Hydrogen production and ammonia synthesis control method and system based on edge cloud cooperation method

Abstract

The embodiment of the invention provides a hydrogen production and ammonia synthesis control method and system based on an edge cloud cooperation method. The method comprises the steps that a local control side collects the real-time power generation efficiency of a power supply side and operation data of a hydrogen production and ammonia synthesis side; the local control side compares the real-time power generation efficiency with the operation data, determines an operation strategy of the hydrogen production and ammonia synthesis side based on a comparison result in combination with a pre-designed adjustment rule, and uploads the real-time power generation efficiency, the operation data and the operation strategy to the cloud control side; the cloud control side obtains historical power generation data, constructs a prediction model based on the historical power generation data, combines real-time power generation efficiency, outputs predicted power generation efficiency, outputs a power distribution optimization strategy of an operation strategy based on predicted power generation power and operation data, and transmits the power distribution optimization strategy to the local control side; and the local control side adjusts the operation power of the hydrogen production and ammonia synthesis side based on the operation strategy and the power distribution optimization strategy.

Description

Technical Field

[0001] The present invention relates to the field of fuel preparation technology, and in particular to a hydrogen production and ammonia synthesis control method and system based on an edge-cloud collaborative method. Background Art

[0002] The raw materials for the production of synthetic ammonia in my country currently include coal, natural gas, coke oven gas, petroleum and other chemical products, among which coal and natural gas account for a large proportion. However, the preparation process will produce a large amount of carbon dioxide, which is not conducive to the realization of green and low-carbon goals.

[0003] Therefore, a green and low-carbon production method has been proposed: for the production of hydrogen, the process of generating hydrogen from renewable energy is adopted. The hydrogen production electrolyzer uses electricity from renewable energy to generate hydrogen based on the principle of electrolysis of water; for the production of nitrogen, the principle of pressure swing adsorption can be directly used to compress air and separate nitrogen from it. After hydrogen and nitrogen are mixed, gaseous ammonia is generated under high temperature and high pressure conditions based on the Haber-Bosch process. The gaseous ammonia is liquefied through the condenser and becomes liquid ammonia; and the remaining hydrogen and nitrogen mixture after separating ammonia can be sent to the reaction device for recycling again.

[0004] However, in the prior art, considering the intermittent and volatile nature of power generated by renewable energy, the power values ​​vary significantly within a day, which will affect the working power and operation mode of other equipment in the system, thereby affecting the entire production process. Summary of the invention

[0005] In response to the problems existing in the prior art, an embodiment of the present invention provides a hydrogen production and ammonia synthesis control method and system based on the edge-cloud collaborative method.

[0006] The embodiment of the present invention provides a hydrogen production and ammonia synthesis control method based on an edge-cloud collaborative method, which is applied to an edge-cloud collaborative system, including: a cloud control side, a local control side, a power supply side, and a hydrogen production and ammonia synthesis side; The local control side collects the real-time power generation efficiency of the power supply side, as well as the operation data of the hydrogen production and ammonia synthesis sides; The local control side compares the real-time power generation efficiency with the operation data, determines the operation strategy of the hydrogen production and ammonia synthesis side based on the comparison result and in combination with the pre-designed adjustment rules, and uploads the real-time power generation efficiency, operation data and operation strategy to the cloud control side; The cloud control side acquires historical power generation data, builds a prediction model based on the historical power generation data, outputs the predicted power generation efficiency in combination with the real-time power generation efficiency, outputs the power allocation optimization strategy of the operation strategy based on the predicted power generation power and operation data, and transmits the power allocation optimization strategy to the local control side; The local control side adjusts the operating power of the hydrogen production and ammonia synthesis side based on the operating strategy and power allocation optimization strategy.

[0007] In one embodiment, the operation data includes: Maximum operating power requirement, minimum operating power requirement, electrolyser power requirement, maintenance power for air separation system and ammonia synthesis system.

[0008] In one embodiment, the operation strategy includes: Operation strategy 1: when the real-time power generation efficiency is greater than the maximum power demand, the hydrogen production and ammonia synthesis side operates at rated power to collect excess hydrogen; Operation strategy 2: When the real-time power generation is less than the maximum operating power demand and greater than the power demand of the electrolyzer, the air separation system and the ammonia synthesis system operate at rated power, and the remaining power is used for the electrolyzer to collect excess hydrogen; Operation strategy 3: when the real-time power generation is less than the power demand of the electrolyzer and greater than the maintenance power of the air separation system and the ammonia synthesis system, the air separation system and the ammonia synthesis system operate at rated power, and the remaining power is used for the electrolyzer to provide insufficient hydrogen; Operation strategy 4: when the real-time power generation is less than the maintenance power of the air separation system and the ammonia synthesis system and is greater than the minimum power requirement for operation, the air separation system and the ammonia synthesis system operate at rated power, and the electrolyzer stops working; Operation strategy 5: When the real-time power generation is less than the minimum power requirement, the air separation system and the ammonia synthesis system operate at minimum power, and the electrolyzer stops working.

