CN115596653A - Intelligent management and control application technology for oil pump in chemical reservoir area - Google Patents
Intelligent management and control application technology for oil pump in chemical reservoir area Download PDFInfo
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- CN115596653A CN115596653A CN202211147845.4A CN202211147845A CN115596653A CN 115596653 A CN115596653 A CN 115596653A CN 202211147845 A CN202211147845 A CN 202211147845A CN 115596653 A CN115596653 A CN 115596653A
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- 239000000126 substance Substances 0.000 title claims abstract description 12
- 238000005516 engineering process Methods 0.000 title claims abstract description 10
- 230000002159 abnormal effect Effects 0.000 claims description 35
- 238000012423 maintenance Methods 0.000 claims description 20
- 238000005070 sampling Methods 0.000 claims description 17
- 238000004458 analytical method Methods 0.000 claims description 5
- 230000005856 abnormality Effects 0.000 claims description 4
- 238000001228 spectrum Methods 0.000 claims description 3
- 239000013598 vector Substances 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 abstract description 2
- 230000015556 catabolic process Effects 0.000 abstract 1
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000009118 appropriate response Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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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
- F04B51/00—Testing machines, pumps, or pumping installations
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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
- F04B49/02—Stopping, starting, unloading or idling control
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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
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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
- F04B49/10—Other safety measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Evolutionary Computation (AREA)
- Computer Hardware Design (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
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- General Physics & Mathematics (AREA)
- Fluid-Pressure Circuits (AREA)
Abstract
The invention relates to an intelligent management and control application technology of an oil pump in a chemical reservoir area, wherein each oil pump is connected with a PLC control system, and the PLC controls the start/stop of each oil pump and is connected with an alarm for alarming; an intelligent management and control system is constructed, the intelligent management and control system is connected with a PLC control system through OPC of an SCADA system, and the intelligent management and control system is formed by connecting a plurality of sensors, a real-time data acquisition module capable of acquiring data of each sensor in real time, a system background and a terminal for receiving information; each oil pump is provided with three sensors, wherein one sensor is a vibration sensor, one sensor is a sound sensor, and one sensor is a temperature sensor. When the oil pump breaks down, the key parameter vibration, temperature, sound and the electric current of pump all can appear the variation, through the key parameter of installing sensor acquisition pump on the pump, the operation conditions of real time monitoring pump carries out effectual management and control to the pump, avoids the breakdown shutdown.
Description
Technical Field
Various pumps are distributed in each storage tank area of the reservoir area, and the reservoir area is key equipment for normal operation of the oil reservoir. The maintenance management of the pump in the reservoir area adopts manual regular maintenance and emergent fault maintenance, the maintenance mode is fault maintenance after the fault occurs, the shutdown of the pump influences the operation generation, and the fault of the pump can cause safety accidents and storage loss under certain conditions.
Disclosure of Invention
In order to solve the problems, the invention provides an application technology for intelligent control of a chemical reservoir area oil pump, so as to achieve the purpose of intelligent control of the chemical reservoir area oil pump.
