Multi-component dangerous gas safety monitoring system for complex industrial environment

Abstract

The application discloses a multi-component dangerous gas safety monitoring system for a complex industrial environment, and mainly relates to the technical field of gas safety monitoring. The traditional monitoring scheme adopts a static point position deployment logic, and the point position arrangement is fixed for a long time after being completed, and cannot adapt to the dynamic change of industrial production processes. In the application, a fixed point position collection and evaluation unit collects core environmental parameters synchronously, quantifies the degree of environmental fluctuation in a floating span, accurately distinguifies three types of working conditions, i.e., normal fluctuation of equipment process, abnormal fluctuation of environmental interference and real gas leakage fluctuation, and reduces false alarms caused by environmental disturbance from the root. A mobile point position collection and access unit collects fluctuation time sequence characteristics based on a fixed interference point position, collects homologous fluctuation tracks in combination with time tolerance, and corrects track deviation caused by single-point abnormal data in the field. A fixed point position collection optimization unit can quickly identify the core reason for point position failure through track overlap comparison.

Description

Technical Field

[0001] This invention relates to the field of gas safety monitoring technology, specifically to a multi-component hazardous gas safety monitoring system for complex industrial environments. Background Technology

[0002] Currently, in complex industrial settings such as coal chemical industry, metallurgy, and oil and gas extraction, explosions and poisoning accidents caused by the leakage and accumulation of multi-component hazardous gases are the core hidden dangers restricting industrial safety production. According to the statistics on safety accidents in the industrial and commercial sectors published by the Ministry of Emergency Management, safety accidents caused by the failure of monitoring of toxic, harmful, flammable and explosive gases, data deviations, and delayed early warnings account for a large proportion of the total number of accidents in the industrial and commercial sectors. The accuracy and stability of industrial gas monitoring directly determine the bottom line of safe production in the factory area.

[0003] Currently, traditional monitoring schemes adopt a static point deployment logic. Once the points are set up, they remain fixed for a long time. This makes it impossible to adapt to changes in operating conditions such as the migration of gas diffusion trajectories and the spread of environmental interference areas caused by dynamic changes in industrial production processes. Fixed points are prone to gradually becoming interference failure points, and the deviation of monitoring data continues to accumulate. Furthermore, the fixed and mobile monitoring modes operate independently of each other, and the timestamps, data timing, and signal references of the two types of monitoring equipment cannot be accurately aligned, resulting in problems such as data gaps, timing misalignments, and inaccurate air mass tracing, making it impossible to achieve continuous monitoring across the entire area.

[0004] To address the aforementioned technical shortcomings, a solution is proposed that aims to achieve dynamic adaptation and accurate identification of monitoring points. By quantifying environmental parameters, comparing temporal overlaps, and accurately classifying interference points, this solution completely resolves the problems of traditional monitoring being susceptible to dust, temperature and humidity interference, data distortion, and frequent false alarms and missed alarms. The reliability of monitoring data and the accuracy of early warning are greatly improved. Summary of the Invention

[0005] The purpose of this invention is to solve the problems mentioned above and to propose a multi-component hazardous gas safety monitoring system for complex industrial environments.

[0006] The objective of this invention can be achieved through the following technical solution: a multi-component hazardous gas safety monitoring system for complex industrial environments, comprising: The fixed-point data acquisition and evaluation unit is used to calibrate fixed points within the monitoring area, collect time-series gas concentration data to generate a numerical fluctuation set, and simultaneously collect industrial environmental parameters at each point. Based on the overlap between the fluctuation time and the environmental fluctuation time, it marks fixed interference points or fixed stable points and generates a distribution map. When the proportion of interference points continues to increase with the monitoring time, it triggers the mobile point acquisition access; otherwise, it performs fixed point acquisition optimization. The mobile point acquisition and access unit is used to add a mobile acquisition point when the mobile point acquisition and access is triggered. It determines the fluctuation trajectory based on the location of the fixed interference point and the time when the fluctuation occurs, collects the gas concentration data of the mobile point according to the trajectory, performs cross-correlation calculation on the mobile data and the fixed data, and corrects the timestamp of the mobile sensor according to the cross-correlation result to align with the time axis of the fixed sensor to form a continuous data stream. The fixed-point acquisition and optimization unit is used to extract the generation trajectory of fixed interference points and the disappearance trajectory of fixed stable points when no mobile point acquisition access is triggered. If the two trajectories overlap, it is determined that the environmental interference is spreading. The interference points are divided into completed interference points and points to be interfered with. The completed interference points are controlled by industrial environmental parameters, and the gas flow state of the points to be interfered with is changed by a blower until the interference stops.

