CN118207587A - Remote monitoring, regulating and controlling system for hydrogen production by alkaline water electrolysis - Google Patents
Remote monitoring, regulating and controlling system for hydrogen production by alkaline water electrolysis Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 176
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 89
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 title claims abstract description 79
- 239000001257 hydrogen Substances 0.000 title claims abstract description 79
- 229910052739 hydrogen Inorganic materials 0.000 title claims abstract description 79
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 44
- 238000005868 electrolysis reaction Methods 0.000 title claims description 49
- 230000001105 regulatory effect Effects 0.000 title claims description 26
- 230000001276 controlling effect Effects 0.000 title claims description 19
- 230000005540 biological transmission Effects 0.000 claims description 238
- 238000000034 method Methods 0.000 claims description 115
- 230000008569 process Effects 0.000 claims description 105
- 238000002360 preparation method Methods 0.000 claims description 98
- 230000002159 abnormal effect Effects 0.000 claims description 53
- 230000005856 abnormality Effects 0.000 claims description 33
- 230000035772 mutation Effects 0.000 claims description 23
- 230000000694 effects Effects 0.000 claims description 19
- 238000011084 recovery Methods 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 16
- 238000004458 analytical method Methods 0.000 claims description 12
- 238000012806 monitoring device Methods 0.000 claims description 10
- 230000004044 response Effects 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 5
- 238000012913 prioritisation Methods 0.000 claims description 3
- 239000000047 product Substances 0.000 description 11
- 230000007613 environmental effect Effects 0.000 description 10
- 230000008859 change Effects 0.000 description 8
- 238000013473 artificial intelligence Methods 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 239000003792 electrolyte Substances 0.000 description 3
- 238000002474 experimental method Methods 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 230000003044 adaptive effect Effects 0.000 description 2
- 230000003631 expected effect Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 238000005904 alkaline hydrolysis reaction Methods 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 238000004171 remote diagnosis Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
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- C—CHEMISTRY; METALLURGY
- C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
- C25B—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES FOR THE PRODUCTION OF COMPOUNDS OR NON-METALS; APPARATUS THEREFOR
- C25B15/00—Operating or servicing cells
- C25B15/02—Process control or regulation
- C25B15/023—Measuring, analysing or testing during electrolytic production
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- C—CHEMISTRY; METALLURGY
- C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
- C25B—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES FOR THE PRODUCTION OF COMPOUNDS OR NON-METALS; APPARATUS THEREFOR
- C25B1/00—Electrolytic production of inorganic compounds or non-metals
- C25B1/01—Products
- C25B1/02—Hydrogen or oxygen
- C25B1/04—Hydrogen or oxygen by electrolysis of water
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- C—CHEMISTRY; METALLURGY
- C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
- C25B—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES FOR THE PRODUCTION OF COMPOUNDS OR NON-METALS; APPARATUS THEREFOR
- C25B9/00—Cells or assemblies of cells; Constructional parts of cells; Assemblies of constructional parts, e.g. electrode-diaphragm assemblies; Process-related cell features
- C25B9/60—Constructional parts of cells
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- Organic Chemistry (AREA)
- Inorganic Chemistry (AREA)
- Analytical Chemistry (AREA)
- Automation & Control Theory (AREA)
- Electrolytic Production Of Non-Metals, Compounds, Apparatuses Therefor (AREA)
Abstract
The invention belongs to the technical field of electrolytic hydrogen production regulation and control, and particularly discloses a remote monitoring regulation and control system for alkaline water electrolytic hydrogen production.
Description
Technical Field
The invention belongs to the technical field of electrolytic hydrogen production regulation and control, and particularly relates to a remote monitoring regulation and control system for alkaline water electrolytic hydrogen production.
Background
Alkaline water electrolysis hydrogen production is a common hydrogen production method, and the basic principle is to decompose water into hydrogen and oxygen by electrolysis. Various operating parameters are involved in the electrolytic hydrogen production process, and the quality of hydrogen production products can be directly influenced by the change of different operating parameters. Therefore, various operation parameters are often required to be monitored in the electrolytic hydrogen production process so as to be timely regulated and controlled, and the quality of hydrogen production products is ensured to meet the requirements.
In the prior art, some inventions related to monitoring and regulation of electrolytic hydrogen production are also disclosed in Chinese patent application publication No. CN114990631A, for example, an electrolytic hydrogen production control system based on artificial intelligence is disclosed, the operation data of the electrolytic hydrogen production system is collected by utilizing a data acquisition unit and then transmitted to an artificial intelligence unit, the artificial intelligence unit analyzes and generates a regulation command according to the input operation data, and the invention optimizes the operation parameters of the electrolytic hydrogen production system by adopting an artificial intelligence algorithm, so that the electrolytic hydrogen production system can be ensured to dynamically operate in an optimal operation interval, and the hydrogen production energy consumption is obviously reduced.
However, in order to reduce high labor cost and operation cost caused by on-site manual monitoring, remote monitoring regulation is mostly adopted, the invention is applied to remote monitoring regulation, remote transmission of operation parameters is related to the stability of network connection, the operation parameters transmitted under the condition of unstable network connection are likely to have the phenomena of transmission delay and data loss, however, the prior art does not consider the situation that the operation parameters are still acquired according to the original mode and then are transmitted immediately, the transmission mode can aggravate incomplete or inaccurate rate of the received data of a remote monitoring system to a certain extent, and operators can make wrong decisions based on inaccurate data, thereby influencing the regulation effect.
