CN106014947A - Method and system for monitoring air compressor on basis of Internet of Things - Google Patents
Method and system for monitoring air compressor on basis of Internet of Things Download PDFInfo
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- CN106014947A CN106014947A CN201610491672.6A CN201610491672A CN106014947A CN 106014947 A CN106014947 A CN 106014947A CN 201610491672 A CN201610491672 A CN 201610491672A CN 106014947 A CN106014947 A CN 106014947A
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- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000012544 monitoring process Methods 0.000 title claims abstract description 22
- 238000012423 maintenance Methods 0.000 claims abstract description 8
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
- F04B49/06—Control using electricity
- F04B49/065—Control using electricity and making use of computers
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- 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 invention relates to the field of after-sales maintenance for mechanical equipment, and specifically relates to a method and a system for monitoring an air compressor on the basis of the Internet of Things. The method comprises the following steps: A. the air compressor feeds back a working state into a server; B. the server stores the data fed back by the air compressor, and compares the data with a preset security value in the server; and C. a fault early-warning signal is sent to a mobile terminal if a comparison result of the server exceeds the preset security value, and is not sent if the comparison result of the server is normal. The system is comprehensively formed through combining an Internet of Things system of the air compressor, an online monitoring system and a mobile terminal system, and is capable of carrying out early-warning on the running data of the air compressor in advance, so as to make a judgement; and manufacturers or related technicians can remotely view the data, and then draw a conclusion according to the data to make a judgment on a fault which is about to occur in the machine, notify corresponding personnel to process, and schedule maintenance in advance when the machine has no fault stop.
Description
Technical field
The present invention relates to plant equipment after-sales service field, be specifically related to a kind of air compressor machine based on Internet of Things monitoring method and system.
Background technology
At present, there is staff to pinpoint nurse for large-scale air compressor machine gas station arrangement, but be extremely difficult to the effect monitored in real time by artificial nurse, so in place of the Shortcomings that remains unchanged in terms of trouble saving, and air compressor machine is very big to Influence of production after breaking down, and air compressor machine fault means to produce and stops；Additionally, due to air compressor machine user is to problems such as equipment degree of understanding are not enough, 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 to be transferred to every for compressor major parameter in real time supplier and client, and can not be analyzed effective energy utilization rate of compressor apparatus and provide every related data of the utilization of resources to carry out ancillary works personnel in time carrying out the corresponding reducing energy consumption of equipment.
Remote Monitoring System of Air compressor can facilitate technical staff to need not the most just can remotely monitor the ruuning situation of multiple air compressors.Prior art cannot solve keep in repair because the reasons such as misoperation break down and do not catch up with, shut down the problem that will bring massive losses to user for a long time.Meanwhile, also cannot recognize the ruuning situation of air compressor machine whenever and wherever possible, also cannot can provide solution timely 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 based on Internet of Things monitoring method and a kind of air compressor machine method system based on Internet of Things, solve the problems referred to above, in real time monitoring air compressor machine state, and fault pre-alarming information can be sent.
For reaching this purpose, the present invention by the following technical solutions:
A kind of air compressor machine based on Internet of Things monitoring method, 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 send fault pre-alarming signal to mobile terminal beyond preset security numerical value, and server comparing result is not for normally the most to send early warning signal.
Further, in step A, owing to system includes by multiple air compressor machines, so air compressor machine is when feedback operation state to server, can be by under corresponding feedback of status to corresponding numbering, feedback system is timing feedback.
Further, in step B, 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 server, the operating state data of air compressor machine feedback contrasts with safe handling data timing, thus the state being previously obtained air compressor machine is the most normal.
Further, in step C, the data of air compressor machine duty are timing comparing with the safe handling data preset, and most result is without departing from the scope of safe handling data；In comparison process, after once the data of air compressor machine duty are beyond safe handling scope of data, server then sends fault pre-alarming information to the mobile terminal of binding, and information content is faulty equipment numbering and fault message.
It is preferred that also comprise the steps:
D, described server platform judge whether air compressor machine keeps connecting, if described air compressor machine is online, then enter step E；If described air compressor machine off-line, then enter step F；
E, check the latest data that described air compressor machine feeds back, and enter step F；
F, check the data of historical record, and enter step E.
Further, in step D, 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 air compressor machine return feedback information, then judge that described air compressor machine is online；Or, the timing of described air compressor machine sends link information, and described server platform receives described link information, then judge that described air compressor machine is online.
Further, in step E, the method updating described data is: the timing of described server platform judges that 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, the described data of transmission are to described server platform automatically, and described server platform updates and records up-to-date described data.
It is preferred that in described F step, 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.
