WO2023179380A1 - Procédé et appareil de commande d'alimentation en gaz d'un système d'alimentation en gaz - Google Patents

Procédé et appareil de commande d'alimentation en gaz d'un système d'alimentation en gaz Download PDF

Info

Publication number
WO2023179380A1
WO2023179380A1 PCT/CN2023/080794 CN2023080794W WO2023179380A1 WO 2023179380 A1 WO2023179380 A1 WO 2023179380A1 CN 2023080794 W CN2023080794 W CN 2023080794W WO 2023179380 A1 WO2023179380 A1 WO 2023179380A1
Authority
WO
WIPO (PCT)
Prior art keywords
gas
pressure
control
gas supply
user
Prior art date
Application number
PCT/CN2023/080794
Other languages
English (en)
Chinese (zh)
Inventor
阎峻昆
阚翔
张志杰
尹永杰
Original Assignee
乔治洛德方法研究和开发液化空气有限公司
阎峻昆
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 乔治洛德方法研究和开发液化空气有限公司, 阎峻昆 filed Critical 乔治洛德方法研究和开发液化空气有限公司
Publication of WO2023179380A1 publication Critical patent/WO2023179380A1/fr

Links

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
    • F17C13/00—Details of vessels or of the filling or discharging of vessels
    • F17C13/02—Special adaptations of indicating, measuring, or monitoring equipment
    • F17C13/025—Special adaptations of indicating, measuring, or monitoring equipment having the pressure as the parameter
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
    • F17C13/00—Details of vessels or of the filling or discharging of vessels
    • F17C13/002—Details of vessels or of the filling or discharging of vessels for vessels under pressure
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
    • F17C13/00—Details of vessels or of the filling or discharging of vessels
    • F17C13/02—Special adaptations of indicating, measuring, or monitoring equipment
    • F17C13/026—Special adaptations of indicating, measuring, or monitoring equipment having the temperature as the parameter
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
    • F17C5/00—Methods or apparatus for filling containers with liquefied, solidified, or compressed gases under pressures
    • F17C5/06—Methods or apparatus for filling containers with liquefied, solidified, or compressed gases under pressures for filling with compressed gases
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
    • F17C7/00—Methods or apparatus for discharging liquefied, solidified, or compressed gases from pressure vessels, not covered by another subclass
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17D—PIPE-LINE SYSTEMS; PIPE-LINES
    • F17D1/00—Pipe-line systems
    • F17D1/20—Arrangements or systems of devices for influencing or altering dynamic characteristics of the systems, e.g. for damping pulsations caused by opening or closing of valves
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17D—PIPE-LINE SYSTEMS; PIPE-LINES
    • F17D3/00—Arrangements for supervising or controlling working operations
    • F17D3/01—Arrangements for supervising or controlling working operations for controlling, signalling, or supervising the conveyance of a product
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16C—SHAFTS; FLEXIBLE SHAFTS; ELEMENTS OR CRANKSHAFT MECHANISMS; ROTARY BODIES OTHER THAN GEARING ELEMENTS; BEARINGS
    • F16C2360/00—Engines or pumps
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
    • F17C2205/00—Vessel construction, in particular mounting arrangements, attachments or identifications means
    • F17C2205/03—Fluid connections, filters, valves, closure means or other attachments
    • F17C2205/0302—Fittings, valves, filters, or components in connection with the gas storage device
    • F17C2205/0352—Pipes
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
    • F17C2205/00—Vessel construction, in particular mounting arrangements, attachments or identifications means
    • F17C2205/03—Fluid connections, filters, valves, closure means or other attachments
    • F17C2205/0388—Arrangement of valves, regulators, filters
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
    • F17C2221/00—Handled fluid, in particular type of fluid
    • F17C2221/01—Pure fluids
    • F17C2221/011—Oxygen
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
    • F17C2221/00—Handled fluid, in particular type of fluid
    • F17C2221/01—Pure fluids
    • F17C2221/014—Nitrogen
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
    • F17C2221/00—Handled fluid, in particular type of fluid
    • F17C2221/01—Pure fluids
    • F17C2221/016—Noble gases (Ar, Kr, Xe)
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
    • F17C2250/00—Accessories; Control means; Indicating, measuring or monitoring of parameters
    • F17C2250/01—Intermediate tanks
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
    • F17C2250/00—Accessories; Control means; Indicating, measuring or monitoring of parameters
    • F17C2250/03—Control means
    • F17C2250/032—Control means using computers

