Remote wifi module disaster relief wireless video surveillance solution

      2022-08-02 1229

      Flood control forest fire prevention long-distance wifi module disaster relief wireless video surveillance solution

      Remote wifi module disaster relief wireless video surveillance solution

      1. Status Quo of Flood Control and Flood Control Industry

      The summer is hot and rainy, and now it has entered July, officially entering the hot summer, with rain year after year, especially this year. According to relevant news reports, there is a lot of rainfall in the whole country. The continuous rainfall in Hubei, Hunan, Hebei and Henan has been prolonged. Affected by the flood disaster, the safety of life and property of the people has been seriously affected. The main reason is the excessive rainfall, which caused the river embankments and dams to burst, resulting in flood disasters.


      2. Flood control industry needs

      Flood natural disasters are inevitable, but through preventive and timely remedial measures, unnecessary losses can be greatly reduced. There is a complete monitoring system for flood and disaster prevention, which enables the river embankment and dam water personnel to comprehensively monitor the water situation and make preventive preparations in advance. Due to the vast geographical complexity of river banks and dams, wireless transmission is an ideal way. A set of flood control wireless transmission scheme should be designed to build a flood control monitoring system for flood control image, collection, storage, analysis, release, and application management.


      Third, the advantages of long-distance wifi module wireless transmission system

      The installation by technicians is relatively simple, no cables need to be laid out, the working time is shortened, the maintenance is relatively simple, the transmission range is wide, and the transmission distance is very long. And flexibility is better too.


      4. Flood control and flood control wireless transmission system structure

      1. Front-end IP camera: It is used to collect the disaster site in real time. It is often installed on the river bank. The commanding height of the dam can monitor the overall situation of the reservoir, dam, and river bank.

      2. Mid-end wireless transmission equipment: The common long-distance wifi module wireless transmission equipment in flood control and flood control wireless transmission systems is digital wireless, which is used to monitor the sending and receiving of video images.

      3. Back-end - surveillance display + hard disk video recorder (NVR): used to display and store surveillance video images.

      PS: The back-end can be divided into "flood control center" and "wireless video integrated management platform platform", and the "flood control center" and "wireless video integrated management platform platform" are connected through the Internet, and the "flood control center" can watch the real-time disaster site through the Internet. Monitor video or retrieve video NVR video images stored on the Internet.


      According to the forest fire prevention long-distance wifi module warning plan


      1. Status Quo of Forest Fire Protection Industry

      Forest fires are one of the most important forestry disasters in the world, with a certain number of occurrences every year, resulting in heavy losses of forest resources and global environmental pollution. Forest fires have the characteristics of sudden, random disasters causing huge losses in a short period of time.


      On May 3, 2016, a terrible, catastrophic fire broke out in Alberta, western Canada. The small town of Fort McMurray was hit by a violent wildfire, and 100,000 residents were evacuated. Canadian insurance and banking financial institutions initially believed that the fire could cause economic losses of 9 billion Canadian dollars (about 45.5 billion yuan) and could become the worst natural disaster in Canadian history.


      Russia has expressed its willingness to help Canada put out fires, but before the forest fires in Canada were extinguished, a forest fire also broke out in Russia on the 11th. A state of emergency for forest fire prevention and control has been entered. Forest fires could cost Russia $300 billion (about 2 trillion yuan).


      According to statistics from the State Forestry Administration, an average of about 10,000 forest fires occur every year in my country, and the burned forest area accounts for about 5-8% of the country's forest area. The suddenness and randomness of forest fires cause huge losses in a short period of time. Therefore, the rapid detection and extinguishing of forest fires has become the top priority of forest fire prevention.


      Therefore, once a fire alarm occurs, rescue measures must be taken as soon as possible. Whether the rescue is timely and whether the decision is appropriate depends on whether the forest fire behavior is detected in time, the analysis is accurate and reasonable, and the decision-making measures are appropriate. To this end, efforts are being made at home and abroad to prevent, reduce and control forest fires. In order to realize the standardization, science and informatization of forest fire prevention work as soon as possible and implement the "prevention first, active rescue policy", and truly achieve early detection and early resolution.


      2. Forest fire protection needs

      Forest fire is one of the three major forest disasters. Under the guidance of the "Forest Law", "Forest Fire Prevention Regulations", "National Forest Fire Prevention Development Plan" and other laws and regulations, forest fire prevention is the guarantee for the growth of forest resources and an important measure for the development of modern forestry and the construction of ecological forestry.


      Forestry is facing the "five difficulties" in fire prevention work:

      1. The technical content of forest fire warning and prediction is not high.

      2. The basic facilities are weak.

      3. It is difficult to find the case in time. Organize the rescue in time.

      4. On-site command and dispatch is difficult.

      5. Each supervisory department sets up platforms, lacks a comprehensive supervisory model, and makes it difficult to share forest resources.


      Necessary conditions for forest fires:

      1. Combustibles (including trees, grasses and shrubs and other plants) are the material basis of forest fires;

      2. Fire risk weather is an important condition for fire;

      3. The fire source is the leading factor of forest fires.


      If one of the above three conditions is missing, the forest fire will not occur. A large number of facts show that forest fires can be prevented, combustibles and ignition sources can be controlled manually, and fire hazards can be predicted and anticipated to reduce losses and damages.


      Precaution:

      In view of the above three conditions, it is necessary to establish a comprehensive management system of long-distance wifi module intelligent forest fire insurance to make up for the shortage of manual prevention, take effective measures to carry out large-scale forest areas, and 24-hour real-time monitoring can automatically discover forest fire sources. Automatic alarm, accurate location of fire point, real-time viewing of live video. Traditional forest fire prevention and forest resource management early warning systems usually have high false alarms, and some early special fire early warning monitoring is not in place, such as geothermal energy, optical phantoms and smoke-like flying objects.


      This long-distance wifi module solution is specially designed for forest fire monitoring system, equipped with high-performance temperature measurement infrared thermal imaging module and high-definition visible light camera module, 360° all-round high-speed digital cloud platform, embedded fire identification module, using advanced algorithms to analyze original For temperature measurement data, only the 75mm lens can monitor a 5km 1m × 2m wooden fire source, avoiding the shortcomings of previous pure video analysis algorithms. Output fire alarm data through the network, and support white light images and thermal images in mainstream image coding formats.


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