[0007] Furthermore, the gas concentration time series data includes a fixed time series data set collected and constructed according to a preset sampling period, and the numerical fluctuation set is generated based on the time point when the concentration difference between adjacent times in the set exceeds a threshold.

[0008] Furthermore, the industrial environmental parameters include dust concentration and the degree of fluctuation in temperature and humidity, with the degree of fluctuation being evaluated by the range of repeated fluctuations.

[0009] Furthermore, the specific details for marking fixed interference points or fixed stable points are as follows: if the time point of gas concentration fluctuation overlaps with the time point of environmental fluctuation corresponding to the industrial environmental parameter exceeding the set threshold, it is marked as a fixed interference point; otherwise, it is marked as a fixed stable point.

[0010] Furthermore, the condition for triggering mobile point data acquisition and access is that the proportion of fixed interference points to the total number of fixed points continues to increase during the continuous monitoring period.

[0011] Furthermore, the fluctuation trajectory is determined as follows: spatial connections are made according to the chronological order of the fluctuation times at each fixed interference point. If the time difference between the fluctuations at multiple points is less than the tolerance, they are grouped into the same trajectory branch.

[0012] Furthermore, the cross-correlation operation is as follows: calculate the normalized cross-correlation function of the fixed data sequence and the moving data sequence under the time-shift variable, search for the optimal time delay that maximizes the function, discard the current data if the maximum correlation coefficient is less than a preset threshold, otherwise map the moving sensor data to the fixed sensor time axis for correction based on the optimal time delay.

[0013] Furthermore, the correction specifically involves adjusting the timestamps of the mobile sensor data according to the optimal time delay, so that the readings of the same air mass on the fixed sensor and the mobile sensor correspond to the same physical time.

[0014] Furthermore, the spread of environmental interference is determined as follows: if the trajectory of the generation of a fixed interference point overlaps with the trajectory of the disappearance of a fixed stable point in terms of both spatial location and temporal sequence, then it is confirmed that the environmental interference is spreading.

[0015] Furthermore, the controlled objects include dust concentration and the degree of temperature and humidity fluctuation. The blower changes the gas flow state by adjusting the wind speed to change the gas flow direction or reduce the flow speed. After the controlled objects of the interference point are reduced to the set range, the interference point is included in the unified control.

[0016] Compared with the prior art, the beneficial effects of the present invention are: By simultaneously collecting time-series data on gas concentration changes and core environmental parameters such as dust, temperature, and humidity, the system measures the severity of environmental fluctuations using floating ranges. This allows for precise differentiation between three types of operating conditions: normal fluctuations in equipment processes, abnormal fluctuations due to environmental interference, and fluctuations caused by actual gas leaks. This fundamentally reduces false alarms and missed alarms caused by environmental disturbances. Furthermore, based on the time-series overlap comparison results of all monitoring points, the system classifies and calibrates interfering and stable points, forming regional interference distribution characteristics. This directly reflects the spread and changing trends of environmental interference, providing accurate and effective on-site data for subsequent monitoring mode switching and point optimization. Based on the dynamic judgment method of changing interference point proportions, the system can automatically adapt to fixed or mobile monitoring strategies according to changes in on-site operating conditions. This ensures uninterrupted monitoring in industrial settings while reasonably controlling equipment operation and maintenance and monitoring energy consumption, meeting the actual needs of long-term continuous production in industrial sites.

