Method for correcting concentration of mine gas detection based on in-situ self-calibration

Abstract

The application provides a mine gas detection concentration correction method based on in-situ self-calibration, which comprises the following steps: acquiring local flow field parameters of a region corresponding to a gas sensor and a gas concentration detection value detected by the gas sensor; performing in-situ self-calibration on the gas sensor to obtain state parameters; acquiring a flow field compensation coefficient based on the local flow field parameters; performing deviation degree analysis on the state parameters to obtain a state compensation coefficient; correcting the gas concentration detection value based on the flow field compensation coefficient to obtain a first concentration correction value; and correcting the first concentration correction value based on the state compensation coefficient to obtain a final concentration correction value. Through the technical scheme, the accuracy of gas concentration detection can be improved.

Description

Technical Field

[0001] This application relates to the field of mine safety monitoring technology, and in particular to a method, device, equipment and storage medium for correcting mine gas detection concentration based on in-situ self-calibration. Background Technology

[0002] Monitoring toxic and hazardous gases in underground mines is a core aspect of mine safety monitoring. Current technologies rely on direct conversion of raw signals for concentration detection, neglecting environmental interference in the mine. Furthermore, long-term sensor operation leads to performance degradation, resulting in low detection accuracy and a high false alarm rate. Additionally, fixed-cycle sensor maintenance fails to provide predictive maintenance based on actual operating conditions, making it unsuitable for the precise, stable, and intelligent control requirements of gas monitoring in complex and harsh mine environments. Summary of the Invention

[0003] This application aims to at least partially address one of the technical problems in the related art.

[0004] In a first aspect, this application proposes a method for correcting mine gas detection concentration based on in-situ self-calibration. The method includes: acquiring local flow field parameters of the area corresponding to a gas sensor, and the gas concentration detection value detected by the gas sensor; performing in-situ self-calibration on the gas sensor to obtain state parameters; obtaining a flow field compensation coefficient based on the local flow field parameters; performing deviation analysis on the state parameters to obtain a state compensation coefficient; correcting the gas concentration detection value based on the flow field compensation coefficient to obtain a first concentration correction value; and correcting the first concentration correction value based on the state compensation coefficient to obtain a final concentration correction value.

[0005] In one implementation, the in-situ self-calibration of the gas sensor to obtain state parameters includes at least one of the following: baseline signal detection of the gas sensor to obtain zero-point drift parameters and baseline offset parameters; response characteristic detection of the gas sensor to obtain sensitivity attenuation parameters, response delay parameters, and recovery time parameters; and output stability detection of the gas sensor to obtain baseline noise parameters and signal stability parameters.

[0006] In one optional implementation, obtaining the flow field compensation coefficient based on the local flow field parameters includes: for each of the local flow field parameters, obtaining a corresponding compensation factor based on the local flow field parameters; and obtaining the flow field compensation coefficient based on the compensation factor corresponding to each of the local flow field parameters.

[0007] In one implementation, the state compensation coefficient includes a state compensation factor and a state compensation value. The step of correcting the first concentration correction value based on the state compensation coefficient to obtain a final concentration correction value includes: correcting the first concentration correction value based on the state compensation coefficient to obtain a second concentration correction value; and compensating the second concentration correction value based on the state compensation value to obtain the final concentration correction value.

[0008] In one implementation, when the final concentration correction value is greater than or equal to a preset concentration threshold, the method further includes: determining whether the state parameter is within a preset parameter range; determining whether there is a local flow field anomaly based on the local flow field parameter; acquiring a first concentration correction value sequence corresponding to the gas sensor and a second concentration correction value sequence adjacent to the location of the gas sensor; determining whether a spatiotemporal consistency condition is met based on the sequence difference between the first concentration correction value sequence and the second concentration correction value sequence; and determining that the final concentration correction value is a true exceedance when it is determined that the state parameter is within the parameter range, there is no local flow field anomaly, and the spatiotemporal consistency condition is met.

[0009] In one implementation, the method further includes: obtaining a performance degradation index based on the state parameters; obtaining the target position of the performance degradation index in a pre-established performance degradation curve; the performance degradation curve is established based on the historical state parameter change trend and historical operating data of the gas sensor; and determining the remaining usable lifetime value of the gas sensor based on the target position.

[0010] Secondly, this application proposes a mine gas detection concentration correction device based on in-situ self-calibration. The device includes: an acquisition module for acquiring local flow field parameters of the area corresponding to the gas sensor and the gas concentration detection value detected by the gas sensor; a first processing module for performing in-situ self-calibration on the gas sensor to obtain state parameters; a second processing module for obtaining a flow field compensation coefficient based on the local flow field parameters; a third processing module for performing deviation analysis on the state parameters to obtain a state compensation coefficient; a fourth processing module for correcting the gas concentration detection value based on the flow field compensation coefficient to obtain a first concentration correction value; and a fifth processing module for correcting the first concentration correction value based on the state compensation coefficient to obtain a final concentration correction value.

