CN112359371B - Artificial intelligence integrated control system applied to solid magnesium hydride hydrolysis hydrogen generation power generation device - Google Patents
Artificial intelligence integrated control system applied to solid magnesium hydride hydrolysis hydrogen generation power generation device Download PDFInfo
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- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 title claims abstract description 70
- 239000001257 hydrogen Substances 0.000 title claims abstract description 69
- 229910052739 hydrogen Inorganic materials 0.000 title claims abstract description 69
- FYYHWMGAXLPEAU-UHFFFAOYSA-N Magnesium Chemical compound [Mg] FYYHWMGAXLPEAU-UHFFFAOYSA-N 0.000 title claims abstract description 28
- 229910012375 magnesium hydride Inorganic materials 0.000 title claims abstract description 27
- 238000006460 hydrolysis reaction Methods 0.000 title claims abstract description 21
- 230000007062 hydrolysis Effects 0.000 title claims abstract description 20
- 239000007787 solid Substances 0.000 title claims abstract description 15
- 238000010248 power generation Methods 0.000 title claims description 32
- 238000013473 artificial intelligence Methods 0.000 title claims description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 31
- 238000007726 management method Methods 0.000 claims abstract description 19
- 230000008054 signal transmission Effects 0.000 claims abstract description 18
- 230000005540 biological transmission Effects 0.000 claims abstract description 17
- 238000013500 data storage Methods 0.000 claims abstract description 13
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 94
- 238000006243 chemical reaction Methods 0.000 claims description 47
- 239000000446 fuel Substances 0.000 claims description 29
- 238000002347 injection Methods 0.000 claims description 10
- 239000007924 injection Substances 0.000 claims description 10
- 238000005086 pumping Methods 0.000 claims description 6
- 150000002431 hydrogen Chemical class 0.000 claims description 4
- 238000001816 cooling Methods 0.000 claims description 3
- 238000007599 discharging Methods 0.000 claims description 3
- 238000010438 heat treatment Methods 0.000 claims description 3
- 239000007788 liquid Substances 0.000 claims description 3
- 238000000034 method Methods 0.000 claims description 3
- HEZMWWAKWCSUCB-PHDIDXHHSA-N (3R,4R)-3,4-dihydroxycyclohexa-1,5-diene-1-carboxylic acid Chemical compound O[C@@H]1C=CC(C(O)=O)=C[C@H]1O HEZMWWAKWCSUCB-PHDIDXHHSA-N 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 4
- 230000001105 regulatory effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 229910019440 Mg(OH) Inorganic materials 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 150000004678 hydrides Chemical class 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 229910052749 magnesium Inorganic materials 0.000 description 1
- 239000011777 magnesium Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 229910052987 metal hydride Inorganic materials 0.000 description 1
- 150000004681 metal hydrides Chemical class 0.000 description 1
- 230000010287 polarization Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000009834 vaporization Methods 0.000 description 1
- 230000008016 vaporization Effects 0.000 description 1
Classifications
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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
-
- 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
-
- 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
- C25B15/08—Supplying or removing reactants or electrolytes; Regeneration of electrolytes
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M8/00—Fuel cells; Manufacture thereof
- H01M8/06—Combination of fuel cells with means for production of reactants or for treatment of residues
- H01M8/0606—Combination of fuel cells with means for production of reactants or for treatment of residues with means for production of gaseous reactants
- H01M8/065—Combination of fuel cells with means for production of reactants or for treatment of residues with means for production of gaseous reactants by dissolution of metals or alloys; by dehydriding metallic substances
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/30—Hydrogen technology
- Y02E60/50—Fuel cells
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- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Electrochemistry (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Metallurgy (AREA)
- Materials Engineering (AREA)
- Organic Chemistry (AREA)
- Inorganic Chemistry (AREA)
- Automation & Control Theory (AREA)
- Life Sciences & Earth Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- General Chemical & Material Sciences (AREA)
- Fuel Cell (AREA)
Abstract
The invention relates to the technical field of hydrogen generating devices and discloses an artificial intelligent integrated control system applied to a solid magnesium hydride hydrolysis hydrogen generating device, wherein the control system comprises an artificial intelligent control management module, a Zigbee signal transmission module, a Zigbee gateway module, a cloud data storage module, a multi-channel sensor signal acquisition and transmission module and a wireless control module, wherein the artificial intelligent control management module, the Zigbee signal transmission module, the Zigbee gateway module, the cloud data storage module, the multi-channel sensor signal acquisition and transmission module and the wireless control module are established by taking a fuzzy control rule as an algorithm, and the multi-channel sensor signal acquisition and transmission module is connected with a state monitoring sensor of the hydrogen generating device to obtain the running state of the hydrogen generating device; the signal input end of the Zigbee signal transmission module is connected with the multi-channel sensor signal acquisition transmission module, and the signal output end of the Zigbee signal transmission module is connected with the artificial intelligent control management module; the output end of the artificial intelligent control management module is connected with the input end of the wireless switching value control module; the intelligent control system is high in intelligent degree and convenient to use.
