High-purity hydrogen production safety monitoring method and system based on intelligent sensing technology

Abstract

The invention discloses a high-purity hydrogen production safety monitoring method based on an intelligent sensing technology, and the method comprises the following steps: obtaining a plurality of hydrogen concentration data and environment data based on a detector disposed in a high-purity hydrogen production area; obtaining interference gas components and concentration in the high-purity hydrogen production area, and determining a plurality of interference factors based on interference degrees of the interference gas components and concentration 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 environment compensation factors to obtain a target hydrogen concentration value; if the target hydrogen concentration value exceeds the early warning threshold value, an early warning signal and an early warning instruction are sent to a control terminal. According to the invention, the error of a single sensor is reduced, the influence of environmental data on the hydrogen concentration can be considered and corrected, and the accuracy of hydrogen concentration detection is improved.

Description

Technical Field

[0001] The present invention relates to the field of information technology, and particularly to a safety monitoring method and system for high-purity hydrogen production based on intelligent sensing technology. Background Art

[0002] In the high-purity hydrogen production environment, multiple interference factors coexist, seriously affecting the accuracy of hydrogen concentration monitoring. Since many interfering gases have similarities in properties with hydrogen, existing sensors are difficult to effectively distinguish, and cross-reactions occur frequently, resulting in false alarms and missed alarms. For example, in the high-purity hydrogen production workshop in a chemical industrial park, gases such as carbon monoxide and methane may exist in the surrounding area, which will interfere with the detection of hydrogen by sensors. At the same time, large fluctuations in environmental temperature and humidity will also have a significant impact on the performance of sensors. When the humidity is relatively high, a water vapor film is easily formed on the surface of the sensor, hindering the contact between hydrogen and the sensitive element; when the temperature is too high or too low, the physical and chemical properties of the sensitive element will change, resulting in deviations in the detection results. Summary of the Invention

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

[0004] In order to achieve the above purpose, the present invention adopts the following technical solutions:

[0005] A safety monitoring method for 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, a plurality of hydrogen concentration data and environmental data are obtained; the plurality of hydrogen concentration data are respectively the data detected by a plurality of hydrogen sensors; the plurality of hydrogen sensors are hydrogen sensors with a plurality of different working principles;

[0007] Obtain the components and concentrations of interfering gases in the high-purity hydrogen production area, and determine a plurality of interference factors based on the interference degrees of the plurality of hydrogen sensors by the components and concentrations of the interfering gases;

[0008] Determine a plurality of environmental compensation factors based on the influence degrees of the environmental data on the plurality of hydrogen sensors;

[0009] Based on the plurality of interference factors and the plurality of environmental compensation factors, respectively fuse the plurality of hydrogen concentration data to obtain a target hydrogen concentration value;

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

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

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

[0013] The first calculation module is used to: obtain the interfering gas components and concentrations in the high-purity hydrogen production area, and determine a plurality of interference factors based on the interference degrees of the interfering gas components and concentrations on the plurality of hydrogen sensors;

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

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

[0016] The warning judgment module is used to: if the target hydrogen concentration value exceeds the warning threshold, send a warning signal and a warning instruction to the control terminal.

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

[0018] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned high-purity hydrogen production safety monitoring method based on intelligent sensing technology are implemented.

[0019] The present invention has the following advantages compared with the prior art:

[0020] The high-purity hydrogen production safety monitoring method based on intelligent sensing technology provided by the present invention realizes the detection of hydrogen concentration from multiple dimensions by using hydrogen sensors with a variety of different principles, enables a plurality of hydrogen concentrations to complement and verify each other, reduces the error of a single sensor, and further reduces the influence of interfering gases on the sensor detection process. At the same time, it cooperates with the monitoring of environmental data, considers the influence of environmental data on hydrogen concentration and corrects it, thereby greatly improving the accuracy of hydrogen concentration detection, being able to more truly reflect the hydrogen concentration status in the production area, more timely avoiding the environmental hydrogen concentration exceeding the preset threshold, and effectively avoiding safety accidents caused by hydrogen leakage and accumulation, ensuring production safety. Description of the Drawings

[0021] To more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings.

[0022] Figure 1 It is a schematic flowchart of a high-purity hydrogen production safety monitoring method based on intelligent sensing technology provided by an embodiment of the present invention;

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

[0024] Figure 3 It is an embodiment diagram of an electronic device provided by an embodiment of the present invention;

[0025] Figure 4 It is an embodiment diagram of a computer-readable storage medium provided by an embodiment of the present invention. Detailed implementation manners

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0027] In the description of the present invention, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more such features. In the description of the present invention, "a plurality" means two or more, unless otherwise specifically defined.

