CN115453991A - Energy consumption data model construction method and device, storage medium and processor - Google Patents

Energy consumption data model construction method and device, storage medium and processor Download PDF

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Publication number
CN115453991A
CN115453991A CN202211071693.4A CN202211071693A CN115453991A CN 115453991 A CN115453991 A CN 115453991A CN 202211071693 A CN202211071693 A CN 202211071693A CN 115453991 A CN115453991 A CN 115453991A
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energy consumption
air separation
model
separation device
parameters
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Inventor
姜永
王文龙
田兴兵
李登桐
孙少华
姜涛
朱国强
金政伟
方林勇
岳峰
侯立志
马晓东
米鑫
毛建武
高宝刚
马银
宋晓丽
王婷
梁新文
刘伟
杨振燕
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National Energy Group Ningxia Coal Industry Co Ltd
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National Energy Group Ningxia Coal Industry Co Ltd
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Priority to CN202211071693.4A priority Critical patent/CN115453991A/en
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41885—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32339—Object oriented modeling, design, analysis, implementation, simulation language

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  • Automation & Control Theory (AREA)
  • Feedback Control In General (AREA)
  • Separation By Low-Temperature Treatments (AREA)

Abstract

The application provides a method, a device, a storage medium and a processor for constructing an energy consumption data model, wherein the method comprises the following steps: acquiring first operating parameters of the air separation device, wherein the first operating parameters are acquired by collecting source data through a distributed control system and then importing the source data into a real-time database system; adopting a first operation parameter to construct a first energy consumption model of the air separation device, wherein the first operation state is the operation state of the air separation device when the first operation parameter is obtained; adjusting working parameters of the air separation unit according to the first energy consumption model so that the energy consumption of the air separation unit is within a preset range; and after the working parameters of the air separation device are adjusted, obtaining second state operation parameters of the air separation device, and updating the first energy consumption model according to the second state operation parameters to obtain a second energy consumption model. The method and the device solve the problem that no energy consumption data model which can be applied to the air separation device and can directly guide operation and autonomously update and adjust exists in the prior art.

Description

Energy consumption data model construction method and device, storage medium and processor
Technical Field
The application relates to the field of air separation processes, in particular to a method and a device for constructing an energy consumption data model, a storage medium and a processor.
Background
The PI (Plant Information System, PI) System is a virtual window that visually displays the production process of an enterprise. Based on reliable production information, managers can monitor the operation of the entire enterprise. DCS is the english abbreviation of Distributed Control System, also known as a Distributed Control System. The PI system used at present can complete data acquisition and storage in the DCS and complete data export through PI-Detalink (PI data connection).
However, in the prior art, an energy consumption data model which can be applied to an air separation device is not available temporarily, and the prior other related energy consumption models cannot directly guide operation and autonomous updating and adjusting.
Disclosure of Invention
The application mainly aims to provide a method, a device, a storage medium and a processor for constructing an energy consumption data model, so as to solve the problem that no energy consumption data model which can be applied to an air separation device and can directly guide operation and autonomously update and adjust exists in the prior art.
In order to achieve the above object, according to an aspect of the present application, there is provided a method for constructing an energy consumption data model, the method including: acquiring first operating parameters of an air separation device, wherein the air separation device is used for separating each component gas in air, and the first operating parameters are acquired by collecting source data through a distributed control system and then importing the source data into a real-time database system; constructing a first energy consumption model of the air separation plant by using the first operating parameter, wherein the first energy consumption model is used for representing the relation among the ambient temperature, the oxygen output and the consumed air amount of the air separation plant in a first state, and the first operating state is the operating state of the air separation plant when the first operating parameter is acquired; adjusting working parameters of the air separation unit according to the first energy consumption model so that the energy consumption of the air separation unit is within a preset range; and after the working parameters of the air separation unit are adjusted, obtaining second state operation parameters of the air separation unit, and updating the first energy consumption model according to the second state operation parameters to obtain a second energy consumption model.
Optionally, constructing the first energy consumption model of the air separation plant by using the first operating parameter includes: removing abnormal data in the first operation parameters to obtain a parameter removal result; and constructing the first energy consumption model of the air separation unit according to the parameter removing result.
Optionally, adjusting the operating parameters of the air separation plant according to the first energy consumption model includes: obtaining an energy consumption reference line in the first state according to the first operating parameter, and determining a target energy consumption data point in the first energy consumption model, wherein the target energy consumption data point is a data point in an energy consumption curve graph, the abscissa of the energy consumption curve graph is the consumed air amount, the ordinate of the energy consumption curve graph is the oxygen output amount, and a text box representing the ambient temperature is also displayed on the energy consumption curve graph; determining the energy consumption condition corresponding to the target energy consumption data point according to the position relation between the target energy consumption data point and the energy consumption datum line; and adjusting the working parameters of the air separation device according to the energy consumption condition corresponding to the target energy consumption data point.
