Flue gas characteristic parameter wide-range measurement method and system based on multi-source data fusion

Abstract

The invention discloses a flue gas characteristic parameter wide-range measurement method and system based on multi-source data fusion, and relates to the technical field of flue gas observation data processing. A first scattering observation channel and a second scattering observation channel are constructed in a scattering cavity in a fire smoke collection channel, first signal observation data of the first scattering observation channel and second signal observation data of the second scattering observation channel are collected in parallel to form a multi-source observation set, and quality evaluation is performed on the multi-source observation set. The method comprises the steps of obtaining multi-source observation set evaluation information, executing joint judgment according to the multi-source observation set evaluation information to obtain a joint judgment result, then combining the multi-source observation set evaluation information, generating channel connection candidate output index values, executing deviation analysis to obtain deviation information, and executing credible data analysis according to the deviation information. And flue gas characteristic parameter measurement value information is obtained based on processing of the credible observation data set, so that the stability and reliability of fire hazard flue gas monitoring are improved.

Description

Technical Field

[0001] This invention relates to the field of flue gas observation data processing technology, specifically to a method and system for wide-range measurement of flue gas characteristic parameters based on multi-source data fusion. Background Technology

[0002] In fire smoke monitoring applications, smoke characteristic parameters are used to support core tasks such as fire identification, development stage determination, triggering of linkage control, and verification of response effectiveness. During fire development, smoke characteristic parameters vary widely and change rapidly. To cover both early-stage weak smoke and dense smoke during the development phase, the system typically configures multiple observation channels within the same fire smoke acquisition channel to extend the measurement range. It then outputs a single smoke characteristic parameter with a wide range of measurement results through multi-source data fusion, ensuring continuity and traceability of the measurement results across the entire range and meeting the stable input requirements of alarm strategies and linkage control.

[0003] Within the boundary range of channel parameter ranges, multiple observation channels can simultaneously output data. However, due to differences in response range, gain linkage, and nonlinear compression characteristics, contradictory observations with inconsistent amplitudes or even opposite directions may occur under the same flue gas conditions. Furthermore, the differences in quality attributes such as signal-to-noise levels among multi-source observations make simple channel switching rules susceptible to instantaneous fluctuations, leading to inter-segment jumps between adjacent sampling periods or uncertain outputs due to the inability to adjudicate contradictory observations. Inter-segment jumps can trigger false alarms, malfunctions in linkage mechanisms, or suppress actions that should be triggered, affecting the timing of personnel evacuation and response. Inability to adjudicate reduces the reliability of trend judgments and weakens the integrity of the evidence chain for review. Existing technologies often employ single-threshold switching or empirical weighting, lacking a continuous connection constraint mechanism across the boundary range of channel parameters, making it difficult to output continuous, monotonic, and traceable wide-range measurement results without inter-segment jumps. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a wide-range measurement method and system for flue gas characteristic parameters based on multi-source data fusion, which can effectively solve the problems mentioned in the background technology.

[0005] To achieve the above objectives, the first aspect of the present invention is implemented through the following technical solution: a wide-range measurement method for flue gas characteristic parameters based on multi-source data fusion, comprising constructing a first scattering observation channel and a second scattering observation channel within a scattering cavity in a fire flue gas acquisition channel, and simultaneously acquiring first signal observation data of the first scattering observation channel and second signal observation data of the second scattering observation channel to form a multi-source observation set within the scattering cavity.

[0006] A quality assessment is performed on the multi-source observation set within the scattering cavity to obtain the assessment information of the multi-source observation set within the scattering cavity. Based on the assessment information of the multi-source observation set within the scattering cavity, a joint determination is performed to obtain the joint determination result within the scattering cavity.

[0007] Based on the joint determination results within the scattering cavity and combined with the evaluation information from the multi-source observation set, candidate output index values ​​for channel connections within the scattering cavity are generated.

[0008] Deviation analysis is performed on the candidate output index values ​​of the channel connections within the scattering cavity to obtain deviation information within the scattering cavity. Based on the deviation information, reliable data analysis is performed to obtain a reliable observation data set within the scattering cavity. Based on the reliable observation data set, the measured values ​​of flue gas characteristic parameters within the scattering cavity are obtained.

[0009] Furthermore, the first signal observation data of the first scattering observation channel includes the weak signal original response amplitude, weak signal signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient of the first scattering observation channel.

[0010] The second signal observation data of the second scattering observation channel includes the strong signal original response amplitude, strong signal-to-noise ratio, strong signal amplitude fluctuation coefficient, and strong signal saturation coefficient of the second scattering observation channel.

[0011] Furthermore, the method for quality assessment of the multi-source observation set within the scattering cavity is as follows: based on the weak signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient of the first scattering observation channel, a first quality index value of the first scattering observation channel is obtained through comprehensive analysis. The first quality index value of the first scattering observation channel is used to comprehensively quantify the quantification result of the weak signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient on the signal measurement reliability of the first scattering observation channel.

[0012] Based on the strong signal-to-noise ratio, strong signal amplitude fluctuation coefficient, and strong signal saturation coefficient of the second scattering observation channel, a second quality index value of the second scattering observation channel is obtained through comprehensive analysis. The second quality index value of the second scattering observation channel is used to comprehensively quantify the quantification result of the strong signal-to-noise ratio, strong signal amplitude fluctuation coefficient, and strong signal saturation coefficient on the signal measurement reliability of the second scattering observation channel.

[0013] The original weak signal response amplitude of the first scattering observation channel is compared with the preset range of connected signal amplitude of the observation channel. If the original weak signal response amplitude is within the preset range of connected signal amplitude of the observation channel, the first connection status identifier of the first scattering observation channel is marked as being in the connected range; otherwise, the first connection status identifier of the first scattering observation channel is marked as not being in the connected range.

[0014] The original strong signal response amplitude of the second scattering observation channel is compared with the preset observation channel connected signal amplitude range. If the original strong signal response amplitude is within the preset observation channel connected signal amplitude range, the second connection status identifier of the second scattering observation channel is marked as being in the connected range; otherwise, the second connection status identifier of the second scattering observation channel is marked as not being in the connected range.

[0015] The weak signal raw response amplitude, first quality index value, and first connection status identifier of the first scattering observation channel, and the strong signal raw response amplitude, second quality index value, and second connection status identifier of the second scattering observation channel are collectively encapsulated into a multi-source observation set within the scattering cavity.

[0016] Furthermore, the method for quality assessment of the multi-source observation set within the scattering cavity is as follows: the assessment information of the multi-source observation set within the scattering cavity includes the first channel quality information of the first scattering observation channel, the second channel quality information of the second scattering observation channel, and the status of the multi-source observation data within the scattering cavity.

[0017] The first quality index value of the first scattering observation channel is compared with the preset first quality index threshold. If the first quality index value of the first scattering observation channel is higher than or equal to the preset first quality index threshold, the first channel quality information of the first scattering observation channel is marked as qualified; otherwise, the first channel quality information of the first scattering observation channel is marked as unqualified.