[0028] In the description of the present invention, the term "for example" is used to mean "serving as an example, illustration, or explanation". Any embodiment described as "for example" in the present invention is not necessarily 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 present invention. In the following description, details are set forth for purposes of explanation. It should be understood that those of ordinary skill in the art can recognize that the present invention can be implemented without the use of these specific details. In other instances, well-known structures and processes are not elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but rather to be in line with the broadest scope consistent with the principles and features disclosed in the present invention.

[0029] Refer to Figure 1 , Figure 1 FIG. is a schematic flowchart of a high-purity hydrogen production safety monitoring method based on intelligent sensing technology provided by the present invention. In the embodiments of the present invention, the execution subject of the high-purity hydrogen production safety monitoring method based on intelligent sensing technology is a production safety monitoring system. Therefore, the high-purity hydrogen production safety monitoring method based on intelligent sensing technology includes:

[0030] Step 10: Obtain a plurality of hydrogen concentration data and environmental data based on detectors deployed in the high-purity hydrogen production area; the plurality of hydrogen concentration data are respectively the data detected by a plurality of hydrogen sensors; the plurality of hydrogen sensors are hydrogen sensors with different working principles.

[0031] Specifically, in the embodiments of the present invention, the detector includes a plurality of hydrogen sensors, a temperature sensor for detecting environmental temperature and humidity, and a humidity sensor. In the arrangement of the plurality of hydrogen sensors, according to the spatial structure, process flow, and potential leakage risk points of the high-purity hydrogen generation area, the plurality of hydrogen sensors are reasonably deployed at key positions in the production area, such as near hydrogen storage tanks, pipeline interfaces, and reaction kettles, to ensure that the hydrogen concentration and environmental data can be comprehensively and accurately monitored. At the same time, a temperature sensor and a humidity sensor are deployed at positions close to the hydrogen sensors to detect the temperature and humidity corresponding to the position where the hydrogen concentration is detected. The plurality of hydrogen sensors are hydrogen sensors with different principles, such as electrochemical sensors, semiconductor sensors, infrared absorption sensors, etc. Obtaining hydrogen data from a plurality of hydrogen sensors with different principles is to reduce the interference of interference factors on the accuracy of the hydrogen sensors, so that multiple sets of data can complement and verify each other to reduce the problem of sensor performance limitations, that is, when a certain type of sensor has an error 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 are set to the same sampling frequency. Hydrogen concentration and environmental data are collected according to the set sampling frequency (e.g., once every 10 seconds). Meanwhile, the production safety monitoring system collects and processes the collected data through wired or wireless communication methods.

[0033] Furthermore, after the production safety monitoring system collects the acquired data, it also preprocesses the acquired raw data, including operations such as noise removal, filtering, and calibration, to improve the stability of the data.

[0034] Step 20: Obtain the interfering gas components and concentrations in the high-purity hydrogen production area, and determine multiple interference factors based on the interfering gas components and concentrations and the interference degrees on multiple hydrogen sensors.

[0035] Specifically, in order for the production safety monitoring system to obtain the interfering gas components and concentrations in the high-purity hydrogen production area, it also arranges gas analyzers, such as micro gas chromatographs, in the high-purity hydrogen production area to detect the components and concentrations of interfering gases in real time. In addition, through experimental methods, the interference data of each interfering gas on each hydrogen sensor is measured, and a simulation experiment database is constructed. By analyzing the interference data, the interference degrees of different interfering gases and different concentrations on the hydrogen sensors are judged, and then the interference factor of each hydrogen sensor is calculated. The detailed process of obtaining the interference factor is as described in Steps 201 - 204.

[0036] Step 30: Determine multiple environmental compensation factors based on the influence degrees of environmental data on multiple hydrogen sensors.

[0037] Specifically, after the production safety monitoring system receives the environmental data, it calculates the environmental compensation factor of each hydrogen sensor according to the influence rules of the temperature data and humidity data in the environmental data on the hydrogen sensor, so as to realize the correction of the influence of environmental factors on the sensor results according to the environmental compensation factor. The specific process of obtaining the environmental compensation factor is as described in Steps 301 - 304.

[0038] Furthermore, the environmental data includes temperature data and humidity data because changes in temperature and humidity will affect the performance of the sensor. Too high or too low temperature may change the physical and chemical properties of the sensitive element in the sensor, affecting its adsorption and reaction efficiency to hydrogen; in a high-humidity environment, moisture may adsorb on the sensor surface, hindering the contact between hydrogen and the sensitive element, and reducing the sensitivity and accuracy of the sensor.

[0039] Step 40: Fuse multiple hydrogen concentration data based on multiple interference factors and multiple environmental compensation factors respectively to obtain the target hydrogen concentration value.

[0040] Specifically, after determining 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 to eliminate the influence of interfering gases and environmental factors. The specific process is as described in steps 401 - 404.