Optionally, determining an energy consumption condition corresponding to the target energy consumption data point according to the position relationship between the target energy consumption data point and the energy consumption reference line includes: under the condition that the target energy consumption data point is positioned below the energy consumption reference line, determining that the energy consumption corresponding to the target energy consumption data point is less than reference energy consumption; under the condition that the target energy consumption data point is located above the energy consumption datum line, determining that the energy consumption corresponding to the target energy consumption data point is greater than reference energy consumption; and under the condition that the target energy consumption data point is positioned on the energy consumption reference line, determining that the energy consumption corresponding to the target energy consumption data point is equal to the reference energy consumption.
Optionally, the method further comprises: and determining an applicable interval of working parameters of the air separation unit according to the first energy consumption model of the air separation unit.
Optionally, the method further comprises: setting an operation parameter early warning value of the obtained air separation device; and sending out alarm information under the condition that the real-time operation parameter of the air separation device is greater than or equal to the parameter early warning value.
Optionally, the first operating parameter further comprises at least one of: the time of the air separation device, the gas content of a middle-pumping instrument, the oxygen content in waste nitrogen, the high-pressure nitrogen content and the low-pressure nitrogen content; the working parameters of the air separation device comprise at least one of the following parameters: the flow of the water pump, the power of the heat exchanger, the power of the evaporator and the adsorption force of the molecular adsorber.
According to another aspect of the present application, there is provided an apparatus for modeling energy consumption data of a device based on a PI system, the apparatus including: the air separation device comprises a first acquisition unit, a calculation unit, an adjustment unit and an update unit, wherein the first acquisition unit is used for acquiring first operation parameters of the air separation device, the air separation device is used for separating each component gas in air, the first operation parameters are obtained by collecting source data through a distributed control system and then introducing the source data into a PI system; the calculation unit is configured to construct a first energy consumption model of the air separation plant by using the first operation parameter, where the first energy consumption model is used to represent a relationship among an ambient temperature, an oxygen output, and an air consumption amount of the air separation plant in a first state, and the first operation state is an operation state of the air separation plant when the first operation parameter is obtained; the adjusting unit is used for adjusting working parameters of the air separation unit according to the first energy consumption model so as to enable the energy consumption of the air separation unit to be within a preset range; the updating unit is used for obtaining a second state operation parameter of the air separation unit after adjusting the working parameter of the air separation unit, and updating the first energy consumption model according to the second state operation parameter to obtain a second energy consumption model.
According to yet another aspect of the application, there is provided a computer readable storage medium comprising a stored program, wherein the program when executed controls an apparatus in which the computer readable storage medium is located to perform any of the methods.
According to yet another aspect of the application, a processor for running a program is provided, wherein the program performs any one of the methods when running.
According to the technical scheme, in the construction method of the energy consumption data model, firstly, source data of the air separation device are collected through the distributed control system, then the source data are led into the real-time database system to obtain first operation parameters, then, the first operation parameters are adopted to construct the first energy consumption model of the air separation device, secondly, working parameters of the air separation device are adjusted according to the first energy consumption model, so that energy consumption of the air separation device is in a preset range, and finally, the adjusted working parameters of the air separation device are obtained, second state operation parameters are obtained, the first energy consumption model is updated, and a second energy consumption model is obtained. Compared with the prior art that no energy consumption data model which can be applied to the air separation device and can directly guide operation and autonomously update and adjust is available, the method acquires the source data of the air separation device through the distributed control system, and then leads the acquired source data into the real-time database system, so that the first operation parameter of the air separation device is acquired to construct the first energy consumption model, the working parameter of the air separation device is adjusted according to the first energy consumption model, the energy consumption of the air separation device is kept in a preset range, and the first energy consumption model is updated according to the adjusted air separation model.
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The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
FIG. 1 is a schematic diagram illustrating a method for constructing an energy consumption data model according to an embodiment of the present application;
fig. 2 is a schematic flow chart illustrating a process for obtaining a first operating parameter of an air separation plant according to an embodiment of the present application;
FIG. 3 is a graph illustrating a power consumption graph and a power consumption baseline according to an embodiment of the present application;
fig. 4 shows a schematic diagram of an apparatus for establishing an apparatus energy consumption data model based on a PI system according to an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
In order to make the technical solutions of the present application better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the accompanying drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It will be understood that when an element such as a layer, film, region, or substrate is referred to as being "on" another element, it can be directly on the other element or intervening elements may also be present. Also, in the specification and claims, when an element is described as being "connected" to another element, the element may be "directly connected" to the other element or "connected" to the other element through a third element.