Definitions

  • the present application relates to process control and, more particularly, to methods, apparatus and systems for controlling a gas supply such as a gas buffer device in a gas supply system.
  • a gas supply system including an Air Separate Unit (ASU) is used to supply gas to users in a factory or industrial park. According to the user's demand or consumption of gas, the system dynamically adjusts the gas supply load of the buffer tank used to store gas to meet the user's gas demand.
  • ASU Air Separate Unit
  • the operator needs to pay attention to the peak or valley value of the gas pressure in the buffer tank continuously (for example, 24 hours a day), and adjust the air intake volume of the buffer tank based on experience. For example, if the pressure peak becomes higher, it indicates that the user's gas demand becomes smaller, and the gas supply of the air separation device to the buffer tank can be manually reduced accordingly; while if the pressure peak becomes lower, it indicates that the gas demand becomes larger, and the air separation device needs to be manually increased accordingly. Gas supply to buffer tank.
  • embodiments of the present application propose methods, devices and systems for controlling gas supply.
  • the gas supply system includes a gas generating device and a gas buffering device.
  • the gas buffering device receives the gas supply from the gas generating device and provides a gas supply to a user.
  • Gas the method includes: obtaining pressure measurement data of the gas buffer device, the pressure measurement data is associated with the user's gas demand in the previous gas consumption cycle; determining pressure prediction data of the gas buffer device based on the pressure measurement data, wherein the pressure prediction data The data includes predicted pressure and predicted pressure change rate; and control parameters for gas supply of the gas buffer device are determined based on the pressure prediction data.
  • a device for controlling gas supply of a gas supply system includes a gas generating device and a gas buffering device.
  • the gas buffering device receives the gas supply from the gas generating device and supplies the gas to the user.
  • the device includes: a detection unit configured to obtain pressure measurement data of the gas buffer device, the pressure measurement data being associated with the user's gas demand in a previous gas consumption cycle; a control unit configured to obtain pressure measurement data based on the pressure measurement data.
  • the data determines pressure prediction data of the gas buffer device and determines control parameters of gas supply of the gas buffer device based on the pressure prediction data, wherein the pressure prediction data includes a predicted pressure and a predicted pressure change rate.
  • a computer-readable storage medium with a computer program stored thereon.
  • the computer program includes executable instructions.
  • the executable instructions are executed by a processor, the method as described above is implemented. .
  • an electronic device includes a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute the executable instructions to implement the method as described above.
  • a gas supply system which at least includes a gas generating device, a gas buffering device, and a device for controlling the gas supply of the gas supply system as described above.
  • the method, equipment, system and computer storage medium for controlling the gas supply of the gas supply system proposed in this application can realize the user's gas demand and/or based on big data and Advanced Process Control (APC, Advanced Process Control) technology. Or the gas supply in application scenarios with severe fluctuations in consumption, especially the predictive control of the automatic gas supply load in the process of the gas generation device providing gas to the gas buffer device.
  • API Advanced Process Control
  • the system state of the gas supply system at the next sampling interval or time and its changing trend can be predicted, and after comparison with the control constraints as a reference, the requirements for the gas supply system, especially for storing gas provided to users, can be determined.
  • Control parameters related to the gas supply of the gas buffer device and the gas production of the gas generating device can be determined.
  • This automated load prediction control scheme can significantly reduce manual operation time and thereby reduce labor/time costs, while accurately predicting and tracking users' gas demand, significantly reducing waste and costs caused by the vaporization of vented gas products and liquid products.
  • the solution of this application is replicable and can be easily applied to other scenarios with similar needs.
  • FIG. 1 is a schematic block diagram of a gas supply system architecture for supplying gas according to one embodiment of the present application.
  • Figure 2 is a historical data curve of a user's gas demand according to an embodiment of the present application.
  • Figure 3 is a historical data curve of a user's gas demand according to an embodiment of the present application.
  • 4A and 4B are schematic diagrams of autoregressive analysis of historical data curves of gas demand for determining a user's gas consumption cycle according to an embodiment of the present application.
  • FIG. 5 is a schematic flowchart of control logic for controlling gas supply according to one embodiment of the present application.
  • Figure 6 is a schematic flow chart of a method for controlling gas supply according to one embodiment of the present application.
  • Figure 7 is a schematic structural block diagram of a device for controlling gas supply according to an embodiment of the present application.
  • Figure 8 is a schematic structural block diagram of a gas supply system for controlling gas supply according to an embodiment of the present application.
  • Figure 9 is a schematic structural diagram of an electronic device for controlling gas supply according to an embodiment of the present application.
  • Example embodiments will now be described more fully with reference to the accompanying drawings.
  • Example embodiments may, however, be embodied in various forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will not be construed as limited to the embodiments set forth herein. The concept is fully conveyed to those skilled in the art.
  • the dimensions of some components may be exaggerated or distorted for clarity.
  • the same reference numerals in the drawings represent the same or similar structures, and thus their detailed descriptions will be omitted.
  • FIG. 1 illustrates an exemplary architecture of a gas supply system for supplying gas to a user according to one embodiment of the present application.
  • the gas supply system 100 refers to a collection of equipment for supplying gas to gas users.
  • the gas supply system 100 marked with dotted lines may generally include a gas generating device 104 for supplying gas and for receiving gas from the gas generating device 104 As well as a gas buffer device 101 for storing and buffering gas before providing the gas to the user, a detection unit 102 for measuring the parameters and status of each device in the gas supply system 100, and realizing automatic gas supply load prediction of the gas supply system 100 and regulated control unit 103, as well as corresponding supply pipelines 101a to 101c, etc.
  • the gas generating device 104 is used to produce gas products required by gas users.
  • the gas generating device 104 may include, for example, an air separation unit (hereinafter referred to as ASU), and may also include other types of devices for generating various gas products.
  • ASU air separation unit
  • the gas products produced by the gas generating device 104 include not only oxygen, nitrogen and argon usually produced by ASU, but also various types of gas products such as hydrogen and NH3 to meet the diverse needs of different gas users.
  • the gas supply system 100 has two gas users 131 and 132 .
  • the gas supply system 100 can supply gas to a single user, or can supply gas to more users at the same time, where the number of users can also be 3, 4 or more.
  • Users 131 and 132 may be factories that are adjacent or similar in location (for example, in the same industrial park), they may be factories in different locations, or they may be different factory areas or workshops in a large factory.
  • individual gas consumers can be distinguished based on the number of separate supply lines corresponding to the consumers.
  • the ASU 104 provides the gas required by the user to the gas buffer tank 101 through the supply line 101a.
  • the gas demand of users 131 and 132 in the industrial park such as the average of the overall gas demand of multiple users, the peak of the overall gas demand, etc.
  • the gas supply capacity of a single set of ASU a single ASU or multiple ASUs can be used.
  • ASUs provide gas separation and supply functions in parallel. Typically each ASU provides the same gas separation and supply functions.
  • multiple ASUs in parallel can meet the overall gas demand of multiple users, but there is generally no strict correspondence between ASUs and users, that is, a certain An ASU or group of ASUs is not designed to meet the gas needs of a specific user.
  • the gas provided by the ASU 104 may generally include oxygen (O 2 ), nitrogen (N 2 ), argon (Ar), etc. These gases are connected to corresponding gas buffer tanks 101 through separate supply lines, thereby supplying corresponding gases to users via supply lines 101b and 101c corresponding to users 131 and 132, respectively.
  • the ASU 104 can also include a back-up system for use in the event the ASU's gas supply is insufficient. In emergency situations where household gas demand increases dramatically, liquid product vaporization is used to quickly replenish corresponding gas products. The cost of vaporizing liquid products is relatively high, so the automatic gas supply load prediction and adjustment functions of the gas supply system 100 try to avoid using this supply method.
  • the sensing device may include, for example, a flow meter that detects the gas amount and/or gas flow rate output by the ASU 104, a thermometer that detects the gas temperature, a pressure gauge that detects the gas pressure in the pipeline 101a, and the like.
  • the sensing device may be integrated into the ASU 104 or provided in the gas supply system 100 as part of or separate from the detection unit 102 .
  • the actuating device may include, for example, a valve that controls the gas flow or flow rate by adjusting the opening of the valve or valve core through electromagnetic or mechanical means.
  • the actuating device may be integrated into the ASU 104 and controlled by control components in the ASU 104 , or controlled by the control unit 103 in the gas supply system 100 .
  • the gas buffer device 101 is used to temporarily store gas from the ASU 104 and provide a buffer between the ASU 104 and the users 131 and 132.
  • the gas buffer device 101 may, for example, be implemented as a gas buffer tank (Buffer Tank) or other reaction vessel, gas container or pipeline with gas storage and buffering functions.
  • a gas buffer tank is used as a specific example of a gas buffer device below.
  • the gas buffer tank 101 can adjust the pressure, flow rate, temperature, etc. of the gas output from the gas supply pipelines 101b and 101c to the users 131 and 132 to ensure the strict requirements of the industrial reaction process of the gas users 131 and 132.
  • the gas buffer tank 101 detects the state parameters of the gas stored therein through corresponding sensors in the detection unit 102 .
  • the state parameters of the gas include, for example, pressure and temperature.