[0018] The second quality index value of the second scattering observation channel is compared with the preset second quality index threshold. If the second quality index value of the second scattering observation channel is higher than or equal to the preset second quality index threshold, the second channel quality information of the second scattering observation channel is marked as qualified; otherwise, the second channel quality information of the second scattering observation channel is marked as unqualified.

[0019] The absolute value of the difference between the original weak signal response amplitude of the first scattering observation channel and the original strong signal response amplitude of the second scattering observation channel is denoted as the inter-channel signal intensity deviation index value within the scattering cavity.

[0020] The signal strength deviation index value between channels within the scattering cavity is compared with the preset signal strength deviation index threshold to obtain the status of multi-source observation data within the scattering cavity. The status of multi-source observation data within the scattering cavity includes abnormal status and normal status.

[0021] If the inter-channel signal strength deviation index value in the scattering cavity is higher than or equal to the preset inter-channel signal strength deviation index threshold, the multi-source observation data status in the scattering cavity will be marked as abnormal; otherwise, the multi-source observation data status in the scattering cavity will be marked as normal.

[0022] Furthermore, the method for performing joint determination based on the multi-source observation set evaluation information within the scattering cavity is as follows: the joint determination results within the scattering cavity include normal connectivity observation, abnormal connectivity observation, and abnormal channel.

[0023] If the quality information of the first channel or the quality information of the second channel is unqualified, the joint judgment result in the scattering cavity will be marked as channel abnormal.

[0024] If the quality information of both the first and second channels is qualified, and the status of the multi-source observation data in the scattering cavity is normal, then the joint judgment result in the scattering cavity is marked as normal connectivity observation. The average value between the weak signal original response amplitude of the first scattering observation channel and the strong signal original response amplitude of the second scattering observation channel is recorded as the original signal response amplitude in the scattering cavity, and the original signal response amplitude in the scattering cavity is included in the set of reliable observation data in the scattering cavity.

[0025] If both the first and second channel quality information are qualified, the multi-source observation data status within the scattering cavity is abnormal, and either the first or second connection status identifier indicates that the data is in a connected region, then the joint determination result within the scattering cavity is marked as an abnormal connected observation.

[0026] If both the first and second channel quality information are qualified, the multi-source observation data status within the scattering cavity is abnormal, and both the first and second connection status identifiers are not in the connected region, then the joint judgment result within the scattering cavity is marked as a channel abnormality.

[0027] Furthermore, the method for generating candidate output index values ​​for channel connectivity within the scattering cavity is as follows: extract the joint determination result within the scattering cavity; if the joint determination result within the scattering cavity indicates normal connectivity observation, then no further analysis is required.

[0028] If the joint determination result within the scattering cavity indicates a channel abnormality, a channel abnormality warning message will be sent to the staff's mobile terminal.

[0029] If the joint determination result within the scattering cavity indicates a connectivity observation anomaly, then the weak signal original response amplitude, the first quality index value, the strong signal original response amplitude, and the second quality index value of the second scattering observation channel are input into the channel connection candidate output analysis model to obtain the channel connection candidate output index value within the scattering cavity. The channel connection candidate output index value within the scattering cavity is used to represent the candidate output amplitude that satisfies the continuous connection relationship within the boundary interval of the channel parameter range.

[0030] Furthermore, the method for performing deviation analysis on the candidate output index values ​​of the channel connection within the scattering cavity is as follows: the first quality index value is compared with the second quality index value. If the first quality index value is higher than or equal to the second quality index value, the weak signal original response amplitude of the first scattering observation channel is marked as the reference signal amplitude within the scattering cavity.

[0031] If the first quality index value is lower than the second quality index value, then the original response amplitude of the strong signal in the second scattering observation channel will be marked as the reference signal amplitude in the scattering cavity.

[0032] The absolute value of the difference between the candidate output index value of the channel connection and the amplitude of the reference signal is denoted as the signal deviation value inside the scattering cavity.

[0033] The signal deviation value inside the scattering cavity is compared with a preset signal deviation threshold. If the signal deviation value inside the scattering cavity is higher than the preset signal deviation threshold, the deviation information inside the scattering cavity is marked as abnormal; otherwise, the deviation information inside the scattering cavity is marked as normal.

[0034] Furthermore, the method for performing reliable data analysis based on deviation information is as follows: if the deviation information in the scattering cavity is normal, the channel connection candidate output index value in the scattering cavity is included in the reliable observation data set in the scattering cavity; if the deviation information in the scattering cavity is abnormal, an isolation mechanism is triggered, the channel connection candidate output index value is marked as unreliable data, and a new channel connection candidate output index value is regenerated until the deviation information in the scattering cavity is normal.

[0035] Furthermore, the method for obtaining the flue gas characteristic parameter measurement information in the scattering cavity based on the processing of the reliable observation data set is as follows: the original signal response amplitude and channel connection candidate output index value in the scattering cavity are recorded as the flue gas characteristic parameter measurement value in the scattering cavity; the source identifier corresponding to the flue gas characteristic parameter measurement value in the scattering cavity is extracted; and the flue gas characteristic parameter measurement value in the scattering cavity and the corresponding source identifier are jointly encapsulated into the flue gas characteristic parameter measurement value information in the scattering cavity.

[0036] A second aspect of the present invention provides a wide-range measurement system for flue gas characteristic parameters based on multi-source data fusion, comprising: a data acquisition module for constructing a first scattering observation channel and a second scattering observation channel within a scattering cavity in a fire smoke acquisition channel, and for simultaneously acquiring first signal observation data of the first scattering observation channel and second signal observation data of the second scattering observation channel to form a multi-source observation set within the scattering cavity.

[0037] The joint determination module is used to perform quality assessment on the multi-source observation set within the scattering cavity, obtain the multi-source observation set assessment information within the scattering cavity, perform joint determination based on the multi-source observation set assessment information within the scattering cavity, and obtain the joint determination result within the scattering cavity.

[0038] The candidate output module is used to generate candidate output index values ​​for channel connections within the scattering cavity based on the joint judgment results within the scattering cavity and the evaluation information from the multi-source observation set.

[0039] The feature parameter analysis module is used to perform deviation analysis on the candidate output index values ​​of the channel connection within the scattering cavity, obtain deviation information within the scattering cavity, perform reliable data analysis based on the deviation information, obtain a reliable observation data set within the scattering cavity, and process the reliable observation data set to obtain the measured value information of the flue gas feature parameters within the scattering cavity.