As described in the background art, there is no energy consumption data model that can be applied to an air separation plant and can directly guide operation and autonomously update and adjust in the prior art, and in order to solve the problem that there is no energy consumption data model that can be applied to an air separation plant and can directly guide operation and autonomously update and adjust, embodiments of the present application provide a method, an apparatus, a storage medium, and a processor for constructing an energy consumption data model.
For convenience of description, some terms or expressions referred to in the embodiments of the present application are explained below:
the PI (Plant Information System, PI) System is a virtual window that visually displays the production process of an enterprise. Based on reliable production information, managers can monitor the operation of the entire enterprise.
PI system products mainly include three major categories: PI server software, PI client software and interface software. The PI server software is used for collecting and storing field production data; the PI client software provides secondary application to the real-time/historical data; and the interface software realizes the connection between different field control systems and the PI system.
DCS is the english abbreviation of Distributed Control System, also known as Distributed Control System. The DCS system comprises an operation station, an auxiliary operation table, a printer, a PC (personal computer), a control station, an I/O (input/output) cabinet, a terminal cabinet, a relay cabinet, a power distribution cabinet, network equipment and the like, and has the functions of basic process control, operation, monitoring, management, sequential control, process operation interlocking and the like of the production device.
According to an embodiment of the application, a method for constructing an energy consumption data model is provided.
Fig. 1 is a flowchart of a method for constructing an energy consumption data model according to an embodiment of the present application. As shown in fig. 1, the method comprises the steps of:
step S101, acquiring first operation parameters of an air separation unit, wherein the air separation unit is used for separating each component gas in air, and the first operation parameters are acquired by collecting source data through a distributed control system and then importing the source data into a real-time database system;
step S102, constructing a first energy consumption model of the air separation plant by using the first operation parameter, wherein the first energy consumption model is used for representing the relation among the ambient temperature, the oxygen output and the air consumption of the air separation plant in a first state, and the first operation state is the operation state of the air separation plant when the first operation parameter is acquired;
in the steps, a first energy consumption model of the air separation device can be obtained accurately by combining a first operation parameter obtained by processing a distributed control system and a real-time database;
step S103, adjusting working parameters of the air separation unit according to the first energy consumption model so as to enable the energy consumption of the air separation unit to be within a preset range;
specifically, after the first energy consumption model of the application is established, the air separation plant of the application has already made clear the energy consumption index corresponding to the first energy consumption model, and when the energy consumption of the air separation plant of the application is relatively high during operation, under the condition that the air separation plant is checked and determined to be fault-free, the air separation plant can be determined to process too high air volume.
And step S104, after adjusting the working parameters of the air separation unit, acquiring second state operation parameters of the air separation unit, and updating the first energy consumption model according to the second state operation parameters to obtain a second energy consumption model.
In the construction method of the energy consumption data model, firstly, source data of an air separation device are collected through a distributed control system, then the source data are brought into a real-time database system to obtain first operation parameters, then, a first energy consumption model of the air separation device is constructed by the first operation parameters, secondly, working parameters of the air separation device are adjusted according to the first energy consumption model to enable energy consumption of the air separation device to be within a preset range, and finally, the adjusted working parameters of the air separation device are obtained to obtain second state operation parameters, the first energy consumption model is updated, and a second energy consumption model is obtained. Compared with the prior art that no energy consumption data model which can be applied to the air separation device and can directly guide operation and autonomously update and adjust is available, the method acquires the source data of the air separation device through the distributed control system, and then leads the acquired source data into the real-time database system, so that the first operation parameter of the air separation device is acquired to construct the first energy consumption model, the working parameter of the air separation device is adjusted according to the first energy consumption model, the energy consumption of the air separation device is kept in a preset range, and the first energy consumption model is updated according to the adjusted air separation model.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than here.
Specifically, as shown in fig. 2, the distributed control system is a DCS system, the real-time database system is a PI system, the application first collects source data through the DCS system, guides the collected source data into the PI system, and finally sends out a first operation parameter processed by the DCS system and the PI system through PI-Detalink.
In an embodiment, the data acquisition time can be set according to actual conditions, or the first operation parameter of the air separation device is periodically acquired, so that a first energy consumption model is constructed to adjust the working parameter of the air separation device, the energy consumption data model of the air separation device is periodically updated, the operation of the device is always kept in the optimal state, and the updating process can be integrated into a program, so that the device is updated in real time.
According to a specific embodiment of the present application, the constructing the first energy consumption model of the air separation plant by using the first operating parameter includes: removing abnormal data in the first operation parameters to obtain a parameter removal result; and constructing the first energy consumption model of the air separation plant according to the parameter removing result. And abnormal data in the acquired first operation parameters are removed, so that the accuracy of a first energy consumption model constructed according to the first operation parameters is further ensured.
