Long-distance light quantum radar fire detection system

Abstract

The invention relates to the technical field of radar detection, and provides a long-distance light quantum radar fire detection system which comprises the following steps: emitting a laser signal in a quantum state, and receiving a reflected signal; the change of reflected signal energy along with time is analyzed, the light quantum signal attenuation result at each moment is determined, and then the smoke density detection value at each moment is obtained; according to the overall increase trend of the smoke density detection value along with time, further analyzing the change of the increase degree of the smoke density detection value along with time, and determining the temperature and humidity influence coefficient of the laser at the current moment; based on the phase change of the reflected signal at each moment relative to the emitted laser signal, determining a particle scattering phase shift coefficient of the reflected signal at each moment; the real-time smoke density detection value is corrected, and the real-time smoke particle size is determined. The invention aims to solve the problem that a fire detection result is influenced by deviation of light quantum intensity attenuation judgment caused by the influence of smoke and air temperature and humidity on a laser signal.

Description

Technical Field

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

[0002] A long-distance optical quantum radar generally refers to a system that uses quantum technology for optical radar detection, and usually improves the performance and detection ability of the radar system based on the principles of quantum optics. The technology of long-distance optical quantum radar mainly combines the concepts of lidar (LiDAR) and quantum optics. Different from traditional radar systems that use microwaves or electromagnetic waves, optical quantum radars use photon-level signals, especially using quantum technology to improve the detection accuracy, sensitivity, and anti-interference ability of signals.

[0003] The application of optical quantum radar in fire detection mainly includes remote detection, high-resolution precise positioning, and smoke or fire source detection, etc. Among them, optical quantum radar can effectively achieve long-distance detection, especially suitable for complex environments such as forests and mountains. It can effectively detect flames, and the detection accuracy can reach the fire recognition with a minimum flame volume ≥ 10 cm³. The detection period is 0.3 - 36 seconds, and it can effectively distinguish the types of fire sources; optical quantum radar can not only detect the flame itself, but also detect the smoke generated by the fire; water vapor particles in the smoke have a strong influence on the reflection of laser signals. Quantum radar can judge the density and distribution of smoke by analyzing the reflected signals; and with the help of cloud computing and edge computing technologies, it can quickly process a large amount of data to generate a real-time fire data map and the spread path, which is very important for early fire detection, assessing the fire spread range, and extinguishing difficulty.

[0004] The basic principle of quantum radar in smoke detection is to irradiate a laser signal onto the target area and receive the signal reflected from this area; during this process, the scattering of particles in the smoke on the laser signal will have an impact, and quantum radar speculates on the concentration and distribution of smoke by analyzing the characteristics of these reflected signals. Specifically, when the smoke concentration is high, the scattering degree of the reflected signal is high, and then the optical quantum intensity will 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, due to the uncertainty of environmental temperature and humidity, water particles in the air will also affect the scattering result, and then cause errors in the reflected optical quantum signal, affecting the fire detection result. Summary of the Invention

[0005] The present invention provides a long-distance optical quantum radar fire detection system to solve the problem that the existing laser signal is affected by smoke and air temperature and humidity, resulting in deviation in the judgment of optical quantum intensity attenuation, which in turn affects the fire detection result. The specific technical solutions adopted are as follows: The present invention also provides a long-distance optical quantum radar fire detection system, which includes: An optical quantum radar signal output module, configured to emit a laser signal in a quantum state, receive and output an optical quantum radar reflection signal; A radar signal analysis module, configured to analyze the change of the reflection signal energy over time, determine the attenuation result of the optical quantum signal at each moment, and further 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 change of the growth degree of the smoke density detection value over time, determine the laser temperature and humidity influence coefficient at the current moment; based on the phase change of the reflection signal at each moment compared with the emitted laser signal, determine the particle scattering phase shift coefficient of the reflection signal at each moment; A fire detection module, configured to judge the laser temperature and humidity influence coefficient at the current moment, thereby correcting the real-time smoke density detection value, and determining the real-time smoke particle size through the particle scattering phase shift coefficient of the reflection signal at the current moment.

