CN106014947B - A kind of air compressor machine monitoring method and system based on Internet of Things - Google Patents
A kind of air compressor machine monitoring method and system based on Internet of Things Download PDFInfo
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- CN106014947B CN106014947B CN201610491672.6A CN201610491672A CN106014947B CN 106014947 B CN106014947 B CN 106014947B CN 201610491672 A CN201610491672 A CN 201610491672A CN 106014947 B CN106014947 B CN 106014947B
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- air compressor
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- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000012544 monitoring process Methods 0.000 title claims abstract description 16
- 238000006243 chemical reaction Methods 0.000 claims description 5
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Classifications
-
- 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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- Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Control Of Positive-Displacement Pumps (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The present invention relates to mechanical equipment after-sales service fields, and in particular to a kind of air compressor machine monitoring method and system based on Internet of Things include the following steps:A, air compressor machine feeds back to working condition in server;B, server preserves the data that air compressor machine is fed back, and is compared with the default security value (s) in server;C, server comparing result then sends out fault pre-alarming signal to mobile terminal beyond default security value (s), and server comparing result is normally not send pre-warning signal then.This system is to combine air compressor machine Internet of things system, online monitoring system and mobile terminal system, the comprehensive operation data for forming the air compressor machine that can give warning in advance, to judge;Producer or related technical personnel can do teledata and check, draw a conclusion further according to data and make the breakdown judge that machine will occur, and corresponding personnel is notified to handle, and when machine does not have disorderly closedown, schedule ahead is safeguarded.
Description
Technical field
The present invention relates to mechanical equipment after-sales service fields, and in particular to a kind of air compressor machine monitoring method based on Internet of Things
And system.
Background technology
Currently, having staff to pinpoint nurse large-scale air compressor machine gas station arrangement, but it is difficult to reach by manually nursing
To the effect of real time monitoring, so in terms of the trouble saving still in place of Shortcomings, and air compressor machine break down after to life
Production influence is very big, and air compressor machine failure means that production stops;Further, since air compressor machine user asks equipment degree of understanding deficiency etc.
The problem of topic, the annunciator that often equipment can not be promptly and accurately after breaking down, cause processing time long.
More advanced monitoring system existing in compressor industry at present can't accomplish compressor items major parameter
Be transferred to supplier and client in real time, and the effective energy utilization rate of compressor apparatus cannot be carried out analysis and in time
The every related data for providing the utilization of resources carrys out the ancillary works personnel progress corresponding reducing energy consumption of equipment.
Remote Monitoring System of Air compressor can facilitate technical staff need not at the scene can more pneumatics of remote monitoring
The operating condition of machine.It can not solve to repair and do not catch up with because the reasons such as misoperation break down in the prior art, for a long time
The problem of shutdown will bring massive losses to user.Meanwhile the operating condition of air compressor machine can not be also recognized whenever and wherever possible,
Timely solution can not can be provided in failure problem.
Invention content
In view of the foregoing drawbacks, it is an object of the invention to propose a kind of air compressor machine monitoring method and one kind based on Internet of Things
Air compressor machine method system based on Internet of Things, solves the above problems, and monitors air compressor machine state in real time, and it is pre- to send out failure
Alert information.
For this purpose, the present invention uses following technical scheme:
A kind of air compressor machine monitoring method based on Internet of Things, includes the following steps:
A, air compressor machine feeds back to working condition in server;
B, server preserves the data that air compressor machine is fed back, and is carried out pair with the default security value (s) in server
Than;
C, server comparing result then sends out fault pre-alarming signal to mobile terminal, server pair beyond default security value (s)
It is normally not send pre-warning signal then than result.
Further, in step A, since system includes by multiple air compressor machines, so air compressor machine is in feedback operation state
, can be by under corresponding feedback of status to corresponding number when to server, feedback system is timing feedback.
Further, the safe handling data of each component of air compressor machine, air compressor machine have been preset in step B, in server in advance
The data of feedback are all stored in server, and operating state data and the safe handling data timing of air compressor machine feedback carry out pair
Than to which whether the state for being previously obtained air compressor machine is normal.
Further, in step C, the data of air compressor machine working condition are timing comparing with preset safe handling data,
And most results are without departing from the range of safe handling data;During the comparison process, once the data of air compressor machine working condition
After having exceeded safe handling data area, server then sends fault pre-alarming information to the mobile terminal of binding, and the information content is
Faulty equipment is numbered and fault message.
