Safety monitoring method and system for high-purity hydrogen production based on intelligent sensing technology

Abstract

The application discloses a high-purity hydrogen production safety monitoring method based on intelligent sensing technology, which comprises the following steps: obtaining a plurality of hydrogen concentration data and environmental data based on a detector deployed in a high-purity hydrogen production area; obtaining the composition and concentration of interfering gas in the high-purity hydrogen production area, and determining a plurality of interference factors based on the interference degree of the composition and concentration of interfering gas on the plurality of hydrogen sensors; determining a plurality of environmental compensation factors based on the influence degree of the environmental data on the plurality of hydrogen sensors; fusing the plurality of hydrogen concentration data based on the plurality of interference factors and the plurality of environmental compensation factors respectively to obtain a target hydrogen concentration value; and sending an early warning signal and an early warning instruction to a control terminal if the target hydrogen concentration value exceeds a warning threshold. The application reduces the error of a single sensor, can consider the influence of environmental data on hydrogen concentration and correct it, and improves the accuracy of hydrogen concentration detection.

Description

Technical Field

[0001] This invention relates to the field of information technology, and in particular to a method and system for safety monitoring of high-purity hydrogen production based on intelligent sensing technology. Background Technology

[0002] In the high-purity hydrogen production environment, multiple interfering factors coexist, severely affecting the accuracy of hydrogen concentration monitoring. Because many interfering gases share similar properties with hydrogen, existing sensors struggle to effectively distinguish them, leading to frequent cross-reactions and resulting in false alarms and missed detections. For example, in a high-purity hydrogen production workshop within a chemical industrial park, gases such as carbon monoxide and methane may be present, interfering with the sensor's detection of hydrogen. Simultaneously, significant fluctuations in ambient temperature and humidity also significantly impact sensor performance. High humidity can cause a water vapor film to form on the sensor surface, hindering contact between hydrogen and the sensitive element; excessively high or low temperatures can alter the physicochemical properties of the sensitive element, leading to inaccurate detection results. Summary of the Invention

[0003] The purpose of this invention is to solve the problems in the prior art, and to propose a method and system for safety monitoring of high-purity hydrogen production based on intelligent sensing technology.

[0004] To achieve the above objectives, the present invention adopts the following technical solution:

[0005] A method for safety monitoring of high-purity hydrogen production based on intelligent sensing technology includes the following steps:

[0006] Based on detectors deployed in the high-purity hydrogen production area, multiple hydrogen concentration data and environmental data are obtained; the multiple hydrogen concentration data are data detected by multiple hydrogen sensors; the multiple hydrogen sensors are multiple hydrogen sensors with different working principles.

[0007] The composition and concentration of interfering gases in the high-purity hydrogen production area are obtained, and multiple interference factors are determined based on the degree of interference of the interfering gas composition and concentration to the multiple hydrogen sensors.

[0008] Based on the degree of influence of the environmental data on the multiple hydrogen sensors, multiple environmental compensation factors are determined.

[0009] The target hydrogen concentration value is obtained by fusing the multiple hydrogen concentration data based on the multiple interference factors and the multiple environmental compensation factors respectively.

[0010] If the target hydrogen concentration exceeds the warning threshold, a warning signal and warning command are sent to the control terminal.

[0011] A high-purity hydrogen production safety monitoring system based on intelligent sensing technology includes:

[0012] The acquisition module is used to: obtain multiple hydrogen concentration data and environmental data based on detectors deployed in the high-purity hydrogen production area; the multiple hydrogen concentration data are data detected by multiple hydrogen sensors; the multiple hydrogen sensors are multiple hydrogen sensors with different working principles;

[0013] The first calculation module is used to: obtain the composition and concentration of interfering gases in the high-purity hydrogen production area, and determine multiple interference factors based on the degree of interference of the interfering gas composition and concentration to the multiple hydrogen sensors;

[0014] The second calculation module is used to: determine multiple environmental compensation factors based on the degree of influence of the environmental data on the multiple hydrogen sensors;

[0015] The fusion module is used to: fuse the multiple hydrogen concentration data based on the multiple interference factors and the multiple environmental compensation factors respectively to obtain the target hydrogen concentration value;

[0016] The early warning judgment module is used to send an early warning signal and an early warning command to the control terminal if the target hydrogen concentration value exceeds the early warning threshold.

[0017] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the above-described method for safety monitoring of high-purity hydrogen production based on intelligent sensing technology.

[0018] The present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the above-described method for safety monitoring of high-purity hydrogen production based on intelligent sensing technology.

[0019] Compared with the prior art, the present invention has the following advantages:

[0020] The high-purity hydrogen production safety monitoring method based on intelligent sensing technology provided by this invention uses multiple hydrogen sensors with different principles to detect hydrogen concentration from multiple dimensions. Multiple hydrogen concentrations can be mutually verified to reduce the error of a single sensor, thereby reducing the influence of interfering gases on the sensor detection process. Simultaneously, it combines environmental data monitoring and considers and corrects for the impact of environmental data on hydrogen concentration, thus greatly improving the accuracy of hydrogen concentration detection. This method more accurately reflects the hydrogen concentration status of the production area, enabling more timely prevention of environmental hydrogen concentration exceeding preset thresholds, effectively avoiding safety accidents caused by hydrogen leakage and accumulation, and ensuring production safety. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 This is a flowchart illustrating the safety monitoring method for high-purity hydrogen production based on intelligent sensing technology provided in an embodiment of the present invention.

