CN116858373A

CN116858373A - Flame detection method, flame detector, flame detection system and storage medium

Info

Publication number: CN116858373A
Application number: CN202310795770.9A
Authority: CN
Inventors: 潘衡; 邹珂; 钟子恒; 时伟雄
Original assignee: Chengdu Feiyingsi Technology Co ltd
Current assignee: Chengdu Feiyingsi Technology Co ltd
Priority date: 2023-06-30
Filing date: 2023-06-30
Publication date: 2023-10-10

Abstract

The application provides a flame detection method, a flame detector, a flame detection system and a storage medium, which can solve the problems that flame identification is not far enough and the flame detection cost is increased in the prior art, can improve the flame identification distance and reduce the flame detection cost. The flame detection method comprises the following steps: acquiring first voltage data of a first infrared identification sensor; processing the first voltage data according to a preset reference voltage to obtain a first preprocessing value; acquiring second voltage data of a second infrared identification sensor; processing the second voltage data according to the preset reference voltage to obtain a second preprocessing value; and outputting a flame judgment signal according to the first pretreatment value and the ratio of the first pretreatment value to the second pretreatment value.

Description

Flame detection method, flame detector, flame detection system and storage medium

Technical Field

The present application relates to the field of flame detection, and in particular, to a flame detection method, a flame detector, a flame detection system, and a storage medium.

Background

The common flame detector is based on infrared identification or machine vision, which is a product design thought taking fire detection as a basic requirement, and needs to reliably identify actual flame and ensure low false alarm rate of flame alarm.

In addition, the flame detection product needs to meet the national standard of special fire detectors. According to national standard GB15631-2008 of special fire detectors, flame detection products need to meet one of three levels of sensitivity, distributed as level I (25 meters), level II (17 meters) and level III (12 meters). That is, the highest requirement of flame detectors is to be able to identify flames within 25 meters.

According to the existing national standard requirements, flame identification beyond 25 meters requires the arrangement of other flame detectors, which undoubtedly increases the flame detection cost.

Disclosure of Invention

The application aims to provide a flame detection method, a flame detector, a flame detection system and a storage medium, so as to solve the problems that flame identification is not far enough and the flame detection cost is increased in the prior art, improve the flame identification distance and reduce the flame detection cost.

To solve the above technical problem, in a first aspect, the present application provides a flame detection method, which is applied to a flame detector, wherein the flame detector includes a first infrared identification sensor for receiving a signal of a flame specific wave band and a second infrared identification sensor for receiving a signal of an environmental interference wave band; the flame detection method comprises the following steps:

acquiring first voltage data of the first infrared identification sensor;

processing the first voltage data according to a preset reference voltage to obtain a first preprocessing value;

acquiring second voltage data of the second infrared identification sensor;

processing the second voltage data according to the preset reference voltage to obtain a second preprocessing value;

and outputting a flame judgment signal according to the first pretreatment value and the ratio of the first pretreatment value to the second pretreatment value.

Optionally, the outputting the flame determination signal according to the first pretreatment value and the ratio of the first pretreatment value to the second pretreatment value includes:

confirming a preset range in which the first pretreatment numerical value is located; wherein the lowest value of the preset range is greater than a lowest threshold value;

judging whether the ratio of the first pretreatment numerical value to the second pretreatment numerical value is larger than or equal to a target threshold corresponding to the preset range;

if yes, outputting a signal of flame existence;

if not, a signal that no flame is present is output.

Optionally, the preset range at least includes a first preset range and a second preset range; when the lowest value of the first preset range is greater than or equal to the highest value of the second preset range, the target threshold corresponding to the first preset range is greater than the target threshold corresponding to the second preset range.

Optionally, the method further comprises:

before acquiring second voltage data of the second infrared identification sensor, confirming that the first preprocessing value is greater than or equal to a lowest target threshold;

controlling the flame detector to be switched from a standby state to a working state; when the flame detector is in the standby state, the first infrared identification sensor performs voltage data acquisition operation, and the second infrared identification sensor does not perform voltage data acquisition operation; and when the flame detector is in the working state, the first infrared identification sensor and the second infrared identification sensor execute the operation of collecting voltage data.

Optionally, the method further comprises:

and when the first pretreatment value is smaller than the lowest target threshold value, controlling the flame detector to be in the standby state.

Optionally, the first voltage data includes a plurality of voltage values collected at a preset sampling frequency;

the processing the first voltage data according to a preset reference voltage to obtain a first preprocessing value includes:

subtracting the reference voltage from each voltage value in the first voltage data to obtain an absolute value;

calculating a mean value according to each absolute value; wherein the average value is a first pretreatment value.

