CN110532597B - Air compressor set adjusting and assembling system and method based on pressure track prediction and time nodes - Google Patents
Air compressor set adjusting and assembling system and method based on pressure track prediction and time nodes Download PDFInfo
- Publication number
- CN110532597B CN110532597B CN201910647661.6A CN201910647661A CN110532597B CN 110532597 B CN110532597 B CN 110532597B CN 201910647661 A CN201910647661 A CN 201910647661A CN 110532597 B CN110532597 B CN 110532597B
- Authority
- CN
- China
- Prior art keywords
- pressure
- air compressor
- unit
- data
- collecting
- 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.)
- Active
Links
Images
Landscapes
- Control Of Positive-Displacement Pumps (AREA)
Abstract
The invention provides an air compressor set allocation system and method based on pressure track prediction and time nodes, wherein the system comprises the following steps: the data tracking and collecting unit is used for tracking and collecting pressure data of a plurality of production tail ends of a factory; the data analysis storage unit is used for calculating the descending slope of the pressure and storing the amplitude and time nodes of the sudden pressure drop caused by different slope changes; the fuzzy control library establishing unit is used for counting time nodes of the terminal pressure dip to form a fuzzy control library; the trend simulation unit is used for recording daily pressure fluctuation conditions and performing pressure track trend simulation; the prejudgment execution unit is used for prejudging according to the trend simulation result and the time node rule and sending a control instruction to the air compressor in advance to carry out pressure lifting; and the recovery unit is used for recovering the pressure of the air compressor to the original pressure after the tail end flow is stable. The invention solves the problems of waste caused by supplying high pressure more than needed and impact on equipment caused by high pressure supply.
Description
Technical Field
The invention relates to the technical field of air compressor unit allocation, in particular to an air compressor unit allocation system and method based on pressure track prediction and time nodes.
Background
Most of the use of industrial enterprise compressed air is in the many first application states today, and the demand is extremely unstable, and the pipe network is too complicated, because the increase of enterprise productivity or the promotion of technology etc. in the development process for current compressed air system does not match with initial design, leads to the buffer configuration unreasonable, and the pipe network that lacks system design increases the overlength, therefore the terminal air fluctuation of pipe network hardly feeds back the control end of air compressor machine in time. And the demand control point of the automatic control of all the existing air compressor groups is generally at the starting end of a pipe network (on a buffer tank behind a dryer), and although the basic functions of remote control, automatic start and stop and the like of the air compressor groups are achieved, the output pressure fluctuation of a station room is stabilized to a certain extent, the problem that the pressure of the tail end is suddenly reduced along with the fluctuation of flow due to the overlong pipe network cannot be solved, so that the pressure has to be increased and output at the control end, and great waste is caused.
Disclosure of Invention
The invention aims to solve the technical problems of providing an air compressor set allocation system and method based on pressure track prediction and time nodes, meeting the requirements of industrial enterprises on production continuity and pressure stability of equipment, and solving the problems of unreasonable selection of control demand points and great waste caused by high-pressure supply of control ends of the traditional automatic control system.
In order to solve the above technical problem, an embodiment of the present invention provides an air compressor set allocation system based on pressure trajectory prediction and time nodes, including:
the data tracking and collecting unit is used for tracking and collecting pressure data of a plurality of production terminals of a factory;
the data analysis storage unit is used for calculating a pressure descending slope according to the acquired data and storing the amplitude of the end pressure sudden drop and the time node of the sudden drop caused by different slope changes;
the fuzzy control library establishing unit is used for counting time nodes of the terminal pressure dip to form a fuzzy control library;
the trend simulation unit is used for recording the pressure fluctuation condition every day and carrying out pressure track trend simulation;
the prejudgment execution unit is used for prejudging according to the trend simulation result and the time node rule obtained by the fuzzy control library and sending a control instruction to the air compressor in advance to carry out pressure lifting;
and the recovery unit is used for recovering the pressure of the air compressor to the original pressure after the tail end flow is stable.
Preferably, the data tracking and collecting unit comprises a pressure transmitter, and the pressure transmitter is used for tracking and collecting pressure data of a plurality of production terminals of the factory.
Preferably, the data analysis storage unit, the fuzzy control library establishing unit and the trend simulation unit realize respective functions through an industrial personal computer, a PLC (programmable logic controller) and configuration software, wherein the industrial personal computer is used for data analysis and storage, the PLC is used for overall control of a system, and the configuration software is used for man-machine interaction display, alarm display, report generation and historical data query.