[0040] The present invention has the following beneficial effects: This invention addresses the inter-segment jumps and unresolved issues caused by contradictory outputs from multiple observation channels within the range boundary of channel parameters. It achieves synchronous quantitative constraints on the reliability and connectivity conditions of the two channels by simultaneously acquiring first signal observation data from the first scattering observation channel and second signal observation data from the second scattering observation channel within a scattering cavity, and by introducing multi-source observation set evaluation information. This structure enables joint determination to clearly distinguish between three mutually exclusive states—normal connectivity observation, abnormal connectivity observation, and channel anomaly—at the same sampling time. This allows for stable triggering of the continuous connectivity decision process when connectivity observation is abnormal, direct output of stable observation results when connectivity observation is normal, and output of maintainable early warning information when channel anomalies occur. This avoids the erroneous switching and output jitter caused by existing technologies based on a single amplitude threshold or a single saturation criterion, significantly enhancing the determinism of state determination and the stability of measurement input at the range boundary.

[0041] This invention uses the channel connection candidate output index value as the unified candidate output anchor point for the range boundary interval under abnormal connectivity observation conditions. It adjusts the contribution intensity of the original response amplitudes of weak and strong signals to the candidate output using a first quality index value and a second quality index value. This ensures that the channel connection candidate output index value is always constrained by the amplitudes of the two channels and maintains continuity with changes in observation level. This mechanism replaces the inter-segment discontinuity caused by channel switching output in existing technologies. Furthermore, this invention selects a reference signal amplitude based on the first and second quality index values ​​and calculates the signal deviation value. Using a preset signal deviation threshold, it performs deviation analysis and reliable data analysis on the candidate output, enabling contradictory observations at the range boundary to be repeatedly determined as usable continuous connection outputs. This improves the continuity, monotonicity, and anti-false triggering capability of wide-range measurement results.

[0042] This invention encapsulates the measured values ​​of flue gas characteristic parameters within the scattering cavity and their source identifiers into flue gas characteristic parameter measurement information on the output side. It also incorporates key evidence such as joint judgment results, channel quality information, connection status identifiers, and deviation information into a traceability field, ensuring that each measurement value has a clear output path source and adjudication basis. Compared to existing technologies that only output a single measurement value and lack a chain of evidence, this invention can quickly locate the cause of conflict and the basis for isolation at the measurement range boundary during accident review, system calibration, and on-site maintenance. It enhances the interpretability and traceability of measurement results and reduces maintenance costs and the risk of decreased system reliability due to lack of traceability, thereby improving the engineering reliability and application adaptability of wide-range measurement results in fire smoke monitoring tasks. Attached Figure Description

[0043] Figure 1 This is a schematic diagram of the method flow of the present invention.

[0044] Figure 2 This is a schematic diagram of the system module connections of the present invention. Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] Please see Figure 1 As shown, the first aspect of the present invention provides a technical solution: a wide-range measurement method for flue gas characteristic parameters based on multi-source data fusion, comprising constructing a first scattering observation channel and a second scattering observation channel within a scattering cavity in a fire flue gas acquisition channel, and simultaneously acquiring first signal observation data of the first scattering observation channel and second signal observation data of the second scattering observation channel to form a multi-source observation set within the scattering cavity.

[0047] It should be noted that the first scattering observation channel and the second scattering observation channel in the scattering cavity of the fire smoke collection channel refer to two parallel scattering light observation links formed in the same scattering cavity. The first scattering observation channel is used to obtain weak signal observation data through multiple scattering enhancement under low smoke density conditions, and the second scattering observation channel is used to obtain strong signal observation data by controlling attenuation to keep the strong signal in the unsaturated range under high smoke density conditions, so as to jointly cover the wide range of measurement of smoke characteristic parameters, where the smoke characteristic parameters are the measured values ​​corresponding to the smoke concentration characteristic parameters obtained based on the scattering signal observation.

[0048] A quality assessment is performed on the multi-source observation set within the scattering cavity to obtain the assessment information of the multi-source observation set within the scattering cavity. Based on the assessment information of the multi-source observation set within the scattering cavity, a joint determination is performed to obtain the joint determination result within the scattering cavity.

[0049] Based on the joint determination results within the scattering cavity and combined with the evaluation information from the multi-source observation set, candidate output index values ​​for channel connections within the scattering cavity are generated.

[0050] Deviation analysis is performed on the candidate output index values ​​of the channel connections within the scattering cavity to obtain deviation information within the scattering cavity. Based on the deviation information, reliable data analysis is performed to obtain a reliable observation data set within the scattering cavity. Based on the reliable observation data set, the measured values ​​of flue gas characteristic parameters within the scattering cavity are obtained.

[0051] Specifically, the first signal observation data of the first scattering observation channel includes the weak signal original response amplitude, weak signal signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient of the first scattering observation channel.

[0052] It should be added that the raw weak signal response amplitude of the first scattering observation channel refers to the representative value of the weak signal response intensity within a sampling window. The scattered light is converted into a current signal by the photodetector of the first scattering observation channel. The current-to-voltage conversion and gain tuning are completed by a transimpedance amplifier and a programmable gain amplifier. A set of digital sampling points is obtained by sampling through an analog-to-digital converter. The average value of these digital sampling points within the sampling window is taken to obtain the raw weak signal response amplitude. The weak signal signal-to-noise ratio (SNR) refers to the degree to which the effective weak signal response is distinguishable relative to noise fluctuations. The average value of the sampling window is calculated using the digital sampling points output from the same analog-to-digital converter as the effective signal amplitude, and the dispersion of the digital sampling points around this average value is calculated as the noise level. The amplitude is calculated, and the ratio of the two is converted to obtain the weak signal signal-to-noise ratio. The dispersion is determined by the standard deviation of the digital sampling points within the sampling window. The weak signal amplitude fluctuation coefficient refers to the relative fluctuation intensity of the weak signal within multiple consecutive sampling windows. The original response amplitude of the weak signal is calculated for multiple consecutive sampling windows by the embedded processing unit to form an amplitude sequence. The standard deviation of the amplitude sequence is calculated and converted with the average value of the amplitude sequence to obtain the weak signal amplitude fluctuation coefficient. The weak signal saturation coefficient refers to the degree to which the weak signal response approaches the upper limit of the effective response of the first scattering observation channel. The full-scale code value of the analog-to-digital converter is used as a preset upper limit threshold. The proportion of digital sampling points exceeding the upper limit threshold within the sampling window is statistically analyzed to obtain the weak signal saturation coefficient.

[0053] The second signal observation data of the second scattering observation channel includes the strong signal original response amplitude, strong signal-to-noise ratio, strong signal amplitude fluctuation coefficient, and strong signal saturation coefficient of the second scattering observation channel.

