Artificial intelligence thunder and lightning detection system and method for forest steppe fire early warning
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A fire warning and artificial intelligence technology, which is applied in forest fire alarms, fire alarms, weather forecasting, etc. Accurate, efficient processing resources and power savings
Pending Publication Date: 2022-01-21
TERMINUSBEIJING TECH CO LTD
View PDF15 Cites 1 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0004] Therefore, the technical problem to be solved by the embodiments of the present invention is to overcome the defects that the lightning and fire early warning schemes in the prior art are widely distributed, resulting in the waste of social resources or failing to achieve the desired effect of the early warning, thereby providing a forest fire warning system. Artificial intelligence lightning detection system and method for grassland fire early warning
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0044] This embodiment provides an artificial intelligent lightning detection system for a fire warning for forest grassland, such as figure 1 As shown, including: a plurality of lightning detecting devices 1 and a host machine 2, the plurality of lightning detecting devices 1 are used to mount different locations within the forest area or grassland region of the fire warning;
[0045] The lightning detecting device 1 includes a ground electric field detecting module 11, a light detecting module 12, a very low frequency, and a low frequency electromagnetic wave detection module 13, a thunder detecting module 14, and a processor 10;
[0046] The processor 10 is configured to prepare a signal for the ground electric field detection module 11, the light detecting module 12, the very low frequency and the low frequency electromagnetic wave detecting module 13 and the thunder detecting module 14. According to the thunder detecting module 14 and the pre-treated sound signal is determine...
Embodiment 2
[0088] This embodiment provides a method for artificial intelligence lightning detection for the forest grassland fire warning, such as figure 2 As shown, any one of the above-described Embodiment 1, an artificial intelligent lightning detection system for a forest grassland fire warning, the method comprising the steps of:
[0089] S1: Get the ground electric field detection module 11, the light detecting module 12, the very low frequency and the low frequency electromagnetic wave detection module 13 and the signal detected by the thunder detecting module 14 are pre-processed;
[0090] S2: Determine whether it is a cloud from the thunder detection module 14 and the pre-processed sound signal is determined.
[0091] S3: When it is determined that it is a cloud flash, the ground electric field detection module 11, the light detecting module 12, the very low frequency and the low frequency electromagnetic wave detection module 13 and the thunder detection module 14 are detected and ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
PUM
Login to view more
Abstract
The invention provides an artificial intelligence thunder and lightning detection system and method for forest steppe fire early warning, and belongs to the technical field of fire early warning. The system comprises a plurality of thunder and lightning detection devices and an upper computer; the lightning detection device comprises a ground electric field detection module, a light detection module, a very low frequency and low frequency electromagnetic wave detection module, a thunder detection module and a processor. The processor is used for determining whether cloud-to-ground lightning occurs or not according to the sound signals detected by the thunder detection module and preprocessed, and if the cloud-to-ground lightning is determined, inputting the preprocessed signals detected by each detection module and the corresponding timestamps to a first deep learning module for lightning positioning to determine the distance between the cloud-to-ground lightning position and the lightning detection device; the upper computer is used for determining the ground position related to cloud-to-ground lightning according to the distance, and the ground position is used for determining a fire early warning area. The method can accurately position the position of a fire possibly caused by thunder and lightning, and reduces the fire prevention and control cost of forest or grassland areas.
Description
Technical field [0001] Technical Field The present invention relates to fire alarm, particularly relates to artificial lightning detection system and method for forest-steppe fire alarm. Background technique [0002] Lightning occurs in the atmosphere in an instantaneous high voltage, high current, strong electromagnetic radiation of severe weather phenomena, it is one of the serious natural disasters, with a higher frequency of occurrence, sudden strong, serious harm, a wide range of social impact large features, for public safety and people's lives and property formed a huge threat. Lightning fires caused by lightning is one of the most serious disasters, establish an effective early warning mechanism lightning fire is necessary. [0003] However, the current embodiment of the lightning fire alarm, most lightning warning device implemented, for example, lightning locator is provided, in the atmospheric electric field instrument or focused on monitoring the region directly used ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more