CN116378944A - Optimized operation method of air compression station of electrolytic aluminum plant - Google Patents

Optimized operation method of air compression station of electrolytic aluminum plant Download PDF

Info

Publication number
CN116378944A
CN116378944A CN202310224598.1A CN202310224598A CN116378944A CN 116378944 A CN116378944 A CN 116378944A CN 202310224598 A CN202310224598 A CN 202310224598A CN 116378944 A CN116378944 A CN 116378944A
Authority
CN
China
Prior art keywords
air
compression station
air compression
consumption
electrolytic aluminum
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310224598.1A
Other languages
Chinese (zh)
Inventor
关路远
马恩杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenyang Aluminium And Magnesium Engineering And Research Institute Co Ltd
Original Assignee
Shenyang Aluminium And Magnesium Engineering And Research Institute Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenyang Aluminium And Magnesium Engineering And Research Institute Co Ltd filed Critical Shenyang Aluminium And Magnesium Engineering And Research Institute Co Ltd
Priority to CN202310224598.1A priority Critical patent/CN116378944A/en
Publication of CN116378944A publication Critical patent/CN116378944A/en
Pending legal-status Critical Current

Links

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04BPOSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B49/00Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
    • F04B49/06Control using electricity
    • F04B49/065Control using electricity and making use of computers
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Tourism & Hospitality (AREA)
  • Data Mining & Analysis (AREA)
  • Quality & Reliability (AREA)
  • Health & Medical Sciences (AREA)
  • Pure & Applied Mathematics (AREA)
  • Development Economics (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Game Theory and Decision Science (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Public Health (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Primary Health Care (AREA)
  • Computer Hardware Design (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Probability & Statistics with Applications (AREA)
  • Mechanical Engineering (AREA)
  • Algebra (AREA)
  • Educational Administration (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Separation By Low-Temperature Treatments (AREA)

Abstract

The invention discloses an optimized operation method of an air compression station of an electrolytic aluminum factory, which comprises the steps of transmitting air compression station detection instrument data to a server, operating an intelligent air compression station control system on the server, and logging in the intelligent air compression station control system by a user to manage air compression station equipment and manage and predict gas consumption; the gas consumption and the gas consumption variation of each gas consumption user are automatically counted, and the loss generated in the middle of the pipeline is automatically counted; the intelligent control system of the air compression station is additionally arranged to predict the future 24-hour consumption of the compressed air, so that the terminal load demand can be accurately matched, the operation of an air compressor unit can be adjusted, and the management process of the air compressor can realize informatization; the problems that the equipment of the air compression station lacks effective management and control, the air compressors are independently operated and have no informationized management system, the operation efficiency is low and the like existing in the air compression station of the electrolytic aluminum factory at present are effectively solved.