In addition, the acquisition of technological parameters in the electrolytic hydrogen production process usually depends on a sensor, but the data acquired by the sensor is not necessarily accurate, because the sensor belongs to an electronic device, the working state of the sensor can be influenced by the working environment, but the prior art directly transmits the sensor after the sensor is used for acquiring the operation parameters, lacks of abnormal recognition of the acquisition result of the sensor, and is easy to cause an operator to make error regulation and control based on the abnormal data, so that the quality of the hydrogen production product can be influenced to a certain extent.
Disclosure of Invention
In view of the above, the invention aims to provide a remote monitoring, regulating and controlling system for alkaline water electrolysis hydrogen production, which can provide accurate, timely and complete operation data for remote regulation and control.
The invention provides a remote monitoring, regulating and controlling system for alkaline water electrolysis hydrogen production, which solves the technical problems, and is realized by adopting the following technical scheme: a remote monitoring, regulating and controlling system for hydrogen production by alkaline water electrolysis, comprising: the remote transmission quality detection module is used for detecting the network transmission state of the remote monitoring platform in real time in the hydrogen production process of alkaline water electrolysis, and specifically comprises a network transmission speed, a network transmission delay rate and a network transmission packet loss rate, so that the current remote transmission quality coefficient is analyzed.
The preparation process real-time monitoring module is used for monitoring process parameters in real time by using monitoring equipment in the alkaline water electrolysis hydrogen production process.
The preparation process monitoring abnormality identification module is used for comparing the monitored process parameters with the monitoring data of the previous monitoring moment, so as to identify the preparation process monitoring abnormality.
The improvement of one of the technical schemes is as follows: the monitoring abnormality identification of the preparation process is as follows: and comparing the process parameters monitored in real time with the monitored values of the process parameters at the previous monitoring time, and calculating the mutation degree of the process parameters.
Comparing the mutation degree of the technological parameter with the reasonable mutation degree, if the mutation degree of a certain technological parameter is larger than the reasonable mutation degree, identifying that monitoring abnormality exists in the technological parameter, taking the technological parameter as an abnormal preparation process, and recording the monitoring time of the abnormal preparation process as the abnormal monitoring time.
The abnormal preparation process tracing recovery module is used for tracing the abnormal monitoring reasons of the identified abnormal preparation process and recovering the abnormal preparation process according to the abnormal monitoring reasons to obtain effective process parameters.
The remote transmission satisfaction judging module is used for acquiring the monitored effective technological parameter data quantity in real time and judging whether the remote transmission state meets the data transmission requirement or not by combining the current remote transmission quality coefficient.
The improvement of one of the technical schemes is as follows: judging whether the remote transmission state meets the data transmission requirement or not, the following process is adopted: accumulating the current monitored effective technological parameter data quantity to obtain the current required transmission data quantity, and extracting the current standard remote transmission quality coefficient from the corresponding relation between the transmission data quantity and the standard remote transmission quality coefficient in the control database according to the current required transmission data quantity.
Comparing the current remote transmission quality coefficient with the current standard-reaching remote transmission quality coefficient, if the current remote transmission quality coefficient is smaller than the current standard-reaching remote transmission quality coefficient, judging that the remote transmission state does not meet the data transmission requirement, otherwise, judging that the remote transmission state meets the data transmission requirement.
The control database is used for storing normal technological parameters of alkaline water electrolysis hydrogen production, storing allowable deviation corresponding to the technological parameters and storing the corresponding relation between the transmission data quantity and the standard remote transmission quality coefficient.
And the data transmission priority adjustment module is used for carrying out transmission priority arrangement on the monitored effective technological parameters when judging that the remote transmission state does not meet the data transmission requirement, and selecting the effective technological parameters which meet the current remote transmission quality coefficient according to the transmission priority arrangement to carry out remote transmission.
The improvement of one of the technical schemes is as follows: the transmission prioritization of the monitored effective process parameters is described in the following procedure: and obtaining the influence degree of the technological parameters on the electrolytic hydrogen production.
Comparing the monitored effective technological parameters with normal technological parameters of the alkaline water electrolysis hydrogen production process stored in a control database, and calculating the deviation degree of the technological parameters.
And comparing the monitored effective technological parameters with the effective technological parameters obtained at the adjacent previous monitoring moment, and calculating the monitoring fluctuation degree of the technological parameters.
And (3) evaluating the transmission value corresponding to each process parameter by combining the influence degree of each process parameter on the electrolytic hydrogen production with the deviation degree and the monitoring fluctuation degree.
And arranging the process parameters according to the order of the transmission value from high to low to obtain a transmission priority arrangement result.
The preparation process deviation identification module is used for comparing the remote-transmitted effective process parameters with the normal process parameters, identifying whether the preparation process is deviated or not, and recording the deviation of the preparation process.
And the remote regulation and control module is used for remotely regulating and controlling based on the deviation preparation process.