[0006] Optionally, the method for determining the attenuation result of the optical quantum signal at each moment specifically includes: Based on a preset neighborhood range, combine any moment with its adjacent moments to obtain the neighborhood analysis range of this moment; Obtain the initial energy value of the emitted laser signal, and use the average value of the absolute value of the difference between the energy values of the reflection signals at each moment within the neighborhood analysis range and the initial energy value as the attenuation result of the optical quantum signal at this moment.

[0007] Optionally, the method for obtaining the smoke density detection value at each moment specifically includes: Perform normalization processing on the attenuation results of the optical quantum signals at all moments up to the current moment to obtain the energy attenuation coefficient at each moment; If the energy attenuation coefficient at any moment is less than or equal to the attenuation threshold, the smoke density detection value at this moment is the initial smoke density; For the moment when the energy attenuation coefficient is greater than the attenuation threshold, use the product of the sum value obtained by adding 1 to the energy attenuation coefficient at this moment and the initial smoke density as the smoke density detection value at this moment.

[0008] Optionally, the method for 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 of the growth degree of the smoke density detection value over time specifically includes: Based on the smoke density detection value that changes over time, obtain a smoke density fitting curve through mapping and curve fitting; By respectively obtaining the first derivative and the second derivative of the smoke density fitting curve, the tangent slope and the second derivative of the fitting curve at each moment are obtained; Analyze the sign performance of the slope at each moment in the smoke density fitting curve to determine the convergence and divergence of the growth trend of the smoke density at the current moment; Analyze the sign performance of the second derivative at each moment in the smoke density fitting curve to determine the convergence and divergence of the growth amplitude of the smoke density at the current moment; Obtain the sum value of the convergence and divergence of the growth trend of the smoke density at the current moment and the convergence and divergence of the growth amplitude of the smoke density, and use the ratio of the sum value to the total number of moments as the laser temperature and humidity influence coefficient at the current moment.

[0009] Optionally, the specific method for determining the convergence and divergence of the growth trend of the smoke density at the current moment includes: Use the value obtained by passing the tangent slope at each moment through the sign function as the change trend of the smoke density at each moment; Use the sum value of the change trends of the smoke density at all moments as the convergence and divergence of the growth trend of the smoke density at the current moment.

[0010] Optionally, the specific method for determining the convergence and divergence of the growth amplitude of the smoke density at the current moment includes: Use the value obtained by passing the second derivative at each moment through the sign function as the growth amplitude of the smoke density at each moment; Use the sum value of the growth amplitudes of the smoke density at all moments as the convergence and divergence of the growth amplitude of the smoke density at the current moment.

[0011] Optionally, the specific method for determining the particle scattering phase shift coefficient of the reflected signal at each moment includes: For any moment, obtain the phase difference between the reflected signal and the emitted laser signal at that moment as the signal phase difference at that moment, and use the average value of the signal phase differences at all moments within the neighborhood analysis range of that moment as the particle scattering phase shift coefficient at that moment.

[0012] Optionally, the specific method for judging the laser temperature and humidity influence coefficient at the current moment and correcting the real-time smoke density detection value includes: If the laser signal temperature and humidity influence coefficient at the current moment is within the preset environmental temperature and humidity influence range, the smoke density detection value at the current moment is affected by the change of environmental temperature and humidity and needs to be corrected; Obtain the smoke density correction value at the current moment based on the laser signal temperature and humidity influence coefficients and their smoke density detection values at each moment before the current moment.

[0013] Optionally, the specific method for obtaining the smoke density correction value at the current moment is: Traverse moment by moment forward from the current moment and determine whether it is affected by changes in environmental temperature and humidity. When the first moment that is not affected by changes in environmental temperature and humidity is traversed, use this unaffected moment as the non-interference end moment of the current moment, and use the next adjacent moment of the non-interference end moment as the interference start moment; Use the smoke density detection values of the latter half of all moments before the interference start moment as the input of the ARIMA model, and output the predicted smoke density value at the interference start moment as the corrected smoke density value at the interference start moment; input the corrected smoke density value at the interference start moment into the ARIMA model, and output the corrected smoke density value at the next adjacent moment of the interference start moment, and so on until the corrected smoke density value at the current moment is output.