Description

Optimized operation method of air compression station of electrolytic aluminum plant
Technical Field
The invention relates to the technical field of operation optimization of air compression stations, in particular to an optimization operation method of an air compression station of an electrolytic aluminum plant.
Background
Compressed air is an important power source in the electrolytic aluminum production process, and has wide application in various links of electrolytic aluminum production. For example: the dense phase and the super dense phase are conveyed, crust breaking and blanking, vacuum aluminum discharging and the like, a large amount of compressed air is needed, and the air compression station is a production unit for generating the compressed air. Therefore, the safe and efficient operation of the air compression station can greatly influence the production efficiency of the whole electrolytic aluminum plant.
The operation flow of the air compression station of the electrolytic aluminum plant is as follows: after dust and impurities in air are removed through an air filter, clean air reaches a certain pressure through multistage compression of an air compressor, and then enters a dryer for drying, and the dried compressed air enters a compressed air pipe network to reach a gas utilization unit.
Early air compression stations adopt relay control system to control the operation of air compressor machine, along with the development of technique, newly-built electrolytic aluminum factory air compression station is realized to the control of bottom by PLC more now, like: start, stop, detect information acquisition, etc. The existing electrolytic aluminum factory air compression station basically realizes automatic operation, automatic diagnosis alarm, fault record and report printing, but from the viewpoint of optimal operation, the electrolytic aluminum factory air compression station still lacks effective optimizing means. For example: the air compression station equipment lacks effective control; the operation of the compressor unit cannot be accurately matched with the end load requirement, and the condition that compressed air exceeds or cannot meet the requirement often exists; the air compressors all independently operate, an informationized management system is not available, and a large number of manual records and reports operate with low efficiency in the management process.
Disclosure of Invention
In view of the above disadvantages and shortcomings, the invention provides an optimized operation method of an air compression station of an electrolytic aluminum plant, which predicts the future usage change of compressed air by adding an intelligent control system of the air compression station, optimizes the operation of an air compressor according to the future usage change, and simultaneously realizes informatization of the management process of the air compressor.
In order to achieve the above purpose, the main technical scheme adopted by the invention comprises the following steps:
transmitting data of a detection instrument of the air compression station to a server, running an intelligent control system of the air compression station on the server, and logging in the intelligent control system of the air compression station by a user to manage equipment of the air compression station and manage and predict gas consumption;
the intelligent control system of the air compression station comprises the following modules:
(1) And the air consumption prediction module is used for: predicting the demand quantity of compressed air in the future 24 hours, and adjusting the operation of the air compressor according to the result;
(2) Using a pneumatic management module: automatically counting the gas consumption of each gas consumption user and the variation of the gas consumption, and automatically counting the loss generated in the middle of the pipeline;
(3) And an operation management module: checking and statistics of operation parameters of air compressor equipment are realized; realizing automatic printing of daily reports of the air compressor;
(4) The air compression station equipment maintenance management module comprises: the method and the device realize the inquiry of the equipment files of the air compression station, the input and the check of the inspection records of the air compression station and the input and the check of the maintenance records of the air compression station.
The predicted future 24-hour compressed air demand is specifically: the historical compressed air consumption and the corresponding number of the running electrolytic cells and the number of the aluminum electrolysis cells are taken as a sample space, the number of the electrolytic cells to be operated and the number of the aluminum electrolysis cells to be operated in the future 24 hours are input by the air prediction module, the two data are compared with historical data, the nearest 4-8 compressed air consumption is selected, and the average value is calculated to be the predicted compressed air consumption in the future 24 hours.
The operation of the air compressor can be adjusted by a dispatcher according to the predicted compressed air consumption in the future 24 hours.
The air compression station detecting instrument includes: temperature detecting instrument, pressure detecting instrument, flow detecting instrument, ampere meter, voltmeter.
The air compression station apparatus includes: air compressor, cold dryer, desiccator.
The user management module counts the air consumption of each compressed air user respectively, and displays the air consumption in a curve form, so that management staff can search and check at any time, and the system automatically counts the pressure loss condition of each pipeline.
The daily report printing content of the air compressor of the operation management module comprises the following components: the running time of the air compressor, the total amount of compressed air generated each time and the trend chart of the compressed air amount.
A user logs in through a PC browser or a mobile phone browser and uses the intelligent control system of the air compression station. The invention has the following beneficial effects and advantages:
1. the intelligent control system of the air compression station is additionally arranged to predict the future 24-hour consumption of the compressed air, so that the terminal load demand can be accurately matched, the operation of an air compressor unit can be adjusted, and the management process of the air compressor can realize informatization;
2. the method effectively solves the problems of lack of effective control of air compression station equipment, independent operation of air compressors, no informationized management system, low operation efficiency and the like existing in the air compression station of the electrolytic aluminum factory at present.
Detailed Description
The invention relates to an optimized operation method for an air compression station of an electrolytic aluminum plant, which is characterized in that: transmitting data of a temperature detection instrument, a pressure detection instrument, a flow detection instrument, an ammeter and a voltmeter to a server, wherein an intelligent control system of the air compression station operates on the server, and a user logs in the intelligent control system of the air compression station to manage air compression station equipment and manage and predict gas consumption; the air compression station apparatus includes: air compressor, cold dryer, desiccator.
A user logs in an intelligent control system of an air compression station of an electrolytic aluminum factory through a browser of a PC (personal computer) or a smart phone, a dispatcher logs in the intelligent control system and then inputs the running number of electrolytic cells and the number of aluminum electrolysis cells in the future 24 hours through a gas prediction module, and the intelligent control system predicts the consumption of compressed air in the future 24 hours and specifically comprises the following steps: the historical compressed air consumption and the corresponding number of the running electrolytic tanks and the number of the aluminum electrolysis tanks are taken as a sample space, the number of the electrolytic tanks to be operated and the number of the aluminum electrolysis tanks to be operated in the future 24 hours are input by the air prediction module, the two data are compared with historical data, the nearest 4-8 compressed air consumption is selected, the average value is calculated to be the predicted compressed air consumption in the future 24 hours, and the operation of the air compressor is adjusted by a dispatcher according to the prediction result.
The air consumption of each compressed air user is automatically counted by the air management module and displayed in a curve form, management personnel of the air compression station can search and check at any time, and the system automatically counts the pressure loss condition of each pipeline.
After a maintainer of the air compression station logs in the system, the point inspection data of the air compressor, the maintenance data of the air compressor and the operation data of the air compressor are recorded into the system at regular time according to factory management regulations.
After a manager of the air compression station logs in the system, the point inspection, maintenance and operation information of the air compressor can be checked at any time, the operation parameters of the air compressor equipment are checked, daily reports of the air compressor are automatically downloaded and printed, and the printing content comprises: the running time of the air compressor, the total amount of compressed air generated each time and the trend chart of the compressed air amount.