[0054] It should be added that the raw strong signal response amplitude of the second scattering observation channel refers to the representative value of the strong signal response intensity output by the second scattering observation channel. The scattered light is converted into a current signal by the photodetector of the second scattering observation channel. After the incident light flux is attenuated by the controllable attenuation component of the second scattering observation channel, the current is converted to voltage and the amplitude is shaped by the front-end transimpedance amplifier. The signal within a sampling window is sampled by the analog-to-digital converter to obtain digital sampling points. The average of the digital sampling points is taken to obtain the raw strong signal response amplitude. The strong signal signal-to-noise ratio (SNR) refers to the degree to which the strong signal is distinguishable from noise. The average value of the digital sampling points within the same sampling window is taken as the effective signal amplitude. The dispersion around the average value is used as the noise amplitude, and the signal-to-noise ratio of the strong signal is calculated accordingly. The dispersion is determined by the standard deviation of the digital sampling points within the sampling window. The strong signal amplitude fluctuation coefficient refers to the relative fluctuation intensity of the strong signal within multiple consecutive sampling windows. The original response amplitude of the strong signal is calculated for each of the preset number of consecutive sampling windows by the embedded processor to form an amplitude sequence. The dispersion of the amplitude sequence is calculated and converted into the strong signal amplitude fluctuation coefficient by the ratio of the amplitude sequence average value. The strong signal saturation coefficient refers to the degree to which the strong signal approaches the upper limit of the effective response of the second scattering observation channel. The strong signal saturation coefficient is obtained by statistically analyzing the proportion of digital sampling points within the sampling window that exceed the preset upper limit threshold by the embedded processor.

[0055] Specifically, the method for quality assessment of the multi-source observation set within the scattering cavity is as follows: based on the weak signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient of the first scattering observation channel, a first quality index value of the first scattering observation channel is obtained through comprehensive analysis. The first quality index value of the first scattering observation channel is used to comprehensively quantify the quantification result of the weak signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient on the signal measurement reliability of the first scattering observation channel.

[0056] In this embodiment, the first quality index value of the first scattering observation channel can be obtained through the following analysis method, with the specific analysis conditions as follows: ; In the formula, This represents the first quality index value of the first scattering observation channel. This represents the signal-to-noise ratio of the weak signal in the first scattering observation channel. This represents the quality impact factor corresponding to the set unit weak signal-to-noise ratio. This represents the amplitude fluctuation coefficient of the weak signal in the first scattering observation channel. This represents the quality impact factor corresponding to the set weak signal amplitude fluctuation coefficient. This represents the weak signal saturation coefficient of the first scattering observation channel. This represents the quality influence factor corresponding to the set weak signal saturation coefficient.

[0057] It should be added that, in this embodiment, the quality influence factors corresponding to the unit weak signal-to-noise ratio, the weak signal amplitude fluctuation coefficient, and the weak signal saturation coefficient are obtained from the flue gas parameter measurement database.

[0058] It should be explained that the quality influence factors corresponding to the unit weak signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient are used to adjust the importance of the weak signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient of the first scattering observation channel in the process of analyzing and obtaining the first quality index value of the first scattering observation channel. For example, in the flue gas parameter measurement database, there is a pre-set mapping relationship between the weak signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient of the first scattering observation channel and the corresponding quality influence factors. Through the pre-set mapping relationship, the quality influence factors corresponding to the real-time weak signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient of the first scattering observation channel can be matched. By matching the weak signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient of the first scattering observation channel with the pre-set mapping relationship, the quality influence factors corresponding to the unit weak signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient can be obtained.

[0059] In this implementation scheme, the weak signal signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient of the first scattering observation channel are correlated and do not exist independently. For example, an increase in the weak signal amplitude fluctuation coefficient is usually accompanied by a decrease in the weak signal signal-to-noise ratio. This is because when the effective scattered light flux in the scattering cavity fluctuates unstablely in a short period of time, the proportion of noise components in the observation response increases, reducing the resolution of the weak signal within the same observation window. When the weak signal saturation coefficient increases, the original weak signal response amplitude is closer to the upper limit of the channel's response. The weak signal response curve is more likely to enter the compression range near the upper limit, which amplifies the impact of the weak signal amplitude fluctuation coefficient on the output and further enhances the effective weak signal signal-to-noise ratio. Limited; Under the combined condition of increased weak signal saturation coefficient and simultaneous increase in weak signal amplitude fluctuation coefficient, even if the weak signal signal-to-noise ratio is still within an acceptable range, the actual measurement reliability of the first scattering observation channel will still decrease significantly. The first quality index value of the first scattering observation channel obtained by comprehensive analysis can quantitatively evaluate the effective availability and stability level of the first scattering observation channel in the boundary range of channel parameter range. This helps to identify the credibility of the first scattering observation channel when there is a boundary conflict between the first scattering observation channel and the second scattering observation channel, and supports the subsequent joint judgment, conflict isolation and continuous connection constraint of channel connection candidate output index values, thereby reducing the risk of output jump and undecidable behavior in the boundary range.

[0060] Based on the strong signal-to-noise ratio, strong signal amplitude fluctuation coefficient, and strong signal saturation coefficient of the second scattering observation channel, a second quality index value of the second scattering observation channel is obtained through comprehensive analysis. The second quality index value of the second scattering observation channel is used to comprehensively quantify the quantification result of the strong signal-to-noise ratio, strong signal amplitude fluctuation coefficient, and strong signal saturation coefficient on the signal measurement reliability of the second scattering observation channel.

[0061] In this embodiment, the second quality index value of the second scattering observation channel can be obtained through the following analysis method, with the specific analysis conditions as follows: ; In the formula, This represents the second quality index value of the second scattering observation channel. This indicates the signal-to-noise ratio of the strong signal in the second scattering observation channel. This represents the quality impact factor corresponding to the set unit strong signal-to-noise ratio. This represents the amplitude fluctuation coefficient of the strong signal in the second scattering observation channel. This represents the quality impact factor corresponding to the set amplitude fluctuation coefficient of the strong signal. This represents the strong signal saturation coefficient of the second scattering observation channel. This represents the quality influence factor corresponding to the set strong signal saturation coefficient.

[0062] It should be added that, in this embodiment, the preset quality influence factors corresponding to the unit strong signal-to-noise ratio, the strong signal amplitude fluctuation coefficient, and the strong signal saturation coefficient are obtained from the flue gas parameter measurement database.

[0063] It should be explained that the quality influence factors corresponding to the unit strong signal-to-noise ratio, strong signal amplitude fluctuation coefficient, and strong signal saturation coefficient are used to adjust the importance of the strong signal-to-noise ratio, strong signal amplitude fluctuation coefficient, and strong signal saturation coefficient of the second scattering observation channel in the process of analyzing and obtaining the second quality index value of the second scattering observation channel.

[0064] The original weak signal response amplitude of the first scattering observation channel is compared with the preset amplitude range of the connected signal of the observation channel. If the original weak signal response amplitude is within the preset amplitude range of the connected signal of the observation channel, the first connection status identifier of the first scattering observation channel is marked as being in the connected range. Otherwise, the first connection status identifier of the first scattering observation channel is marked as not being in the connected range. The first connection status identifier explicitly marks the effective output segment of the first scattering observation channel within the channel parameter range boundary, so that subsequent joint determination can distinguish whether the channel has entered the connectable range or not, thereby avoiding segment jumps caused by blind switching at the range boundary.