Compared with the prior art, the invention has the following beneficial effects: 1. according to the invention, the network transmission state of the remote monitoring platform is detected in real time in the hydrogen production process by alkaline water electrolysis, so that whether the remote transmission state meets the data transmission requirement is judged by combining with the monitored process parameters, and the monitored process parameters are subjected to transmission priority adjustment when the monitored process parameters do not meet the data transmission requirement, so that the targeted transmission of the monitored data under the remote monitoring regulation is realized, the adaptive transmission of the monitored data under the corresponding network transmission state can be ensured, the phenomena of transmission delay and data loss are effectively avoided, operators can obtain accurate process parameter data in time, abnormal situations can be found in time, corresponding regulation measures are taken, and the regulation effect is improved.
2. According to the invention, when the monitoring equipment is used for monitoring the process parameters in real time in the hydrogen production process by alkaline water electrolysis, the monitored data are analyzed at adjacent monitoring moments, so that the timely identification of the monitoring abnormality of the preparation process is realized, the recovery processing is carried out after the abnormality identification, the monitoring data after the recovery processing are further subjected to remote transmission, the validity and the credibility of the remote transmission data can be ensured to the maximum extent, and the remote monitoring system is helped to make an accurate regulation and control decision.
3. According to the invention, when the monitoring abnormality of the preparation process is identified, the abnormality monitoring reason of the abnormal preparation process is traced, so that recovery processing is performed according to the tracing reason, a clear processing direction can be provided for the recovery processing, the efficiency and the effect of the recovery processing are improved, and a basic guarantee can be provided for timeliness and accuracy of data transmission.
4. According to the invention, the evaluation of the remote regulation effect is increased after the remote regulation is carried out when the analysis of the preparation process based on monitoring deviates, so that the actual effect of the remote regulation can be verified, whether the regulation measures reach the expected effect or not can be determined, the actual application effect of the remote regulation can be confirmed, the remote regulation strategy and measures can be timely adjusted according to the evaluation result, the remote regulation effect of the preparation process can be further optimized, the pertinence and the accuracy of the remote regulation can be improved, and the change and the challenges in the production process can be better dealt with.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a remote monitoring, regulating and controlling system for alkaline hydrolysis hydrogen production, which comprises a remote transmission quality detection module, a preparation process real-time monitoring module, a preparation process monitoring abnormality identification module, an abnormal preparation process traceability recovery module, a remote transmission satisfaction judging module, a control database, a data transmission priority adjustment module, a preparation process deviation identification module and a remote regulating and controlling module.
The preparation process real-time monitoring module is connected with the preparation process monitoring abnormality identification module, the preparation process monitoring abnormality identification module is connected with the abnormal preparation process traceability recovery module, the remote transmission quality detection module and the abnormal preparation process traceability recovery module are both connected with the remote transmission satisfaction judgment module, the remote transmission satisfaction judgment module is connected with the data transmission priority adjustment module, the data transmission priority adjustment module is connected with the preparation process deviation identification module, the preparation process deviation identification module is connected with the remote regulation module, and the control database is respectively connected with the remote transmission satisfaction judgment module, the data transmission priority adjustment module and the preparation process deviation identification module.
The remote transmission quality detection module is used for detecting the network transmission state of the remote monitoring platform in real time in the alkaline water electrolysis hydrogen production process, and specifically comprises a network transmission speed, a network transmission delay rate and a network transmission packet loss rate, so that the current remote transmission quality coefficient is analyzed, and the specific analysis process is as follows: substituting the network transmission state detected in real time into the analysis typeObtaining the remote transmission quality coefficientIn the following、、Respectively representing the network transmission speed, the network transmission delay rate and the network transmission packet loss rate,、、Respectively representing the normal network transmission speed, the normal network transmission delay rate and the normal network transmission packet loss rate.
It should be added that the above-mentioned normal network transmission speed, normal network delay rate, and normal network packet loss rate are obtained based on the network bandwidth used by the remote monitoring platform, and in a specific embodiment, the normal network transmission speed that can be achieved by the network bandwidth of 10Mbps is about 1.25MB per second, the normal network delay rate corresponding to the network bandwidth of 10Mbps is 10ms, and the normal network packet loss rate corresponding to the network bandwidth of 10Mbps is 0.8%.
In the process of remote monitoring and regulating hydrogen production by alkaline water electrolysis, the network transmission speed, the network delay rate and the network packet loss rate are selected as the influence indexes of the remote transmission quality, and the method is mainly based on the following reasons: the network transmission speed directly affects the efficiency of data uploading and downloading. In alkaline water electrolysis hydrogen production, real-time is critical because the monitoring and control system needs to respond quickly to changes in production conditions. If the network speed is insufficient, delays in data transmission may occur, affecting the response time and processing capacity of the remote control system.
Network transmission delay refers to the time required for data to pass from a sender to a receiver. In remote monitoring regulation, low latency is critical to ensure fast response and real-time control. Particularly, for the process of alkaline water electrolysis hydrogen production, which needs high-precision control, the high delay may cause insufficient control command or feedback information, thereby affecting the efficiency and safety of the whole production process.
Network transmission packet loss refers to the phenomenon of data packet loss during data transmission. Packet loss can result in incomplete data, affecting the accuracy and integrity of the monitored data. In the monitoring and control system for hydrogen production by alkaline water electrolysis, the loss of the packet may cause the loss of key information, thereby affecting the ability of operators and an automation system to make correct decisions.
These three network parameters together affect the performance and reliability of the remote monitoring regulation system.