[0011] In one implementation, the first processing module is configured to perform at least one of the following: perform baseline signal detection on the gas sensor to obtain zero-point drift parameters and baseline offset parameters; perform response characteristic detection on the gas sensor to obtain sensitivity attenuation parameters, response delay parameters, and recovery time parameters; and perform output stability detection on the gas sensor to obtain baseline noise parameters and signal stability parameters.

[0012] In one alternative implementation, the second processing module may be used to: for each of the local flow field parameters, obtain a corresponding compensation factor based on the local flow field parameters; and obtain the flow field compensation coefficient based on the compensation factor corresponding to each of the local flow field parameters.

[0013] In one implementation, the state compensation coefficient includes a state compensation factor and a state compensation value. The fifth processing module can be used to: correct the first concentration correction value based on the state compensation coefficient to obtain a second concentration correction value; and compensate the second concentration correction value based on the state compensation value to obtain the final concentration correction value.

[0014] In one implementation, the device further includes a sixth processing module, configured to perform the following steps when the final concentration correction value is greater than or equal to a preset concentration threshold: determining whether the state parameter is within a preset parameter range; determining whether there is a local flow field anomaly based on the local flow field parameter; acquiring a first concentration correction value sequence corresponding to the gas sensor and a second concentration correction value sequence adjacent to the location of the gas sensor; determining whether a spatiotemporal consistency condition is met based on the sequence difference between the first concentration correction value sequence and the second concentration correction value sequence; and determining that the final concentration correction value is a true exceedance when it is determined that the state parameter is within the parameter range, there is no local flow field anomaly, and the spatiotemporal consistency condition is met.

[0015] In one implementation, the device further includes a seventh processing module, configured to: obtain a performance degradation index based on the state parameters; obtain the target position of the performance degradation index in a pre-established performance degradation curve; the performance degradation curve is established based on the historical state parameter variation trend and historical operating data of the gas sensor; and determine the remaining usable lifetime value of the gas sensor based on the target position.

[0016] Thirdly, this application provides an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method as described in the first aspect.

[0017] Fourthly, this application proposes a storage medium storing instructions that, when executed on an electronic device, cause the electronic device to perform the method described in the first aspect.

[0018] Fifthly, this application proposes a program product comprising at least one of a program and instructions, wherein when the program or instructions are executed by an electronic device, they implement the steps of the method described in the first aspect.

[0019] The method, apparatus, equipment, and storage medium for correcting mine gas detection concentration based on in-situ self-calibration provided in this application can simultaneously acquire local flow field parameters of the corresponding area of ​​the gas sensor and the gas concentration detection value of the sensor itself. Then, the sensor is self-calibrated in-situ to obtain state parameters. Subsequently, flow field compensation coefficients and state compensation coefficients are obtained based on the deviation of the local flow field parameters and state parameters, respectively. Finally, the original gas concentration detection value is corrected to the final concentration correction value using the flow field compensation coefficients and state compensation coefficients. This scheme can effectively eliminate detection deviations caused by environmental flow field factors, as well as sensor performance degradation factors such as zero-point drift, sensitivity attenuation, and response hysteresis, thereby improving the accuracy of gas concentration detection.

[0020] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0021] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0022] Figure 1 This is a schematic flowchart of a mine gas detection concentration correction method based on in-situ self-calibration provided in an embodiment of this application; Figure 2 This is a schematic flowchart of another mine gas detection concentration correction method based on in-situ self-calibration provided in the embodiments of this application; Figure 3 This is a schematic diagram of a mine gas detection concentration correction device based on in-situ self-calibration provided in an embodiment of this application; Figure 4 This is a schematic diagram of another mine gas detection concentration correction device based on in-situ self-calibration provided in the embodiments of this application; Figure 5 This is a schematic diagram of another mine gas detection concentration correction device based on in-situ self-calibration provided in the embodiments of this application; Figure 6 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0023] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0024] The following describes, with reference to the accompanying drawings, a method and apparatus for correcting mine gas detection concentration based on in-situ self-calibration according to embodiments of this application.

[0025] Figure 1 This is a schematic flowchart of a mine gas detection concentration correction method based on in-situ self-calibration provided in an embodiment of this application. Figure 1 As shown, the method may include, but is not limited to, the following steps: S1. Obtain the local flow field parameters of the area corresponding to the gas sensor, as well as the gas concentration detection value detected by the gas sensor.

