Pyrolysis particle detection method and device

Abstract

The invention discloses a pyrolysis particle detection method and device, relates to the technical field of pyrolysis particle detection, and solves the problem that existing pyrolysis particle methods are designed and realized based on a laser sensor and a gas sensor; the laser sensor and the gas sensor are high in power consumption, so that additional power supplies need to be added in design and use of the pyrolysis particle detectors, or the number of the pyrolysis particle detectors loaded on a host is reduced, and more negative effects are brought to construction wiring and customer use. A laser sensor and a gas sensor are high in cost under the current technical condition and are not beneficial to popularization and application of products; the scattered light intensity of light scattered by pyrolysis particles is obtained through a pyrolysis particle detection device, and the scattered light intensity is converted into a current signal; analyzing the current signal to obtain the concentration of pyrolysis particles; whether early warning is carried out or not is judged based on the concentration of the pyrolysis particles, and the technical problem is solved.

Description

Technical Field

[0001] The present invention belongs to the field of pyrolysis particle detection, and particularly relates to a pyrolysis particle detection method and device. Background Art

[0002] Pyrolysis particles are nanoscale particles generated during the thermal decomposition of substances, with diameters typically ranging from 1 nanometer to 10 nanometers, much smaller than visible smoke particles; when substances (such as wire insulation, plastics, wood, etc.) reach their ultimate tolerance temperature due to overheating (such as electrical equipment failures, short circuits, overloads, etc.), the chemical bonds within them break, and a pyrolysis reaction occurs, releasing pyrolysis particles; since the generation of pyrolysis particles precedes visible smoke and flames, detecting the concentration of pyrolysis particles is conducive to early warning of fires.

[0003] Currently, in electrical fire monitoring systems, existing pyrolysis particle methods are all designed and implemented based on laser sensors and gas sensors. The high power consumption of laser sensors and gas sensors requires additional power supplies to be added to the design and use of pyrolysis particle detectors, or reduces the number of pyrolysis particle detectors carried by the host, bringing more negative impacts to construction wiring and customer use. At the same time, the cost of laser sensors and gas sensors is relatively high under current technical conditions, which is not conducive to the popularization and application of products.

[0004] Therefore, the present invention proposes a pyrolysis particle detection method and device to solve the above technical problems. Summary of the Invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; for this purpose, the present invention proposes a pyrolysis particle detection method and device to solve the problems that existing pyrolysis particle methods are all designed and implemented based on laser sensors and gas sensors; the high power consumption of laser sensors and gas sensors requires additional power supplies to be added to the design and use of pyrolysis particle detectors, or reduces the number of pyrolysis particle detectors carried by the host, bringing more negative impacts to construction wiring and customer use. At the same time, the cost of laser sensors and gas sensors is relatively high under current technical conditions, which is not conducive to the popularization and application of products.

[0006] To achieve the above object, the first aspect of the present invention provides a pyrolysis particle detection method, including:

[0007] Obtaining the scattered light intensity of the light scattered by pyrolysis particles through a pyrolysis particle detection device, and converting the scattered light intensity into a current signal;

[0008] Analyzing the current signal to obtain the concentration of pyrolysis particles;

[0009] Judging whether to give an early warning based on the concentration of pyrolysis particles.

[0010] Preferably, obtaining the scattered light intensity of the pyrolysis particles scattering light through the pyrolysis particle detection device and converting the scattered light intensity into a current signal includes:

[0011] The pyrolysis particles enter the optical path maze through the pore between the elliptical top cover and the optical maze in the pyrolysis particle detection device; wherein, the optical path maze is composed of a detection light source and a receiving device;

[0012] The detection light source emits light; wherein, the wavelength range of the light is in the blue light range;

[0013] When the light passes through the pyrolysis particles, scattering occurs to form scattered light;

[0014] Based on the receiving device receiving the scattered light and converting the scattered light intensity of the scattered light into a current signal.

[0015] It should be noted that the main reason for choosing blue light is that its wavelength matches the typical size (sub-micron level) of pyrolysis particles, which can efficiently excite Mie scattering and significantly enhance the scattered light intensity; at the same time, blue light is less affected by ambient light when propagating in the air (such as less blue light component in sunlight), which can improve the signal-to-noise ratio and ensure the detection sensitivity and accuracy;

[0016] The receiving device is a photosensitive device (such as a photodiode), and its core function is to detect the blue light intensity scattered by pyrolysis particles and convert it into an electrical signal; through the photoelectric effect, the receiving device linearly converts the light intensity change into a current signal, which is then processed by the circuit and input into the MCU for concentration analysis and warning judgment;

[0017] The current signal is the direct output form of the photosensitive device converting the received scattered light intensity (light energy) into an electrical quantity.

