CN106121981A - A kind of air compressor machine fault remote processing method based on Internet of Things and system - Google Patents
A kind of air compressor machine fault remote processing method based on Internet of Things and system Download PDFInfo
- Publication number
- CN106121981A CN106121981A CN201610491673.0A CN201610491673A CN106121981A CN 106121981 A CN106121981 A CN 106121981A CN 201610491673 A CN201610491673 A CN 201610491673A CN 106121981 A CN106121981 A CN 106121981A
- Authority
- CN
- China
- Prior art keywords
- air compressor
- compressor machine
- server
- data
- fault
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
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
-
- 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
Abstract
The present invention relates to plant equipment after-sales service field, be specifically related to a kind of air compressor machine fault remote processing method based on Internet of Things and system, mainly comprise the steps: that duty is fed back in server by A, air compressor machine；The data that air compressor machine feeds back are preserved by B, server, and contrast with the preset security numerical value in server；C, server comparing result then generate fault pre-alarming signal beyond preset security numerical value, and fault pre-alarming signal is the alarm code being pre-designed, and alarm code is used for storing record；Alarm code is transferred to, by server, the word warning message that code is corresponding afterwards；D, server comparing result then send the word warning message mobile terminal to binding beyond preset security numerical value, and server comparing result is not for normally the most to send word warning message；E, by remotely fixing a breakdown online.After engineer learns fault message code online, formulate solution, remote guide or after carrying out adequate preparation to going to scene to keep in repair again.
Description
Technical field
The present invention relates to plant equipment after-sales service field, be specifically related to a kind of air compressor machine fault remote based on Internet of Things
Processing method and system.
Background technology
There is staff to pinpoint nurse currently for large-scale air compressor machine gas station arrangement, but be difficult to reach by artificial nurse
To the effect of in real time monitoring, so in place of the Shortcomings that remains unchanged in terms of trouble saving, and air compressor machine break down after to life
Producing impact very big, air compressor machine fault means to produce and stops；Additionally, due to equipment degree of understanding deficiency etc. is asked by air compressor machine user
Topic, after often equipment breaks down cannot the problem of annunciator promptly and accurately, cause the process time long.
More advanced monitoring system existing in compressor industry at present, can't accomplish every for compressor major parameter
It is transferred to supplier and client in real time, and effective energy utilization rate of compressor apparatus can not be analyzed and in time
The every related data providing the utilization of resources carrys out ancillary works personnel and carries out the corresponding reducing energy consumption of equipment.
Remote Monitoring System of Air compressor can facilitate technical staff the most just to need not can remotely monitor multiple stage pneumatics
The ruuning situation of machine.Prior art cannot solve keep in repair and do not catch up with because the reasons such as misoperation break down, for a long time
Shut down the problem that will bring massive losses to user.Meanwhile, the ruuning situation of air compressor machine cannot also be recognized whenever and wherever possible, also
Solution timely cannot can be given when breaking down problem.
Summary of the invention
For drawbacks described above, it is an object of the invention to propose a kind of air compressor machine fault remote process side based on Internet of Things
Method and a kind of air compressor machine fault remote processing system based on Internet of Things, this system can make caregiver monitor air compressor machine in real time
State, additionally it is possible to assist maintenance of equipment by the way of remote assistance.
A kind of air compressor machine fault remote processing method based on Internet of Things, comprises the steps:
Duty is fed back in server by A, air compressor machine；
The data that air compressor machine feeds back are preserved by B, server, and contrast with the preset security numerical value in server；
C, server comparing result then generate fault pre-alarming signal beyond preset security numerical value, and fault pre-alarming signal is for being pre-designed
Alarm code, alarm code is used for storing record；Alarm code is transferred to, by server, the word alarm signal that code is corresponding afterwards
Breath；
D, server comparing result then send the word warning message mobile terminal to binding, server beyond preset security numerical value
Comparing result is not for normally the most to send word warning message；
E, fixed a breakdown by online remote assistance；
F, described server platform judge whether air compressor machine keeps connecting, if described air compressor machine is online, then enter step G；If institute
State air compressor machine off-line, then enter step H；
G, check the latest data that described air compressor machine feeds back, and enter step I；
H, check the data of historical record, and enter step I;
I, activation map software, call the satellite positioning information in described data；Enable navigation feature, real-time navigation to described sky
The position of press.
