CN114881375A - Diagnosis and tuning system and method of fan system - Google Patents
Diagnosis and tuning system and method of fan systemDownload PDFInfo
- Publication number
- CN114881375A CN114881375ACN202210808054.5ACN202210808054ACN114881375ACN 114881375 ACN114881375 ACN 114881375ACN 202210808054 ACN202210808054 ACN 202210808054ACN 114881375 ACN114881375 ACN 114881375A
- Authority
- CN
- China
- Prior art keywords
- fan
- database
- processor
- human
- fan system
- 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
Links
Images
Classifications
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2477—Temporal data queries
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Marketing (AREA)
- Probability & Statistics with Applications (AREA)
- General Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- Tourism & Hospitality (AREA)
- Computational Linguistics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Entrepreneurship & Innovation (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Primary Health Care (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
Description
Technical Field
The invention relates to the field of fan systems, in particular to a diagnosis and tuning system and method of a fan system.
Background
The fan system widely exists with the operating mode enterprise, and its power consumption is huge, detects through more than 1000 sets of fan systems and discovers, and fan system operation is unusual general, and the existence can't the position to each subassembly (part) monitoring, and is not timely to unusual feedback, makes fan system operation unusual after the accumulation, and efficiency descends, increases the trouble possibility, increases the energy consumption simultaneously. However, at present, a systematic, especially intelligent guidance and regulation method is lacking, so that many fan systems can only maintain the state of low-efficiency operation and cannot be changed.
Disclosure of Invention
The invention aims to provide a diagnosis and tuning system and a diagnosis and tuning method for a fan system. According to the invention, through the decomposition and real-time monitoring of each component of the fan system, the abnormity is found in real time, and corresponding adjustment is carried out, so that the system can run in a more efficient mode, the running failure rate of the fan system is reduced, and the energy consumption of the fan system is reduced.
The technical scheme of the invention is as follows: a diagnosis and tuning system of a fan system comprises a collecting device, a processor, a control device and a man-machine interaction device;
the acquisition device is used for acquiring real-time operation parameters of the fan system and sending the operation parameters to the processor;
the processor is used for calculating the actual operation parameters of the fan system, comparing the calculation result with a database, and outputting information to the human-computer interaction device and control signals to the control device;
the control device is used for receiving the control signal output by the processor and controlling the fan system according to the control signal;
the man-machine interaction device is used for receiving the processor signal and outputting data and operation instructions calculated by the processor and real-time data executed according to the operation instructions through the interaction interface.
In the diagnosis and optimization system of the fan system, the processor comprises a database module and a calculation module,
the system comprises a database module, a calculation module, a control device and a human-computer interaction device, wherein the database module is used for storing standard data, the calculation module is used for calculating the running data of the fan system, comparing the running data with the standard data in the database, and automatically outputting a control signal to the control device on the premise of outputting a calculation result, an operation instruction and authorization to the human-computer interaction device.
In the diagnosis and tuning system of the fan system, after the calculation module obtains the operation parameters of each component of the fan system, the calculation result is compared with the standard data in the database, an abnormality is diagnosed and analyzed, and the abnormality is fed back to the human-computer interaction device.
In the diagnosis and optimization system of the fan system, the calculation module is further configured to update standard data of each component of the fan system.
In the diagnosis and optimization system of the fan system, the human-computer interaction device comprises an output module, and the output module is used for displaying the system abnormity on a panel.
By adopting the method for diagnosing and optimizing the fan system, the wind-coal ratio of the fan system in normal operation is acquired as
The boiler has the coal supply amount of
The required air volume of the air blower is as follows:
Wherein:
the cross sectional areas of different positions of the system are preset in a database according to the shaped air channel, and the flow velocities of different positions are obtained through a calculation module
；
The total pressure rise required to be provided by the fan is
Wherein:
the pressure is required for the boiler inlet and is generally relatively fixed;
resistance from fan outlet to boiler
，
Wherein the resistance of the damper
，
Is a valveThe resistance coefficient is preset in the database module according to the selected valve characteristics; resistance of pipeline
，
Presetting the resistance coefficient of the pipeline in a database module according to the characteristic of the shaped air channel;
by pairs
The real-time calculation is carried out, the calculation result is compared with a preset standard value in the database, when the deviation value is more than 10%, the fan system prompts abnormity through a human-computer interaction interface, and operation and maintenance personnel are instructed to check and repair, or the system can automatically adjust to correct the abnormity;
when the operation and maintenance personnel and the system can not be corrected to the preset value of the database by automatic adjustment, the system prompts the operation and maintenance personnel to update the preset standard value of the database through the human-computer interaction system, and the system automatically updates the standard data after the operation and maintenance personnel confirm.
In the diagnosis and optimization method of the fan system, the basis is
Wherein: etaInner part The internal efficiency of the fan; etaElectric machine Efficiency for a mating motor; etaMachine with a movable working part The transmission efficiency from the motor to the fan is generally 0.98-0.99; etaSpeed regulation For the speed regulation efficiency, the value of no speed regulation measure is 1, the value of variable frequency or permanent magnet is 0.94-0.97, and the value of the liquid couple is based on the actual condition;
according to the performance curve data of the fan, the difference is obtained
Theoretical operating power of fan under parameters
The standard data of (2) are stored in a database;
when the actual operation of the fan obtained by the calculation module
Comparing the standard value with a corresponding standard value in the database, and when the deviation value is more than 10%, prompting abnormality by the system through a human-computer interaction interface to instruct operation and maintenance personnel to check and overhaul or automatically correcting the system through adjustment;
when the operation and maintenance personnel and the system can not be corrected to the preset value of the database by automatic adjustment, the system prompts the operation and maintenance personnel to update the preset standard value of the database through the human-computer interaction system, and the system automatically updates the standard data after the operation and maintenance personnel confirm.
Compared with the prior art, the invention has the following advantages:
the parameters of the fan system in the running process are dynamically collected in real time, diagnosis and tuning guidance can be given, and standard data are continuously updated according to the tuning result, so that the fan system can better adapt to different system requirements.
Drawings
FIG. 1 is a schematic structural view of the present invention;
fig. 2 is a flow chart of the present invention.
Detailed Description
The invention is further illustrated by the following figures and examples, which are not to be construed as limiting the invention.
Example (b): a diagnosis and tuning system of a fan system is shown in figures 1 and 2 and comprises a collecting device, a processor, a control device and a human-computer interaction device;
the acquisition device is used for acquiring real-time operation parameters of the fan system and sending the operation parameters to the processor;
the processor is used for calculating the actual operation parameters of the fan system, comparing the calculation result with a database, and outputting information to the human-computer interaction device and control signals to the control device;
the control device is used for receiving the control signal output by the processor and controlling the fan system according to the control signal;
the man-machine interaction device is used for receiving the processor signal and outputting data and operation instructions calculated by the processor and real-time data executed according to the operation instructions through the interaction interface.
The processor comprises a database module and a calculation module,
the system comprises a database module, a calculation module, a control device and a human-computer interaction device, wherein the database module is used for storing standard data, the calculation module is used for calculating the running data of the fan system, comparing the running data with the standard data in the database, and automatically outputting a control signal to the control device on the premise of outputting a calculation result, an operation instruction and authorization to the human-computer interaction device.
And after the calculation module acquires the operation parameters of each component of the fan system, comparing the calculation result with the standard data in the database, diagnosing and analyzing the abnormality, and feeding the abnormality back to the human-computer interaction device.
The calculation module is also used for updating the standard data of each component of the fan system.
The man-machine interaction device comprises an output module, and the output module is used for displaying the system abnormity on a panel.
A method for diagnosing and optimizing a fan system takes a blower system matched with a 320t boiler in coal chemical engineering in a country as an example, the boiler can carry out air-coal ratio design on different coal types when being designed, and takes coal type 1 as an example, and the air-coal ratio of the fan system in normal operation is collected to be
The boiler has the coal supply amount of
The required air volume of the air blower is as follows:
Wherein:
the cross sectional areas of different positions of the system are preset in a database according to the shaped air channel, and the flow velocities of different positions are obtained through a calculation module
；
The total pressure rise required to be provided by the fan is
Wherein:
the pressure required for the boiler inlet is generally relatively fixed;
resistance from fan outlet to boiler
，
Wherein the resistance of the damper
，
Presetting the valve resistance coefficient in a database module according to the selected valve characteristics; resistance of pipeline
，
Presetting the resistance coefficient of the pipeline in a database module according to the characteristic of the shaped air channel;
by pairs
The real-time calculation is carried out, the calculation result is compared with a preset standard value in the database, when the deviation value is more than 10%, the fan system prompts abnormity through a human-computer interaction interface, and operation and maintenance personnel are instructed to check and repair, or the system can automatically adjust to correct the abnormity;
when the operation and maintenance personnel and the system can not be corrected to the preset value of the database by automatic adjustment, the system prompts the operation and maintenance personnel to update the preset standard value of the database through the human-computer interaction system, and the system automatically updates the standard data after the operation and maintenance personnel confirm.
According to
Wherein: etaInner part The internal efficiency of the fan; etaElectric machine Efficiency for a mating motor; etaMachine with a movable working part The transmission efficiency from the motor to the fan is generally 0.98-0.99; etaSpeed regulation For the speed regulation efficiency, the value of no speed regulation measure is 1, the value of variable frequency or permanent magnet is 0.94-0.97, and the value of the liquid couple is based on the actual condition;
according to the performance curve data of the fan, the difference is obtained
Theoretical operating power of fan under parameters
The standard data of (2) are stored in a database;
when the actual operation of the fan obtained by the calculation module
Comparing the standard value with a corresponding standard value in the database, and when the deviation value is more than 10%, prompting abnormality by the system through a human-computer interaction interface to instruct operation and maintenance personnel to check and overhaul or automatically correcting the system through adjustment;
when the operation and maintenance personnel and the system can not be corrected to the preset value of the database by automatic adjustment, the system prompts the operation and maintenance personnel to update the preset standard value of the database through the human-computer interaction system, and the system automatically updates the standard data after the operation and maintenance personnel confirm.
The boiler blower system of the embodiment continuously diagnoses and optimizes the operation of the blower system according to the steps, and continuously matches the database with the blower system of the embodiment by combining the optimization result, so that the blower system of the embodiment can finally find the abnormality of the operation in real time, help is provided for the daily operation of operation and maintenance personnel, the stability of the operation of the blower is improved, and the energy consumption is reduced.
Claims (7)
1. A diagnosis tuning system of a fan system is characterized in that: comprises a collecting device, a processor, a control device and a man-machine interaction device;
the acquisition device is used for acquiring real-time operation parameters of the fan system and sending the operation parameters to the processor;
the processor is used for calculating the actual operation parameters of the fan system, comparing the calculation result with a database, and outputting information to the human-computer interaction device and control signals to the control device;
the control device is used for receiving the control signal output by the processor and controlling the fan system according to the control signal;
the man-machine interaction device is used for receiving the processor signal and outputting data calculated by the processor, operation instructions and real-time data executed according to the operation instructions through the interaction interface.
2. The diagnostic tuning system of a fan system of claim 1, wherein: the processor comprises a database module and a calculation module,
the system comprises a database module, a calculation module, a control device and a human-computer interaction device, wherein the database module is used for storing standard data, the calculation module is used for calculating the running data of the fan system, comparing the running data with the standard data in the database, and automatically outputting a control signal to the control device on the premise of outputting a calculation result, an operation instruction and authorization to the human-computer interaction device.
3. The system of claim 2, wherein the calculation module compares the calculation result with the standard data in the database after acquiring the operating parameters of the components of the fan system, diagnoses and analyzes an abnormality, and feeds the abnormality back to the human-computer interaction device.
4. The diagnostic tuning system of a wind turbine system of claim 3, wherein the computing module is further configured to update the calibration data for each component of the wind turbine system.
5. The diagnostic tuning system of a wind turbine system of claim 3, wherein the human-machine interaction device comprises an output module for displaying the system anomaly on a panel.
6. The diagnostic tuning method using the system of any one of claims 1 to 5, wherein the wind-coal ratio of the wind turbine system during normal operation is collected
The boiler has the coal supply amount of
The required air volume of the air blower is as follows:
Wherein:
the cross sectional areas of different positions of the system are preset in a database according to the shaped air channel, and the flow velocities of different positions are obtained through a calculation module
；
The total pressure rise required to be provided by the fan is
Wherein:
requiring pressure for the boiler inlet;
resistance from fan outlet to boiler
，
Wherein the resistance of the damper
，
Presetting the valve resistance coefficient in a database module according to the selected valve characteristics; resistance of pipeline
，
Presetting the resistance coefficient of the pipeline in a database module according to the characteristic of the shaped air channel;
by pairs
The real-time calculation is carried out, the calculation result is compared with a preset standard value in the database, when the deviation value is larger than 10%, the fan system prompts abnormity through a human-computer interaction interface, and operation and maintenance personnel are instructed to check and repair, or the system automatically corrects the abnormal condition through adjustment;
when the operation and maintenance personnel and the system can not be corrected to the preset value of the database by automatic adjustment, the system prompts the operation and maintenance personnel to update the preset standard value of the database through the human-computer interaction system, and the system automatically updates the standard data after the operation and maintenance personnel confirm.
7. The diagnostic tuning method of claim 6, based on
Wherein: etaInner part The internal efficiency of the fan; etaElectric machine Efficiency for a mating motor; etaMachine with a movable working part The transmission efficiency from the motor to the fan is generally 0.98-0.99; etaSpeed regulation For the speed regulation efficiency, the value of no speed regulation measure is 1, the value of variable frequency or permanent magnet is 0.94-0.97, and the value of the liquid couple is based on the actual condition;
according to the performance curve data of the fan, the difference is obtained
Theoretical operating power of fan under parameters
The standard data of (2) are stored in a database;
when the actual operation of the fan obtained by the calculation module
Comparing the standard value with a corresponding preset standard value in the database, and when the deviation value is more than 10%, prompting abnormality through a human-computer interaction interface by the system to indicate operation and maintenance personnel to check and overhaul or automatically adjusting the system to correct;
when the operation and maintenance personnel and the system can not be corrected to the preset value of the database by automatic adjustment, the system prompts the operation and maintenance personnel to update the preset standard value of the database through the human-computer interaction system, and the system automatically updates the standard data after the operation and maintenance personnel confirm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210808054.5ACN114881375A (en) | 2022-07-11 | 2022-07-11 | Diagnosis and tuning system and method of fan system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210808054.5ACN114881375A (en) | 2022-07-11 | 2022-07-11 | Diagnosis and tuning system and method of fan system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114881375Atrue CN114881375A (en) | 2022-08-09 |
Family
ID=82682869
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210808054.5APendingCN114881375A (en) | 2022-07-11 | 2022-07-11 | Diagnosis and tuning system and method of fan system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114881375A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN120102140A (en)* | 2025-05-07 | 2025-06-06 | 浙江科维节能技术股份有限公司 | Condensate pump shaft vibration fault diagnosis method, device and medium based on multi-parameter analysis |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090137199A1 (en)* | 2007-11-28 | 2009-05-28 | Young-Chun Jeung | Method of constant rpm control for a ventilation system |
| CN105736434A (en)* | 2016-02-02 | 2016-07-06 | 华能国际电力股份有限公司 | Performance monitoring method and system for power plant fan |
| CN107228088A (en)* | 2017-05-31 | 2017-10-03 | 上海明华电力技术工程有限公司 | A kind of pressure fan RB control methods based on blower system status monitoring |
| CN113007123A (en)* | 2021-03-08 | 2021-06-22 | 国家能源集团国源电力有限公司 | Control method and device of induced draft fan, electronic equipment and storage medium |
| CN113153794A (en)* | 2021-04-06 | 2021-07-23 | 新奥数能科技有限公司 | Cloud computing-based fan online monitoring method, device and system |
| CN113431800A (en)* | 2021-07-16 | 2021-09-24 | 西安热工研究院有限公司 | Method for distinguishing running state of fan in real time |
- 2022
- 2022-07-11CNCN202210808054.5Apatent/CN114881375A/enactivePending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090137199A1 (en)* | 2007-11-28 | 2009-05-28 | Young-Chun Jeung | Method of constant rpm control for a ventilation system |
| CN105736434A (en)* | 2016-02-02 | 2016-07-06 | 华能国际电力股份有限公司 | Performance monitoring method and system for power plant fan |
| CN107228088A (en)* | 2017-05-31 | 2017-10-03 | 上海明华电力技术工程有限公司 | A kind of pressure fan RB control methods based on blower system status monitoring |
| CN113007123A (en)* | 2021-03-08 | 2021-06-22 | 国家能源集团国源电力有限公司 | Control method and device of induced draft fan, electronic equipment and storage medium |
| CN113153794A (en)* | 2021-04-06 | 2021-07-23 | 新奥数能科技有限公司 | Cloud computing-based fan online monitoring method, device and system |
| CN113431800A (en)* | 2021-07-16 | 2021-09-24 | 西安热工研究院有限公司 | Method for distinguishing running state of fan in real time |
Non-Patent Citations (4)
| Title |
|---|
| 史大桢: "《总工程师新技术研究班讲义 30万千瓦机组设备特点汇编》", 30 April 1982* |
| 张令，等: "火电厂引风机故障预警与诊断综述", 《仪器仪表用户》* |
| 张磊，等: "《大型火力发电机组故障分析》", 31 July 2007, 中国电力出版社* |
| 锅炉房使用设计手册编写组: "《锅炉房实用设计手册》", 31 January 2001, 机械工业出版社* |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN120102140A (en)* | 2025-05-07 | 2025-06-06 | 浙江科维节能技术股份有限公司 | Condensate pump shaft vibration fault diagnosis method, device and medium based on multi-parameter analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7720575B2 (en) | Pipeline flow control optimization software methods | |
| CN109631078B (en) | Gas water heater and fan self-correction control method and control system thereof | |
| CN1143971C (en) | Diagnostic device and method for a pressure regulator | |
| CN109458355B (en) | Compressor surge control method and compressor surge control system | |
| CN110778507B (en) | Nonlinear compensation control method for steam inlet regulating valve of steam feed pump | |
| CN103471215B (en) | A kind of connected unit adaptive controller | |
| EP3771008B1 (en) | Fuel cell system | |
| EP2660527B1 (en) | Method for tuning a ventilation system | |
| EP1446581B1 (en) | Management and optimization of load sharing between multiple compressor trains for controlling a main process gas variable | |
| US20130243574A1 (en) | Operation control apparatus and operation control method for steam turbine | |
| CN101438039B (en) | Modular fuel supply device for a gas turbine | |
| CN114881375A (en) | Diagnosis and tuning system and method of fan system | |
| CN107101381B (en) | Gas water heater with gas pressure sensor and control system thereof | |
| DK2875276T3 (en) | SYSTEM AND METHOD OF MANAGING MULTIPLE CURRENT COMPRESSOR | |
| CN103291596A (en) | Compressor flow control system based on clearance is adjusted | |
| CN111219520A (en) | PLC-based electric valve control system and use method thereof | |
| CN113094896A (en) | Power plant heat supply unit optimization control method | |
| CN109409740B (en) | Method for checking quality of wind power generation data based on Pearson correlation coefficient | |
| CN119594002A (en) | Energy-saving optimal control method and system for air compressor and readable storage medium | |
| CN118391768A (en) | A high accuracy intelligent new trend system for environmental monitoring | |
| CN202560605U (en) | Multistage compressor control system | |
| CN116181679B (en) | Compressor surge control system | |
| CN103671060A (en) | Sensor-free constant current pump valve integrated device | |
| CN117682656A (en) | System and method for calculating and controlling AAO sewage treatment process gas quantity | |
| CN114460985B (en) | Storage tank pressurization control system and control method based on single chip microcomputer |
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 | ||
| RJ01 | Rejection of invention patent application after publication | Application publication date:20220809 | |
| RJ01 | Rejection of invention patent application after publication |