[0041] Step 50, if the target hydrogen concentration value exceeds the warning threshold, send a warning signal and a warning instruction 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 it is lower than the warning threshold, the production safety monitoring system continues to monitor. When it is higher than the warning threshold, the warning mechanism is triggered at this time. The production safety monitoring system starts to send warning signals such as audible and visual alarms, text message notifications, etc. to the control terminal to alert relevant personnel. At the same time, warning instructions are sent, such as starting ventilation equipment, increasing ventilation intensity, closing the hydrogen valve, and taking corresponding emergency measures such as parking. The specific process is as described in steps 501 - 502.

[0043] The present invention relates to the field of information technology and proposes a high-purity hydrogen production safety monitoring method based on intelligent sensing technology. In the present invention, the proposed production safety monitoring method uses multiple hydrogen sensors with different principles to detect the hydrogen concentration from multiple dimensions, enabling multiple hydrogen concentrations to complement and verify each other to reduce the error of a single sensor, thereby reducing the influence of interfering gases on the sensor detection process. At the same time, it cooperates with the monitoring of environmental data, takes into account the influence of environmental data on the hydrogen concentration and corrects it, thus greatly improving the accuracy of hydrogen concentration detection, being able to more truly reflect the hydrogen concentration situation in the production area, enabling more timely avoidance of the environmental hydrogen concentration exceeding the preset threshold, and effectively avoiding safety accidents caused by the leakage and accumulation of hydrogen, ensuring production safety.

[0044] In one embodiment, the descriptions of steps 201 - 204 are as follows:

[0045] Step 201, obtain the multi-environment simulation experiment data of interfering gases from the simulation experiment database.

[0046] Specifically, the production safety monitoring system first constructs a simulation experiment database, which contains experimental data on the effects of various interfering gases (such as carbon monoxide, methane, carbon dioxide, etc.) on multiple hydrogen sensors under different environmental conditions (including different temperatures, humidities, etc.). At the same time, when constructing the simulation experiment database, it is also necessary to ensure the accuracy and integrity of the experimental data. Therefore, the experimental process is recorded in detail, including information such as experimental equipment, experimental methods, and experimental time, and the database is regularly maintained and updated to always ensure the timeliness and reliability of the experimental data.

[0047] Furthermore, after the production safety monitoring system receives the specific components and concentrations of the interfering gases detected in the current high-purity hydrogen production area, it retrieves relevant multi-environment simulation experimental data from the simulation database, that is, the output data of hydrogen sensors under different temperature and humidity environmental interfering gas components and different concentrations. This realizes directly obtaining relevant experimental data from the database, avoiding repeated experiments each time, greatly improving the efficiency of determining interference factors, and saving time and costs.

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

[0049] Specifically, after the production safety monitoring system receives the corresponding multi-environment simulation experimental data, it first preprocesses the obtained multi-environment simulation experimental data, including operations such as data cleaning and normalization. Among them, data cleaning is used to remove noise and outliers in the data to ensure the quality of the data, and normalization is used to unify data in different ranges to the same scale for subsequent fitting processing. After preprocessing, calibrated multi-environment simulation experimental data is obtained. At this time, according to the characteristics of the data and the relationship between the interfering gas and the hydrogen sensor, a suitable fitting method is selected, such as linear regression, non-linear regression, etc. Through fitting processing, the cross-sensitivity coefficients of each interfering gas to multiple hydrogen sensors are obtained. Among them, the cross-sensitivity coefficient represents the degree of influence of a unit concentration of the interfering gas on the output of the hydrogen sensor. For example, for a certain interfering gas, the linear relationship between its output to a certain hydrogen sensor and the concentration of the interfering gas obtained through fitting is y o =β0x0 + b0, where β0 represents the cross-sensitivity coefficient of this interfering gas to this hydrogen sensor.

[0050] In one embodiment, taking linear regression as an example, let the concentration of the jth interfering gas be x j , and the output of the ith hydrogen sensor be y i . If there is a linear relationship between the interfering gas and the hydrogen sensor at this time as y i =β ij x j +bi , it is then fitted by the least squares method to obtain the cross-sensitivity coefficient β ij The calculation formula of where N represents the sample size of the experimental data, represents the average concentration of the j-th interfering gas, represents the average output of the i-th hydrogen sensor.

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

[0052] Specifically, after the production safety monitoring system calculates the cross-sensitivity coefficient, it combines the cross-sensitivity coefficients of each interfering gas to multiple hydrogen sensors and the gas concentration corresponding to each interfering gas into a matrix, that is, the interference matrix. If there are n hydrogen sensors and m interfering gases, the interference matrix ℉ is expressed as: where β ij represents the cross-sensitivity coefficient of the j-th interfering gas to the i-th hydrogen sensor, and C j represents the concentration of the j-th interfering gas.