  • the pressure of the gas can be detected by a pressure sensor located inside the gas buffer tank 101 (eg on the inner wall of the container or in the container space) or located outside the gas buffer tank 101 (eg on the outer wall of the container).
  • the temperature of the gas can also be detected by a temperature sensor located inside or outside the gas buffer tank 101 .
  • an ambient temperature sensor located on or near the gas buffer tank 101 for detecting the ambient temperature of the location where the gas buffer tank 101 is located may also be provided. The ambient temperature can be used as the temperature of the gas stored in the gas buffer tank 101 .
  • Gas buffer tank 101 delivers gas to users 131 and 132 via supply lines 101b and 101c respectively.
  • corresponding sensing devices and actuating devices need to be provided on the supply pipelines 101b and 101c.
  • pipeline 101b can be provided with a flowmeter for detecting gas flow or flow rate, a manometer for detecting gas pressure, a thermometer for detecting gas temperature, and a thermometer for adjusting the opening of a valve or valve core through electromagnetic or mechanical means. Valves to control gas flow or velocity, etc.
  • sensing devices and actuating devices may be disposed on the side of the supply pipeline 101b close to the gas buffer tank 101, in the middle of the supply pipeline 101b, or on the side of the supply pipeline 101b close to the user 131.
  • the sensing device when provided on the side of the gas buffer tank 101, the sensing device can be used as a part of the detection unit 102 to facilitate the gas supply system 100 to detect the system status.
  • the actuating device is controlled by the control unit 103 of the gas supply system 100 and controls the system operation as one of the actuating or executing devices of the system.
  • the relevant parameters detected by the sensing device can more accurately characterize the gas state parameters of the user 131 when receiving the supplied gas product, and accordingly the actuating device can also more accurately control and
  • the flow or rate, temperature, and pressure of the gas delivered to user 131 are regulated.
  • the temperature in the environment where the gas supply system 100 is located is uniform, it can be considered that the temperature of the gas in the gas buffer tank 101 and the supply pipelines 101b and 101c can be represented by the ambient temperature, thereby reducing the number of temperature sensors.
  • the parameters detected by the sensing device and the control or regulating parameters of the actuating device (such as the opening of the valve) of the gas supplied from the ASU 104 and the gas output to the users 131 and 132 are regarded as the inlet side of the gas buffer tank 101 and If the gas state parameters and control parameters on the outlet side are detected, the detection device 102 can obtain the main system status of the gas supply system 100 by detecting various parameters related to the gas buffer tank 101, as shown in Figure 1 from the gas buffer tank 101 to the detection unit 102.
  • control unit 103 can provide state control and adjustment of the gas buffer tank 101 by respectively controlling the operating parameters of each actuating device related to the gas buffer tank 101, thereby realizing automatic load prediction of the gas supply of the gas supply system 100. and regulation.
  • different gas buffer tanks 101 may be provided for different types of gases, and one or more gas buffer tanks 101 may be provided for the same type of gas.
  • Gas buffer tanks 101 storing gases of the same type may be connected in parallel or in series.
  • a supply pipeline 101 b that provides gas from a plurality of gas buffer tanks 101 of a type gas to a user such as the user 131 may be a general supply pipeline that collects supply pipeline branches from these gas buffer tanks 101 .
  • the sensing device and the actuating device may be provided on the respective general supply lines 101b and 101c supplying gas from the gas buffer tank 101 to the users 131 and 132 .
  • one or more gas buffer tanks 101 storing the same type of gas are represented in the form of a single gas buffer tank 101. For example, it can be assumed that these gas buffer tanks 101 have the same temperature, pressure, and other state parameters to facilitate system analysis and solution description.
  • the control unit 103 obtains the system status parameters from the detection unit 102 , especially the measurement data of the system status parameters related to the gas buffer tank 101 .
  • system status parameters include, for example, the pressure and temperature of the gas stored in the gas buffer tank 101, the flow rate or flow rate of the gas entering the gas buffer tank 101 from the ASU 104, the flow rate or flow rate of the gas output from the gas buffer tank 101 to the users 131 and 132, or Flow rate etc.
  • the control unit 103 may also obtain the user's gas demand data from the users 131 and 132 .
  • the user's gas demand data can be measured by sensing devices (such as flow meters close to the user side) provided on the supply pipelines 101b and 101c, or can be provided by users 131 and 132 (for example, from users 131 and 132 in Figure 1 132 to the control unit 103 (shown by the dashed arrow).
  • the gas demand data may be input into the control unit 103 by the detection unit 102 or the user, for example, in the form of a historical data curve of gas demand/consumption, or the control unit 103 may be based on measurement data from the detection unit 102 or the users 131 and 132 or Input data generation for user requirements.
  • the measurement data of the system state parameters detected by the detection unit 102 not only include sampling data acquired at the current sampling time or interval, but may also include a previous time or interval, or a collection of sampling data accumulated within a previous period of time, the latter may be referred to as Historical data of sampled data or measurement data at a historical time or during a historical interval.
  • the gas demand data from users 131 and 132 also includes not only gas demand data obtained at the current sampling time or interval, but also may include a collection of gas demand data accumulated at a previous time or interval, or a previous period of time, the latter This may accordingly be referred to as historical data of a user's gas demand at historical times or during historical intervals. Historical data accumulates a large amount of valuable information about the process, which can better reflect system trends than instantaneous data at a certain time or interval.
  • Table 1 gives an exemplary flow distribution table of the gas demand of users in the industrial park during a certain period of time, where the supplied gas is gaseous oxygen in standard cubic meters (Nm 3 ) or standard cubic meters per hour. (Nm 3 /h).
  • Table 2 gives an exemplary flow distribution table of the gas supply system using three sets of ASUs (ASU1 to ASU3) to provide gas supply that meets the overall oxygen demand from users A to C during this period of time.
  • ASU1 to ASU3 the gas supply of ASU1 to 3 is used to meet the overall oxygen demand of the three users, that is, the total amount of gas supply meets the total oxygen demand of the users.
  • the ASU may produce more gas than the users require and cause the gas pressure in the gas buffer tank 101 and supply lines 101a to 101c to be too high.
  • the gas supply system 100 needs to discharge or even vent the excess gas in the gas buffer tank 101, causing the gas products produced by the ASU to be wasted. This situation has a greater negative impact when user demand drops strongly in an instant or within a short period of time. If ASU's gas product production speed cannot meet the user's instantaneous or short-term strong increase, in order to ensure the gas supply flow or flow rate required by the user's reaction process, the liquid gas product must be vaporized by the ASU 104's backup system to quickly replenish it.
  • F in is the gas flow rate entering the gas buffer tank 101
  • F out is the gas flow rate leaving the gas buffer tank 101 .
  • F in and F out can use two flow sensing devices (such as flow meters) located on the gas inlet side and the outlet side of the gas buffer tank 101 to detect the gas flow rate under the standard state. get;
  • ⁇ is the gas density
  • ⁇ s is the gas density under the standard state
  • t is the instantaneous time
  • R is the gas constant
  • P is the pressure of the gas, which can be detected by a pressure sensor located inside or outside the gas buffer tank 101. It is assumed here that the pressure of the gas buffer tank 101 (including multiple gas buffer tanks connected in parallel or in series) is evenly distributed;
  • T is the temperature of the gas, which is detected by a temperature sensor located inside or outside the gas buffer tank 101 .
  • the ambient temperature of the location where the gas buffer tank 101 is located may be used as the temperature of the gas in the formula. Assume that the gas temperature or ambient temperature during the gas supply process of interest (e.g., 30 minutes, 1 hour or longer) is constant, that is, T is constant;
  • M is the molar mass of gas (oxygen).
  • the pressure change rate dP/dt of the gas in the gas buffer tank 101 is used to reflect the deviation between the user's gas (oxygen) consumption and the gas supply of the ASU 104, that is, a direct indicator to predict the user's gas demand trend.
  • the parameter dP/dt can be used as one of the key prediction parameters of the gas demand trend.
  • the user's gas demand trend can be accurately predicted, providing a theoretical basis for the gas supply load of the ASU 104 to accurately track the user's gas demand trend. support.
  • Determining the gas supply strategy requires determining the user's gas consumption cycle.
  • the control unit 103 first obtains gas demand/consumption data continuously collected (for example, collected from users 131 and 132 respectively) at a predetermined sampling time interval (for example, 15 seconds, 30 seconds, 1 minute, 5 minutes or longer time intervals).
  • the historical data of gas demand/consumption data may adopt a historical data set of gas demand data provided from the user 131 or 132 or from a sensing device (eg, a flow meter) on the supply pipeline close to the user side. .
  • Figures 2 and 3 respectively show the historical gas demand of user A in different time periods in the form of historical data curves of gas demand. It can be seen that the historical data curve of user A's gas demand in the time period shown in Figure 3 shows more severe fluctuations (the flow rate changes on the vertical axis are larger) than that of this user in the time period shown in Figure 2 and occupies The main part of the influence on the gas supply load of the gas supply system 100 (the flow rate on the vertical axis and the absolute value of its change is greater).
  • autoregressive analysis can be performed on historical data curves to determine the gas consumption cycle of the user's gas demand.
  • Autoregressive analysis is suitable for quickly determining the autocorrelation characteristics of parameters with low computational complexity. Those skilled in the art can imagine that other methods can also be used to determine the user's gas consumption cycle.
  • the control unit 103 can perform autoregressive analysis on the historical data curve of each user's gas demand/consumption to obtain the gas consumption period corresponding to each user's gas demand. Determining the gas consumption cycle separately for each user can support the gas supply system 100 to formulate a gas supply strategy and automatic load adjustment plan for each gas user to obtain a more accurate gas supply effect. The control unit 103 can also change the gas consumption cycle of the user with the same or similar starting time and phase. Integrate the historical data of individual demand to determine the supply strategy and automatic load adjustment scheme for gas supply to multiple users at the same time.