Preferably, the prejudgment execution unit and the recovery unit comprise an air compressor specific control module, and the air compressor specific control module is used for carrying program codes for communication interaction with the air compressor and sending a control instruction to the air compressor for control.
Preferably, the air compressor unit allocation system further comprises an isolation unit, wherein the isolation unit comprises a 485 isolator and is used for protecting the normal operation of communication between the air compressor special control module and the air compressor.
Preferably, the air compressor unit allocation system further comprises a human-computer interaction unit, and the human-computer interaction unit comprises a touch screen.
The embodiment of the invention also provides an air compressor unit allocation method based on pressure track prediction and time nodes, which comprises the following steps:
tracking and collecting pressure data of a plurality of production terminals of a factory;
calculating a pressure descending slope according to the acquired data, and storing the amplitude of the end pressure sudden drop and the time node of the sudden drop caused by different slope changes;
counting time nodes of terminal sudden pressure drop to form a fuzzy control library;
recording daily pressure fluctuation conditions, and performing pressure track trend simulation;
pre-judging according to the trend simulation result and a time node rule obtained by a fuzzy control library, and sending a control instruction to the air compressor in advance to carry out pressure lifting;
and after the tail end flow is stable, the pressure of the air compressor is restored to the original pressure.
Preferably, the time for trace acquisition of pressure data from multiple production ends of a plant is at least one month.
Preferably, the content of tracking and collecting the pressure data of a plurality of production terminals of the factory comprises: and collecting the exhaust pressure and the operating power of the air compressor, the pressure of a main pipe, the pressure and the flow of a tail-end production workshop.
The technical scheme of the invention has the following beneficial effects:
compared with the traditional air compressor group control system, the air compressor group control system has the advantages that the system intelligence degree is improved, the prediction function is implanted for the first time, dynamic demand control is provided, predictive supply is carried out according to the demand changing constantly, waste caused by high-pressure supply larger than the demand is solved, overload impact on equipment caused by high-pressure supply of a production end is solved, and the problem of pressure drop caused by flow fluctuation is solved.
Drawings
Fig. 1 is a schematic structural diagram of an air compressor unit dispatching system according to an embodiment of the present invention;
fig. 2 is a schematic work flow diagram of an air compressor set dispatching system according to an embodiment of the present invention;
fig. 3 is a flowchart of an air compressor set dispatching method according to an embodiment of the present invention.
Detailed Description
To make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The embodiment of the invention firstly provides an air compressor unit allocation system based on pressure track prediction and time nodes, as shown in fig. 1, the air compressor unit allocation system comprises:
the data tracking and collecting unit 101 is used for tracking and collecting pressure data of a plurality of production terminals of a factory;
the data analysis storage unit 102 is used for calculating a pressure descending slope according to the acquired data, and storing the amplitude of the terminal pressure dip and the time node of the dip caused by different slope changes;
a fuzzy control library establishing unit 103, configured to count time nodes of terminal pressure dips to form a fuzzy control library;
the trend simulation unit 104 is used for recording the daily pressure fluctuation condition and carrying out pressure track trend simulation;
the prejudgment execution unit 105 is used for prejudging according to the trend simulation result and the time node rule obtained by the fuzzy control library, and sending a control instruction to the air compressor in advance for pressure lifting;
and the recovery unit 106 is used for recovering the pressure of the air compressor to the original pressure after the tail end flow is stable.
Fig. 2 is a schematic workflow diagram of an air compressor unit dispatching system according to an embodiment of the present invention, which is described in detail as follows: "end" represents a manufacturing plant; "P" represents the corresponding pressure in the production plant. The working process is as follows: tracking and collecting pressure data of a plurality of production terminals of a factory; calculating the descending slope of the pressure through a specific model, and then storing the amplitude of the terminal pressure dip and the time of the dip caused by different slope changes; counting time nodes of sudden pressure drop to form a fuzzy control library; performing pressure track trend simulation according to daily recorded pressure fluctuation conditions; pre-judging according to a pressure track trend simulation result and a time rule obtained by combining a fuzzy control library, and sending a control instruction to the air compressor in advance to carry out pressure lifting; when the tail end flow tends to be stable, the pressure of the air compressor is restored to the original pressure.
