CN110619191A - Gas pipe network operation diagnosis system and method - Google Patents
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Abstract
The invention relates to a gas pipe network operation diagnosis system and method, and belongs to the field of informatization. The system comprises a pipe network model definition module, a simulation calculation module and an analysis diagnosis module; the pipe network model definition module is used for inputting and setting simulation calculation parameters of a gas pipe network and generating a calculation model according to a pipe network hydraulic calculation theoretical equation; the simulation calculation module reads in calculation boundary condition data required by the pipe network simulation calculation model in real time, and obtains real-time operation dynamic characteristics of the gas pipe network and stores results by solving the calculation model; the analysis and diagnosis module analyzes and diagnoses the operation characteristics of the pipe network according to a certain statistical time period through a corresponding statistical analysis method, and gives an analysis and diagnosis report. The invention can realize the real-time monitoring of the internal operating characteristics of the gas pipe network, provides detailed data support for the operation and maintenance and routing inspection of the pipe network and realizes the fine management of the gas pipe network system.
Description
Technical Field
The invention belongs to the field of informatization, and relates to a gas pipe network operation diagnosis system and a method.
Background
The gas pipe network is an important energy transmission and distribution facility of an energy system of a steel enterprise, the stable and efficient operation of the gas pipe network is related to the high-quality supply of gas and the guarantee of gas use safety, and the gas pipe network is the key point of energy management of the steel enterprise.
The gas pipe network of the iron and steel enterprise is built according to the gas supply and demand requirements of the production process, and is continuously expanded and adjusted along with the rolling development of the enterprise. The actual operation characteristics of the pipe network are not only related to the hardware configuration of the pipe network, but also affected by the dynamic changes of supply and demand of each gas production and consumption unit. The gas pipe network of the iron and steel enterprise is distributed in the whole plant, the length reaches dozens to hundreds of kilometers, and the connection relation is complex. Therefore, in actual management, because the cost of monitoring the operation of the whole pipe network is too high, the operation parameters of the terminal of the pipe network, namely the gas source and the user terminal in the gas pipe network, are only measured at present, so that the operation parameters of the pipe network boundary are managed, and the whole huge pipe network system is taken as a black box. Because of lack of effective monitoring means for operating characteristic parameters such as pressure, flow velocity and pressure loss inside the pipe network, the method is necessary data support for operation, maintenance and inspection of the pipe network and can be carried out only by the experience of management operators.
Disclosure of Invention
In view of the above, the present invention provides a system and a method for diagnosing operation of a gas pipe network.
In order to achieve the purpose, the invention provides the following technical scheme:
a gas pipe network operation diagnostic system comprising: the system comprises a pipe network model definition module, a simulation calculation module and an analysis diagnosis module;
the pipe network model definition module is used for inputting and setting simulation calculation parameters of a gas pipe network and generating a calculation model according to a pipe network hydraulic calculation theoretical equation;
the simulation calculation module reads in calculation boundary condition data required by the pipe network simulation calculation model in real time, and obtains real-time operation dynamic characteristics of the gas pipe network and stores results by solving the calculation model;
the analysis and diagnosis module analyzes and diagnoses the operation characteristics of the pipe network according to a certain statistical time period through a corresponding statistical analysis method, and gives an analysis and diagnosis report.
Optionally, the gas pipe network simulation calculation parameters include length, outer diameter, wall thickness, absolute roughness of each segment of gas pipeline in the gas pipe network, caliber, opening degree, and flow characteristic parameters of each valve, size and set operation parameters of each gas device, and connection relation parameters among the pipeline, the valve, each gas device, the gas source, and the user.
Optionally, the pipe network hydraulic calculation theoretical equation includes a mass, momentum and energy conservation equation of pipeline flow, a connection relation equation of a valve and each gas device, and a logic control equation of the gas device.
Optionally, the calculated boundary condition data includes pressure or flow of each gas source and user in the gas pipe network, and real-time operation parameters of each gas device.
Optionally, the real-time operation dynamic characteristics of the gas pipe network include pressure of each node of the pipe network, flow velocity and pressure drop of each pipe section.
Optionally, the analysis and diagnosis module sets a statistical analysis interval and a normal range of the running dynamic characteristics of the pipe network by a user;
the analysis and diagnosis module generates an analysis and diagnosis report by comparing, judging and correlating the real-time operation dynamic characteristics of the gas pipe network in a set statistical analysis time period, wherein the analysis and diagnosis report comprises abnormal data records, statistical results and related operation and inspection suggestions.
A method of diagnosing operation of a gas pipe network, comprising:
establishing a pipe network simulation calculation model according to a pipe network hydraulic calculation theoretical equation;
acquiring a calculation boundary in real time, solving a calculation model, and acquiring and storing real-time operation dynamic characteristics of the gas pipe network;
and analyzing and diagnosing the operating characteristics of the pipe network according to a certain statistical time period by a corresponding statistical analysis method, and giving an analysis and diagnosis report.
Optionally, the pipe network hydraulic calculation theoretical equation includes a mass, momentum and energy conservation equation of pipeline flow, a connection relation equation of a valve and each gas device, and a logic control equation of the gas device;
the calculation boundary condition data comprises the pressure or flow of each gas source and user in the gas pipe network and the real-time operation parameters of each gas device.
Optionally, the real-time operation dynamic characteristics of the gas pipe network include pressure of each node of the pipe network, flow velocity and pressure drop of each pipe section.
Optionally, the corresponding statistical analysis method is to perform analysis and diagnosis on the operation characteristics of the pipe network according to a certain statistical time period, including performing comparison, judgment and correlation analysis on the real-time operation dynamic characteristics of the gas pipe network within a set statistical analysis time period; the analysis and diagnosis report comprises abnormal data records, statistical results and related operation and routing inspection suggestions.
The invention has the beneficial effects that: on the basis that the existing gas pipe network only monitors terminal operation parameters, the internal operation characteristics of the pipe network including node pressure, pipe section flow velocity, resistance loss and the like are obtained through calculation through simulation of the gas pipe network, and comprehensive real-time monitoring of the real-time operation dynamic characteristics of the gas pipe network is realized. Meanwhile, according to the real-time operation dynamic data record of the pipe network, the statistical characteristics of the operation data of the pipe network and the abnormal operation data are recorded, counted and contrastively analyzed, the operation analysis and diagnosis report of the pipe network is produced, and relevant suggestions are given by combining the analysis and diagnosis results. The invention can not only realize the real-time monitoring of the internal operating characteristics of the gas pipe network, but also carry out statistics and abnormal analysis and diagnosis aiming at the operating conditions of the pipe network such as operating pressure, pipe section flow velocity, resistance loss and the like under the actual working condition, thereby providing detailed data support for the operation and maintenance and routing inspection of the pipe network and realizing the fine management of the gas pipe network system.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the means of the instrumentalities and combinations particularly pointed out hereinafter.
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For the purposes of promoting a better understanding of the objects, aspects and advantages of the invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings in which:
FIG. 1 is a block diagram of the system of the present invention;
fig. 2 is a hardware architecture diagram of a gas pipe network operation diagnosis system.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention in a schematic way, and the features in the following embodiments and examples may be combined with each other without conflict.
Wherein the showings are for the purpose of illustrating the invention only and not for the purpose of limiting the same, and in which there is shown by way of illustration only and not in the drawings in which there is no intention to limit the invention thereto; to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by terms such as "upper", "lower", "left", "right", "front", "rear", etc., based on the orientation or positional relationship shown in the drawings, it is only for convenience of description and simplification of description, but it is not an indication or suggestion that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes, and are not to be construed as limiting the present invention, and the specific meaning of the terms may be understood by those skilled in the art according to specific situations.
As shown in fig. 1 and fig. 2, the gas holder oil seal operation management and control system in this embodiment includes: the system comprises a pipe network model definition module, a simulation calculation module and an analysis diagnosis module.
The pipe network model definition module is used for inputting and setting simulation calculation parameters of a gas pipe network and generating a calculation model according to a pipe network hydraulic calculation theoretical equation; the simulation computation module reads in the computation boundary condition data required by the pipe network simulation computation model in real time, and obtains the real-time operation dynamic characteristics of the gas pipe network and stores the results by solving the computation model; the analysis and diagnosis module analyzes and diagnoses the operation characteristics of the pipe network according to a certain statistical time period through a corresponding statistical analysis method, and gives an analysis and diagnosis report.