  • the historical data curve of user A's gas demand (recorded as original curve y) is horizontally shifted forward or backward along the horizontal axis (time) according to the sampling time interval (for example, 30 seconds) to obtain the shifted value.
  • Curve y' perform correlation analysis on the two curves y and y', and determine the correlation (also called the degree of agreement) between the two historical gas demand data curves in time intervals with different phase differences. If there is a large correlation between two points with the same horizontal axis coordinate (time) in the two curves, the two curves have a large correlation value, otherwise they have a low correlation value. Defining the correlation value as a value between [0,1], obviously if two curves are exactly the same (i.e. not shifted in time) then they have a correlation value of 1.
  • the correlation value between the two An autoregressive correlation graph is generated as the vertical axis coordinate, as shown in Figure 4A.
  • the two curves y and The correlation value of y' reaches the peak of the maximum correlation value (sub-maximum correlation) except the maximum correlation value at the point where the abscissa is 0 (0 shift step).
  • the peak indicates the presence of a large parameter autocorrelation value at that lead shift step or the lag shift step, while the trough indicates the presence of a smaller autocorrelation value, that is, the least correlation.
  • the highest peak other than the 0 point appears once every 60 shift steps, and the correlation value of the peak is the same or basically the same, which proves that the gas demand of user A has a gas consumption period of 60 shift steps.
  • the sampling time interval in this example is 30 seconds, so the sum of the sampling time intervals of 60 shift steps is 30 minutes. From the historical data curve of user A's gas demand, it can be determined that its gas consumption period is 30 minutes.
  • Figure 4B is an autoregressive correlation graph between the original curve y and the shifted curve y' of the historical data curve of user B's gas demand. Although there are multiple peaks and troughs in the figure except for the 0 point position, the maximum peak (except for the 0 point) still appears at +-60 shift steps, so the gas consumption of user B's gas demand can be determined
  • the cycle time is 30 minutes.
  • the control unit 103 predicts the gas consumption trend of the user at a future sampling time or time interval based on the acquired historical data of the system state variables of the gas supply system in the previous user's gas consumption period. Corresponding predicted system state variables.
  • the system state variables use the gas pressure and pressure change rate of the gas buffer tank 101 analyzed and determined above.
  • the pressure measurement data of the gas buffer tank 101 in the previous gas usage cycle acquired by the detection unit 102 reflects the user's gas demand information in the gas usage cycle, or in other words, the pressure measurement data in the previous gas usage cycle is consistent with the pressure measurement data in the previous gas usage cycle. related to the user’s gas demand. Therefore, the predicted pressure and the predicted pressure change rate of the gas in the gas buffer tank 101 can be calculated based on the pressure measurement data obtained during the previous user's gas usage cycle.
  • the detection unit 102 of the gas supply system 100 acquires the gas pressure in the gas buffer tank 101 and the temperature of the gas in the gas buffer tank 101 (or ambient temperature) and its sampling time or measurement time.
  • the gas supply system 100 can also obtain measured values of gas pressure and gas temperature during other time periods.
  • the time period during which the detection unit 102 samples the gas parameters should be at least greater than or equal to a complete gas usage cycle determined above.
  • An averaging algorithm can be used to calculate the time period (such as one or more gas cycles, or greater than or equal to a complete At least one of the predicted pressure and the predicted pressure change rate during other times of the entire gas cycle). Averages can include moving averages or arithmetic averages.
  • the moving average of the measured values of the gas pressure obtained in one or more previous gas cycles or other time periods greater than or equal to a complete gas cycle can be used as the gas pressure in the future. Predicted value for time or interval. Based on the measured value of the gas pressure and the measurement time or sampling time corresponding to the measured value, the pressure change rate during the measurement time or time interval can also be calculated. The calculated multiple pressure change rates are in one or more previous gas consumption periods. The moving average of a period or other time period greater than or equal to a complete gas consumption cycle can be used as a prediction value of the gas pressure change rate at a future time or time interval.
  • the future time or time interval refers to the next control time or control time interval of the control unit 103 of the gas supply system 100, and the predicted value of the gas pressure and pressure change rate in the gas buffer tank 101 is used as the pressure at this future moment. and the expected value or control target value of the pressure change rate.
  • the control interval for the control unit 103 needs to be appropriately selected based on the sampling time or time interval of the detection unit 102 and the determined gas consumption cycle of the user. A longer control time or control time interval cannot accurately track the user's gas demand, while a shorter control time or control time interval not only increases the computing load of the control unit 103 of the gas supply system, but also causes excessive control or adjustment. Reduce the stability of the user's production process.
  • control time or time interval of the control unit 103 can be selected and fine-tuned according to the debugging results. For example, for a gas cycle of 30 minutes and a sampling interval of 30 seconds, the control time or control interval may be selected to be 1 minute, 5 minutes, or other lengths of time.
  • the temperature measurement value of the gas also needs to be considered when calculating the predicted pressure, especially the predicted pressure change rate, at least based on formula (3) to determine the predicted pressure corresponding to the gas temperature and Predict the rate of pressure change.
  • FIG. 5 shows exemplary control logic for Advanced Process Control (APC) of the gas supply system 100 .
  • APC Advanced Process Control
  • the (moving) average algorithm of the pressure change rate (dP/dt) and the pressure (P) of the gas in the gas buffer tank 101 is added to the control logic.
  • the gas consumption period used to calculate the average value is calculated based on autoregressive analysis of the user's gas demand historical data.
  • the control input 510 of the control unit 103 is the expected value of the system state variable, for example, including the pressure of the gas in the gas buffer tank 101 and the expected range of the pressure change rate, which are respectively referred to as the pressure control constraint and the pressure change rate control constraint.
  • Control constraints limit the change range of relevant system state variables, which are related to factors such as equipment parameters of the gas supply system, gas supply performance, load adjustment range, and equipment safety restrictions.
  • Control constraints can be represented by thresholds or a threshold range (also called a control band) consisting of an upper threshold and a lower threshold.
  • the pressure control constraint is the threshold range [P low , P High ] of the desired pressure P, which can be set to [2.0Mpa, 2.5Mpa], or more finely [2.05Mpa, 2.22Mpa], for example.
  • the pressure change rate control constraint is the threshold range of the desired pressure change rate dP/dt [DP low , DP high ]. For example, it can be set to [-5kPa/min, 7kPa/min], or more accurately [-5.1kPa/ min, 6.8kPa/min].
  • the output 512 of the gas supply system 100 is a system state variable adjusted by the gas supply, for example, the measured pressure and the calculated pressure change rate of the gas in the gas buffer tank 101 after control.
  • the detection unit 102 detects the system control output 512 (gas pressure P), and obtains the gas pressure and gas pressure change rate of the gas buffer tank 101 as feedback signals of the system.
  • the feedback unit 504 whose transfer function is Gm(s)
  • the processed pressure is compared with the expected pressure and pressure change rate at 521 to obtain the pressure deviation e(P). and the pressure change rate deviation e(dP), and the pressure deviation e(P) is input to the pressure controller 501, and the pressure change rate deviation e(dP) is input to the pressure change rate controller 502.
  • the pressure controller 501 as one of the strategy controllers (its transfer function is Gc_a(s)), based on the pressure control constraints, determines the first control quantity of the gas supply strategy determined by the gas pressure to indicate the gas supply of the gas supply system 100 adjustment direction.
  • control strategy is explained by taking the moving average value of pressure and pressure change rate as the predicted value of the system state variable as an example, but those skilled in the art should understand that other calculated values of pressure and pressure change rate are also applicable.
  • the moving average value of the pressure Ave_Move(P)>P high it means that the gas supply volume of the gas buffer tank 101 exceeds the user's gas demand, and the gas supply needs to be reduced to avoid wasting gas.
  • the moving average value of the pressure Ave_Move(P) ⁇ P low it represents the gas supply of the gas buffer tank 101 The amount is not enough to meet the user's gas demand, and the gas supply needs to be increased and the liquid may even need to be vaporized.
  • the moving average value of the pressure Ave_Move(P) is between P low and P high , which means that the gas supply amount of the gas buffer tank 101 meets the pressure control constraint, and the gas supply amount meets the user's gas demand.
  • the comparison result between the moving average value of pressure Ave_Move (P) and the upper and lower thresholds P high and P low actually reflects the pressure (inventory) of the remaining gas after the gas buffer tank 101 provides the user's gas demand, and is used for judgment. Whether the air supply volume of the system meets the user's air demand.
  • the first control quantity generated by the pressure controller 501 may adopt a flag quantity (flag) indicating a gas supply strategy or a gas supply adjustment direction.
  • the marker quantity can use the discrete control method to simplify the control algorithm, and it is also convenient to adjust the control strategy based on experience to obtain fast and efficient control effects.
  • -1, 0 and +1 are respectively used as the flag quantity Flag1 output by the pressure controller 501.
  • the flag amount of -1 indicates that the gas stock in the gas buffer tank 101 is too large and the gas supply needs to be reduced; 0 indicates that the gas stock in the gas buffer tank 101 can still meet the user's needs, and there is no need to adjust the current gas supply plan and the gas supply remains insufficient.
  • +1 indicates that the gas stock in the gas buffer tank 101 is insufficient, and the gas supply needs to be increased to prepare for a rapid increase in user demand in advance.
  • the output flag Flag1 of the pressure controller 501 is -1, and the moving average value of pressure Ave_Move(P) falls into the threshold range [P low , P High ]