[0026] For example, the gas detection signal output by the gas sensor is acquired, preprocessed, and then converted to obtain the original gas concentration detection value. Simultaneously, local flow field parameters at the location of the gas sensor are acquired. For instance, the process of acquiring the gas concentration detection value can be represented as follows:

[0027] in, This is the gas concentration detection value. This represents the conversion relationship between the gas concentration detection signal and the detection value. This represents the gas concentration detection signal after pretreatment.

[0028] It is understood that gas detection signals can be voltage signals, current signals, frequency signals, digital signals, or other raw output forms that can characterize the detection results of the gas to be measured. For the acquired gas detection signals, appropriate preprocessing can be performed according to their signal type. Preprocessing may include at least one of the following: filtering, outlier removal, analog-to-digital conversion, time synchronization, preliminary baseline correction, and dimensional unification, to reduce the impact of acquisition noise, instantaneous spikes, and signal drift on subsequent concentration conversion and in-situ self-calibration analysis.

[0029] In the embodiments of this application, the local flow field parameters include at least one of the following: wind speed, wind direction, temperature, humidity, air pressure, dust concentration, turbulence fluctuation parameters, sensor attitude parameters, and vibration parameters.

[0030] It should be noted that wind speed and wind direction can be used to characterize the influence of local airflow on the diffusion state of the gas under test and on the sampling state of the sensor; temperature, humidity and air pressure can be used to characterize the influence of environmental conditions on the response law of the detection signal; dust concentration can be used to characterize the influence of particulate matter deposition or obstruction on the stability of sensor output; attitude parameters can be used to characterize whether the sensor installation direction or suspension state has shifted; and vibration parameters can characterize whether the sensor is subjected to mechanical disturbance.

[0031] S2. Perform in-situ self-calibration of the gas sensor to obtain state parameters.

[0032] In the embodiments of this application, the state parameters include at least one of the following: zero-point drift parameter, baseline offset parameter, sensitivity attenuation parameter, response delay parameter, recovery time parameter, baseline noise parameter, and signal stability parameter.

[0033] In one implementation, the gas sensor is self-calibrated in situ to obtain state parameters, including at least one of the following: baseline signal detection of the gas sensor to obtain zero-point drift parameters and baseline offset parameters; response characteristic detection of the gas sensor to obtain sensitivity attenuation parameters, response delay parameters, and recovery time parameters; and output stability detection of the gas sensor to obtain baseline noise parameters and signal stability parameters.

[0034] As an example, taking baseline signal detection, the zero-point drift parameter and baseline offset parameter can be determined by comparing the current baseline output with the historical reference baseline output. For instance, the preprocessed detection signal within a preset stabilization time window can be denoted as... Then the current baseline output It can be represented as:

[0035] The initial calibration baseline, the last valid calibration baseline, or the historical stable baseline of the sensor are recorded as follows: Then the zero-point drift parameter It can be represented as:

[0036] Baseline offset parameters It can be represented as:

[0037] in, This indicates the signal amplitude corresponding to the full scale of the sensor. When or If the baseline offset exceeds the preset allowable range, it is determined that the sensor has a baseline offset or zero drift.

[0038] As an example, taking response characteristic detection, parameters such as output rise rate, time required to reach a stable value, and decay pattern during the recovery phase can be extracted to determine sensitivity decay parameters, response delay parameters, and recovery time parameters. For instance, the current response time, recovery time, or response slope can be compared with the corresponding historical reference value. When the difference or relative rate of change exceeds a preset response characteristic threshold, it is determined that the sensor has response hysteresis or sensitivity decay, and at least one of the sensitivity decay parameter, response delay parameter, and recovery time parameter is obtained.

[0039] As an example, baseline noise parameters and signal stability parameters can be obtained by calculating the distribution characteristics of the noise amplitude, mean square fluctuation value, sliding window standard deviation, or output difference between adjacent time points of the gas detection signal.

[0040] In some embodiments, a triggering strategy can be preset, and in-situ self-calibration and subsequent processes are executed whenever the triggering strategy is met.

[0041] In the embodiments of this application, the triggering strategy may include, but is not limited to, timed triggering, conditional triggering, and abnormal triggering.

[0042] As an example, taking timed triggering as an example, when the gas sensor runs continuously for a preset calibration cycle, it automatically performs in-situ self-calibration and subsequent steps.