[0014] Optionally, the method for determining the real-time smoke particle size through the particle scattering phase shift coefficient of the reflected signal at the current moment specifically includes: Normalize the particle scattering phase shift coefficients of all moments to obtain the scattering phase shift factor of each moment; Based on the scattering phase shift factors of each moment and a preset scattering phase shift threshold, judge to obtain the smoke particle size of each moment.

[0015] The beneficial effects of the present invention are as follows: By analyzing the smoke density in the environment reflected by the reflected signals of the optical quantum radar at different moments, the present invention determines its change characteristics, eliminates the interference of the scattering characteristics of water particles caused by abnormal environmental temperature and humidity on the reflected signals, and improves the accuracy in the smoke detection process; By quantifying the attenuation characteristics and phase shift characteristics of the reflected signals, first obtain the smoke density detection values reflecting the change trend of the smoke density, and by analyzing its change trend, quantify the influence of environmental temperature and humidity on the scattering of laser signals, reflect the non-linear growth of the smoke density under temperature and humidity interference, and provide a basis for the subsequent elimination of temperature and humidity interference; Then, through the influence of the particle size on the phase change of signal scattering, analyze and obtain the particle scattering phase shift coefficient by quantifying the phase difference; In the process of analyzing the reflected signals, by quantifying the attenuation characteristics and phase shift characteristics of the reflected signals, obtain the smoke density and particle size without the influence of water particles, effectively reflect the long-distance detection ability of the optical quantum radar signal, as well as the detection accuracy for flames and smoke, and thus realize the detection of fire information by the long-distance optical quantum radar. Description of the Drawings

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the description of the embodiments or the prior art. Obviously, the accompanying 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 accompanying drawings can be obtained based on these drawings.

[0017] Figure 1 It is a structural block diagram of a long-distance optical quantum radar fire detection system provided by an embodiment of the present invention. Detailed implementation manners

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, rather than all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0019] Please refer to Figure 1 , which shows a structural block diagram of a long-distance optical quantum radar fire detection system provided by an embodiment of the present invention. The system includes: Optical quantum radar signal output module 101: emits a laser signal in a quantum state, receives and outputs the reflected signal of the optical quantum radar.

[0020] The purpose of this embodiment is to emit a laser signal in a quantum state, receive the reflected signal of the optical quantum radar, analyze the output reflected signal, thereby perform smoke and particle analysis on the fire, and based on the change trend of the smoke density, eliminate the interference of the air temperature and humidity changes on the beam scattering and reflection, so as to improve the accuracy of quantifying the smoke density based on the intensity of the reflected optical quantum signal.

[0021] Specifically, a laser signal (single photon) in a quantum state is emitted to irradiate a target area (fire source or smoke area). The laser wavelength is usually selected within the visible light or infrared light range. In this embodiment, the signal wavelength is between 800 - 1550 nm. The detector uses a single photon detector, specifically a superconducting single photon detector (SNSPD). In the device parameters, the specific resolution is in centimeters. The laser source emits a beam in a quantum state and irradiates the target area. The beam interacts with smoke particles, causing scattering or reflection. The reflected signal is captured by the quantum radar receiving device. The received reflected signal will experience effects such as intensity attenuation and phase change. The detector then measures the intensity and phase of the reflected signal, obtains the photon scattering characteristics, and obtains relevant quantum information, such as changes in the intensity of light quanta and phase offset. The laser source emits a laser signal once every 1 minute, and within 1 minute, the reflected signal is detected and received by the single photon detector and the receiving device, that is, the acquisition frequency of the reflected signal is once every 1 minute.