  • the output flag quantity Flag1 of the pressure controller 501 is 0 at medium time, and the output flag quantity Flag1 of the pressure controller 501 is +1 when the moving average value of pressure Ave_Move(P) ⁇ P is low .
  • the pressure change rate controller 502 of another strategy controller determines the gas supply strategy determined by the gas pressure change rate based on the pressure change rate control constraints.
  • the second control quantity is used to indicate the adjustment direction of the gas supply of the gas supply system 100 .
  • the pressure change rate controller 502 can compensate for the hysteresis of pressure adjustment using only the pressure controller 501, and realize phase-advanced system state variable adjustment based on differential control.
  • the moving average value of the pressure change rate Ave_Move(dP/dt)>DP high it means that the gas flow F in entering the gas buffer tank 101 is greater than the gas flow F out leaving the gas buffer tank 101, and the gas supply exceeds the user's gas demand. The gas supply needs to be reduced to avoid wasting gas. If the moving average value of the pressure change rate Ave_Move(dP/dt) ⁇ DP low , it means that the gas flow F in entering the gas buffer tank 101 is less than the gas flow F out leaving the gas buffer tank 101 , and the gas supply is insufficient. To meet the user's gas demand, it is necessary to increase the gas supply, and may even require a backup system for liquid vaporization.
  • the moving average value of the pressure change rate Ave_Move (dP/dt) is between DP low and DP high , it means that the gas flow F in entering the gas buffer tank 101 and the gas flow F out leaving the gas buffer tank 101 are basically balanced.
  • the comparison result of the moving average value of the pressure change rate Ave_Move (dP/dt) with DP high and DP low actually reflects whether the gas production volume or production speed (gas flow rate or flow rate) of the upstream gas separation unit ASU meets the downstream requirements.
  • the gas consumption or consumption speed (flow or flow rate) of the gas device (user) that is, the consideration of the change speed of gas consumption, is used to determine whether the system's gas supply speed meets the user's gas consumption speed.
  • the second control quantity generated by the pressure change rate controller 502 may also adopt a flag quantity indicating a gas supply strategy or a gas supply adjustment direction.
  • a flag quantity indicating a gas supply strategy or a gas supply adjustment direction For example, -1, 0 and +1 are respectively used as the flag quantity Flag2 output by the pressure change rate controller 502.
  • the flag value of -1 indicates that the downstream user consumption of the gas buffer tank 101 is lower than the gas flow rate entering the gas buffer tank 101 provided by the upstream ASU (downstream rapid withdrawal), and the gas supply speed needs to be reduced;
  • 0 indicates that the gas buffer tank
  • the downstream user usage of 101 is basically balanced with the upstream ASU gas separation production volume.
  • the output flag quantity of the pressure change rate controller 502 is -1, and the moving average value of the pressure change rate Ave_Move(dP/dt) falls into
  • the threshold range [DP low , DP High ] is in the threshold range [DP low, DP High]
  • the output flag of the pressure change rate controller 502 is 0, and when the moving average value of the pressure change rate Ave_Move (dP/dt) ⁇ DP low , the output flag of the pressure change rate controller 502 The quantity is 1.
  • the first and second control quantities output by the pressure controller 501 and the pressure change rate controller 502 are fused at 522 to generate a fused control quantity.
  • the fusion operation may integrate the gas supply strategies generated by the pressure controller 501 and the pressure change rate controller 502 to obtain a combined single control output.
  • the fusion operation may include a simple arithmetic summation of the first and second control quantities, and may also introduce respective weights for weighted summation to represent the contribution of the pressure and pressure change rate to the gas supply strategy. Other algorithms can also be used to calculate the fusion control volume.
  • the sum obtained by adding the flag quantities can be used as the fused control quantity of the pressure controller 501 and the pressure change rate controller 502 .
  • the flag of the fusion control quantity is still set to -1, that is, there is no longer a control strategy of increasing or reducing air supply. Medium re-grading. Accordingly, in the case where the sum is +2, the flag amount of the fusion control amount is still set to +1.
  • a feedforward controller 503 (whose transfer function is Gc_c(s)) that controls the disturbance input 511 may also be included in the control logic.
  • the feedforward controller 503 is mainly used to provide gas from the gas separation device to the gas buffer tank due to the presence of impurity gases such as carbon monoxide or carbon dioxide in the gas supply system, which causes interference components in the gas supply load of the gas supply system. A situation where the gas supply load is forced to increase or decrease.
  • the feedforward controller 503 may generate adjusted and compensated control parameters for the gas supply load based on detected disturbance inputs 511 related to impurity gases such as carbon monoxide or carbon dioxide.
  • the outputs of pressure controller 501 and pressure change rate controller 502 , and/or feedforward controller 503 are fused at 522 to generate a single fused control variable, which is then
  • the fusion control variable is input to the execution controller 505 of the gas supply system 100 (its transfer function is Gv(s)).
  • the fusion operation can involve combining two or three
  • the sum of the simple summation of the control outputs of two controllers is used as the fusion control variable, and weights can also be introduced to calculate the weighted sum of the two or three as the fusion control variable.
  • the system's execution controller 505 uses a DCS control method to determine the execution devices of the gas supply system 100 (e.g., including as described above) based on the integrated gas supply strategy indicated by the fused control output from 522 control parameters of each actuating device).
  • the Multi-Variables Predictive Control (MVPC) model used by the DCS control method provides automatic speed adjustment function, which can compare the fusion control output from the 522 with the corresponding control quantity threshold or threshold range. When the fusion control output exceeds the threshold by a large amount or is far away, MVPC can adjust or "pull back" the control amount to within the threshold or within the threshold range at a faster speed and amplitude.
  • MVPC Multi-Variables Predictive Control
  • the MVPC can automatically select the corresponding adjustment speed or amplitude through the automatic speed adjustment function according to the degree of deviation of the fusion control amount input to the execution controller 505 from the threshold or threshold range. Therefore, in the pressure controller 501, the pressure change rate controller 502 and/or the feedforward controller 503, the output control quantity is no longer set to the flag quantity of -2 and +2, and the fused control quantity after fusion is no longer set.
  • the flags of -2 and +2 are instead merged into -1 and +1 respectively.
  • the control parameters output by the execution controller 505 are used to control the actuating device to adjust the gas supply load of the gas buffer tank 101, for example, including the air intake volume, air intake flow rate or flow rate of the gas buffer tank 101 (for example, in standard cubic meters/hour). (unit), and/or the opening of the valve located on the supply pipeline 101a on the air inlet side of the gas buffer tank 101 or at the air inlet of the gas buffer tank 101, etc.
  • Comparison of the pressure and pressure change rate with the desired pressure control constraints and pressure change rate constraints, respectively (and possibly further consideration of the effects of disturbance input 511) can determine the control parameters of the gas supply system 100 (e.g., gas for the ASU Separate production parameters) adjustment direction and trend.
  • the comparison of the integrated control quantity in the MVPC with the corresponding threshold and threshold range can determine the direction, amplitude and/or speed of the change or adjustment of the control parameter of the gas supply system 100 .
  • the system model 506 of the gas supply system 100 (whose transfer function is Gp(s)), under the control of the control parameters output by the execution controller 505, reaches a new system state and generates the system output 512 as described above.
  • the disturbance input 511 may also affect the system status output 512 of the system model 506 of the gas supply system 100, so the feedforward controller 503 needs to be introduced.
  • the gas supply system 100 controlled according to the APC control logic proposed in this application was used to obtain system operation data from November 2020 to December 2020.
  • the recorded oxygen supply load of the ASU is between 85-105kNm 3 /h (thousand standard cubic meters / hour).
  • the average performance of the manual control scheme under the same oxygen supply load is used as a benchmark.
  • the automated load prediction system solution for controlling gas supply proposed in this application can significantly reduce manual operation time.
  • the operation records are reduced from an average of 80.37 records/day to 0, that is, there are no manual operations caused by the gas production demand not matching the user's gas demand and consumption problem, which can save 2 man-hours every day.
  • the system solution of the present application can significantly reduce the additional costs of gas product venting and liquid product vaporization.
  • liquid evaporation ratio the ratio of the supply gas provided by liquid vaporization to the user's total gas demand, expressed as a percentage
  • venting time ratio the ratio of the time to remove excess gas from the gas buffer tank to the total gas supply time
  • the system solution proposed in this application can save about 100,000 yuan per month and reduce the labor/time cost by two man-hours per day, thus improving the operator's work experience.
  • This solution can also be replicated and applied to other application scenarios with similar requirements.
  • Figure 6 illustrates an exemplary method for controlling gas supply. Parts of the method that are the same or similar to the operation process of the gas supply system described in conjunction with FIGS. 1 to 5 will not be described in detail.
  • the method first obtains measurement data of system state variables of the gas supply system in step S610, such as pressure measurement data of gas in the gas buffer tank. As can be seen from the above, these pressure tests The volume data is associated with the user's gas demand during the previous gas cycle. In order to determine sufficient information that can be used to extract the user's gas demand pattern, multiple sub-steps need to be further implemented in step S610. These sub-steps are used to determine the user's gas usage cycle and select system state variables measured in previous gas usage cycles based on the gas usage cycle.
  • step S611 historical data of the user's gas demand is further obtained, and in sub-step S612, the gas consumption cycle is determined based on the historical data of gas demand, so that in step S610, the previous gas consumption period before the current time can be obtained.
  • Pressure measurement data during the gas usage cycle can be obtained.