[0009] In one embodiment, the method further comprises: In the operation strategy 3, when the electrolyzer cannot produce the hydrogen amount required by the air separation system and the ammonia synthesis system, the insufficient hydrogen is provided by the hydrogen storage tank.

[0010] In one embodiment, the method further comprises: In the operation strategy 4 or the operation strategy 5, when the real-time power generation is less than the required power for the operation of the air separation system and the ammonia synthesis system, power is supplemented by the hydrogen fuel cell in the hydrogen storage tank.

[0011] In one embodiment, the method further comprises: Acquire the time series of the historical power generation data, identify the periodicity and randomness characteristics in the time series, and perform differential processing on the unsteady data; A time series analysis model is determined, and the time module sequence and associated features are input into the time series analysis model for training to obtain the prediction model.

[0012] The embodiment of the present invention provides a hydrogen production and ammonia synthesis control system based on an edge-cloud collaborative method, which is applied to an edge-cloud collaborative system, including: a cloud control side, a local control side, a power supply side, and a hydrogen production and ammonia synthesis side; A data acquisition module, used for the local control side to collect the real-time power generation efficiency of the power supply side, as well as the operating data of the hydrogen production and ammonia synthesis sides; A local control module, used for the local control side to compare the real-time power generation efficiency with the operation data, determine the operation strategy of the hydrogen production and ammonia synthesis side based on the comparison result and in combination with the pre-designed adjustment rules, and upload the real-time power generation efficiency, operation data and operation strategy to the cloud control side; A cloud control module is used for the cloud control side to obtain historical power generation data, build a prediction model based on the historical power generation data, output the predicted power generation efficiency in combination with the real-time power generation efficiency, output the power allocation optimization strategy of the operation strategy based on the predicted power generation power and operation data, and transmit the power allocation optimization strategy to the local control side; An adjustment module is used for the local control side to adjust the operating power of the hydrogen production and ammonia synthesis side based on the operating strategy and power allocation optimization strategy.

[0013] In one embodiment, the method further comprises: An operation strategy 1 module is used for operating the hydrogen production and ammonia synthesis side at rated power to collect excess hydrogen when the real-time power generation efficiency is greater than the maximum power demand of operation; Operation strategy 2 module, used for when the real-time power generation is less than the maximum power demand and greater than the power demand of the electrolyzer, the air separation system and the ammonia synthesis system are operated at rated power, the remaining power is used for the electrolyzer, and excess hydrogen is collected; An operation strategy 3 module is used for operating the air separation system and the ammonia synthesis system at rated power when the real-time power generation is less than the power demand of the electrolyzer and is greater than the maintenance power of the air separation system and the ammonia synthesis system, and the remaining power is used for the electrolyzer to provide insufficient hydrogen; Operation strategy 4 module, used for when the real-time power generation is less than the maintenance power of the air separation system and the ammonia synthesis system and is greater than the minimum power requirement for operation, the air separation system and the ammonia synthesis system are operated at rated power and the electrolyzer is stopped; The operation strategy 5 module is used to operate the air separation system and the ammonia synthesis system at minimum power and stop the electrolyzer when the real-time power generation power is less than the minimum power requirement.

[0014] An embodiment of the present invention provides an electronic device, including a processor and a memory; The processor is connected to the memory; The memory is used to store executable program code; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the method described in one or more embodiments.

[0015] An embodiment of the present invention provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned hydrogen production and ammonia synthesis control method based on the edge-cloud collaborative method are implemented.