Preferably, further including following steps:
D, the server platform judges whether air compressor machine keeps connecting, if the air compressor machine is online, enters step E;
If the air compressor machine is offline, F is entered step;
E, it checks the latest data of the air compressor machine feedback, and enters step F;
F, the data of historical record are checked, and enter step E.
Further, in step D, judge whether the method for line is the air compressor machine:The server platform timing is sent out
It send line to judge information, if the air compressor machine returns to feedback information, judges that the air compressor machine is online;Alternatively, the air compressor machine
Timing sends link information, and the server platform receives the link information, then judges that the air compressor machine is online.
Further, in step E, the method for updating the data is:The server platform timing judges the pneumatics
Whether there is or not updates for the data of machine, if so, then recording the newest data;Alternatively, when the data update of the air compressor machine, from
Dynamic to send the data to the server platform, the server platform updates and records the newest data.
Preferably, in the F-step, when checking the data of historical record, may be selected to check described in mobile phone reservoir
Data, or check the data in server reservoir.
Further, the data of the air compressor machine include:Operating parameter, customer parameter, maintenance parameters, Protection parameters
Or host frequency conversion parameter;
The operating parameter includes:Host running frequency, host output rotating speed, host output current, host output voltage,
Frequency conversion busbar voltage, motor real output, current pressure, Current Temperatures, fan condition, wind turbine output current, wind turbine are defeated
Go out voltage, fan operation rotating speed, fan operation frequency or frequency converting temperature, user.
Further, using a kind of the air compressor machine monitoring method based on Internet of Things system, including air compressor machine, server be flat
Platform and mobile terminal;The air compressor machine is connect with the server, is connected between the server platform and the mobile terminal;
The mobile terminal includes:Mobile phone reservoir and monitoring software;
The server platform includes Internet of Things module, database and server reservoir.
Beneficial effects of the present invention:This system is to combine air compressor machine Internet of things system, online monitoring system and mobile terminal
System, the comprehensive operation data for forming the air compressor machine that can give warning in advance, to judge;Producer engineering staff can do long-range number
It is investigated that seeing, draw a conclusion further according to data and make the breakdown judge that machine will occur, notifies corresponding personnel to handle, do not have in machine
Schedule ahead is safeguarded when faulty shutdown.
Description of the drawings
Fig. 1 is the flow diagram of step A, B and C of one embodiment of the present of invention;
Fig. 2 is the flow diagram of step D, E and F of one embodiment of the present of invention.
Specific implementation mode
Technical solution to further illustrate the present invention below with reference to the accompanying drawings and specific embodiments.
As shown in Figs. 1-2, a kind of air compressor machine monitoring method based on Internet of Things, includes the following steps:
A, air compressor machine feeds back to working condition in server;
B, server preserves the data that air compressor machine is fed back, and is carried out pair with the default security value (s) in server
Than;
C, server comparing result then sends out fault pre-alarming signal to mobile terminal, server pair beyond default security value (s)
It is normally not send pre-warning signal then than result.
Sensor and Internet of Things module are installed to each component of compressor, each unit status of air compressor machine is enable to pass through object
In networking transport to server, the working condition of equipment can be directly acquainted with by so that user and manufacturer is passed through Internet of Things, and
Data comparison is carried out by server, whether the working condition of air compressor machine is monitored in normal condition, user is made to make
Used time is more with good grounds, can be safeguarded to equipment with safe, avoids catastrophic failure, saves the working time, improves work effect
Rate.
Wherein, the safe handling data of each component of air compressor machine, air compressor machine feedback have been preset in step B, in server in advance
Data be all stored in server, air compressor machine feedback operating state data with use safely data timing compared,
To which whether the state for being previously obtained air compressor machine is normal.
The data of feedback are stored in air compressor machine, can record the working condition of air compressor machine, after failure generation, Huo Zheshe
For when safeguarding, by observing operating status record, it can be quickly found out fault point, or the component needed replacing;In addition, tieing up
During shield, it can conclude that whether equipment needs to be serviced by reference device operating status record.
Wherein, the safe handling data of each component of air compressor machine, air compressor machine feedback have been preset in step B, in server in advance
Data be all stored in server, air compressor machine feedback operating state data with use safely data timing compared,
To which whether the state for being previously obtained air compressor machine is normal.
By the preset value of default safe handling data, data, equipment have the function of fault self-checking, user as a comparison
What can more be trusted in use concentrates on being produced, and in this case, psychology of workers burden is small, can also improve work
Make efficiency.