The technical scheme of the invention is as follows:
according to the intelligent management and control application technology of the oil pumps in the chemical reservoir area, each oil pump is connected with a PLC control system, and the PLC controls the start/stop of each oil pump and is connected with an alarm for alarming; an intelligent control system is constructed, the intelligent control system is connected with a PLC control system through OPC of an SCADA system and comprises a plurality of sensors, a real-time data acquisition module capable of acquiring data of each sensor in real time, a system background and a terminal capable of receiving information in real time, each sensor is distributed and installed on each oil pump and is respectively connected with the real-time data acquisition module, the real-time data acquisition module is connected with the system background, the system background is connected with the terminal, and the system background is loaded with an AI modeling unit; each oil pump is provided with three sensors, wherein one sensor is a vibration sensor, one sensor is a sound sensor, and the other sensor is a temperature sensor;
s1: data acquisition
Numbering an oil pump, establishing a vibration and sound data table of the pump according to the oil pump number, automatically sampling, only sampling when the oil pump works, automatically starting sampling when the judging condition is that the current of the oil pump is monitored, stopping sampling when the current does not exist, sampling, collecting and storing samples, wherein the frequency is 1 second, establishing an oil pump abnormal classification condition table according to the existing maintenance experience, and establishing an independent vibration and sound recording table for each pump;
the system records vibration and sound data of the oil pump in real time in the early stage, records that the default pump storage state is normal, and when the oil pump fails and is manually maintained, manually marks the time period when the pump fails according to the fault type of the pump and records and stores the time period into a recording table related to the vibration and sound of the oil pump;
s2: modeling
According to the data recorded in the early stage, generating data vectors for analysis through vibration data and AI sound feature extraction, wherein AI analysis generates normal frequency and a sound frequency spectrum range, abnormal conditions are generated when the range is out, and different data are sampled and marked as abnormal data compared with the abnormal data which are normal, particularly artificially marked in a system background, so that a fault judgment model of each pump is generated;
s3: intelligent management and control
The system compares vibration and sound data acquired in real time with a fault judgment model, if the sound or vibration of the pump obviously deviates from the nominal state, or the sound and vibration are matched with any abnormal sound in a model library, the system sends an abnormal alarm instruction to the PLC and sends a notification to a terminal to notify the pump of the abnormal condition and notify a possible abnormal condition explanation corresponding to the abnormality;
when the system detects that the highest grade is abnormal, the vibration or the sound exceeds the range, or the current and the temperature exceed the range, the PLC is instructed to remotely close the oil pump.
The sensor is an explosion-proof sensor.
The terminal is a tablet or a mobile phone.
The vibration sensor, the sound sensor and the temperature sensor are all mounted on the surface of the motor of the oil pump in a pasting mode.
The invention has the advantages of reasonable design and simple structure, when the oil pump breaks down, the key parameters of the pump such as vibration, temperature, sound and current are abnormal, the key parameters of the pump are collected by mounting the sensor on the pump, the running condition of the pump is monitored in real time, the pump is effectively controlled, and the fault shutdown is avoided.
Drawings
FIG. 1 is a schematic connection diagram of an intelligent oil pump management and control system in a chemical reservoir area.
In the figure, an oil pump 1, a PLC control system 2, a PLC 2-1, an intelligent management and control system 3, a real-time data acquisition module 3-1, a system background 3-2, a vibration sensor 3-3, a sound sensor 3-4, a temperature sensor 3-5, an AI modeling unit 3-6, a terminal 3-7, an SCADA system 4 and an alarm 5.
Detailed Description
As shown in the figure, in the application of the intelligent management and control technology of the oil pumps in the chemical reservoir area, each oil pump 1 is connected with a PLC control system 2, and each oil pump 1 is controlled to start/stop by PLC 2-1 and is connected with an alarm 5 to give an alarm by PLC 2-1; an intelligent control system 3 is constructed, the intelligent control system 3 is connected with a PLC control system 2 through an OPC of an SCADA system 4 and comprises a plurality of sensors, a real-time data acquisition module 3-1 capable of acquiring data of each sensor in real time, a system background 3-2 and a terminal 3-7 for receiving information, each sensor is distributed and installed on each oil pump 1 and is respectively connected (wirelessly transmitted) with the real-time data acquisition module 3-1, and the real-time data acquisition module 3-1 is connected with the system background 3-2 (an optical fiber network); each oil pump 1 is provided with three sensors, wherein one sensor is a vibration sensor 3-3, one sensor is a sound sensor 3-4, and one sensor is a temperature sensor 3-5;
an AI modeling unit 3-6 is loaded on the system background 3-2;
the vibration sensor 3-3, the sound sensor 3-4 and the temperature sensor 3-5 are explosion-proof sensors;
the vibration sensor 3-3, the sound sensor 3-4 and the temperature sensor 3-5 are all attached to the surface of the motor of the oil pump 1.