  • regression analysis especially the autoregressive analysis algorithm, can be applied on the gas consumption cycle historical data (curve) to determine the gas consumption cycle.
  • step S620 determines in step S620 predicted system state variables, such as pressure prediction data, for the next time/time interval (in particular the next control time or control time interval).
  • the system state variables characterizing the gas supply system include the gas pressure and pressure change rate in the gas buffer tank. Therefore, determining the pressure prediction data in step S620 is mainly to determine the prediction data of the pressure and pressure change rate (sub-step S622). Under ideal conditions, the gas temperature in the gas buffer tank remains constant, and the measured ambient temperature can also be used to represent the gas temperature in the gas buffer tank.
  • the method determines control parameters of the gas supply system in step S630.
  • the first control amount of the gas supply load adjustment may be determined based on the comparison result of the predicted pressure and the pressure control constraint.
  • a second control amount for gas supply load adjustment may be determined based on a comparison result of the predicted pressure change rate and the pressure change rate control constraints.
  • Control quantities can take the form of flag quantities characterizing different control strategies.
  • Sub-steps S631 and S632 can be implemented independently, serially or in parallel.
  • the first and second control variables are fused to generate a fused system control variable, and the control or operating parameters of each device (eg, ASU) in the system are determined.
  • the control parameter can be a measurable parameter related to the supply of gas, such as the air inlet volume or air inlet flow rate (flow rate) of the gas buffer tank or the gas separation production volume or production flow rate (flow rate) of the ASU, or it can be directly or indirectly operated.
  • the operating quantity of the actuating device or execution device of the equipment used in the gas supply system such as the opening of the air inlet of the gas buffer tank or the valve on the supply pipeline on the air inlet side.
  • the method proposed in this application can also design corresponding gas supply load adjustment strategies and methods according to different user demand patterns. Those skilled in the art will know that when the gas supply system supplies multiple types of gases, the automatic adjustment of the gas supply load is set individually for each type of gas product.
  • Figure 7 shows a device 700 for controlling gas supply according to an embodiment of the present application.
  • the device 700 at least includes a detection unit 710 for acquiring system state variable data 701 of the gas supply system, such as pressure measurement data of a gas buffer tank, and for determining pressure prediction data (including predicted pressure and predicted pressure) based on the obtained pressure measurement data. rate of change) and determines control parameters 702 for gas supply load regulation of the system based on the pressure prediction data.
  • system state variable data 701 of the gas supply system such as pressure measurement data of a gas buffer tank
  • pressure prediction data including predicted pressure and predicted pressure
  • control parameters 702 for gas supply load regulation of the system based on the pressure prediction data.
  • control unit 720 may further implement at least one step and at least one sub-step among steps S610 to S630 as shown in FIG. 6 .
  • the same or similar parts as those in the system operation process described above with reference to FIGS. 1 to 5 and the method described with reference to FIG. 6 will not be described in detail.
  • Device 700 may also include an interface (not shown) for interaction with an operator.
  • the interface may include an input unit that receives input information from an operator. The operator can intervene in the gas supply load automatic adjustment process of the gas supply system through the input unit and input desired control constraints and control parameters, etc.
  • the interface may also include a display unit that presents the system working status and various acquired data to the operator.
  • FIG. 8 shows an exemplary block diagram of a gas supply system.
  • the gas supply system 800 may include a device 700 for gas supply control as shown in FIG. 7 , a gas buffer tank 810 for buffering gas provided to a user, and a gas generation unit (eg, ASU) 820 for producing gas. .
  • the device 700 obtains system state variables from the gas buffer tank 810 to determine control parameters for gas supply control and load regulation, controls gas supply load regulation operations of the gas generation device 820, such as normal gas production or liquid vaporization, and/or controls gas buffering Operation of tank 810.
  • Operations related to the gas buffer tank 810 include, for example, regulating the amount of gas or the gas flow/flow rate entering and exiting the gas buffer tank 810, and controlling the gas buffer tank 810 to discharge excess gas product.
  • modules or units of the system for controlling gas supply are mentioned in the above detailed description, this division is not mandatory.
  • the features and functions of two or more modules or units described above may be embodied in one module or unit.
  • the features and functions of one module or unit described above may be further divided into being embodied by multiple modules or units.
  • Components shown as modules or units may or may not be physical units, that is, they may be located in one place, or they may be distributed over multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this application. Persons of ordinary skill in the art can understand and implement the method without any creative effort.
  • a computer-readable storage medium is also provided, with a computer program stored thereon.
  • the program includes executable instructions, which can implement any of the above when executed by, for example, a processor. Steps of the method for controlling gas supply described in the examples.
  • various aspects of the present application can also be implemented in the form of a program product, which includes program code. When the program product is run on a terminal device, the program code is used to cause the The terminal device performs the steps according to various exemplary embodiments of the present application described in the method for controlling gas supply in this specification.
  • the program product for implementing the above method according to the embodiment of the present application can adopt a portable compact disk read-only memory (CD-ROM) and include the program code, and can be run on a terminal device, such as a personal computer.
  • a readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus or device.
  • the program product may take the form of any combination of one or more readable media.
  • the readable medium may be a readable signal medium or a readable storage medium.
  • the readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: electrical connection with one or more conductors, portable disk, hard disk, random access memory (RAM), read only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, Portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • the computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave carrying readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above.
  • a readable storage medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transport the program for use by or in connection with an instruction execution system, apparatus, or device.
  • Program code contained on a readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.
  • Program code for performing the operations of the present application may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., as well as conventional procedural formulas. Programming language—such as "C” or a similar programming language.
  • the program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server execute on.
  • the remote computing device may be connected to the user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device, such as provided by an Internet service. (business comes via Internet connection).
  • LAN local area network
  • WAN wide area network
  • an electronic device may include a processor, and a memory for storing executable instructions of the processor.
  • the processor is configured to execute the steps of the method for controlling gas supply in any of the above embodiments by executing the executable instructions.
  • FIG. 9 An electronic device 900 according to this embodiment of the present application is described below with reference to FIG. 9 .
  • the electronic device 900 shown in FIG. 9 is only an example and should not bring any limitations to the functions and scope of use of the embodiments of the present application.
  • electronic device 900 is embodied in the form of a general computing device.
  • the components of the electronic device 900 may include, but are not limited to: at least one processing unit 910, at least one storage unit 920, a bus 930 connecting different system components (including the storage unit 920 and the processing unit 910), a display unit 940, and the like.
  • the storage unit stores program code, and the program code can be executed by the processing unit 910, so that the processing unit 910 performs various exemplary methods according to the present application described in the method for controlling gas supply in this specification. Implementation steps.
  • the processing unit 910 may perform steps as shown in FIG. 6 .
  • the storage unit 920 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 9201 and/or a cache storage unit 9202, and may further include a read-only storage unit (ROM) 9203.
  • RAM random access storage unit
  • ROM read-only storage unit
  • the storage unit 920 may also include a program/utility 9204 having a set of (at least one) program modules 9205 including, but not limited to: an operating system, one or more applications, other program modules, and programs. Data, each of these examples or some combination may include an implementation of a network environment.
  • Bus 930 may be a local area representing one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or using any of a variety of bus structures. bus.
  • Electronic device 900 may also communicate with one or more external devices 1000 (e.g., keyboard, pointing device, Bluetooth device, etc.), may also communicate with one or more devices that enable a user to interact with electronic device 900, and/or with Any device that enables the electronic device 900 to communicate with one or more other computing devices (eg, router, modem, etc.). This communication may occur through an input/output (I/O) interface 950.
  • the electronic device 900 may also communicate with one or more networks (eg, a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through the network adapter 960.
  • Network adapter 960 can interface with Communicate with other modules of the electronic device 900 .
  • electronic device 900 may be used in conjunction with electronic device 900, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives And data backup storage system, etc.
  • the example embodiments described here can be implemented by software, or can be implemented by software combined with necessary hardware. Therefore, the technical solution according to the embodiment of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to cause a computing device (which may be a personal computer, a server, a network device, etc.) to execute a method for controlling gas supply according to an embodiment of the present application.
  • a computing device which may be a personal computer, a server, a network device, etc.

