A long-range optical quantum radar fire detection system

Abstract

The present invention relates to the field of radar detection technology and proposes a long-range optical quantum radar fire detection system, comprising: emitting a quantum laser signal and receiving a reflected signal; analyzing the change in reflected signal energy over time to determine the optical quantum signal attenuation result at each moment, thereby obtaining the smoke density detection value at each moment; determining the laser temperature and humidity influence coefficient at the current moment based on the overall growth trend of the smoke density detection value over time and further analyzing the change in the degree of growth of the smoke density detection value over time; determining the particle scattering phase shift coefficient of the reflected signal at each moment based on the phase change of the reflected signal at each moment compared to the emitted laser signal; and correcting the real-time smoke density detection value to determine the real-time smoke particle size. The present invention aims to solve the problem that the laser signal is affected by smoke and air temperature and humidity, resulting in deviations in the judgment of optical quantum intensity attenuation, thereby affecting the fire detection results.

Description

Technical Field

[0001] The present invention relates to the field of radar detection technology, and in particular to a long-distance optical quantum radar fire detection system. Background Art

[0002] Long-range optical quantum radar generally refers to a system that uses quantum technology for optical radar detection. It typically uses the principles of quantum optics to improve radar system performance and detection capabilities. Long-range optical quantum radar technology primarily combines the concepts of laser radar (LiDAR) and quantum optics. Unlike traditional radar systems that use microwaves or electromagnetic waves, optical quantum radar uses photon-level signals, specifically leveraging quantum technology to improve signal detection accuracy, sensitivity, and anti-interference capabilities.

[0003] The application of optical quantum radar in fire detection is primarily through long-range detection, high-resolution precise positioning, and smoke or fire source detection. Among them, optical quantum radar can effectively achieve long-distance detection, and is particularly suitable for complex environments such as forests and mountainous areas. It can effectively detect flames with an accuracy that can identify fires with a minimum flame volume of ≥10 cm³, with a detection cycle of 0.3-36 seconds, effectively distinguishing between fire source types. Optical quantum radar can detect not only the flames themselves, but also the smoke generated by fires. Water vapor particles in smoke have a strong effect on the reflection of laser signals, and quantum radar can determine the density and distribution of smoke by analyzing the reflected signals. Leveraging cloud computing and edge computing technologies, it can rapidly process massive amounts of data to generate real-time fire data maps and spread paths, which are crucial for early detection of fires, assessment of their spread, and the difficulty of extinguishing them.

[0004] The basic principle of quantum radar in smoke detection is to illuminate a target area with a laser signal and receive the signal reflected from that area. During this process, particles in the smoke affect the scattering of the laser signal. Quantum radar analyzes the characteristics of these reflected signals to infer the concentration and distribution of the smoke. Specifically, when the smoke concentration is high, the reflected signal scatters more, causing the intensity of the photons to attenuate, which can be used to judge the smoke concentration and achieve the purpose of fire detection. In the actual detection and analysis process, in addition to solid particles in the smoke, moisture particles in the air can also affect the scattering results due to the uncertainty of ambient temperature and humidity. This in turn causes errors in the reflected photon signal, affecting the fire detection results. Summary of the Invention

[0005] The present invention provides a long-range photon radar fire detection system to solve the problem that existing laser signals are affected by smoke and air temperature and humidity, resulting in deviations in the judgment of photon intensity attenuation, which in turn affects the fire detection results. The technical solutions adopted are as follows:

[0006] The present invention also proposes a long-range optical quantum radar fire detection system, which includes:

[0007] The optical quantum radar signal output module is used to transmit quantum laser signals and receive and output optical quantum radar reflection signals;

[0008] The radar signal analysis module is used to analyze the change of reflected signal energy over time, determine the attenuation of the photon signal at each moment, and then obtain the smoke density detection value at each moment;

[0009] Based on the overall growth trend of the smoke density detection value over time and further analyzing the changes in the degree of growth of the smoke density detection value over time, the temperature and humidity influence coefficient of the laser at the current moment is determined; based on the phase change of the reflected signal at each moment compared to the emitted laser signal, the particle scattering phase shift coefficient of the reflected signal at each moment is determined;

[0010] The fire detection module is used to determine the temperature and humidity influence coefficient of the laser at the current moment, thereby correcting the real-time smoke density detection value, and to determine the real-time smoke particle size through the particle scattering phase shift coefficient of the reflected signal at the current moment.

