time monitoring in the display monitoring system and shows the unusual emergency of forest appearance.
Specifically, the working principle of the monitoring system based on the internet of things is as follows: the data module is used for collecting environmental parameters in the forest region, transmitting the data and processing the data, and storing the collected data into a background database of the monitoring system, so that the environmental data in the forest region can be effectively monitored in real time, the monitoring module is used for monitoring the environment in the forest region in real time through temperature monitoring, wind direction monitoring, wind speed monitoring and monitoring of smoke concentration and brightness of fire respectively, when the temperature, the smoke concentration and the brightness of a certain region in the forest region are monitored to be higher than a standard value, the monitoring module sends a danger alarm signal to the early warning module, when a fire disaster occurs in the forest region, the monitoring system can process and remedy the subsequent fire disaster in time through wind direction monitoring and wind speed monitoring, the early warning module is in signal connection with a statistical analysis module, through time and the strategy of dealing with that statistics analysis module can effectual prediction and prevention forest fire takes place, monitored control system's information all will show through display module telecommunication connection's computer terminal equipment, and this system carries out omnidirectional high-efficient real time monitoring to the forest through internet of things, the effectual cost that has reduced forest monitoring and fire protection.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A monitoring system based on the Internet of things is characterized by comprising: the system comprises a data module, a monitoring module, an early warning module and a display module;
the monitoring module is in signal connection with the data module, the early warning module is in signal connection with the monitoring module, and the display module is in telecommunication connection with the monitoring module and the early warning module;
the data module comprises a data acquisition unit, a data transmission unit and a data processing unit;
the data acquisition unit is used for acquiring a model through an external sensor and transmitting the model to an upper computer for analysis and processing;
the data transmission unit is used for transmitting the data acquired by the sensor through a wireless communication technology;
the data processing unit is used for processing data propagated through wireless communication;
the monitoring module is used for monitoring parameters of each regional environment in the forest, and comprises temperature monitoring, wind monitoring and fire monitoring;
the temperature monitoring is used for monitoring the temperature condition in the forest area through a temperature sensor;
the wind monitoring is used for identifying the direction and speed of wind, so that a recourse direction can be provided for the subsequent fire condition;
the fire monitoring is used for monitoring the fire condition when a forest fires;
the early warning module is used for carrying out early warning and processing through the warning transmitted by the monitoring module;
the display module is used for displaying monitored data.
2. The monitoring system based on the internet of things as claimed in claim 1, wherein the data acquisition unit comprises image acquisition and sound acquisition, the image acquisition is used for recording and shooting the regional environment in the forest through a high-definition camera device, the sound acquisition is used for acquiring and collecting the sound in the environment through a sound collector and carrying out data analysis and uploading, and the image acquisition and the sound acquisition effectively carry out real-time observation and data report on the environment in the forest region.
3. The monitoring system based on the internet of things as claimed in claim 2, wherein the data processing unit performs digital-to-analog conversion on the image signals and the sound signals acquired by the data acquisition unit through a central processing unit, and converts the image signals and the sound signals into digital signals for transmission.
4. The monitoring system based on the internet of things as claimed in claim 1, wherein the data module is in signal connection with a data storage module, the data storage module is in signal connection with a background database of the system, when abnormal data are generated in the data of the data module, the monitoring module can call and monitor the data from the data storage module, and simultaneously send an early warning signal to the early warning module, and the early warning module performs preprocessing.
5. The monitoring system based on the internet of things as claimed in claim 1, wherein the monitoring module is in signal connection with an LoRa wireless communication technology, the LoRa wireless communication technology enables data to be transmitted in a long distance under a low power consumption condition, the LoRa wireless communication technology is 3-5 times longer than a traditional wireless radio frequency communication distance under the same power consumption, and the LoRa wireless communication technology encrypts the data by using an AES128 algorithm, so that the security of the transmitted data is effectively guaranteed.
6. The monitoring system based on the internet of things as claimed in claim 5, wherein the fire monitoring telecommunication is connected with a smoke sensor and a light sensor, the smoke sensor is used for monitoring the concentration of open fire smoke, the fire is monitored and analyzed according to the concentration of the open fire smoke, the smoke sensor is in signal connection with the early warning module, when the smoke sensor monitors that the smoke concentration parameter is higher than a standard value, the smoke sensor transmits a signal to the early warning module through the LoRa wireless communication technology, the early warning module sends out a corresponding early warning signal, the light sensor is used for monitoring the light brightness in a forest monitoring area, the light sensor detects the light brightness in the area, and when the monitored light brightness exceeds more than 10 times of the light brightness in the area, the light sensor can send danger signals to the early warning module through the LoRa wireless communication technology.
7. The monitoring system based on the Internet of things as claimed in claim 1, wherein the wind monitoring comprises wind direction monitoring and wind speed monitoring, the wind direction monitoring is used for monitoring the trend of wind in a monitoring area range, a wind direction sensor is connected to the wind direction monitoring telecommunication, the wind speed monitoring is used for monitoring the speed of the wind in the monitoring area range, and a wind speed sensor is connected to the wind speed monitoring telecommunication.
8. The monitoring system based on the internet of things as claimed in claim 5, wherein the early warning module is in signal connection with the monitoring module, the early warning module receives an alarm signal through the LoRA wireless communication technology, the early warning module comprises an early warning level unit and a reply processing unit, the early warning level unit is used for analyzing and judging the danger level of the forest region environment, the reply processing unit is used for processing and replying the received early warning signal, the early warning level unit comprises a primary early warning, a secondary early warning and a tertiary early warning, the primary early warning is used for early warning and responding to the early warning signal with a higher danger coefficient, the secondary early warning is used for early warning the early warning signal with medium danger in the fire signal, and the tertiary early warning is used for processing the early warning signal with a weaker danger signal.
9. The monitoring system based on the Internet of things is characterized in that the early warning module is in signal connection with a statistical analysis module, the statistical analysis module comprises early warning level statistics and early warning times statistics, early warning level statistics visually display early warning level conditions of every quarter through a bar-shaped statistical graph, the times statistics visually display early warning times of every month in a year through a broken line statistical graph, systematic analysis is carried out through statistics, accordingly, fire high-fire time periods in a year are effectively analyzed, and forest fires are better predicted and monitored.
10. The monitoring system based on the Internet of things as claimed in claim 1, wherein the display module is used for outputting and displaying through computer terminal equipment, the computer terminal equipment comprises a display, a sound box and a printer, and the computer terminal equipment is used for displaying real-time monitoring conditions in the monitoring system and displaying abnormal emergency conditions occurring in forests.
CN202110018346.4A 2021-01-07 2021-01-07 Monitoring system based on Internet of things Pending CN112785803A (en)

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CN114071394A (en) * 2021-11-10 2022-02-18 西安精科华盾应急救援装备有限公司 Method for spreading and deploying forest fire dense array sensing module
CN115600639A (en) * 2022-09-30 2023-01-13 国网四川省电力公司眉山供电公司(Cn) Wind speed sensor, power transmission line wind speed prediction method and early warning system
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CN115600639A (en) * 2022-09-30 2023-01-13 国网四川省电力公司眉山供电公司(Cn) Wind speed sensor, power transmission line wind speed prediction method and early warning system
CN115600639B (en) * 2022-09-30 2023-11-14 国网四川省电力公司眉山供电公司 Wind speed sensor, wind speed prediction method of power transmission line and early warning system
CN116524669A (en) * 2023-07-04 2023-08-01 苏州尚集思智能技术有限公司 Forest fire early warning monitoring system
CN116524669B (en) * 2023-07-04 2023-09-15 苏州尚集思智能技术有限公司 Forest fire early warning monitoring system

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