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Analysis (AREA)
  • Fluid Mechanics (AREA)
  • Computing Systems (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • Algebra (AREA)
  • Filling Or Discharging Of Gas Storage Vessels (AREA)

Abstract

L'invention concerne un procédé et un appareil (700) pour commander l'alimentation en gaz d'un système d'alimentation en gaz (100), un support de stockage et un système d'alimentation en gaz (100). Le système d'alimentation en gaz (100) comprend un dispositif de génération de gaz (104) et un dispositif tampon de gaz (101), et le dispositif tampon de gaz (101) reçoit une alimentation en gaz provenant du dispositif de génération de gaz (104) et fournit du gaz à des utilisateurs (131, 132). Le procédé consiste à : acquérir des données de mesure de pression du dispositif tampon de gaz (101), les données de mesure de pression étant associées à une demande de consommation de gaz des utilisateurs (131, 132) dans un cycle de consommation de gaz précédent ; déterminer des données de prédiction de pression du dispositif tampon de gaz (101) sur la base des données de mesure de pression, les données de prédiction de pression comprenant une pression prédite et un taux de changement de pression prédit ; et déterminer un paramètre de commande d'alimentation en gaz du dispositif tampon de gaz (101) sur la base des données de prédiction de pression.
PCT/CN2023/080794 2022-03-23 2023-03-10 Procédé et appareil de commande d'alimentation en gaz d'un système d'alimentation en gaz WO2023179380A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202210291206.9 2022-03-23
CN202210291206.9A CN114659028A (zh) 2022-03-23 2022-03-23 用于控制气体供应***的气体供应的方法和设备

Publications (1)

Publication Number Publication Date
WO2023179380A1 true WO2023179380A1 (fr) 2023-09-28

Family

ID=82032078

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2023/080794 WO2023179380A1 (fr) 2022-03-23 2023-03-10 Procédé et appareil de commande d'alimentation en gaz d'un système d'alimentation en gaz

Country Status (3)

Country Link
CN (1) CN114659028A (fr)
TW (1) TW202400929A (fr)
WO (1) WO2023179380A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118039109A (zh) * 2024-04-12 2024-05-14 四川港通医疗设备集团股份有限公司 一种医用中心供氧***的自动调节方法及装置