Optionally, the second voltage data includes a plurality of voltage values collected at a preset sampling frequency;

the processing the second voltage data according to the preset reference voltage to obtain a second preprocessing value includes:

subtracting the reference voltage from each voltage value in the second voltage data to obtain an absolute value;

calculating a mean value according to each absolute value; wherein the average value is a second pretreatment value.

In a second aspect, there is provided a flame detector comprising:

the first infrared identification sensor is used for receiving flame specific wave band signals;

the second infrared identification sensor is used for receiving the environmental interference wave band signals;

a processor configured to perform the flame detection method of any of the first aspects when run-time.

In a third aspect, there is provided a flame detection system comprising:

the flame detector of the second aspect;

a signal forwarding apparatus comprising: a short-range wireless communication module for establishing communication connection with a plurality of the flame detectors; and a cellular communication module for uploading data transmitted by the flame detector.

In a fourth aspect, there is provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the method of any of the first aspects above when run.

Based on the flame detection method, the corresponding flame identification algorithm is set on the basis of the first infrared identification sensor for receiving the flame specific wave band signals and the second infrared identification sensor for receiving the environment interference wave band signals, so that the flame at 36 meters can be accurately detected, when the flame burns for a long time at 48 meters, the flame can be accurately detected, the sensitivity is far higher than the I-level (25 meters) sensitivity of the national standard GB15631-2008, when the flame detector is arranged, the flame detector can be arranged between 36 meters and 48 meters, the arrangement quantity of the flame detector is reduced, the problem that the flame identification is not far enough, the flame detection cost is increased in the prior art is solved, the flame identification distance is increased, and the flame detection cost is reduced.

The flame detector, the flame detection system and the storage medium provided by the application belong to the same application conception as the flame detection method, so that the flame detector, the flame detection system and the storage medium have the same beneficial effects and are not repeated here.

Drawings

Fig. 1 is a schematic view of an application scenario of a flame detection system according to an exemplary embodiment of the present application;

FIG. 2 is a perspective view of the flame detector of FIG. 1;

FIG. 3 is an exploded view of the flame detector of FIG. 1;

FIG. 4 is a flow chart of a flame detection method based on a flame detection system according to an exemplary embodiment of the present application;

FIG. 5 is a flow chart of another flame detection method according to an exemplary embodiment of the present application;

FIG. 6 is a graph of experimental data for detection of a flame at 36 meters;

FIG. 7 is a graph of another test data plot of a flame at 36 meters;

fig. 8 is a graph of experimental data for detection of a flame at 48 meters.

Detailed Description

Specific embodiments of the present application will be described in more detail below with reference to the drawings. Advantages and features of the application will become more apparent from the following description and claims. It should be noted that the drawings are in a very simplified form and are all to a non-precise scale, merely for convenience and clarity in aiding in the description of embodiments of the application.

In the description of the present application, it should be understood that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", etc., are based on the directions or positional relationships shown in the drawings, are merely for convenience in describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present application.

Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.

Fig. 1 is a schematic diagram of an application scenario of a flame detection system according to an exemplary embodiment of the present application. As shown in fig. 1, an embodiment of the present application first provides a flame detection system including a flame detector 10 and a signal forwarding device 20. Next, the flame detector 10 and the signal transfer device 20 will be described one by one.

Referring to fig. 1, 2 and 3, fig. 2 is a perspective view of the flame detector of fig. 1, and fig. 3 is an exploded view of the flame detector of fig. 1. As shown in fig. 2 and 3, the flame detector 10 includes: a housing 11; a processor 12 disposed in the housing 11; an infrared identification sensor 14 coupled to the processor 12 for receiving flame-specific band signals; an image acquisition module 130, coupled to the processor 12, for acquiring an image after the infrared identification sensor 14 identifies a flame-specific band signal; a first short-range wireless communication module 15, connected to the processor 12, for forwarding the image acquired by the image acquisition module 130; a first cellular communication module (not shown) is connected to the processor 12 for uploading the image acquired by the image acquisition module 130 to the cloud server 30.

As shown in fig. 2 and 3, the housing 11 may include a bottom cover 112 and a cover case 111 covering the bottom cover 112. The cover 111 covers the bottom cover 112 to form a rectangular-like block having a cavity in which the components of the flame detector 10 may be disposed.

Optionally, as shown in fig. 3, the infrared identification sensor 14 includes: a first infrared identification sensor 141 and a second infrared identification sensor 142 different from the first infrared identification sensor 141.