The abnormal data is a first operation parameter exceeding a preset range, and specifically, in the actual operation process of the air separation unit, if the oxygen content in the waste nitrogen is greater than 2 and less than 0.1, the data is abnormal data; if the high-pressure nitrogen content is greater than 15000 and less than 7500, the data is abnormal data; if the low-pressure nitrogen content is more than 8500 and less than 5500, the data is abnormal data, and the abnormal data is not limited to the predetermined range of the application and can be flexibly set by a person skilled in the art according to actual conditions.
According to another specific embodiment of the present application, adjusting the operating parameters of the air separation plant according to the first energy consumption model includes: obtaining an energy consumption reference line in the first state according to the first operating parameter, and determining a target energy consumption data point in the first energy consumption model, wherein the target energy consumption data point is a data point in an energy consumption curve graph, the abscissa of the energy consumption curve graph is the consumed air amount, the ordinate of the energy consumption curve graph is the oxygen output amount, and a text box representing the ambient temperature is displayed on the energy consumption curve graph; determining the energy consumption condition corresponding to the target energy consumption data point according to the position relationship between the target energy consumption data point and the energy consumption reference line; and adjusting the working parameters of the air separation unit according to the energy consumption condition corresponding to the target energy consumption data point. The current energy consumption condition of the target energy consumption point can be obtained more clearly through the energy consumption curve graph, so that the operation parameters of the air separation device are adjusted in real time according to the energy consumption condition of the target energy consumption point, and the energy consumption of the air separation device is further ensured not to be too high.
It should be noted that, the energy consumption reference line in the present application is a closest curve drawn by a large number of first operating parameters existing in the Excel in a scattered point form, and the curve is taken as the energy consumption reference line.
In order to further adjust the energy consumption situation of the air separation plant in real time and ensure that the energy consumption of the air separation plant is not too high, according to another specific embodiment of the present application, determining the energy consumption situation corresponding to the target energy consumption data point according to the positional relationship between the target energy consumption data point and the energy consumption reference line includes: under the condition that the target energy consumption data point is positioned below the energy consumption reference line, determining that the energy consumption corresponding to the target energy consumption data point is less than reference energy consumption; determining that the energy consumption corresponding to the target energy consumption data point is greater than the reference energy consumption under the condition that the target energy consumption data point is located above the energy consumption reference line; and under the condition that the target energy consumption data point is positioned on the energy consumption reference line, determining that the energy consumption corresponding to the target energy consumption data point is equal to the reference energy consumption. And determining the energy consumption condition of the target energy consumption point according to the specific position of the energy consumption datum line of the target energy consumption point, so that the operation parameters of the air separation device can be adjusted subsequently according to the energy consumption condition of the target energy consumption point.
Specifically, as shown in fig. 3, L is an energy consumption baseline, the target energy consumption data point displays a current energy consumption data point in an energy consumption graph, if the target energy consumption data point is located below the energy consumption baseline L, for example, point a, it indicates that the energy consumption of the air separation plant is better than the energy consumption baseline in this state, and if the target energy consumption data point is located above the energy consumption baseline L, for example, point B, it indicates that the energy consumption of the air separation plant is too high, and a process technology or an operation or a person is required to analyze or adjust the operating state of the current air separation plant, thereby reducing the energy consumption of the air separation plant.
According to another specific embodiment of the present application, the method further includes: and determining an applicable interval of the working parameters of the air separation plant according to the first energy consumption model of the air separation plant. And determining the application interval of the air separation unit according to the data parameters of the first energy consumption model, and providing support for the optimal delivery scheme of the subsequent clustered air separation unit.
According to another specific embodiment of the present application, the method further includes: setting an early warning value of the operation parameter of the obtained air separation device; and sending out alarm information under the condition that the real-time operation parameter of the air separation device is greater than or equal to the parameter early warning value. Whether the actual operation parameters of the air separation device exceed the parameter early warning values or not is monitored in real time, and whether the operation parameters are abnormal or not is determined, so that an operator is reminded of abnormality of the energy consumption of the current air separation device according to the abnormality, the operation parameters of the air separation device can be further adjusted in real time, and the energy consumption of the air separation device is ensured not to be too high.
According to another specific embodiment of the present application, the first operating parameter further includes at least one of: the time, the gas content of the middle pumping instrument, the oxygen content in the waste nitrogen, the high-pressure nitrogen content and the low-pressure nitrogen content of the air separation device; the working parameters of the air separation device comprise at least one of the following parameters: the flow of the water pump, the power of the heat exchanger, the power of the evaporator and the adsorption force of the molecular adsorber. Specifically, the first operation parameter of the air separation unit is obtained as shown in table 1, the first energy consumption model of the air separation unit is constructed according to the first operation parameter, and the working parameter of the air separation unit is adjusted according to the first energy consumption model, so that the energy consumption of the air separation unit is within a preset range, and the energy consumption of the air separation unit is not too high.