[0043] It should be noted that the preset calibration cycle can be set according to the gas sensor type, cumulative runtime, cumulative exposure time, historical drift level, and on-site mine conditions. For example, a basic cycle can be determined based on the inherent stability of different types of gas sensors, and then the cycle can be gradually shortened by increasing the cumulative runtime and cumulative exposure time of the sensor. For sensors with large historical drift levels, the calibration interval can be further reduced. At the same time, the calibration cycle can be matched to the actual on-site mine conditions. Under harsh conditions such as high dust concentration, large temperature and humidity fluctuations, and strong vibration disturbances, the calibration cycle can be shortened, while the calibration cycle can be appropriately extended when the conditions are stable.

[0044] As an example, taking conditional triggering, when the monitoring environment where the gas sensor is located enters a pre-set stable operating condition, in-situ self-calibration and subsequent steps are performed. Specifically, a stable operating condition is determined when the fluctuation amplitude of the detection signal within a preset time window is lower than a first threshold, the wind speed change amplitude is lower than a second threshold, and the temperature and humidity are within preset fluctuation ranges. The first threshold can be any one of the following: the maximum fluctuation amplitude threshold, the standard deviation threshold, or the adjacent sampling difference threshold of the gas detection signal within the preset time window; the second threshold can be the maximum change amplitude threshold or the standard deviation threshold of the wind speed within the same time window, and the fluctuation range can be determined based on the sensor range, detection accuracy requirements, and historical field data.

[0045] As an example, taking abnormal triggering as an example, when the gas detection signal exhibits abnormal jitter, frequent spike changes within a short period, long-term deviation from the historical baseline, or local flow field parameters recover after abnormal disturbances, in-situ self-calibration and subsequent steps are performed. Specifically, if the standard deviation of the gas detection signal within a preset time window exceeds a preset multiple of the historical stable standard deviation, abnormal jitter can be determined; if the difference between a single-point detection signal and the median or average value within the sliding window exceeds a preset spike threshold, spike changes can be determined; if the difference between the mean of the detection signal and the historical reference baseline consistently exceeds a preset baseline offset allowable range, the signal can be determined to have deviated from the historical baseline for a long period.

[0046] S3. Obtain the flow field compensation coefficient based on local flow field parameters.

[0047] In one implementation, the flow field compensation coefficient is obtained based on local flow field parameters, including: for each local flow field parameter, obtaining the corresponding compensation factor based on the local flow field parameter; and obtaining the flow field compensation coefficient based on the compensation factor corresponding to each local flow field parameter.

[0048] For example, individual compensation factors can be calculated based on wind speed, wind direction, temperature, humidity, and attitude parameters, and then the individual compensation factors can be weighted and combined according to preset weights to obtain the flow field compensation coefficient.

[0049] As an example, a lookup table method, an empirical model method, a linear combination model method, or an adaptive update model method can be used to obtain the corresponding compensation factor based on the local flow field parameters. For instance, the wind speed at the monitoring location can be divided into multiple intervals, and a correspondence between different wind speed intervals and preset compensation factors can be established in advance. When the current wind speed is detected to fall into a certain target interval, the preset compensation factor corresponding to that target interval is called as the aforementioned compensation factor.

[0050] S4. Analyze the deviation of the state parameters to obtain the state compensation coefficient.

[0051] For example, the various state parameters are compared with the preset standard reference parameters to obtain the actual deviation of the parameters; then, the state compensation coefficient is obtained by combining the preset compensation correction rules.

[0052] As an example, when the zero-point drift parameter increases, the baseline deviation in the original concentration value is subtracted; when the sensitivity attenuation parameter increases, the slope compensation in the concentration conversion is increased; when the response delay parameter increases, dynamic hysteresis correction is introduced for the detection results in the rapid change phase.

[0053] It should be noted that the above compensation method is only an example. In practical applications, other equivalent state modeling methods can also be used, as long as the detection results can be corrected according to the state parameters.

[0054] S5. Correct the gas concentration detection value based on the flow field compensation coefficient to obtain the first concentration correction value.

[0055] As an example, the above process can be represented as follows:

[0056] in, This is the first concentration correction value. This is the flow field compensation coefficient. This represents the gas concentration detection value.

[0057] In this application, the deviations in the detection results caused by local airflow changes, enhanced turbulence, attitude changes, vibration disturbances, and environmental fluctuations can be corrected by the flow field compensation coefficient.

[0058] S6. Correct the first concentration correction value based on the state compensation coefficient to obtain the final concentration correction value.

[0059] In one implementation, the state compensation coefficient includes a state compensation factor and a state compensation value. The first concentration correction value is corrected based on the state compensation coefficient to obtain the final concentration correction value, including: The first concentration correction value is corrected based on the state compensation coefficient to obtain the second concentration correction value; The second concentration correction value is compensated based on the state compensation value to obtain the final concentration correction value.