[0053] Furthermore, the production safety monitoring system updates the interference matrix regularly according to a preset time (such as every minute, every hour, etc.). During the update process, it obtains the latest interfering gas concentration data and substitutes it into the interference matrix to recalculate the values of the matrix elements. At the same time, considering that the cross-sensitivity coefficient may change slightly with time and environment, the cross-sensitivity coefficient is also calibrated and updated regularly to ensure the accuracy of the interference matrix.

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

[0055] Specifically, the production safety monitoring system presets and stores the interference factor formula, and selects a suitable preset interference factor formula according to the influence mechanism of the interfering gas on the hydrogen sensor and the characteristics of the experimental data, such as F i = exp(-δ0), where F i represents the interference factor of the i-th hydrogen sensor, and δ0 represents the comprehensive interference intensity. The detailed process of further obtaining the interference factor is as described in Steps 2041 - 2043.

[0056] Starting from obtaining experimental data, the present invention obtains the cross-sensitivity coefficient through fitting processing, constructs and updates the interference matrix, and finally calculates the interference factor, forming a complete and systematic method for determining the interference factor. By updating the interference matrix regularly, it can track the changes in the concentration of interfering gases and the possible changes in the cross-sensitivity coefficient in real time, enabling the interference factor to always reflect the current actual interference situation, ensuring the timeliness and accuracy of hydrogen concentration measurement, and improving the reliability of the high-purity hydrogen production safety monitoring system.

[0057] In one embodiment, the descriptions of steps 2041 - 2043 are as follows:

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

[0059] Specifically, after the production safety monitoring system obtains the updated interfering gas concentration and cross-sensitivity coefficient according to the updated interference matrix, it first calculates the comprehensive interference intensity δ0 of all interfering gases on each hydrogen sensor simultaneously. Since the interference matrix ℉ is an n*m matrix, where n represents the number of hydrogen sensors and m represents the types of interfering gases, therefore That is, the comprehensive interference intensity is the sum of the interference effects of all interfering gases on a certain sensor.

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

[0061] Specifically, the production safety monitoring system, according to the obtained comprehensive interference intensity and the preset interference factor formula F i = exp(-δ0), finally obtains the interference factor Wherein, the negative sign indicates that the interference factor decreases with the increase of the comprehensive interference intensity of the interfering gas. This is because the interference factor is used to correct the original output data of the hydrogen sensor, and the presence of the interfering gas will cause deviation in the sensor output. The smaller the interference factor, the greater the correction amplitude for the original data, so as to achieve the purpose of eliminating or weakening the influence of the interfering gas and making the finally corrected hydrogen sensor data closer to the true hydrogen concentration.

[0062] Step 2044, judge the interference factors corresponding to multiple hydrogen sensors respectively. If it is greater than zero and less than 1, then determine the interference factors corresponding to multiple hydrogen sensors respectively as the target interference factors.

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

[0064] In the embodiment of the present invention, through the calculation of the comprehensive interference intensity and the derivation of the interference factor, the comprehensive influence of all interfering gases on each hydrogen sensor is accurately quantified, providing a reliable basis for subsequent correction of the sensor measurement data, and comprehensively judging the range of the interference factor to ensure that the finally obtained target interference factor conforms to the physical meaning and actual situation, thereby improving the accuracy, reliability and stability of the entire hydrogen concentration measurement system.

[0065] In one embodiment, the descriptions of steps 301 - 304 are as follows:

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

[0067] Specifically, the production safety monitoring system first determines the value ranges of temperature and humidity according to the actual use environment and performance parameters of the hydrogen sensor. For example, the temperature range is set from -20°C to 80°C, and the humidity range is set from 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, a preset temperature and humidity interval is set according to the actual requirements and data accuracy requirements. Assume the temperature interval is 5°C and the humidity interval is 10%RH. According to the set temperature and humidity intervals, the temperature and humidity interval combination is divided into multiple small sub-intervals. For example, starting from -20°C for temperature with an interval of 5°C, and starting from 10%RH for humidity with an interval of 10%RH, a series of sub-intervals in the form of (-20°C--15°C, 10%RH - 20%RH) are obtained.

[0068] Step 302, obtain the hydrogen sensor data corresponding to each sub-interval from the preset environmental experiment database.

[0069] Specifically, an environmental experiment database is established in advance within the production safety monitoring system. Experimental data of hydrogen sensors under different temperature and humidity conditions are stored in this environmental experiment database. During the experiment, the temperature and humidity conditions are precisely controlled so that their distribution is within each self - fetching unit, and the output data of the corresponding hydrogen sensors are recorded. Then, according to the divided self - fetching units, the corresponding hydrogen sensor data are retrieved from the preset environmental experiment database. During the retrieval process, the data are screened to remove outliers and invalid data to ensure the authenticity and reliability of the obtained 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 sets the standard hydrogen data with known concentrations according to the experimental data. For each sub - interval (i.e., each temperature - humidity combination and standard hydrogen gas concentration), the average value of the hydrogen sensor output data obtained from multiple measurements is calculated as the average output value of the hydrogen sensor under this condition. Then, the average output value of the hydrogen sensor is compared with the actual concentration of the standard hydrogen gas to calculate the hydrogen error value. Where represents the average output value of the hydrogen sensor, and C b represents the standard hydrogen gas concentration. By calculating the hydrogen error values under different temperature - 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 the humidity drift coefficient respectively.