Wherein, the operating parameter of the above-mentioned air separation plant of this application still includes: the processing air quantity, the purification inlet temperature, the yield of argon-neon-helium-krypton-xenon products, the expansion quantity of the expansion machine, the oxygen extraction rate and the like.
TABLE 1 first operating parameter distribution Table
Figure BDA0003830603080000071
The embodiment of the present application further provides a device for establishing a device energy consumption data model based on a PI system, and it should be noted that the device for establishing a device energy consumption data model based on a PI system according to the embodiment of the present application may be used to execute the method for establishing an energy consumption data model provided in the embodiment of the present application. The following describes a device for establishing a device energy consumption data model based on a PI system according to an embodiment of the present application.
Fig. 4 is a schematic diagram of a device for establishing a device energy consumption data model based on a PI system according to an embodiment of the present application. As shown in fig. 4, the apparatus includes a first obtaining unit 10, a calculating unit 20, an adjusting unit 30, and an updating unit 40, where the first obtaining unit 10 is configured to obtain first operating parameters of an air separation plant, the air separation plant is configured to separate component gases in air, the first operating parameters are obtained by collecting source data through a distributed control system and then introducing the source data into a PI system; the calculating unit 20 is configured to construct a first energy consumption model of the air separation plant by using the first operating parameter, where the first energy consumption model is used to represent a relationship among an ambient temperature, an oxygen output amount, and an air consumption amount of the air separation plant in a first operating state of the air separation plant when the first operating parameter is obtained; the adjusting unit 30 adjusts the operating parameters of the air separation plant according to the first energy consumption model, so that the energy consumption of the air separation plant is within a preset range; the updating unit 40 is configured to obtain a second state operation parameter of the air separation plant after adjusting the operating parameter of the air separation plant, and update the first energy consumption model according to the second state operation parameter to obtain a second energy consumption model.
Specifically, after the first energy consumption model of the application is established, the air separation plant of the application has already made clear the energy consumption index corresponding to the first energy consumption model, and when the energy consumption of the air separation plant of the application is relatively high during operation, under the condition that the air separation plant is checked and determined to be fault-free, the air separation plant can be determined to process too high air volume.
In the device for establishing the device energy consumption data model based on the PI system, the first acquisition unit is used for acquiring source data of the air separation device collected by the distributed control system, then the source data are imported into a first operation parameter obtained by the real-time database system, the first operation parameter is used for establishing the first energy consumption model of the air separation device through the calculation unit, the adjustment unit is used for adjusting the working parameters of the air separation device according to the first energy consumption model, so that the energy consumption of the air separation device is in a preset range, the update unit is used for acquiring the adjusted working parameters of the air separation device to obtain the second state operation parameter, and the first energy consumption model is updated to obtain the second energy consumption model. Compared with the prior art that no energy consumption data model which can be applied to an air separation device and can directly guide operation and independently update and adjust is available, the energy consumption data model is characterized in that source data of the air separation device are collected through a distributed control system, the obtained source data are imported into a real-time database system, so that first operation parameters of the air separation device are obtained to construct a first energy consumption model, working parameters of the air separation device are adjusted according to the first energy consumption model, energy consumption of the air separation device is kept in a preset range, and the first energy consumption model is updated according to the adjusted air separation model.
Specifically, as shown in fig. 2, the distributed control system is a DCS system, the real-time database system is a PI system, the method collects source data through the DCS system, guides the collected source data into the PI system, and finally sends out a first operation parameter processed by the DCS system and the PI system through PI-Detalink.
In an embodiment, the data acquisition time can be set according to actual conditions, or the first operation parameter of the air separation device is periodically acquired, so that a first energy consumption model is constructed to adjust the working parameter of the air separation device, the energy consumption data model of the air separation device is periodically updated, the operation of the device is always kept in the optimal state, and the updating process can be integrated into a program, so that the device is updated in real time.
According to a specific embodiment of the present application, the computing unit includes a removing module and a constructing module, wherein the removing module is configured to remove abnormal data in the first operating parameter to obtain a parameter removing result; the construction module is used for constructing the first energy consumption model of the air separation plant according to the parameter removing result. The abnormal data in the acquired first operation parameters are removed, and the accuracy of a first energy consumption model constructed subsequently according to the first operation parameters is further ensured.
The abnormal data is a first operation parameter exceeding a preset range, and specifically, in the actual operation process of the air separation unit, if the oxygen content in the waste nitrogen is greater than 2 and less than 0.1, the data is abnormal data; if the high-pressure nitrogen content is greater than 15000 and less than 7500, the data is abnormal data; if the low-pressure nitrogen content is greater than 8500 and less than 5500, the data is abnormal data, and the abnormal data is not limited to the predetermined range in the application and can be flexibly set by a person skilled in the art according to actual conditions.