[0022] Furthermore, through the signal processing and analysis system, after processing and detecting the received reflected signal, relevant data of the reflected signal is output for subsequent analysis of the reflected signal, so as to quantify results such as smoke concentration, fire source location and distribution, and smoke particle size for users to monitor the fire situation.

[0023] Radar signal analysis module 102: 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, reducing the intensity of the reflected signal. Thus, the smoke density in the target area can be detected. Based on the smoke density, through the aggregation and dispersion of particles reflected by the smoke density detection values at multiple times, the change trend of the smoke density is analyzed to exclude the influence of environmental temperature and humidity on smoke detection. Combining the phase offset of the reflected signal compared with the emitted laser signal, the influence of the particle size in the smoke on signal scattering is judged.

[0024] It should be further noted 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 particulate matter. The larger the number of particulate matter, the greater the scattering effect on the laser signal itself, reducing the intensity of light quanta, and thus increasing the signal attenuation amount. Therefore, the smoke density is detected by quantifying the signal attenuation amount.

[0025] (1) Analyze the change of the reflected signal energy over time, determine the attenuation results of the light quantum signal at each moment, and then obtain the smoke density detection values at each moment.

[0026] Specifically, a neighborhood range is preset. In this embodiment, the neighborhood range is described using 2; for any moment, the moment, its two adjacent previous moments, and its two adjacent subsequent moments are used as the neighborhood analysis range for that moment; the initial energy value of the emitted laser signal is The mean value of the absolute value of the difference between the energy value of the reflected signal at each moment within the neighborhood analysis range and the initial energy value is used as the attenuation result of the optical quantum signal at that moment; it should be noted that if the number of moments before or after that moment does not meet the neighborhood range, the neighborhood analysis range for that moment is constructed with the actually existing moments.

[0027] As an example, the calculation method for the attenuation result of the optical quantum signal at the th moment is as follows: Wherein, represents the number of moments within the neighborhood analysis range of the th moment, represents the energy value of the reflected signal at the th moment within the neighborhood analysis range of the th moment, represents the initial energy value of the laser signal, represents the absolute value function.

[0028] It should be noted that by comprehensively averaging and analyzing the signal attenuation amounts at multiple moments within a period of time, the error in the energy value of a single reflected signal is avoided from affecting the energy attenuation judgment; and the larger the attenuation result, the greater the energy loss of the reflected signal, the greater the beam scattering, and the greater the smoke density at the corresponding moment.

[0029] Further, for all moments up to the current moment, the attenuation results of the optical quantum signals are linearly normalized, and the obtained result is used as the energy attenuation coefficient for each moment. A preset attenuation threshold is set. In this embodiment, the attenuation threshold is described using 0.1. If the energy attenuation coefficient of 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 specified as and the smoke density detection value at that moment is , approaching non-existence; for moments with an energy attenuation coefficient greater than the attenuation threshold, the product of the sum obtained by adding 1 to the energy attenuation coefficient of that moment and the initial smoke density is used as the smoke density detection value at that moment, and thus the smoke density detection values for each moment are obtained.

[0030] ​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, due to the greater smoke density, the greater the particulate content, the higher the degree of signal scattering, resulting in a smaller energy value of the received reflected signal. A fire will affect both the environmental temperature and humidity. Moisture particles in the air will also refract and scatter photons, leading to energy attenuation of the photon signal. Therefore, it is necessary to exclude the interference of environmental temperature and humidity based on the change trend of the smoke density detection value.

[0031] (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, determine the influence coefficient of laser by temperature and humidity at the current moment; based on the phase change of the reflected signal compared with the emitted laser signal at each moment, determine the particle scattering phase shift coefficient of the reflected signal at each moment.

[0032] It should be noted that under different environmental temperature and humidity conditions, it 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, and the humidity drops. The smoke and moisture particles will change. Due to the reduction of moisture particles, the degree of scattering of smoke particles to the laser signal will change, reducing the scattering degree, further affecting the overall change trend of the smoke density, resulting in that the smoke density detection value does not show a linear increase, but shows an overall growth trend, and the growth amount will gradually decrease.