[0017] Based on the fluctuation time-series characteristics of fixed interference points, and combined with time tolerance, the same-source fluctuation trajectory is collected to correct the trajectory deviation caused by single-point abnormal data, ensuring that the gas diffusion trajectory restoration closely matches the actual on-site working conditions. By introducing a normalized cross-correlation algorithm to decentralize and normalize the monitoring signal, data interference caused by sensor hardware differences and static DC bias is eliminated. Combined with a time-shift search range adapted to industrial scenarios and a parabolic interpolation fine calibration method, millisecond-level time alignment of data from different monitoring devices is achieved. By setting a same-source gas mass discrimination threshold calibrated on-site, irrelevant interference data is eliminated, and only valid monitoring data is retained to complete the time-series correction and data completion, filling the monitoring blind spots of fixed points. This achieves an effective combination of fixed-point precise monitoring and full-area dynamic scanning, improving the real-time performance and accuracy of hazardous gas monitoring under complex airflow conditions.

[0018] The fixed-point acquisition optimization unit can quickly identify the core causes of point failures through trajectory overlap comparison, accurately eliminate interference from equipment hardware failures, focus on monitoring failures caused by the spread of environmental interference, and classify failed interference points into high-risk points to be interfered with based on the degree of interference development. It establishes a hierarchical on-site prevention and control mechanism, which is different from the traditional simple data correction method. It actively changes the on-site gas flow trajectory and controls the airflow speed through blower airflow control, suppressing the spread of interference from the working environment level. Combined with the gradient adjustment of equipment operating parameters according to the on-site interference reduction progress, it completes the prevention and control rectification of risk points step by step, gradually increases the proportion of stable points in the area, and terminates the chain spread effect of environmental interference. This mechanism can realize the autonomous repair and working condition adaptation of the monitoring system, so as to solve the problem of deviation accumulation and performance degradation after long-term operation of fixed points, and ensure the long-term stable operation of industrial on-site gas monitoring systems. Attached Figure Description

[0019] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0020] Figure 1 This is a system principle block diagram of the present invention; Figure 2 This is a flowchart of the method for the fixed-point data acquisition and evaluation unit in this invention. Detailed Implementation

[0021] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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.