The preparation process real-time monitoring module is used for monitoring process parameters in real time by using monitoring equipment in the alkaline water electrolysis hydrogen production process, and concretely comprises, but not limited to, current density, voltage, electrolyte concentration, electrolysis temperature and the like, wherein the current density directly influences the speed and efficiency of an electrolysis reaction in the alkaline water electrolysis hydrogen production process, the change of the voltage can reflect the progress condition of the electrolysis reaction, the concentration of the electrolyte directly influences the speed and hydrogen production efficiency of the electrolysis reaction, and the change of the electrolysis temperature influences the conductivity and viscosity of the electrolyte so as to influence the progress of the electrolysis reaction.
The preparation process monitoring abnormality identification module is used for comparing the monitored process parameters with the monitoring data of the previous monitoring moment, so that the preparation process monitoring abnormality identification is carried out, and the specific identification process is as follows: comparing the process parameter monitored in real time with the monitored value of the process parameter at the previous monitoring moment, and calculating the mutation degree of the process parameter, wherein the calculation expression of the mutation degree is as followsComparing the mutation degree of the technological parameter with a reasonable mutation degree, wherein the reasonable mutation degree is 20% by way of example, if the mutation degree of a certain technological parameter is larger than the reasonable mutation degree, identifying that monitoring abnormality exists in the technological parameter, taking the technological parameter as an abnormal preparation process, and recording the monitoring time of the abnormal preparation process as the abnormal monitoring time.
It should be added that the reasonable mutation degree of the process parameter can be calculated by acquiring the monitoring data of adjacent monitoring moments under the condition that the monitoring equipment of the process parameter operates normally.
It will be appreciated that the analysis of the abrupt change in the values obtained at adjacent monitoring moments when performing an analysis of the monitoring anomalies of a process parameter is in view of the relatively stable process conditions that are typically maintained during normal production, meaning that the change in the process parameter is typically slow and continuous at the adjacent monitoring moments rather than abrupt and dramatic changes, which may mean that an anomaly in the system occurs when there is a large difference in the values at the adjacent monitoring moments. Abrupt changes or anomalies in the process parameter monitoring data can be aided by mutation analysis.
The abnormal preparation process traceability recovery module is used for tracing the abnormal monitoring reasons of the identified abnormal preparation process and recovering the abnormal preparation process according to the abnormal monitoring reasons to obtain effective process parameters.
The method is applied to the embodiment, and the following process is traced to the reason of abnormality monitoring the identified abnormal preparation process: and collecting preparation environment information of the electrolytic tank and operation information of target monitoring equipment at abnormal monitoring time, wherein the operation information comprises operation voltage and operation current, and the preparation environment information comprises temperature, humidity, air pressure and the like.
And marking the monitoring equipment corresponding to the abnormal preparation process as target monitoring equipment, and acquiring the model specification of the target monitoring equipment, thereby acquiring the proper environment information and rated operation information of the monitoring equipment in the working state.
Comparing the preparation environment information of the electrolytic tank with the proper environment information of the target monitoring equipment in the working state, and simultaneously comparing the operation information of the target monitoring equipment with the rated operation information of the monitoring equipment in the working state, and counting the power supply disqualification degree and the environment disqualification degree of the target monitoring equipment, wherein the statistical formula of the power supply disqualification degree is as followsIn the following、Respectively representing the operating voltage and the operating current of the target monitoring equipment at the abnormal monitoring time,、And respectively representing the rated operating voltage and the rated operating current of the target monitoring equipment, wherein the larger the operating voltage is different from the rated operating voltage, the larger the operating current is different from the rated operating current, and the larger the power supply disappropriateness is.
The statistical formula of the environment disgruity isIn the followingIndicating the production environment information of the electrolytic cell,And indicating the proper environmental information of the target monitoring equipment in the working state, wherein the greater the deviation between the preparation environmental information of the electrolytic tank and the proper environmental information of the target monitoring equipment in the working state is, the greater the environment disqualification degree is.
Comparing the electric power supply disqualification level and the environmental disqualification level of the target monitoring device with the allowable electric power supply disqualification level and the allowable environmental disqualification level, respectively, and by way of example, the allowable electric power supply disqualification level is 0.4 and the allowable environmental disqualification level is 0.5, thereby passing through the prediction modelObtaining the reason for abnormality monitoring of the abnormality preparation processIn the model、Respectively represents the allowable power supply disqualification degree and the allowable environment disqualification degree of the target monitoring equipment,The representation or the representation of the product,And wherein the allowable power supply disappropriateness and allowable environmental disappropriateness of the target monitoring device may be obtained from the instructions for use of the respective monitoring device.
It should be understood that, when tracing the cause of abnormality monitoring the identified abnormal preparation process, whether the operation state of the monitoring device is unsuitable to be used as the tracing basis is that the monitoring device belongs to an electronic device, and the normal operation of the monitoring device usually depends on stable environmental conditions and power supply, and the abnormal environmental conditions and power supply may affect the performance and accuracy of the monitoring device, thereby causing abnormality of the monitoring data. By analyzing environmental factors, whether the power supply is abnormal, it can be determined whether the performance of the monitoring device is affected, thereby identifying the root cause of the abnormality.
According to the invention, when the monitoring abnormality of the preparation process is identified, the abnormality monitoring reason of the abnormal preparation process is traced, so that recovery processing is performed according to the tracing reason, a clear processing direction can be provided for the recovery processing, the efficiency and the effect of the recovery processing are improved, and a basic guarantee can be provided for timeliness and accuracy of data transmission.