[0011] Optionally, the specific method of determining the photon signal attenuation result at each moment includes:

[0012] Based on the preset neighborhood range, any moment is combined with its adjacent moments to obtain the neighborhood analysis range of the moment;

[0013] The initial energy value of the emitted laser signal is obtained, and the average of the absolute values ​​of the differences between the energy values ​​of the reflected signals at each moment within the neighborhood analysis range and the initial energy value is taken as the photon signal attenuation result at that moment.

[0014] Optionally, the specific method of obtaining the smoke density detection value at each moment is as follows:

[0015] The energy attenuation coefficient at each moment is obtained by normalizing the attenuation results of the photon signal at all moments up to the current moment.

[0016] If the energy attenuation coefficient at any moment is less than or equal to the attenuation threshold, the smoke density detection value at that moment is the initial smoke density;

[0017] At a moment when the energy attenuation coefficient is greater than the attenuation threshold, the product of the sum of the energy attenuation coefficient at that moment plus 1 and the initial smoke density is used as the smoke density detection value at that moment.

[0018] Optionally, the method of determining the laser temperature and humidity influence coefficient at the current moment based on the overall growth trend of the smoke density detection value over time and further analyzing the change in the growth degree of the smoke density detection value over time includes the following specific methods:

[0019] Based on the smoke density detection value that changes with time, a smoke density fitting curve is obtained through mapping and curve fitting;

[0020] By respectively obtaining the first-order derivative and the second-order derivative of the smoke density fitting curve, the tangent slope and the second-order derivative of the fitting curve at each time are obtained;

[0021] Analyze the sign of the slope of the smoke density fitting curve at each moment to determine the convergence and divergence of the smoke density growth trend at the current moment;

[0022] Analyze the sign of the second-order derivative of the smoke density fitting curve at each moment to determine the convergence and divergence of the smoke density growth at the current moment;

[0023] The sum of the smoke density growth trend convergence and the smoke density growth amplitude convergence at the current moment is obtained, and the ratio of the sum to the total number at the moment is used as the laser temperature and humidity influence coefficient at the current moment.

[0024] Optionally, the method of determining the convergence and divergence of the smoke density growth trend at the current moment includes:

[0025] The value of the tangent slope at each moment obtained by the sign function is used as the smoke density change trend at each moment;

[0026] The sum of the smoke density change trends at all moments is taken as the convergence and divergence of the smoke density growth trend at the current moment.

[0027] Optionally, the method of determining the convergence and divergence of the smoke density growth rate at the current moment includes:

[0028] The value of the second-order derivative at each moment obtained by the sign function is used as the growth amplitude of the smoke density at each moment;

[0029] The sum of the smoke density growth rates at all moments is taken as the smoke density growth rate convergence and divergence at the current moment.

[0030] Optionally, the specific method of determining the particle scattering phase shift coefficient of the reflection signal at each moment includes:

[0031] For any moment, the phase difference between the reflected signal and the emitted laser signal at that moment is obtained as the signal phase difference at that moment, and the average of the signal phase differences at all moments within the neighborhood analysis range of that moment is taken as the particle scattering phase shift coefficient at that moment.

[0032] Optionally, the method of determining the temperature and humidity influence coefficient of the laser at the current moment and correcting the real-time smoke density detection value accordingly includes the following specific methods:

[0033] If the temperature and humidity influence coefficient of the laser signal at the current moment is within the preset ambient temperature and humidity influence range, the smoke density detection value at the current moment is affected by the ambient temperature and humidity changes and needs to be corrected;

[0034] The smoke density correction value at the current moment is obtained based on the temperature and humidity influence coefficient of the laser signal at each moment before the current moment and its smoke density detection value.

[0035] Optionally, the smoke density correction value at the current moment is obtained by:

[0036] Starting from the current moment, the system traverses forward moment by moment to determine whether it is affected by changes in ambient temperature and humidity. When the system reaches the first moment that is not affected by changes in ambient temperature and humidity, the first moment that is not affected is taken as the non-interference end moment of the current moment, and the next moment immediately following the non-interference end moment is taken as the interference start moment.

[0037] The smoke density detection values ​​of the second half of all moments before the start of the interference are used as the input of the ARIMA model, and the smoke density prediction value at the start of the interference is output as the smoke density correction value at the start of the interference; the smoke density correction value at the start of the interference is input into the ARIMA model, and the smoke density correction value of the next moment adjacent to the start of the interference is output, and so on, until the smoke density correction value of the current moment is output.