According to another specific embodiment of the present application, the adjusting unit includes a first determining module, a second determining module, and a third determining module, where the first determining module is configured to obtain an energy consumption baseline in the first state according to the first operating parameter, determine a target energy consumption data point in the first energy consumption model, where the target energy consumption data point is a data point in an energy consumption graph, an abscissa of the energy consumption graph is the consumed air amount, an ordinate of the energy consumption graph is the oxygen output amount, and a text box indicating the ambient temperature is displayed on the energy consumption graph; the second determining module is configured to determine, according to a positional relationship between the target energy consumption data point and the energy consumption reference line, an energy consumption situation corresponding to the target energy consumption data point; and the third determining module is used for adjusting the working parameters of the air separation unit according to the energy consumption condition corresponding to the target energy consumption data point. The current energy consumption condition of the target energy consumption point can be obtained more clearly through the energy consumption curve graph, so that the operation parameters of the air separation device are adjusted in real time according to the energy consumption condition of the target energy consumption point, and the energy consumption of the air separation device is further ensured not to be too high.
It should be noted that, the energy consumption reference line in the present application is a closest curve drawn by a large number of first operating parameters existing in the Excel in a scatter point form, and the curve is taken as the energy consumption reference line.
In order to further adjust the energy consumption condition of the air separation plant in real time and ensure that the energy consumption of the air separation plant is not too high, according to another specific embodiment of the present application, the second determining module includes a first determining submodule, a second determining submodule, and a third determining submodule, where the first determining submodule is configured to determine that the energy consumption corresponding to the target energy consumption data point is less than the reference energy consumption when the target energy consumption data point is located below the energy consumption reference line; the second determining submodule is used for determining that the energy consumption corresponding to the target energy consumption data point is greater than the reference energy consumption under the condition that the target energy consumption data point is located above the energy consumption reference line; the third determining submodule is configured to determine that energy consumption corresponding to the target energy consumption data point is equal to a reference energy consumption when the target energy consumption data point is located on the energy consumption reference line. And determining the energy consumption condition of the target energy consumption point according to the specific position of the energy consumption reference line of the target energy consumption point, so that the operation parameters of the air separation device can be adjusted subsequently according to the energy consumption condition of the target energy consumption point.
Specifically, as shown in fig. 3, L is an energy consumption baseline, the target energy consumption data point displays a current energy consumption data point in the energy consumption graph, if the target energy consumption data point is located below the energy consumption baseline L, for example, point a is located below the energy consumption baseline, it indicates that the energy consumption of the air separation plant is better than the energy consumption baseline in this state, and if the target energy consumption data point is located above the energy consumption baseline L, for example, point B, it indicates that the energy consumption of the air separation plant is too high, and a process technology or an operation or a person is required to analyze or adjust the current operation state of the air separation plant, so as to reduce the energy consumption of the air separation plant.
According to another specific embodiment of the present application, the apparatus further includes a determining unit, where the determining unit is configured to determine an applicable range of an operating parameter of the air separation plant according to the first energy consumption model of the air separation plant. And determining the application interval of the air separation unit according to the data parameters of the first energy consumption model, and providing support for the optimal delivery scheme of the subsequent clustered air separation unit.
According to another specific embodiment of the present application, the apparatus further includes a setting unit and a sending unit, where the setting unit is configured to set the obtained operation parameter early warning value of the air separation plant; the sending unit is used for sending out alarm information under the condition that the real-time operation parameter of the air separation unit is greater than or equal to the parameter early warning value. Whether the actual operation parameters of the air separation device exceed the parameter early warning values or not is monitored in real time, and whether the operation parameters are abnormal or not is determined, so that an operator is reminded of abnormality of the energy consumption of the current air separation device according to the abnormality, the operation parameters of the air separation device can be further adjusted in real time, and the energy consumption of the air separation device is ensured not to be too high.
According to another specific embodiment of the present application, the first operating parameter further includes at least one of: the time, the gas content of the middle-pumping instrument, the oxygen content in the waste nitrogen, the high-pressure nitrogen content and the low-pressure nitrogen content of the air separation device; the working parameters of the air separation device comprise at least one of the following parameters: the flow of the water pump, the power of the heat exchanger, the power of the evaporator and the adsorption force of the molecular adsorber. Specifically, the first operating parameter of the air separation plant is obtained according to the method, as shown in table 1, the first energy consumption model of the air separation plant is constructed according to the first operating parameter, and the working parameter of the air separation plant is adjusted according to the first energy consumption model, so that the energy consumption of the air separation plant is within a preset range, and the energy consumption of the air separation plant is not too high.
Wherein, the above-mentioned air separation plant's of this application working parameter still includes: the processing air quantity, the purification inlet temperature, the yield of argon-neon-helium-krypton-xenon products, the expansion quantity of the expansion machine, the oxygen extraction rate and the like.