Further, the recovery processing of the abnormal preparation process is implemented as follows: if the abnormality monitoring reason of the abnormal preparation process is the failure of the target monitoring equipment, carrying out preparation process monitoring again after remotely restarting the target monitoring equipment to obtain re-monitored process parameters, and carrying out mutation degree calculation, so as to analyze whether the normal state is restored or not, and if the normal state is restored, taking the re-monitored process parameters as effective process parameters.
The method has the advantages that on the one hand, when the source tracing is carried out to obtain the abnormal monitoring reason of the abnormal preparation process as the fault of the target monitoring equipment, the remote restarting can be immediately started after the fault of the monitoring equipment is found, and the waiting for manual intervention is not needed, so that the operation of the monitoring equipment can be quickly recovered, the time of production interruption is reduced, and the production efficiency is improved; on the other hand, the remote restarting can solve the common fault problems of the foundation, such as software breakdown, network connection abnormality and temporary faults, and the equipment can be initialized and reloaded through the remote restarting, so that the equipment is restored to normal operation.
It is necessary to supplement that when the target monitoring device is not recovered to normal after remote restarting, further diagnosis can be attempted through remote connection or a remote monitoring system, the running state and error information of the device are checked, and the root cause of the problem can be more accurately determined through remote diagnosis, so that targeted processing can be performed.
If the abnormal monitoring reason of the abnormal preparation process is that the operation state is unsuitable, the preparation environment information of the electrolytic tank is remotely regulated and controlled to be in accordance with the suitable environment information of the monitoring equipment in the working state, the preparation process monitoring is carried out again to obtain the re-monitored process parameters, meanwhile, mutation degree calculation is carried out, so that whether the normal state is restored is analyzed, and if the normal state is restored, the re-monitored process parameters are used as effective process parameters.
According to the invention, when the monitoring equipment is used for monitoring the process parameters in real time in the hydrogen production process by alkaline water electrolysis, the monitored data are analyzed at adjacent monitoring moments, so that the timely identification of the monitoring abnormality of the preparation process is realized, the recovery processing is carried out after the abnormality identification, the monitoring data after the recovery processing are further subjected to remote transmission, the validity and the credibility of the remote transmission data can be ensured to the maximum extent, and the remote monitoring system is helped to make an accurate regulation and control decision.
The remote transmission satisfaction judging module is used for acquiring the monitored effective technological parameter data quantity in real time, specifically, the data quantity is the occupied space of the data, judging whether the remote transmission state meets the data transmission requirement or not by combining the current remote transmission quality coefficient, and specifically, the following processes are adopted: accumulating the current monitored effective technological parameter data quantity to obtain the current required transmission data quantity, and extracting the current standard remote transmission quality coefficient from the corresponding relation between the transmission data quantity and the standard remote transmission quality coefficient in the control database according to the current required transmission data quantity.
It should be noted that there is a certain correspondence between remote transmission quality of different data transmission amounts, because a larger data transmission amount generally needs a higher network transmission speed to ensure that data can be transmitted quickly without being blocked, and the transmission of a large data amount may be more easily affected by network interference or packet loss, so that a lower network transmission delay rate and network transmission packet loss rate are required, and the network transmission speed, the network transmission delay rate and the network transmission packet loss rate are important factors affecting the remote transmission quality, so that different data transmission amounts correspond to different required remote transmission quality, and generally, the larger the data transmission amount is, the larger the required remote transmission quality is.
Comparing the current remote transmission quality coefficient with the current standard-reaching remote transmission quality coefficient, if the current remote transmission quality coefficient is smaller than the current standard-reaching remote transmission quality coefficient, judging that the remote transmission state does not meet the data transmission requirement, otherwise, judging that the remote transmission state meets the data transmission requirement.
The control database is used for storing normal technological parameters of alkaline water electrolysis hydrogen production, storing allowable deviation corresponding to the technological parameters and storing the corresponding relation between the transmission data quantity and the standard remote transmission quality coefficient.
The corresponding relation between the transmission data quantity and the standard reaching remote transmission quality coefficient can be obtained by utilizing a test, specifically, data of different transmission data quantities are prepared, the transmission duration and the transmission integrity are guaranteed, the network transmission speed, the network transmission delay rate and the network transmission packet loss rate, which are required to be maintained by the different data transmission quantities under the guarantee of the transmission duration and the transmission integrity, are recorded through the test, the standard reaching remote transmission quality coefficient corresponding to the different transmission data quantities is calculated, and a corresponding relation between the transmission data quantity and the standard reaching remote transmission quality coefficient is constructed by utilizing a test record result, wherein the data transmission quantity is taken as an abscissa, and a change curve taking the standard reaching remote transmission quality coefficient as an ordinate is taken as the corresponding relation between the transmission data quantity and the standard reaching remote transmission quality coefficient.
The normal process parameters of the alkaline water electrolysis hydrogen production and the allowable deviation corresponding to the process parameters can be obtained from a technical manual of an alkaline water electrolysis hydrogen production system.
The data transmission priority adjustment module is used for carrying out transmission priority arrangement on the monitored effective technological parameters when judging that the remote transmission state does not meet the data transmission requirement, and selecting the effective technological parameters which meet the current remote transmission quality coefficient according to the transmission priority arrangement to carry out remote transmission.