[0065] The original strong signal response amplitude of the second scattering observation channel is compared with the preset observation channel connected signal amplitude range. If the original strong signal response amplitude is within the preset observation channel connected signal amplitude range, the second connection status identifier of the second scattering observation channel is marked as being in the connected range; otherwise, the second connection status identifier of the second scattering observation channel is marked as not being in the connected range. The second connection status identifier explicitly marks the effective output segment of the second scattering observation channel within the channel parameter range boundary, so that subsequent joint judgment can determine that at least one channel is in the connectable range when the outputs of the two channels contradict each other, and trigger the continuous connection adjudication process accordingly, thereby completing the conflict adjudication without producing inter-segment jumps.

[0066] The weak signal raw response amplitude, first quality index value, and first connection status identifier of the first scattering observation channel, and the strong signal raw response amplitude, second quality index value, and second connection status identifier of the second scattering observation channel are collectively encapsulated into a multi-source observation set within the scattering cavity.

[0067] Specifically, the method for quality assessment of the multi-source observation set within the scattering cavity is as follows: the multi-source observation set assessment information within the scattering cavity includes the first channel quality information of the first scattering observation channel, the second channel quality information of the second scattering observation channel, and the status of the multi-source observation data within the scattering cavity.

[0068] The first quality index value of the first scattering observation channel is compared with the preset first quality index threshold. If the first quality index value of the first scattering observation channel is higher than or equal to the preset first quality index threshold, the first channel quality information of the first scattering observation channel is marked as qualified. Otherwise, the first channel quality information of the first scattering observation channel is marked as unqualified. The measurement reliability of the first scattering observation channel is explicitly constrained in the judgment stage through the first channel quality information, so that in the event of channel conflict, qualified channels are given priority in participating in the continuous connection decision, avoiding false jumps introduced by degraded channels.

[0069] The second quality index value of the second scattering observation channel is compared with the preset second quality index threshold. If the second quality index value of the second scattering observation channel is higher than or equal to the preset second quality index threshold, the second channel quality information of the second scattering observation channel is marked as qualified; otherwise, the second channel quality information of the second scattering observation channel is marked as unqualified. The measurement reliability of the second scattering observation channel is explicitly constrained in the judgment stage through the second channel quality information, so that the credibility of the output of the second scattering observation channel can be identified and conflict isolation can be performed when there is a conflict in the channel. This avoids inter-segment jumps caused by simple threshold switching.

[0070] The absolute value of the difference between the original weak signal response amplitude of the first scattering observation channel and the original strong signal response amplitude of the second scattering observation channel is denoted as the inter-channel signal strength deviation index value in the scattering cavity. The inter-channel signal strength deviation index value is used to quantify the degree of consistency of the observations of the same flue gas state by the two channels at the same sampling time, and is direct evidence for triggering the determination of the conflict at the range boundary.

[0071] The signal strength deviation index value between channels within the scattering cavity is compared with the preset signal strength deviation index threshold to obtain the status of multi-source observation data within the scattering cavity. The status of multi-source observation data within the scattering cavity includes abnormal status and normal status.

[0072] If the signal strength deviation index value between channels in the scattering cavity is higher than or equal to the preset signal strength deviation index threshold, the status of the multi-source observation data in the scattering cavity is marked as abnormal; otherwise, the status of the multi-source observation data in the scattering cavity is marked as normal. By establishing a threshold-based determination of the signal strength deviation index value between channels, a contradictory triggering condition is established, so that the triggering of connectivity observation anomalies has clear and repeatable criteria, avoiding untraceable results caused by subjective selection of output channels.

[0073] Specifically, the method for joint determination based on the multi-source observation set evaluation information within the scattering cavity is as follows: the joint determination results within the scattering cavity include normal connectivity observation, abnormal connectivity observation, and abnormal channel.

[0074] If the quality information of the first channel or the quality information of the second channel is unqualified, the joint determination result in the scattering cavity is marked as a channel abnormality. This determination ensures that the continuous connection decision process will not be entered when the quality of any channel deteriorates, preventing pseudo-continuous output caused by constructing connection candidate outputs with unreliable observations, thereby improving the security and interpretability of conflict decision.

[0075] If the quality information of both the first and second channels is qualified, and the multi-source observation data within the scattering cavity is in a normal state, then the joint judgment result within the scattering cavity is marked as a normal connected observation. The average value between the weak signal original response amplitude of the first scattering observation channel and the strong signal original response amplitude of the second scattering observation channel is recorded as the original signal response amplitude within the scattering cavity. The original signal response amplitude within the scattering cavity is then included in the set of reliable observation data within the scattering cavity. By using the average value of the two channels to form the original signal response amplitude when the state is normal, the impact of instantaneous fluctuations of a single channel on the output can be reduced and the output stability can be improved.

[0076] If the quality information of the first channel and the quality information of the second channel are both qualified, the status of the multi-source observation data in the scattering cavity is abnormal, and the first connection status identifier or the second connection status identifier is in the connected interval, then the joint judgment result in the scattering cavity is marked as connected observation abnormal. This judgment binds the range boundary contradiction with at least one channel being in the connected interval, so that the system only triggers the generation of channel connection candidate output index values ​​when the connection conditions are met.

[0077] If the quality information of both the first and second channels is qualified, the multi-source observation data in the scattering cavity is in an abnormal state, and both the first and second connection status indicators are not in the connected interval, then the joint judgment result in the scattering cavity is marked as a channel abnormality. This judgment ensures that when neither channel enters the connected interval, connection candidate output generation is not performed, thus avoiding output drift caused by using connection logic outside the range boundary interval.

[0078] Specifically, the method for generating candidate output index values ​​for channel connectivity within the scattering cavity is as follows: extract the joint determination results within the scattering cavity. If the joint determination results within the scattering cavity indicate that connectivity observation is normal, then no further analysis is required.

[0079] If the joint determination result within the scattering cavity indicates a channel abnormality, a channel abnormality warning message will be sent to the staff's mobile terminal.

[0080] If the joint determination result within the scattering cavity indicates a connectivity observation anomaly, then the weak signal original response amplitude, the first quality index value, the strong signal original response amplitude, and the second quality index value of the first scattering observation channel are input into the channel connection candidate output analysis model to obtain the channel connection candidate output index value within the scattering cavity. The channel connection candidate output index value within the scattering cavity is used to represent the candidate output amplitude that satisfies the continuous connection relationship within the channel parameter range boundary interval. The channel connection candidate output index value serves as a unified candidate output for the range boundary interval, used to replace simple switching output when the two channels contradict each other, thereby suppressing inter-segment jumps and maintaining output continuity.

