Verification method and system for smoke particle identification of multi-optical-path photoelectric detector

Abstract

The invention relates to a verification method and system for smoke particle identification of a multi-light-path photoelectric detector, and the method comprises the steps: introducing non-fire smoke or fire smoke into a calibration smoke box, and reading the signal amplitude of each light path channel of all detectors in the calibration smoke box; the signal amplitude of each light path channel collected by the detector is analyzed through curve data of the upper computer, and the weight ratio of the fire smoke and the non-fire smoke in the current environment is calculated so as to judge the environment state of the detector; the verification method and system for smoke particle identification of the multi-optical-path photoelectric detector are ingenious in design, different smoke particles are introduced, the concentration of the smoke particles in the test box is read, the rising signal amplitude of the different smoke particles is basically consistent with the environment in normal use or when a fire occurs, and the smoke particles are identified by analyzing the signal amplitude and calculating the weight ratio. The smoke type can be identified more accurately, and false alarm and missing alarm are reduced; through the method, the functions of identifying the non-fire smoke particles and the fire smoke particles can be verified, and the identification precision is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of fire fighting equipment, and more specifically to a verification method and system for smoke particle recognition of a multi-light path photoelectric detector. Background Art

[0002] In real life, in addition to smoke generated by fire, there may be various other types of smoke or pollutants in the environment, such as cooking fumes, water vapor, industrial dust, etc. Therefore, the detector needs to be tested for sensitivity in a simulated fire environment and a non-fire environment before leaving the factory;

[0003] The sensitivity test method of existing photoelectric smoke detectors is usually to test the detector in a standard smoke box and record the smoke concentration in the smoke box when the detector alarms. However, since the smoke particles in the smoke box are close to the real fire smoke particles, this method can only identify the smoke particles in the fire situation, and cannot verify the identification of smoke particles in non-fire smoke environments such as water vapor and dust. Therefore, it is very easy to produce false alarms in non-fire smoke environments. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a verification method for smoke particle identification of a multi-light path photoelectric detector in view of the above-mentioned defects of the prior art.

[0005] On the one hand, the technical solution adopted by the present invention to solve its technical problem is: a verification method for smoke particle identification by a multi-path photoelectric detector, wherein the identification method comprises the following steps:

[0006] In a smoke-free environment, synchronize the detector's static background following value with the current environment detection value;

[0007] Introduce non-fire smoke or fire smoke into the calibration smoke box and wait for the test concentration in the calibration smoke box to reach the preset value;

[0008] Read the signal amplitude of each optical path channel of all detectors in the calibration smoke box;

[0009] The signal amplitude of each optical path channel collected by the detector is analyzed through the upper computer curve data, and the weight ratio of the current environment fire smoke and non-fire smoke is calculated according to the detector data to judge the current state of the detector. If the weight ratio of the non-fire smoke recognized by the detector is greater than the weight ratio of the fire smoke when non-fire smoke is introduced, the detector identification type is correct, and the sound and light status indication is normal, then the smoke particle recognition function of the detector is normal; otherwise, the smoke particle recognition function of the detector is abnormal;

[0010] The ink coating machine of the present invention, wherein, when the calibration smoke box needs to be in a smoke-free state, the detectors and the calibration smoke box are electrically connected to and controlled by the host computer, and all the detectors are powered on to keep the internal environment of the calibration smoke box stable;

[0011] The verification method of the present invention, wherein the static background following value of each optical path inside the detector and the filter value in the current environment are read, the host computer processes the read data and confirms whether the static background following value of the detector and the current filter value curve are synchronized, and if they are synchronized, it is determined to be a stable state, otherwise it continues to wait until it is stable;

[0012] The verification method of the present invention, wherein, in the process of continuously reading the smoke sampling value of the detector, it is determined whether the amplitude value of the signal of each channel in the calibration smoke box is within the error range, and if so, the experimental data is collected and the experimental phenomenon is recorded;

[0013] The verification method of the present invention, wherein the detector sends a first average photocurrent corresponding to the particle scattered light under near-infrared light and a second average photocurrent corresponding to the particle scattered light under blue light to the host computer; the host computer analyzes the difference in photocurrent signals under two different wavelengths, and identifies the type of smoke particles as fire smoke particles or non-fire smoke particles according to a preset threshold or standard;

[0014] On the other hand, the present invention also provides a verification system for multi-optical path fire smoke particle identification, which includes a calibration smoke box, a plurality of photoelectric detectors and a host computer; the top of the calibration smoke box is provided with a plurality of air holes, and the bottom is provided with a smoke inlet for inserting a smoke pipe; a plurality of the photoelectric detectors are fixedly installed in the calibration smoke box; the photoelectric detector is used to read the signal amplitude in the optical path channel and send it to the host computer; the host computer analyzes the signal amplitude of each optical path channel collected by the detector, calculates the weight ratio of the current environment fire smoke and non-fire smoke according to the detector data, and judges the state of the detector at this time, if when non-fire smoke is introduced, the detector identifies that the weight ratio of non-fire smoke is greater than the weight ratio of fire smoke, the detector identification type is correct, and the sound and light state indication is normal, then the smoke particle identification function of the detector is normal; otherwise, the smoke particle identification function of the detector is abnormal;

[0015] In the verification system of the present invention, when the calibration smoke box needs to be in a smoke-free state, the detectors and the calibration smoke box are electrically connected to and controlled by the host computer, and all the detectors are powered on to keep the internal environment of the calibration smoke box stable.

[0016] The beneficial effects of the present invention are as follows: the verification method and system design of the multi-path photoelectric detector smoke particle identification are ingenious. When in use, the multi-path photoelectric smoke detector is placed in a test box, powered on and operated stably for a period of time in a smoke-free environment, and the static background following value of the detector is synchronized with the current environmental detection value; after synchronization, the test box is started, different smoke particles are introduced, and the smoke particle concentration in the test box is read so that the signal amplitude of the rising different smoke particles is basically consistent with the environment during normal use or when a fire occurs. The host computer synchronously collects the experimental process data of each channel of the detector, and the host computer analyzes and determines whether it is recognized normally to complete the verification. By analyzing the signal amplitude and calculating the weight ratio, the smoke type can be identified more accurately, reducing false alarms and missed alarms; through this method, the functions of identifying non-fire smoke particles and fire smoke particles can be verified, and the recognition accuracy is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be further described below in conjunction with the accompanying drawings and embodiments. The drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work:

[0018] Figure 1 It is a flow chart of a verification method for smoke particle recognition of a multi-light path photoelectric detector in Embodiment 1 of the present invention;

[0019] Figure 2 It is a schematic diagram of the principle of the verification system for smoke particle recognition using a multi-light-path photoelectric detector in the second embodiment of the present invention. DETAILED DESCRIPTION

[0020] The terms "first", "second", "third" and "fourth" etc. in the specification and claims of the present invention and the drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or devices.

[0021] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0022] "Multiple" means two or more. "And / or" describes the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the related objects are in an "or" relationship.

[0023] Moreover, the terms "up, down, front, back, left, right, upper end, lower end, longitudinal" and the like indicating directions are all based on the posture and position of the device or equipment described in this solution during normal use.

[0024] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the following will be described clearly and completely in combination with the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are partial embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the protection scope of the present invention.

[0025] Fire smoke particles differ from non-fire smoke particles in several ways, here are some of the main differences:

[0026] 1. Differences in ingredients:

[0027] Fire smoke particles: Microscopic particles that typically contain carbon black, ash, incompletely burned organic material, plastics, and other combustion products.

[0028] Non-fire smoke particles: may be composed of dust, pollen, mold, bacteria, cooking fumes, etc.

[0029] 2. Shape and size:

[0030] Fire smoke particles: They are usually irregular in shape, may contain more edges and uneven surfaces, have a wider size distribution, but usually contain more fine particles.

[0031] Non-fire smoke particles: have various shapes, but are usually regular, such as round or oval, and are relatively uniform in size.

[0032] 3. Optical properties:

[0033] Fire smoke particles: Fire smoke particles absorb light more strongly due to the presence of absorbent substances such as carbon black, and their scattering properties may be more wavelength-dependent.

[0034] Non-fire smoke particles: The scattering characteristics may be more uniform and less absorptive than fire smoke particles.

[0035] 4. Thermal characteristics:

[0036] Fire smoke particles: may be hotter because they are recent products of combustion.

[0037] Non-fire smoke particles: Usually close to ambient temperature.

[0038] Through the above different characteristics, the identification verification based on photoelectric detectors can well distinguish fire smoke particles from non-fire smoke particles. The specific verification directions are as follows:

[0039] 1. Embodiment 1:

[0040] A verification method for smoke particle recognition of a multi-path photoelectric detector according to a preferred embodiment of the present invention is as follows: Figure 1 As shown, the identification method comprises the following steps:

[0041] S10: In a smoke-free environment, synchronize the static background following value of the detector with the current environment detection value;

[0042] By ensuring that the background following value of the detector is synchronized with the actual value in a smoke-free environment, false alarms and missed alarms can be reduced and the measurement accuracy of the detector can be improved.

[0043] Among them, when the calibration smoke box needs to be in a smoke-free state, the detector and the calibration smoke box are electrically connected to and controlled by the host computer, and all the detectors are powered on to keep the internal environment of the calibration smoke box stable; by controlling the detector and the calibration smoke box through the host computer, remote maintenance and calibration can be conveniently performed, reducing the need for on-site operations, and the stable background value means that the detector can still maintain reliable performance after long-term operation, reducing performance degradation caused by environmental changes.

[0044] Furthermore, the static background following value of each optical path inside the detector and the filter value in the current environment are read. By comparing the static background following value and the filter value curve, the detector can be calibrated more accurately to ensure its detection sensitivity and accuracy; the host computer processes the read data and confirms whether the static background following value and the current filter value curve of the detector are synchronized. If they are synchronized, they are considered to be in a stable state. Otherwise, they continue to wait until they are stable, which helps to reduce false alarms caused by improper calibration of the detector; the host computer reads and processes data in real time, so the status of the detector can be continuously monitored, any deviation can be discovered and handled in a timely manner, and the response is sensitive;

[0045] S20: Pass non-fire smoke or fire smoke into the calibration smoke box and wait for the test concentration in the calibration smoke box to reach the preset value; this ensures that the detector faces a known and precise smoke concentration during calibration, thereby improving the accuracy of the calibration; by passing and controlling the smoke concentration in the calibration smoke box, a controllable and repeatable environment can be provided for the testing and calibration of fire detectors, which is crucial to ensuring the performance and reliability of the detectors.

[0046] S30: Read the signal amplitude of each optical path channel of all detectors in the calibration smoke box;

[0047] In the process of continuously reading the smoke sampling value of the detector, it is determined whether the signal amplitude value of each channel in the calibration smoke box is within the error range. If so, the experimental data is collected and the experimental phenomenon is recorded.

[0048] By continuously monitoring and reading the signal amplitude, the detector's measurement results can be ensured to be highly accurate and measurement errors can be reduced. By checking whether the signal amplitudes of all channels are within the error range, the consistency and stability of each optical path channel of the detector can be confirmed, which is beneficial for subsequent identification.

[0049] S40: Analyze the signal amplitude of each optical path channel collected by the detector through the upper computer curve data, calculate the weight ratio of the current environment fire smoke and non-fire smoke according to the detector data, and judge the current state of the detector. If the weight ratio of the detector to identify non-fire smoke is greater than the weight ratio of fire smoke when non-fire smoke is introduced, the detector identification type is correct, and the sound and light status indication is normal, then the smoke particle identification function of the detector is normal; otherwise, the smoke particle identification function of the detector is abnormal. By analyzing the signal amplitude and calculating the weight ratio, the smoke type can be identified more accurately, reducing false alarms and missed alarms; through the above design, the smoke particle identification function of the detector has been effectively tested and verified, ensuring its high performance and reliability in practical applications, which is crucial to improving the overall effectiveness of the fire safety system.

[0050] Among them, the detector sends the first average photocurrent corresponding to the particle scattered light under near-infrared light and the second average photocurrent corresponding to the particle scattered light under blue light to the host computer; the host computer analyzes the difference in photocurrent signals under two different wavelengths, and identifies the type of smoke particles according to a preset threshold or standard to verify that they are fire smoke particles or non-fire smoke particles, and the identification is accurate; in this embodiment, the multi-path detection process can also adopt a multi-path photoelectric smoke fire detector precision calibration method and system described in the applicant's prior application CN202410408038.6. The specific content is not repeated here. By adopting a calibration method of signal amplitude normalization processing, the problem of deviation in calibration parameters caused by long-term contamination of the comparison detector is solved, and the product smoke particle recognition performance is improved;

[0051] In summary, the verification method and system design of multi-path photoelectric detector smoke particle recognition are ingenious. When in use, the multi-path photoelectric smoke detector is placed in a test box, powered on and operated stably for a period of time in a smoke-free environment, and the static background following value of the detector is synchronized with the current environmental detection value; after synchronization, the test box is started, different smoke particles are introduced, and the smoke particle concentration in the test box is read so that the signal amplitude of different smoke particles is basically consistent with the environment during normal use or when a fire occurs. The host computer synchronously collects the experimental process data of each channel of the detector, and the host computer analyzes and determines whether it is recognized normally to complete the verification. Through this method, the functions of identifying non-fire smoke particles and fire smoke particles can be verified, which improves the recognition accuracy.

[0052] Embodiment 2:

[0053] A verification system for multi-optical fire smoke particle recognition, such as Figure 2 As shown, it includes a calibration smoke box 11, multiple photoelectric detectors 12 and a host computer 13; the top of the calibration smoke box 11 is provided with multiple air holes 111, and the bottom is provided with a smoke inlet 112 for inserting the smoke pipe; multiple photoelectric detectors 12 are fixedly installed in the calibration smoke box 11; the photoelectric detector 12 is used to read the signal amplitude in the optical path channel and send it to the host computer 13; the host computer 13 analyzes the signal amplitude of each optical path channel collected by the detector photoelectric detector 12, calculates the weight ratio of the current environment fire smoke and non-fire smoke according to the detector data, and judges the state of the detector at this time. For example, when non-fire smoke is introduced, the detector recognizes that the weight ratio of non-fire smoke is greater than the weight ratio of fire smoke, the detector identification type is correct, and the sound and light status indication is normal, then the smoke particle recognition function of the detector is normal; otherwise, the smoke particle recognition function of the detector is abnormal.