[0023] Figure 2 This is a schematic diagram of the structure of a high-purity hydrogen production safety monitoring system based on intelligent sensing technology provided in an embodiment of the present invention;

[0024] Figure 3 An embodiment diagram of the electronic device provided in this invention;

[0025] Figure 4 An embodiment diagram of a computer-readable storage medium provided in accordance with the present invention. Detailed Implementation

[0026] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] In the description of this invention, 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 indicated technical features. Thus, features defined as "first" or "second" may explicitly or implicitly include one or more features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0028] In the description of this invention, the term "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed herein.

[0029] See Figure 1 , Figure 1 This is a flowchart illustrating the high-purity hydrogen production safety monitoring method based on intelligent sensing technology provided by the present invention. In this embodiment, the execution entity of the high-purity hydrogen production safety monitoring method based on intelligent sensing technology is the production safety monitoring system. Therefore, the high-purity hydrogen production safety monitoring method based on intelligent sensing technology includes:

[0030] Step 10: Based on the detectors deployed in the high-purity hydrogen production area, multiple hydrogen concentration data and environmental data are obtained; the multiple hydrogen concentration data are data detected by multiple hydrogen sensors; the multiple hydrogen sensors are multiple hydrogen sensors with different working principles.

[0031] Specifically, in this embodiment of the invention, the detector includes multiple hydrogen sensors and temperature and humidity sensors for detecting ambient temperature and humidity. In the arrangement of the multiple hydrogen sensors, based on the spatial structure, process flow, and potential leakage risk points of the high-purity hydrogen generation area, the multiple hydrogen sensors are rationally deployed in key locations within the production area, such as hydrogen storage tanks, pipeline interfaces, and near reactors, ensuring comprehensive and accurate monitoring of hydrogen concentration and environmental data. Simultaneously, temperature and humidity sensors are deployed immediately following the hydrogen sensors to detect the temperature and humidity corresponding to the hydrogen concentration location. Furthermore, the multiple hydrogen sensors are based on different principles, such as electrochemical sensors, semiconductor sensors, and infrared absorption sensors. Obtaining hydrogen data from multiple sensors based on different principles reduces interference factors on the accuracy of the hydrogen sensors, allowing multiple sets of data to complement and verify each other, thus mitigating sensor performance limitations. That is, when one type of sensor exhibits errors due to its own limitations, other types of sensors can provide reference data for verification.

[0032] Furthermore, each hydrogen sensor, temperature sensor, and humidity sensor is set with the same sampling frequency. Hydrogen concentration and environmental data are collected according to the set sampling frequency (e.g., once every 10 seconds). At the same time, the production safety monitoring system collects and processes the collected data through wired or wireless communication.

[0033] Furthermore, after collecting the data, the production safety monitoring system will preprocess the raw data, including noise removal, filtering, and calibration, to improve the stability of the data.

[0034] Step 20: Obtain the composition and concentration of interfering gases in the high-purity hydrogen production area, and determine multiple interference factors based on the degree of interference of the interfering gas composition and concentration to multiple hydrogen sensors.

[0035] Specifically, in order to obtain the composition and concentration of interfering gases in the high-purity hydrogen production area, the production safety monitoring system will also deploy gas analyzers, such as miniature gas chromatographs, in the high-purity hydrogen production area to detect the composition and concentration of interfering gases in real time. In addition, through experimental methods, the interference data of each interfering gas on each hydrogen sensor will be measured, and a simulation experimental database will be constructed. By analyzing the interference data, the degree of interference of different interfering gases and at different concentrations on the hydrogen sensor will be determined, and then the interference factor of each hydrogen sensor will be calculated. The detailed process of obtaining the interference factor is described in steps 201-204.

[0036] Step 30: Based on the degree of influence of environmental data on multiple hydrogen sensors, determine multiple environmental compensation factors.

[0037] Specifically, after receiving environmental data, the production safety monitoring system calculates an environmental compensation factor for each hydrogen sensor based on the influence of temperature and humidity data on the hydrogen sensor. This environmental compensation factor is used to correct the influence of environmental factors on the sensor results. The specific process of obtaining the environmental compensation factor is described in steps 301-304.

[0038] Furthermore, environmental data includes temperature and humidity data, as changes in temperature and humidity can affect sensor performance. Excessively high or low temperatures may alter the physicochemical properties of the sensor's sensitive elements, affecting their adsorption and reaction efficiency with hydrogen. In high humidity environments, moisture may adhere to the sensor surface, hindering contact between hydrogen and the sensitive elements, thus reducing the sensor's sensitivity and accuracy.

[0039] Step 40: Based on multiple interference factors and multiple environmental compensation factors, multiple hydrogen concentration data are fused to obtain the target hydrogen concentration value.

[0040] Specifically, after identifying multiple interference factors and environmental compensation factors, the production safety monitoring system uses the interference factors and environmental compensation factors to correct the hydrogen concentration data collected by each hydrogen sensor in order to eliminate the influence of interfering gases and environmental factors. The specific process is described in steps 401-404.

[0041] Step 50: If the target hydrogen concentration value exceeds the warning threshold, a warning signal and warning command are sent to the control terminal.

[0042] Specifically, when the production safety monitoring system receives the final target hydrogen concentration value, it judges the target hydrogen concentration value according to the initially preset warning threshold. When the value is below the warning threshold, the production safety monitoring system continues monitoring; when the value is above the warning threshold, the warning mechanism is triggered, and the production safety monitoring system begins to send warning signals such as audible and visual alarms and SMS notifications to the control terminal to alert relevant personnel. Simultaneously, warning instructions are sent, such as activating ventilation equipment to increase ventilation intensity, closing hydrogen valves, and implementing corresponding emergency measures such as shutdown procedures. The specific process is described in steps 501-502.

[0043] This invention relates to the field of information technology and proposes a safety monitoring method for high-purity hydrogen production based on intelligent sensing technology. The proposed method employs multiple hydrogen sensors based on different principles to detect hydrogen concentration from multiple dimensions. These sensors allow for mutual verification and correction of hydrogen concentration readings, reducing the error of a single sensor and minimizing the impact of interfering gases on the sensor detection process. Furthermore, by monitoring environmental data and considering and correcting for the influence of environmental data on hydrogen concentration, the accuracy of hydrogen concentration detection is significantly improved. This method more accurately reflects the hydrogen concentration status in the production area, enabling timely prevention of environmental hydrogen concentration exceeding preset thresholds. Consequently, it effectively avoids safety accidents caused by hydrogen leakage and accumulation, ensuring production safety.

[0044] In one embodiment, steps 201-204 are described as follows:

[0045] Step 201: Obtain multi-environment simulation experimental data of interfering gases from the simulation experiment database.

[0046] Specifically, the production safety monitoring system first establishes a simulation experiment database. This database contains experimental data on the effects of various interfering gases (such as carbon monoxide, methane, and carbon dioxide) on multiple hydrogen sensors under different environmental conditions (including varying temperatures and humidity). Simultaneously, ensuring the accuracy and completeness of the experimental data is crucial during database construction. Therefore, detailed records of the experimental process are kept, including information on experimental equipment, methods, and times. The database is also regularly maintained and updated to ensure the timeliness and reliability of the experimental data.

[0047] Furthermore, after receiving the specific composition and concentration of interfering gases detected in the current high-purity hydrogen production area, the production safety monitoring system retrieves relevant multi-environment simulation experimental data from the simulation database. This includes the interfering gas composition under different temperatures and humidity conditions, as well as the output data of hydrogen sensors at different concentrations. This allows for direct acquisition of relevant experimental data from the database, avoiding repeated experiments and significantly improving the efficiency of identifying interference factors, while saving time and costs.

[0048] Step 202: Fit the multi-environment simulation experimental data to obtain the cross-sensitivity coefficients of each interfering gas to multiple hydrogen sensors.

[0049] Specifically, after receiving the corresponding multi-environment simulation experiment data, the production safety monitoring system first preprocesses the acquired data, including data cleaning and normalization. Data cleaning removes noise and outliers to ensure data quality, while normalization unifies data from different ranges to the same scale, facilitating subsequent fitting. After preprocessing, calibrated multi-environment simulation experiment data is obtained. At this point, based on the data characteristics and the relationship between interfering gases and hydrogen sensors, an appropriate fitting method is selected, such as linear regression or nonlinear regression. Through fitting, the cross-sensitivity coefficients of each interfering gas on multiple hydrogen sensors are obtained. These cross-sensitivity coefficients represent the degree of influence of a unit concentration of interfering gas on the hydrogen sensor output. For example, for a certain interfering gas, the linear relationship between its output on a specific hydrogen sensor and the concentration of the interfering gas is obtained through fitting, denoted as y. o =β0x0+b0, where β0 represents the cross-sensitivity coefficient of the interfering gas to the hydrogen sensor.

[0050] In one embodiment, taking linear regression as an example, let the concentration of the j-th interfering gas be x. j The output of the i-th hydrogen sensor is y i If the linear relationship between the interfering gas and the hydrogen sensor is y i =β ij x j +bi Then, by fitting the data using the least squares method, the cross-sensitivity coefficient β is obtained. ij The calculation formula is Where N represents the number of samples in the experiment. This represents the average concentration of the j-th interfering gas. This represents the average value output of the i-th hydrogen sensor.

[0051] Step 203: Based on the cross-sensitivity coefficient and the gas concentration of each interfering gas, construct an interference matrix and update the interference matrix periodically according to a preset time.

[0052] Specifically, after calculating the cross-sensitivity coefficients, the production safety monitoring system combines the cross-sensitivity coefficients of each interfering gas to multiple hydrogen sensors with the corresponding gas concentration of each interfering gas into a matrix, i.e., the interference matrix. If there are n hydrogen sensors and m interfering gases, the interference matrix is ​​represented as: Where, β ij C represents the cross-sensitivity coefficient of the j-th interfering gas to the i-th hydrogen sensor. j This represents the concentration of the j-th interfering gas.

[0053] Furthermore, the production safety monitoring system updates the interference matrix periodically according to preset intervals (e.g., every minute, every hour). During the update process, the latest interfering gas concentration data is acquired and substituted into the interference matrix to recalculate the values ​​of the matrix elements. Simultaneously, considering that the cross-sensitivity coefficient may undergo slight changes with time and environmental variations, the cross-sensitivity coefficient is also periodically calibrated and updated to ensure the accuracy of the interference matrix.

[0054] Step 204: Based on the preset interference factor formula and the updated interference matrix and interference gas concentration, the interference factors corresponding to multiple hydrogen sensors are obtained respectively.

[0055] Specifically, the production safety monitoring system pre-sets and stores interference factor formulas, and selects appropriate pre-set interference factor formulas, such as F, based on the influence mechanism of interfering gases on the hydrogen sensor and the characteristics of experimental data. i =exp(-δ0), where F i Let δi represent the interference factor of the i-th hydrogen sensor, and δ0 represent the overall interference intensity. The detailed process of obtaining the interference factor is described in steps 2041-2043.

[0056] This invention forms a complete and systematic method for determining the interference factor by starting with acquiring experimental data, obtaining cross-sensitivity coefficients through fitting processing, constructing and updating the interference matrix, and finally calculating the interference factor. Furthermore, by updating the interference matrix at regular intervals, it can track changes in the concentration of interfering gases and possible changes in the cross-sensitivity coefficients in real time, ensuring that the interference factor always reflects the current actual interference situation. This guarantees the timeliness and accuracy of hydrogen concentration measurement and improves the reliability of the high-purity hydrogen production safety monitoring system.

[0057] In one embodiment, steps 2041-2043 are described as follows:

[0058] Step 2041: Based on the updated interference matrix, determine the updated interference gas concentration and cross-sensitivity coefficient, and process the updated interference gas concentration and cross-sensitivity coefficient to obtain the comprehensive interference intensity of all interference gases on each hydrogen sensor.

[0059] Specifically, based on the updated interference matrix, the production safety monitoring system obtains the updated interfering gas concentrations and cross-sensitivity coefficients. It then first calculates the comprehensive interference intensity δ0 of all interfering gases simultaneously affecting each type of hydrogen sensor. Since the interference matrix ℉ is an n*m matrix, where n represents the number of hydrogen sensors and m represents the type of interfering gas, therefore... The overall interference intensity is the sum of the interference effects of all interfering gases on a particular sensor.

[0060] Step 2042: Input the comprehensive interference intensity into the preset interference factor formula to obtain the interference factors corresponding to the multiple hydrogen sensors.

[0061] Specifically, the production safety monitoring system determines the overall interference intensity based on the obtained data and the preset interference factor formula F. i =exp(-δ0), finally obtaining the interference factor. The negative sign indicates that the interference factor decreases as the overall interference intensity of the interfering gas increases. This is because the interference factor is used to correct the original output data of the hydrogen sensor. The presence of the interfering gas will cause deviation in the sensor output. The smaller the interference factor, the greater the correction of the original data, thereby achieving the purpose of eliminating or weakening the influence of the interfering gas and making the final corrected hydrogen sensor data closer to the true hydrogen concentration.

[0062] Step 2044: Determine the interference factors corresponding to the multiple hydrogen sensors. If the interference factors are greater than zero and less than 1, then determine the interference factors corresponding to the multiple hydrogen sensors as the target interference factors.

[0063] Specifically, after obtaining the interference factor of each hydrogen sensor, the production safety monitoring system checks the interference factor to determine whether it is within 0. <F i If the interference factor is within the range of <1, it indicates that the calculated result conforms to the physical meaning. This is because the interference factor represents the degree of influence of interference on sensor measurements, and its value should be between 0 (complete interference, sensor measurement is meaningless) and 1 (no interference). The interference factor that meets the condition is determined as the target interference factor and used for subsequent correction of the hydrogen sensor measurement data.

[0064] This invention accurately quantifies the combined impact of all interfering gases on each hydrogen sensor by calculating the overall interference intensity and deriving the interference factor. This provides a reliable basis for subsequent correction of sensor measurement data. Furthermore, by comprehensively judging the range of the interference factor, it ensures that the final target interference factor conforms to physical meaning and actual conditions, thereby improving the accuracy, reliability, and stability of the entire hydrogen concentration measurement system.

[0065] In one embodiment, steps 301-304 are described as follows:

[0066] Step 301: Construct a temperature and humidity interval combination based on temperature and humidity data, and divide the temperature and humidity interval combination into multiple sub-intervals according to the preset temperature and humidity interval.

[0067] Specifically, the production safety monitoring system first determines the temperature and humidity ranges based on the actual operating environment and performance parameters of the hydrogen sensor. For example, the temperature range is set to -20℃ to 80℃, and the humidity range is set to 10%RH to 95%RH. Then, the temperature and humidity ranges are combined to form a two-dimensional temperature and humidity interval. Within this interval, preset temperature and humidity intervals are set according to actual needs and data accuracy requirements. Assuming a temperature interval of 5℃ and a humidity interval of 10%RH, the temperature and humidity interval is divided into multiple smaller sub-intervals according to the set intervals. For example, starting with a temperature of -20℃ and using 5℃ intervals, and starting with a humidity of 10%RH and using 10%RH intervals, a series of sub-intervals in the form of (-20℃ to 15℃, 10%RH to 20%RH) are obtained.

[0068] Step 302: Obtain the hydrogen sensor data corresponding to each sub-interval from the preset environmental experimental database.

[0069] Specifically, the production safety monitoring system pre-establishes an environmental experiment database, which stores experimental data from hydrogen sensors under different temperature and humidity conditions. During the experiment, temperature and humidity conditions are precisely controlled and distributed across various self-service locations, and the corresponding hydrogen sensor output data is recorded. Then, based on the designated self-service locations, the system retrieves the corresponding hydrogen sensor data from the pre-set environmental experiment database. During the retrieval process, the data is filtered to remove outliers and invalid data to ensure the accuracy and reliability of the acquired data.

[0070] Step 303: Calculate the error between the hydrogen sensor data and the standard hydrogen data to obtain the hydrogen error value for the corresponding sub-interval.

[0071] Specifically, the production safety monitoring system first pre-sets standard hydrogen data with known concentrations based on experimental data. For each sub-interval (i.e., each temperature and humidity combination and standard hydrogen gas concentration), it calculates the average value of the hydrogen sensor output data obtained from multiple measurements, using this average value as the average output value of the hydrogen sensor under that condition. Then, it compares the average output value of the hydrogen sensor with the actual concentration of the standard hydrogen gas to calculate the hydrogen error value. in C represents the average output value of the hydrogen sensor. b The standard hydrogen gas concentration is represented. By calculating the hydrogen error value under different temperature and humidity combinations, the measurement accuracy of the hydrogen sensor under various temperature and humidity conditions can be obtained.

