CN114109826A - Screw blower gas station remote monitoring device - Google Patents
Screw blower gas station remote monitoring device Download PDFInfo
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- CN114109826A CN114109826A CN202111440879.8A CN202111440879A CN114109826A CN 114109826 A CN114109826 A CN 114109826A CN 202111440879 A CN202111440879 A CN 202111440879A CN 114109826 A CN114109826 A CN 114109826A
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04C—ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT PUMPS
- F04C18/00—Rotary-piston pumps specially adapted for elastic fluids
- F04C18/08—Rotary-piston pumps specially adapted for elastic fluids of intermeshing-engagement type, i.e. with engagement of co-operating members similar to that of toothed gearing
- F04C18/12—Rotary-piston pumps specially adapted for elastic fluids of intermeshing-engagement type, i.e. with engagement of co-operating members similar to that of toothed gearing of other than internal-axis type
- F04C18/14—Rotary-piston pumps specially adapted for elastic fluids of intermeshing-engagement type, i.e. with engagement of co-operating members similar to that of toothed gearing of other than internal-axis type with toothed rotary pistons
- F04C18/16—Rotary-piston pumps specially adapted for elastic fluids of intermeshing-engagement type, i.e. with engagement of co-operating members similar to that of toothed gearing of other than internal-axis type with toothed rotary pistons with helical teeth, e.g. chevron-shaped, screw type
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04C—ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT PUMPS
- F04C28/00—Control of, monitoring of, or safety arrangements for, pumps or pumping installations specially adapted for elastic fluids
- F04C28/28—Safety arrangements; Monitoring
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04C—ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT PUMPS
- F04C29/00—Component parts, details or accessories of pumps or pumping installations, not provided for in groups F04C18/00 - F04C28/00
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Control Of Positive-Displacement Air Blowers (AREA)
Abstract
The invention discloses a screw blower gas station remote monitoring device which comprises an acquisition module, an analysis module, a processing module, a controller, an early warning module, a data storage module and a display module. According to the invention, the equipment data information and the working data information during operation of the screw blower gas station are collected, so that blowers of different types and different positions can be monitored, and the monitoring accuracy and efficiency are improved; the operation processing module extracts and marks the collected equipment data information and the operation data information during operation, calculates the equipment mark information and the operation mark information to finally obtain an equipment coefficient and a monitoring value, establishes a connection among the collected data and calculates, is convenient for overall analysis, can detect the operation of blowers of different types and different positions according to the calculation result, and comprehensively analyzes the operation condition of the equipment and the surrounding environment condition, thereby further improving the accuracy of the monitoring result.
Description
Technical Field
The invention relates to the technical field of blowers, in particular to a screw blower gas station remote monitoring device.
Background
The operating principle of the screw type fan is that two parallel male and female rotors are meshed with each other in a cylinder to form a working volume, the rotors rotate at a high speed in a reverse direction through a synchronous gear, the working volume changes periodically along with the rotation of the rotors, gas compression is realized simultaneously in a gas conveying process, the working cycle of the screw type fan can be divided into three processes of air suction, compression and exhaust, and in some working environments requiring high wind power, a plurality of blowers are assembled together by some manufacturers to form a gas station.
When an existing air blower gas station works, comprehensive analysis is not carried out on the basis of the running condition and the surrounding environment condition of equipment, so that the monitoring result is not accurate, the reason cannot be accurately found and processed, and the monitoring effect is poor.
Disclosure of Invention
The invention aims to provide a screw blower gas station remote monitoring device, which solves the following technical problems: how to solve the poor technical problem of air-blower gas station monitoring effect among the prior art.
The purpose of the invention can be realized by the following technical scheme:
a screw blower gas station remote monitoring device comprises an acquisition module, an analysis module, a processing module, a controller, an early warning module, a data storage module and a display module, wherein the acquisition module is used for acquiring equipment data information and working data information of a screw blower gas station during operation; and the early warning module carries out early warning prompt on the operation of the screw blower gas station according to the analysis result.