[0073] Specifically, the production safety monitoring system groups the obtained measurement error data under different temperature - humidity combinations by temperature. When calculating the temperature drift coefficient, the humidity is kept constant, and the error values at different temperatures are grouped into one set; when calculating the humidity drift coefficient, the temperature is kept constant, and the error values at different humidities are grouped into one set.

[0074] Furthermore, after the production safety monitoring system obtains each set of grouped data, a linear regression method is used for fitting. For the calculation of the temperature drift coefficient, let the temperature be the independent variable T w and the hydrogen error value be the dependent variable E T It is defined that there is a linear relationship between them E T = k T *T w + b T Then, the slope k T is calculated by the least - squares method, that is, the temperature drift coefficient; similarly, for the calculation of the humidity drift coefficient, let the humidity independent variable be Hw , the hydrogen error value is the dependent variable E H , it is defined that there is a linear relationship E between them H = k H * H w + b H , then the slope k is calculated by the least squares method H , that is, the humidity drift coefficient

[0075] Step 305, input the temperature drift coefficient and the humidity drift coefficient into the preset environmental compensation factor formula to obtain the environmental compensation factor

[0076] Specifically, the preset environmental compensation factor formula in the production safety monitoring system where T d represents the current temperature, T c represents the reference temperature, H d represents the current humidity, H c represents the reference humidity. After determining the temperature drift coefficient and the humidity drift coefficient, the environmental compensation factor formula is retrieved, and thus the environmental compensation factor is calculated

[0077] In the embodiment of the present invention, by processing environmental data and analyzing the errors of hydrogen sensor data, the temperature drift coefficient and the humidity drift coefficient are determined, comprehensively considering the influence of temperature and humidity on the hydrogen sensor. At the same time, by dividing sub-intervals and precise error calculation, the calculation of the environmental compensation factor can be made more accurate, thereby effectively improving the measurement accuracy of the hydrogen sensor under different environmental conditions

[0078] In one embodiment, the descriptions of steps 401 - 404 are as follows

[0079] Step 401, obtain the errors between the hydrogen measurement data and the true concentration data within the preset historical time window, and calculate the historical error variance based on the error data

[0080] Specifically, the production safety monitoring system sets a suitable historical time window according to factors such as the hydrogen concentration change characteristics and the sensor response time, such as the past 10 minutes or 1 hour, etc. Then, the measurement data of each hydrogen sensor within this time window is collected, and at the same time, the true hydrogen concentration data corresponding to the moment is obtained, and the measurement data and the true concentration data are made to correspond one by one. For each time point, calculate the difference between the measurement data of each hydrogen sensor and the true concentration data to obtain the error data. For example, at a certain moment, the measured value of the hydrogen sensor is C mo , the true concentration is C zs , then the error e = C mo - C zs . Furthermore, according to the historical error variance where q represents the number of measurement data in the historical time window, and e i represents the error of the i-th measurement data, represents the average value of the error e.

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

[0082] Specifically, the production safety monitoring system determines the weight according to the historical error variance. Among them, the hydrogen sensor with a smaller error variance has more reliable measurements and is given a larger weight; the hydrogen sensor with a larger error variance has relatively lower measurement reliability and is given a smaller weight. Therefore, a weight calculation method based on the reciprocal of the variance is adopted to ensure that the sum of the weights is 1. For example, if there are n hydrogen sensors, and the historical error variance of the j-th hydrogen sensor is then its weight

[0083] Step 403: Perform weighted fusion based on multiple interference factors, multiple environmental compensation factors, and the weight of each hydrogen sensor to obtain a fused hydrogen concentration estimation value.

[0084] Specifically, the production safety monitoring system corrects the original measurement data of each hydrogen sensor according to the previously calculated interference factors and environmental compensation factors. For example, if the original measurement data of the j-th hydrogen sensor is C j , and its corresponding interference factor is F j , and the environmental compensation factor is F env j , then the output data of the corrected hydrogen sensor is The corrected data is weighted and fused according to the weights of each sensor. If there are n hydrogen sensors, then the fused hydrogen concentration estimation value The calculation formula is

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

[0086] Specifically, after the production safety monitoring system determines the hydrogen concentration estimation value, it uses various smoothing methods, such as the moving average method, the Kalman filter method, etc., to smooth the hydrogen concentration estimation value. For example, when using the moving average method, a moving window size is set, such as 5 data points. For the fused hydrogen concentration estimation value sequence, the data within the moving window is averaged each time. For example, the current estimation value sequence is If the moving window size is 5, then the first smoothed target hydrogen concentration value And as new data arrives, the window moves continuously and the average calculation continues.