[0072] Step 304: Perform linear fitting on the hydrogen error values ​​in multiple sub-intervals to obtain the temperature drift coefficient and humidity drift coefficient, respectively.

[0073] Specifically, the production safety monitoring system groups the measurement error data obtained under different temperature and humidity combinations according to temperature. When it is necessary to calculate the temperature drift coefficient, the humidity is kept constant and the error values ​​under different temperatures are grouped together. When it is necessary to calculate the humidity drift coefficient, the temperature is kept constant and the error values ​​under different humidity are grouped together.

[0074] Furthermore, after obtaining the grouped data, the production safety monitoring system uses linear regression to fit the data. For the calculation of the temperature drift coefficient, temperature is set as the independent variable T. w The error value of hydrogen is the dependent variable E. T Define a linear relationship E between them. T =k T *T w +b T The slope k is then calculated using the least squares method. T This refers to the temperature drift coefficient; similarly, for the calculation of the humidity drift coefficient, let the independent variable of humidity be H.w The error value of hydrogen is the dependent variable E. H Define a linear relationship E between them. H =k H *H w +b H The slope k is then calculated using the least squares method. H This refers to the humidity drift coefficient.

[0075] Step 305: Input the temperature drift coefficient and humidity drift coefficient into the preset environmental compensation factor formula to obtain the environmental compensation factor.

[0076] Specifically, the production safety monitoring system has a preset environmental compensation factor formula. Where T d T represents the current temperature. c H represents the reference temperature. d H represents the current humidity. c The reference humidity is represented by the environmental compensation factor formula. After determining the temperature drift coefficient and humidity drift coefficient, the environmental compensation factor formula is retrieved to calculate the environmental compensation factor.

[0077] This invention, through processing environmental data and error analysis of hydrogen sensor data, determines the temperature drift coefficient and humidity drift coefficient, comprehensively considering the influence of temperature and humidity on the hydrogen sensor. At the same time, by dividing the data into sub-intervals and performing precise error calculation, the calculation of the environmental compensation factor can be made more accurate, thereby effectively improving the accuracy of hydrogen sensor measurements under different environmental conditions.

[0078] In one embodiment, steps 401-404 are described as follows:

[0079] Step 401: Obtain the error between hydrogen measurement data and actual concentration data within a preset historical time window, and calculate the historical error variance based on the error data.

[0080] Specifically, the production safety monitoring system sets an appropriate historical time window, such as the past 10 minutes or 1 hour, based on factors such as the characteristics of hydrogen concentration changes and sensor response time. Then, it collects the measurement data from each hydrogen sensor within this time window, simultaneously acquiring the corresponding real hydrogen concentration data, and mapping the measured data to the real concentration data one-to-one. For each time point, it calculates the difference between the measured data and the real concentration data for each hydrogen sensor to obtain error data. For example, if the hydrogen sensor measurement value at a certain time is C... mo The actual concentration is C zs Then the error e = C mo -C zs Furthermore, based on the historical error variance... Where q represents the number of measurement data points within that historical time window, e i This represents the error of the i-th measurement data. This represents the average value of the error e.

[0081] Step 402: Determine the weight of each hydrogen sensor based on the historical error variance of each hydrogen sensor within a preset historical time window.

[0082] Specifically, the production safety monitoring system determines weights based on historical error variance. Hydrogen sensors with smaller error variances are considered more reliable and thus assigned a larger weight; conversely, hydrogen sensors with larger error variances have relatively lower reliability and are assigned a smaller weight. Therefore, a weight calculation method based on the reciprocal of the variance is used to ensure that the total weight sums to 1. If there are n hydrogen sensors in total, and the historical error variance of the j-th hydrogen sensor is... Then its weight

[0083] Step 403: Based on multiple interference factors, multiple environmental compensation factors, and the weight of each hydrogen sensor, a weighted fusion is performed to obtain the fused hydrogen concentration estimate.

[0084] Specifically, the production safety monitoring system corrects the raw measurement data of each hydrogen sensor based on the previously calculated interference factor and environmental compensation factor. For example, if the raw measurement data of the j-th hydrogen sensor is C... j Its corresponding interference factor is F j The environmental compensation factor is F. env j The corrected hydrogen sensor output data is: The corrected data is weighted and fused according to the weights of each sensor. There are n hydrogen sensors in total. The estimated hydrogen concentration after fusion is... The calculation formula is

[0085] Step 404: Smooth the estimated hydrogen concentration to obtain the target hydrogen concentration value.

[0086] Specifically, after the production safety monitoring system determines the estimated hydrogen concentration, it employs various smoothing methods, such as moving average and Kalman filtering, to smooth the estimated hydrogen concentration. For example, when using the moving average method, a moving window size is set, such as 5 data points. For the merged hydrogen concentration estimation sequence, the data within the moving window is averaged each time. For instance, the current estimation sequence is... If the moving window size is 5, then the first smoothed target hydrogen concentration value... As new data arrives, the window moves continuously, and average calculations are performed continuously.

[0087] This invention, through reasonable error calculation, weight allocation, data correction and fusion, and smoothing processing, effectively improves the accuracy of hydrogen concentration measurement and reduces the impact of errors and interference. Furthermore, it enables dynamic adjustment of weights based on real-time sensor performance changes (reflected by historical error variance), adapting to different measurement environments and sensor states.