In addition, in step C, the data of air compressor machine working condition are timing comparing with preset safe handling data, and
Range of most results without departing from safe handling data;During the comparison process, once the data of air compressor machine working condition exceed
After safe handling data area, server then sends fault pre-alarming information to the mobile terminal of binding, and the information content is failure
Device numbering and fault message.
User or equipment caregiver, caregiver is reminded only to need equipment by way of sending warning message automatically
Fault message informs manufacturer or related technical personnel;Caregiver can not also be used, the shifting of binding is used by related technical personnel
The nurse to equipment can be realized in dynamic terminal.
Further include following steps as the supplement to above-mentioned technology:
D, the server platform judges whether air compressor machine keeps connecting, if the air compressor machine is online, enters step E;
If the air compressor machine is offline, F is entered step;
E, it checks the latest data of the air compressor machine feedback, and enters step F;
F, the data of historical record are checked, and enter step E.
Air compressor machine post sales is monitored in real time by mobile terminal, allows after-sales staff that can grasp all sale whenever and wherever possible
The state of air compressor machine afterwards provides remote service for client;The related data of air compressor machine can also be inquired, it is easy to recognize
The working condition of equipment.
Wherein, in step D, judge whether the method for line is the air compressor machine:The server platform timing, which is sent, to be connected
Line judges information, if the air compressor machine returns to feedback information, judges that the air compressor machine is online;Alternatively, the air compressor machine timing
Link information is sent, the server platform receives the link information, then judges that the air compressor machine is online.
One is the server platform query formulation, another kind is the active transmission link information of the air compressor machine, with this
Judge the air compressor machine whether line, it is convenient and quick.
It is worth noting that, in step E, the method for updating the data is:Described in the server platform timing judges
Whether there is or not updates for the data of air compressor machine, if so, then recording the newest data;Alternatively, the data update of the air compressor machine
When, the data are sent automatically to the server platform, and the server platform updates and records the newest data.
When the air compressor machine can not connect, by enquiry of historical data, the analysis of system simultaneously finds the air compressor machine
Problem.
In addition, in the F-step, when checking the data of historical record, it may be selected to check the number in mobile phone reservoir
According to, or check the data in server reservoir.
The amount of storage of the server reservoir is big, and the processing speed of the server is fast, is stored up with the server
Storage is the best method of historical data;But when the server reservoir can not be connected, the mobile phone reservoir is inquired
Data and good alternative scheme.
In addition, the data of air compressor machine include:Operating parameter, customer parameter, maintenance parameters, Protection parameters or host
Frequency conversion parameter;
The operating parameter includes:Host running frequency, host output rotating speed, host output current, host output voltage,
Frequency conversion busbar voltage, motor real output, current pressure, Current Temperatures, fan condition, wind turbine output current, wind turbine are defeated
Go out voltage, fan operation rotating speed, fan operation frequency or frequency converting temperature, user.
All data of air compressor machine described in overall monitor provide enough data foundations, overall monitor institute to after-sales staff
State the state of air compressor machine.
In addition, using a kind of system of the air compressor machine monitoring method based on Internet of Things, including air compressor machine, server platform and
Mobile terminal;The air compressor machine is connect with the server, is connected between the server platform and the mobile terminal;
The mobile terminal includes:Mobile phone reservoir and monitoring software;
The server platform includes Internet of Things module, database and server reservoir.
Through the above structure, after-sales staff monitors the operating status of air compressor machine in real time by mobile terminal to the present invention, and with
This provides remote guide for foundation;It is necessary to when, the scene that after-sales staff reaches air compressor machine in time can be made to be safeguarded;To
It can more accurately be exchanged in terms of plant maintenance with repairing, more efficient processing.
The technical principle of the present invention is described above in association with specific embodiment.These descriptions are intended merely to explain the present invention's
Principle, and it cannot be construed to limiting the scope of the invention in any way.Based on the explanation herein, the technology of this field
Personnel would not require any inventive effort the other specific implementation modes that can associate the present invention, these modes are fallen within
Within protection scope of the present invention.