Further, in step A, owing to system includes by multiple air compressor machines, so air compressor machine is in feedback operation state
During to server, corresponding feedback of status can be numbered lower to corresponding and be stored in server, feedback system is timing feedback.
It is preferred that in step B, preset the safe handling data of each assembly of air compressor machine in server in advance, air compressor machine is anti-
The data of feedback are all stored in server, and it is right that the operating state data of air compressor machine feedback and safe handling data timing are carried out
Ratio, thus the state being previously obtained air compressor machine is the most normal.
Further, in step C, the operating state data of air compressor machine feedback contrasts with safe handling data timing,
Comparing result then generates fault pre-alarming signal beyond preset security numerical value, and fault pre-alarming signal is corresponding to the warning generation being pre-designed
Code, alarm code is transferred to the word warning message of correspondence by server afterwards, it is simple to staff gets more information about equipment
Fault message.
It is preferred that in step D, the data of air compressor machine duty are timing comparing with the safe handling data preset, and
And in most cases, comparing result is without departing from the scope of safe handling data；In comparison process, once air compressor machine work shape
After the data of state are beyond safe handling scope of data, server then sends word warning message, letter to the mobile terminal of binding
Breath content is faulty equipment numbering and fault message.
It is preferred that in step H, owing in air compressor machine, parameter arranges the incorrect fault caused, technical staff passes through terminal
After inquiring this type of fault, after checking parameter, the parameter matched by on-line tuning can remotely solve fault；The most long-range
Operation is additionally operable to assist field personnel's controlling equipment.
Further, in step E, it is judged that the method for described air compressor machine whether line is: the timing of described server platform is sent out
Send line to judge information, if described air compressor machine returns feedback information, then judge that described air compressor machine is online；Or, described air compressor machine
Timing sends link information, and described server platform receives described link information, then judge that described air compressor machine is online.
Further, in step F, the method updating described data is: the timing of described server platform judges described pneumatics
The data of machine are with or without renewal, if having, then record up-to-date described data；Or, when the described data of described air compressor machine update, from
The described data of dynamic transmission are to described server platform, and described server platform updates and records up-to-date described data.
It is preferred that in step G, when checking the data of historical record, may select and check the described data in mobile phone bin,
Or check the described data in server bin；
In step I, during activation map software, first judge whether mobile client installs the map software with navigation feature,
If no, then downloading the map software specified；If there being multiple map software, then select one of them；
Described operational factor includes: main frame running frequency, main frame output speed, main frame output electric current, main frame output voltage, frequency conversion
Busbar voltage, motor real output, current pressure, Current Temperatures, fan condition, blower fan output electric current, blower fan output electricity
Pressure, fan operation rotating speed, fan operation frequency or frequency converting temperature, user.
It is preferred that include air compressor machine, server platform and mobile terminal；Described air compressor machine is connected with described server, institute
State and be connected between server platform with described mobile terminal；
Described mobile terminal includes: mobile phone bin, monitoring software and map software；
Described server platform includes Internet of Things module, data base and server bin；
Described air compressor machine and described server platform, by wireless company between the most described server platform and described mobile terminal
Connect.
Native system is to combine air compressor machine Internet of things system, online monitoring system and mobile terminal system, and comprehensive formation can
Make the fault pre-alarming service data of air compressor machine in advance；Producer engineering staff can do teledata and check, draws further according to data
Conclusion makes the breakdown judge that machine i.e. will appear from, and notifies that corresponding personnel process, at machine in the case of making solution
When device does not has a disorderly closedown, schedule ahead is safeguarded；Additionally it is possible to remote assistance or remotely modifying parameter are safeguarded or are keeped in repair and set
Standby, reach the effect with prevention apparatus catastrophic failure and high-efficient maintenance.