[0033] Preferably, in an 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 method for determining the influence coefficient of laser by temperature and humidity at the current moment specifically includes: Taking each moment as the abscissa, that is, taking time as the abscissa and the smoke density detection value as the ordinate, map the smoke density detection values at each moment to obtain several data points in the coordinate system, and fit all the data points by the least squares method to obtain the smoke density fitting curve.

[0034] It should be noted that as the fitting curve changes with time, it will show a slow growth and the growth coefficient gradually becomes smaller, that is, there is interference from environmental temperature and humidity on the scattering of the laser signal. Therefore, it is necessary to analyze the overall growth trend of the fitting curve and at the same time analyze the change trend of the growth degree.

[0035] Further, by respectively obtaining the first derivative and the second derivative of the smoke density fitting curve, the tangent slope and the second derivative of the fitting curve at each moment are obtained; the value obtained by passing the tangent slope at each moment through the sign function is used as the change trend of the smoke density at each moment, where the result of the sign function is 1, -1 or 0; the sum value of the change trends of the smoke density at all moments is used as the convergence and divergence of the growth trend of the smoke density at the current moment.

[0036] It should be noted that since the smoke density occurs with the fire, the interference of the ambient temperature and humidity on it will not affect the growth change trend of the smoke density, so the change trend of the smoke density should be 1, and the convergence and divergence of the growth trend of the smoke density 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 convergence and divergence of the growth trend of the smoke density should always be greater than 0.

[0037] Further, the value obtained by passing the second derivative at each moment through the sign function is used as the growth amplitude of the smoke density at each moment; the sum value of the growth amplitudes of the smoke density at all moments is used as the convergence and divergence of the growth amplitude of the smoke density at the current moment.

[0038] It should be noted that under the interference of the ambient temperature and humidity, the overall smoke density shows growth, but the growth amplitude of each time gradually decreases, that is, the growth slows down. Reflected in the second derivative, the growth amplitude of the smoke density is -1, so the convergence and divergence of the growth amplitude of the smoke density will approach the opposite of the total number of moments and theoretically be equal to the opposite of the total number of moments, showing a trend of slowing growth.

[0039] Further, obtain the sum value of the convergence and divergence of the growth trend of the smoke density at the current moment and the convergence and divergence of the growth amplitude of the smoke density, and use the ratio of the sum value to the total number of moments as the laser temperature and humidity influence coefficient at the current moment.

[0040] It should be noted that since the convergence and divergence of the growth trend of the smoke density is equal to the total number of moments in theory, and the convergence and divergence of the growth amplitude is equal to the opposite of the total number of moments, the influence coefficient presented by the standard laser affected by the ambient temperature and humidity should be 0. To ensure that the overall smoke density shows a growth trend and at the same time the ambient temperature and humidity change has an impact, it 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 growth of the smoke density will change linearly, the convergence and divergence of the growth amplitude will be equal to the total number of moments, and the corresponding influence coefficient will be 2.

[0041] Preferably, in an embodiment of the present invention, 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, and the specific method includes: It should be noted that when the size of the smoke particles is much smaller than the laser wavelength, Rayleigh scattering of light will occur; 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 the smoke particles is close to or larger than the laser wavelength, Mie scattering of light occurs; at this time, the scattering of the particles on the light not only affects the amplitude, but also causes a significant phase change. When the particle shape and distribution are irregular, the scattering will distort the propagation path of the light wave, resulting in a large phase change; therefore, it is necessary to analyze the phase shift between the reflected signal and the emitted laser signal. The larger the particle size, the greater the phase shift it causes, so as to quantitatively obtain a larger particle scattering phase shift coefficient.

[0042] Specifically, for any moment, obtain the phase difference between the reflected signal and the emitted laser signal at this moment as the signal phase difference at this moment, and take the average value of the signal phase differences at all moments within the neighborhood analysis range at this moment as the particle scattering phase shift coefficient at this moment.