Description
Technical Field
The invention relates to the technical field of hydrogen generation devices, in particular to an artificial intelligent integrated control system applied to a solid magnesium hydride hydrolysis hydrogen generation power generation device.
Background
With the increasing maturity of the technology of fuel cells, the supply and storage of hydrogen, one of the fuels, is also attracting attention. Compared with the modes of compressing hydrogen into high-pressure gas for storage and the like, the mode of storing hydrogen by taking metal hydride generated by taking active metal as a matrix has the advantages of large hydrogen storage proportion per unit volume, stable chemical property at normal temperature and the like.
In patent application No. 202010333131.7, an apparatus for producing hydrogen by a water-splitting reaction of magnesium-based hydride and supplying the produced hydrogen to a fuel cell to generate electric power is proposed. The chemical reaction formula is as follows: the reaction is exothermic.
MgH 2 +2H 2 O→Mg(OH) 2 +2H2ΔH＝-268J/mol……(1)
In the above-mentioned hydrogen-generating power generation device, solid magnesium hydride is stored in a reaction chamber in a granular form, and in order to generate controllable and continuous hydrogen gas, water is pumped from a water storage tank to the reaction chamber by a water pump periodically and intermittently, a water drain pipeline which is opened and closed by an electromagnetic valve is arranged at the bottom of the reaction chamber, when the water quantity in the chamber reaches a certain value, the water storage tank is pumped back by a water pump at the bottom, and the generated hydrogen gas is sent into a fuel cell to be used as a raw material for power generation operation.
The hydrogen generating device utilizing magnesium hydride hydrolysis can safely operate, and the temperature, hydrogen pressure and the like of the system must be ensured to be maintained in a safe and controllable range. If only the conventional control strategy is adopted, such as determining the water injection period, water injection amount, output power of the fuel cell and the like of a single reaction chamber according to the past experience, not only the hydrogen generation and power generation efficiency of the system is low, but also the heat released by the reaction is accumulated rapidly along with the increase of the residual water amount in the reaction chamber, the decomposition speed of magnesium hydride is accelerated by the increase of the temperature, the pressure of the reaction chamber body is also increased rapidly, and the hydrogen generation rate is unstable due to the interaction, so that the stability of the output power of the fuel cell is affected. And in the middle and later stages of the reaction, if the temperature of the wall of the reaction chamber is higher than 200 ℃ due to improper operation, the pressure is suddenly increased due to rapid vaporization of water in the chamber body, and the water vapor and the hydrogen are not discharged timely, so that the risk of explosion of the chamber can occur. Therefore, the invention needs to judge the reaction state of the cabin and the hydrogen generation condition according to the acquired signals of the temperature, the hydrogen pressure and other sensors, so as to determine the optimal working parameters of the hydrogen generation power generation device, and the invention can be expanded to other devices for hydrogen production and power generation through solid magnesium hydride hydrolysis.
Disclosure of Invention
The invention provides an artificial intelligent integrated control system applied to a solid magnesium hydride hydrolysis hydrogen generation power generation device based on a solid hydrogen technology, and solves the problems that the safety and reliability of the hydrogen generation power generation device and the hydrogen generation power generation efficiency of the system are low due to the fact that the actual demand of the system cannot be judged according to a sensor signal acquired in real time in the magnesium hydride hydrolysis hydrogen generation power generation device.