[0060] As an example, the above steps can be represented as follows:

[0061] in, Represents the state compensation coefficient. Indicates the state correction item. This indicates the final concentration correction value.

[0062] By implementing the embodiments of this application, local flow field parameters of the corresponding area of ​​the gas sensor and the gas concentration detection value of the sensor itself can be collected simultaneously. Then, the sensor is self-calibrated in situ to obtain state parameters. Subsequently, flow field compensation coefficients and state compensation coefficients are obtained based on the deviation of the local flow field parameters and state parameters, respectively. Finally, the original gas concentration detection value is corrected to the final concentration correction value using the flow field compensation coefficients and the state compensation coefficients. This scheme can eliminate environmental flow field factors through the flow field compensation coefficient and eliminate detection deviations caused by sensor performance degradation factors such as zero-point drift, sensitivity attenuation, and response hysteresis through the state compensation coefficient, thereby improving the accuracy of gas concentration detection.

[0063] In some embodiments, when the final concentration correction value is greater than or equal to a preset concentration threshold, the above method may further include the following steps: A1. Determine whether the status parameters are within the preset parameter range.

[0064] A2. Determine whether there is a local flow field anomaly based on local flow field parameters.

[0065] For example, the change in local flow field parameters is compared with the corresponding parameter threshold. If the change is greater than or equal to the parameter threshold, it is determined that there is a local flow field anomaly.

[0066] As an example, if the wind speed change is greater than a preset change threshold, or the wind direction deflection angle is greater than a preset angle threshold, or the vibration parameter exceeds a preset vibration threshold within a short period of time, it is determined that there is a local flow field anomaly in the current monitoring environment.

[0067] A3. Obtain the first concentration correction value sequence corresponding to the gas sensor, and the second concentration correction value sequence of the location adjacent to the gas sensor.

[0068] For example, the concentration correction value sequence for the current monitoring location over the previous several sampling times is obtained, and the concentration correction value sequence for at least one adjacent monitoring location within the same time window is obtained. The first concentration correction value sequence includes the final concentration correction value.

[0069] A4. Based on the sequence difference between the first concentration correction value sequence and the second concentration correction value sequence, determine whether the spatiotemporal consistency condition is met.

[0070] For example, if the abnormal changes in the first concentration correction value sequence are correlated with the changes in the second concentration correction value sequence, and their trends are consistent, then the spatiotemporal consistency condition is satisfied; if the trends of the first and second concentration correction value sequences are inconsistent, then the spatiotemporal consistency condition is not satisfied. Specifically, if the concentration changes in the first and second concentration correction value sequences match in terms of timing, trends, and amplitude, then a correlation can be determined.

[0071] In other embodiments, the historical concentration correction value sequence of the gas sensor at multiple historical moments and the concentration correction value sequence of adjacent monitoring locations within the same time window can be obtained first. Then, the changing trends, amplitude coupling relationships and temporal order of the two sets of sequences are compared and analyzed. At the same time, the concentration change at the current point is correlated and compared with its own historical change trend. If the abnormal concentration change at the current point matches the changes at adjacent points in terms of timing, rising and falling trends and fluctuation amplitude, which is consistent with the downhole gas diffusion and propagation law and consistent with the historical evolution trend of this point, it is determined that the spatiotemporal consistency condition is met. Otherwise, it is not met.

[0072] A5. When the state parameters are within the parameter range, there are no local flow field anomalies, and the spatiotemporal consistency condition is met, the final concentration correction value is determined to be the true exceedance.

[0073] In other embodiments, if the state parameters exceed the preset concentration threshold when the concentration correction value exceeds the preset normal range, or if there is a local flow field anomaly, or if the spatiotemporal consistency condition is not met, it is determined to be a suspected false exceedance, and the final concentration correction value is then reviewed. For example, a review prompt message can be output to remind maintenance personnel to perform a second confirmation, or the review can be performed by the set monitoring system.

[0074] In this embodiment, by combining multiple conditions for judgment, it can be determined whether the final concentration correction value is a true exceedance, and a secondary confirmation is performed when the final concentration correction value is determined to be a false exceedance. This can significantly reduce the probability of false alarms caused by sensor performance degradation or instantaneous environmental disturbances, while improving the accuracy of identifying real hazardous events.

[0075] In some embodiments, the above method may further include the following steps: B1. Obtain performance degradation indicators based on state parameters.