[0022] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0023] In scenarios such as petrochemical industrial parks, underground coal mine tunnels, and hazardous chemical storage areas, multiple toxic, harmful, flammable, and explosive gases coexist, placing extremely high demands on continuous monitoring. Current technological systems primarily rely on fixed sensor arrays for continuous monitoring, supplemented by mobile inspection devices equipped with high-precision detectors for periodic data collection. Please refer to [link to relevant documentation]. Figures 1-2As shown, a multi-component hazardous gas safety monitoring system for complex industrial environments includes: The fixed-point data acquisition and evaluation unit is used to evaluate the fixed-point data acquisition method in a complex industrial environment, thereby inferring whether the current fixed-point data acquisition method is suitable for the current stage. The industrial environmental monitoring area is determined, and fixed points within the area are marked. Based on the sensors set at each fixed point, time-series data of gas concentration are collected, and a fixed time-series data set is constructed at each time point. The gas concentration fluctuations within the current monitoring period are obtained based on a fixed time series data set, and a set of numerical fluctuations is established. The set of numerical fluctuations is accompanied by the fixed time series data set, i.e., the timestamps are consistent. Environmental data is collected at fixed locations. As industrial processing continues, the industrial environmental parameters at each fixed location are continuously recorded. Specifically, the industrial environmental parameters include the dust concentration and the degree of fluctuation in temperature and humidity at the location. It should be noted that the degree of fluctuation can be evaluated by the range of back-and-forth fluctuations. When any value of an industrial environmental parameter exceeds the set threshold, the time point corresponding to the current location is marked as an environmental fluctuation moment; conversely, when no value of an industrial environmental parameter exceeds the set threshold, the time point corresponding to the current location is marked as an environmental stability moment. It should be explained that the set threshold corresponds to the dust concentration threshold and the fluctuation span threshold corresponding to the degree of fluctuation. The numerical fluctuation set extracts the fluctuation time points. If the fluctuation time point overlaps with the environmental fluctuation time point, the corresponding fixed point is marked as a fixed interference point. If the fluctuation time point does not overlap with the environmental fluctuation time point, the corresponding fixed point is marked as a fixed stable point. Combined with the distribution of fixed points in the monitoring area, the distribution map of fixed interference points and fixed stable points is determined. If the proportion of fixed interference points within the fixed point distribution area continues to increase during the monitoring time point increase phase, then mobile point data acquisition and access will be performed. If the proportion of fixed interference points within the fixed point distribution area does not continue to increase, then gas concentration source tracing detection will be performed in the current area, and fixed point data acquisition optimization will be performed. The mobile point acquisition and access unit adds mobile acquisition points on the basis of fixed point acquisition when determining to perform mobile point acquisition and access in the monitoring area; Based on the distribution of fixed points, the locations of fixed interference points are identified, and the time of fluctuation within the numerical fluctuation set is recorded. The fluctuation trajectory is established based on the time of fluctuation, and spatial connections are made according to the chronological order of the fluctuation times of each fixed interference point. If the time difference of fluctuations of multiple points is less than the tolerance, they are grouped into the same trajectory branch. It should be noted that if the time of fluctuation is not on the same trajectory as the corresponding point, the trajectory is established based on the general trend of the overall distribution of points. Gas concentration data is collected at the moving points according to the established fluctuation trajectory, and a moving time-series data set is established based on the sensor electrical signals, labeled S. m (t), synchronize the sensor electrical signals corresponding to the fixed time-series data set in the current stage, and set the label S. f (t), sampling period T s =0.1s; Take the most recent N=600 (60-second data window) and calculate the normalized cross-correlation function: ; R fm (τ) is the normalized cross-correlation function; physical definition: at a time offset of τ seconds, the fixed sensor sequence S and the moving sensor sequence S m The waveform similarity between the two signals has a range of [-1, 1]. The closer the value is to 1, the more consistent the two signals are in shape (i.e., capturing the same physical air mass). The closer the value is to 0, the more unrelated they are. Function: This function is the core quantitative indicator for determining whether two sensors "see" the same air mass.

[0024] τ is: time shift variable (time offset); physical definition: in cross-correlation operation, the variable that shifts the fixed sensor sequence forward or backward on the time axis relative to the moving sensor sequence, unit: seconds (s), search range: in this embodiment, τ∈[-5s,+5s] is limited, based on the fact that the installation distance between the fixed sensor and the moving sensor is usually 2~8 meters, and the wind speed in industrial sites is generally 0.3~2m / s, so the arrival time difference of the air mass rarely exceeds ±5 seconds.

[0025] For: the arithmetic mean of the fixed sensor sequence within a window; physical definition: within the current 60-second sliding window, fix all sensor sampling points S. f (1) to S f The mean of (N) is used to "decenter" the original signal, eliminating the interference of the static DC bias difference between the two sensors on the correlation calculation. Unit: s f Same (mV or μA).

[0026] For: the in-window arithmetic mean of the moving sensor sequence; physical definition: and Correspondingly, this represents the average value of the motion sensor within the current window, also used to eliminate DC bias, with units of S. m Same (mV or μA).

[0027] For: the standard deviation within a window of the fixed sensor sequence (energy normalization factor); physical definition: the square root of the sum of the squares of all decentered signals of the fixed sensors within the window, essentially the square root of the "total energy" of that signal segment. Its function is to serve as the normalization denominator, compressing the amplitude of the cross-correlation result to the [-1,1] interval, so that the correlation coefficient is not distorted due to the difference in the absolute amplitude of the two sensor signals. Unit: same as the signal amplitude (mV or μA).