Accompanying drawing explanation
Fig. 1 is the step A schematic flow sheet to step E of one embodiment of the present of invention；
Fig. 2 is the step F schematic flow sheet to step I of one embodiment of the present of invention.
Detailed description of the invention
Further illustrate technical scheme below in conjunction with the accompanying drawings and by detailed description of the invention.
As shown in Figure 1-2, a kind of air compressor machine fault remote processing method based on Internet of Things, comprise the steps:
Duty is fed back in server by A, air compressor machine；
The data that air compressor machine feeds back are preserved by B, server, and contrast with the preset security numerical value in server；
C, server comparing result then generate fault pre-alarming signal beyond preset security numerical value, and fault pre-alarming signal is for being pre-designed
Alarm code, alarm code is used for storing record；Alarm code is transferred to, by server, the word alarm signal that code is corresponding afterwards
Breath；
D, server comparing result then send the word warning message mobile terminal to binding, server beyond preset security numerical value
Comparing result is not for normally the most to send word warning message；
E, fixed a breakdown by online remote assistance；
F, described server platform judge whether air compressor machine keeps connecting, if described air compressor machine is online, then enter step G；If institute
State air compressor machine off-line, then enter step H；
G, check the latest data that described air compressor machine feeds back, and enter step I；
H, check the data of historical record, and enter step I;
I, activation map software, call the satellite positioning information in described data；Enable navigation feature, real-time navigation to described sky
The position of press.
Install sensor and Internet of Things module to each parts of compressor, enable each unit status of air compressor machine to pass through thing
Networking transport, in server, makes user and manufacturer just can be directly acquainted with the duty of equipment by Internet of Things, and
Carry out Data Comparison by server, whether the duty of air compressor machine is in normal condition and is monitored, make user make
Used time is more with good grounds, can safeguard equipment with safe, it is to avoid catastrophic failure, saves the working time, improves work effect
Rate, and needs when, allow personnel after sale can by satellite positioning information promptly and accurately navigate to fault air compressor machine
Position, it is provided that corresponding after-sale service；In addition can safeguard by remote assistance or remotely modifying parameter or keep in repair
Equipment, reaches the effect with prevention apparatus catastrophic failure.
Wherein, in step A, owing to system includes by multiple air compressor machines, thus air compressor machine feedback operation state to clothes
During business device, corresponding feedback of status can be numbered lower to corresponding and be stored in server, feedback system is timing feedback.
The data of feedback are stored in air compressor machine, can record the duty of air compressor machine, after fault occurs, or set
For when safeguarding, by observing operating status record, trouble point can be quickly found out, or need the parts changed；Additionally, in dimension
During protecting, i.e. can conclude that equipment is the need of safeguarding by reference device operating status record.
Wherein, in step B, having preset the safe handling data of each assembly of air compressor machine in server in advance, air compressor machine feeds back
Data be all stored in server, air compressor machine feedback operating state data with use safely data timing contrast,
Thus the state that is previously obtained air compressor machine is the most normal.
Used the preset value data as a comparison of data by preset security, equipment has the function of fault self-checking, user
In use can be more relieved concentrate on produces, and in this case, psychology of workers burden is little, it is also possible to improve work
Make efficiency.
Further, in step C, the operating state data of air compressor machine feedback contrasts with safe handling data timing,
Comparing result then generates fault pre-alarming signal beyond preset security numerical value, and fault pre-alarming signal is corresponding to the warning generation being pre-designed
Code, alarm code is transferred to the word warning message of correspondence by server afterwards, it is simple to staff gets more information about equipment
Fault message.