[0076] As an example, the calculation process for the performance degradation metric can be represented as follows:

[0077] in, As a performance degradation indicator, For zero-point drift parameters, These are the limits corresponding to the zero-point drift parameters. This is the sensitivity attenuation parameter. These are the limits corresponding to the sensitivity time parameter. For response delay parameters, The limit corresponding to the response delay parameter, Baseline noise parameters, These are the limits corresponding to the baseline noise parameters. , , and Let be the weight coefficients corresponding to each state parameter, and satisfy . + + + =1.

[0078] B2. Obtain the target position of the performance degradation index in the pre-established performance degradation curve.

[0079] The performance degradation curve was established based on the changing trends of the historical state parameters of the gas sensor and historical operating data.

[0080] For example, the zero-point drift parameters, sensitivity attenuation parameters, response delay parameters, and baseline noise parameters obtained from the in-situ self-calibration of the gas sensor are first selected as performance degradation characterization parameters. Then, historical operating data such as the sensor's cumulative running time, cumulative exposure time, over-limit working time, historical calibration records, and historical detection signals are collected. Next, corresponding weight coefficients are assigned to each state parameter, and their respective allowable limits are set. Based on the weights, measured parameter values, and allowable limits, a comprehensive degradation index that can quantify the degree of sensor degradation is constructed. Finally, with time as the horizontal axis and the comprehensive degradation index values ​​calculated at different times as the vertical axis, the data points of each index are sequentially fitted and connected to obtain the performance degradation curve.

[0081] B3. Determine the remaining usable lifespan of the gas sensor based on the target location.

[0082] For example, by combining the degradation trend of the performance degradation curve, the historical degradation rate and the preset failure threshold, the remaining time from the current target position to the indicator reaching the failure threshold can be calculated, thereby determining the remaining usable life of the gas sensor.

[0083] In some embodiments, the sensor can be further classified into lifespan levels such as normal, attention, warning, and replacement based on the correspondence between the remaining usable lifespan value and a preset lifespan range. When the predicted remaining lifespan is lower than the preset lifespan threshold, maintenance warning information or replacement recommendation information is output.

[0084] The following section provides a further introduction to the mine gas detection concentration correction method based on in-situ self-calibration provided in this application, using specific examples.

[0085] As an example, please see Figure 2 , Figure 2 This is a schematic diagram illustrating a process for correcting mine gas detection concentration and determining the authenticity of exceeding limits based on in-situ self-calibration, as provided in an embodiment of this application. Figure 2 As shown, a gas sensor can be deployed at a fixed monitoring location in the mine to continuously collect detection signals and parameters such as wind speed, wind direction, temperature, and humidity at a preset sampling period. When the gas sensor's operating condition remains stable for a continuous period, an in-situ self-calibration process is triggered to acquire the zero-point drift parameters, sensitivity attenuation parameters, and baseline noise parameters of the gas sensor, as well as the wind speed, wind direction, and humidity at the sensor's location. Subsequently, a flow field compensation coefficient is determined based on the current wind speed, wind direction, and humidity conditions, and a state compensation coefficient is determined based on the zero-point drift parameters and sensitivity attenuation parameters. The original concentration value is then progressively corrected to obtain a concentration correction value. When the concentration correction value exceeds a preset concentration threshold, the changes in concentration correction values ​​at adjacent monitoring points within the corresponding time window are further acquired and comprehensively analyzed in conjunction with the current state parameters and local flow field state of the gas sensor's location. If the analysis results indicate that the abnormal concentration correction value exceeding the limit has a reasonable propagation relationship and the sensor is in normal condition, a true over-limit alarm message is output. If the analysis results indicate that the concentration correction value exceeds the limit due to a lack of adjacent support points or an abnormal sensor status, a suspected false exceedance warning message will be output. Simultaneously, the sensor's remaining lifespan prediction can be updated based on the current status parameter change trend and historical operation records, and a maintenance warning message will be output when the remaining lifespan approaches a preset threshold.

[0086] Please see Figure 3 , Figure 3 This is a schematic diagram of a mine gas detection concentration correction device based on in-situ self-calibration, provided in an embodiment of this application. Figure 3 As shown, the device 300 includes: an acquisition module 301, used to acquire local flow field parameters of the area corresponding to the gas sensor, and the gas concentration detection value detected by the gas sensor; a first processing module 302, used to perform in-situ self-calibration of the gas sensor to obtain state parameters; a second processing module 303, used to acquire a flow field compensation coefficient based on the local flow field parameters; a third processing module 304, used to analyze the deviation of the state parameters to obtain a state compensation coefficient; a fourth processing module 305, used to correct the gas concentration detection value based on the flow field compensation coefficient to obtain a first concentration correction value; and a fifth processing module 306, used to correct the first concentration correction value based on the state compensation coefficient to obtain a final concentration correction value.