Specifically, the first infrared recognition sensor 141 is an infrared sensor having a center wavelength of 4.2 micrometers; the second infrared identification sensor is an infrared sensor having a center wavelength of 5.0 microns.

It should be noted that, the first infrared identification sensor and the second infrared identification sensor may be replaced by other central wavelength infrared sensors, as long as the first infrared identification sensor can identify a flame-specific band signal and the second infrared identification sensor can identify an environmental interference band signal.

Optionally, the flame detector 10 may further include: a photography light supplement lamp is connected to the processor 12.

Specifically, openings in the housing 11 corresponding to the first infrared identification sensor 141, the second infrared identification sensor 142, the photography light supplement lamp, and the image acquisition module 130 are all disposed on the first side of the housing 11. As shown in fig. 2 and 3, the photographic light supplement lamps include a first photographic light supplement lamp 131 and a second photographic light supplement lamp 132, and the first photographic light supplement lamp 131 and the second photographic light supplement lamp 132 are disposed at two sides of the image acquisition module 130.

Alternatively, as shown in fig. 2 and 3, the first side of the housing 11 may also have a reset button 171 and a photographing button 172. Pressing reset button 171 is used to restart flame detector 10 and pressing photographing button 172 allows image acquisition module 130 to photograph.

Alternatively, the first short-range wireless communication module 15 and the antenna 151 of the first cellular communication module protrude from the second side of the housing 11; wherein the first side and the second side are opposite sides.

Specifically, the first short-range wireless communication module 15 may be a Lora module or a bluetooth module, and the first cellular communication module may be a 4G communication module or a 5G communication module.

Optionally, as shown in fig. 3, the flame detector 10 may further include: a battery 16 connected to the processor 12.

As shown in fig. 1, 2 and 3, the flame detector 10 may further include a bracket 101, which is conveniently fixed to the wall surface by the bracket 101.

As shown in fig. 1, the signal forwarding device 20 includes a second short-range wireless communication module and a second cellular communication module. Wherein the second short-range wireless communication module is configured to receive the image sent by the first short-range wireless communication module 15; the second cellular communication module is configured to upload the image received by the second short-range wireless communication module.

Specifically, the second short-range wireless communication module may be a Lora module or a bluetooth module, and the second cellular communication module may be a 4G communication module or a 5G communication module.

For the flame detection system, as shown in fig. 1, it is considered that the signal forwarding device 20 is powered by the mains, and the second cellular communication module in the signal forwarding device 20 may be in a continuous connection state with the uplink channel between the base station 31; the processor is used for sending a wake-up signal to the image acquisition module after the infrared identification sensor receives a flame specific wave band signal, and the image acquisition module enters an operation mode from a standby mode to acquire images after receiving the wake-up signal; the processor is further used for sending the image acquired by the image acquisition module to the signal forwarding device through the first short-distance wireless communication module; the second cellular communication module is configured to upload the image after the second short-range wireless communication module receives the image sent by the first short-range wireless communication module.

Based on the flame detection system, the image data in the flame detector is sent to the signal forwarding device through the short-distance wireless communication module, and the signal forwarding device is responsible for the long-distance uploading function of the image data with higher power consumption, so that the power consumption of the flame detector is reduced, and the battery endurance time of the flame detector can be increased; in addition, one signal forwarding device can be connected with a plurality of flame detectors, only the signal forwarding device is required to be wired, so that the wiring cost is reduced, the problem that the power consumption of the flame detectors in the prior art is high is solved, the cruising ability of flame detection products can be improved, and the cost can be reduced.

In a second aspect, the application further provides a flame detection method based on the flame detection system. Referring to fig. 4, fig. 4 is a flow chart of a flame detection method based on a flame detection system according to an exemplary embodiment of the application, including steps S41 to S44, wherein:

s41, confirming that the infrared identification sensor receives a flame specific wave band signal;

s42, controlling the image acquisition module to enter an operation mode from a standby mode to acquire images;

s43, the image acquired by the image acquisition module is sent to a signal forwarding device through a first short-distance wireless communication module;

and S44, transmitting the image through a second cellular communication module of the signal forwarding device.

Optionally, the flame detection method may further include: and after the image is sent to the signal forwarding device, controlling the image acquisition module to enter a standby mode from an operation mode. When the image acquisition module is not required to acquire images, the image acquisition module is controlled to enter a standby mode, so that the power consumption can be further reduced.

Optionally, the flame detection method may further include: and uploading the image acquired by the image acquisition module through the first cellular communication module. The flame detector can directly upload the acquired image to the cloud server through the first cellular communication module to serve as comparison data. The staff can further confirm whether the fire accident happens by comparing the two data at the cloud server.

