Photoelectric smoke fire detection and alarming method, apparatus and system
OwnerXuedan Wuinventor
Life of this patent
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Abstract
The present invention relates to a new photoelectric smoke fire detection and alarming method, comprising: acquiring scattered light intensity data of at least two scattering angles of fire samples and interference source samples, and calculating sample parameters thereof to form a sample category table; and calculating sample parameters of detection data for comparison, and outputting a fire alarming signal when the comparison result is that the sample parameters are in line with the sample category table. According to the fire alarming method in the present invention, data collection, calculation and judgment are performed based on at least two modulated optical signals, so that the early-warning precision is improved.
Claims20
A new photoelectric smoke fire detection and alarming method, comprising:
- step 1:
- a data acquisition step of acquiring scattered light intensity data of samples;
- the scattered light intensity data of each sample comprising a scattered light intensity of a scattering angle θ1 and a scattered light intensity of a scattering angle θ2;
- step 2:
- a data analysis step of obtaining sample parameters by calculation based on the acquired sample data, the sample parameters comprising at least one of a particle size d and a refractive index m;
- step 3:
- a sample table generation step of forming a number of fire categories by taking any of the sample parameters calculated in the previous step as a measurement index, and determining values or value ranges of various sample parameters of each fire category to obtain a sample table;
- and
- step 4:
- a fire early-warning step of acquiring detection data (scattered light intensity data) of a detection sample collected in real time according to the method of step 1, obtaining sample parameters of the detection sample by calculation according to the method of step 2, and comparing the parameters of the detection sample with the sample table;
- if the parameters of the detection sample are in line with the parameters of a fire category, determining it as a fire and sending an early-warning signal;
- if the parameters of the detection sample are not in line with the parameters of any fire category, repeating the above detection, calculation and comparison processes at least twice and calculating mean values, and making comparison using a single mean value or multiple mean values respectively;
- and
- if the mean values are in line with the parameters of a fire category, determining it as a fire and sending an early-warning signal;
- and if the mean values are still not in line with the parameters of any fire category, continuously collecting detection data and constantly repeating the calculation and comparison processes.
A new photoelectric smoke fire detection and alarming apparatus, comprising:
- a data acquisition module configured to acquire scattered light intensity data of samples;
- the scattered light intensity data of each sample comprising a scattered light intensity of a scattering angle θ1 and a scattered light intensity of a scattering angle θ2;
- a data analysis module configured to obtain sample parameters by calculation based on the acquired sample data, the sample parameters comprising at least one of a particle size d and a refractive index m;
- a sample table generation module configured to form a number of fire categories by taking any of the sample parameters calculated by the data analysis module as a measurement index, and determine values or value ranges of various sample parameters of each fire category to obtain a sample table;
- and
- a fire early-warning module configured to acquire detection data (scattered light intensity data) of a detection sample collected in real time through the data acquisition module, obtain parameters of the detection sample by calculation through the data analysis module, and compare the parameters of the detection sample with the sample table obtained by the sample table generation module;
- if the parameters of the detection sample are in line with the parameters of a fire category, determine it as a fire and send an early-warning signal;
- if the parameters of the detection sample are not in line with the parameters of any fire category, repeat the above detection, calculation and comparison processes at least twice and calculate mean values, and make comparison using a single mean value or multiple mean values respectively;
- and
- if the mean values are in line with the parameters of a fire category, determine it as a fire and send an early-warning signal;
- and if the mean values are still not in line with the parameters of any fire category, continuously collect detection data and constantly repeat the calculation and comparison processes.
Dependencies are inferred from the claim text.