[0087] In one implementation, the first processing module 302 is configured to perform at least one of the following: perform baseline signal detection on the gas sensor to obtain zero-point drift parameters and baseline offset parameters; perform response characteristic detection on the gas sensor to obtain sensitivity attenuation parameters, response delay parameters and recovery time parameters; and perform output stability detection on the gas sensor to obtain baseline noise parameters and signal stability parameters.

[0088] In one alternative implementation, the second processing module 303 can be used to: for each local flow field parameter, obtain the corresponding compensation factor based on the local flow field parameter; and obtain the flow field compensation coefficient based on the compensation factor corresponding to each local flow field parameter.

[0089] In one implementation, the state compensation coefficient includes a state compensation factor and a state compensation value. The fifth processing module 306 can be used to: correct the first concentration correction value based on the state compensation coefficient to obtain a second concentration correction value; and compensate the second concentration correction value based on the state compensation value to obtain a final concentration correction value.

[0090] In one implementation, the above-described apparatus further includes a sixth processing module. As an example, please refer to... Figure 4 , Figure 4 This is a schematic diagram of another mine gas detection concentration correction device based on in-situ self-calibration provided in an embodiment of this application. Figure 4 As shown, the device 400 further includes a sixth processing module 407: used to perform the following steps when the final concentration correction value is greater than or equal to a preset concentration threshold: determining whether the state parameters are within a preset parameter range; determining whether there is a local flow field anomaly based on the local flow field parameters; acquiring a first concentration correction value sequence corresponding to the gas sensor, and a second concentration correction value sequence adjacent to the location of the gas sensor; determining whether the spatiotemporal consistency condition is met based on the sequence difference between the first concentration correction value sequence and the second concentration correction value sequence; and determining that the final concentration correction value is a true exceedance when it is determined that the state parameters are within the parameter range, there is no local flow field anomaly, and the spatiotemporal consistency condition is met. Figure 4 Modules 401-406 in Figure 3 Modules 301-306 in the series have the same structure and function.

[0091] In one implementation, the above-described apparatus further includes a seventh processing module. As an example, please refer to... Figure 5 , Figure 5 This is a schematic diagram of another mine gas detection concentration correction device based on in-situ self-calibration provided in an embodiment of this application. Figure 5As shown, the device 500 further includes a seventh processing module 507: used for: obtaining performance degradation indicators based on state parameters; obtaining the target position of the performance degradation indicators in a pre-established performance degradation curve; the performance degradation curve is established based on the historical state parameter change trends and historical operating data of the gas sensor; and determining the remaining usable lifespan of the gas sensor based on the target position. Figure 5 Modules 501-506 in Figure 3 Modules 301-306 in the series have the same structure and function.

[0092] The apparatus of this application embodiment can simultaneously acquire local flow field parameters of the corresponding area of ​​the gas sensor and the gas concentration detection value of the sensor itself. Then, the sensor is self-calibrated in situ to obtain state parameters. Subsequently, flow field compensation coefficients and state compensation coefficients are obtained based on the deviation of the local flow field parameters and state parameters, respectively. Finally, the original gas concentration detection value is corrected to the final concentration correction value using the flow field compensation coefficients and the state compensation coefficients. This scheme can eliminate environmental flow field factors through the flow field compensation coefficient and eliminate detection deviations caused by sensor performance degradation factors such as zero-point drift, sensitivity attenuation, and response hysteresis through the state compensation coefficient, thereby improving the accuracy of gas concentration detection.

[0093] It should be noted that the foregoing explanation of the embodiment of the mine gas detection concentration correction method based on in-situ self-calibration also applies to the mine gas detection concentration correction device based on in-situ self-calibration in this embodiment, and will not be repeated here.

[0094] To implement the above embodiments, this application also proposes an electronic device. Please see [link to relevant documentation]. Figure 6 , Figure 6 This is a schematic diagram of the structure of the electronic device provided in an embodiment of this application. For example... Figure 6 As shown, the electronic device 600 includes: a processor 601, and a memory 602 communicatively connected to the processor 601; the memory 602 stores computer-executable instructions; the processor 601 executes the computer-executable instructions stored in the memory to implement the method provided in the foregoing embodiments.

[0095] To implement the above embodiments, this application also proposes a storage medium storing instructions that, when executed on an electronic device, cause the electronic device to perform the methods provided in the foregoing embodiments.

[0096] To implement the above embodiments, this application also proposes a program product, including at least one of a program and instructions, wherein when the program and instructions are executed by an electronic device, they implement the steps of the method provided in the foregoing embodiments.