[0081] It should be noted that the weak signal raw response amplitude characterizes the direct observation level of the flue gas scattering intensity of the first scattering observation channel within the boundary range of the channel parameter range, while the strong signal raw response amplitude characterizes the direct observation level of the flue gas scattering intensity of the second scattering observation channel within the boundary range of the channel parameter range. The two differ under abnormal connectivity observation conditions and jointly limit the feasible value range of the candidate output amplitude. The first quality index value is used to quantify the reliability weight of the weak signal raw response amplitude, and the second quality index value is used to quantify the reliability weight of the strong signal raw response amplitude. When generating the channel connectivity candidate output index value, the channel connectivity candidate output analysis model uses the first quality index value to adjust the contribution intensity of the weak signal raw response amplitude and utilizes... The second quality index value adjusts the contribution intensity of the original response amplitude of the strong signal, so that the candidate output index value of the channel connection converges towards the original response amplitude of the weak signal when the first quality index value is higher than the second quality index value, and converges towards the original response amplitude of the strong signal when the second quality index value is higher than the first quality index value. At the same time, when the first quality index value and the second quality index value are close, a compromise output that satisfies the continuous connection relationship is generated between the two. Thus, the candidate output index value of the channel connection remains within the constraint range of the original response amplitude of the weak signal and the original response amplitude of the strong signal in the boundary interval of the channel parameter range, and also maintains the continuity with the change of the observation level of the two channels. This provides a unified candidate output for subsequent deviation analysis and conflict isolation processing.

[0082] It should be added that the training method for the channel connection candidate output analysis model is as follows: A calibration training dataset is constructed for the channel connection candidate output analysis model. This dataset includes weak signal raw response amplitude samples and first quality index value samples for the first scattering observation channel, strong signal raw response amplitude samples and second quality index value samples for the second scattering observation channel, and corresponding range boundary reference output index values. In a pre-designed flue gas simulation experimental setup, a continuously varying flue gas concentration capable of accurately generating values ​​covering the upper limit of the first scattering observation channel's range and the lower limit of the second scattering observation channel's range is configured. The actual flue gas concentration value at each moment is synchronously recorded using a high-precision reference instrument, and this actual concentration value is converted into a reference output using a concentration conversion chain consistent with this system. The index value serves as the reference output index value for the range boundary interval. Simultaneously, the original weak signal response amplitude, weak signal amplitude fluctuation coefficient, weak signal signal-to-noise ratio, and weak signal saturation coefficient output from the first scattering observation channel are collected in parallel to calculate the first quality index value sample in real time. The original strong signal response amplitude, strong signal amplitude fluctuation coefficient, strong signal signal-to-noise ratio, and strong signal saturation coefficient output from the second scattering observation channel are collected in parallel to calculate the second quality index value sample in real time. The original weak signal response amplitude sample, the first quality index value sample, the original strong signal response amplitude sample, and the second quality index value sample are aligned with the real concentration label value of the range boundary interval on the time axis to form a calibration training dataset.

[0083] A multi-layer feedforward neural network is selected as the architecture for the channel connection candidate output analysis model. This model includes an input layer, at least two hidden layers, and an output layer. The input layer has four neurons, corresponding to four input features: the amplitude of the original response to the weak signal, the first quality index value, the amplitude of the original response to the strong signal, and the second quality index value. The output layer has one neuron, used to output the channel connection candidate output index value. The activation function of the hidden layers uses linear rectified units, and the activation function of the output layer uses a linear activation function to ensure that the output is a continuous real value. The constructed calibration training dataset is divided into a training set and a validation set. The channel connection candidate output analysis model is trained under supervision using the training set. During training, the predicted output value is calculated using forward propagation, and the mean squared error loss function is used to measure the predicted output value. The difference between the candidate output index value of the channel connection and the true reference output index value is measured, and the weight parameters and bias parameters of the channel connection candidate output analysis model are iteratively updated using the backpropagation algorithm and adaptive moment estimation optimizer to minimize the loss function. During this process, the performance of the channel connection candidate output analysis model is continuously monitored using a validation set to prevent overfitting. The performance of the trained channel connection candidate output analysis model is evaluated on the validation set. When the root mean square error of the channel connection candidate output analysis model in predicting the output of the validation set samples is lower than a preset engineering application error threshold, and the coefficient of determination between the predicted output value and the reference output index value is higher than a preset coefficient of determination threshold, the channel connection candidate output analysis model is considered to have completed training, and the trained channel connection candidate output analysis model is obtained.

[0084] Specifically, the method for performing deviation analysis on the candidate output index values ​​of channel connections within the scattering cavity is as follows: the first quality index value is compared with the second quality index value. If the first quality index value is higher than or equal to the second quality index value, the weak signal original response amplitude of the first scattering observation channel is marked as the reference signal amplitude within the scattering cavity. By selecting the reference signal amplitude based on the relationship between the first and second quality index values, the reference source for deviation analysis is bound to the observation channel with higher reliability. This avoids misjudging the candidate output index values ​​of channel connections caused by using the observation channel with lower reliability as a reference. It is beneficial to stabilize the adjudication conflict and suppress inter-segment jumps when channels contradict each other at the range boundary.

[0085] If the first quality index value is lower than the second quality index value, then the original response amplitude of the strong signal in the second scattering observation channel will be marked as the reference signal amplitude in the scattering cavity.

[0086] The absolute value of the difference between the channel connection candidate output index value and the reference signal amplitude is recorded as the signal deviation value in the scattering cavity. The deviation value is used to quantify the degree of deviation of the channel connection candidate output index value from the current reliable value. The judgment of whether the continuous connection candidate output deviates from the reliable range is transformed into actionable deviation evidence, thereby avoiding output jumps caused by the channel connection candidate output index value biasing towards unreliable channels at the range boundary.

[0087] The signal deviation value inside the scattering cavity is compared with a preset signal deviation threshold. If the signal deviation value inside the scattering cavity is higher than the preset signal deviation threshold, the deviation information inside the scattering cavity is marked as abnormal; otherwise, the deviation information inside the scattering cavity is marked as normal.

[0088] Specifically, the method for performing reliable data analysis based on deviation information is as follows: If the deviation information within the scattering cavity is normal, the channel connection candidate output index value within the scattering cavity is included in the reliable observation data set within the scattering cavity. If the deviation information within the scattering cavity is abnormal, an isolation mechanism is triggered, the channel connection candidate output index value is marked as unreliable data, and a new channel connection candidate output index value is regenerated until the deviation information within the scattering cavity is normal. By directly including the data in the reliable observation data set when the deviation is normal, the continuous connection output at the range boundary can be stably output with the channel connection candidate output index value as the anchor point, thereby suppressing inter-segment jumps. By triggering the isolation mechanism when the deviation is abnormal, it prevents candidate outputs deviating from the reliable anchor point from directly entering the output link, which could lead to false alarms or malfunctions in linkage.