[0028] Let be the standard deviation within the window of the moving sensor sequence (energy normalization factor). Physical definition: Similarly, is the square root of the "total energy" of the moving sensor signal. Multiplying the two together forms the complete normalized denominator, ensuring that the cross-correlation result only reflects the similarity of waveform shape and is independent of the absolute magnitude of the signal.

[0029] search ; For: Optimal fine delay (optimal time offset); Physical definition: Within the specified search range [-5s, +5s], the cross-correlation function R is optimized. fm (τ) is the time shift τ that reaches its maximum value, which physically represents the actual time it takes for the same air mass to travel from the fixed sensor to the moving sensor (or vice versa).

[0030] Solution method: This embodiment uses parabolic interpolation to perform sub-sampling level fine search on discrete peak values, and the final output value accuracy can reach the millisecond level, unit: second (s).

[0031] like If <0.80, it is judged as a "non-homogeneous air mass", and the data is discarded without calibration. If ≥ 0.80, then the time alignment point is corrected to t. align =t 固定 -τ ∗ ·Ts; t 固定 --Fix the physical timestamp of the current sensor reading; Physical definition: Fix the current sampled value S output by the sensor. f The system clock records the actual absolute time (such as GPS time or NTP synchronization time), in seconds (s), with the system startup time or standard UTC time as the zero point.

[0032] t align --Corrected time alignment point (calibration time); Physical definition: Mapping the high-precision true value of the moving sensor to the correct corresponding physical time on the time axis of the fixed sensor; Physical meaning: Since the signal read by the fixed sensor at a fixed time t actually originates from τ ∗The air mass that arrived at the fixed probe position ·Ts seconds ago, therefore the true value of this air mass measured by the moving sensor should be assigned to the fixed sensor at t. align The reading at a given time, not the reading at the current time.

[0033] According to t align Correct the truth timestamps of the mobile sensors to ensure that the time interval between the mobile and fixed points is shortened, so as to form a continuous data stream; The fixed-point acquisition optimization unit is used to optimize fixed-point acquisition when mobile acquisition is not available, so as to reduce the impact of data deviation from fixed interference points. Based on the current monitoring area, determine the distribution of fixed interference points and extract the generation trajectory of fixed interference points. At the same time, extract the disappearance trajectory of points based on the distribution changes of fixed stable points. Based on the comparison of the generated trajectory and the disappeared trajectory, the influence of sensor failure is ruled out. That is, if the generated trajectory and the disappeared trajectory overlap, it indicates that the environmental interference in the current monitoring area is gradually spreading. The gas change trajectory is determined based on the spread trajectory and divided into completed interference points and points to be interfered with. Fixed point data collection and optimization are carried out, and the completed interference points and points to be interfered with are used for optimization decision communication. That is, the fluctuating industrial environmental parameters in the current interference point distribution area are used as the control object. Numerical control of the controlled object is applied to the completed interference points, and the gas trajectory of the points to be interfered with is changed simultaneously. This is achieved by changing the gas flow trajectory or reducing the flow speed through the blower. When the controlled object corresponding to the completed interference point is brought down to the set range, the points to be interfered with are controlled by the same type of controlled object. When the blower power is reduced to control the gas flow speed, the change in the current trajectory is reduced. The controlled object is controlled uniformly for both the completed interference points and the points to be interfered with, until the environmental interference gradually stops spreading and the proportion of fixed and stable points continues to increase.