The device for establishing the device energy consumption data model based on the PI system comprises a processor and a memory, wherein the first acquisition unit, the calculation unit, the adjustment unit, the updating unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the problem that no energy consumption data model which can be applied to the air separation device and can directly guide operation and autonomously update and adjust exists in the prior art is solved by adjusting kernel parameters.
The memory may include volatile memory in a computer readable medium, random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
The embodiment of the invention provides a computer-readable storage medium, which comprises a stored program, wherein when the program runs, the device where the computer-readable storage medium is located is controlled to execute the method for constructing the energy consumption data model.
The embodiment of the invention provides a processor, which is used for running a program, wherein the method for constructing the energy consumption data model is executed when the program runs.
An embodiment of the present invention provides an apparatus, where the apparatus includes a processor, a memory, and a program that is stored in the memory and is executable on the processor, and when the processor executes the program, at least the following steps are implemented:
step S101, acquiring first operating parameters of an air separation unit, wherein the air separation unit is used for separating each component gas in air, and the first operating parameters are acquired by collecting source data through a distributed control system and then importing the source data into a real-time database system;
step S102, constructing a first energy consumption model of the air separation plant by using the first operation parameter, wherein the first energy consumption model is used for representing the relation among the ambient temperature, the oxygen output and the consumed air quantity of the air separation plant in a first state, and the first operation state is the operation state of the air separation plant when the first operation parameter is acquired;
step S103, adjusting the working parameters of the air separation unit according to the first energy consumption model so as to enable the energy consumption of the air separation unit to be within a preset range;
and step S104, after adjusting the working parameters of the air separation unit, acquiring second state operation parameters of the air separation unit, and updating the first energy consumption model according to the second state operation parameters to obtain a second energy consumption model.
The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program of initializing at least the following method steps when executed on a data processing device:
step S101, acquiring first operation parameters of an air separation unit, wherein the air separation unit is used for separating each component gas in air, and the first operation parameters are acquired by collecting source data through a distributed control system and then importing the source data into a real-time database system;
step S102, constructing a first energy consumption model of the air separation plant by using the first operation parameter, wherein the first energy consumption model is used for representing the relation among the ambient temperature, the oxygen output and the air consumption of the air separation plant in a first state, and the first operation state is the operation state of the air separation plant when the first operation parameter is acquired;
step S103, adjusting working parameters of the air separation unit according to the first energy consumption model so as to enable the energy consumption of the air separation unit to be within a preset range;
and step S104, after adjusting the working parameters of the air separation unit, acquiring second state operation parameters of the air separation unit, and updating the first energy consumption model according to the second state operation parameters to obtain a second energy consumption model.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.
From the above description, it can be seen that the above-described embodiments of the present application achieve the following technical effects:
1) In the construction method of the energy consumption data model, firstly, source data of the air separation device are collected through a distributed control system, then the source data are imported into a real-time database system to obtain first operation parameters, then a first energy consumption model of the air separation device is constructed through the first operation parameters, secondly, working parameters of the air separation device are adjusted according to the first energy consumption model, so that energy consumption of the air separation device is within a preset range, and finally, the adjusted working parameters of the air separation device are obtained, second state operation parameters are obtained, the first energy consumption model is updated, and a second energy consumption model is obtained. Compared with the prior art that no energy consumption data model which can be applied to an air separation device and can directly guide operation and independently update and adjust is available, the energy consumption data model is characterized in that source data of the air separation device are collected through a distributed control system, the obtained source data are imported into a real-time database system, so that first operation parameters of the air separation device are obtained to construct a first energy consumption model, working parameters of the air separation device are adjusted according to the first energy consumption model, energy consumption of the air separation device is kept in a preset range, the first energy consumption model is updated according to the adjusted air separation model, the air separation device directly uses actual operation parameters of the air separation device as references, new data are continuously collected to update the energy consumption model, the energy consumption model is ensured to be always in an optimal state, and energy consumption of the air separation device is always not too high;
2) In the device for establishing the device energy consumption data model based on the PI system, the source data of the air separation device collected by the distributed control system are obtained through the first obtaining unit, the source data are led into the first operation parameters obtained by the real-time database system, the first energy consumption model of the air separation device is established through the calculating unit by adopting the first operation parameters, the working parameters of the air separation device are adjusted through the adjusting unit according to the first energy consumption model, the energy consumption of the air separation device is enabled to be within a preset range, the working parameters of the adjusted air separation device are obtained through the updating unit, the second state operation parameters are obtained, the first energy consumption model is updated, and the second energy consumption model is obtained. Compared with the prior art that no energy consumption data model which can be applied to an air separation device and can directly guide operation and independently update and adjust is available, the energy consumption data model is characterized in that source data of the air separation device are collected through a distributed control system, the obtained source data are imported into a real-time database system, so that first operation parameters of the air separation device are obtained to construct a first energy consumption model, working parameters of the air separation device are adjusted according to the first energy consumption model, energy consumption of the air separation device is kept in a preset range, and the first energy consumption model is updated according to the adjusted air separation model.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (10)

1. A method for constructing an energy consumption data model is characterized by comprising the following steps:
acquiring first operating parameters of an air separation unit, wherein the air separation unit is used for separating each component gas in air, and the first operating parameters are acquired by collecting source data through a distributed control system and then importing the source data into a real-time database system;
constructing a first energy consumption model of the air separation plant by using the first operating parameter, wherein the first energy consumption model is used for representing the relationship among the ambient temperature, the oxygen output and the air consumption of the air separation plant in a first state, and the first operating state is the operating state of the air separation plant when the first operating parameter is obtained;
adjusting working parameters of the air separation unit according to the first energy consumption model so that the energy consumption of the air separation unit is within a preset range;
and after adjusting the working parameters of the air separation device, obtaining second state operation parameters of the air separation device, and updating the first energy consumption model according to the second state operation parameters to obtain a second energy consumption model.