[0018] The present invention constructs an optical path maze by using a blue light source and a low-cost photosensitive device (such as a photodiode), utilizes the matching of the blue light wavelength and the pyrolysis particle size to enhance the scattering signal, and directly converts the scattered light intensity into a current signal through photoelectric conversion, significantly reducing the hardware cost and energy consumption.

[0019] Preferably, the analysis of the current signal includes:

[0020] The initial dark current of the receiving device is collected in real time through a data acquisition device;

[0021] Based on the ambient temperature, the initial dark current is corrected to obtain the target dark current;

[0022] Based on the current signal and the target dark current, the initial concentration of the pyrolysis particles is calculated;

[0023] The concentration of pyrolysis particles is obtained by correcting the initial concentration of pyrolysis particles.

[0024] Preferably, the correction of the initial dark current based on the ambient temperature includes:

[0025] Extracting the initial dark current of the receiving device; wherein, the initial dark current refers to the tiny leakage current generated by non-photon factors such as thermal excitation or internal defects of the device in the receiving device under the condition of no light and standard temperature.

[0026] The target dark current is calculated by the formula A = Ia×(1 + α×e^(((W - ZW)^2) / ZW^2)); where A is the target dark current, Ia is the initial dark current, α is the temperature conversion coefficient, and 0 < α < 1, W is the ambient temperature, and ZW is the standard ambient temperature.

[0027] It should be noted that an increase in temperature will significantly increase the dark current of the photosensitive device. The core reason is that the thermal excitation intensifies, resulting in an increase in the generation of electron-hole pairs in the semiconductor material. At the same time, impurity defects and surface effects will also enhance the non-radiative recombination of carriers, thus forming more leakage current.

[0028] The temperature conversion coefficient α is calibrated by those skilled in the art through experiments based on historical data.

[0029] By introducing an exponential correction formula related to temperature, the influence of ambient temperature change on the dark current of the photosensitive device is effectively compensated, and the accuracy of pyrolysis particle concentration measurement is significantly improved; specifically, the exponential term in the formula quantifies the gain effect of the dark current when the temperature deviates from the standard value in a non-linear manner, while the temperature conversion coefficient accurately reflects the sensitivity of the device material characteristics to temperature; this method avoids the limitations of existing linear compensation and can more accurately reflect the comprehensive influence of complex temperature-dependent mechanisms such as intensified thermal excitation and activation of impurity defects on the dark current, so as to maintain the stability of the detector output under different ambient temperatures, such as high-temperature or low-temperature scenarios, reduce the risk of misjudgment or missed judgment caused by dark current fluctuations, and ultimately ensure the reliability of pyrolysis particle concentration calculation, providing a more accurate basis for fire warning.

[0030] Preferably, the calculation of the initial concentration of pyrolysis particles based on the current signal and the target dark current includes:

[0031] Extracting the target dark current A; marking the current signal as I.

[0032] The initial concentration of pyrolysis particles is calculated by the formula C0 = β×tanh(I)×ln(I - A); where C0 is the initial concentration of pyrolysis particles, β is the current conversion coefficient, and I - A > 1.

[0033] It should be noted that the current conversion coefficient β is calibrated by those skilled in the art based on historical data through experiments;

[0034] For a photosensitive device, the greater the received light intensity, the greater the output current; based on the Lorenz-Mie theory, the scattered light intensity of pyrolysis particles can be expressed as: where, I s is the scattered light intensity, I0 is the incident light intensity, r is the distance between the particle and the receiving end, S(x,m,θ) is the scattered light intensity of a single particle, x is the dimensionless particle size, a dimensionless constant that describes the relationship between the particle size and the light wavelength, x = m0dπ / λ, d is the diameter of the particle, λ is the wavelength of the light source, m0 is the refractive index, and θ is the angle between the light source and the receiving end; it can be seen that the scattered light intensity is related to the particle concentration;

[0035] When the concentration of pyrolysis particles increases, the number of particles per unit volume increases. Each particle will independently produce a scattering phenomenon under the irradiation of a light source (such as blue light). Therefore, the higher the particle concentration, the more particles participate in scattering, and the greater the total scattered light intensity detected by the receiving end, resulting in a higher output current of the photosensitive device.

[0036] Preferably, the correction of the initial concentration of pyrolysis particles includes:

[0037] Obtaining the aging factor of the receiving device;

[0038] Obtaining the concentration of PM2.5 in the environment;

[0039] Marking the aging factor as f and the concentration of PM2.5 as PM;

[0040] Calculating the concentration of pyrolysis particles through the formula C = C0×(1 - θ1×f - θ2×e^(PM / (PM + 1))); where, C is the concentration of pyrolysis particles, and θ1 and θ2 are weighting coefficients.

[0041] It should be noted that the weighting coefficients θ1 and θ2 are set by those skilled in the art according to actual experience;

[0042] When PM2.5 coexists with pyrolysis particles, both will scatter the light of the light source (blue light band), resulting in the output current signal of the photosensitive device containing the superposition contributions of both. If the concentration of PM2.5 is relatively high, the device may misjudge that the concentration of pyrolysis particles is too high.

[0043] Through multi-dimensional correction at the algorithm level (including temperature compensation, device aging factor correction, and PM2.5 interference suppression), the present invention realizes the accurate calculation of the concentration of pyrolysis particles without the need for additional gas sensors, further reducing the device complexity and power consumption requirements; the blue light source replaces the traditional laser to reduce energy consumption, and the photoelectric conversion based on photosensitive devices and the intelligent analysis of the MCU processor not only avoid the use of high-cost sensors but also ensure the detection accuracy through the dynamic correction of the dark current aging factor and the environmental interference suppression algorithm, thus significantly reducing the device power consumption and cost while ensuring sensitivity and reliability.

[0044] Preferably, obtaining the aging factor of the receiving device includes:

[0045] Obtaining the current dark current of the receiving device through a data acquisition device;

[0046] Calculating the difference between the current dark current and the initial dark current, and then dividing it by the initial dark current to obtain the aging factor.

[0047] It should be noted that the dark current is the inherent leakage current of the photosensitive device under the condition of no light illumination. Its magnitude directly reflects the internal defects of the device, the concentration of thermally excited carriers, and the degree of material degradation. As the device ages, the defect density or interface states in the material will gradually increase, resulting in a significant increase in the dark current. By comparing the relative change between the current dark current and the initial value, the aging degree evaluation under different devices or different initial conditions can be standardized, avoiding the interference of absolute values by the environment (such as temperature).

[0048] Preferably, determining whether to give an early warning based on the concentration of pyrolysis particles includes:

[0049] Determining whether the concentration of pyrolysis particles is greater than a preset concentration threshold; if yes, generating a warning message and sending it to the client; if no, continuously monitoring and judging.

[0050] It should be noted that the preset concentration threshold is set by those skilled in the art according to actual experience.

[0051] The threshold set based on experience ensures that an alarm is triggered in a timely manner when the concentration of pyrolysis particles is close to the dangerous level, avoiding potential fires or health hazards.

[0052] The second aspect of the present invention provides a pyrolysis particle detection device, including: a device housing, an optical path maze, and a detection circuit board;

[0053] The optical path maze is used to obtain the scattered light intensity of the light scattered by pyrolysis particles and convert the scattered light intensity into an electric current signal;

[0054] The detection circuit board is used to analyze the electric current signal to obtain the concentration of pyrolysis particles.

[0055] Preferably, the device housing includes an oval top cover and a circular lower fixing plate;

[0056] The optical path maze is composed of a detection light source and a receiving device;

[0057] The optical path maze and the detection circuit board are installed inside the device housing;

[0058] The detection circuit board is installed on the lower fixing plate inside the device housing; among them, the detection circuit board includes an MCU processor, a detection circuit and a power supply circuit.

[0059] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0060] Existing pyrolysis particle methods are all designed and implemented based on laser sensors and gas sensors; the power consumption of laser sensors and gas sensors is relatively high, which makes it necessary to add an additional power supply for the design and use of pyrolysis particle detectors, or reduce the number of pyrolysis particle detectors carried by the host, bringing more negative impacts to construction wiring and customer use. At the same time, the cost of laser sensors and gas sensors is relatively high under the current technical conditions, which is not conducive to the popularization and application of products; the present invention constructs an optical path maze by using a blue light source and low-cost photosensitive devices (such as photodiodes), enhances the scattering signal by using the matching between the blue light wavelength and the pyrolysis particle size, and directly converts the scattered light intensity into a current signal through photoelectric conversion, significantly reducing the hardware cost and energy consumption; at the same time, through multi-dimensional correction at the algorithm level (including temperature compensation, device aging factor correction, and PM2.5 interference suppression), the accurate calculation of the pyrolysis particle concentration is realized without the need for an additional gas sensor, further reducing the device complexity and power consumption requirements; the blue light source replaces the traditional laser to reduce energy consumption, and the photoelectric conversion based on photosensitive devices and the intelligent analysis of the MCU processor not only avoid the use of high-cost sensors, but also ensure the detection accuracy through the dynamic correction of the dark current aging factor and the environmental interference suppression algorithm, thus significantly reducing the device power consumption and cost on the premise of ensuring sensitivity and reliability, enabling the pyrolysis particle detector to be more widely applied to the electrical fire warning system, reducing the demand for additional power supplies, and supporting the deployment of a larger number of detectors, simplifying the construction and use processes. Description of the Drawings

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0062] Figure 1 Schematic diagram of the method steps of an embodiment of the present invention;

[0063] Figure 2 Schematic diagram of the device of an embodiment of the present invention;

[0064] Figure 3 Schematic diagram of the optical maze of an embodiment of the present invention. Specific embodiments

[0065] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative work shall fall within the protection scope of the present invention.

[0066] Please refer to Figure 1 , an embodiment of the first aspect of the present invention provides a pyrolysis particle detection method, including:

[0067] Obtain the scattered light intensity of the light scattered by the pyrolysis particles through a pyrolysis particle detection device, and convert the scattered light intensity into an electrical signal;

[0068] Analyze the electrical signal to obtain the concentration of the pyrolysis particles;

[0069] Judge whether to give an early warning based on the concentration of the pyrolysis particles.

[0070] Obtain the scattered light intensity of the light scattered by the pyrolysis particles through a pyrolysis particle detection device, and convert the scattered light intensity into an electrical signal, including:

[0071] The pyrolysis particles enter the optical path maze through the pore between the elliptical top cover and the optical maze in the pyrolysis particle detection device; wherein, the optical path maze is composed of a detection light source and a receiving device;

[0072] Emit light through the detection light source; wherein, the wavelength range of the light is in the blue light range;

[0073] When the light passes through the pyrolysis particles, scattering occurs to form scattered light;

[0074] Based on the receiving device receiving the scattered light and converting the scattered light intensity of the scattered light into an electrical signal.

[0075] Analyzing the electrical signal includes:

[0076] Real-time collect the initial dark current of the receiving device through a data acquisition device;

[0077] Correct the initial dark current based on the ambient temperature to obtain the target dark current;

[0078] The initial concentration of pyrolysis particles is calculated based on the current signal and the target dark current;

[0079] The concentration of pyrolysis particles is obtained by correcting the initial concentration of pyrolysis particles.

[0080] The initial dark current is corrected based on the ambient temperature, including:

[0081] The initial dark current of the receiving device is extracted; where the initial dark current refers to the tiny leakage current generated by non-photon factors such as thermal excitation or internal device defects in the receiving device under the condition of no light and standard temperature;

[0082] The target dark current is calculated by the formula A = Ia×(1 + α×e^(((W - ZW)^2) / ZW^2)); where A is the target dark current, Ia is the initial dark current, α is the temperature conversion coefficient, and 0 < α < 1, W is the ambient temperature, and ZW is the standard ambient temperature.

[0083] The initial concentration of pyrolysis particles is calculated based on the current signal and the target dark current, including:

[0084] The target dark current A is extracted; the current signal is marked as I;

[0085] The initial concentration of pyrolysis particles is calculated by the formula C0 = β×tanh(I)×ln(I - A); where C0 is the initial concentration of pyrolysis particles, β is the current conversion coefficient, and I - A > 1.

[0086] The initial concentration of pyrolysis particles is corrected, including:

[0087] The aging factor of the receiving device is obtained;

[0088] The concentration of PM2.5 in the environment is obtained;

[0089] The aging factor is marked as f, and the concentration of PM2.5 is marked as PM;

[0090] The concentration of pyrolysis particles is calculated by the formula C = C0×(1 - θ1×f - θ2×e^(PM / (PM + 1))); where C is the concentration of pyrolysis particles, and θ1, θ2 are weighting coefficients.

[0091] The aging factor of the receiving device is obtained, including:

[0092] The current dark current of the receiving device is obtained through the data acquisition device;

[0093] The aging factor is obtained by calculating the difference between the current dark current and the initial dark current and then dividing it by the initial dark current.