As a further aspect of the present invention, the device data information includes a blower model, a blower position, a rated power, and a rated rotational speed, and the operation data information includes blower voltage data, blower temperature data, ambient air pressure data, and ambient temperature data.
As a further scheme of the present invention, the specific steps of performing data extraction and marking on the collected device data information and the collected work data information include: acquiring the model of the air blower, the position of the air blower, the rated power and the rated rotating speed in the data information, and marking the model of the air blower and the model correlation value corresponding to the model; marking the position of the blower and the corresponding position correlation value; respectively carrying out value taking and marking on the rated power and the rated rotating speed; combining the marked data to obtain equipment marking information; and respectively carrying out value taking and marking on equipment voltage data, equipment temperature data, environmental air pressure data and environmental temperature data in the working data information, and combining all marked data to obtain working mark information.
As a further aspect of the present invention, the specific steps of performing calculation processing on the device tag information and the job tag information include: normalizing various items of data marked in the equipment marking information and taking values, and acquiring equipment coefficients of equipment according to the various items of data subjected to normalization processing; and carrying out normalization processing on various data marked in the working marking information and obtaining values, and acquiring the monitoring value of the equipment according to the equipment coefficient and the various data subjected to the normalization processing.
As a further scheme of the present invention, the specific steps of performing matching analysis on the monitored values include: matching the monitoring value with a preset monitoring range, and generating a first monitoring signal when JK is less than Y1; when Y1 is not less than JK and is less than Y2, a second monitoring signal is generated; when JK is larger than or equal to Y2, a third monitoring signal is generated; the first monitor signal, the second monitor signal and the third monitor signal are combined to obtain an analysis result, wherein Y1 and Y2 are respectively the minimum value and the maximum value of the monitoring range.
As a further scheme of the invention, the operation of each air blower in the screw air blower gas station is early-warned, and the specific steps comprise: and marking the blower corresponding to the first monitoring signal as normal equipment, generating a normal signal, marking the blower corresponding to the second monitoring signal as equipment to be inspected, carrying out early warning prompt, generating a signal to be inspected, marking the equipment corresponding to the third matching signal as maintenance equipment, carrying out early warning prompt, and generating a maintenance signal.
As a further scheme of the invention, the display module receives and displays the normal signal, the signal to be detected and the maintenance signal sent by the early warning module, and simultaneously receives and displays the monitoring value and the working data information in the controller.
As a further scheme of the present invention, the data storage module is configured to store a preset monitoring range, send the monitoring range to the controller, and simultaneously store a monitoring value and working data information in the controller.
The invention has the beneficial effects that:
according to the remote monitoring device for the screw blower gas station, the equipment data information and the working data information during operation of the screw blower gas station are collected, so that blowers of different models and different positions can be monitored, and the monitoring accuracy and the monitoring efficiency are improved; the operation processing module extracts and marks the acquired equipment data information and the operation data information during operation to obtain equipment marking information and operation marking information of the air blower, the equipment marking information and the operation marking information are calculated and processed to finally obtain an equipment coefficient and a monitoring value, and the early warning module carries out early warning on the operation of the air blower according to an analysis result; the operation of the blowers of different types and different positions can be detected according to the calculation result, and the comprehensive analysis is carried out by combining the operation condition and the environment condition of the blowers, so that the accuracy of the monitoring result is further improved.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of a remote monitoring device for a screw blower gas station according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention relates to a remote monitoring device for a gas station of a screw blower, which comprises an acquisition module, an analysis module, a processing module, a controller and an early warning module;
the system comprises a collecting module, an analyzing module, a processing module, a controller and a monitoring module, wherein the collecting module is used for collecting equipment data information and working data information during operation of a screw blower gas station, the analyzing module is used for extracting and analyzing the collected working data information to obtain analysis information, and meanwhile, the working data information is sent to the processing module, the processing module is used for calculating and processing the analysis information to obtain a monitoring value and simultaneously sending the working data information to the controller, and the controller is used for carrying out matching analysis on the monitoring value to obtain an analysis result; and the early warning module carries out early warning prompt on the operation of the screw blower gas station according to the analysis result.