[0016] In view of the above, in one or more embodiments of the present specification, the local control side collects the real-time power generation efficiency of the power supply side, as well as the operating data of the hydrogen production and ammonia synthesis side; the local control side compares the real-time power generation efficiency with the operating data, and based on the comparison results, combined with the pre-designed adjustment rules, determines the operating strategy of the hydrogen production and ammonia synthesis side, and uploads the real-time power generation efficiency, operating data and operating strategy to the cloud control side; the cloud control side obtains historical power generation data, builds a prediction model based on the historical power generation data, outputs the predicted power generation efficiency based on the real-time power generation efficiency, outputs the power allocation optimization strategy of the operating strategy based on the predicted power generation and operating data, and transmits the power allocation optimization strategy to the local control side; the local control side adjusts the operating power of the hydrogen production and ammonia synthesis side based on the operating strategy and the power allocation optimization strategy. In this way, the power of each device of the system can be allocated according to the preset working mode according to the real-time changing renewable energy power generation, making full use of wind energy and light energy resources, and ensuring the sufficient supply of hydrogen and nitrogen raw materials in the ammonia synthesis process. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 This is a flow chart of a hydrogen production and ammonia synthesis control method based on an edge-cloud collaborative method provided in an embodiment of this specification.

[0019] Figure 2 It is a schematic diagram of a process flow of wind / solar power generation hydrogen production and ammonia synthesis provided in one embodiment of this specification.

[0020] Figure 3It is a schematic diagram of an edge-cloud collaborative system provided by an embodiment of this specification.

[0021] Figure 4 It is a structural schematic diagram of a hydrogen production and ammonia synthesis control system based on an edge-cloud collaborative method provided in an embodiment of this specification.

[0022] Figure 5 It is a structural schematic diagram of an electronic device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0023] The subject matter described herein will now be discussed with reference to example embodiments. It should be understood that the discussion of these embodiments is only to enable those skilled in the art to better understand and implement the subject matter described herein, and is not a limitation of the scope of protection, applicability or examples set forth in the claims. The functions and arrangements of the elements discussed can be changed without departing from the scope of protection of the contents of this specification. Various examples can omit, replace or add various processes or components as needed. For example, the described method can be performed in an order different from the described order, and various steps can be added, omitted or combined. In addition, the features described relative to some examples can also be combined in other examples.

[0024] As used herein, the term "including" and its variations represent open terms, meaning "including but not limited to". The term "based on" means "based at least in part on". The terms "one embodiment" and "an embodiment" mean "at least one embodiment". The term "another embodiment" means "at least one other embodiment". The terms "first", "second", etc. may refer to different or the same objects. Other definitions may be included below, whether explicit or implicit. Unless the context clearly indicates otherwise, the definition of a term is consistent throughout the specification.

[0025] like Figure 1 As shown, an embodiment of the present invention provides a hydrogen production and ammonia synthesis control method based on an edge-cloud collaborative method, which is applied to an edge-cloud collaborative system, including: a cloud control side, a local control side, a power supply side, and a hydrogen production and ammonia synthesis side.

[0026] Step S101: the local control side collects the real-time power generation efficiency of the power supply side, and the operating data of the hydrogen production and ammonia synthesis sides.

[0027] Specifically, in this embodiment, the complete process flow of wind / solar power generation hydrogen production and ammonia synthesis can be as follows: Figure 2As shown, it includes: solar / wind power stations generate electricity; electrolyzers use the electricity to decompose water into hydrogen and oxygen; hydrogen is stored in hydrogen storage tanks; air separation devices extract nitrogen from the air; hydrogen and nitrogen react in ammonia synthesis devices to generate gaseous ammonia; gaseous ammonia is cooled to liquid ammonia for easy storage and transportation; hydrogen in hydrogen storage tanks can also be used in hydrogen fuel cells to generate additional electricity. The steps to achieve the process flow mainly include two major systems, namely renewable energy power generation and hydrogen production system and ammonia synthesis system. The renewable energy power generation and hydrogen production system includes wind / solar power generation equipment, electrolyzers, hydrogen storage tanks and hydrogen fuel cells, and its main purpose is to achieve hydrogen production and electricity supply; the ammonia synthesis system includes air separation, ammonia synthesis and refrigeration, and its main purpose is to achieve nitrogen supply and liquid ammonia preparation. The electricity produced by the wind / solar power generation system can be used by all equipment in the system.

[0028] During the process, the edge-cloud collaborative system can be further combined to achieve local or cloud control. The local control side in the edge-cloud collaborative system collects the real-time power generation efficiency of the power supply side and the operating data of the hydrogen production and ammonia synthesis side through sensors and monitoring equipment. The operating data may include the maximum power demand, the minimum power demand, the power demand of the electrolyzer, and the maintenance power of the air separation system and the ammonia synthesis system. Where P is the power generation power of the wind / solar power generation system; P M , P m is the maximum and minimum power requirements of the system operation, where the minimum power requirement P m The sum of the minimum power required for the operation of the air separation process and the ammonia synthesis process; P S To meet the electricity demand of stoichiometric production, that is, the electrolyzer power demand corresponding to the hydrogen output that meets the chemical reaction requirements; P R The rated power required to maintain normal operation of the air separation section and the ammonia synthesis section.

[0029] In step S102, the local control side compares the real-time power generation efficiency with the operating data, determines the operating strategy of the hydrogen production and ammonia synthesis side based on the comparison result and in combination with the pre-designed adjustment rules, and uploads the real-time power generation efficiency, operating data and operating strategy to the cloud control side.

[0030] Specifically, the local control side compares the operating data according to the current real-time power generation P, determines which working mode the system should be in according to the comparison result, and determines the operating strategy of the hydrogen production and ammonia synthesis side according to the determined working model, wherein the adjustment rules determined by the operating strategy may include: Working mode 1: P>P M, at this time, the wind / solar power generation power is greater than the maximum power required for the system production and operation, then the electrolyzer can produce hydrogen at rated power, and the air separation link and ammonia synthesis link can also produce hydrogen at rated power P R Run. m >P S , then the excess hydrogen produced by the electrolyzer is collected by the hydrogen storage tank.

[0031] Working mode 2: P M >P>P S At this time, the power generation cannot support all equipment to work at rated power. Since the hydrogen storage tank always stores a certain amount of hydrogen, the supply of nitrogen and the synthesis of ammonia must be guaranteed first in this working mode. Therefore, the air separation system and the ammonia synthesis system still work at rated power P R Operation; the remaining electricity is used for hydrogen production in the electrolyzer. Since the power supplied to the electrolyzer is still greater than P S , the amount of hydrogen produced by the electrolyzer is greater than the amount of hydrogen required for ammonia synthesis, and the excess hydrogen is still collected by the hydrogen storage tank.

[0032] Working mode 3: P S >P>P R , under the premise of giving priority to power supply to the air separation system and the ammonia synthesis system, the remaining power generation power at this time cannot ensure that the electrolyzer outputs enough hydrogen to meet the ammonia synthesis, so the insufficient hydrogen needs to be provided by the hydrogen storage tank.

[0033] Working mode 4: P R >P>P m At this time, although the power generation can ensure that all equipment in the system operates at the minimum operating power, it cannot ensure that the air separation system and the ammonia synthesis system operate at the rated power, that is, the power generation is insufficient at this time and needs to be supplemented by external power. Therefore, in order to ensure the operation of the air separation system and the ammonia synthesis system, the hydrogen stored in the hydrogen storage tank must be used for both ammonia synthesis and hydrogen fuel cell power generation to supplement the insufficient power, and the electrolyzer stops working during this period.

[0034] Working mode 5: P m >P, the power generation capacity at this time is not enough to maintain the operation of each device in the system at the minimum operating power. Therefore, the power generation capacity should first ensure that the air separation system and the ammonia synthesis system operate at the minimum operating power. The insufficient electricity needs to be supplemented by hydrogen fuel cells. The hydrogen of the hydrogen fuel cell comes from the hydrogen storage tank. At this time, the electrolyzer stops running.

[0035] After determining the operating strategies for the hydrogen production and ammonia synthesis sides, the local control side uploads the real-time power generation efficiency, operating data and operating strategies to the cloud control side, so that the cloud control side can receive the data and conduct more complex analysis and prediction to determine whether it is necessary to adjust the working mode or optimize the current power distribution.

[0036] In step S103, the cloud control side obtains historical power generation data, builds a prediction model based on the historical power generation data, outputs the predicted power generation efficiency in combination with the real-time power generation efficiency, outputs the power allocation optimization strategy of the operation strategy based on the predicted power generation power and operation data, and transmits the power allocation optimization strategy to the local control side.

[0037] Specifically, the cloud control side receives the data uploaded by the local control side, including the power generation P, the operating status of each device (such as current, voltage, temperature, pressure, etc.), the status of the hydrogen storage tank (hydrogen storage capacity), etc., cleans the uploaded data, removes outliers, and ensures data quality. Then analyze the relationship between the current power generation P and the system demand, and verify whether the operation strategy of the local control side is reasonable. Then obtain the historical power generation data, analyze the change law of the power generation, identify the periodicity and random characteristics of the power generation, and combine machine learning algorithms (such as time series analysis, neural networks, support vector machines, etc.) to build a power generation prediction model to predict future power generation trends, establish an optimization model, optimize the power allocation strategy according to the predicted power generation and system demand, and optimize the power allocation of the electrolyzer, air separation system and ammonia synthesis system according to the predicted power generation, to ensure that they can operate in the most efficient way under different power generation conditions, and transmit the power allocation optimization strategy to the local control side.