Further, the described data of described air compressor machine include: operational factor, customer parameter, maintenance parameters, Protection parameters or main frame frequency conversion parameter；
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 voltage, fan operation rotating speed, fan operation frequency or frequency converting temperature, user.
Further, the system of a kind of air compressor machine based on Internet of Things monitoring method is used, including air compressor machine, server platform and mobile terminal；Described air compressor machine is connected with described server, is connected between described server platform with described mobile terminal；
Described mobile terminal includes: mobile phone bin and monitoring software；
Described server platform includes Internet of Things module, data base and server bin.
Beneficial effects of the present invention: native system is to combine air compressor machine Internet of things system, online monitoring system and mobile terminal system, the comprehensive service data forming the air compressor machine that can give warning in advance, thus judge；Producer engineering staff can do teledata and check, reaches a conclusion further according to data and makes the breakdown judge that machine i.e. will appear from, and notifies that corresponding personnel process, and when machine does not has disorderly closedown, schedule ahead is safeguarded.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of step A of one embodiment of the present of invention, B and C；
Fig. 2 is the schematic flow sheet of step D of one embodiment of the present of invention, E and F.
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 based on Internet of Things monitoring method, 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 send fault pre-alarming signal to mobile terminal beyond preset security numerical value, and server comparing result is not for normally the most to send early warning signal.
Sensor and Internet of Things module is installed to each parts of compressor, the each unit status enabling air compressor machine is transferred in server by Internet of Things, make 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 the most with good grounds, with safe, equipment can be safeguarded, avoid catastrophic failure, save the working time, improve work efficiency.
Wherein, in step B, having preset the safe handling data of each assembly of air compressor machine in server in advance, the data of air compressor machine feedback are all stored in server, the operating state data of air compressor machine feedback contrasts with safe handling data timing, thus the state being previously obtained air compressor machine is the most normal.
The data of feedback are stored in air compressor machine, can record the duty of air compressor machine, after fault occurs, or during plant maintenance, by observing operating status record, can be quickly found out trouble point, or need the parts changed；Additionally, in maintenance process, 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, the data of air compressor machine feedback are all stored in server, the operating state data of air compressor machine feedback contrasts with safe handling data timing, thus the state being 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, and what user in use can be more relieved concentrates on producing, and in this case, psychology of workers burden is little, it is also possible to improve work efficiency.
Additionally, in step C, the data of air compressor machine duty are timing comparing with the safe handling data preset, and most result is without departing from the scope of safe handling data；In comparison process, after once the data of air compressor machine duty are beyond safe handling scope of data, server then sends fault pre-alarming information to the mobile terminal of binding, and information content is faulty equipment numbering and fault message.
Reminding user or equipment ward by the way of automatically sending warning message, ward only needs the fault message of equipment is informed manufacturer or person skilled；Ward can not also be used, person skilled use the mobile terminal of binding can realize the nurse to equipment.
Supplement as to above-mentioned technology, also comprise the steps:
D, described server platform judge whether air compressor machine keeps connecting, if described air compressor machine is online, then enter step E；If described air compressor machine off-line, then enter step F；
E, check the latest data that described air compressor machine feeds back, and enter step F；
F, check the data of historical record, and enter step E.
Air compressor machine post sales is monitored in real time by mobile terminal, allows personnel after sale can grasp the state of all air compressor machines post sales whenever and wherever possible, provide remote service for client；The related data of air compressor machine can also be inquired about, it is easy to the duty recognizing equipment.
Wherein, in step D, 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 air compressor machine return feedback information, then judge that described air compressor machine is online；Or, the timing of described air compressor machine sends link information, and 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, judges described air compressor machine whether line with this, convenient and quick.
It should be noted that in step E, the method updating described data is: the timing of described server platform judges that 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, the described data of transmission are to described server platform automatically, and 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 the problem finding described air compressor machine.
Additionally, in described F step, 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.
The amount of storage of described server bin is big, and the processing speed of described server is fast, is to be the best method of historical data with described server bin；But when described server bin cannot be connected, inquire about the data of described mobile phone bin, be also good alternative scheme.
Additionally, the described data of air compressor machine include: operational factor, customer parameter, maintenance parameters, Protection parameters or main frame frequency conversion parameter；
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 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 to personnel after sale, the state of air compressor machine described in overall monitor.
Additionally, use the system of a kind of air compressor machine based on Internet of Things monitoring method, including air compressor machine, server platform and mobile terminal；Described air compressor machine is connected with described server, is connected between described server platform with described mobile terminal；
Described mobile terminal includes: mobile phone bin and monitoring software；
Described server platform includes Internet of Things module, data base and server bin.