Establishing a data table of vibration and sound of the pump according to the serial number of the oil pump, automatically sampling, automatically starting sampling only when the oil pump works, automatically starting sampling when the judgment condition is that the current of the oil pump is monitored, stopping sampling when the current does not exist, and sampling, collecting and storing once every 1 second;
establishing an oil pump abnormal classification condition table according to the existing maintenance experience, establishing an independent vibration and sound recording table for each pump,
| ID | type of oil pump | Abnormal situation classification | Description of abnormal situation | Abnormal grade (classified according to abnormal emergency) |
| 1 | XXX | XXX | xxxx | XXX |
Oil pump abnormal condition classification table
| ID | Time of acquisition | Amplitude of vibration | Speed of vibration | Pump state (Normal or not) | Abnormal |
| 1 | XXX | XXX | xxxx |
XXX oil pump vibration sampling recording meter
| ID | Acquisition start time | End time of acquisition | Sound file | Pump state (Normal or not) | Abnormal |
| 1 | XXX | XXX | XXX |
XXX oil pump sound sampling recording meter
The system records vibration and sound data of the oil pump in real time in the early period, records that the default pump storage state is normal, and when the oil pump fails and is manually maintained, the manual background marks the time period when the pump fails according to the fault type of the pump and records and stores the time period into a recording table related to the vibration and sound of the oil pump.
According to the data recorded in the early stage, data vectors are extracted and generated through vibration data and AI sound characteristics to be analyzed, AI analysis generates normal frequency and a sound frequency spectrum range, abnormal conditions are generated when the range is out, different data are sampled and marked as abnormal data compared with the abnormal data which are normal and particularly marked artificially in the background of the system, and therefore a fault judgment model of each pump is generated. The system compares vibration and sound data collected in real time with the fault determination model. If the sound or vibration of the pump deviates significantly from its nominal state, or the sound or vibration matches any abnormal sound in the model library, the system will alert an abnormality, send a notification to the maintenance personnel handset (terminal) that an abnormal condition has occurred and notify the pump of a possible abnormal condition explanation corresponding to the abnormality, so that the maintenance personnel should go to inspect or maintain the affected part of the oil pump. The alarm enables service personnel to respond quickly and determine the appropriate response to minimize losses. Most alarms allow maintenance personnel to schedule their maintenance or repair time to avoid unexpected downtime in production.
When the system detects that the highest level is abnormal (vibration or sound exceeds the range, or current and temperature exceed the range), the oil pump is remotely closed by a PLC (programmable logic controller) lower instruction, further damage to the oil pump is avoided, accidents are avoided, and economic loss is avoided.
The system automatically records the time period before and after the running time of the oil pump by judging the current interruption time of the oil pump, accurately records and stores the running time of the oil pump, automatically generates a maintenance list according to maintenance rules, pushes the maintenance list to maintenance personnel in real time, actively reminds maintenance in real time,
| ID | oil pump ID | Period of operation | Time to overhaul 1 | Total running time | Examination and | Time to overhaul X | Inspection content x |
| 1 | XXX | XXX | xxxx | XXX | XXXX | xxx | xxxx |
Maintenance sheet
The method has the advantages that key parameters (vibration, noise and temperature) are directly measured from the surface of the oil pump through the sensor, real-time monitoring is realized, operability and performance visibility are improved, an oil pump fault model library is built by utilizing an AI technology, tiny faults of the oil pump can be found in an early stage, trends are known, recognition and maintenance are convenient, unplanned parking is prevented from influencing operation, customer complaints are avoided, and accordingly customer satisfaction is improved. The after maintenance is changed into the prediction in advance, the stable operation of production is ensured, and the service life of the oil pump is prolonged. Along with the continuous perfection of the model, the fault judgment of the oil pump can be more detailed and accurate, the oil pump problem can be eliminated more quickly when the oil pump problem is in a bud state, and the fault judgment model is an expert oil pump AI fault judgment model gradually forming the reservoir area oil pump industry.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and the purpose thereof is to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the protection scope of the present invention. All equivalent changes and modifications made according to the spirit of the present invention should be covered in the protection scope of the present invention.
Claims (4)
1. According to the intelligent management and control application technology of the oil pumps in the chemical reservoir area, each oil pump is connected with a PLC control system, and the PLC controls the start/stop of each oil pump and is connected with an alarm for alarming; the system is characterized in that an intelligent control system is constructed, the intelligent control system is connected with a PLC control system through OPC of an SCADA system, the intelligent control system comprises a plurality of sensors, a real-time data acquisition module capable of acquiring data of each sensor in real time, a system background and a terminal capable of receiving information in real time, each sensor is distributed and installed on each oil pump and is respectively connected with the real-time data acquisition module, the real-time data acquisition module is connected with the system background, the system background is connected with the terminal, and the system background is loaded with an AI modeling unit; each oil pump is provided with three sensors, wherein one sensor is a vibration sensor, one sensor is a sound sensor, and the other sensor is a temperature sensor;
s1: data acquisition
Numbering an oil pump, establishing a data table of vibration and sound of the pump according to the oil pump number, automatically sampling, only sampling when the oil pump works, automatically starting sampling when the judgment condition is that the current of the oil pump is monitored, stopping sampling when the current does not exist, sampling, collecting and storing the samples, wherein the frequency is 1 second, establishing an oil pump abnormal classification condition table according to the existing maintenance experience, and establishing an independent vibration and sound recording table for each pump;
the system records vibration and sound data of the oil pump in real time in the early stage, records that the default state of the oil pump is normal, and when the oil pump fails and is manually maintained, the manual background marks the time period of the pump failure according to the failure type of the pump and records and stores the time period into a recording table related to the vibration and sound of the oil pump;
s2: modeling
According to the data recorded in the early stage, generating a data vector through vibration data and AI sound characteristic extraction for analysis, wherein AI analysis generates a normal frequency and a sound frequency spectrum range, abnormal conditions are generated when the range is out of the range, different data are sampled and marked as abnormal data compared with normal abnormal data, particularly abnormal data marked artificially in a system background, so that a fault judgment model of each pump is generated;
s3: intelligent management and control
The system compares vibration and sound data acquired in real time with a fault judgment model, if the sound or vibration of the pump obviously deviates from the nominal state, or the sound and vibration are matched with any abnormal sound in a model library, the system sends an abnormal alarm instruction to the PLC and sends a notification to a terminal to notify the pump of the abnormal condition and notify a possible abnormal condition explanation corresponding to the abnormality;
when the system detects that the highest grade is abnormal, the vibration or the sound exceeds the range, or the current and the temperature exceed the range, the PLC is instructed to remotely close the oil pump.
2. The chemical reservoir area oil pump intelligent management and control application technology as claimed in claim 1, wherein the sensor is an explosion-proof sensor.
3. The chemical reservoir area oil depot intelligent management and control application technology as claimed in claim 1, wherein the terminal is a tablet computer or a mobile phone.
4. The intelligent management and control system for the oil pumps in the chemical reservoir area according to claim 1, wherein the vibration sensor, the sound sensor and the temperature sensor are all mounted on the surface of the motor of the oil pump in an attaching manner.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211147845.4A CN115596653A (en) | 2022-09-21 | 2022-09-21 | Intelligent management and control application technology for oil pump in chemical reservoir area |
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| CN202211147845.4A CN115596653A (en) | 2022-09-21 | 2022-09-21 | Intelligent management and control application technology for oil pump in chemical reservoir area |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116464629A (en) * | 2023-06-19 | 2023-07-21 | 广东电网有限责任公司佛山供电局 | Intelligent oil pump on-line monitoring system |
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| CN113778011A (en) * | 2021-09-15 | 2021-12-10 | 中国石化销售股份有限公司贵州石油分公司 | Management system based on oil depot automation and informatization process |
| GB202116859D0 (en) * | 2021-06-29 | 2022-01-05 | Univ Jiangsu | Intelligent parallel pumping system and optimal regulating method thereof |
-
2022
- 2022-09-21 CN CN202211147845.4A patent/CN115596653A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN201739148U (en) * | 2009-10-15 | 2011-02-09 | 浙江工业大学 | Real-time monitoring device for oil-gas mixture pump of offshore oil platform |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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