Claims (1)
1. a kind of air compressor machine monitoring method based on Internet of Things, it is characterised in that:Include the following steps:
A, air compressor machine feeds back to working condition in server;
B, server preserves the data that air compressor machine is fed back, and is compared with the default security value (s) in server;
C, server comparing result then sends out fault pre-alarming signal to mobile terminal, server comparison knot beyond default security value (s)
Fruit is normally not send pre-warning signal then;
In step A, due to including multiple air compressor machines in system, so air compressor machine is when feedback operation state is to server, meeting
By under corresponding feedback of status to corresponding number, feedback system is timing feedback;
The safe handling data of each component of air compressor machine are preset in step B, in server in advance, the data of air compressor machine feedback are whole
It is stored in server, the operating state data and safe handling data timing of air compressor machine feedback are compared, and are obtained to advance
Whether the state to air compressor machine is normal;
In step C, the data of air compressor machine working condition are timing comparing with preset safe handling data, and most results are not
The range of safe handling data can be exceeded;During the comparison process, once the data of air compressor machine working condition have exceeded safe handling
After data area, server then to the mobile terminal of binding send fault pre-alarming information, the information content be faulty equipment number and
Fault message;
Further include following steps:
D, the server judges whether air compressor machine keeps connecting, if the air compressor machine is online, enters step E;If the sky
Press is offline, then enters step F;
E, the latest data of the air compressor machine feedback is checked;
F, the data of historical record are checked;
In the F-step, when checking the data of historical record, it may be selected to check the data in mobile phone reservoir, Huo Zhecha
See the data in server reservoir;
In step D, judge whether the method for line is the air compressor machine:The server timing sends line and judges information, if
The air compressor machine returns to feedback information, then judges that the air compressor machine is online;Alternatively, the air compressor machine timing sends link information,
The server receives the link information, then judges that the air compressor machine is online;
In step E, the method for updating the data is:Server timing judges the data of the air compressor machine whether there is or not update,
If so, then recording the newest data;Alternatively, when the data update of the air compressor machine, send automatically the data to
The server, the server update simultaneously record the newest data;
The data of the air compressor machine include:Operating parameter, customer parameter, maintenance parameters, Protection parameters;
The operating parameter includes:Host running frequency, host output rotating speed, host output current, host output voltage, frequency conversion
Busbar voltage, motor real output, current pressure, Current Temperatures, fan condition, wind turbine output current, wind turbine output electricity
Pressure, fan operation rotating speed, fan operation frequency or frequency converting temperature;
Further include air compressor system, the air compressor system includes air compressor machine, server and mobile terminal;The air compressor machine and institute
Server connection is stated, is connected between the server and the mobile terminal;
The mobile terminal includes:Mobile phone reservoir and monitoring software;
The server includes Internet of Things module, database and server reservoir.
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CN107247432B (en) * | 2017-06-27 | 2018-12-18 | 蘑菇物联技术(深圳)有限公司 | The remote auto determination method of screw type air compressor cooling system failure |
CN107762821A (en) * | 2017-09-08 | 2018-03-06 | 深圳市智物联网络有限公司 | A kind of air compressor monitoring method and system based on Internet of Things |
CN108010161A (en) * | 2017-11-24 | 2018-05-08 | 深圳市铁虎门禁智能技术有限公司 | A kind of banister control method and system |
CN108916019B (en) * | 2018-06-02 | 2021-04-16 | 杭州裕达自动化科技有限公司 | Air compressor remote monitoring system |
BE1026577B1 (en) * | 2018-08-29 | 2020-03-30 | Atlas Copco Airpower Nv | Compressor or pump provided with a control for the control of a control parameter and method for the control applied |
CN112392708A (en) * | 2020-12-17 | 2021-02-23 | 黄剑 | Compressor management method based on Internet of things |
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JP2003091313A (en) * | 2001-09-17 | 2003-03-28 | Hitachi Ltd | Remote supervisory system for compressor |
US8105282B2 (en) * | 2007-07-13 | 2012-01-31 | Iradimed Corporation | System and method for communication with an infusion device |
CN101655085A (en) * | 2009-07-28 | 2010-02-24 | 深圳寿力亚洲实业有限公司 | Air compressor monitoring equipment and system thereof |
CN104122876A (en) * | 2014-08-01 | 2014-10-29 | 福州固力工业成套设备有限公司 | Internet of Things based monitoring system for air compressors |
CN104216389A (en) * | 2014-10-04 | 2014-12-17 | 上海工程技术大学 | Remote air compressor monitoring system based on internet of things |
CN204783597U (en) * | 2015-07-14 | 2015-11-18 | 杭州绿产节能技术研究有限公司 | Long -range wireless monitoring system of air compressor machine distributing type |
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Application publication date: 20161012 Assignee: Guangdong Xingwulian Technology Co.,Ltd. Assignor: GUANGDONG BALDOR-TECH. CO.,LTD. Contract record no.: X2024980002548 Denomination of invention: A monitoring method and system for air compressors based on the Internet of Things Granted publication date: 20181106 License type: Common License Record date: 20240306 |
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