[0094] For example: In a certain automobile welding workshop, it is necessary to monitor the concentration of welding fumes (pyrolysis particles), and the preset concentration threshold is 50 μg / m 3 . The ambient temperature in the workshop fluctuates in the range of 20 - 30 °C, and there is PM2.5 (from the outside air of the ventilation system).

[0095] 1. Parameter calibration and initial settings are shown in Table 1:

[0096]

[0097] Table 1

[0098] 2. Real-time detection and calculation process;

[0099] Step 1: Obtain environmental parameters:

[0100] The current ambient temperature W = 28 °C;

[0101] The PM2.5 concentration PM = 75 ug / m 3 (provided by the workshop PM2.5 sensor);

[0102] Step 2: Calculate the target dark current;

[0103] Calculate the target dark current through the formula A = Ia × (1 + α × e^(((W - ZW)^2) / ZW^2));

[0104] Substitute the data to get A ≈ 0.108 μA;

[0105] That is, a 3 °C increase in temperature causes an 8% increase in the dark current.

[0106] Step 3: Collect the current signal;

[0107] The output current of the photosensitive device I = 5.0 muA;

[0108] The effective signal current I - A = 5.0 - 0.108 = 4.892;

[0109] Step 4: Calculate the initial concentration C0;

[0110] Calculate the initial concentration of pyrolysis particles through the formula C0 = β × tanh(I) × ln(I - A);

[0111] Substitute the data to get C0 ≈ 79.5 μg / m 3 ;

[0112] The tanh function suppresses high-concentration non-linearity, and the ln function compensates for low-concentration sensitivity.

[0113] Step 5: Correct the concentration C;

[0114] Aging factor f:

[0115] Assume the current dark current is 0.15 μA (after 1 year of operation);

[0116] By calculating the difference between the current dark current and the initial dark current, and then dividing by the initial dark current, the aging factor is obtained as 0.5;

[0117] The concentration of pyrolysis particles is calculated by the formula C = C0×(1 - θ1×f - θ2×e^(PM / (PM + 1)));

[0118] Substituting the data gives C ≈ 65.2 μg / m 3 ;

[0119] Note: PM2.5 contributes approximately 13.4% of the inflated signal, and aging causes a 5% error.

[0120] Step 6: Early warning judgment;

[0121] Since the corrected concentration C = 65.2 μg / m 3 > the preset concentration threshold of 50 μg / m 3 ;

[0122] Trigger an early warning: Send an alarm to the workshop monitoring center and start the ventilation system.

[0123] This example verifies the feasibility of the method in a complex industrial environment. Through low-cost and low-power design, it solves the limitations of the existing technology and has the potential for large-scale promotion.

[0124] Refer to Figures 2 - 3 , the second aspect embodiment of the present invention provides a pyrolysis particle detection device, including: a device housing, an optical path maze, and a detection circuit board;

[0125] The optical path maze is used to obtain the scattered light intensity of the light scattered by pyrolysis particles and convert the scattered light intensity into an electrical signal;

[0126] The detection circuit board is used to analyze the electrical signal to obtain the concentration of pyrolysis particles.

[0127] The device housing includes an oval top cover and a circular lower fixing plate;

[0128] The optical path maze is composed of a detection light source and a receiving device;

[0129] The optical path maze and the detection circuit board are installed inside the device housing;

[0130] The detection circuit board is installed on the lower fixing plate inside the device housing; among them, the detection circuit board includes an MCU processor, a detection circuit, and a power supply circuit.

[0131] Some of the data in the above formula are the numerical values obtained after removing the dimension. The formula is the one that is closest to the actual situation obtained through software simulation of a large amount of collected data. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0132] The working principle of the present invention:

[0133] The present invention obtains the scattered light intensity of the light scattered by pyrolysis particles through a pyrolysis particle detection device, and converts the scattered light intensity into an electric current signal. By analyzing the electric current signal, the concentration of pyrolysis particles is obtained. Based on the concentration of pyrolysis particles, it is judged whether to give an early warning, solving the problem that existing pyrolysis particle methods are all designed and implemented based on laser sensors and gas sensors. The power consumption of laser sensors and gas sensors is relatively high, so that additional power supplies need to be added in the design and use of pyrolysis particle detectors, or the number of pyrolysis particle detectors carried by the host needs to be reduced, which brings more negative impacts to construction wiring and customer use. At the same time, the cost of laser sensors and gas sensors is relatively high under the current technical conditions, which is not conducive to the popularization and application of products.