Compared with the traditional air compressor group control system, the air compressor group control system has the advantages that the system intelligence degree is improved, the prediction function is implanted for the first time, dynamic demand control is provided, predictive supply is carried out according to the demand changing constantly, waste caused by high-pressure supply larger than required is solved, overload impact on equipment caused by high-pressure supply of a production end is solved, and the problem of sudden pressure drop caused by flow fluctuation is solved.
Preferably, the data trace collection unit 101 comprises a pressure transmitter for trace collection of pressure data from multiple production ends of a plant.
Preferably, the data analysis storage unit 102, the fuzzy control library establishing unit 103 and the trend simulation unit 104 realize respective functions through an industrial personal computer, a PLC controller and configuration software, wherein the industrial personal computer is used for data analysis and storage, the PLC controller is used for overall control of the system, and the configuration software is used for man-machine interaction display, alarm display, report generation and historical data query.
Preferably, the prejudgment execution unit 105 and the recovery unit 106 include an air compressor specific control module, and the air compressor specific control module is configured to carry program codes for performing communication interaction with the air compressor, and send a control instruction to the air compressor for control.
Preferably, the air compressor unit allocation system further comprises an isolation unit, wherein the isolation unit comprises a 485 isolator and is used for protecting normal operation of communication between the air compressor special control module and the air compressor.
Preferably, the air compressor unit allocation system further comprises a human-computer interaction unit, wherein the human-computer interaction unit comprises a touch screen and can realize functions of data display, alarm display, instruction input and the like.
Correspondingly, an embodiment of the present invention further provides an air compressor unit allocation method based on pressure trajectory prediction and time node, as shown in fig. 3, the air compressor unit allocation method includes the following steps:
tracking and collecting pressure data of a plurality of production terminals of a factory;
calculating a pressure descending slope according to the acquired data, and storing the amplitude of the end pressure sudden drop and the time node of the sudden drop caused by different slope changes;
counting time nodes of terminal sudden pressure drop to form a fuzzy control library;
recording daily pressure fluctuation conditions, and performing pressure track trend simulation;
pre-judging according to the trend simulation result and a time node rule obtained by a fuzzy control library, and sending a control instruction to the air compressor in advance to carry out pressure lifting;
and the recovery unit is used for recovering the pressure of the air compressor to the original pressure after the tail end flow is stable.
To meet the accuracy and stability of the predictive function, the pressure data from multiple production ends of the plant is tracked for at least one month.
Preferably, the tracking and collecting of pressure data from a plurality of production terminals of the plant comprises: and collecting the exhaust pressure and the operating power of the air compressor, the pressure of a main pipe, the pressure and the flow of a tail-end production workshop. The data are collected to carry out big data analysis, a fuzzy control library containing a basic slope and a pressure fluctuation starting time node and a corresponding mathematical model are formed, and sufficient data support is provided for subsequent prediction.
Specific examples of applications of the present invention are as follows: the number of the air compressor station house units is more than or equal to 2, and the air compressor has a basic RS485/RS232/PROFIBUS-DP communication mode and is mainly oriented to the group control of the centrifuge; the method comprises the steps of collecting a plurality of pressure points with large fluctuation range at an inlet of a production workshop of a certain factory, sequencing and determining a time law of pressure reduction caused by flow fluctuation of each workshop, performing trend prediction through a pressure fluctuation law, and adjusting set pressure parameters of an air compressor in advance by combining the time law, so that the stability of the production pressure of each workshop is ensured.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (9)
1. An air compressor set dispatching system based on pressure track prediction and time node is characterized by comprising: the data tracking and collecting unit is used for tracking and collecting pressure data of a plurality of production terminals of a factory; the data analysis storage unit is used for calculating a pressure descending slope according to the acquired data and storing the amplitude of the terminal pressure dip and the time node of the dip caused by different slope changes; the fuzzy control library establishing unit is used for counting time nodes of the terminal pressure dip to form a fuzzy control library; the trend simulation unit is used for recording the daily pressure fluctuation condition and carrying out pressure track trend simulation; the pre-judgment execution unit is used for pre-judging according to the trend simulation result and the time node rule obtained by the fuzzy control library and sending a control instruction to the air compressor in advance to carry out pressure lifting; and the recovery unit is used for recovering the pressure of the air compressor to the original pressure after the tail end flow is stable.
2. The air compressor bank dispatching system of claim 1, wherein the data tracking and collecting unit comprises a pressure transmitter for tracking and collecting pressure data of a plurality of production terminals of a factory.
3. The air compressor assembly system according to claim 1, wherein the data analysis and storage unit, the fuzzy control library establishing unit and the trend simulation unit realize respective functions through an industrial personal computer, a PLC (programmable logic controller) and configuration software, wherein the industrial personal computer is used for data analysis and storage, the PLC is used for overall control of the system, and the configuration software is used for man-machine interaction display, alarm display, report generation or historical data query.
4. The air compressor assembly dispatching system of claim 1, wherein the anticipation execution unit and the recovery unit comprise an air compressor specific control module, and the air compressor specific control module is configured to carry program codes for communication interaction with the air compressor and send control commands to the air compressor for control.
5. The air compressor unit deployment system of claim 4, further comprising an isolation unit, wherein the isolation unit comprises a 485 isolator for protecting normal operation of communication between the air compressor specific control module and the air compressors.
6. The air compressor unit dispatching system of any one of claims 1-5, wherein the air compressor unit dispatching system further comprises a human-machine interaction unit, the human-machine interaction unit comprising a touch screen.
7. An air compressor set allocation method based on pressure track prediction and time nodes is characterized by comprising the following steps: tracking and collecting pressure data of a plurality of production terminals of a factory; calculating a pressure descending slope according to the acquired data, and storing the amplitude of the terminal pressure dip and the time node of the dip caused by different slope changes; counting time nodes of terminal sudden pressure drop to form a fuzzy control library; recording daily pressure fluctuation conditions, and performing pressure track trend simulation; pre-judging according to the trend simulation result and a time node rule obtained by a fuzzy control library, and sending a control instruction to the air compressor in advance to carry out pressure lifting; and after the tail end flow is stable, the pressure of the air compressor is restored to the original pressure.
8. The air compressor bank blending method of claim 7, wherein the time for tracking and collecting the pressure data of the plurality of production ends of the factory is at least one month.
9. The air compressor set allocation method according to claim 7, wherein the tracking and collecting of the pressure data of a plurality of production terminals of the factory comprises: and collecting the exhaust pressure and the operating power of the air compressor, the pressure and the flow of a tail-end production workshop and the pressure of a main pipe.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910647661.6A CN110532597B (en) | 2019-07-17 | 2019-07-17 | Air compressor set adjusting and assembling system and method based on pressure track prediction and time nodes |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910647661.6A CN110532597B (en) | 2019-07-17 | 2019-07-17 | Air compressor set adjusting and assembling system and method based on pressure track prediction and time nodes |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110532597A CN110532597A (en) | 2019-12-03 |
| CN110532597B true CN110532597B (en) | 2023-01-31 |
Family
ID=68660733
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910647661.6A Active CN110532597B (en) | 2019-07-17 | 2019-07-17 | Air compressor set adjusting and assembling system and method based on pressure track prediction and time nodes |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110532597B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114659028A (en) * | 2022-03-23 | 2022-06-24 | 乔治洛德方法研究和开发液化空气有限公司 | Method and apparatus for controlling gas supply of gas supply system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101526080A (en) * | 2008-03-05 | 2009-09-09 | 北京丰电科技发展有限公司 | System and method for energy-saving control of compressor unit |
| JP2013194628A (en) * | 2012-03-21 | 2013-09-30 | Sumitomo Metal Mining Co Ltd | Air compressor control method and air compressor control system |
| CN105156327A (en) * | 2015-09-30 | 2015-12-16 | 深圳德尔科机电环保科技有限公司 | Energy-saving control method for compressed air industrial screw-type air compressor group control system |
| CN105201805A (en) * | 2015-10-16 | 2015-12-30 | 宝钢发展有限公司 | Air compressor set intelligent control system and method based on user informatization allocation |
| CN105930557A (en) * | 2016-04-08 | 2016-09-07 | 辽宁石油化工大学 | Natural gas pipeline network transport simulation method and implementation system |
| WO2016207165A1 (en) * | 2015-06-23 | 2016-12-29 | Abb Schweiz Ag | Method of controlling a compressor system during voltage dips |
| KR20170053907A (en) * | 2015-11-09 | 2017-05-17 | 대우조선해양 주식회사 | Supply control apparatus of compressed air based demand prediction and method thereof |
| WO2018092866A1 (en) * | 2016-11-17 | 2018-05-24 | 株式会社日立産機システム | Terminal pressure control device and terminal pressure control method |
| JP2018168903A (en) * | 2017-03-29 | 2018-11-01 | 三浦工業株式会社 | Compressed air supply system |
-
2019
- 2019-07-17 CN CN201910647661.6A patent/CN110532597B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101526080A (en) * | 2008-03-05 | 2009-09-09 | 北京丰电科技发展有限公司 | System and method for energy-saving control of compressor unit |
| JP2013194628A (en) * | 2012-03-21 | 2013-09-30 | Sumitomo Metal Mining Co Ltd | Air compressor control method and air compressor control system |
| WO2016207165A1 (en) * | 2015-06-23 | 2016-12-29 | Abb Schweiz Ag | Method of controlling a compressor system during voltage dips |
| CN105156327A (en) * | 2015-09-30 | 2015-12-16 | 深圳德尔科机电环保科技有限公司 | Energy-saving control method for compressed air industrial screw-type air compressor group control system |
| CN105201805A (en) * | 2015-10-16 | 2015-12-30 | 宝钢发展有限公司 | Air compressor set intelligent control system and method based on user informatization allocation |
| KR20170053907A (en) * | 2015-11-09 | 2017-05-17 | 대우조선해양 주식회사 | Supply control apparatus of compressed air based demand prediction and method thereof |
| CN105930557A (en) * | 2016-04-08 | 2016-09-07 | 辽宁石油化工大学 | Natural gas pipeline network transport simulation method and implementation system |
| WO2018092866A1 (en) * | 2016-11-17 | 2018-05-24 | 株式会社日立産機システム | Terminal pressure control device and terminal pressure control method |
| JP2018168903A (en) * | 2017-03-29 | 2018-11-01 | 三浦工業株式会社 | Compressed air supply system |
Non-Patent Citations (1)
| Title |
|---|
| 基于PLC技术在空压机排气压力性能试验自动检测与控制系统的研究;李娟娟;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20140115;第3.3-5.5节 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110532597A (en) | 2019-12-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110486261B (en) | Air compressor set allocation system and method based on multipoint pressure track prediction | |
| CN104808592B (en) | A kind of digital control system based on virtual upper computer | |
| CN101303586A (en) | Electric dust removal control system and control method thereof | |
| CN102222270B (en) | Manufacture and perform management system and production curves device | |
| CN111706608A (en) | Man-machine interaction method for magnetic suspension bearing | |
| WO2018184166A1 (en) | Distributed real-time data server | |
| CN110532597B (en) | Air compressor set adjusting and assembling system and method based on pressure track prediction and time nodes | |
| CN102880149A (en) | Distributed type control system and data report generation method | |
| CN103049551A (en) | Method for automatic association of data points of database in configuration software | |
| CN103760856A (en) | Process control method for cold-rolled strip steel leveling unit | |
| CN101739010A (en) | Embedded data acquisition device | |
| CN112288170A (en) | Power plant unit working condition optimizing analysis method based on big data analysis | |
| CN102497135A (en) | Rule-engine-based method for monitoring photovoltaic power station | |
| CN112907911A (en) | Intelligent anomaly identification and alarm algorithm based on equipment process data | |
| CN110222100B (en) | Processing method, system and storage medium based on big data display process timing diagram | |
| CN111400900A (en) | Object-oriented equipment modeling method and system | |
| CN110701029B (en) | Air compressor set allocation system and method based on pressure track prediction and pipe network pressure loss | |
| Gan et al. | IoT-enabled energy efficiency monitoring and analysis method for energy saving in sheet metal forming workshop | |
| CN112033453A (en) | Data acquisition and monitoring system based on welding machine | |
| CN111832805A (en) | Economic early warning analysis system and method based on electric power big data | |
| CN110782545A (en) | Equipment management system and method | |
| CN111030862B (en) | Equipment off-line management system based on acquisition terminal | |
| CN112596478B (en) | WCS warehouse control system architecture and implementation method | |
| CN202018594U (en) | Viscose staple-fiber production-process control system | |
| CN112947281B (en) | Automobile production line safety monitoring system and method based on PLC control |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |