CN110486261B - Air compressor set allocation system and method based on multipoint pressure track prediction - Google Patents
Air compressor set allocation system and method based on multipoint pressure track prediction Download PDFInfo
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- CN110486261B CN110486261B CN201910647662.0A CN201910647662A CN110486261B CN 110486261 B CN110486261 B CN 110486261B CN 201910647662 A CN201910647662 A CN 201910647662A CN 110486261 B CN110486261 B CN 110486261B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B49/00—Control, 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
- F04B49/06—Control using electricity
- F04B49/065—Control using electricity and making use of computers
Abstract
The invention provides an air compressor set allocation system and method based on multipoint pressure track prediction, wherein the system comprises: 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 a pressure starting slope according to the acquired data and storing the time of the sudden drop of the terminal pressure caused by different slope changes; the trend simulation unit is used for performing track trend simulation through the regression prediction model; the pre-judging unit is used for pre-judging the time of the next terminal pressure dip according to the result of the trend simulation; the execution unit is used for sending a control instruction to the air compressor for pressure lifting according to the pre-judged time of the next terminal pressure sudden drop in advance by the preset time; 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 waste caused by supplying high voltage more than needed and the overload impact of the high voltage supply at the production end on equipment.
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 multipoint pressure trajectory prediction.
Background
Most of the compressed air of industrial enterprises is in a multi-element application state nowadays, the demand is extremely unstable, the pipe network is too complex, and due to the increase of the capacity of the enterprises in the development process or the improvement of the process and the like, the current compressed air system is not matched with the initial design, so that the buffer configuration is unreasonable, the pipe network lacking the system design is increased too long, and therefore the air fluctuation at the tail end of the pipe network is difficult to feed back to the control end of the air compressor in time.
In addition, 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 drying machine), 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 fact that the pipe network is too long cannot be solved, and therefore 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 multipoint pressure trajectory prediction, 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 overlong machine output response time 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 dispatching system based on multipoint pressure trajectory prediction, including:
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 a pressure starting slope according to the acquired data and storing the amplitude of the end pressure dip and the time of the dip caused by different slope changes;
the trend simulation unit is used for performing track trend simulation through a regression prediction model according to the recorded time of each terminal sudden pressure drop;
the pre-judging unit is used for pre-judging the time of the next terminal pressure dip according to the result of the trend simulation;
the execution unit is used for sending a control instruction to the air compressor for pressure lifting according to the pre-judged time of the next terminal pressure sudden drop in advance by the preset time;
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 trend simulation unit and the pre-judgment unit 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 execution unit and the recovery unit include an air compressor specific control module, and the air compressor specific control module is used for carrying program codes for performing communication interaction with the air compressor and sending a control instruction to control the air compressor.
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 set allocation method based on multipoint pressure trajectory prediction, which comprises the following steps:
tracking and collecting pressure data of a plurality of production terminals of a factory;
calculating a pressure starting slope according to the acquired data, and storing the amplitude of the end pressure dip and the time of the dip caused by different slope changes;
according to the recorded time of each terminal sudden pressure drop, performing track trend simulation through a regression prediction model;
pre-judging the time of the next sudden pressure drop of the tail end according to the result of the trend simulation;
sending a control instruction to an air compressor for pressure lifting according to the predicted time for next terminal pressure sudden drop and preset time in advance;
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.
Preferably, the step of sending the control instruction to the air compressor for pressure lifting in advance is carried out by sending the control instruction to the air compressor for pressure lifting in advance for 20 minutes.
The technical scheme of the invention has the following beneficial effects:
compared with the traditional air compressor group control system, the intelligent degree of the system is improved, the prediction function is implanted for the first time, dynamic demand control is provided, matching supply is carried out according to the demand changing constantly, waste caused by high-pressure supply larger than the demand is solved, and overload impact on equipment caused by high-pressure supply of a production end 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 workflow diagram of an air compressor unit dispatching system according to an embodiment of the present invention;
fig. 3 is a flowchart of an air compressor set allocation method according to an embodiment of the present invention.
Detailed Description
In order 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 present invention first provides an air compressor unit dispatching system based on multipoint pressure trajectory prediction, as shown in fig. 1, the air compressor unit dispatching system includes:
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 starting slope according to the acquired data, and storing the amplitude of the end pressure dip and the time of the dip caused by different slope changes;
the trend simulation unit 103 is used for performing track trend simulation through a regression prediction model according to the recorded time of each terminal pressure dip;
the pre-judging unit 104 is used for pre-judging the time of the next terminal pressure dip according to the result of the trend simulation;
the execution unit 105 is used for sending a control instruction to the air compressor for pressure lifting according to the predicted time of the next terminal pressure sudden drop and the preset time in advance;
and a restoring unit 106 for restoring the pressure of the air compressor to the original pressure after the end flow is stabilized.
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 'simultaneous start grouping' represents the air compressors which have pressure fluctuation at the same time and accord with the unit slope corresponding to the unit slope library.
The working process is as follows: tracking and collecting pressure data P of a plurality of production terminals of a factory; calculating the pressure starting slope through a correlation change rate model, and then storing the amplitude of the terminal pressure dip and the time of the dip caused by different slope changes; track trend simulation is carried out through a regression prediction model by recording the time of each terminal sudden pressure drop; the time of the next sudden pressure drop is judged in advance according to the simulation trend, and a control instruction is sent to the air compressor for pressure increase within a preset time (for example, 20 minutes); 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 intelligent degree of the system is improved, the prediction function is implanted for the first time, dynamic demand control is provided, matching supply is carried out according to the demand changing constantly, waste caused by high-pressure supply larger than the demand is solved, and overload impact on equipment caused by high-pressure supply of a production end 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 and storage unit 102, the trend simulation unit 103 and the pre-judgment 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 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 controlling.
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, and the human-computer interaction unit comprises a touch screen. The touch screen 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 multipoint pressure trajectory prediction, and 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 starting slope according to the acquired data, and storing the amplitude of the end pressure dip and the time of the dip caused by different slope changes;
according to the recorded time of each terminal sudden pressure drop, performing track trend simulation through a regression prediction model;
pre-judging the time of the next sudden pressure drop of the tail end according to the result of the trend simulation;
sending a control instruction to an air compressor for pressure lifting according to the predicted time for next terminal pressure sudden drop and preset time in advance;
and after the tail end flow is stable, the pressure of the air compressor is restored to the original pressure.
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 database containing a basic slope and a dip time and a corresponding mathematical model are formed, and sufficient data support is provided for subsequent prediction.
Preferably, the preset time is advanced to send a control command to the air compressor for pressure lifting, and the preset time is advanced to send a control command to the air compressor for pressure lifting within 20 minutes.
Specific examples of applications of the present invention are as follows: the number of the units of the air compressor station house 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 the pressure reduction slope when the flow of each workshop fluctuates and the time when the fluctuation occurs, performing trend prediction according to the time node rule of the pressure fluctuation, and sending a control instruction to an air compressor to adjust pressure parameters in advance according to the preset time, 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 (10)
1. An air compressor set dispatching system based on multipoint pressure trajectory prediction is characterized by comprising:
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 a pressure starting slope according to the acquired data and storing the amplitude of the end pressure dip and the time of the dip caused by different slope changes;
the trend simulation unit is used for performing track trend simulation through a regression prediction model according to the recorded time of each terminal sudden pressure drop;
the pre-judging unit is used for pre-judging the time of the next terminal pressure dip according to the result of the trend simulation;
the execution unit is used for sending a control instruction to the air compressor for pressure lifting according to the pre-judged time of the next terminal pressure sudden drop in advance by the preset time;
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 set dispatching system of claim 1, wherein the data analysis storage unit, the trend simulation unit and the pre-judgment 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 and historical data query.
4. The air compressor bank dispatching system of claim 1, wherein the 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 an air compressor and send control commands to the air compressor for control.
5. The air compressor unit blending system of claim 4, wherein the air compressor unit blending system further comprises an isolation unit, wherein the isolation unit comprises a 485 isolator for protecting communication between the air compressor specific control module and the air compressor from normal operation.
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 multipoint pressure track prediction is characterized by comprising the following steps:
tracking and collecting pressure data of a plurality of production terminals of a factory;
calculating a pressure starting slope according to the acquired data, and storing the amplitude of the end pressure dip and the time of the dip caused by different slope changes;
according to the recorded time of each terminal sudden pressure drop, performing track trend simulation through a regression prediction model;
pre-judging the time of the next sudden pressure drop of the tail end according to the result of the trend simulation;
sending a control instruction to an air compressor for pressure lifting according to the predicted time for next terminal pressure sudden drop and preset time in advance;
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 assembly allocation method according to claim 7, wherein the tracking and collecting of the pressure data of a plurality of production ends of a 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.
10. The air compressor assembly allocation method according to claim 7, wherein the step of sending the control command to the air compressor for pressure increase in advance is carried out 20 minutes in advance.
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| CN113464415B (en) * | 2021-09-03 | 2021-12-03 | 蘑菇物联技术（深圳）有限公司 | Method, apparatus and computer storage medium for controlling air compressor of air compression station |
| CN114382687B (en) * | 2022-02-24 | 2022-11-08 | 蘑菇物联技术（深圳）有限公司 | Method, apparatus and medium for controlling air compressor in air compression station |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101718270A (en) * | 2009-11-20 | 2010-06-02 | 上海应用技术学院 | Prediction and pressure regulation method for control system of air compressor |
| CN101901014A (en) * | 2009-05-27 | 2010-12-01 | 宝山钢铁股份有限公司 | Method for controlling forecast pressure regulation in air compression stations |
| CN104069574A (en) * | 2013-03-29 | 2014-10-01 | 北京谊安医疗系统股份有限公司 | Method and device for controlling turbines in order to control output pressures |
| CN106351732A (en) * | 2015-07-14 | 2017-01-25 | 福特环球技术公司 | Methods and systems for boost control |
| CN106499617A (en) * | 2016-11-02 | 2017-03-15 | 苏州能讯高能半导体有限公司 | A kind of air compressor energy-saving regulation and control method, apparatus and system |
| CN108960487A (en) * | 2018-06-13 | 2018-12-07 | 北京天泽智云科技有限公司 | Air compressor machine group system energy consumption optimization method and device based on big data analysis |
| CN109058151A (en) * | 2018-07-13 | 2018-12-21 | 西安工程大学 | A kind of Control Methods for Surge Prevention in Centrifugal Compressors based on prediction model |
-
2019
- 2019-07-17 CN CN201910647662.0A patent/CN110486261B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101901014A (en) * | 2009-05-27 | 2010-12-01 | 宝山钢铁股份有限公司 | Method for controlling forecast pressure regulation in air compression stations |
| CN101718270A (en) * | 2009-11-20 | 2010-06-02 | 上海应用技术学院 | Prediction and pressure regulation method for control system of air compressor |
| CN104069574A (en) * | 2013-03-29 | 2014-10-01 | 北京谊安医疗系统股份有限公司 | Method and device for controlling turbines in order to control output pressures |
| CN106351732A (en) * | 2015-07-14 | 2017-01-25 | 福特环球技术公司 | Methods and systems for boost control |
| CN106499617A (en) * | 2016-11-02 | 2017-03-15 | 苏州能讯高能半导体有限公司 | A kind of air compressor energy-saving regulation and control method, apparatus and system |
| CN108960487A (en) * | 2018-06-13 | 2018-12-07 | 北京天泽智云科技有限公司 | Air compressor machine group system energy consumption optimization method and device based on big data analysis |
| CN109058151A (en) * | 2018-07-13 | 2018-12-21 | 西安工程大学 | A kind of Control Methods for Surge Prevention in Centrifugal Compressors based on prediction model |
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04期);C029-95 * |
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