[0088] In one embodiment, the production safety monitoring system monitors the measurement data of each hydrogen sensor in real time. After obtaining the fused hydrogen concentration estimate, it calculates the difference between the measured value and the estimated hydrogen concentration of each hydrogen sensor to obtain the residual (i.e., the difference between the measured value and the estimated hydrogen concentration) for each sensor. If the residual of each hydrogen sensor exceeds three times the historical error standard deviation for three consecutive times, the weight of the corresponding hydrogen sensor is reduced to zero (i.e., the hydrogen sensor has failed). The data from this hydrogen sensor is no longer considered in subsequent data fusion calculations to avoid adverse effects of faulty sensors on the fusion results. Simultaneously, the production safety monitoring system sends transmitter failure information to the administrator.

[0089] In one embodiment, steps 501-502 are described as follows:

[0090] Step 501: If the target hydrogen concentration value is greater than the first threshold and less than the second threshold, then send a first warning signal and fan control processing to the control terminal.

[0091] Specifically, the production safety monitoring system sets a first threshold and a second threshold based on safety standards and actual production needs during the high-purity hydrogen production process. The concentration of the second threshold is greater than that of the first threshold. The first threshold is set at the lower limit of the hydrogen concentration, which is close to the safety warning range, while the second threshold is set closer to the dangerous concentration. For example, the first threshold could be set at 20% of the lower explosive limit (LEL), and the second threshold at 50% (assuming the LEL is 4%, then the first threshold is 0.8% and the second threshold is 2%). The production safety monitoring system continuously monitors the target hydrogen concentration in real time and compares it with the set first and second thresholds. Once the target hydrogen concentration is detected to be greater than the first threshold but less than the second threshold, the corresponding warning and control procedures are immediately triggered. A first warning signal is sent to the control terminal, which may include an audible and visual alarm, an SMS notification, or a prominent pop-up message on the monitoring software, informing the operator that the hydrogen concentration has exceeded the normal range. Simultaneously, control commands are sent to the fans in the ventilation system. Based on the difference between the current hydrogen concentration and the first threshold, and the preset control strategy, the fan speed is adjusted. If the hydrogen concentration is closer to the second threshold, the fan speed will be adjusted accordingly to speed up air circulation and reduce the hydrogen concentration.

[0092] Step 502: If the target hydrogen concentration value is greater than the second threshold, a second warning signal and shutdown control processing are sent to the control terminal.

[0093] Specifically, when the production safety monitoring system detects that the target hydrogen concentration exceeds the second threshold, it indicates that the hydrogen concentration has reached a high level of danger. A second warning signal is then sent to the control terminal. This second warning signal is more severe than the first, including a more urgent alarm sound and more prominent flashing lights. Simultaneously, relevant personnel are notified through various channels (such as SMS and voice broadcasts). At the same time, a shutdown command is immediately sent to the production equipment to stop hydrogen production or transportation. Related emergency procedures are also initiated, such as closing relevant valves to prevent further hydrogen leakage or spread.

[0094] This invention achieves tiered early warning by setting two different threshold levels, enabling operators to take appropriate measures based on varying degrees of danger, thus improving the targeting and effectiveness of the warnings. Precise measures such as fan control and shutdown control are implemented according to different ranges of hydrogen concentration, allowing for control through ventilation when the danger level is low, and timely shutdown to ensure safety when the danger level is high, effectively balancing production and safety.

[0095] Optional, refer to Figure 2 , Figure 2 This is a schematic diagram of the structure of the high-purity hydrogen production safety monitoring system based on intelligent sensing technology provided by the present invention. The high-purity hydrogen production safety monitoring system based on intelligent sensing technology includes:

[0096] The acquisition module 210 is used to: obtain multiple hydrogen concentration data and environmental data based on detectors deployed in the high-purity hydrogen production area; the multiple hydrogen concentration data are data detected by multiple hydrogen sensors; the multiple hydrogen sensors are multiple hydrogen sensors with different working principles;

[0097] The first calculation module 220 is used to: obtain the composition and concentration of interfering gases in the high-purity hydrogen production area, and determine multiple interference factors based on the degree of interference of the interfering gas composition and concentration to multiple hydrogen sensors.

[0098] The second calculation module 230 is used to: determine multiple environmental compensation factors based on the degree of influence of environmental data on multiple hydrogen sensors;

[0099] The fusion module 240 is used to: fuse multiple hydrogen concentration data based on multiple interference factors and multiple environmental compensation factors to obtain a target hydrogen concentration value;

[0100] The early warning judgment module 250 is used to send an early warning signal and an early warning command to the control terminal if the target hydrogen concentration value exceeds the early warning threshold.

[0101] This invention employs various hydrogen sensors based on different principles to detect hydrogen concentration from multiple dimensions. Multiple hydrogen concentration measurements can be mutually verified to reduce the error of a single sensor, thereby minimizing the impact of interfering gases on the sensor detection process. Simultaneously, by monitoring environmental data and considering and correcting for the influence of environmental data on hydrogen concentration, the accuracy of hydrogen concentration detection is greatly improved. This results in a more accurate reflection of the hydrogen concentration in the production area, enabling timely prevention of environmental hydrogen concentration exceeding preset thresholds. Consequently, it effectively avoids safety accidents caused by hydrogen leakage and accumulation, ensuring production safety.