Reminding user or equipment ward by the way of automatically sending warning message, ward only needs equipment
Fault message informs manufacturer or person skilled；Ward can not also be used, person skilled use the shifting of binding
Dynamic terminal can realize the nurse to equipment.
It should be noted that in step D, the data of air compressor machine duty and the safe handling data preset are that timing is right
Ratio, and in most cases, comparing result is without departing from the scope of safe handling data；In comparison process, once air compressor machine
After the data of duty are beyond safe handling scope of data, server then sends word alarm signal to the mobile terminal of binding
Breath, information content is faulty equipment numbering and fault message.
By the fault message sent after feedback analysis, related personnel can get information about the fault message of equipment,
It is thus possible to valid developing programs solves problem, in this case, preparation is more abundant, thus in hgher efficiency.
Supplement as to above-mentioned technology, in step H, owing in air compressor machine, parameter arranges the incorrect fault caused, skill
After art personnel are by terminal inquiry to this type of fault, after checking parameter, the parameter matched by on-line tuning can remotely be solved
Certainly fault；In addition remotely operation is additionally operable to assist field personnel's controlling equipment.
Remotely solve fault and two kinds of functions of remote assistance can more directly operate equipment, so that Air Compressor Equipment
Professional and technical personnel can be directly acquainted with and process relevant technical problem, improve efficiency, it is to avoid layman's is dry
Disturb, make maintenance and repair aspect efficiency and quality more preferably.
Additionally, in step E, it is judged that the method for described air compressor machine whether line is: the timing of described server platform sends even
Line judges information, if described air compressor machine returns feedback information, then judges that described air compressor machine is online；Or, the timing of described air compressor machine
Sending link information, described server platform receives described link information, then judge that described air compressor machine is online.
One is described server platform query formulation, and another kind is described air compressor machine active transmission link information, with this
Judge described air compressor machine whether line, convenient and quick.
Additionally, in step F, the method updating described data is: the timing of described server platform judges described air compressor machine
Data are with or without renewal, if having, then record up-to-date described data；Or, when the described data of described air compressor machine update, automatically send out
Sending described data to described server platform, described server platform updates and records up-to-date described data.
When described air compressor machine cannot connect, by enquiry of historical data, the analysis of system also finds described air compressor machine
Problem.
It should be noted that in step G, when checking the data of historical record, may select and check the institute in mobile phone bin
State data, or check the described data in server bin；
In step I, during activation map software, first judge whether mobile client installs the map software with navigation feature,
If no, then downloading the map software specified；If there being multiple map software, then select one of them；
Described operational factor includes: main frame running frequency, main frame output speed, main frame output electric current, main frame output voltage, frequency conversion
Busbar voltage, motor real output, current pressure, Current Temperatures, fan condition, blower fan output electric current, blower fan output electricity
Pressure, fan operation rotating speed, fan operation frequency or frequency converting temperature, user.
The amount of storage of described server bin is big, and the processing speed of described server is fast, is to store up with described server
Storage is the best method of historical data；But when described server bin cannot be connected, inquire about described mobile phone bin
Data, be also good alternative scheme；In the case of mobile terminal does not installs map software, can quickly download needs
Map software, solves the worry of user.
Additionally, include air compressor machine, server platform and mobile terminal；Described air compressor machine is connected with described server, described
It is connected between server platform with described mobile terminal；
Described mobile terminal includes: mobile phone bin, monitoring software and map software；
Described server platform includes Internet of Things module, data base and server bin；
Described air compressor machine and described server platform, by wireless company between the most described server platform and described mobile terminal
Connect.
All data of air compressor machine described in overall monitor, provide enough data foundations, overall monitor institute to personnel after sale
State the state of air compressor machine；All described air compressor machines post sales are carried out Classification Management, makes monitoring and manage highly efficient；This
Bright by above structure, after sale personnel by mobile terminal, monitor the running status of air compressor machine in real time, and provide on this basis
Remote guide；When being necessary, the scene that personnel after sale can be made to arrive air compressor machine in time is safeguarded；Client is made to enjoy more high-quality
After-sale service.