[0087] In the embodiments of the present invention, through reasonable error calculation, weight allocation, data correction, fusion, and smoothing processing, the accuracy of hydrogen concentration measurement is effectively improved, and the influence of errors and interference is reduced. Moreover, it is possible to dynamically adjust the weights according to the real-time performance changes of the sensors (reflected by the historical error variances) to adapt 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 estimated value of the hydrogen concentration after fusion, a difference calculation is performed based on the measurement value of each hydrogen sensor and the estimated value of the hydrogen concentration to obtain the residual corresponding to each hydrogen sensor (i.e., the difference between the measurement value and the estimated value of the hydrogen concentration). 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 (i.e., the hydrogen sensor fails at this time). In subsequent data fusion calculations, the data of this hydrogen sensor is no longer considered to avoid the adverse impact of the faulty sensor on the fusion result. At the same time, the production safety monitoring system sends a transmitter fault message to the administrator.

[0089] In one embodiment, the descriptions of steps 501 - 502 are as follows:

[0090] Step 501, if the target hydrogen concentration value is greater than the first threshold and less than the second threshold, a first warning signal is sent to the control terminal and fan regulation processing is performed.

[0091] Specifically, the production safety monitoring system sets the warning thresholds as the first threshold and the second threshold according to the safety standards and actual production requirements in the high-purity hydrogen production process. The concentration of the second threshold is greater than that of the first threshold. At the same time, the first threshold is set near the lower limit of the safety warning range of the hydrogen concentration, and the second threshold is set closer to the dangerous concentration. For example, the first threshold is set to 20% of the lower explosion limit, and the second threshold is set to 50% of the lower explosion limit (assuming the lower explosion limit is 4%, then the first threshold is 0.8% and the second threshold is 2%). At this time, the production safety monitoring system continuously monitors the target hydrogen concentration value in real time and compares it with the set first threshold and second threshold. Once it is detected that the target hydrogen concentration value is greater than the first threshold and less than the second threshold, the corresponding warning and regulation processes are immediately triggered. A first warning signal is sent to the control terminal. The first warning signal includes audible and visual alarms, text message notifications, or a prominent prompt box pops up on the monitoring software to inform the operator that the hydrogen concentration has exceeded the normal range. At the same time, a regulation instruction is sent to the fan in the ventilation system. According to the difference between the current hydrogen concentration and the first threshold and the preset regulation strategy, the rotation speed of the fan is adjusted. If the hydrogen concentration is closer to the second threshold, the rotation speed of the fan is adjusted higher accordingly to accelerate air circulation and reduce the hydrogen concentration.

[0092] Step 502, if the target hydrogen concentration value is greater than the second threshold, send a second warning signal to the control terminal and perform parking regulation processing.

[0093] Specifically, when the production safety monitoring system detects that the target hydrogen concentration value is greater than the second threshold, it indicates that the hydrogen concentration has reached a relatively high level of danger. A second warning signal is sent to the control terminal. The warning level of the second warning signal is higher than that of the first warning signal, such as emitting a more urgent alarm sound and more prominent flashing lights, and at the same time notifying relevant personnel through multiple channels (such as text messages, voice broadcasts, etc.). Meanwhile, immediately send a parking instruction to the production equipment to stop related operations such as hydrogen production or transportation. And start relevant emergency treatment procedures, such as closing relevant valves to prevent further leakage or diffusion of hydrogen.

[0094] In the embodiment of the present invention, by setting two different levels of thresholds, hierarchical warning is achieved, enabling operators to take corresponding measures according to different levels of danger, improving the pertinence and effectiveness of warning. According to different ranges of hydrogen concentration, precise measures such as fan regulation and parking regulation are respectively taken, which can not only control through ventilation when the danger level is relatively low, but also stop the vehicle in time to ensure safety when the danger level is high, effectively balancing the relationship between production and safety.

[0095] Optionally, referring to Figure 2 , Figure 2 is a schematic structural diagram of a 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 respectively the data detected by multiple hydrogen sensors; the multiple hydrogen sensors are hydrogen sensors with multiple different working principles;

[0097] The first calculation module 220 is used to: obtain the interfering gas components and concentrations in the high-purity hydrogen production area, and determine multiple interference factors based on the interference degrees of the interfering gas components and concentrations on the multiple hydrogen sensors;

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

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

[0100] The warning judgment module 250 is used to: if the target hydrogen concentration value exceeds the warning threshold, send a warning signal and a warning instruction to the control terminal.