Extracting and marking the equipment data information and the working data information in the acquisition module, wherein the specific operation steps are as follows:
acquiring the model, rated power, rated rotating speed and position of the blower in the equipment data information, and marking the model of the screw blower as SX; setting different models of the screw blowers to correspond to a different model correlation value, matching the models of the screw blowers in the data information with all the models of the screw blowers to obtain the corresponding model correlation value and marking as S1; mark screw blower position as WZ; setting different positions of the screw blowers to correspond to different position correlation values, matching the positions of the screw blowers in the data information with the positions of all the screw blowers to obtain corresponding position correlation values, and marking the position correlation values as S4; respectively taking values and marking the rated power and the rated rotating speed, and marking the rated power as S2; the nominal speed is marked S3; classifying and combining the model number, the model correlation value, the position and the position correlation value of the screw blower, the rated power and the rated rotating speed of the screw blower to obtain equipment marking information;
acquiring device voltage data, device temperature data, environment air pressure data and environment temperature data in the working data information, extracting and marking the device voltage data, the device temperature data, the device air pressure data and the environment temperature data respectively, and taking a value of a real-time voltage in the device voltage data and marking the real-time voltage as SDi, wherein i is 1, 2, … …, n is a positive integer; taking a value of the real-time temperature in the equipment temperature data and marking the real-time temperature as SWi, and respectively taking a value of the environmental air pressure data and a value of the environmental temperature data and marking the values as HQi and HWi; and classifying and combining the marked equipment voltage, equipment temperature, environment temperature and environment air pressure to obtain working mark information.
Through the equipment data information and the operation working data information of gathering screw rod air-blower gas station, carry out data acquisition from different aspects, can monitor the air-blower of different models, different positions, improve the accuracy and the high efficiency of control.
The processing module is used for calculating and processing the equipment marking information and the work marking information to obtain a monitoring value, and the specific operation steps are as follows:
normalizing and taking values of various items of data marked in the equipment marking information, and calculating and acquiring equipment coefficients of the equipment by using a formula CY ═ eta S1 × S4 × (a1 × S2+ a2 × S3); wherein a1 and a2 are expressed as different proportionality coefficients, eta is expressed as a correction factor, and the value is 0.676333.
Normalizing and evaluating various items of data marked in the working mark information by using a formula
Calculating and acquiring a monitoring value of the air station of the air blower; wherein b1, b2, b3 and b4 are expressed as different proportionality coefficients, beta is expressed as a correction factor, and the value is 1.246; SD0 is a preset standard voltage, SW0 is a preset standard temperature, HQ0 is a preset standard air pressure, SDi is a real-time voltage, SWi and HWi are expressed as a device temperature and an ambient temperature, HQi is an ambient air pressure, and the preset standard temperature and the standard air pressure are set according to an operating environment and a scene.
The processor establishes the connection among the collected data and calculates the data, so that the whole analysis is facilitated, the comprehensive analysis is carried out according to the running condition of the equipment and the surrounding environment condition, and the accuracy of the monitoring result is further improved.
The controller is used for carrying out matching analysis on the monitored value, matching the monitored value with a preset monitoring range, and generating a first monitoring signal when JK is less than Y1; when Y1 is not less than JK and is less than Y2, a second monitoring signal is generated; when JK is larger than or equal to Y2, a third monitoring signal is generated; the first monitor signal, the second monitor signal and the third monitor signal are combined to obtain an analysis result, wherein Y1 and Y2 are respectively the minimum value and the maximum value of the monitoring range.