Applying to the above embodiment, the transmission prioritization of the monitored effective process parameters is described in the following procedure: and obtaining the influence degree of the technological parameters on the electrolytic hydrogen production.
It is to be added that the influence degree of different process parameters on the electrolytic hydrogen production is different, because different processes have different effects and influence mechanisms in the electrolytic process, the influence degree of the process parameters on the electrolytic hydrogen production can be analyzed by analyzing the correlation factors of the different process parameters on the quality and the yield of the hydrogen production product, and adding the correlation factors of the quality and the yield of the hydrogen production product to obtain the influence degree of the process parameters on the electrolytic hydrogen production, wherein the analysis of the correlation factors of the different process parameters on the quality and the yield of the hydrogen production product can be seen in the following process: a series of experiments are designed, and the value of each technological parameter is strictly controlled and recorded in the experiments, so that the reliability and the repeatability of experimental results are ensured. Meanwhile, other conditions are kept as constant as possible, so that the influence of interference factors on experimental results is reduced, different technological parameters are changed in the experimental process, the quality and the yield of the hydrogen production product are collected after each experiment is finished, a scatter diagram of technological parameters constructed by taking the technological parameters as an abscissa and taking the quality and the yield of the hydrogen production product as an ordinate along with the quality and the yield of the hydrogen production product is constructed, a regression line of the scatter diagram is drawn, and the absolute value of the slope of the regression line is obtained and is used as a correlation factor of the technological parameters on the quality and the yield of the hydrogen production product.
Comparing the monitored effective technological parameters with normal technological parameters of the alkaline water electrolysis hydrogen production process stored in a control database, and calculating the deviation degree of the technological parameters, wherein the method comprises the following steps of。
Comparing the monitored effective technological parameter with the effective technological parameter obtained at the adjacent previous monitoring moment, and calculating the monitoring fluctuation degree of the technological parameter, wherein。
The degree of influence of each process parameter on the electrolytic hydrogen production is combined with the deviation degree and the monitoring fluctuation degree to evaluate the corresponding transmission value degree of each process parameter, wherein。
The greater the influence degree and the greater the deviation degree of a certain technological parameter corresponding to the electrolytic hydrogen production, the greater the monitoring fluctuation degree, the greater the transmission value degree and the greater the transmission priority. This is because the greater the extent of influence of the process parameters on the electrolytic hydrogen production, meaning that they play a more critical role in the electrolytic process. In remote transmission, the transmission priority of these parameters is also higher to ensure timely monitoring and adjustment to maintain the stability and efficiency of the production process.
The greater the deviation of the process parameters, the more likely the safety risk is increased in the electrolysis process, and for these parameters which may lead to safety risks, the priority of transmission is required, and the timely discovery and taking of measures to avoid the occurrence of accidents are required.
The greater the degree of fluctuation of the process parameters in the back and forth monitoring may mean that there is a greater variation or instability in the production process. In order to respond to these changes in time and take the necessary adjustments, it is necessary to transmit monitoring data of these parameters preferentially to ensure the stability and efficiency of the production process.
And arranging the process parameters according to the order of the transmission value from high to low to obtain a transmission priority arrangement result.
Further to the above embodiments, the selection of the effective process parameters that meet the remote transmission quality factor is described in the following procedure: and extracting the transmission data quantity which can be met by the current remote transmission quality coefficient from the corresponding relation between the transmission data quantity stored in the control database and the standard remote transmission quality coefficient according to the current remote transmission quality coefficient.
Sequentially extracting the process parameters from the transmission priority ranking result of the process parameters, accumulating the data volume of the extracted process parameters, comparing the accumulated data volume with the transmission data volume which can be met by the current remote transmission quality coefficient, stopping operation until the accumulated data volume of the extracted process parameters accords with the transmission data volume which can be met by the current remote transmission quality coefficient, and taking the extracted process parameters as effective process parameters of the remote transmission quality coefficient.
According to the invention, the network transmission state of the remote monitoring platform is detected in real time in the hydrogen production process by alkaline water electrolysis, so that whether the remote transmission state meets the data transmission requirement is judged by combining with the monitored process parameters, and the monitored process parameters are subjected to transmission priority adjustment when the monitored process parameters do not meet the data transmission requirement, so that the targeted transmission of the monitored data under the remote monitoring regulation is realized, the adaptive transmission of the monitored data under the corresponding network transmission state can be ensured, the phenomena of transmission delay and data loss are effectively avoided, operators can obtain accurate process parameter data in time, abnormal situations can be found in time, corresponding regulation measures are taken, and the regulation effect is improved.
The preparation process deviation identification module is used for comparing the remote-transmitted effective process parameters with the normal process parameters, identifying whether the preparation process is deviated or not and recording the deviation of the preparation process.
Preferably, identifying whether a deviation in the preparation process exists is accomplished as follows: the deviation calculated by combining the remotely transmitted effective process parameters with the normal process parameters of the alkaline water electrolysis hydrogen production process stored in the control database is compared with the allowable deviation, which may be 0.3 by way of example, and if the deviation of a certain effective process parameter is greater than the allowable deviation, the deviation of the preparation process is identified.
The remote control module is used for performing remote control based on the deviation preparation process.