[0038] Optionally, the method of determining the real-time smoke particle size by using the particle scattering phase shift coefficient of the reflection signal at the current moment includes the following specific methods:

[0039] The particle scattering phase shift coefficients at all times are normalized to obtain the scattering phase shift factor at each moment;

[0040] The smoke particle size at each moment is obtained by judging based on the scattering phase shift factor at each moment and the preset scattering phase shift threshold.

[0041] The beneficial effects of the present invention are as follows: the present invention analyzes the smoke density in the environment reflected by the optical quantum radar reflection signal at different times to determine its variation characteristics, eliminates the interference of the scattering characteristics of moisture particles on the reflection signal caused by abnormal ambient temperature and humidity, and improves the accuracy of the smoke detection process; by quantifying the attenuation characteristics and phase shift characteristics of the reflection signal, first obtains a smoke density detection value reflecting the variation trend of the smoke density, and by analyzing its variation trend, quantifies the influence of the ambient temperature and humidity on the scattering of the laser signal, reflects the nonlinear growth of the smoke density under the interference of temperature and humidity, and provides a basis for the subsequent elimination of the interference of temperature and humidity; then, by analyzing the influence of the particle size on the phase change of the signal scattering, the particle scattering phase shift coefficient is obtained by quantifying the phase difference; in the process of analyzing the reflection signal, by quantifying the attenuation characteristics and phase shift characteristics of the reflection signal, the smoke density and particle size under the premise of no moisture particle influence are obtained, effectively reflecting the long-range detection capability of the optical quantum radar signal and the detection accuracy of flames and smoke, thereby realizing the detection of fire information by the long-range optical quantum radar. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 This is a structural block diagram of a long-range optical quantum radar fire detection system provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0045] See also Figure 1 , which shows a structural block diagram of a long-range optical quantum radar fire detection system provided by one embodiment of the present invention, the system comprising:

[0046] Photon radar signal output module 101: emits quantum laser signals, receives and outputs photon radar reflection signals.

[0047] The purpose of this embodiment is to emit a quantum laser signal and receive the reflected signal from the optical quantum radar, and analyze the output reflected signal to perform smoke and particle analysis on the fire situation. Based on the changing trend of the smoke density, the interference of changes in air temperature and humidity on the scattering and reflection of the light beam is eliminated, thereby improving the accuracy of quantifying the smoke density based on the intensity of the reflected optical quantum signal.

[0048] Specifically, a quantum laser signal (single photon) is emitted to illuminate the target area (fire source or smoke area). The laser wavelength is usually selected in the visible light or infrared light range. In this embodiment, the signal wavelength is between 800-1550nm; the detector adopts a single-photon detector, specifically a superconducting single-photon detector (SNSPD). The specific resolution of the device parameters is centimeters; the laser source emits a quantum light beam to illuminate the target area, and the light beam interacts with the smoke particles, causing scattering or reflection; the reflected signal is captured by a quantum radar receiving device, and the received reflected signal will experience intensity attenuation, phase change, etc.; the detector measures the intensity and phase of the reflected signal, and obtains the photon scattering characteristics to obtain relevant quantum information, such as light quantum intensity change, phase shift, etc.; the laser source emits a laser signal once every 1 minute, and detects and receives the reflected signal within 1 minute through the single-photon detector and the receiving device, that is, the collection frequency of the reflected signal is once every 1 minute.

[0049] Furthermore, the signal processing and analysis system processes and detects the received reflected signals, and outputs relevant data of the reflected signals for subsequent analysis of the reflected signals, thereby quantifying the smoke concentration, fire source location and distribution, smoke particle size and other results for users to monitor the fire situation.

[0050] Radar signal analysis module 102:

[0051] It should be noted that after the reflected signal is processed and analyzed by the system, the light intensity value and phase offset value of the reflected signal can be extracted. Affected by the concentration of particulate matter in the environment, the particles in the smoke will scatter the laser beam and reduce the intensity of the reflected signal, so that the smoke density in the target area can be detected; and on the basis of the smoke density, the particle aggregation reflected by the smoke density detection value at multiple times is used to analyze the changing trend of the smoke density and eliminate the influence of environmental temperature and humidity on smoke detection; combined with the phase offset of the reflected signal compared to the emitted laser signal, the influence of the particle size in the smoke on the signal scattering is judged.

[0052] It should be further explained that the degree of light intensity attenuation of the reflected signal is directly related to the smoke density. The smoke density reflects the number of particles in it. The larger the number of particles, the greater the scattering effect on the laser signal itself, reducing the light quantum intensity, and thus causing the signal attenuation to increase. The smoke density is detected by quantifying the signal attenuation.

[0053] (1) Analyze the change of reflected signal energy over time, determine the attenuation of the photon signal at each moment, and then obtain the smoke density detection value at each moment.

[0054] Specifically, a neighborhood range is preset. In this embodiment, the neighborhood range is described as 2. For any moment, the moment, the two moments before it, and the two moments after it are taken as the neighborhood analysis range of the moment. The initial energy value of the emitted laser signal is , the average of the absolute values ​​of the differences between the energy values ​​of the reflected signals at each moment within the neighborhood analysis range and the initial energy values ​​is taken as the photon signal attenuation result at that moment; it is particularly noted that if the number of moments before or after that moment does not satisfy the neighborhood range, the neighborhood analysis range of that moment is constructed using the actual existing moments.

[0055] As an example, The photon signal decay results at the moment The calculation method is:

[0056]

[0057] in, Indicates the The number of moments in the neighborhood analysis range of the moment, Indicates the The neighborhood analysis range at the moment The energy value of the reflected signal at a moment, represents the initial energy value of the laser signal, represents the absolute value function.

[0058] It should be noted that the signal attenuation at multiple moments within a period of time is comprehensively averaged and analyzed to avoid errors in the energy value of a single reflection signal that may affect the energy attenuation judgment; the greater the attenuation result, the greater the energy loss of the reflected signal, the greater the light beam scattering, and the greater the smoke density at the corresponding moment.

[0059] Furthermore, the photon signal attenuation results at all moments up to the current moment are linearly normalized, and the obtained results are used as the energy attenuation coefficient at each moment. The attenuation threshold is preset. In this embodiment, the attenuation threshold is described as 0.1. If the energy attenuation coefficient at any moment is less than or equal to the attenuation threshold, it is considered that the detection area does not exist or the smoke density is low. In this embodiment, the initial smoke density is set to , and the smoke density detection value at this moment is , close to non-existent; and for the moment when the energy attenuation coefficient is greater than the attenuation threshold, the product of the sum of the energy attenuation coefficient at that moment plus 1 and the initial smoke density is used as the smoke density detection value at that moment, and the smoke density detection value at each moment is obtained thereby.

[0060] It should be noted that the attenuation of the reflected signal is directly related to the smoke density. The greater the attenuation, the greater the corresponding smoke density. That is, since the greater the smoke density and the greater the particulate matter content, the higher the degree of signal scattering will be, resulting in a smaller energy value of the received reflected signal. Fire will affect the ambient temperature and humidity. The moisture particles in the air will also refract and scatter the light quanta, resulting in energy attenuation of the light quantum signal. Therefore, it is necessary to eliminate the interference of ambient temperature and humidity based on the changing trend of the smoke density detection value.

[0061] (2) Based on the overall growth trend of the smoke density detection value over time and further analyzing the change in the growth degree of the smoke density detection value over time, the temperature and humidity influence coefficient of the laser at the current moment is determined; based on the phase change of the reflected signal at each moment compared with the emitted laser signal, the particle scattering phase shift coefficient of the reflected signal at each moment is determined.

[0062] It should be noted that different ambient temperature and humidity conditions will affect the size, distribution and scattering characteristics of smoke particles. When a fire occurs, the smoke concentration in the environment increases, the temperature rises, the humidity drops, and the smoke and moisture particles will change. Due to the reduction of moisture particles, the scattering degree of smoke particles to the laser signal will change, reducing the scattering degree, further affecting the overall change trend of smoke density, resulting in the smoke density detection value not showing a linear increase, but an overall growth trend, and the growth amount will gradually decrease.

[0063] Preferably, in one embodiment of the present invention, based on the overall growth trend of the smoke density detection value over time and further analyzing the change in the growth degree of the smoke density detection value over time, the temperature and humidity influence coefficient of the laser at the current moment is determined, including the specific method of:

[0064] The horizontal coordinate is constructed at each moment, that is, time is used as the horizontal coordinate and the smoke density detection value is used as the vertical coordinate. The smoke density detection value at each moment is mapped to obtain several data points in the coordinate system. All data points are fitted by the least squares method to obtain the smoke density fitting curve.

[0065] It should be noted that the fitting curve changes with time, showing a slow growth and a gradually decreasing growth coefficient, that is, there is interference from the ambient temperature and humidity on the laser signal scattering. It is necessary to analyze the overall growth trend of the fitting curve and the changing trend of the growth degree.

[0066] Furthermore, by obtaining the first-order derivative and the second-order derivative of the smoke density fitting curve respectively, the tangent slope and the second-order derivative of the fitting curve at each moment are obtained; the value of the tangent slope at each moment obtained by the sign function is used as the smoke density change trend at each moment, where the result of the sign function is 1, -1 or 0; the sum of the smoke density change trends at all moments is used as the convergence and divergence of the smoke density growth trend at the current moment.

[0067] It should be noted that since smoke density changes with the occurrence of fire, the interference of ambient temperature and humidity will not affect the growth trend of smoke density, so the smoke density change trend should be 1. The corresponding smoke density growth trend convergence should theoretically be equal to the total number of moments up to the current moment; and when the smoke density is gradually increasing, that is, showing an overall growth trend, the smoke density growth trend convergence should always be greater than 0.

[0068] Furthermore, the value of the second-order derivative at each moment obtained through the sign function is used as the smoke density growth amplitude at each moment; and the sum of the smoke density growth amplitudes at all moments is used as the smoke density growth amplitude convergence at the current moment.

[0069] What needs to be explained is that under the interference of environmental temperature and humidity, the smoke density shows an overall increase, but the amplitude of each increase will gradually decrease, that is, the growth slows down, which is reflected in the second-order derivative that the smoke density growth amplitude is -1. The corresponding smoke density growth amplitude will approach the opposite of the total number at the moment, and in theory it is equal to the opposite of the total number at the moment, showing a trend of slowing growth.

[0070] Furthermore, the sum of the smoke density growth trend convergence and the smoke density growth amplitude convergence at the current moment is obtained, and the ratio of the sum to the total number at the moment is used as the laser temperature and humidity influence coefficient at the current moment.

[0071] It should be noted that, since theoretically the growth trend of smoke density is equal to the total number of moments, and the growth amplitude is equal to the inverse of the total number of moments, the influence coefficient of the standard laser affected by the ambient temperature and humidity should be 0, and to ensure that the smoke density shows an overall growth trend, the changes in ambient temperature and humidity will have an impact, which will cause the influence coefficient to be greater than 0 and approach 0. If it is completely unaffected by the ambient temperature and humidity, the smoke density will grow linearly, the growth amplitude will be equal to the total number of moments, and the corresponding influence coefficient is 2.

[0072] Preferably, in one embodiment of the present invention, based on the phase change of the reflected signal at each moment compared to the emitted laser signal, the particle scattering phase shift coefficient of the reflected signal at each moment is determined, including the specific method of:

[0073] It should be noted that when the size of smoke particles is much smaller than the laser wavelength, light will undergo Rayleigh scattering; at this time, the particles mainly affect the amplitude of the light, and the phase change caused by scattering is small; when the size of smoke particles is close to or larger than the laser wavelength, light undergoes Mie scattering; at this time, the scattering of light by particles not only affects the amplitude, but also causes a more significant phase change. When the shape and distribution of particles are irregular, the scattering will distort the propagation path of the light wave, resulting in a larger phase change; therefore, it is necessary to analyze the phase offset between the reflected signal and the emitted laser signal. The larger the particle size, the greater the phase offset it causes, thereby quantifying a larger particle scattering phase shift coefficient.

[0074] Specifically, at any moment, the phase difference between the reflected signal and the emitted laser signal is obtained as the signal phase difference at that moment, and the average of the signal phase differences at all moments within the neighborhood analysis range of that moment is taken as the particle scattering phase shift coefficient at that moment.

[0075] At this point, by quantifying the attenuation and phase shift characteristics of the reflected signal, the smoke density detection value reflecting the changing trend of the smoke density is first obtained. By analyzing its changing trend, the influence of ambient temperature and humidity on the scattering of the laser signal is quantified, reflecting the nonlinear growth of smoke density under temperature and humidity interference, and providing a basis for the subsequent elimination of temperature and humidity interference; then, through the influence of particle size on the phase change of signal scattering, the particle scattering phase shift coefficient is obtained by quantifying the phase difference.

[0076] Fire detection module 103: determines the laser temperature and humidity influence coefficient at the current moment, and uses it to correct the real-time smoke density detection value, and determines the real-time smoke particle size through the particle scattering phase shift coefficient of the reflected signal at the current moment.

[0077] Specifically, the ambient temperature and humidity influence interval is preset. In this embodiment, the ambient temperature and humidity influence interval is set to If the laser signal temperature and humidity influence coefficient at the current moment is in the ambient temperature and humidity influence range, the smoke density detection value at the current moment is affected by the ambient temperature and humidity changes and needs to be corrected; if it is not in the ambient temperature and humidity influence range, no correction is required.

[0078] Furthermore, for all moments before the current moment, the corresponding laser signal temperature and humidity influence coefficients are obtained according to the above method, and starting from the current moment, each moment is traversed forward to determine whether it is affected by changes in ambient temperature and humidity. When the first moment that is not affected by changes in ambient temperature and humidity is traversed, the unaffected moment is used as the non-interference end moment of the current moment, and the next moment adjacent to the non-interference end moment is used as the interference start moment; the smoke density detection values ​​of the second half of all moments before the interference start moment are used as inputs of the ARIMA model, and the smoke density prediction value at the interference start moment is output as the smoke density correction value at the interference start moment; the smoke density correction value at the interference start moment is input into the ARIMA model, and the smoke density correction value at the interference start moment is output, and so on, until the smoke density correction value at the current moment is output; wherein the ARIMA model is an existing prediction algorithm, which will not be described in detail in this embodiment.

[0079] Furthermore, a scattering phase shift threshold is preset. In this embodiment, the scattering phase shift threshold is described as 0.3. The particle scattering phase shift coefficients at all times are linearly normalized, and the result obtained is used as the scattering phase shift factor at each moment; if the scattering phase shift factor at the current moment is greater than or equal to the scattering phase shift threshold, the laser signal at the current moment undergoes Mie scattering in the smoke, and large-sized particles exist in the smoke; if the scattering phase shift factor at the current moment is less than the scattering phase shift threshold, the laser signal at the current moment undergoes Rayleigh scattering in the smoke, and the smoke mainly contains small-sized particles; thereby, the fire smoke density and the particle size in the smoke are detected through the photon signal.

[0080] At this point, by analyzing the smoke density in the environment reflected by the optical quantum radar reflection signal at different times, its changing characteristics are determined, the scattering characteristics of moisture particles caused by abnormal environmental temperature and humidity are eliminated, and the accuracy of the smoke detection process is improved; in the process of reflection signal analysis, by quantifying the attenuation and phase shift characteristics of the reflection signal, the smoke density and particle size under the premise of no moisture particle influence are obtained, thereby realizing the detection of fire information by long-range optical quantum radar.

[0081] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A long-range optical quantum radar fire detection system, characterized in that: The system includes: The optical quantum radar signal output module is used to transmit quantum laser signals and receive and output optical quantum radar reflection signals; The radar signal analysis module is used to analyze the change of reflected signal energy over time, determine the attenuation of the photon signal at each moment, and then obtain the smoke density detection value at each moment; Based on the overall growth trend of the smoke density detection value over time and further analyzing the changes in the degree of growth of the smoke density detection value over time, the temperature and humidity influence coefficient of the laser at the current moment is determined; based on the phase change of the reflected signal at each moment compared to the emitted laser signal, the particle scattering phase shift coefficient of the reflected signal at each moment is determined; The fire detection module is used to determine the temperature and humidity influence coefficient of the laser at the current moment, thereby correcting the real-time smoke density detection value, and to determine the real-time smoke particle size through the particle scattering phase shift coefficient of the reflected signal at the current moment.

2. A long-range optical quantum radar fire detection system according to claim 1, characterized in that: The specific method of determining the light quantum signal attenuation result at each moment includes: Based on the preset neighborhood range, any moment is combined with its adjacent moments to obtain the neighborhood analysis range of the moment; The initial energy value of the emitted laser signal is obtained, and the average of the absolute values ​​of the differences between the energy values ​​of the reflected signals at each moment within the neighborhood analysis range and the initial energy value is taken as the photon signal attenuation result at that moment.