[0054] Wherein, when the calibration smoke box needs to be in a smoke-free state, the detectors and the calibration smoke box are electrically connected to and controlled by the host computer, and all the detectors are powered on to keep the internal environment of the calibration smoke box stable.

[0055] The verification method and system design of multi-path photoelectric detector smoke particle recognition are ingenious. When in use, the multi-path photoelectric smoke detector is placed in a test box, powered on and operated stably for a period of time in a smoke-free environment, and the static background following value of the detector is synchronized with the current environmental detection value; after synchronization, the test box is started, different smoke particles are introduced, and the smoke particle concentration in the test box is read so that the signal amplitude of different smoke particles is basically consistent with the environment during normal use or when a fire occurs. The host computer synchronously collects the experimental process data of each channel of the detector, and the host computer analyzes and determines whether it is recognized normally to complete the verification. Through this method, the functions of identifying non-fire smoke particles and fire smoke particles can be verified, which improves the recognition accuracy.

[0056] It should be understood that those skilled in the art can make improvements or changes based on the above description, and all these improvements and changes should fall within the scope of protection of the appended claims of the present invention.

Claims

1. A verification method for smoke particle identification using a multi-path photoelectric detector, characterized in that: The identification method comprises the following steps: In a smoke-free environment, synchronize the detector's static background following value with the current environment detection value; Introduce non-fire smoke or fire smoke into the calibration smoke box and wait for the test concentration in the calibration smoke box to reach the preset value; Read the signal amplitude of each optical path channel of all detectors in the calibration smoke box; The signal amplitude of each optical path channel collected by the detector is analyzed through the upper computer curve data, and the weight ratio of fire smoke and non-fire smoke in the current environment is calculated according to the detector data to determine the current state of the detector. For example, when non-fire smoke is introduced, the detector recognizes that the weight ratio of non-fire smoke is greater than the weight ratio of fire smoke, the detector recognition type is correct, and the sound and light status indication is normal, then the smoke particle recognition function of the detector is normal; otherwise, the smoke particle recognition function of the detector is abnormal.

2. The verification method according to claim 1, characterized in that: When the calibration smoke box needs to be in a smoke-free state, the detectors and the calibration smoke box are electrically connected to and controlled by the host computer, and all the detectors are powered on to keep the internal environment of the calibration smoke box stable.

3. The verification method according to claim 1, characterized in that: The static background following value of each optical path inside the detector and the filtering value in the current environment are read. The host computer processes the read data and confirms whether the static background following value and the current filtering value curve of the detector are synchronized. If they are synchronized, it is considered to be a stable state. Otherwise, it continues to wait until it is stable.

4. The verification method according to claim 1, characterized in that: In the process of continuously reading the smoke sampling value of the detector, it is determined whether the signal amplitude value of each channel in the calibration smoke box is within the error range. If so, the experimental data is collected and the experimental phenomenon is recorded.

5. The verification method according to claim 1, characterized in that: The detector sends a first average photocurrent corresponding to particle scattered light under near-infrared light and a second average photocurrent corresponding to particle scattered light under blue light to the host computer; the host computer analyzes the difference in photocurrent signals under two different wavelengths and identifies the type of smoke particles as fire smoke particles or non-fire smoke particles according to a preset threshold or standard.

6. A verification system for multi-optical path fire smoke particle identification, characterized in that: It includes a calibration smoke box, multiple photoelectric detectors and a host computer; the top of the calibration smoke box is provided with multiple air holes, and the bottom is provided with a smoke inlet for inserting a smoke pipe; multiple photoelectric detectors are fixedly installed in the calibration smoke box; the photoelectric detector is used to read the signal amplitude in the optical path channel and send it to the host computer; the host computer analyzes the signal amplitude of each optical path channel collected by the detector, calculates the weight ratio of the current environment fire smoke and non-fire smoke according to the detector data, and judges the state of the detector at this time. When non-fire smoke is introduced, the detector recognizes that the weight ratio of non-fire smoke is greater than the weight ratio of fire smoke, the detector identification type is correct, and the sound and light status indication is normal, then the smoke particle recognition function of the detector is normal; otherwise, the smoke particle recognition function of the detector is abnormal.

7. The verification system according to claim 6, characterized in that: When the calibration smoke box needs to be in a smoke-free state, the detectors and the calibration smoke box are electrically connected to and controlled by the host computer, and all the detectors are powered on to keep the internal environment of the calibration smoke box stable.

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