The know-why of the present invention is described above in association with specific embodiment.These describe and are intended merely to explain the present invention's
Principle, and limiting the scope of the invention can not be construed to by any way.Based on explanation herein, the technology of this area
Personnel need not pay performing creative labour can associate other detailed description of the invention of the present invention, and these modes fall within
Within protection scope of the present invention.
Claims (10)
1. an air compressor machine fault remote processing method based on Internet of Things, it is characterised in that: comprise the steps:
Duty is fed back in server by A, air compressor machine；
The data that air compressor machine feeds back are preserved by B, server, and contrast with the preset security numerical value in server；
C, server comparing result then generate fault pre-alarming signal beyond preset security numerical value, and fault pre-alarming signal is for being pre-designed
Alarm code, alarm code is used for storing record；Alarm code is transferred to, by server, the word alarm signal that code is corresponding afterwards
Breath；
D, server comparing result then send the word warning message mobile terminal to binding, server beyond preset security numerical value
Comparing result is not for normally the most to send word warning message；
E, fixed a breakdown by online remote assistance；
F, described server platform judge whether air compressor machine keeps connecting, if described air compressor machine is online, then enter step G；If institute
State air compressor machine off-line, then enter step H；
G, check the latest data that described air compressor machine feeds back, and enter step I；
H, check the data of historical record, and enter step I;
I, activation map software, call the satellite positioning information in described data；Enable navigation feature, real-time navigation to described sky
The position of press.
Air compressor machine fault remote processing method based on Internet of Things the most according to claim 1, it is characterised in that: step A
In, owing to system includes by multiple air compressor machines, so air compressor machine is when feedback operation state to server, can be by corresponding shape
State feeds back to number down and be stored in server accordingly, and feedback system is timing feedback.
Air compressor machine fault remote processing method based on Internet of Things the most according to claim 1, it is characterised in that: step B
In, server has been preset the safe handling data of each assembly of air compressor machine in advance, the data of air compressor machine feedback are all stored in clothes
In business device, the operating state data of air compressor machine feedback contrasts with safe handling data timing, thus is previously obtained air compressor machine
State the most normal.
Air compressor machine fault remote processing method based on Internet of Things the most according to claim 1, it is characterised in that: step C
In, the operating state data of air compressor machine feedback contrasts with safe handling data timing, and comparing result exceeds preset security number
Value then generates fault pre-alarming signal, and fault pre-alarming signal is corresponding to the alarm code being pre-designed, and alarm code is by servicing afterwards
Device transfers the word warning message of correspondence to, it is simple to staff gets more information about the fault message of equipment.
Air compressor machine fault remote processing method based on Internet of Things the most according to claim 1, it is characterised in that: step D
In, the data of air compressor machine duty are timing comparing with the safe handling data preset, and in most cases, comparing result
Scope without departing from safe handling data；In comparison process, once the data of air compressor machine duty make beyond safety
After scope of data, server then sends word warning message to the mobile terminal of binding, and information content is faulty equipment numbering
And fault message.
Air compressor machine fault remote processing method based on Internet of Things the most according to claim 1, it is characterised in that: step H
In, owing in air compressor machine, parameter arranges the incorrect fault caused, after technical staff is by terminal inquiry to this type of fault, check
After parameter, the parameter matched by on-line tuning can remotely solve fault；In addition remotely operation is additionally operable to assist on-the-spot work
Make personnel's controlling equipment.
Air compressor machine fault remote processing method based on Internet of Things the most according to claim 1, it is characterised in that: step E
In, it is judged that the method for described air compressor machine whether line is: the timing of described server platform sends line and judges information, if described sky
Press returns feedback information, then judge that described air compressor machine is online；Or, the timing of described air compressor machine sends link information, described clothes
Business device platform receives described link information, then judge that described air compressor machine is online.
