Method and system for estimating position and intensity of ignition source of fire

Abstract

The invention provides a method for estimating the position and the intensity of an ignition source of a fire. The method comprises the following steps of: dividing a region in which a building structure is positioned into a plurality of blocks; recording static structure information and dynamic structure information of each block, detecting an environment parameter to acquire fire monitoring information and sending to calculation and storage devices; sharing the fire monitoring information, the static structure information and the dynamic structure information of the block by the calculation and storage devices, simulating and forecasting fire simulation information under the intensity of different ignition sources according to the static structure information and the dynamic structure information, and performing partial estimation on the position and the intensity of the ignition source between paired blocks consisting of the block and a neighbor block; and cooperatively processing a plurality of partial estimation values by the calculation and storage devices in the blocks to acquire an overhaul estimation value of the position and the intensity of the ignition source. The invention also provides a device for estimating the position and the intensity of the ignition source of the fire. By adopting a distributed control structure, the calculation efficiency, the robustness and the expandability of the system for estimating the position and the intensity of the ignition source are improved.

Description

technical field [0001] The invention relates to the field of building safety assurance, in particular to a method and system for estimating the position and intensity of a fire source. Background technique [0002] Building fire has always been one of the important disasters that seriously threaten people's lives and property. The complex structure of modern buildings makes fires have the characteristics of concealment and suddenness, which brings certain difficulties to evacuation and fire fighting. Therefore, the early perception of fire source information has important practical significance for the development of fire emergency rescue. The traditional fire monitoring system relies solely on the detection system in the building, once the detected physical value exceeds the threshold, the fire alarm will be triggered. This kind of fire monitoring system that can only output alarm signals has many disadvantages and needs to be improved urgently. If the relevant sensing t...

AI Technical Summary

Problems solved by technology

When this centralized structure is applied in large buildings, it will inevitably increase the amount of information transmitted and processed, and increase the size of the fire model, thus increasing the complexity of the algorithm and reducing the computational efficiency.

At the same time, the disaster resistance of the centralized structure is poor, once the central controller fails, the system will not work normally

In addition, this method fails to consider the impact of dynamic changes in the ventilation state on the simulation results of the fire model, which increases the uncertainty of the simulation results

[0007] (4) By using the ZIgbee array to monitor the fire, the location of the fire source in a single area can be estimated, but this method cannot locate the fire in the entire building range, and because the method does not use the corresponding fire model, it cannot Estimate the fire intensity, fire development trend, etc., but can only give the description of the temperature field and smoke field through sensor information

However, due to the high dimensionality of the state space, the highly nonlinearity of the fire model, and the dynamic characteristics and uncertainties of the building structure, there are some difficulties in applying the extended Kalman filter method to the problem of state estimation of building fire smoke

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