[0038] The optimization example can be as follows: Assuming the current power generation P is 500kW, the system maximum power demand P M is 800kW, the minimum power requirement P m The power demand for hydrogen production is 300kW. S The rated power P required to maintain the normal operation of the air separation and ammonia synthesis stages is 400kW. R It is 450kW.

[0039] During the data collection phase on the local control side, real-time data of power generation P=500kW is collected; The local control side detects P=500kW at P M and P S Between, it belongs to working mode 2; After uploading the data to the cloud control side, the cloud control side uses historical data to predict future power generation trends and finds that power generation may continue to rise in the next few hours. The cloud control side can make optimal power allocation decisions, including: deciding to maintain the air separation system and ammonia synthesis system at rated power P R=450kW operation, and the remaining 50kW will be allocated to the electrolyzer. It is expected that as the power generation increases, the electrolyzer will gradually increase the power until it reaches the rated power. If the power generation continues to increase beyond P M , then prepare to enter working mode 1 in advance; The cloud control side sends the power allocation optimization strategy to the local control side and waits for feedback on the execution results.

[0040] In addition, for the construction process of the prediction model, we can further obtain the time series of historical power generation data and identify the periodic characteristics (including Fourier change, spectral analysis, etc.) and random characteristics (including white noise test, stationarity test, etc.) in the time series, and perform differential processing on the non-stationary data; then determine the time series analysis model, input the time module series and related characteristics into the time series analysis model for training, complete the prediction model through model training, model evaluation, and model tuning, and deploy the prediction model to the cloud control side.

[0041] Step S104: the local control side adjusts the operating power of the hydrogen production and ammonia synthesis side based on the operating strategy and power allocation optimization strategy.

[0042] Specifically, after receiving the operating strategy and power allocation optimization strategy, the local control side executes the corresponding control actions to adjust the operating status of the equipment, such as adjusting the power of the electrolyzer, controlling the operation of the air separation system and the ammonia synthesis system, etc. After the adjustment, the execution effect can be monitored and further adjustments can be made according to the actual situation to ensure the stable operation of the system.

[0043] The embodiment of the present invention provides a method for controlling hydrogen production and ammonia synthesis based on the edge-cloud collaborative method. The local control side collects the real-time power generation efficiency of the power supply side and the operating data of the hydrogen production and ammonia synthesis side; the local control side compares the real-time power generation efficiency with the operating data, and determines the operating strategy of the hydrogen production and ammonia synthesis side based on the comparison result and the pre-designed adjustment rules, and uploads the real-time power generation efficiency, operating data and operating strategy to the cloud control side; the cloud control side obtains historical power generation data, builds a prediction model based on the historical power generation data, outputs the predicted power generation efficiency based on the real-time power generation efficiency, outputs the power allocation optimization strategy of the operating strategy based on the predicted power generation and operating data, and transmits the power allocation optimization strategy to the local control side; the local control side adjusts the operating power of the hydrogen production and ammonia synthesis side based on the operating strategy and the power allocation optimization strategy. In this way, the power of each device of the system can be allocated according to the preset working mode according to the real-time changing renewable energy power generation, and the wind energy and light energy resources are fully utilized to ensure the sufficient supply of hydrogen and nitrogen raw materials in the ammonia synthesis process.

[0044] In another embodiment, an edge-cloud collaborative system for a hydrogen production and ammonia synthesis control method based on an edge-cloud collaborative method can be as follows: Figure 3 As shown, Figure 3 It includes cloud control system, local control system and wind / solar power generation hydrogen production and ammonia synthesis system. The local and cloud can communicate with each other to realize the transmission and interaction of data and control instructions to form an edge-cloud collaborative control system, including: The local control system is used to control the system equipment and operation process locally, and is responsible for the task of collecting equipment data and uploading it to the cloud. It includes an edge computing unit, a data acquisition unit, a data transmission unit, and a local control unit. The edge computing unit is responsible for adjusting the system operation status and updating related control parameters based on the data obtained; the data acquisition unit is used to collect real-time data and transmit it to the edge computing unit and the data transmission unit; the data transmission unit is responsible for transmitting data to the cloud and receiving control instructions from the cloud; the local control unit is used to receive control parameters and instructions from the edge computing unit to control the system operation process.

[0045] The cloud control system is used to receive data from the local area in the cloud, and send control instructions to the local area based on the collected data to realize the control and management of the production operation process and equipment, including data processing unit, intelligent control unit and information storage unit. The data processing unit is responsible for receiving data information from the local area and transmitting it to the intelligent control unit and information storage unit; the intelligent control unit completes the adjustment of the system operation mode and related control parameters according to the received data, and transmits the control instructions to the local data transmission unit; the information storage unit is responsible for storing the historical operation data of the system, and uses neural network, machine learning and other technologies to extract the operation model of the production process and a single device from the data, and realizes the control of the output of each product involved in the production process.