[0102] Please see Figure 3 , Figure 3 An embodiment diagram of an electronic device provided in accordance with the present invention. For example... Figure 3 As shown, this embodiment of the invention provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor 320. When the processor 320 executes the computer program 311, it performs the following steps: obtaining multiple hydrogen concentration data and environmental data based on detectors deployed in a high-purity hydrogen production area; the multiple hydrogen concentration data are data detected by multiple hydrogen sensors; the multiple hydrogen sensors are multiple hydrogen sensors with different working principles; acquiring the composition and concentration of interfering gases in the high-purity hydrogen production area, and determining multiple interference factors based on the degree of interference of the interfering gas composition and concentration on the multiple hydrogen sensors; determining multiple environmental compensation factors based on the degree of influence of the environmental data on the multiple hydrogen sensors; fusing the multiple hydrogen concentration data based on the multiple interference factors and the multiple environmental compensation factors to obtain a target hydrogen concentration value; if the target hydrogen concentration value exceeds the warning threshold, sending a warning signal and a warning command to the control terminal.

[0103] Please see Figure 4 , Figure 4 An embodiment diagram of a computer-readable storage medium provided in accordance with an embodiment of the present invention is shown. Figure 4As shown, this embodiment provides a computer-readable storage medium 400 storing a computer program 311. When executed by a processor, the computer program 311 performs the following steps: obtaining multiple hydrogen concentration data and environmental data based on detectors deployed in a high-purity hydrogen production area; the multiple hydrogen concentration data are data detected by multiple hydrogen sensors; the multiple hydrogen sensors are multiple hydrogen sensors with different working principles; acquiring the composition and concentration of interfering gases in the high-purity hydrogen production area, and determining multiple interference factors based on the degree of interference of the interfering gas composition and concentration on the multiple hydrogen sensors; determining multiple environmental compensation factors based on the degree of influence of environmental data on the multiple hydrogen sensors; fusing the multiple hydrogen concentration data based on the multiple interference factors and the multiple environmental compensation factors to obtain a target hydrogen concentration value; if the target hydrogen concentration value exceeds the warning threshold, sending a warning signal and a warning command to the control terminal.

[0104] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the high-purity hydrogen production safety monitoring method based on intelligent sensing technology provided by the above methods. The method includes: obtaining multiple hydrogen concentration data and environmental data based on detectors deployed in the high-purity hydrogen production area; the multiple hydrogen concentration data are data detected by multiple hydrogen sensors; the multiple hydrogen sensors are multiple hydrogen sensors with different working principles; acquiring the components and concentrations of interfering gases in the high-purity hydrogen production area, and determining multiple interference factors based on the degree of interference of the components and concentrations of interfering gases on the multiple hydrogen sensors; determining multiple environmental compensation factors based on the degree of influence of environmental data on the multiple hydrogen sensors; fusing the multiple hydrogen concentration data based on the multiple interference factors and the multiple environmental compensation factors to obtain a target hydrogen concentration value; and sending a warning signal and a warning command to the control terminal if the target hydrogen concentration value exceeds the warning threshold.

[0105] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0106] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0107] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for safety monitoring of high-purity hydrogen production based on intelligent sensing technology, characterized in that, Includes the following steps: Based on detectors deployed in the high-purity hydrogen production area, multiple hydrogen concentration data and environmental data are obtained; the multiple hydrogen concentration data are data detected by multiple hydrogen sensors; the multiple hydrogen sensors are multiple hydrogen sensors with different working principles. The composition and concentration of interfering gases in the high-purity hydrogen production area are obtained, and multiple interference factors are determined based on the degree of interference of the interfering gas composition and concentration to the multiple hydrogen sensors. Based on the degree of influence of the environmental data on the multiple hydrogen sensors, multiple environmental compensation factors are determined. The target hydrogen concentration value is obtained by fusing the multiple hydrogen concentration data based on the multiple interference factors and the multiple environmental compensation factors respectively. If the target hydrogen concentration exceeds the warning threshold, a warning signal and warning command are sent to the control terminal. The method determines multiple interference factors based on the degree of interference of the interfering gas composition and concentration to the multiple hydrogen sensors, including: Obtain multi-environment simulation data of interfering gases from the simulation experiment database; The multi-environment simulation experimental data were fitted to obtain the cross-sensitivity coefficients of each interfering gas for multiple hydrogen sensors; the cross-sensitivity coefficients represent the degree of influence of a unit concentration of interfering gas on the output of the hydrogen sensor. Based on the cross-sensitivity coefficient and the gas concentration of each interfering gas, an interference matrix is ​​constructed, and the interference matrix is ​​updated periodically according to a preset time. The updated interference matrix and interference gas concentration are processed based on a preset interference factor formula to obtain the interference factors corresponding to the multiple hydrogen sensors; the preset interference factor formula is as follows: ;in, This represents the interference factor of the i-th hydrogen sensor. Indicates the overall interference intensity; The updated interference matrix and interference gas concentration are processed based on a preset interference factor formula to obtain the interference factors corresponding to the multiple hydrogen sensors, including: Based on the updated interference matrix, the updated interference gas concentration and cross-sensitivity coefficient are determined, and the updated interference gas concentration and cross-sensitivity coefficient are processed to obtain the comprehensive interference intensity of all interference gases on each of the hydrogen sensors. The overall interference intensity is input into the preset interference factor formula to obtain the interference factors corresponding to the multiple hydrogen sensors respectively; The interference factors corresponding to the plurality of hydrogen sensors are judged. If they are greater than zero and less than 1, the interference factors corresponding to the plurality of hydrogen sensors are determined as target interference factors.