[0089] Specifically, the method for obtaining the flue gas characteristic parameter measurement information within the scattering cavity based on the processing of a reliable observation data set is as follows: the original signal response amplitude and the candidate output index value of the channel connection within the scattering cavity are recorded as the flue gas characteristic parameter measurement value within the scattering cavity. The source identifier corresponding to the flue gas characteristic parameter measurement value within the scattering cavity is extracted. The flue gas characteristic parameter measurement value and the corresponding source identifier within the scattering cavity are jointly encapsulated as the flue gas characteristic parameter measurement value information within the scattering cavity. When the joint determination result is that the connectivity observation is normal, the original signal response amplitude is recorded as the flue gas characteristic parameter measurement value. When the joint determination result is that the connectivity observation is abnormal, the candidate output index value of the channel connection is recorded as the flue gas characteristic parameter measurement value. By uniformly recording the original signal response amplitude and the candidate output index value of the channel connection as the flue gas characteristic parameter measurement value, and distinguishing between the normal connectivity observation output path and the abnormal connectivity observation connection output path by the source identifier, the measurement result remains continuous and monotonic at the range boundary and has traceability. The source identifier includes the normal connectivity observation source identifier and the abnormal connectivity observation source identifier.

[0090] A second aspect of the present invention provides a wide-range measurement system for flue gas characteristic parameters based on multi-source data fusion, comprising: a data acquisition module for constructing a first scattering observation channel and a second scattering observation channel within a scattering cavity in a fire smoke acquisition channel, and for simultaneously acquiring first signal observation data of the first scattering observation channel and second signal observation data of the second scattering observation channel to form a multi-source observation set within the scattering cavity.

[0091] The joint determination module is used to perform quality assessment on the multi-source observation set within the scattering cavity, obtain the multi-source observation set assessment information within the scattering cavity, perform joint determination based on the multi-source observation set assessment information within the scattering cavity, and obtain the joint determination result within the scattering cavity.

[0092] The candidate output module is used to generate candidate output index values ​​for channel connections within the scattering cavity based on the joint judgment results within the scattering cavity and the evaluation information from the multi-source observation set.

[0093] The feature parameter analysis module is used to perform deviation analysis on the candidate output index values ​​of the channel connection within the scattering cavity, obtain deviation information within the scattering cavity, perform reliable data analysis based on the deviation information, obtain a reliable observation data set within the scattering cavity, and process the reliable observation data set to obtain the measured value information of the flue gas feature parameters within the scattering cavity.

[0094] It should be noted that the wide-range measurement method and system for flue gas characteristic parameters based on multi-source data fusion also includes a flue gas parameter measurement database, which stores the quality influence factors corresponding to the unit weak signal-to-noise ratio, the weak signal amplitude fluctuation coefficient, the weak signal saturation coefficient, the unit strong signal-to-noise ratio, the strong signal amplitude fluctuation coefficient, the strong signal saturation coefficient, the amplitude range of the connected signal of the observation channel, the signal strength deviation index threshold between channels, the first quality index threshold, the second quality index threshold, and the signal deviation threshold, all obtained by analyzing historical data.

[0095] It should be noted that this implementation scheme can be expanded to construct three or more scattering observation channels within the same scattering cavity, and to acquire data in parallel to form a multi-channel, multi-source observation set. Through the same quality assessment, joint judgment, candidate connection output generation, and conflict isolation mechanism, a wider range coverage and more accurate output can be achieved.

[0096] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0097] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention.

Claims

1. A wide-range measurement method for flue gas characteristic parameters based on multi-source data fusion, characterized in that, include: A first scattering observation channel and a second scattering observation channel are constructed within the scattering cavity in the fire smoke collection channel. The first signal observation data of the first scattering observation channel and the second signal observation data of the second scattering observation channel are collected in parallel to form a multi-source observation set within the scattering cavity. A quality assessment is performed on the multi-source observation set within the scattering cavity to obtain the assessment information of the multi-source observation set within the scattering cavity. Based on the assessment information of the multi-source observation set within the scattering cavity, a joint determination is performed to obtain the joint determination result within the scattering cavity. Based on the joint determination results within the scattering cavity and combined with the evaluation information from the multi-source observation set, candidate output index values ​​for channel connections within the scattering cavity are generated. Deviation analysis is performed on the candidate output index values ​​of the channel connections within the scattering cavity to obtain deviation information within the scattering cavity. Based on the deviation information, reliable data analysis is performed to obtain a reliable observation data set within the scattering cavity. Based on the reliable observation data set, the measured values ​​of flue gas characteristic parameters within the scattering cavity are obtained.

2. The method for wide-range measurement of flue gas characteristic parameters based on multi-source data fusion according to claim 1, characterized in that: The first signal observation data of the first scattering observation channel includes the weak signal original response amplitude, weak signal signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient of the first scattering observation channel; The second signal observation data of the second scattering observation channel includes the strong signal original response amplitude, strong signal-to-noise ratio, strong signal amplitude fluctuation coefficient, and strong signal saturation coefficient of the second scattering observation channel.

3. The method for wide-range measurement of flue gas characteristic parameters based on multi-source data fusion according to claim 2, characterized in that: The method for quality assessment of the multi-source observation set within the scattering cavity is as follows: Based on the weak signal signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient of the first scattering observation channel, a first quality index value of the first scattering observation channel is obtained through comprehensive analysis. The first quality index value of the first scattering observation channel is used to comprehensively quantify the quantification result of the weak signal signal-to-noise ratio, weak signal amplitude fluctuation coefficient, and weak signal saturation coefficient on the signal measurement reliability of the first scattering observation channel. Based on the strong signal-to-noise ratio, strong signal amplitude fluctuation coefficient, and strong signal saturation coefficient of the second scattering observation channel, a second quality index value of the second scattering observation channel is obtained through comprehensive analysis. The second quality index value of the second scattering observation channel is used to comprehensively quantify the quantification result of the strong signal-to-noise ratio, strong signal amplitude fluctuation coefficient, and strong signal saturation coefficient on the signal measurement reliability of the second scattering observation channel. The original weak signal response amplitude of the first scattering observation channel is compared with the preset range of connected signal amplitude of the observation channel. If the original weak signal response amplitude is within the preset range of connected signal amplitude of the observation channel, the first connection status identifier of the first scattering observation channel is marked as being in the connected range; otherwise, the first connection status identifier of the first scattering observation channel is marked as not being in the connected range. The original strong signal response amplitude of the second scattering observation channel is compared with the preset observation channel connected signal amplitude range. If the original strong signal response amplitude is within the preset observation channel connected signal amplitude range, the second connection status identifier of the second scattering observation channel is marked as being in the connected range; otherwise, the second connection status identifier of the second scattering observation channel is marked as not being in the connected range. The weak signal raw response amplitude, first quality index value, and first connection status identifier of the first scattering observation channel, and the strong signal raw response amplitude, second quality index value, and second connection status identifier of the second scattering observation channel are collectively encapsulated into a multi-source observation set within the scattering cavity.