In order to achieve the above purpose, the present invention provides the following technical solutions: the utility model provides an be applied to solid magnesium hydride hydrolysis hydrogen generation power generation facility's artificial intelligence integrated control system, control system include with fuzzy control rule as artificial intelligence control management module, zigbee signal transmission module, zigbee gateway module, high in the clouds data storage module, multichannel sensor signal acquisition transmission module and wireless control module that the algorithm set up, wherein:
the multi-path sensor signal acquisition and transmission module is connected with a state monitoring sensor of the hydrogen generation power generation device to obtain the running state of the hydrogen generation power generation device;
the signal input end of the Zigbee signal transmission module is connected with the multi-channel sensor signal acquisition transmission module, and the signal output end of the Zigbee signal transmission module is connected with the artificial intelligent control management module;
the output end of the artificial intelligent control management module is connected with the input end of the wireless switching value control module;
the output ends of the wireless control modules are respectively connected with an execution assembly of the hydrogen generating and generating device;
the Zigbee gateway receives the signal output by the Zigbee signal transmission module, and the Zigbee gateway outputs the signal to the cloud data storage module.
Further, the execution assembly comprises a water injection pump for pumping water to the reaction chamber, a water injection electromagnetic valve at the water inlet of the reaction chamber, a water suction pump for pumping residual water reaction water from the chamber, a water outlet electromagnetic valve at the water outlet of the reaction chamber, a hydrogen discharging electromagnetic valve for ensuring the pressure of the system to be in low pressure, a DCDC for adjusting the output power of the fuel cell, a heating device for improving the water temperature of the water storage device and a cooling device for rapidly stopping the reaction chamber.
Further, the state monitoring sensor comprises a temperature sensor for monitoring the water temperature of the water storage tank, a temperature sensor for monitoring the temperature of the cabin body of the reaction cabin, a pressure sensor for monitoring the pressure of the hydrogen gas inlet of the fuel cell, a liquid level sensor for monitoring the water level in the water storage device, a power sensor for monitoring the power generated by the fuel cell, a power sensor for monitoring the load of a user and a flow sensor for monitoring the water flow entering and exiting the reaction cabin.
Furthermore, the artificial intelligent control management module updates a knowledge base by downloading the data stored by the cloud data storage module, and optimizes a control algorithm.
Furthermore, the output end of the Zigbee gateway is connected with an LCD, so that the temperature of the reaction cabin, the hydrogen pressure value of the system and the electric power information of the system work are displayed in real time, and meanwhile, the error alarm information possibly occurring in the working process of the system device is displayed.
Compared with the prior art, the invention has the following beneficial effects:
1. the artificial intelligent comprehensive control device applied to the magnesium hydride hydrolysis hydrogen production power generation device has the advantages that the real-time reaction cabin, the fuel cell working state monitoring and the user load power state monitoring are realized, according to the real-time comparison analysis of the knowledge base of the artificial intelligent control module, the accurate water quantity, water temperature and time for injecting the water into the reaction cabin are decided, the water quantity in the reaction cabin is extracted, the output power of the fuel cell is high, the maximum hydrogen release of the magnesium hydride can be realized, and the maximum utilization of the hydrogen of the fuel cell can be realized.
2. The device can display relevant working state parameters of the solid magnesium hydride hydrolysis hydrogen production power generation device on the LCD in real time, inform users of error information and possibly wrong components or sensors, and is convenient for the users to quickly solve the problems.
3. The knowledge base in the artificial intelligent control module is updated and optimized along with the increase of the device working parameter variables in the cloud data storage module, so that the solid magnesium hydride hydrolysis hydrogen production device works more robustly and flexibly.
Drawings
FIG. 1 is a schematic diagram of the present invention;
fig. 2 is a schematic diagram of a hydrogen generating apparatus.