The medium-and-long-distance regulation and control module also comprises effect analysis after long-distance regulation and control, and the specific implementation process is as follows: recording a regulation time point after remote regulation of the deviation preparation process, comparing the regulation time point with an identification time point of the deviation preparation process, and calculating remote regulation response timeliness, wherein。
The numerical value after the deviation preparation process is regulated and controlled is obtained after the deviation preparation process is regulated and controlled remotely, and is compared with the normal value, the remote regulation accuracy is calculated,。
And evaluating whether the remote control effect meets the requirements or not based on the remote control response timeliness and the remote control accuracy, specifically, comparing the remote control response timeliness and the remote control accuracy with the set effective values of the system respectively, wherein the exemplary remote control response timeliness effective value can be set to 80%, the remote control accuracy effective value can be set to 85%, and if the remote control response timeliness and the remote control accuracy do not meet the set effective values of the system, the remote control effect is evaluated to be inconsistent with the requirements.
According to the invention, the evaluation of the remote regulation effect is increased after the remote regulation is carried out when the analysis of the preparation process based on monitoring deviates, so that the actual effect of the remote regulation can be verified, whether the regulation measures reach the expected effect or not can be determined, the actual application effect of the remote regulation can be confirmed, the remote regulation strategy and measures can be timely adjusted according to the evaluation result, the remote regulation effect of the preparation process can be further optimized, the pertinence and the accuracy of the remote regulation can be improved, and the change and the challenges in the production process can be better dealt with.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (10)
1. The remote monitoring, regulating and controlling system for hydrogen production by alkaline water electrolysis is characterized by comprising the following components:
the remote transmission quality detection module is used for detecting the network transmission state of the remote monitoring platform in real time in the hydrogen production process of alkaline water electrolysis, and specifically comprises a network transmission speed, a network transmission delay rate and a network transmission packet loss rate, so that the current remote transmission quality coefficient is analyzed;
the preparation process real-time monitoring module is used for monitoring process parameters in real time by using monitoring equipment in the alkaline water electrolysis hydrogen production process;
the preparation process monitoring abnormality identification module is used for comparing the monitored process parameters with the monitoring data of the previous monitoring moment so as to identify the preparation process monitoring abnormality;
the abnormal preparation process tracing recovery module is used for tracing the abnormal monitoring reasons of the identified abnormal preparation process and recovering the abnormal preparation process according to the abnormal monitoring reasons to obtain effective process parameters;
The remote transmission satisfaction judging module is used for acquiring the monitored effective technological parameter data quantity in real time and judging whether the remote transmission state meets the data transmission requirement or not by combining the current remote transmission quality coefficient;
The control database is used for storing normal process parameters of the alkaline water electrolysis hydrogen production, storing allowable deviation corresponding to the process parameters and storing the corresponding relation between the transmission data quantity and the standard remote transmission quality coefficient;
The data transmission priority adjustment module is used for carrying out transmission priority arrangement on the monitored effective technological parameters when judging that the remote transmission state does not meet the data transmission requirement, and selecting the effective technological parameters which meet the current remote transmission quality coefficient to carry out remote transmission according to the transmission priority arrangement;
the preparation process deviation identifying module is used for comparing the remote-transmitted effective process parameters with the normal process parameters, identifying whether the preparation process is deviated or not, and recording the deviation preparation process;
And the remote regulation and control module is used for remotely regulating and controlling based on the deviation preparation process.
2. The remote monitoring, regulating and controlling system for hydrogen production by alkaline water electrolysis according to claim 1, wherein: the remote transmission quality coefficient analysis process is as follows:
substituting the network transmission state detected in real time into the analysis type Obtaining the remote transmission quality coefficient/>In/>、/>、/>Respectively representing the network transmission speed, the network transmission delay rate and the network transmission packet loss rate,/>、/>、/>Respectively representing the normal network transmission speed, the normal network transmission delay rate and the normal network transmission packet loss rate.
3. The remote monitoring, regulating and controlling system for hydrogen production by alkaline water electrolysis according to claim 1, wherein: the monitoring abnormality identification of the preparation process is realized by the following steps:
comparing the process parameters monitored in real time with the monitored values of the process parameters at the previous monitoring time, and calculating the mutation degree of the process parameters;
Comparing the mutation degree of the technological parameter with the reasonable mutation degree, if the mutation degree of a certain technological parameter is larger than the reasonable mutation degree, identifying that monitoring abnormality exists in the technological parameter, taking the technological parameter as an abnormal preparation process, and recording the monitoring time of the abnormal preparation process as the abnormal monitoring time.
4. A remote monitoring, regulating and controlling system for hydrogen production by alkaline water electrolysis as claimed in claim 3, wherein: the method comprises the following steps of:
Collecting preparation environment information of the electrolytic tank and operation information of target monitoring equipment at abnormal monitoring time, wherein the operation information comprises operation voltage and operation current;
Recording monitoring equipment corresponding to an abnormal preparation process as target monitoring equipment, and acquiring model specifications of the target monitoring equipment, thereby acquiring proper environment information and rated operation information of the monitoring equipment in a working state;
Comparing the preparation environment information of the electrolytic tank with the proper environment information of the target monitoring equipment in the working state, and simultaneously comparing the operation information of the target monitoring equipment with the rated operation information of the monitoring equipment in the working state, and counting the power supply disqualification degree and the environment disqualification degree of the target monitoring equipment, wherein the statistical formula of the power supply disqualification degree is as follows In/>、/>Respectively represent the operating voltage and the operating current of the target monitoring equipment at the abnormal monitoring time,/>、/>Respectively representing rated operating voltage and rated operating current of target monitoring equipment;
the statistical formula of the environment disgruity is In/>Representing the preparation environment information of the electrolytic cell,/>Indicating proper environment information of the target monitoring equipment in a working state;
comparing the electric power supply disqualification degree and the environment disqualification degree of the target monitoring device with the allowable electric power supply disqualification degree and the allowable environment disqualification degree respectively, thereby passing through a prediction model Obtaining the abnormality monitoring reason/>, of the abnormality preparation processIn the model/>、/>Respectively represent allowable power supply disqualification degree, allowable environment disqualification degree, and/or the like of the target monitoring equipmentRepresentation or,/>And is represented.