In this embodiment, the pipe network is converted into a topological structure according to the connection relationship among the middle pipelines, valves, gas devices, gas sources and users of the pipe network, for example, each pipeline is used as a line in the topological structure, two ends of the pipeline are used as nodes of the topological structure, and the lines and the nodes are connected with each other according to the actual result of the pipe network to form the pipe network; the valve is used as a special node and can be connected with nodes at two ends of the pipeline; and the gas source, the user and each gas device are used as terminals of the topological structure and can be connected with the nodes at the two ends of the pipeline. And the connection relation among pipelines, valves, various gas equipment, gas sources and users is defined by naming lines and nodes in the topological structure.
In this embodiment, the pipe network model definition module needs to input necessary model parameters for hydraulic simulation calculation of the gas pipe network, including:
the length, the outer diameter, the wall thickness and the absolute roughness of each segment of the gas pipeline in the gas pipeline network preferably also comprise information of the area or plant part of the pipeline;
the aperture, the opening degree and the flow characteristic parameters of each valve preferably also comprise information such as the area or the factory where the valve belongs;
the size and the set operation parameters of each gas device, such as the piston speed, the set pressure and the safe limit value of the gas tank, the maximum gas diffusing capacity of the diffusing tower, the set pressure for opening and closing, and the like;
parameters of connection relations among pipelines, valves, gas equipment, gas sources and users, such as names of connection nodes at two ends of the pipelines, names of connection nodes of the valves and the like.
In this embodiment, the hydraulic calculation model of the gas pipe network is formed by substituting the input model parameters into the theoretical equations of pipe network hydraulic calculation, including the mass, momentum, and energy conservation equations of the pipe flow, the connection relation equations of the valves and the gas equipments, and the logic control equations of the gas equipments.
In this embodiment, the analog computation module performs discrete solution on the model equation, preferably, a finite volume method may be used to perform discrete on the pressure-velocity coupling equation to form a discrete equation set, and the equation is iteratively solved through a pressure prediction-correction method. In the solving process, the simulation calculation module needs to read in calculation boundary condition data required by the pipe network simulation calculation model, including the pressure or flow of each gas source and user in the gas pipe network, such as the real-time generation amount of blast furnace gas, the real-time consumption amount of hot blast furnace gas, the real-time consumption amount of self-contained power station gas, and the like, and the real-time operation parameters of each gas device, such as the real-time variation amount of the tank capacity of the gas tank, the real-time dispersion amount of the dispersion tower, and the like. By solving the hydraulic calculation model of the gas pipe network, the real-time operation dynamic characteristic data of the gas pipe network, such as the pressure of each node of the pipe network, the flow velocity, the pressure drop and the like of each pipe section, can be obtained.
In this embodiment, all the input modeling parameters, the read boundary values, and the calculated real-time operation dynamic characteristic data of the gas pipe network are stored in the system.
In this embodiment, the analysis and diagnosis module is used for setting a time interval of statistical analysis by a user, such as daily, weekly, monthly or an arbitrarily specified time period; the economic flow rate range, the reasonable unit pressure drop range, the node pressure fluctuation range and other index parameters of the pipe section are set by a user, preferably, a default value can be given by the system according to empirical data, and the user modifies the system according to actual conditions.
In this embodiment, the analysis and diagnosis module generates an analysis and diagnosis report by comparing, judging and analyzing the real-time operation dynamic characteristics of the gas pipe network within a set statistical analysis period, and includes the record of abnormal data, statistical result, and related operation and inspection advice, including:
and (3) operating pressure analysis and diagnosis: the method comprises the steps of carrying out proportion statistics on abnormal pressure fluctuation of the nodes of the pipe network, carrying out statistics on the nodes with the operating pressure higher or lower than a normal fluctuation range and abnormal duration, and prompting the areas where the nodes are located, preferably, displaying the pressure change trends of the partial nodes with the highest and the lowest average operating pressures in a chart visualization mode, displaying the areas with the pressures exceeding the normal fluctuation range for a long time, and the like;
analyzing and diagnosing the utilization rate of the pipeline: the method comprises the steps of distributing the running average flow speed of each pipeline, screening the pipelines with the flow speed being zero for a long time in a statistical time interval according to the flow speed distribution conditions of the partial pipelines with the higher and the lower average flow speeds in the statistical time interval, and correspondingly giving a targeted operation and maintenance prompt and a routing inspection prompt.