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.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper", "lower", "inner", "outer", "front", "rear", "both ends", "one end", "the other end", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of description of the present invention, and are not intended to indicate or imply that the apparatus or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "provided," "connected," and the like are to be construed broadly, and may be fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Referring to the drawings, the patent provides an artificial intelligent comprehensive control management system applied to a power generation device for producing hydrogen by utilizing magnesium hydride hydrolysis, which ensures that the hydrogen generation rate and the power generation power of the system are regulated in real time by the power consumption condition of an actual user and simultaneously ensures that the temperature, the pressure and the like of the system are in a safe state;
the invention relates to an artificial intelligence technology, in particular to an artificial intelligence comprehensive control system based on a magnesium hydride hydrolysis hydrogen production power generation device, which comprises an artificial intelligence control management module, a Zigbee signal transmission module, a Zigbee gateway module, a cloud data storage module, a multi-channel sensor signal acquisition and transmission module and a wireless control module, wherein the artificial intelligence control management module, the Zigbee signal transmission module, the Zigbee gateway module, the cloud data storage module, the multi-channel sensor signal acquisition and transmission module and the wireless control module are established by taking fuzzy control rules as algorithms.
The system comprises a multichannel sensor signal acquisition and transmission module, a state monitoring sensor, a Zigbee signal transmission module, an artificial intelligent control management module, a wireless switching value control module, an execution assembly and a Zigbee signal transmission module, wherein the multichannel sensor signal acquisition and transmission module is connected with the state monitoring sensor of a hydrogen generation power generation device to obtain the running state of the hydrogen generation power generation device, the state monitoring sensor comprises a temperature sensor for monitoring the water temperature of a water storage tank, a temperature sensor for monitoring the temperature of a reaction tank body, a pressure sensor for monitoring the pressure of a hydrogen gas inlet of a fuel cell, a liquid level sensor for monitoring the water level in a water storage device, a power sensor for monitoring the power generation power of the fuel cell, a power sensor for monitoring the power generation of the fuel cell, and a flow sensor for monitoring the water flow of a user load, the signal input end of the multichannel sensor is connected with the signal acquisition and transmission module, the signal output end of the Zigbee signal transmission module is connected with the artificial intelligent control management module, the output end of the artificial intelligent control management module is connected with the input end of the wireless switching value control module, the output end of the wireless control module is connected with an execution assembly of the hydrogen generation power generation device, and the execution assembly comprises a water pump to the reaction tank, a water injection pump, a water injection valve at the water inlet of the reaction tank, a water inlet, a power pump for pumping residual water from the fuel cell, a water pump at the reaction tank, a water outlet, a water pump at the water outlet is pumped from the reaction tank, a water pump is stopped from the water pump, a water pump at the water outlet of the reaction tank is cooled by the water pump, a water temperature valve, a water temperature is cooled by a water valve, a water temperature valve is cooled by a water valve, and a water valve is cooled by a water valve, and the water temperature is cooled by a water valve, and the water valve is cooled by a water valve and the temperature is cooled by the water valve.
The patent provides an artificial intelligence integrated control system for magnesium hydride hydrolysis hydrogen generation power generation technology, in order to ensure that the temperature of the water in a water storage tank, the water amount in a pumped reaction cabin, the time interval of pumping water to the reaction cabin from front to back, the adjustment of the system hydrogen pressure along with the intensity of magnesium hydride reaction, the adjustment of the output power of a fuel cell along with the generation condition of the system hydrogen, the change of the load of a user and the like are formed in a knowledge base for ensuring that the system hydrogen pressure is in an optimal working temperature, the optimal hydrogen pressure range of the fuel cell working and the fuel cell working are in a polarization curve during magnesium hydride hydrolysis reaction, and an artificial intelligence control module is established.
The preferable artificial intelligent control module determines the water quantity, water temperature and injection time of the injected reaction cabin according to the input temperature, pressure, user load power and fuel cell output power of the reaction cabin, and determines the output power of the fuel cell according to the pressure in the reaction cabin, the pressure at the hydrogen inlet of the fuel cell and the user load power; if abnormal conditions such as cabin temperature, cabin pressure and fuel cell output power value are monitored in the process, the artificial intelligent control module makes cabin cooling measures, measures such as discharging hydrogen outwards of a system device and the like, and error information is conveyed and displayed on an LCD through the Zigbee information transmission module.