The present invention by mobile terminal by above structure, after sale personnel, is monitored the running status of air compressor machine in real time, and provides remote guide on this basis；When being necessary, the scene that personnel after sale can be made to arrive air compressor machine in time is safeguarded；Thus can exchange more accurately in terms of plant maintenance with repairing, more efficient process.
The know-why of the present invention is described above in association with specific embodiment.These describe the principle being intended merely to explain the present invention, and can not be construed to limiting the scope of the invention by any way.Based on explanation herein, those skilled in the art need not pay performing creative labour can associate other detailed description of the invention of the present invention, within these modes fall within protection scope of the present invention.
Claims (10)
1. air compressor machine based on an Internet of Things monitoring method, 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 send fault pre-alarming signal to mobile terminal beyond preset security numerical value, and server comparing result is not for normally the most to send early warning signal.
Air compressor machine based on Internet of Things the most according to claim 1 monitoring method, it is characterized in that: in step A, owing to system includes by multiple air compressor machines, so air compressor machine is when feedback operation state to server, can be by under corresponding feedback of status to corresponding numbering, feedback system is timing feedback.
Air compressor machine based on Internet of Things the most according to claim 1 monitoring method, it is characterized in that: in step B, 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 server, the operating state data of air compressor machine feedback contrasts with safe handling data timing, thus the state being previously obtained air compressor machine is the most normal.
Air compressor machine based on Internet of Things the most according to claim 1 monitoring method, it is characterised in that: in step C, the data of air compressor machine duty are timing comparing with the safe handling data preset, and most result is without departing from the scope of safe handling data；In comparison process, after once the data of air compressor machine duty are beyond safe handling scope of data, server then sends fault pre-alarming information to the mobile terminal of binding, and information content is faulty equipment numbering and fault message.
Air compressor machine based on Internet of Things the most according to claim 1 monitoring method, it is characterised in that: also comprise the steps:
D, described server platform judge whether air compressor machine keeps connecting, if described air compressor machine is online, then enter step E；If described air compressor machine off-line, then enter step F；
E, check the latest data that described air compressor machine feeds back, and enter step F；
F, check the data of historical record, and enter step E.
Air compressor machine based on Internet of Things the most according to claim 1 monitoring method, it is characterized in that: in step D, the method judging described air compressor machine whether line is: the timing of described server platform sends line and judges information, if described air compressor machine returns feedback information, then judge that described air compressor machine is online；Or, the timing of described air compressor machine sends link information, and described server platform receives described link information, then judge that described air compressor machine is online.
Air compressor machine based on Internet of Things the most according to claim 1 monitoring method, it is characterized in that: in step E, the method updating described data is: the timing of described server platform judges that 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, the described data of transmission are to described server platform automatically, and described server platform updates and records up-to-date described data.
Air compressor machine based on Internet of Things the most according to claim 1 monitoring method, it is characterised in that: in described F step, 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.
A kind of timely maintaining method of air compressor machine based on satellite fix the most according to claim 1, it is characterised in that: the described data of described air compressor machine include: operational factor, customer parameter, maintenance parameters, Protection parameters or main frame frequency conversion parameter；
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 voltage, fan operation rotating speed, fan operation frequency or frequency converting temperature, user.
10. the system of method is monitored according to the air compressor machine based on Internet of Things described in any one in claim 1-9, it is characterised in that: include air compressor machine, server platform and mobile terminal；Described air compressor machine is connected with described server, is connected between described server platform with described mobile terminal；
Described mobile terminal includes: mobile phone bin and monitoring software；
Described server platform includes Internet of Things module, data base and server bin.
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| CN201610491672.6A CN106014947B (en) | 2016-06-29 | 2016-06-29 | A kind of air compressor machine monitoring method and system based on Internet of Things |
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| 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 |
| 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 |
| CN108916019A (en) * | 2018-06-02 | 2018-11-30 | 杭州裕达自动化科技有限公司 | Remote monitoring system of air compressor |
| CN110873041A (en) * | 2018-08-29 | 2020-03-10 | 阿特拉斯·科普柯空气动力股份有限公司 | Compressor or pump with control function for adjusting working range and working method |
| CN112392708A (en) * | 2020-12-17 | 2021-02-23 | 黄剑 | Compressor management method based on Internet of things |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| 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 |
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| CN110873041A (en) * | 2018-08-29 | 2020-03-10 | 阿特拉斯·科普柯空气动力股份有限公司 | Compressor or pump with control function for adjusting working range and working method |
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| CN112392708A (en) * | 2020-12-17 | 2021-02-23 | 黄剑 | Compressor management method based on Internet of things |
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| Publication number | Publication date |
|---|---|
| CN106014947B (en) | 2018-11-06 |
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