Claims (8)

1. An optimized operation method of an air compression station of an electrolytic aluminum plant is characterized by comprising the following steps: transmitting data of a detection instrument of the air compression station to a server, running an intelligent control system of the air compression station on the server, and logging in the intelligent control system of the air compression station by a user to manage equipment of the air compression station and manage and predict gas consumption;
the intelligent control system of the air compression station comprises the following modules:
and the air consumption prediction module is used for: predicting the demand quantity of compressed air in the future 24 hours, and adjusting the operation of the air compressor according to the result;
using a pneumatic management module: automatically counting the gas consumption of each gas consumption user and the variation of the gas consumption, and automatically counting the loss generated in the middle of the pipeline;
and an operation management module: checking and statistics of operation parameters of air compressor equipment are realized; realizing automatic printing of daily reports of the air compressor;
the air compression station equipment maintenance management module comprises: the method and the device realize the inquiry of the equipment files of the air compression station, the input and the check of the inspection records of the air compression station and the input and the check of the maintenance records of the air compression station.
2. The method for optimizing operation of an electrolytic aluminum plant air compression station according to claim 1, wherein: the predicted future 24-hour compressed air demand is specifically: the historical compressed air consumption and the corresponding number of the running electrolytic cells and the number of the aluminum electrolysis cells are taken as a sample space, the number of the electrolytic cells to be operated and the number of the aluminum electrolysis cells to be operated in the future 24 hours are input by the air prediction module, the two data are compared with historical data, the nearest 4-8 compressed air consumption is selected, and the average value is calculated to be the predicted compressed air consumption in the future 24 hours.
3. The method for optimizing operation of an electrolytic aluminum plant air compression station according to claim 2, characterized in that: the operation of the air compressor can be adjusted by a dispatcher according to the predicted compressed air consumption in the future 24 hours.
4. The method for optimizing operation of a vacuum station of an electrolytic aluminum plant according to claim 1, wherein the vacuum station detection instrument comprises: temperature detecting instrument, pressure detecting instrument, flow detecting instrument, ampere meter, voltmeter.
5. The method for optimizing operation of a vacuum pumping station of an electrolytic aluminum plant according to claim 1, wherein the vacuum pumping station apparatus comprises: air compressor, cold dryer, desiccator.
6. The method for optimizing operation of an electrolytic aluminum plant air compression station according to claim 1, wherein: the air consumption management module counts the air consumption of each compressed air user respectively, displays the air consumption in a curve form, and can be searched and checked by a manager at any time, and the system automatically counts the pressure loss condition of each pipeline.
7. The method for optimizing operation of an electrolytic aluminum plant air compression station according to claim 1, wherein: the daily report printing content of the air compressor of the operation management module comprises the following components: the running time of the air compressor, the total amount of compressed air generated each time and the trend chart of the compressed air amount.
8. The method for optimizing operation of an electrolytic aluminum plant air compression station according to claim 1, wherein: a user logs in through a PC browser or a mobile phone browser and uses the intelligent control system of the air compression station.
CN202310224598.1A 2023-03-10 2023-03-10 Optimized operation method of air compression station of electrolytic aluminum plant Pending CN116378944A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310224598.1A CN116378944A (en) 2023-03-10 2023-03-10 Optimized operation method of air compression station of electrolytic aluminum plant