In order to realize step S41, namely, to confirm that the infrared identification sensor receives the signal of the flame specific wave band, the application further provides a flame detection method applied to the flame detector. Referring to fig. 5, fig. 5 is a flowchart of another flame detection method according to an exemplary embodiment of the application, including steps S51 to S55, wherein:

s51, acquiring first voltage data of the first infrared identification sensor.

The first voltage data comprises a plurality of voltage values acquired at a preset sampling frequency. For example, the first infrared identification sensor collects 50 voltage values every 25 milliseconds at a sampling frequency of 50 Hz.

After the first voltage data is acquired, step S52 is performed.

S52, processing the first voltage data according to a preset reference voltage to obtain a first preprocessing value.

Further, step S52 may include the steps of:

s521, subtracting the reference voltage from each voltage value in the first voltage data to obtain an absolute value.

S522, calculating a mean value according to each absolute value; wherein the average value is a first pretreatment value.

And S53, acquiring second voltage data of the second infrared identification sensor.

After the first preprocessing value is acquired, step S56 and step S57 may be performed first when step S53 is performed, where:

s56, before acquiring the second voltage data of the second infrared identification sensor, confirming that the first preprocessing value is greater than or equal to a lowest target threshold.

Wherein the lowest target threshold is a manually set value, for example, the lowest target threshold may be set to 20mv or other values. The present application is not particularly limited in this regard.

After determining that the first preprocessing value is greater than or equal to the lowest target threshold, step S57 is performed. If the first pretreatment value is smaller than the minimum target threshold, the flame detector is controlled to be in the standby state, and the step S51 is executed in a return mode. When the first infrared identification sensor for receiving the flame specific wave band signal does not receive the obvious flame specific wave band signal, the operation power consumption of the flame detector can be further reduced and the battery endurance time of the flame detector can be increased by controlling other components of the flame detector to be in a low-power-consumption operation mode in a standby state.

S57, controlling the flame detector to be switched from a standby state to an operating state.

When the flame detector is in the standby state, the first infrared identification sensor performs voltage data acquisition operation, and the second infrared identification sensor does not perform voltage data acquisition operation; and when the flame detector is in the working state, the first infrared identification sensor and the second infrared identification sensor execute the operation of collecting voltage data.

After controlling the flame detector to switch from the standby state to the operating state, step S53 is performed. The second voltage data comprises a plurality of voltage values acquired at a preset sampling frequency. For example, the second infrared identification sensor collects 50 voltage values every 25 milliseconds at a sampling frequency of 50 Hz.

After the second voltage data is acquired, step S54 is performed.

S54, processing the second voltage data according to the preset reference voltage to obtain a second preprocessing value.

Further, step S54 may include the steps of:

s541, subtracting the reference voltage from each voltage value in the second voltage data to obtain an absolute value.

S542, calculating a mean value according to each absolute value; wherein the average value is a second pretreatment value.

After the first pretreatment value and the second pretreatment value are acquired, step S55 is performed.

S55, outputting a flame judgment signal according to the first pretreatment value and the ratio of the first pretreatment value to the second pretreatment value.

Specifically, step S55 may include the steps of:

s551, confirming a preset range where the first pretreatment numerical value is located.

Wherein the lowest value of the preset range is greater than a lowest threshold. The preset range at least comprises a first preset range and a second preset range; when the lowest value of the first preset range is greater than or equal to the highest value of the second preset range, the target threshold corresponding to the first preset range is greater than the target threshold corresponding to the second preset range.

For example, the first preset range is between 50mv and 100mv, and the corresponding target threshold is 6; the first preset range is between 20mv and 50mv, and the corresponding target threshold is 4.

S552, judging whether the ratio of the first pretreatment value to the second pretreatment value is greater than or equal to a target threshold corresponding to the preset range.

S553, if yes, outputting a signal of flame existence.

S554, if not, outputting a signal that there is no flame.

The inventor tests according to the flame detection method shown in fig. 5 according to the test environment of the national standard GB15631-2008 of the special fire detector, and the test data are shown in fig. 6, 7 and 8. Fig. 6 is a diagram of detection experiment data of a flame at 36 m, fig. 7 is another diagram of detection experiment data of a flame at 36 m, and fig. 8 is a diagram of detection experiment data of a flame at 48 m. In fig. 6, 7 and 8, the horizontal axis represents the number of sampling points (sampling frequency is 50 Hz), and the vertical axis represents the voltage value (unit is mv).