Air compressor machine fault remote processing method based on Internet of Things the most according to claim 1, it is characterised in that: step F
In, the method updating described data is: described server platform timing judge the data of described air compressor machine with or without renewal, if having,
Then record up-to-date described data；Or, when the described data of described air compressor machine update, automatically send described data to described clothes
Business device platform, described server platform updates and records up-to-date described data.
Air compressor machine fault remote processing method based on Internet of Things the most according to claim 1, it is characterised in that: step G
In, when checking the data of historical record, may select and check the described data in mobile phone bin, or check server bin
In described data；
In step I, during activation map software, first judge whether mobile client installs the map software with navigation feature,
If no, then downloading the map software specified；If there being multiple map software, then select one of them；
Described operational factor includes: main frame running frequency, main frame output speed, main frame output electric current, main frame output voltage, frequency conversion
Busbar voltage, motor real output, current pressure, Current Temperatures, fan condition, blower fan output electric current, blower fan output electricity
Pressure, fan operation rotating speed, fan operation frequency or frequency converting temperature, user.
10. according to the air compressor machine fault remote processing method based on Internet of Things described in any one in claim 1-9 it is
System, it is characterised in that: include air compressor machine, server platform and mobile terminal；Described air compressor machine is connected with described server, described
It is connected between server platform with described mobile terminal；
Described mobile terminal includes: mobile phone bin, monitoring software and map software；
Described server platform includes Internet of Things module, data base and server bin；
Described air compressor machine and described server platform, by wireless company between the most described server platform and described mobile terminal
Connect.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610491673.0A CN106121981A (en) | 2016-06-29 | 2016-06-29 | A kind of air compressor machine fault remote processing method based on Internet of Things and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610491673.0A CN106121981A (en) | 2016-06-29 | 2016-06-29 | A kind of air compressor machine fault remote processing method based on Internet of Things and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106121981A true CN106121981A (en) | 2016-11-16 |
Family
ID=57285374
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610491673.0A Pending CN106121981A (en) | 2016-06-29 | 2016-06-29 | A kind of air compressor machine fault remote processing method based on Internet of Things and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106121981A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106996367A (en) * | 2017-05-24 | 2017-08-01 | 南水北调东线江苏水源有限责任公司 | The perception warning system and perception alarm method of pumping station operation |
| CN107168295A (en) * | 2017-06-27 | 2017-09-15 | 佛山蘑菇物联技术有限公司 | The communications protocol allocation engine and method of real-time of air compressor machine Internet of Things module based on cloud computing |
| CN107247432A (en) * | 2017-06-27 | 2017-10-13 | 佛山蘑菇物联技术有限公司 | The remote auto decision method of screw type air compressor cooling system failure |
| 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 |
| CN109542928A (en) * | 2018-11-20 | 2019-03-29 | Oppo（重庆）智能科技有限公司 | Mistake manages method, apparatus, storage medium and terminal device |
| CN113250961A (en) * | 2021-05-10 | 2021-08-13 | 广东葆德科技有限公司 | Compressor fault detection method and detection system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002122079A (en) * | 2000-10-13 | 2002-04-26 | Mitsui Seiki Kogyo Co Ltd | Remote control method for compressor |
| 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 |
| CN102185873A (en) * | 2011-01-13 | 2011-09-14 | 浙江佳成机械有限公司 | An inflator quick service responding system and a service responding method thereof |
| CN103133321A (en) * | 2011-12-05 | 2013-06-05 | 复盛股份有限公司 | Air pressure system maintenance early warning device and method 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 |