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114659028A (zh) * 2022-03-23 2022-06-24 乔治洛德方法研究和开发液化空气有限公司 用于控制气体供应***的气体供应的方法和设备
CN116085685B (zh) * 2023-03-15 2023-06-23 上海叁零肆零科技有限公司 保证用气高峰时段天然气稳定供气的方法和***
CN116951317B (zh) * 2023-09-20 2023-11-21 成都秦川物联网科技股份有限公司 基于智慧燃气的供气成本管控方法、物联网***与介质
CN117927873B (zh) * 2024-03-25 2024-06-21 玉得气体有限责任公司 用于平衡管路中氮气的气量控制方法及***

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07310670A (ja) * 1994-05-18 1995-11-28 Toshiba Corp 空気圧縮設備の圧力制御装置
JPH09179603A (ja) * 1995-12-21 1997-07-11 Kawasaki Steel Corp 空気分離装置の製品ガス発生スケジュール決定方法
CN1534194A (zh) * 2003-03-31 2004-10-06 日立工机株式会社 空气压缩机及其控制方法
CN1647000A (zh) * 2002-01-30 2005-07-27 普莱克斯技术有限公司 管道输送的气体分配***的控制
DE102008057486A1 (de) * 2008-11-14 2010-05-20 Linde Aktiengesellschaft Verfahren zur Versorgung eines Gasverbrauchssystems
DE102008058736B3 (de) * 2008-11-24 2010-08-05 Technische Universität Clausthal Verfahren zum Betreiben eines Gasnetzes
CN108361186A (zh) * 2018-02-27 2018-08-03 首钢京唐钢铁联合有限责任公司 一种钢铁厂空压机***优化方法
CN108960487A (zh) * 2018-06-13 2018-12-07 北京天泽智云科技有限公司 基于大数据分析的空压机集群***能耗优化方法和装置
CN110244684A (zh) * 2019-04-24 2019-09-17 四川中鼎智能技术有限公司 基于空压机储气罐压力数据关联的诊断控制方法、***、存储介质和终端
CN110532597A (zh) * 2019-07-17 2019-12-03 北京中竞国际能源科技有限公司 基于压力轨迹预测和时间节点的空压机组调配***及方法
CN113962050A (zh) * 2021-09-16 2022-01-21 中冶赛迪技术研究中心有限公司 一种结合产耗预测及管网计算的氧气调度计算方法
CN114659028A (zh) * 2022-03-23 2022-06-24 乔治洛德方法研究和开发液化空气有限公司 用于控制气体供应***的气体供应的方法和设备

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ATE315247T1 (de) * 2001-08-24 2006-02-15 Bs & B Safety Systems Ltd Überwachungssystem für druckbehälter
CA2714318A1 (fr) * 2010-09-08 2012-03-08 Optimum Production Technologies Inc. Procede et systeme de logique de controle pour l'optimisation de la production de gaz naturel
CN107126813A (zh) * 2017-06-20 2017-09-05 西梅卡亚洲气体***成都有限公司 一种无级变负荷变压吸附空气分离装置的结构及控制方法
JP6991915B2 (ja) * 2018-03-30 2022-02-03 東京瓦斯株式会社 ガスの供給システム、その供給装置、その供給方法およびその供給プログラム
FR3082277B1 (fr) * 2018-06-07 2021-11-19 Air Liquide Dispositif et un procede de remplissage de reservoir(s) de gaz sous pression
CN113803642B (zh) * 2021-09-18 2023-07-07 深圳市富能新能源科技有限公司 一种压缩气体分配方法及其***
CN113964347A (zh) * 2021-10-21 2022-01-21 上海重塑能源科技有限公司 一种多堆燃料电池***的空气供应集成装置及其工作方法

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07310670A (ja) * 1994-05-18 1995-11-28 Toshiba Corp 空気圧縮設備の圧力制御装置
JPH09179603A (ja) * 1995-12-21 1997-07-11 Kawasaki Steel Corp 空気分離装置の製品ガス発生スケジュール決定方法
CN1647000A (zh) * 2002-01-30 2005-07-27 普莱克斯技术有限公司 管道输送的气体分配***的控制
CN1534194A (zh) * 2003-03-31 2004-10-06 日立工机株式会社 空气压缩机及其控制方法
DE102008057486A1 (de) * 2008-11-14 2010-05-20 Linde Aktiengesellschaft Verfahren zur Versorgung eines Gasverbrauchssystems
DE102008058736B3 (de) * 2008-11-24 2010-08-05 Technische Universität Clausthal Verfahren zum Betreiben eines Gasnetzes
CN108361186A (zh) * 2018-02-27 2018-08-03 首钢京唐钢铁联合有限责任公司 一种钢铁厂空压机***优化方法
CN108960487A (zh) * 2018-06-13 2018-12-07 北京天泽智云科技有限公司 基于大数据分析的空压机集群***能耗优化方法和装置
CN110244684A (zh) * 2019-04-24 2019-09-17 四川中鼎智能技术有限公司 基于空压机储气罐压力数据关联的诊断控制方法、***、存储介质和终端
CN110532597A (zh) * 2019-07-17 2019-12-03 北京中竞国际能源科技有限公司 基于压力轨迹预测和时间节点的空压机组调配***及方法
CN113962050A (zh) * 2021-09-16 2022-01-21 中冶赛迪技术研究中心有限公司 一种结合产耗预测及管网计算的氧气调度计算方法
CN114659028A (zh) * 2022-03-23 2022-06-24 乔治洛德方法研究和开发液化空气有限公司 用于控制气体供应***的气体供应的方法和设备

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118039109A (zh) * 2024-04-12 2024-05-14 四川港通医疗设备集团股份有限公司 一种医用中心供氧***的自动调节方法及装置

Also Published As

Publication number Publication date
TW202400929A (zh) 2024-01-01
CN114659028A (zh) 2022-06-24

Similar Documents

Publication Publication Date Title
WO2023179380A1 (fr) Procédé et appareil de commande d'alimentation en gaz d'un système d'alimentation en gaz
US8757105B2 (en) System and method for controlling liquid level in a vessel
US9677784B2 (en) Heat pump operation method and heat pump system
CN100350337C (zh) 管道输送的气体分配***的控制
Schäfer et al. Economic nonlinear model predictive control using hybrid mechanistic data-driven models for optimal operation in real-time electricity markets: In-silico application to air separation processes
CN101176063A (zh) 设施监视方法
CN103388834A (zh) 用于控制燃烧过程***的方法和装置
CN102677740A (zh) 配水压控制***
CN110529980B (zh) 中央空调实际需求供冷负荷的确定方法、***和电子设备
KR101437151B1 (ko) 가스 공급 제어 시스템 및 방법
CN114063545A (zh) 融合边缘计算的数据中心能耗管控***、方法及控制器
CN101449224B (zh) 用于输气管线的压力设定法
JP6029363B2 (ja) 熱源システム
US20230280000A1 (en) Management system and management method, and computer-readable storage medium
JP5632041B1 (ja) 発電プラント
JP6880864B2 (ja) エネルギー管理システムおよびエネルギー管理方法
US20230041634A1 (en) Cost Effective Pressure Sensors for Gas Meters
CN107832204A (zh) 一种基于mdc的服务器cpu能耗预测方法
CN113719886A (zh) 一种户间水利平衡控制***
CN107636553B (zh) 用于控制模型预测控制器中的斜坡失衡的***和方法
CN116804496B (zh) 基于二氧化碳制冷的冷库制冷机组控制方法和***
US11886157B2 (en) Operational optimization of industrial steam and power utility systems
JP2014220419A (ja) 電子機器冷却システム
CN118296305A (en) Method and system for estimating heat received by refrigerant in refrigerator
JP2008271659A (ja) エネルギー需給システムの運転支援システム及び運転支援方法

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 23773629

Country of ref document: EP

Kind code of ref document: A1