[0043] So far, by quantifying the attenuation characteristics and phase shift characteristics of the reflected signal, first obtain the smoke density detection value reflecting the change trend of the smoke density, and by analyzing its change trend, quantify the influence of the environmental temperature and humidity on the scattering of the laser signal, reflect the non-linear growth of the smoke density under the influence of temperature and humidity interference, and provide a basis for the subsequent elimination of temperature and humidity interference; then, through the influence of the particle size on the phase change of the signal scattering, analyze and obtain the particle scattering phase shift coefficient by quantifying the phase difference.

[0044] Fire detection module 103: Judge the coefficient of the influence of temperature and humidity on the laser at the current moment, so as to correct the real-time smoke density detection value, and determine the real-time size of the smoke particles through the particle scattering phase shift coefficient of the reflected signal at the current moment.

[0045] Specifically, preset the influence range of environmental temperature and humidity. In this embodiment, the influence range of environmental temperature and humidity is set as , if the coefficient of the influence of the laser signal on temperature and humidity at the current moment is within the influence range of environmental temperature and humidity, the real-time smoke density detection value at the current moment is affected by the change of environmental temperature and humidity and needs to be corrected; if it is not within the influence range of environmental temperature and humidity, no correction is required.

[0046] Further, obtain the temperature and humidity influence coefficients of the laser signal corresponding to all moments before the current moment according to the above method. Traverse backward from the current moment moment by moment and 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, use this unaffected moment as the non-interference end moment of the current moment, and use the next adjacent moment of the non-interference end moment as the interference start moment; use the smoke density detection values of the latter half of all moments before the interference start moment as the input of the ARIMA model, and output the predicted smoke density value at the interference start moment as the corrected smoke density value at the interference start moment; input the corrected smoke density value at the interference start moment into the ARIMA model, and output the corrected smoke density value at the next adjacent moment of the interference start moment, and so on, until the corrected smoke density value at the current moment is output; where the ARIMA model is an existing prediction algorithm and will not be elaborated in this embodiment.

[0047] Further, a preset scattering phase shift threshold is set. In this embodiment, the scattering phase shift threshold is described as 0.3. Linearly normalize the particle scattering phase shift coefficients at all moments, and the result 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, Mie scattering of the laser signal occurs in the smoke, and there are large-sized particles in the smoke; if the scattering phase shift factor at the current moment is less than the scattering phase shift threshold, Rayleigh scattering of the laser signal occurs in the smoke, and the smoke mainly contains small-sized particles; thus, the detection of the fire smoke density and the particle size in the smoke is realized through the optical quantum signal.

[0048] So far, by analyzing the smoke density in the environment reflected by the optical quantum radar reflection signals at different moments, its change characteristics are determined, the scattering characteristics of water particles caused by abnormal ambient temperature and humidity are eliminated, and the accuracy in the smoke detection process is improved; during the analysis of the reflection signals, by quantifying the attenuation characteristics and phase shift characteristics of the reflection signals, the smoke density and particle size without the influence of water particles are obtained, and thus the detection of fire information by the long-distance optical quantum radar is realized.

[0049] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A long-distance optical quantum radar fire detection system, characterized in that The system includes: A quantum light radar signal output module, which is used to emit a laser signal in a quantum state, receive and output a reflected signal of the quantum light radar; A radar signal analysis module, which is used to analyze the change of the reflected signal energy over time, determine the attenuation result of the quantum light signal at each moment, and further 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 change of the growth degree of the smoke density detection value over time, determine the laser temperature and humidity influence coefficient at the current moment; based on the phase change of the reflected signal at each moment compared with the emitted laser signal, determine the particle scattering phase shift coefficient of the reflected signal at each moment; A fire detection module, which is used to judge the laser temperature and humidity influence coefficient at the current moment, correct the real-time smoke density detection value accordingly, and determine the real-time smoke particle size through the particle scattering phase shift coefficient of the reflected signal at the current moment.