| CN104564642A (en) * | 2014-12-25 | 2015-04-29 | 常州先进制造技术研究所 | Detecting system for air compressor performance |
-
2016
- 2016-06-29 CN CN201610491673.0A patent/CN106121981A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002122079A (en) * | 2000-10-13 | 2002-04-26 | Mitsui Seiki Kogyo Co Ltd | Remote control method for compressor |
| 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 |
| CN102185873A (en) * | 2011-01-13 | 2011-09-14 | 浙江佳成机械有限公司 | An inflator quick service responding system and a service responding method thereof |
| CN103133321A (en) * | 2011-12-05 | 2013-06-05 | 复盛股份有限公司 | Air pressure system maintenance early warning device and method 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 |
| CN104564642A (en) * | 2014-12-25 | 2015-04-29 | 常州先进制造技术研究所 | Detecting system for air compressor performance |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106996367A (en) * | 2017-05-24 | 2017-08-01 | 南水北调东线江苏水源有限责任公司 | The perception warning system and perception alarm method of pumping station operation |
| CN106996367B (en) * | 2017-05-24 | 2019-01-04 | 南水北调东线江苏水源有限责任公司 | The perception alarm system and perception alarm method of pumping station operation |
| CN107168295A (en) * | 2017-06-27 | 2017-09-15 | 佛山蘑菇物联技术有限公司 | The communications protocol allocation engine and method of real-time of air compressor machine Internet of Things module based on cloud computing |
| CN107247432A (en) * | 2017-06-27 | 2017-10-13 | 佛山蘑菇物联技术有限公司 | The remote auto decision method of screw type air compressor cooling system failure |
| CN107168295B (en) * | 2017-06-27 | 2018-12-18 | 蘑菇物联技术（深圳）有限公司 | The communications protocol allocation engine and method of real-time of air compressor machine Internet of Things mould group based on cloud computing |
| 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 |
| CN109542928A (en) * | 2018-11-20 | 2019-03-29 | Oppo（重庆）智能科技有限公司 | Mistake manages method, apparatus, storage medium and terminal device |
| CN113250961A (en) * | 2021-05-10 | 2021-08-13 | 广东葆德科技有限公司 | Compressor fault detection method and detection system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106121981A (en) | A kind of air compressor machine fault remote processing method based on Internet of Things and system | |
| CN107748546B (en) | Intelligent factory inspection system based on LoRa technology | |
| CN106014947B (en) | A kind of air compressor machine monitoring method and system based on Internet of Things | |
| CN103163841B (en) | Automation equipment long distance control system and method | |
| CN103062862B (en) | Remote fault processing method for intelligent air conditioner | |
| CN103245912B (en) | A kind of running of wind generating set state analysis diagnostic method and system | |
| CN103163842B (en) | Automation equipment long distance control system and method | |
| JP2019530084A (en) | Factory equipment monitoring system and method using active black box | |
| CN109240236A (en) | Equipment management and auxiliary cruising inspection system | |
| CN109857020A (en) | Novel maintenance management system | |
| CN101582195B (en) | Method for generating alarm in dynamic environment monitoring system | |
| CN104965481A (en) | Water treatment monitoring platform based on cloud computing | |
| US10073429B2 (en) | Method, computation apparatus, user unit and system for parameterizing an electrical device | |
| CN101158858A (en) | Machinery room environmental monitoring system and method | |
| CN105049223A (en) | Electric power communication network defect and fault processing decision-aided analysis method | |
| CN102819249A (en) | Linkage control system and control method for power tunnel | |
| CN102639869B (en) | GPS automated tracking of mobile monitoring units | |
| CN110910369A (en) | Production line supervision method and device and storage medium | |
| CN105356680A (en) | Intelligent operation and maintenance system of power generator | |
| CN103453984A (en) | Wind power generation set vibration state monitoring and fault diagnosis system based on WiMAX system | |
| CN104376495A (en) | Wireless monitoring system and method for coal mine electromechanical device overhauling | |
| CN108667652A (en) | A kind of telecontrol communication machine standby machine handoff-security module and its switching method | |
| CN109885019A (en) | A kind of fan condition automatic judging method | |
| CN106444500A (en) | WeChat platform-based generator set remote control system | |
| CN105354769A (en) | Data processing method and device used for power distribution network equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161116 |