The early warning module carries out early warning suggestion to the operation of each air-blower according to the analysis result, and concrete step includes: acquiring an analysis result, analyzing, judging that the blower corresponding to the first monitoring signal operates normally if the analysis result contains the first monitoring signal, marking the blower corresponding to the first monitoring signal as normal equipment, generating a normal signal, and sending the normal signal to a display module; if the analysis result contains a second monitoring signal, judging that the blower corresponding to the second monitoring signal is abnormal in operation and needs to be checked, marking the blower corresponding to the second monitoring signal as equipment to be checked, carrying out early warning prompt, generating a signal to be checked, and sending the signal to be checked to a display module; and if the analysis result contains the third monitoring signal, judging that the blower corresponding to the third monitoring signal needs to be immediately stopped for maintenance, marking the equipment corresponding to the third matching signal as maintenance equipment, carrying out early warning prompt, generating a maintenance signal and sending the maintenance signal to the display module.
The early warning module is used for further analyzing the monitoring signal sent by the controller and generating a corresponding early warning prompt, so that the monitoring and analysis of the blower of the screw blower gas station are facilitated, and the early warning prompt is carried out on an abnormal blower.
The data storage module is used for storing a preset monitoring range, sending the monitoring range to the controller and simultaneously storing a monitoring value and working data information in the controller, the display module receives and displays a normal signal, a signal to be checked and a maintenance signal sent by the early warning module, and simultaneously receives and displays the monitoring value and the working data information in the controller, so that monitoring, prompting and alarming of the running state of the screw blower gas station are realized, and monitoring management of the screw blower gas station is achieved.
The formulas in the invention are all a formula which is obtained by removing dimensions and taking numerical value calculation, and software simulation is carried out by collecting a large amount of data to obtain the formula closest to the real condition, and the preset proportionality coefficient and the threshold value in the formula are set by the technical personnel in the field according to the actual condition or are obtained by simulating a large amount of data.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be directly connected or indirectly connected through an intermediate member, or they may be connected through two or more elements. The specific meaning of the above terms in the present invention can be understood in a specific case by those skilled in the art.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (8)
1. The utility model provides a screw blower gas station remote monitoring device, includes collection module, analysis module, processing module, controller, early warning module, data storage module and display module, its characterized in that, collection module is used for gathering the equipment data information and the during operation working data information of screw blower gas station, analysis module is used for drawing and the mark to the equipment data information and the working data information of gathering, obtains equipment mark information and working mark information, processing module is used for carrying out calculation processing to equipment mark information and working mark information, obtains the control value, the controller is used for matching the analysis to the control value, obtains the analysis result, early warning module carries out the early warning suggestion according to the analysis result to the operation of screw blower gas station.
2. The screw blower gas station remote monitoring device according to claim 1, wherein the equipment data information includes blower model, blower position, rated power and rated speed, and the operation data information includes blower voltage data, blower temperature data, ambient air pressure data and ambient temperature data.
3. The screw blower gas station remote monitoring device according to claim 2, wherein the specific steps of data extraction and marking of the collected equipment data information and the collected work data information comprise: acquiring the model of the air blower, the position of the air blower, the rated power and the rated rotating speed in the data information, and marking the model of the air blower and the model correlation value corresponding to the model; marking the position of the blower and the corresponding position correlation value; respectively carrying out value taking and marking on the rated power and the rated rotating speed; combining the marked data to obtain equipment marking information; and respectively carrying out value taking and marking on equipment voltage data, equipment temperature data, environmental air pressure data and environmental temperature data in the working data information, and combining all marked data to obtain working mark information.
4. The screw blower gas station remote monitoring device according to claim 3, wherein the specific steps of calculating and processing the equipment mark information and the work mark information comprise: normalizing various items of data marked in the equipment marking information and taking values, and acquiring equipment coefficients of equipment according to the various items of data subjected to normalization processing; and carrying out normalization processing on various data marked in the working marking information and obtaining values, and acquiring the monitoring value of the equipment according to the equipment coefficient and the various data subjected to the normalization processing.
5. The screw blower gas station remote monitoring device according to claim 4, wherein the specific steps of performing matching analysis on the monitored value comprise: matching the monitoring value with a preset monitoring range, and generating a first monitoring signal when JK is less than Y1; when Y1 is not less than JK and is less than Y2, a second monitoring signal is generated; when JK is larger than or equal to Y2, a third monitoring signal is generated; the first monitor signal, the second monitor signal and the third monitor signal are combined to obtain an analysis result, wherein Y1 and Y2 are respectively the minimum value and the maximum value of the monitoring range.