[0034] 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 any specific implementation. 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. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A multi-component hazardous gas safety monitoring system for complex industrial environments, characterized in that, include: The fixed-point data acquisition and evaluation unit is used to calibrate fixed points within the monitoring area, collect time-series gas concentration data to generate a numerical fluctuation set, and simultaneously collect industrial environmental parameters at each point. Based on the overlap between the fluctuation time and the environmental fluctuation time, it marks fixed interference points or fixed stable points and generates a distribution map. When the proportion of interference points continues to increase with the monitoring time, it triggers the mobile point acquisition access; otherwise, it performs fixed point acquisition optimization. The mobile point acquisition and access unit is used to add a mobile acquisition point when the mobile point acquisition and access is triggered. It determines the fluctuation trajectory based on the location of the fixed interference point and the time when the fluctuation occurs, collects the gas concentration data of the mobile point according to the trajectory, performs cross-correlation calculation on the mobile data and the fixed data, and corrects the timestamp of the mobile sensor according to the cross-correlation result to align with the time axis of the fixed sensor to form a continuous data stream. The fixed-point acquisition and optimization unit is used to extract the generation trajectory of fixed interference points and the disappearance trajectory of fixed stable points when no mobile point acquisition access is triggered. If the two trajectories overlap, it is determined that the environmental interference is spreading. The interference points are divided into completed interference points and points to be interfered with. The completed interference points are controlled by industrial environmental parameters, and the gas flow state of the points to be interfered with is changed by a blower until the interference stops.

2. The multi-component hazardous gas safety monitoring system for complex industrial environments according to claim 1, characterized in that, The gas concentration time series data includes a fixed time series data set collected and constructed according to a preset sampling period, and the numerical fluctuation set is generated based on the time point when the concentration difference between adjacent time points in the set exceeds a threshold.

3. The multi-component hazardous gas safety monitoring system for complex industrial environments according to claim 1, characterized in that, Industrial environmental parameters include dust concentration and the degree of fluctuation in temperature and humidity, with the degree of fluctuation being evaluated by the range of repeated fluctuations.

4. The multi-component hazardous gas safety monitoring system for complex industrial environments according to claim 1, characterized in that, The specific details for marking fixed interference points or fixed stable points are as follows: If the time point of gas concentration fluctuation overlaps with the time point of environmental fluctuation corresponding to the industrial environmental parameter exceeding the set threshold, it is marked as a fixed interference point; otherwise, it is marked as a fixed stable point.

5. The multi-component hazardous gas safety monitoring system for complex industrial environments according to claim 1, characterized in that, The condition for triggering mobile point data acquisition is: during the continuous monitoring period, the proportion of fixed interference points to the total number of fixed points continues to increase.

6. The multi-component hazardous gas safety monitoring system for complex industrial environments according to claim 1, characterized in that, The fluctuation trajectory is determined by spatially connecting the points according to the chronological order of the fluctuations at each fixed interference point. If the time difference between the fluctuations at multiple points is less than the tolerance, they are grouped into the same trajectory branch.

7. The multi-component hazardous gas safety monitoring system for complex industrial environments according to claim 1, characterized in that, The cross-correlation operation is as follows: calculate the normalized cross-correlation function of the fixed data sequence and the moving data sequence under the time-shift variable, search for the optimal time delay that maximizes the function, discard the data if the maximum correlation coefficient is less than the preset threshold, otherwise map the moving sensor data to the fixed sensor time axis for correction based on the optimal time delay.

8. The multi-component hazardous gas safety monitoring system for complex industrial environments according to claim 1, characterized in that, The correction is as follows: adjust the timestamp of the mobile sensor data according to the optimal time delay so that the readings of the same air mass on the fixed sensor and the mobile sensor correspond to the same physical time.

9. The multi-component hazardous gas safety monitoring system for complex industrial environments according to claim 1, characterized in that, The spread of environmental interference is determined as follows: if the trajectory of the generation of a fixed interference point overlaps with the trajectory of the disappearance of a fixed stable point in terms of both spatial location and temporal sequence, then the environmental interference is confirmed to be spreading.

10. The multi-component hazardous gas safety monitoring system for complex industrial environments according to claim 1, characterized in that, The controlled objects include dust concentration and the degree of temperature and humidity fluctuation. The blower changes the gas flow state by adjusting the wind speed to change the gas flow direction or reduce the flow speed. After the controlled objects of the interference points are reduced to the set range, the interference points are included in the unified control.

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