5. The remote monitoring, regulating and controlling system for hydrogen production by alkaline water electrolysis according to claim 4, wherein: the recovery processing of the abnormal preparation process is implemented as follows:
If the abnormality monitoring reason of the abnormal preparation process is the failure of the target monitoring equipment, carrying out preparation process monitoring again after remotely restarting the target monitoring equipment to obtain re-monitored process parameters, and carrying out mutation degree calculation so as to analyze whether the normal state is restored or not, and if the normal state is restored, taking the re-monitored process parameters as effective process parameters;
If the abnormal monitoring reason of the abnormal preparation process is that the operation state is unsuitable, the preparation environment information of the electrolytic tank is remotely regulated and controlled to be in accordance with the suitable environment information of the monitoring equipment in the working state, the preparation process monitoring is carried out again to obtain the re-monitored process parameters, meanwhile, mutation degree calculation is carried out, so that whether the normal state is restored is analyzed, and if the normal state is restored, the re-monitored process parameters are used as effective process parameters.
6. The remote monitoring, regulating and controlling system for hydrogen production by alkaline water electrolysis according to claim 1, wherein: the following procedure is used for evaluating whether the remote transmission state meets the data transmission requirement:
Accumulating the current monitored effective technological parameter data quantity to obtain the current required transmission data quantity, and extracting the current standard-reaching remote transmission quality coefficient from the corresponding relation between the transmission data quantity and the standard-reaching remote transmission quality coefficient in the control database according to the current required transmission data quantity;
Comparing the current remote transmission quality coefficient with the current standard-reaching remote transmission quality coefficient, if the current remote transmission quality coefficient is smaller than the current standard-reaching remote transmission quality coefficient, judging that the remote transmission state does not meet the data transmission requirement, otherwise, judging that the remote transmission state meets the data transmission requirement.
7. The remote monitoring, regulating and controlling system for hydrogen production by alkaline water electrolysis according to claim 1, wherein: the transmission prioritization of the monitored effective process parameters is described in the following procedures:
obtaining the influence degree of technological parameters on the electrolytic hydrogen production;
Comparing the monitored effective technological parameters with normal technological parameters of the alkaline water electrolysis hydrogen production process stored in a control database, and calculating the deviation degree of the technological parameters;
comparing the monitored effective technological parameters with the effective technological parameters obtained at the adjacent previous monitoring moment, and calculating the monitoring fluctuation degree of the technological parameters;
The degree of influence of each process parameter on the electrolytic hydrogen production is combined with the deviation degree and the monitoring fluctuation degree to evaluate the corresponding transmission value degree of each process parameter;
And arranging the process parameters according to the order of the transmission value from high to low to obtain a transmission priority arrangement result.
8. The remote monitoring, regulating and controlling system for hydrogen production by alkaline water electrolysis according to claim 7, wherein: the selection of the effective technological parameters meeting the remote transmission quality coefficient is carried out by the following steps:
Extracting the transmission data quantity which can be met by the current remote transmission quality coefficient from the corresponding relation between the transmission data quantity stored in the control database and the standard remote transmission quality coefficient according to the current remote transmission quality coefficient;
Sequentially extracting the process parameters from the transmission priority ranking result of the process parameters, accumulating the data volume of the extracted process parameters, comparing the accumulated data volume with the transmission data volume which can be met by the current remote transmission quality coefficient, stopping operation until the accumulated data volume of the extracted process parameters accords with the transmission data volume which can be met by the current remote transmission quality coefficient, and taking the extracted process parameters as effective process parameters of the remote transmission quality coefficient.
9. The remote monitoring, regulating and controlling system for hydrogen production by alkaline water electrolysis according to claim 1, wherein: the recognition of whether the preparation process deviates is realized as follows:
And comparing the deviation calculated by combining the remote-transmitted effective technological parameters with the normal technological parameters of the alkaline water electrolysis hydrogen production process stored in the control database with the allowable deviation, and if the deviation of a certain effective technological parameter is greater than the allowable deviation, identifying that the preparation process is deviated.
10. The remote monitoring, regulating and controlling system for hydrogen production by alkaline water electrolysis according to claim 1, wherein: the remote control module further comprises effect analysis after remote control, and the specific implementation process is as follows:
recording a regulation time point after remote regulation of the deviation preparation process, comparing the regulation time point with an identification time point of the deviation preparation process, and calculating remote regulation response timeliness;
obtaining a numerical value regulated by the deviation preparation process after the remote regulation of the deviation preparation process, comparing the numerical value with a normal value, and calculating the remote regulation accuracy;
and evaluating whether the remote control effect meets the requirement or not based on the remote control response timeliness and the remote control accuracy.
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