[0101] In the embodiments of the present invention, by adopting hydrogen sensors with multiple different principles, the detection of hydrogen concentration is realized from multiple dimensions, enabling multiple hydrogen concentrations to complement and verify each other, reducing the error of a single sensor, further reducing the influence of interfering gases on the sensor detection process, and at the same time, cooperating with the monitoring of environmental data, considering the influence of environmental data on hydrogen concentration and making corrections. Thereby, the accuracy of hydrogen concentration detection is greatly improved, the hydrogen concentration status in the production area can be reflected more realistically, the environmental hydrogen concentration can be more timely avoided from exceeding the preset threshold, and further, safety accidents caused by the accumulation of hydrogen leakage can be effectively avoided, ensuring production safety.

[0102] Please refer to Figure 3 , Figure 3 which is an embodiment diagram of the electronic device provided by the embodiments of the present invention. As Figure 3 shown, the embodiments of the present invention provide an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored on the memory 310 and executable on the processor 320. When the processor 320 executes the computer program 311, the following steps are implemented: 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 respectively the data detected by multiple hydrogen sensors; the multiple hydrogen sensors are hydrogen sensors with multiple different working principles; obtaining the component and concentration of interfering gases in the high-purity hydrogen production area, and determining multiple interference factors based on the interference degree of the interfering gas component and concentration on the multiple hydrogen sensors; determining multiple environmental compensation factors based on the influence degree of environmental data on the multiple hydrogen sensors; fusing the multiple hydrogen concentration data respectively 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 instruction to the control terminal.

[0103] Please refer to Figure 4 , Figure 4 which is an embodiment diagram of the computer-readable storage medium provided by the embodiments of the present invention. As Figure 4As shown in the figure, this embodiment provides a computer-readable storage medium 400, on which a computer program 311 is stored. When the computer program 311 is executed by a processor, the following steps are implemented: obtaining a plurality of hydrogen concentration data and environmental data based on detectors deployed in the high-purity hydrogen production area; the plurality of hydrogen concentration data are respectively the data detected by a plurality of hydrogen sensors; the plurality of hydrogen sensors are hydrogen sensors with a plurality of different working principles; obtaining the interfering gas components and concentrations in the high-purity hydrogen production area, and determining a plurality of interference factors based on the interfering gas components and concentrations and the degree of interference on the plurality of hydrogen sensors; determining a plurality of environmental compensation factors based on the degree of influence of the environmental data on the plurality of hydrogen sensors; respectively fusing the plurality of hydrogen concentration data based on the plurality of interference factors and the plurality of 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 instruction to the control terminal.

[0104] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program. The computer program 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-mentioned various methods. The method includes: obtaining a plurality of hydrogen concentration data and environmental data based on detectors deployed in the high-purity hydrogen production area; the plurality of hydrogen concentration data are respectively the data detected by a plurality of hydrogen sensors; the plurality of hydrogen sensors are hydrogen sensors with a plurality of different working principles; obtaining the interfering gas components and concentrations in the high-purity hydrogen production area, and determining a plurality of interference factors based on the interfering gas components and concentrations and the degree of interference on the plurality of hydrogen sensors; determining a plurality of environmental compensation factors based on the degree of influence of the environmental data on the plurality of hydrogen sensors; respectively fusing the plurality of hydrogen concentration data based on the plurality of interference factors and the plurality of 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 instruction to the control terminal.

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

[0106] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, 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., and includes several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of each embodiment or some parts of the embodiments.

[0107] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. And these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A safety monitoring method for high-purity hydrogen production based on intelligent sensing technology, characterized in that, Including the following steps: Based on detectors deployed in the high-purity hydrogen production area, obtain multiple hydrogen concentration data and environmental data; the multiple hydrogen concentration data are respectively the data detected by multiple hydrogen sensors; the multiple hydrogen sensors are multiple hydrogen sensors with different working principles; Obtain the components and concentrations of interfering gases in the high-purity hydrogen production area, and determine multiple interference factors based on the interference degrees of the interfering gas components and concentrations on the multiple hydrogen sensors; Determine multiple environmental compensation factors based on the influence degrees of the environmental data on the multiple hydrogen sensors; Based on the multiple interference factors and the multiple environmental compensation factors, respectively fuse the multiple hydrogen concentration data to obtain a target hydrogen concentration value; If the target hydrogen concentration value exceeds the warning threshold, send a warning signal and a warning instruction to the control terminal.

2. The safety monitoring method for high-purity hydrogen production based on intelligent sensing technology according to claim 1, wherein The determining multiple interference factors based on the interference degrees of the interfering gas components and concentrations on the multiple hydrogen sensors includes: Obtain multi-environment simulation experiment data of interfering gases from the simulation experiment database; Perform fitting processing on the multi-environment simulation experiment data to obtain the cross-sensitivity coefficients of each interfering gas to the multiple hydrogen sensors; Based on the cross-sensitivity coefficients and the gas concentrations of the corresponding interfering gases, construct an interference matrix, and update the interference matrix at regular intervals according to a preset time; Based on the preset interference factor formula, process the updated interference matrix and the interfering gas concentrations to respectively obtain the interference factors corresponding to the multiple hydrogen sensors.