For a detection experiment in which a flame was located at 36 m, the purple waveform 1 located in the upper half of fig. 6 and the waveform 1 located in the upper half of fig. 7 were the electrical signal values (in mv) of the first infrared recognition sensor of 4.2 microns, the yellow waveform 2 in the upper half of fig. 6 and the waveform 2 in the upper half of fig. 7 were the electrical signal values (in mv) of the second infrared recognition sensor of 5.0 microns, and the dark blue horizontal line 3 in the upper half of fig. 6 and the line 3 in the upper half of fig. 7 were the reference voltage values (in mv). The green waveform 4 located in the lower half of fig. 6 and the waveform 4 located in the lower half of fig. 7 are the first pretreatment value (in mv), the light blue waveform 5 located in the lower half of fig. 6 and the waveform 5 located in the lower half of fig. 7 are the ratio of the first pretreatment value to the second pretreatment value (the ratio after 100 times magnification), the red waveform 6 located in the lower half of fig. 6 and the waveform 6 located in the lower half of fig. 7 are the flame recognition result (0 is that no flame is recognized, 1000 is that flame is recognized).

For a detection experiment in which a flame is located at 48 meters, the waveform 7 located in the upper half of fig. 8 is the electrical signal value (in mv) of the first infrared identification sensor of 4.2 micrometers, the waveform 8 located in the upper half of fig. 8 is the electrical signal value (in mv) of the second infrared identification sensor of 5.0 micrometers, and the line 9 in the upper half of fig. 8 is the reference voltage value (in mv). The waveform 10 in the lower half of fig. 8 is a first pretreatment value (in mv), the waveform 11 in the lower half of fig. 8 is a ratio of the first pretreatment value to the second pretreatment value (a ratio amplified 100 times), and the waveform 12 in the lower half of fig. 8 is a flame recognition result (0 is a flame not recognized, 1000 is a flame recognized).

According to the experimental results shown in fig. 6, 7 and 8, the flame detection method shown in fig. 5 can be used for accurately detecting the flame at 36 meters, and can accurately detect the flame when the flame burns for a long time at 48 meters, which is far higher than the sensitivity of the class I (25 meters) of the national standard GB15631-2008, and the flame detector can be arranged between 36 meters and 48, so that the number of the arranged flame detectors is reduced, the problem that the flame is not far enough to increase the flame detection cost in the prior art is solved, the flame identification distance is increased, and the flame detection cost is reduced.

The embodiment of the application also provides a storage medium, in which a computer program is stored, wherein the computer program is configured to perform the steps of any of the method embodiments described above when run.

Specifically, in the present embodiment, the storage medium may include, but is not limited to: a usb disk, a Read-only memory (ROM), a random access memory (RandomAccess Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing a computer program.

The above embodiments may be implemented in whole or in part by software, hardware (e.g., circuitry), firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.

It should be understood that the term "and/or" is merely an association relationship describing the associated object, and means that three relationships may exist, for example, a and/or B may mean: there are three cases, a alone, a and B together, and B alone, wherein a, B may be singular or plural. In addition, the character "/" herein generally indicates that the associated object is an "or" relationship, but may also indicate an "and/or" relationship, and may be understood by referring to the context.

In the present application, "at least one" means one or more, and "a plurality" means two or more. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.

It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or other various media capable of storing program codes.

The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A flame detection method applied to a flame detector, wherein the flame detector comprises a first infrared identification sensor for receiving a flame specific wave band signal and a second infrared identification sensor for receiving an environment interference wave band signal; the flame detection method comprises the following steps:

acquiring first voltage data of the first infrared identification sensor;

acquiring second voltage data of the second infrared identification sensor;

2. The method of claim 1, wherein outputting a flame decision signal based on the first pretreatment value and a ratio of the first pretreatment value to the second pretreatment value comprises:

if yes, outputting a signal of flame existence;

if not, a signal that no flame is present is output.

3. The method of claim 2, wherein the preset ranges include at least a first preset range and a second preset range; when the lowest value of the first preset range is greater than or equal to the highest value of the second preset range, the target threshold corresponding to the first preset range is greater than the target threshold corresponding to the second preset range.

4. The method as recited in claim 2, further comprising:

5. The method as recited in claim 4, further comprising:

6. The method of claim 1, wherein the first voltage data comprises a plurality of voltage values acquired at a preset sampling frequency;

7. The method of claim 1, wherein the second voltage data comprises a plurality of voltage values acquired at a preset sampling frequency;

8. A flame detector, comprising:

a processor arranged to perform the flame detection method of any of claims 1 to 7 when run.

9. A flame detection system, comprising:

the flame detector of claim 8;

10. A storage medium, characterized in that the storage medium has stored therein a computer program arranged to perform the flame detection method of any of claims 1 to 7 when run.