Analyzing and diagnosing the pipeline resistance loss: and calculating the unit resistance loss of the pipeline by combining the calculated pipeline pressure drop and the pipeline length, counting the resistance loss change condition of the pipeline with larger average resistance loss in the statistical period, and preferably displaying the change trend of the pipeline in a chart visualization mode. And (4) identifying the pipeline with unreasonable design size by combining the correlation analysis of the resistance loss and the flow velocity, and giving a diagnosis conclusion.
Correspondingly, the invention also provides a gas pipe network operation diagnosis method, which is characterized by comprising the following steps:
establishing a pipe network simulation calculation model according to a pipe network hydraulic calculation theoretical equation;
acquiring a calculation boundary in real time, solving a calculation model, and acquiring and storing real-time operation dynamic characteristics of the gas pipe network;
and analyzing and diagnosing the operating characteristics of the pipe network according to a certain statistical time period by a corresponding statistical analysis method, and giving an analysis and diagnosis report.
The pipe network hydraulic calculation theoretical equation at least comprises a mass, momentum and energy conservation equation of pipeline flow, a connection relation equation of a valve and each gas device and a logic control equation of the gas device.
The calculation boundary condition data at least comprises the pressure or flow of each gas source and user in the gas pipe network and the real-time operation parameters of each gas device.
The real-time operation dynamic characteristics of the gas pipe network at least comprise the pressure of each node of the pipe network, the flow speed and the pressure drop of each pipe section.
In this embodiment, the analysis and diagnosis of the operation characteristics of the pipe network is performed by a corresponding statistical analysis method according to a certain statistical time period, and includes comparing, judging and performing correlation analysis on the real-time operation dynamic characteristics of the gas pipe network within a set statistical analysis time period; and forming a pipeline operation pressure analysis and diagnosis report, a pipeline utilization rate analysis and diagnosis report, a pipeline resistance loss analysis and diagnosis report and the like, wherein the reports comprise abnormal data records, statistical results and related operation and routing inspection suggestions.
In this embodiment, a hardware architecture of the gas pipe network operation diagnosis system is formed by connecting a computer readable storage medium and a server through a network, preferably, a B/S architecture is used as a basis, a multi-level architecture is adopted, and a system network architecture diagram is shown in fig. 2.
In this embodiment, the hardware architecture of the gas pipe network operation diagnosis system includes 1 central switch, 1 engineer station, 1 application server, 1 database server, 1 data acquisition server, and 1 web server. The data acquisition server is communicated with a network interface of the on-site monitoring instrument and control systems of a gas tank, a diffusion tower and the like through a network, and acquires a real-time calculation boundary required by a gas pipe network operation diagnosis system; the client accesses each function module through the web server to set and query the analysis and diagnosis report.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (10)
1. A gas pipe network operation diagnostic system, comprising: the system comprises a pipe network model definition module, a simulation calculation module and an analysis diagnosis module;
the pipe network model definition module is used for inputting and setting simulation calculation parameters of a gas pipe network and generating a calculation model according to a pipe network hydraulic calculation theoretical equation;
the simulation calculation module reads in calculation boundary condition data required by the pipe network simulation calculation model in real time, and obtains real-time operation dynamic characteristics of the gas pipe network and stores results by solving the calculation model;
the analysis and diagnosis module analyzes and diagnoses the operation characteristics of the pipe network according to a certain statistical time period through a corresponding statistical analysis method, and gives an analysis and diagnosis report.
2. The gas pipe network operation diagnosis system according to claim 1, wherein the gas pipe network simulation calculation parameters include length, outer diameter, wall thickness, absolute roughness of each segment of gas pipe in the gas pipe network, caliber, opening degree, flow characteristic parameters of each valve, size and set operation parameters of each gas equipment, and connection relation parameters among the pipe, the valve, each gas equipment, gas source, and user.