2. The method of claim 1, wherein constructing the first energy consumption model of the air separation plant using the first operating parameter comprises:
removing abnormal data in the first operation parameters to obtain a parameter removal result;
and constructing the first energy consumption model of the air separation device according to the parameter removing result.
3. The method of claim 1, wherein adjusting the operating parameters of the air separation plant according to the first energy consumption model comprises:
obtaining an energy consumption reference line in the first state according to the first operating parameter, and determining a target energy consumption data point in the first energy consumption model, wherein the target energy consumption data point is a data point in an energy consumption curve graph, the abscissa of the energy consumption curve graph is the consumed air amount, the ordinate of the energy consumption curve graph is the oxygen output amount, and a text box representing the ambient temperature is also displayed on the energy consumption curve graph;
determining the energy consumption condition corresponding to the target energy consumption data point according to the position relation between the target energy consumption data point and the energy consumption datum line;
and adjusting the working parameters of the air separation device according to the energy consumption condition corresponding to the target energy consumption data point.
4. The method of claim 3, wherein determining the energy consumption corresponding to the target energy consumption data point according to the position relationship between the target energy consumption data point and the energy consumption baseline comprises:
determining that the energy consumption corresponding to the target energy consumption data point is less than the reference energy consumption under the condition that the target energy consumption data point is positioned below the energy consumption reference line;
under the condition that the target energy consumption data point is located above the energy consumption datum line, determining that the energy consumption corresponding to the target energy consumption data point is greater than reference energy consumption;
and under the condition that the target energy consumption data point is positioned on the energy consumption datum line, determining that the energy consumption corresponding to the target energy consumption data point is equal to the reference energy consumption.
5. The method of claim 1, further comprising:
and determining an applicable interval of working parameters of the air separation unit according to the first energy consumption model of the air separation unit.
6. The method according to any one of claims 1 to 6, further comprising:
setting an early warning value of the operation parameters of the obtained air separation device;
and sending out alarm information under the condition that the real-time operation parameter of the air separation device is greater than or equal to the parameter early warning value.
7. The method according to any one of claims 1 to 6,
the first operating parameter further comprises at least one of:
the time of the air separation device, the gas content of a middle-pumping instrument, the oxygen content in waste nitrogen, the high-pressure nitrogen content and the low-pressure nitrogen content;
the working parameters of the air separation device comprise at least one of the following parameters:
the flow of the water pump, the power of the heat exchanger, the power of the evaporator and the adsorption force of the molecular adsorber.
8. A device for establishing a device energy consumption data model based on a PI system is characterized by comprising the following components:
the air separation device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring a first operation parameter of the air separation device, the air separation device is used for separating each component gas in air, the first operation parameter is obtained by collecting source data through a distributed control system and then introducing the source data into a PI system;
a calculating unit, configured to construct a first energy consumption model of the air separation plant by using the first operating parameter, where the first energy consumption model is used to represent a relationship among an ambient temperature, an oxygen output amount, and an air consumption amount of the air separation plant in a first state, and the first operating state is an operating state of the air separation plant when the first operating parameter is obtained;
the adjusting unit is used for adjusting working parameters of the air separation unit according to the first energy consumption model so as to enable the energy consumption of the air separation unit to be within a preset range;
and the updating unit is used for acquiring a second state operation parameter of the air separation device after adjusting the working parameter of the air separation device, and updating the first energy consumption model according to the second state operation parameter to obtain a second energy consumption model.
9. A computer-readable storage medium, comprising a stored program, wherein the program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method of any one of claims 1 to 7.
10. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the method of any of claims 1 to 7.
CN202211071693.4A 2022-09-02 2022-09-02 Energy consumption data model construction method and device, storage medium and processor Pending CN115453991A (en)

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