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310224598.1A CN116378944A (en) 2023-03-10 2023-03-10 Optimized operation method of air compression station of electrolytic aluminum plant

Publications (1)

Publication Number Publication Date
CN116378944A true CN116378944A (en) 2023-07-04

Family

ID=86974086

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310224598.1A Pending CN116378944A (en) 2023-03-10 2023-03-10 Optimized operation method of air compression station of electrolytic aluminum plant

Country Status (1)

Country Link
CN (1) CN116378944A (en)

Similar Documents

Publication Publication Date Title
CN112686493A (en) Method for evaluating running state and replacing of intelligent electric meter in real time by relying on big data
CN112863134B (en) Intelligent diagnosis system and method for rural sewage treatment facility abnormal operation
CN112836935B (en) Wisdom water management platform suitable for power plant
CN1232734C (en) Compressor long-distance monitoring system
CN109491341B (en) Monitoring and data analysis system for oil field operation equipment
CN103092169B (en) Digital camp apparatus management/control device
CN112943911B (en) Wind turbine generator system gear box lubricating oil on-line monitoring device, monitoring method and system
CN110688389B (en) Cloud management system for defects of secondary equipment of transformer substation
CN111045364B (en) Power environment monitoring system decision-making assisting method based on big data platform
CN108005893A (en) A kind of energy-saving air compressor machine analysis and diagnosis system and its control method
CN107832946A (en) A kind of power energy monitoring and controlling for workshop and management method and system
CN110633916A (en) Energy efficiency control system for coal mine enterprise
CN114777003A (en) Power plant auxiliary engine lubricating oil monitoring system and method
CN204515513U (en) Lighter hydrocarbons recovery apparatus remote diagnostic management system
CN116378944A (en) Optimized operation method of air compression station of electrolytic aluminum plant
CN202091172U (en) Device for monitoring state and analyzing reliability of gas compressor
CN104199418A (en) Air compression station data acquisition and central control device
CN214699134U (en) Wind turbine generator system gear box lubricating oil on-line monitoring device
CN116488351A (en) Low-voltage distribution box remote monitoring method and system based on Internet of things
CN110933186A (en) WEB-based mining remote monitoring system
CN110345061A (en) A kind of water circulating pump energy conservation power efficiency diagnostic analysis method
CN214063261U (en) Intelligent group control device for air compressor
CN114781671A (en) Intelligent monitoring system and monitoring test method for electric oil
CN114384119A (en) Method and device for detecting dew point of compressed air in steel plant
CN116976569B (en) Compressed air energy supply data management method, electronic device and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination