CN109424533A - 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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- CN109424533A CN109424533A CN201710715613.7A CN201710715613A CN109424533A CN 109424533 A CN109424533 A CN 109424533A CN 201710715613 A CN201710715613 A CN 201710715613A CN 109424533 A CN109424533 A CN 109424533A
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- air compressor
- compressor machine
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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 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 includes the following steps: A, air compressor machine by working condition feedback into server；B, server saves the data that air compressor machine is fed back, and compares with the default security value (s) in server；C, server comparing result then issues fault pre-alarming signal to mobile terminal beyond default security value (s), and server comparing result is not send pre-warning signal then normally.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 technique
Currently, having staff to pinpoint nurse large-scale air compressor machine gas station arrangement, but it is difficult to reach by manually nurse
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
It is very big to produce influence, air compressor machine failure means that production stops；Further, since air compressor machine user asks equipment degree of understanding deficiency etc.
Topic, after often equipment breaks down can not annunciator promptly and accurately the problem of, cause to handle the 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 cannot the effective energy utilization rate to compressor apparatus carry out analysis and in time
The every related data for 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 not need remotely monitor more pneumatics at the scene
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.
Summary of the invention
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 issue failure
Alert information.
To achieve this purpose, the present invention adopts the 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 working condition into server；
B, server saves the data that air compressor machine is fed back, and compares with the default security value (s) in server；
C, server comparing result then issues fault pre-alarming signal to mobile terminal, server comparison knot beyond default security value (s)
Fruit is not send pre-warning signal then normally.
Further, in step A, due to including by multiple air compressor machines, so air compressor machine is in feedback operation state in system
When to server, corresponding state can be fed back under corresponding number, 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 the operating state data and safe handling data timing of air compressor machine feedback carry out pair
Than so that whether the state for being previously obtained air compressor machine is normal.
Further, in step C, the data of air compressor machine working condition and preset safe handling data are timing comparing,
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 number 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 institute
It is offline to state air compressor machine, then enters step F；
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 the air compressor machine whether the method for line are as follows: 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
Link information is regularly sent, the server platform receives the link information, then judges that the air compressor machine is online.
Further, in step E, the method for the data is updated are as follows: 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 of the air compressor machine update, from
Dynamic to send the data to the server platform, the server platform updates and records the newest data.
Preferably, when checking the data of historical record, may be selected to check described in mobile phone reservoir in the F-step
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 revolving speed, host output electric current, host output voltage, frequency conversion
Busbar voltage, motor real output, current pressure, Current Temperatures, fan condition, blower output electric current, blower output electricity
Pressure, fan operation revolving speed, fan operation frequency or frequency converting temperature, user.
Further, the system of the air compressor machine monitoring method using a kind of based on Internet of Things, including air compressor machine, server are 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.
Detailed description of the invention
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 embodiment
To further illustrate the technical scheme of 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 working condition into server；
B, server saves the data that air compressor machine is fed back, and compares with the default security value (s) in server；
C, server comparing result then issues fault pre-alarming signal to mobile terminal, server comparison knot beyond default security value (s)
Fruit is not send pre-warning signal then normally.
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
Networking transport makes user and manufacturer that can be directly acquainted with the working condition of equipment by Internet of Things into server, and
Data comparison is carried out by server, whether the working condition of air compressor machine is monitored in normal condition, user is made
Used time is more with good grounds, can be safeguarded with safe to equipment, 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 compare,
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 recorde the working condition of air compressor machine, after the failure occurred, Huo Zheshe
When standby maintenance, 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 compare,
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, also can be improved work
Make efficiency.
In addition, the data of air compressor machine working condition and preset safe handling data are timing comparing in step C, 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 are reminded by way of sending warning message automatically, caregiver only needs equipment
Fault message informs manufacturer or related technical personnel；Caregiver can also not be used, uses the shifting of binding 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 institute
It is offline to state air compressor machine, then enters step F；
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 the air compressor machine whether the method for line are as follows: the server platform regularly sends company
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, updating the method for the data in step E are as follows: described in the server platform timing judgement
Whether there is or not updates for the data of air compressor machine, if so, then recording the newest data；Alternatively, the data of the air compressor machine update
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, when checking the data of historical record, may be selected to check the number in mobile phone reservoir in the F-step
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 revolving speed, host output electric current, host output voltage, frequency conversion
Busbar voltage, motor real output, current pressure, Current Temperatures, fan condition, blower output electric current, blower output electricity
Pressure, fan operation revolving 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 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 can be made to reach air compressor machine in time is safeguarded；To
It can more accurately be exchanged in terms of plant maintenance with repairing, more efficient processing.
The technical principle of the invention is described above in combination with a specific embodiment.These descriptions are intended merely to explain of the invention
Principle, and shall not be construed in any way as a limitation of the scope of protection of the invention.Based on the explanation herein, the technology of this field
Personnel can associate with other specific embodiments of the invention without creative labor, these modes are fallen within
Within protection scope of the present invention.
Claims (10)
1. a kind of air compressor machine monitoring method based on Internet of Things, characterized by the following steps:
A, air compressor machine feeds back working condition into server；
B, server saves the data that air compressor machine is fed back, and compares with the default security value (s) in server；
C, server comparing result then issues fault pre-alarming signal to mobile terminal, server comparison knot beyond default security value (s)
Fruit is not send pre-warning signal then normally.
2. the air compressor machine monitoring method according to claim 1 based on Internet of Things, it is characterised in that: in step A, due to being
It include by multiple air compressor machines, so corresponding state when feedback operation state is to server, can be fed back and be arrived by air compressor machine in system
Under corresponding number, feedback system is timing feedback.
3. the air compressor machine monitoring method according to claim 1 based on Internet of Things, it is characterised in that: in step B, server
In preset the safe handling data of each component of air compressor machine in advance, the data of air compressor machine feedback are all stored in server, empty
Press feedback operating state data with use safely data timing compare, thus be previously obtained air compressor machine state whether
Normally.
4. the air compressor machine monitoring method according to claim 1 based on Internet of Things, it is characterised in that: in step C, air compressor machine
The data of working condition and preset safe handling data are timing comparing, and most results are without departing from safe handling data
Range；During the comparison process, after the data of air compressor machine working condition have exceeded safe handling data area, server is then
Fault pre-alarming information is sent to the mobile terminal of binding, the information content is faulty equipment number and fault message.
5. the air compressor machine monitoring method according to claim 1 based on Internet of Things, it is characterised in that: further include walking as follows
It is rapid:
D, the server platform judges whether air compressor machine keeps connecting, if the air compressor machine is online, enters step E；If institute
It is offline to state air compressor machine, then enters step F；
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.
6. the air compressor machine monitoring method according to claim 1 based on Internet of Things, it is characterised in that: in step D, judge institute
State air compressor machine whether the method for line are as follows: the server platform regularly sends line and judges information, if the air compressor machine return
Feedback information then judges that the air compressor machine is online；Alternatively, the air compressor machine regularly sends link information, the server platform
The link information is received, then judges that the air compressor machine is online.
7. the air compressor machine monitoring method according to claim 1 based on Internet of Things, it is characterised in that: in step E, update institute
The method for stating data are as follows: server platform timing judges the data of the air compressor machine, and whether there is or not updates, if so, then recording newest
The data；Alternatively, when the data of the air compressor machine update, the data are sent automatically to the server platform,
The server platform updates and records the newest data.
8. the air compressor machine monitoring method according to claim 1 based on Internet of Things, it is characterised in that: in the F-step, look into
When seeing the data of historical record, it may be selected to check the data in mobile phone reservoir, or check in server reservoir
The data.
9. the timely maintaining method of a kind of air compressor machine based on satellite positioning according to claim 1, it is characterised in that: described
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 revolving speed, host output electric current, host output voltage, frequency conversion
Busbar voltage, motor real output, current pressure, Current Temperatures, fan condition, blower output electric current, blower output electricity
Pressure, fan operation revolving speed, fan operation frequency or frequency converting temperature, user.
10. the system of the air compressor machine monitoring method described in any one of -9 based on Internet of Things according to claim 1, feature
It is: including air compressor machine, server platform and mobile terminal；The air compressor machine is connect with the server, and the server is flat
It is connected between 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710715613.7A CN109424533A (en) | 2017-08-20 | 2017-08-20 | A kind of air compressor machine monitoring method and system based on Internet of Things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710715613.7A CN109424533A (en) | 2017-08-20 | 2017-08-20 | A kind of air compressor machine monitoring method and system based on Internet of Things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109424533A true CN109424533A (en) | 2019-03-05 |
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ID=65499085
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710715613.7A Withdrawn CN109424533A (en) | 2017-08-20 | 2017-08-20 | A kind of air compressor machine monitoring method and system based on Internet of Things |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110067739A (en) * | 2019-04-15 | 2019-07-30 | 湖南中普新能源科技有限公司 | Air compressor machine energy efficiency monitoring method based on big data |
-
2017
- 2017-08-20 CN CN201710715613.7A patent/CN109424533A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110067739A (en) * | 2019-04-15 | 2019-07-30 | 湖南中普新能源科技有限公司 | Air compressor machine energy efficiency monitoring method based on big data |
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Application publication date: 20190305 |