3. The gas pipe network operation diagnostic system of claim 1, wherein the pipe network hydraulic calculation theoretical equations include mass, momentum and energy conservation equations of pipe flow, connection relationship equations of valves and gas equipments, and logic control equations of gas equipments.
4. The gas pipe network operation diagnostic system of claim 1, wherein the calculated boundary condition data comprises pressure or flow of each gas source, user in the gas pipe network, and real-time operating parameters of each gas appliance.
5. The gas pipe network operation diagnostic system of claim 1, wherein the gas pipe network real-time operation dynamics include pressure at each node of the pipe network, flow rate, flow velocity, pressure drop at each pipe segment.
6. The gas pipe network operation diagnosis system according to claim 1, wherein the analysis diagnosis module is configured by a user to set a statistical analysis interval and a normal range of the pipe network operation dynamic characteristics;
the analysis and diagnosis module generates an analysis and diagnosis report by comparing, judging and correlating the real-time operation dynamic characteristics of the gas pipe network in a set statistical analysis time period, wherein the analysis and diagnosis report comprises abnormal data records, statistical results and related operation and inspection suggestions.
7. A method for diagnosing operation of a gas pipe network, comprising:
establishing a pipe network simulation calculation model according to a pipe network hydraulic calculation theoretical equation;
acquiring a calculation boundary in real time, solving a calculation model, and acquiring and storing real-time operation dynamic characteristics of the gas pipe network;
and analyzing and diagnosing the operating characteristics of the pipe network according to a certain statistical time period by a corresponding statistical analysis method, and giving an analysis and diagnosis report.
8. The method for diagnosing the operation of the gas pipe network according to claim 7, wherein the theoretical equation for hydraulic calculation of the pipe network comprises an equation for conservation of mass, momentum and energy of pipeline flow, an equation for connection relationship between valves and gas equipments, and an equation for logic control of the gas equipments;
the calculation boundary condition data comprises the pressure or flow of each gas source and user in the gas pipe network and the real-time operation parameters of each gas device.
9. The method of claim 7, wherein the real-time operation dynamics of the gas network include pressure at each node of the network, flow rate, velocity, and pressure drop at each pipe segment.
10. The method for diagnosing the operation of the gas pipe network according to claim 7, wherein the corresponding statistical analysis method is used for analyzing and diagnosing the operation characteristics of the pipe network according to a certain statistical time period, and comprises the steps of comparing, judging and performing correlation analysis on the real-time operation dynamic characteristics of the gas pipe network in a set statistical analysis time period; the analysis and diagnosis report comprises abnormal data records, statistical results and related operation and routing inspection suggestions.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112560362A (en) * | 2020-12-15 | 2021-03-26 | 同济大学 | Aging diagnosis method and system for water supply pipeline of old community |
| CN116485077A (en) * | 2023-06-15 | 2023-07-25 | 深圳市秒加能源科技有限公司 | Air entrainment website information monitoring management system |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07182306A (en) * | 1993-12-24 | 1995-07-21 | Tokyo Gas Co Ltd | Flow rate and pressure simulation device for piping |
| JP2007057065A (en) * | 2005-08-26 | 2007-03-08 | Hitachi Software Eng Co Ltd | Apparatus and method for analyzing piping network |
| CN101187967A (en) * | 2007-12-07 | 2008-05-28 | 冶金自动化研究设计院 | Gas dynamic simulation system for steel enterprise |