2. The method for safety monitoring of high-purity hydrogen production based on intelligent sensing technology according to claim 1, characterized in that, The environmental data includes temperature and humidity data. Based on the impact of this environmental data on the multiple hydrogen sensors, multiple environmental compensation factors are determined, including: Based on the temperature data and humidity data, a temperature and humidity range combination is constructed, and the temperature and humidity range combination is divided according to a preset temperature and humidity interval to obtain multiple sub-ranges; Obtain hydrogen sensor data for each sub-interval from the preset environmental experimental database; Error calculations are performed on the hydrogen sensor data and standard hydrogen data to obtain the hydrogen error value corresponding to the sub-interval; Linear fitting was performed on the hydrogen error values ​​within the multiple sub-intervals to obtain the temperature drift coefficient and humidity drift coefficient, respectively; The temperature drift coefficient and the humidity drift coefficient are input into a preset environmental compensation factor formula to obtain the environmental compensation factor; the environmental compensation factor formula is: ,in, Indicates the current temperature. Indicates reference temperature. Indicates the current humidity. Indicates reference humidity. Indicates the temperature drift coefficient. This represents the humidity drift coefficient.

3. The method for safety monitoring of high-purity hydrogen production based on intelligent sensing technology according to claim 1, characterized in that, The process of fusing the multiple hydrogen concentration data based on the multiple interference factors and the multiple environmental compensation factors to obtain the target hydrogen concentration value includes: Obtain the error between hydrogen measurement data and actual concentration data within a preset historical time window, and calculate the historical error variance based on the error data; The weight of each hydrogen sensor is determined based on the historical error variance corresponding to each hydrogen sensor within a preset historical time window. The hydrogen concentration estimate is obtained by weighted fusion based on the multiple interference factors, the multiple environmental compensation factors, and the weight of each hydrogen sensor. The estimated hydrogen concentration is smoothed to obtain the target hydrogen concentration value.

4. The method for safety monitoring of high-purity hydrogen production based on intelligent sensing technology according to claim 3, characterized in that, Once the fused hydrogen concentration estimate is obtained, the difference between the measured value of each hydrogen sensor and the hydrogen concentration estimate is calculated to obtain the residual of each hydrogen sensor. If the residual of each hydrogen sensor exceeds 3 times the historical error standard deviation for three consecutive times, the weight of the corresponding hydrogen sensor is reduced to zero.

5. The method for safety monitoring of high-purity hydrogen production based on intelligent sensing technology according to claim 1, characterized in that, If the target hydrogen concentration value exceeds the warning threshold, a warning signal and warning command are sent to the control terminal, including: If the target hydrogen concentration value is greater than the first threshold and less than the second threshold, a first warning signal and fan control processing are sent to the control terminal. If the target hydrogen concentration value is greater than the second threshold, a second warning signal and shutdown control processing are sent to the control terminal.

6. A high-purity hydrogen production safety monitoring system based on intelligent sensing technology, applied to the high-purity hydrogen production safety monitoring method based on intelligent sensing technology as described in any one of claims 1 to 5; The high-purity hydrogen production safety monitoring system based on intelligent sensing technology includes: The acquisition module is used to: obtain multiple hydrogen concentration data and environmental data based on detectors deployed in the high-purity hydrogen production area; the multiple hydrogen concentration data are data detected by multiple hydrogen sensors; the multiple hydrogen sensors are multiple hydrogen sensors with different working principles; The first calculation module is used to: obtain the composition and concentration of interfering gases in the high-purity hydrogen production area, and determine multiple interference factors based on the degree of interference of the interfering gas composition and concentration to the multiple hydrogen sensors; The second calculation module is used to: determine multiple environmental compensation factors based on the degree of influence of the environmental data on the multiple hydrogen sensors; The fusion module is used to: fuse the multiple hydrogen concentration data based on the multiple interference factors and the multiple environmental compensation factors respectively to obtain the target hydrogen concentration value; The early warning judgment module is used to: send an early warning signal and an early warning command to the control terminal if the target hydrogen concentration value exceeds the early warning threshold; The method determines multiple interference factors based on the degree of interference of the interfering gas composition and concentration to the multiple hydrogen sensors, including: Obtain multi-environment simulation data of interfering gases from the simulation experiment database; The multi-environment simulation experimental data were fitted to obtain the cross-sensitivity coefficients of each interfering gas for multiple hydrogen sensors; the cross-sensitivity coefficients represent the degree of influence of a unit concentration of interfering gas on the output of the hydrogen sensor. Based on the cross-sensitivity coefficient and the gas concentration of each interfering gas, an interference matrix is ​​constructed, and the interference matrix is ​​updated periodically according to a preset time. The updated interference matrix and interference gas concentration are processed based on a preset interference factor formula to obtain the interference factors corresponding to the multiple hydrogen sensors; the preset interference factor formula is as follows: ;in, This represents the interference factor of the i-th hydrogen sensor. Indicates the overall interference intensity; The updated interference matrix and interference gas concentration are processed based on a preset interference factor formula to obtain the interference factors corresponding to the multiple hydrogen sensors, including: Based on the updated interference matrix, the updated interference gas concentration and cross-sensitivity coefficient are determined, and the updated interference gas concentration and cross-sensitivity coefficient are processed to obtain the comprehensive interference intensity of all interference gases on each of the hydrogen sensors. The overall interference intensity is input into the preset interference factor formula to obtain the interference factors corresponding to the multiple hydrogen sensors respectively; The interference factors corresponding to the plurality of hydrogen sensors are judged. If they are greater than zero and less than 1, the interference factors corresponding to the plurality of hydrogen sensors are determined as target interference factors.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the high-purity hydrogen production safety monitoring method based on intelligent sensing technology as described in any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the high-purity hydrogen production safety monitoring method based on intelligent sensing technology as described in any one of claims 1 to 5.

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