[0097] It should be noted that the acquisition, transmission, storage, use, and processing of data in this application comply with the relevant provisions of national laws and regulations and do not violate public order and good morals.

[0098] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, data stored, data displayed, etc.) and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0099] It is worth noting that in the embodiments of this application, certain software, components, models and other existing solutions in the industry may be mentioned. These should be regarded as exemplary and are only intended to illustrate the feasibility of implementing the technical solution of this application. However, they do not mean that the applicant has used or necessarily used the solution.

[0100] In the description of this application, unless otherwise stated, " / " means "or", for example, A / B can mean A or B; "and / or" in this document is merely a description of the relationship between related objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone.

[0101] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0102] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0103] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0104] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0105] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0106] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0107] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0108] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for correcting mine gas detection concentration based on in-situ self-calibration, characterized in that, include: The local flow field parameters of the area corresponding to the gas sensor and the gas concentration detection value detected by the gas sensor are obtained. The gas sensor is self-calibrated in situ to obtain state parameters; The flow field compensation coefficient is obtained based on the local flow field parameters; The deviation of the state parameters is analyzed to obtain the state compensation coefficient; The gas concentration detection value is corrected based on the flow field compensation coefficient to obtain a first concentration correction value; The first concentration correction value is corrected based on the state compensation coefficient to obtain the final concentration correction value.

2. The method according to claim 1, characterized in that, The in-situ self-calibration of the gas sensor to obtain state parameters includes at least one of the following: Baseline signal detection is performed on the gas sensor to obtain zero-point drift parameters and baseline offset parameters; The gas sensor is subjected to response characteristic detection to obtain sensitivity attenuation parameters, response delay parameters, and recovery time parameters. The gas sensor is subjected to output stability testing to obtain baseline noise parameters and signal stability parameters.

3. The method according to claim 2, characterized in that, The process of obtaining the flow field compensation coefficient based on the local flow field parameters includes: For each of the local flow field parameters, a corresponding compensation factor is obtained based on the local flow field parameters; The flow field compensation coefficient is obtained based on the compensation factors corresponding to each of the local flow field parameters.

4. The method according to claim 1, characterized in that, The state compensation coefficient includes a state compensation factor and a state compensation value. The step of correcting the first concentration correction value based on the state compensation coefficient to obtain the final concentration correction value includes: The first concentration correction value is corrected based on the state compensation coefficient to obtain the second concentration correction value; The second concentration correction value is compensated based on the state compensation value to obtain the final concentration correction value.

5. The method according to claim 1, characterized in that, When the final concentration correction value is greater than or equal to a preset concentration threshold, the method further includes: Determine whether the state parameter is within a preset parameter range; Determine whether there is a local flow field anomaly based on the local flow field parameters; Obtain the first concentration correction value sequence corresponding to the gas sensor, and the second concentration correction value sequence of the position adjacent to the gas sensor; Based on the sequence difference between the first concentration correction value sequence and the second concentration correction value sequence, it is determined whether the spatiotemporal consistency condition is met. When it is determined that the state parameters are within the parameter range, there are no local flow field anomalies, and the spatiotemporal consistency condition is met, the final concentration correction value is determined to be a true exceedance.

6. The method according to claim 1, characterized in that, The method further includes: The performance degradation index is obtained based on the state parameters; Obtain the target position of the performance degradation index in a pre-established performance degradation curve; the performance degradation curve is established based on the changing trend of the historical state parameters of the gas sensor and historical operating data; The remaining usable lifetime of the gas sensor is determined based on the target location.

7. A mine gas detection concentration correction device based on in-situ self-calibration, characterized in that, include: The acquisition module is used to acquire the local flow field parameters of the area corresponding to the gas sensor, as well as the gas concentration detection value detected by the gas sensor. The first processing module is used to perform in-situ self-calibration of the gas sensor to obtain state parameters; The second processing module is used to obtain the flow field compensation coefficient based on the local flow field parameters; The third processing module is used to analyze the deviation of the state parameters and obtain the state compensation coefficient. The fourth processing module is used to correct the gas concentration detection value based on the flow field compensation coefficient to obtain a first concentration correction value; The fifth processing module is used to correct the first concentration correction value based on the state compensation coefficient to obtain the final concentration correction value.

8. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1 to 6.

9. A storage medium storing instructions, characterized in that, When the instructions are executed on an electronic device, the electronic device causes the electronic device to perform the method of any one of claims 1 to 6.

10. A program product comprising at least one of a program and instructions, characterized in that, When at least one of the program or instructions is executed by an electronic device, it implements the steps of the method according to any one of claims 1 to 6.

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