4. The method for wide-range measurement of flue gas characteristic parameters based on multi-source data fusion according to claim 3, characterized in that: The method for quality assessment of the multi-source observation set within the scattering cavity is as follows: The multi-source observation set evaluation information within the scattering cavity includes the first channel quality information of the first scattering observation channel, the second channel quality information of the second scattering observation channel, and the status of the multi-source observation data within the scattering cavity. The first quality index value of the first scattering observation channel is compared with the preset first quality index threshold. If the first quality index value of the first scattering observation channel is higher than or equal to the preset first quality index threshold, the first channel quality information of the first scattering observation channel is marked as qualified; otherwise, the first channel quality information of the first scattering observation channel is marked as unqualified. The second quality index value of the second scattering observation channel is compared with the preset second quality index threshold. If the second quality index value of the second scattering observation channel is higher than or equal to the preset second quality index threshold, the second channel quality information of the second scattering observation channel is marked as qualified; otherwise, the second channel quality information of the second scattering observation channel is marked as unqualified. The absolute value of the difference between the original weak signal response amplitude of the first scattering observation channel and the original strong signal response amplitude of the second scattering observation channel is denoted as the inter-channel signal intensity deviation index value in the scattering cavity. The signal strength deviation index value between channels in the scattering cavity is compared with the preset signal strength deviation index threshold to obtain the multi-source observation data status in the scattering cavity. The multi-source observation data status in the scattering cavity includes abnormal status and normal status. If the inter-channel signal strength deviation index value in the scattering cavity is higher than or equal to the preset inter-channel signal strength deviation index threshold, the multi-source observation data status in the scattering cavity will be marked as abnormal; otherwise, the multi-source observation data status in the scattering cavity will be marked as normal.

5. The method for wide-range measurement of flue gas characteristic parameters based on multi-source data fusion according to claim 4, characterized in that: The method for performing joint determination based on the evaluation information of the multi-source observation set within the scattering cavity is as follows: The joint determination results within the scattering cavity include connectivity observation normal, connectivity observation abnormal, and channel abnormality; If the quality information of the first channel or the quality information of the second channel is unqualified, the joint judgment result in the scattering cavity will be marked as channel abnormal. If the quality information of the first channel and the quality information of the second channel are both qualified, and the status of the multi-source observation data in the scattering cavity is normal, then the joint judgment result in the scattering cavity is marked as normal connectivity observation. The average value between the weak signal original response amplitude of the first scattering observation channel and the strong signal original response amplitude of the second scattering observation channel is recorded as the signal original response amplitude in the scattering cavity, and the signal original response amplitude in the scattering cavity is included in the set of reliable observation data in the scattering cavity. If both the quality information of the first channel and the quality information of the second channel are qualified, the status of the multi-source observation data in the scattering cavity is abnormal, and the first connection status identifier or the second connection status identifier is in the connected interval, then the joint judgment result in the scattering cavity is marked as connected observation abnormal. If both the first and second channel quality information are qualified, the multi-source observation data status within the scattering cavity is abnormal, and both the first and second connection status identifiers are not in the connected region, then the joint judgment result within the scattering cavity is marked as a channel abnormality.

6. The method for wide-range measurement of flue gas characteristic parameters based on multi-source data fusion according to claim 5, characterized in that: The method for generating candidate output index values ​​for channel connections within the scattering cavity is as follows: Extract the joint determination results within the scattering cavity. If the joint determination results within the scattering cavity indicate that connectivity observation is normal, then no further analysis is required. If the joint determination result in the scattering cavity indicates a channel abnormality, a channel abnormality warning message will be sent to the staff's mobile terminal. If the joint determination result within the scattering cavity indicates a connectivity observation anomaly, then the weak signal original response amplitude, the first quality index value, the strong signal original response amplitude, and the second quality index value of the second scattering observation channel are input into the channel connection candidate output analysis model to obtain the channel connection candidate output index value within the scattering cavity. The channel connection candidate output index value within the scattering cavity is used to represent the candidate output amplitude that satisfies the continuous connection relationship within the boundary interval of the channel parameter range.

7. The method for wide-range measurement of flue gas characteristic parameters based on multi-source data fusion according to claim 6, characterized in that: The method for performing deviation analysis on the candidate output index values ​​of the channel connections within the scattering cavity is as follows: The first quality index value is compared with the second quality index value. If the first quality index value is higher than or equal to the second quality index value, the weak signal original response amplitude of the first scattering observation channel is marked as the reference signal amplitude in the scattering cavity. If the first quality index value is lower than the second quality index value, then the original response amplitude of the strong signal in the second scattering observation channel is marked as the reference signal amplitude in the scattering cavity. The absolute value of the difference between the candidate output index value of the channel connection and the amplitude of the reference signal is recorded as the signal deviation value in the scattering cavity. The signal deviation value inside the scattering cavity is compared with a preset signal deviation threshold. If the signal deviation value inside the scattering cavity is higher than the preset signal deviation threshold, the deviation information inside the scattering cavity is marked as abnormal; otherwise, the deviation information inside the scattering cavity is marked as normal.

8. The method for wide-range measurement of flue gas characteristic parameters based on multi-source data fusion according to claim 7, characterized in that: The method for performing reliable data analysis based on deviation information is as follows: If the deviation information within the scattering cavity is normal, the channel connection candidate output index value within the scattering cavity is included in the set of reliable observation data within the scattering cavity. If the deviation information within the scattering cavity is abnormal, an isolation mechanism is triggered, the channel connection candidate output index value is marked as unreliable data, and a new channel connection candidate output index value is regenerated until the deviation information within the scattering cavity is normal.

9. The method for wide-range measurement of flue gas characteristic parameters based on multi-source data fusion according to claim 1, characterized in that: The method for obtaining the measured values ​​of flue gas characteristic parameters within the scattering cavity based on the processing of a reliable observation data set is as follows: The original signal response amplitude and channel connection candidate output index value within the scattering cavity are recorded as the flue gas characteristic parameter measurement values ​​within the scattering cavity. The source identifier corresponding to the flue gas characteristic parameter measurement values ​​within the scattering cavity is extracted, and the flue gas characteristic parameter measurement values ​​within the scattering cavity and the corresponding source identifier are jointly encapsulated into flue gas characteristic parameter measurement value information within the scattering cavity.

10. A wide-range measurement system for flue gas characteristic parameters based on multi-source data fusion, characterized in that, include: The data acquisition module is used to construct a first scattering observation channel and a second scattering observation channel within the scattering cavity in the fire smoke collection channel, and to collect the first signal observation data of the first scattering observation channel and the second signal observation data of the second scattering observation channel in parallel, forming a multi-source observation set within the scattering cavity. The joint determination module is used to perform quality assessment on the multi-source observation set within the scattering cavity, obtain the multi-source observation set assessment information within the scattering cavity, perform joint determination based on the multi-source observation set assessment information within the scattering cavity, and obtain the joint determination result within the scattering cavity. The candidate output module is used to generate candidate output index values ​​for channel connections within the scattering cavity based on the joint judgment results within the scattering cavity and the evaluation information from the multi-source observation set. The feature parameter analysis module is used to perform deviation analysis on the candidate output index values ​​of the channel connection within the scattering cavity, obtain deviation information within the scattering cavity, perform reliable data analysis based on the deviation information, obtain a reliable observation data set within the scattering cavity, and process the reliable observation data set to obtain the measured value information of the flue gas feature parameters within the scattering cavity.

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