[0046] In the process of hydrogen production and ammonia synthesis, the local control system can operate autonomously, and edge-cloud collaborative system control is also supported.

[0047] 1. Edge-cloud collaborative control mode: For the local control system, the data acquisition unit first completes data acquisition, including wind / solar power generation, operating power of each device, hydrogen production rate of the electrolyzer, hydrogen content of the hydrogen storage tank, operating status of the hydrogen fuel cell, nitrogen content, ammonia production and other data. The above data is transmitted to the data transmission unit and then transmitted to the data processing unit of the cloud control system through the data transmission unit. The data processing unit first stores these data in the information storage unit, and then transmits them to the intelligent control unit; the intelligent control unit adjusts and optimizes the operating power of each device in the system, the hydrogen distribution mode and each production process based on the preset system control requirements, and then transmits the updated control instructions and related parameter setting values ​​to the data transmission unit of the local control system, and then transmits them to the local control unit, finally realizing the overall control of the system.

[0048] 2: Autonomous local control mode: The local control mode does not need to transmit data to the cloud, but needs to rely on its own edge computing unit to achieve control requirements. First, the data acquisition module completes data collection and transmits it directly to the edge computing unit; the edge computing unit updates the operating mode and related parameter setting values ​​of each device in the system based on the collected data, and then transmits the above data and information to the local control unit, which realizes direct control of each device and operation process of the system.

[0049] See also Figure 4 , Figure 4 Schematic diagram of a hydrogen production and ammonia synthesis control system based on edge-cloud collaboration method provided in an embodiment of the present application. Figure 4 As shown, the system comprises: The data acquisition module S401 is used for the local control side to collect the real-time power generation efficiency of the power supply side, as well as the operating data of the hydrogen production and ammonia synthesis sides; The local control module S402 is used for the local control side to compare the real-time power generation efficiency with the operation data, determine the operation strategy of the hydrogen production and ammonia synthesis side based on the comparison result and in combination with the pre-designed adjustment rules, and upload the real-time power generation efficiency, operation data and operation strategy to the cloud control side; The cloud control module S403 is used for the cloud control side to obtain historical power generation data, build a prediction model based on the historical power generation data, output the predicted power generation efficiency in combination with the real-time power generation efficiency, output the power allocation optimization strategy of the operation strategy based on the predicted power generation power and operation data, and transmit the power allocation optimization strategy to the local control side; The adjustment module S404 is used for the local control side to adjust the operating power of the hydrogen production and ammonia synthesis side based on the operating strategy and power allocation optimization strategy.

[0050] In one embodiment, the hydrogen production and ammonia synthesis control system based on the edge-cloud collaborative method further includes: An operation strategy 1 module is used for operating the hydrogen production and ammonia synthesis side at rated power to collect excess hydrogen when the real-time power generation efficiency is greater than the maximum power demand of operation; Operation strategy 2 module, used for when the real-time power generation is less than the maximum power demand and greater than the power demand of the electrolyzer, the air separation system and the ammonia synthesis system are operated at rated power, the remaining power is used for the electrolyzer, and excess hydrogen is collected; An operation strategy 3 module is used for operating the air separation system and the ammonia synthesis system at rated power when the real-time power generation is less than the power demand of the electrolyzer and is greater than the maintenance power of the air separation system and the ammonia synthesis system, and the remaining power is used for the electrolyzer to provide insufficient hydrogen; Operation strategy 4 module, used for when the real-time power generation is less than the maintenance power of the air separation system and the ammonia synthesis system and is greater than the minimum power requirement for operation, the air separation system and the ammonia synthesis system are operated at rated power and the electrolyzer is stopped; The operation strategy 5 module is used to operate the air separation system and the ammonia synthesis system at minimum power and stop the electrolyzer when the real-time power generation power is less than the minimum power requirement.

[0051] Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present application can be implemented with the help of software and / or hardware. The "unit" and "module" in this specification refer to software and / or hardware that can independently complete or cooperate with other components to complete specific functions, where the hardware can be, for example, a field programmable gate array (FPGA), an integrated circuit (IC), etc.

[0052] Each processing unit and / or module of the embodiments of the present application may be implemented by an analog circuit that implements the functions described in the embodiments of the present application, or may be implemented by software that executes the functions described in the embodiments of the present application.