3. The long-distance optical quantum radar fire detection system according to claim 1, characterized in that: The specific method of obtaining the smoke density detection value at each moment includes: The energy attenuation coefficient at each moment is obtained by normalizing the attenuation results of the photon signal at all moments up to the current moment. If the energy attenuation coefficient at any moment is less than or equal to the attenuation threshold, the smoke density detection value at that moment is the initial smoke density; At a moment when the energy attenuation coefficient is greater than the attenuation threshold, the product of the sum of the energy attenuation coefficient at that moment plus 1 and the initial smoke density is used as the smoke density detection value at that moment.

4. The long-distance optical quantum radar fire detection system according to claim 1, characterized in that: The above method is based on the overall growth trend of the smoke density detection value over time, and further analyzes the change in the growth degree of the smoke density detection value over time to determine the laser temperature and humidity influence coefficient at the current moment, including the following specific methods: Based on the smoke density detection value that changes with time, a smoke density fitting curve is obtained through mapping and curve fitting; By respectively obtaining the first-order derivative and the second-order derivative of the smoke density fitting curve, the tangent slope and the second-order derivative of the fitting curve at each moment are obtained; Analyze the sign of the slope of the smoke density fitting curve at each moment to determine the convergence and divergence of the smoke density growth trend at the current moment; Analyze the sign of the second-order derivative of the smoke density fitting curve at each moment to determine the convergence and divergence of the smoke density growth at the current moment; The sum of the smoke density growth trend convergence and the smoke density growth amplitude convergence at the current moment is obtained, and the ratio of the sum to the total number at the moment is used as the laser temperature and humidity influence coefficient at the current moment.

5. A long-range optical quantum radar fire detection system according to claim 4, characterized in that: The specific method for determining the convergence and divergence of the smoke density growth trend at the current moment includes: The value of the tangent slope at each moment obtained by the sign function is used as the smoke density change trend at each moment; The sum of the smoke density change trends at all moments is taken as the convergence and divergence of the smoke density growth trend at the current moment.

6. A long-range optical quantum radar fire detection system according to claim 4, characterized in that: The specific method for determining the convergence and divergence of the smoke density growth rate at the current moment includes: The value of the second-order derivative at each moment obtained by the sign function is used as the growth amplitude of the smoke density at each moment; The sum of the smoke density growth rates at all moments is taken as the smoke density growth rate convergence and divergence at the current moment.

7. The long-distance optical quantum radar fire detection system according to claim 2, characterized in that: The specific method of determining the particle scattering phase shift coefficient of the reflection signal at each moment includes: For any moment, the phase difference between the reflected signal and the emitted laser signal at that moment is obtained as the signal phase difference at that moment, and the average of the signal phase differences at all moments within the neighborhood analysis range of that moment is taken as the particle scattering phase shift coefficient at that moment.

8. The long-distance optical quantum radar fire detection system according to claim 4, characterized in that: The method of determining the laser temperature and humidity influence coefficient at the current moment and correcting the real-time smoke density detection value accordingly includes the following specific methods: If the temperature and humidity influence coefficient of the laser signal at the current moment is within the preset ambient temperature and humidity influence range, the smoke density detection value at the current moment is affected by the ambient temperature and humidity changes and needs to be corrected; The smoke density correction value at the current moment is obtained based on the temperature and humidity influence coefficient of the laser signal at each moment before the current moment and its smoke density detection value.

9. The long-distance optical quantum radar fire detection system according to claim 8, characterized in that: The smoke density correction value at the current moment is obtained in the following specific method: Starting from the current moment, the system traverses forward moment by moment to determine whether it is affected by changes in ambient temperature and humidity. When the system reaches the first moment that is not affected by changes in ambient temperature and humidity, the first moment that is not affected is taken as the non-interference end moment of the current moment, and the next moment immediately following the non-interference end moment is taken as the interference start moment. The smoke density detection values ​​of the second half of all moments before the start of the interference are used as the input of the ARIMA model, and the smoke density prediction value at the start of the interference is output as the smoke density correction value at the start of the interference; the smoke density correction value at the start of the interference is input into the ARIMA model, and the smoke density correction value of the next moment adjacent to the start of the interference is output, and so on, until the smoke density correction value of the current moment is output.

10. The long-distance optical quantum radar fire detection system according to claim 1, characterized in that: The method of determining the real-time smoke particle size by using the particle scattering phase shift coefficient of the reflected signal at the current moment includes the following specific methods: The particle scattering phase shift coefficients at all times are normalized to obtain the scattering phase shift factor at each moment; The smoke particle size at each moment is obtained by judging based on the scattering phase shift factor at each moment and the preset scattering phase shift threshold.

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