2. The long-distance optical quantum radar fire detection system according to claim 1, wherein The specific method for determining the attenuation result of the quantum light signal at each moment includes: Based on a preset neighborhood range, combine any moment with its adjacent moments to obtain the neighborhood analysis range of this moment; Obtain the initial energy value of the emitted laser signal, and take the average value of the absolute value of the difference between the energy values of the reflected signals at each moment within the neighborhood analysis range and the initial energy value as the attenuation result of the quantum light signal at this moment.

3. The long-distance optical quantum radar fire detection system according to claim 1, characterized in that The specific method for obtaining the smoke density detection value at each moment includes: Perform normalization processing on the attenuation results of the quantum light signals at all moments up to the current moment to obtain the energy attenuation coefficient at each moment; If the energy attenuation coefficient at any moment is less than or equal to the attenuation threshold, the smoke density detection value at this moment is the initial smoke density; For the moment when the energy attenuation coefficient is greater than the attenuation threshold, the product of the sum value obtained by adding 1 to the energy attenuation coefficient at this moment and the initial smoke density is used as the smoke density detection value at this moment.

4. The long-distance optical quantum radar fire detection system according to claim 1, characterized in that, The specific method for 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 of the growth degree of the smoke density detection value over time includes: Based on the smoke density detection value that changes over time, obtain a smoke density fitting curve through mapping and curve fitting; Obtain the first derivative and the second derivative of the smoke density fitting curve respectively to obtain the tangent slope and the second derivative of the fitting curve at each moment; Analyze the sign performance of the slope at each moment in the smoke density fitting curve to determine the convergence and divergence of the smoke density growth trend at the current moment; Analyze the sign performance of the second derivative at each moment in the smoke density fitting curve to determine the convergence and divergence of the smoke density growth amplitude at the current moment; Obtain the sum value of the convergence and divergence of the smoke density growth trend and the convergence and divergence of the smoke density growth amplitude at the current moment, and take the ratio of the sum value to the total number of moments as the laser temperature and humidity influence coefficient at the current moment.

5. The long-distance 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: Take the value obtained by applying the sign function to the tangent slope at each moment as the smoke density change trend at each moment; The sum value of the change trends of the smoke density at all times is used as the divergence and convergence of the growth trend of the smoke density at the current time.

6. The long-distance optical quantum radar fire detection system according to claim 4, characterized in that, The specific method for determining the divergence and convergence of the growth amplitude of the smoke density at the current time includes: The value obtained by passing the second derivative at each time through the sign function is used as the growth amplitude of the smoke density at each time; The sum value of the growth amplitudes of the smoke density at all times is used as the divergence and convergence of the growth amplitude of the smoke density at the current time.

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

8. The long-distance optical quantum radar fire detection system according to claim 4, characterized in that The specific method for determining the influence coefficient of the laser by temperature and humidity at the current time and thereby correcting the real-time smoke density detection value includes: If the influence coefficient of the laser signal by temperature and humidity at the current time is within the preset environmental temperature and humidity influence range, the smoke density detection value at the current time is affected by the change of environmental temperature and humidity and needs to be corrected; Based on the influence coefficients of the laser signal by temperature and humidity and their smoke density detection values at each time before the current time, the smoke density correction value at the current time is obtained.

9. The long-distance optical quantum radar fire detection system according to claim 8, characterized in that, The specific method for obtaining the smoke density correction value at the current time is: Starting from the current time, traverse each time step by step forward and determine whether it is affected by the change of environmental temperature and humidity. When the first time step that is not affected by the change of environmental temperature and humidity is traversed, this unaffected time step is used as the non-interference end time step at the current time, and the next adjacent time step to the non-interference end time step is used as the interference start time step; The smoke density detection values of the latter half of all time steps before the interference start time step are used as the input of the ARIMA model, and the output smoke density prediction value at the interference start time step is used as the smoke density correction value at the interference start time step; the smoke density correction value at the interference start time step is input into the ARIMA model, and the output smoke density correction value at the next adjacent time step to the interference start time step is obtained, and so on, until the smoke density correction value at the current time is output.

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

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