[0053] See also Figure 5 , which shows a schematic diagram of the structure of an electronic device involved in an embodiment of the present application, the electronic device can be used to implement Figure 1 The method in the embodiment shown. Figure 5 As shown, the electronic device 500 may include: at least one processor 501 , at least one network interface 504 , a user interface 503 , a memory 505 , and at least one communication bus 502 .

[0054] The communication bus 502 is used to realize the connection and communication between these components.

[0055] The user interface 503 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 503 may also include a standard wired interface and a wireless interface.

[0056] The network interface 504 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0057] Among them, the processor 501 may include one or more processing cores. The processor 501 uses various interfaces and lines to connect various parts of the entire electronic device 500, and executes various functions and processes data of the terminal 500 by running or executing instructions, programs, code sets or instruction sets stored in the memory 505, and calling data stored in the memory 505. Optionally, the processor 501 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 501 can integrate one or a combination of a processor (Central Processing Unit, CPU), a graphics processor (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 501, and it can be implemented separately through a chip.

[0058] Among them, the memory 505 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 505 includes a non-transitory computer-readable storage medium. The memory 505 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 505 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned method embodiments, etc.; the data storage area may store data involved in the above-mentioned method embodiments, etc. The memory 505 may also be optionally at least one storage device located away from the aforementioned processor 501. As Figure 5 As shown, the memory 505 as a computer storage medium may include an operating system, a network communication module, a user interface module, and program instructions.

[0059] exist Figure 5 In the electronic device 500 shown, the user interface 503 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 501 can be used to call the interactive application based on image generation stored in the memory 505, and specifically perform the following operations: the local control side collects the real-time power generation efficiency of the power supply side, as well as the operating data of the hydrogen production and ammonia synthesis side; the local control side compares the real-time power generation efficiency with the operating data, and based on the comparison result and combined with the pre-designed adjustment rules, determines the operating strategy of the hydrogen production and ammonia synthesis side, and uploads the real-time power generation efficiency, operating data and operating strategy to the cloud control side; the cloud control side obtains historical power generation data, builds a prediction model based on the historical power generation data, outputs the predicted power generation efficiency in combination with the real-time power generation efficiency, outputs the power allocation optimization strategy of the operating strategy based on the predicted power generation power and operating data, and transmits the power allocation optimization strategy to the local control side; the local control side adjusts the operating power of the hydrogen production and ammonia synthesis side based on the operating strategy and the power allocation optimization strategy.

[0060] The present application also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are implemented. The computer-readable storage medium may include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a micro drive, and a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.

[0061] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0062] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0063] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0064] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0065] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0066] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

[0067] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by entering a program to instruct related hardware, and the program may be stored in a computer-readable memory, which may include a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0068] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A method for controlling hydrogen production and ammonia synthesis based on edge-cloud collaboration, characterized in that: Applied to edge-cloud collaborative systems, including: cloud control side, local control side, power supply side, hydrogen production and ammonia synthesis side; The local control side collects the real-time power generation efficiency of the power supply side, as well as the operation data of the hydrogen production and ammonia synthesis sides; The local control side compares the real-time power generation efficiency with the operation data, determines the operation strategy of the hydrogen production and ammonia synthesis side based on the comparison result and in combination with the pre-designed adjustment rules, and uploads the real-time power generation efficiency, operation data and operation strategy to the cloud control side; The cloud control side acquires historical power generation data, builds a prediction model based on the historical power generation data, outputs the predicted power generation efficiency in combination with the real-time power generation efficiency, outputs the power allocation optimization strategy of the operation strategy based on the predicted power generation power and operation data, and transmits the power allocation optimization strategy to the local control side; The local control side adjusts the operating power of the hydrogen production and ammonia synthesis side based on the operating strategy and power allocation optimization strategy.

2. The method for controlling hydrogen production and ammonia synthesis based on the edge-cloud collaborative method according to claim 1 is characterized in that: The operation data includes: Maximum operating power requirement, minimum operating power requirement, electrolyser power requirement, maintenance power for air separation system and ammonia synthesis system.

3. The method for controlling hydrogen production and ammonia synthesis based on the edge-cloud collaborative method according to claim 2 is characterized in that: The operation strategy includes: Operation strategy 1: when the real-time power generation efficiency is greater than the maximum power demand, the hydrogen production and ammonia synthesis side operates at rated power to collect excess hydrogen; Operation strategy 2: When the real-time power generation is less than the maximum operating power demand and greater than the power demand of the electrolyzer, the air separation system and the ammonia synthesis system operate at rated power, and the remaining power is used for the electrolyzer to collect excess hydrogen; Operation strategy 3: when the real-time power generation is less than the power demand of the electrolyzer and greater than the maintenance power of the air separation system and the ammonia synthesis system, the air separation system and the ammonia synthesis system operate at rated power, and the remaining power is used for the electrolyzer to provide insufficient hydrogen; Operation strategy 4: when the real-time power generation is less than the maintenance power of the air separation system and the ammonia synthesis system and is greater than the minimum power requirement for operation, the air separation system and the ammonia synthesis system operate at rated power, and the electrolyzer stops working; Operation strategy 5: When the real-time power generation is less than the minimum power requirement, the air separation system and the ammonia synthesis system operate at minimum power, and the electrolyzer stops working.

4. The method for controlling hydrogen production and ammonia synthesis based on the edge-cloud collaborative method according to claim 3 is characterized in that: The method further comprises: In the operation strategy 3, when the electrolyzer cannot produce the hydrogen amount required by the air separation system and the ammonia synthesis system, the insufficient hydrogen is provided by the hydrogen storage tank.

5. The method for controlling hydrogen production and ammonia synthesis based on the edge-cloud collaborative method according to claim 3 is characterized in that: The method further comprises: In the operation strategy 4 or the operation strategy 5, when the real-time power generation is less than the required power for the operation of the air separation system and the ammonia synthesis system, power is supplemented by the hydrogen fuel cell in the hydrogen storage tank.

6. The method for controlling hydrogen production and ammonia synthesis based on the edge-cloud collaborative method according to claim 1 is characterized in that: The acquiring of historical power generation data and building a prediction model based on the historical power generation data includes: Acquire the time series of the historical power generation data, identify the periodicity and randomness characteristics in the time series, and perform differential processing on the unsteady data; A time series analysis model is determined, and the time module sequence and associated features are input into the time series analysis model for training to obtain the prediction model.

7. A hydrogen production and ammonia synthesis control system based on edge-cloud collaborative method, characterized in that: Applied to edge-cloud collaborative systems, including: cloud control side, local control side, power supply side, hydrogen production and ammonia synthesis side; A data acquisition module, used for the local control side to collect the real-time power generation efficiency of the power supply side, as well as the operating data of the hydrogen production and ammonia synthesis sides; A local control module, used for the local control side to compare the real-time power generation efficiency with the operation data, determine the operation strategy of the hydrogen production and ammonia synthesis side based on the comparison result and in combination with the pre-designed adjustment rules, and upload the real-time power generation efficiency, operation data and operation strategy to the cloud control side; A cloud control module is used for the cloud control side to obtain historical power generation data, build a prediction model based on the historical power generation data, output the predicted power generation efficiency in combination with the real-time power generation efficiency, output the power allocation optimization strategy of the operation strategy based on the predicted power generation power and operation data, and transmit the power allocation optimization strategy to the local control side; An adjustment module is used for the local control side to adjust the operating power of the hydrogen production and ammonia synthesis side based on the operating strategy and power allocation optimization strategy.

8. The hydrogen production and ammonia synthesis control system based on the edge-cloud collaborative method according to claim 7 is characterized in that: The system further comprises: An operation strategy 1 module is used for operating the hydrogen production and ammonia synthesis side at rated power to collect excess hydrogen when the real-time power generation efficiency is greater than the maximum power demand of operation; Operation strategy 2 module, used for when the real-time power generation is less than the maximum power demand and greater than the power demand of the electrolyzer, the air separation system and the ammonia synthesis system are operated at rated power, the remaining power is used for the electrolyzer, and excess hydrogen is collected; An operation strategy 3 module is used for operating the air separation system and the ammonia synthesis system at rated power when the real-time power generation is less than the power demand of the electrolyzer and is greater than the maintenance power of the air separation system and the ammonia synthesis system, and the remaining power is used for the electrolyzer to provide insufficient hydrogen; Operation strategy 4 module, used for when the real-time power generation is less than the maintenance power of the air separation system and the ammonia synthesis system and is greater than the minimum power requirement for operation, the air separation system and the ammonia synthesis system are operated at rated power and the electrolyzer is stopped; The operation strategy 5 module is used to operate the air separation system and the ammonia synthesis system at minimum power and stop the electrolyzer when the real-time power generation is less than the minimum power requirement.

9. An electronic device comprising a processor and a memory; The processor is connected to the memory; The memory is used to store executable program code; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the method according to any one of claims 1 to 6.

10. A computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the method according to any one of claims 1 to 6 when executed by a processor.

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