6. The screw blower gas station remote monitoring device according to claim 5, wherein the operation of each blower in the screw blower gas station is early-warned, and the specific steps comprise: and marking the blower corresponding to the first monitoring signal as normal equipment, generating a normal signal, marking the blower corresponding to the second monitoring signal as equipment to be inspected, carrying out early warning prompt, generating a signal to be inspected, marking the equipment corresponding to the third matching signal as maintenance equipment, carrying out early warning prompt, and generating a maintenance signal.
7. The screw blower gas station remote monitoring device as claimed in claim 6, wherein the display module receives and displays the normal signal, the signal to be inspected and the maintenance signal sent by the early warning module, and simultaneously receives and displays the monitoring value and the working data information in the controller.
8. The screw blower gas station remote monitoring device according to claim 7, wherein the data storage module is used for storing a preset monitoring range, sending the monitoring range to the controller, and storing monitoring values and working data information in the controller.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111440879.8A CN114109826A (en) | 2021-11-30 | 2021-11-30 | Screw blower gas station remote monitoring device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111440879.8A CN114109826A (en) | 2021-11-30 | 2021-11-30 | Screw blower gas station remote monitoring device |
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| CN114109826A true CN114109826A (en) | 2022-03-01 |
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| CN202111440879.8A Pending CN114109826A (en) | 2021-11-30 | 2021-11-30 | Screw blower gas station remote monitoring device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115788887A (en) * | 2022-11-28 | 2023-03-14 | 山东海福德机械有限公司 | Roots blower operation condition supervision and early warning system based on data analysis |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170350370A1 (en) * | 2016-06-02 | 2017-12-07 | Doosan Heavy Industries & Construction Co., Ltd. | Wind farm supervision monitoring method |
| CN109447048A (en) * | 2018-12-25 | 2019-03-08 | 苏州闪驰数控系统集成有限公司 | A kind of artificial intelligence early warning system |
| CN112888110A (en) * | 2021-01-22 | 2021-06-01 | 江苏叶迪车灯股份有限公司 | Step-up and step-down type constant current driver for high-power LED module |
| CN113255255A (en) * | 2021-06-03 | 2021-08-13 | 安徽芯鑫半导体有限公司 | Integrated circuit thermal vacuum test system |
| CN113389749A (en) * | 2021-06-25 | 2021-09-14 | 广东鑫钻节能科技股份有限公司 | Low pressure air-blower thing networking remote control system |
| CN113687138A (en) * | 2021-09-03 | 2021-11-23 | 广东鑫钻节能科技股份有限公司 | Energy efficiency online monitoring system for air compression station |
-
2021
- 2021-11-30 CN CN202111440879.8A patent/CN114109826A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170350370A1 (en) * | 2016-06-02 | 2017-12-07 | Doosan Heavy Industries & Construction Co., Ltd. | Wind farm supervision monitoring method |
| CN109447048A (en) * | 2018-12-25 | 2019-03-08 | 苏州闪驰数控系统集成有限公司 | A kind of artificial intelligence early warning system |
| CN112888110A (en) * | 2021-01-22 | 2021-06-01 | 江苏叶迪车灯股份有限公司 | Step-up and step-down type constant current driver for high-power LED module |
| CN113255255A (en) * | 2021-06-03 | 2021-08-13 | 安徽芯鑫半导体有限公司 | Integrated circuit thermal vacuum test system |
| CN113389749A (en) * | 2021-06-25 | 2021-09-14 | 广东鑫钻节能科技股份有限公司 | Low pressure air-blower thing networking remote control system |
| CN113687138A (en) * | 2021-09-03 | 2021-11-23 | 广东鑫钻节能科技股份有限公司 | Energy efficiency online monitoring system for air compression station |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115788887A (en) * | 2022-11-28 | 2023-03-14 | 山东海福德机械有限公司 | Roots blower operation condition supervision and early warning system based on data analysis |
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