Forest resources are one of the most important resources on the earth. They are the basis of biodiversity and one of the indispensable resources for human survival. With the development of the economy, the progress of society and the improvement of people's living standards, people's demands for the environment are getting higher and higher. Air quality and ecological environment directly affect the residents' health and quality of life, and directly affect the sustainable development of urban economy. Forests are playing an important role in purifying air, regulating climate, preventing soil erosion, maintaining species diversity and conserving water resources. Therefore, in order to expand the forest area, the government will devote a large amount of manpower, material and financial resources to afforestation every year. However, as the forest resources develop and grow, they are damaged to varying degrees. This kind of damage mainly comes from two aspects: on the one hand, it is man-made destruction, mainly because of the illegal cutting and illegal cutting by the lawless elements for the immediate interests. The losses caused by them are limited and controllable. On the other hand, natural disasters, such as diseases and insect pests, fires, and so on, cause huge losses, but there is a process of their development and spread, which can be effectively prevented. However, the losses caused by forest fires are huge, destructive and uncontrollable, and the occurrence is also random. To reduce the loss of forest resources to a minimum, disaster must be nipped in the bud.

Forest resources

Cloud sensing Internet of things A comprehensive solution for forest fire prevention, ecology and resource monitoring and early warning has been developed by the Hubei Academy of Forestry Sciences, which has been widely applied in forestry sector. Cloud sensing Internet of things intelligent forestry information integrated management platform includes intelligent forest fire warning system, intelligent forestry ecological monitoring system, intelligent forestry resources supervision system three major parts. Secondly, there are subsystems such as operation and maintenance management, data management, video management, fire prevention scheduling, big data analysis, APP and so on.

Cloud sensing Internet of things Grid monitoring and early warning cloud platform for forest fire prevention is an intelligent video surveillance system with unattended, real-time monitoring, intelligent alarm, and suitable for forestry characteristics. The system integrates the functions of heat source detection, data collection, video linkage, early warning and prediction, emergency command and so on. Based on narrow-band Internet of things technology, grid based heat source monitoring is adopted, supplemented by video monitoring and fire alarm as the core function. At the same time, additional functions such as geographic information system, emergency command and decision-making are extended. The system can fully realize the functions of monitoring, monitoring, fire warning and information dissemination, and realize the scientific, informational, standardized and efficient implementation of forest fire prevention, so as to achieve early detection and early settlement of the disaster.

Forest fire prevention

System characteristics

Automatic scanning The platform provides Z font scan operation scheme, supports panoramic mosaic, and can set up automatic cruise scripts in time periods to achieve real-time monitoring within the warning area.

Accurate identification The accuracy of pyrotechnic identification technology and the core intelligent recognition algorithm for pyrotechnic recognition is over 95%.

Timely warning Once the system recognizes pyrotechnics, the command center monitors the engine room and reminds the alarm. At the same time, it will notify the relevant personnel with the alarm prompt icon on the platform and APP.

Accurate location After finding the suspected fire, according to the GPS position of the front equipment, the azimuth information of the platform, the pixel coordinates of the fire source and the 3D elevation data of the map, the GPS position of the fire point can be located quickly and accurately, and the location of the fire point is marked on the electronic map, and the positioning accuracy can reach up to tens of meters. The location of the fire location is GIS.

Fire source identification and location

System advantage

1. Customized technology for forestry special environment and needs. Application technology is mature and stable.

(1) front-end equipment protection level IP67, suitable for all kinds of bad weather and environment.

(2) uninterrupted transmission, uninterrupted power supply and uninterrupted remote maintenance can be realized.

(3) monitoring radius from 3-15km to adapt to different forest areas and different environmental monitoring needs.

2. Early detection and accurate location of fire can be realized.

(1) the world's leading high-precision pan and multi spectral dynamic pyrotechnics recognition algorithm can accurately identify fire conditions.

(2) mature embedded dynamic pyrotechnic identification technology can realize rapid, accurate identification and early warning of fire.

(3) high-precision positioning and pointing, linkage 3D GIS information, can quickly, accurately and locate fire points.

3, simple operation, multi business linkage, compatibility and strong ductility.

(1) close to forest fire warning and command business, easy to operate.

(2) forest fire risk forecasting, fire intelligent monitoring, fire emergency decision-making, fire damage assessment, information dissemination and other functions.

(3) integrate multiple device interfaces to seamlessly integrate with the Internet of things monitoring system.

4, multi level deployment, information interconnection, remote intelligent management, low cost of operation and maintenance.

(1) the system supports the structural deployment of multistage platforms of the national, provincial, municipal and county level forestry bureau, which enables information interconnection and multi-level cooperation.

(2) having remote management function to reduce operation and maintenance costs.

5, less comprehensive investment, save construction investment.

(1) reduce the number of monitoring stations through the coverage radius of products, and save the cost of infrastructure construction to improve the safety operation of single station, so as to ensure the monitoring and early warning effect of the system, and save construction costs and maintenance costs.

Dual spectrum heavy loaded pan tilt camera

Core technology -- Intelligent image pyrotechnic recognition algorithm

1. Raw data analysis

The algorithm uses uncompressed raw data to identify the smoke features quickly in the background of the image, so that the whole algorithm system is more than one level of betrayal, which improves the accuracy level of the algorithm and eliminates the missing report.

2, two levels of dynamic analysis and static filtering.

Using the industry's unique motion recognition and image enhancement technology, the platform can identify the fire in the dynamic cruise and improve the image processing time. The single point coverage area is far beyond the traditional video fire-fighting equipment.

3. Infrared coordinate mapping, visible light assisted analysis.

The infrared algorithm can calculate the position of each pixel on the infrared image, which corresponds to the visible image, and then use the visible light algorithm to assist identification, so as to avoid false positives effectively.

4, deep learning algorithm based on big data.

The pyrotechnic identification system adopts artificial intelligence algorithm based on imitating human neural network, learning and remembering all kinds of pyrotechnic characteristics from massive fire data, improving algorithm model, enhancing algorithm adaptability, and automatically improving fire recognition rate.

In addition, intelligent forestry ecological monitoring system and intelligent forestry resources supervision system can be realized. Automated logging, illegal inspection and supervision , Ecological data automatic acquisition, data display and analysis, forestry vegetation information management and other aspects. 1) automated logging, illegal inspection and supervision.

China's forest farms generally have a large area, and traffic and communication are inconvenient. It has increased the difficulty of logging and illegal construction supervision. At present, most of the forest farms are inspecting the forest farms by way of inspection teams. The inspection efficiency is low, the cycle is long, the information feedback is not in time, and the missing rate is high.

The intelligent forestry resource supervision system provides spatio-temporal data comparison technology to conduct regular inspections of forest farms, and makes automatic comparative analysis of remote sensing map data at different times, and automatically analyzes forest deforestation and illegal construction through the results of map differentiation.

2) automatic collection, display and analysis of ecological data in forest farms.

The ecological data of the forest farm are relatively abundant, including meteorological, environmental, soil and water quality. Most forest farms are backward in equipment, and data collection is carried out by means of traditional personnel acquisition. There is no unified platform for exhibition management, not to mention data analysis and utilization.

Ecological data collection

The intelligent forestry ecological monitoring system can automatically collect, centrally manage and analyze all kinds of ecological data in the forest farm by means of sensors such as hydrology, soil, environment and meteorology. It is not only conducive to the daily management and maintenance of forest farms, but also important to the development of forestry ecological information.

3) information management of forestry vegetation.

The division and management of vegetation in the forest farm still stays on the blueprint, which is not intuitive and inaccurate to the management of the forest farm, and can not record all the attribute information of the vegetation. It is not convenient for managers to grasp the overall macro control of Forest Farm vegetation.

The intelligent forestry resource monitoring system realizes the three-dimensional display, query and statistics of vegetation by vegetation information management, and displays all the attribute information of vegetation by clicking on different vegetation layers, and can achieve the statistics of area and quantity.

"The green tree village is close to each other, and the green hills and the Kuo are inclined outward." since ancient times, the beautiful natural environment is people's yearning. People are closely interlinked with nature. Through information technology, we have "dialogue" with every tree and every forest, accurately "perceive" their emotions, and understand their "food, clothing, shelter and shelter", so as to carefully care for every shade. Cloud sensing Internet of things The attempt is just a beginning, dare to innovate, dare to apply the "no man's land" to new technology, accelerate the construction of "intelligent forestry", and ecological forest will usher in unlimited scenery.