The knowledge base of the artificial intelligent control module is optimized and corrected along with the data increment and update in the cloud data storage module, so that the accurate water quantity, water temperature and time of reaction cabin injection are ensured, the output power of the fuel cell is accurately adjusted along with the load change of a user and the hydrogen pressure change at the inlet of the fuel cell, the hydrogen interpretation proportion of magnesium hydride water and the hydrogen utilization rate of the fuel cell are improved, and the volume of the water storage tank is accurate; the hydrogen is indirectly interpreted as magnesium hydride water through the change rate of the hydrogen pressure of the reaction cabin and the change of the temperature of the reaction cabin body, a hydrogen flowmeter is omitted, the material cost of the hydrogen production generating device by magnesium hydride hydrolysis is reduced to a certain extent, meanwhile, the water temperature of the water storage tank is regulated according to real-time requirements by controlling the operation of the heating device in the water storage tank in real time, and the system of the control device is regulated to be cooled, started, stopped and strong or weak in real time, so that the energy consumption of the system device is reduced to a certain extent.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (4)
1. The artificial intelligence integrated control system for the solid magnesium hydride hydrolysis hydrogen generation power generation device is characterized by comprising an artificial intelligence control management module, a Zigbee signal transmission module, a Zigbee gateway module, a cloud data storage module, a multi-channel sensor signal acquisition and transmission module and a wireless control module, wherein the artificial intelligence control management module, the Zigbee signal transmission module, the Zigbee gateway module, the cloud data storage module, the multi-channel sensor signal acquisition and transmission module and the wireless control module are established by taking a fuzzy control rule as an algorithm, wherein:
the multi-path sensor signal acquisition and transmission module is connected with a state monitoring sensor of the hydrogen generation power generation device to obtain the running state of the hydrogen generation power generation device;
the signal input end of the Zigbee signal transmission module is connected with the multi-channel sensor signal acquisition transmission module, and the signal output end of the Zigbee signal transmission module is connected with the artificial intelligent control management module;
the output end of the artificial intelligent control management module is connected with the input end of the wireless control module;
the output ends of the wireless control modules are respectively connected with an execution assembly of the hydrogen generating and generating device;
the Zigbee gateway receives signals output by the Zigbee signal transmission module, and outputs the signals to the cloud data storage module;
the artificial intelligent control management module comprises a knowledge base, and updates the knowledge base by downloading the data stored by the cloud data storage module to optimize the control algorithm.
2. The artificial intelligence integrated control system applied to a solid magnesium hydride hydrolysis hydrogen generation power generation device according to claim 1, which is characterized in that: the execution assembly comprises a water injection pump for pumping water to the reaction chamber, a water injection electromagnetic valve at the water inlet of the reaction chamber, a water pump for pumping residual water reaction water from the chamber, a water outlet electromagnetic valve at the water outlet of the reaction chamber, a hydrogen discharging electromagnetic valve for ensuring the system pressure to be in low pressure, a DCDC for adjusting the output power of the fuel cell, a heating device for improving the water temperature of the water storage device and a cooling device for rapidly stopping the reaction chamber.
3. The artificial intelligence integrated control system applied to a solid magnesium hydride hydrolysis hydrogen generation power generation device according to claim 2, which is characterized in that: the state monitoring sensor comprises a temperature sensor for monitoring the water temperature of the water storage tank, a temperature sensor for monitoring the temperature of the cabin body of the reaction cabin, a pressure sensor for monitoring the pressure of the hydrogen gas inlet of the fuel cell, a liquid level sensor for monitoring the water level in the water storage device, a power sensor for monitoring the power generated by the fuel cell, a power sensor for monitoring the load of a user and a flow sensor for monitoring the water flow entering and exiting the reaction cabin.
4. The artificial intelligence integrated control system applied to a solid magnesium hydride hydrolysis hydrogen generation power generation device according to claim 1, which is characterized in that: the output end of the Zigbee gateway is connected with an LCD, so that the temperature of the reaction cabin, the hydrogen pressure value of the system and the electric power information of the system work are displayed in real time, and meanwhile, the error alarm information possibly occurring in the working process of the system device is displayed.
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| CN108520969A (en) * | 2018-04-08 | 2018-09-11 | 苏州弗尔赛能源科技股份有限公司 | A kind of on-vehicle fuel Hydrogen Controlling Device |
| CN208189710U (en) * | 2018-04-08 | 2018-12-04 | 苏州弗尔赛能源科技股份有限公司 | A kind of on-vehicle fuel Hydrogen Controlling Device |
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