[0134] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A pyrolysis particle detection method, characterized in that, Including: Obtaining the scattered light intensity of the light scattered by the pyrolysis particles through a pyrolysis particle detection device, and converting the scattered light intensity into an electrical signal; Analyzing the electrical signal to obtain the concentration of the pyrolysis particles; Judging whether to give an early warning based on the concentration of the pyrolysis particles.

2. The pyrolysis particle detection method according to claim 1, characterized in that, The obtaining the scattered light intensity of the light scattered by the pyrolysis particles through a pyrolysis particle detection device, and converting the scattered light intensity into an electrical signal includes: The pyrolysis particles enter the optical path maze through the pore between the elliptical top cover and the optical maze in the pyrolysis particle detection device; wherein, the optical path maze is composed of a detection light source and a receiving device; Emitting light through the detection light source; wherein, the wavelength range of the light is in the blue light range; When the light passes through the pyrolysis particles, scattering occurs to form scattered light; Based on the receiving device receiving the scattered light and converting the scattered light intensity of the scattered light into an electrical signal.

3. The pyrolysis particle detection method according to claim 1, characterized in that, The analyzing the electrical signal includes: Real-time collecting the initial dark current of the receiving device through a data acquisition device; Correcting the initial dark current based on the ambient temperature to obtain the target dark current; Calculating the initial concentration of the pyrolysis particles based on the electrical signal and the target dark current; Obtaining the concentration of the pyrolysis particles by correcting the initial concentration of the pyrolysis particles.

4. The pyrolysis particle detection method according to claim 3, characterized in that, The correcting the initial dark current based on the ambient temperature includes: Extracting the initial dark current of the receiving device; wherein, the initial dark current refers to the tiny leakage current generated by thermal excitation or internal defects of the device under the condition of no light and standard temperature of the receiving device; Calculating the target dark current through the formula A = Ia×(1 + α×e^(((W - ZW)^2) / ZW^2)); where A is the target dark current, Ia is the initial dark current, α is the temperature conversion coefficient, and 0 < α < 1, W is the ambient temperature, and ZW is the standard ambient temperature.

5. A pyrolysis particle detection method according to claim 3, characterized in that, The calculating the initial concentration of the pyrolysis particles based on the electrical signal and the target dark current includes: Extracting the target dark current A; marking the electrical signal as I; Calculating the initial concentration of the pyrolysis particles through the formula C0 = β×tanh(I)×ln(I - A); where C0 is the initial concentration of the pyrolysis particles, β is the current conversion coefficient, and I - A > 1.

6. A pyrolysis particle detection method according to claim 3, wherein The obtaining the concentration of the pyrolysis particles by correcting the initial concentration of the pyrolysis particles includes: Obtaining the aging factor of the receiving device; Obtaining the concentration of PM2.5 in the environment; Marking the aging factor as f and the concentration of PM2.5 as PM; Calculating the concentration of the pyrolysis particles through the formula C = C0×(1 - θ1×f - θ2×e^(PM / (PM + 1))); where C is the concentration of the pyrolysis particles, and θ1, θ2 are weight coefficients.

7. A pyrolysis particle detection method according to claim 6, characterized in that, The obtaining the aging factor of the receiving device includes: Obtaining the current dark current of the receiving device through a data acquisition device; Calculating the difference between the current dark current and the initial dark current, and then dividing by the initial dark current to obtain the aging factor.

8. A pyrolysis particle detection method according to claim 1, characterized in that, The judging whether to give an early warning based on the concentration of the pyrolysis particles includes: Judging whether the concentration of the pyrolysis particles is greater than a preset concentration threshold; if yes, generating a warning message and sending it to the client; if no, continuously monitoring and judging.

9. A pyrolysis particle detection device for implementing the pyrolysis particle detection method according to any one of claims 1-8, characterized in that, Including: A device housing, an optical path maze, and a detection circuit board; The optical path maze is used to obtain the scattered light intensity of the light scattered by the pyrolysis particles and convert the scattered light intensity into an electric current signal; The detection circuit board is used to analyze the electric current signal to obtain the concentration of the pyrolysis particles.

10. The pyrolysis particle detection device according to claim 9, characterized in that, The device housing includes an elliptical top cover and a circular lower fixing plate; The optical path maze is composed of a detection light source and a receiving device; The optical path maze and the detection circuit board are installed inside the device housing; The detection circuit board is installed on the lower fixing plate inside the device housing; wherein, the detection circuit board includes an MCU processor, a detection circuit and a power supply circuit.

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