| CN101409941A (en) * | 2008-11-21 | 2009-04-15 | 冶金自动化研究设计院 | System and method for analyzing coal gas pipe net present status |
| CN102902205A (en) * | 2012-10-18 | 2013-01-30 | 中煤科工集团武汉设计研究院 | Long-distance coal transporting pipeline DMS (Distribution Management System) network simulation system (SimS) (Seamless Integration of Multisource Spatialdata) |
| US20140172382A1 (en) * | 2012-12-19 | 2014-06-19 | Fluor Technologies Corporation | Pipeline Network Optimization Using Risk Based Well Production |
| CN106168795A (en) * | 2016-09-20 | 2016-11-30 | 航天长征化学工程股份有限公司 | Coal gasification dynamic simulation system |
| CN106338930A (en) * | 2016-10-27 | 2017-01-18 | 中冶赛迪工程技术股份有限公司 | Dynamic simulation based gas management system and method of steel enterprise |
| EP3376313A1 (en) * | 2017-03-17 | 2018-09-19 | Doosan Heavy Industries & Construction Co., Ltd. | Real-time gas turbine simulation system and execution method thereof |
| CN109344436A (en) * | 2018-08-28 | 2019-02-15 | 中国石油化工股份有限公司天然气分公司 | A kind of large complicated gas distributing system system in-circuit emulation method |
| CN208888602U (en) * | 2018-11-19 | 2019-05-21 | 中冶赛迪重庆信息技术有限公司 | A kind of iron and steel enterprise's gaspipe network running optimizatin device |
| CN109858826A (en) * | 2019-02-21 | 2019-06-07 | 中冶赛迪技术研究中心有限公司 | A kind of gas operation intelligent and safe managing and control system and method |
| CN110231844A (en) * | 2019-07-17 | 2019-09-13 | 中冶赛迪技术研究中心有限公司 | Control the method and system of various kinds of coal gas mixed thermal value, pressure and sulfur content |
-
2019
- 2019-10-10 CN CN201910959075.5A patent/CN110619191A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07182306A (en) * | 1993-12-24 | 1995-07-21 | Tokyo Gas Co Ltd | Flow rate and pressure simulation device for piping |
| JP2007057065A (en) * | 2005-08-26 | 2007-03-08 | Hitachi Software Eng Co Ltd | Apparatus and method for analyzing piping network |
| CN101187967A (en) * | 2007-12-07 | 2008-05-28 | 冶金自动化研究设计院 | Gas dynamic simulation system for steel enterprise |
| CN101409941A (en) * | 2008-11-21 | 2009-04-15 | 冶金自动化研究设计院 | System and method for analyzing coal gas pipe net present status |
| CN102902205A (en) * | 2012-10-18 | 2013-01-30 | 中煤科工集团武汉设计研究院 | Long-distance coal transporting pipeline DMS (Distribution Management System) network simulation system (SimS) (Seamless Integration of Multisource Spatialdata) |
| US20140172382A1 (en) * | 2012-12-19 | 2014-06-19 | Fluor Technologies Corporation | Pipeline Network Optimization Using Risk Based Well Production |
| CN106168795A (en) * | 2016-09-20 | 2016-11-30 | 航天长征化学工程股份有限公司 | Coal gasification dynamic simulation system |
| CN106338930A (en) * | 2016-10-27 | 2017-01-18 | 中冶赛迪工程技术股份有限公司 | Dynamic simulation based gas management system and method of steel enterprise |
| EP3376313A1 (en) * | 2017-03-17 | 2018-09-19 | Doosan Heavy Industries & Construction Co., Ltd. | Real-time gas turbine simulation system and execution method thereof |
| CN109344436A (en) * | 2018-08-28 | 2019-02-15 | 中国石油化工股份有限公司天然气分公司 | A kind of large complicated gas distributing system system in-circuit emulation method |
| CN208888602U (en) * | 2018-11-19 | 2019-05-21 | 中冶赛迪重庆信息技术有限公司 | A kind of iron and steel enterprise's gaspipe network running optimizatin device |
| CN109858826A (en) * | 2019-02-21 | 2019-06-07 | 中冶赛迪技术研究中心有限公司 | A kind of gas operation intelligent and safe managing and control system and method |
| CN110231844A (en) * | 2019-07-17 | 2019-09-13 | 中冶赛迪技术研究中心有限公司 | Control the method and system of various kinds of coal gas mixed thermal value, pressure and sulfur content |
Non-Patent Citations (4)
| Title |
|---|
| 冯燕: "《工程流体力学》", 31 August 2013 * |
| 向贵宝，李士雨: "天然气长输管网的模拟与优化模型研究", 《计算机与应用化学 》 * |
| 湛从昌，陈新元: "《液压可靠性最优化与智能故障诊断》", 31 October 2015 * |
| 高山: "《《现代城市节约用水技术与国际通用管理成功案例典范 第2卷》", 31 August 2003 * |
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| CN116485077A (en) * | 2023-06-15 | 2023-07-25 | 深圳市秒加能源科技有限公司 | Air entrainment website information monitoring management system |
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