3. The method for safety monitoring of high-purity hydrogen production based on intelligent sensing technology according to claim 2, wherein The processing the updated interference matrix and the interfering gas concentrations based on the preset interference factor formula to respectively obtain the interference factors corresponding to the multiple hydrogen sensors includes: Based on the updated interference matrix, determine the updated interfering gas concentrations and cross-sensitivity coefficients, and process the updated interfering gas concentrations and cross-sensitivity coefficients to obtain the comprehensive interference intensity of all interfering gases on each hydrogen sensor; Input the comprehensive interference intensity into the preset interference factor formula to obtain the interference factors corresponding to the multiple hydrogen sensors respectively; Judge the interference factors corresponding to the multiple hydrogen sensors respectively. If it is greater than zero and less than 1, determine the interference factors corresponding to the multiple hydrogen sensors respectively as the target interference factors.

4. The safety monitoring method for high-purity hydrogen production based on intelligent sensing technology according to claim 1, wherein The environmental data includes temperature data and humidity data. The determining multiple environmental compensation factors based on the influence degrees of the environmental data on the multiple hydrogen sensors includes: Based on the temperature data and the humidity data, construct a temperature-humidity interval combination, and divide the temperature-humidity interval combination according to a preset temperature-humidity interval to obtain multiple sub-intervals; Obtain the hydrogen sensor data corresponding to each sub-interval from the preset environmental experiment database; Calculate the error between the hydrogen sensor data and the standard hydrogen data to obtain the hydrogen error value corresponding to the sub-interval; Perform linear fitting on the hydrogen error values in the multiple sub-intervals to respectively obtain the temperature drift coefficient and the humidity drift coefficient; Input the temperature drift coefficient and the humidity drift coefficient into a preset environmental compensation factor formula to obtain an environmental compensation factor.

5. The safety monitoring method for high-purity hydrogen production based on intelligent sensing technology according to claim 1, characterized in that, The step of respectively 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 includes: Obtain the error between the hydrogen measurement data and the true concentration data within a preset historical time window, and calculate the historical error variance based on the error data; Determine the weight of each hydrogen sensor based on the historical error variance corresponding to each hydrogen sensor within a preset historical time window; Perform weighted fusion based on the multiple interference factors, the multiple environmental compensation factors, and the weight of each hydrogen sensor to obtain a fused hydrogen concentration estimated value; Smooth the hydrogen concentration estimated value to obtain the target hydrogen concentration value.

6. The safety monitoring method for high-purity hydrogen production based on intelligent sensing technology according to claim 5, characterized in that After obtaining the fused hydrogen concentration estimated value, calculate the difference between the measurement value of each hydrogen sensor and the hydrogen concentration estimated value to obtain the residual corresponding to each hydrogen sensor; if the residual of each hydrogen sensor exceeds 3 times the historical error standard deviation for three consecutive times, then reduce the weight of the corresponding hydrogen sensor to zero.

7. The safety monitoring method for high-purity hydrogen production based on intelligent sensing technology according to claim 1, characterized in that, The step of, if the target hydrogen concentration value exceeds the warning threshold, sending a warning signal and a warning instruction to the control terminal includes: 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 a fan control process to the control terminal; If the target hydrogen concentration value is greater than the second threshold, then send a second warning signal and a parking control process to the control terminal.

8. A safety monitoring system for high-purity hydrogen production based on intelligent sensing technology, which is applied to the safety monitoring method for high-purity hydrogen production based on intelligent sensing technology according to any one of claims 1 to 7; The high-purity hydrogen production safety monitoring system based on intelligent sensing technology includes: An acquisition module is used for: based on detectors deployed in the high-purity hydrogen production area, obtaining multiple hydrogen concentration data and environmental data; the multiple hydrogen concentration data are respectively data detected by multiple hydrogen sensors; the multiple hydrogen sensors are multiple hydrogen sensors with different working principles; A first calculation module is used for: obtaining the interfering gas components and concentrations in the high-purity hydrogen production area, and determining multiple interference factors based on the interference degrees of the interfering gas components and concentrations on the multiple hydrogen sensors; A second calculation module is used for: determining multiple environmental compensation factors based on the influence degrees of the environmental data on the multiple hydrogen sensors; A fusion module is used for: respectively 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; A warning judgment module is used for: if the target hydrogen concentration value exceeds the warning threshold, then sending a warning signal and a warning instruction to the control terminal.

9. An electronic device, comprising a memory, a processor, and a computer program stored on 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 according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the high-purity hydrogen production safety monitoring method based on intelligent sensing technology according to any one of claims 1 to 7.

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