CN107247432B - The remote auto determination method of screw type air compressor cooling system failure - Google Patents
The remote auto determination method of screw type air compressor cooling system failure Download PDFInfo
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- CN107247432B CN107247432B CN201710498202.7A CN201710498202A CN107247432B CN 107247432 B CN107247432 B CN 107247432B CN 201710498202 A CN201710498202 A CN 201710498202A CN 107247432 B CN107247432 B CN 107247432B
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- 238000001816 cooling Methods 0.000 title claims abstract description 70
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000004891 communication Methods 0.000 claims abstract description 37
- 238000012360 testing method Methods 0.000 claims abstract description 9
- 239000003921 oil Substances 0.000 claims description 21
- 238000012545 processing Methods 0.000 claims description 20
- 238000001514 detection method Methods 0.000 claims description 18
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 3
- 239000010729 system oil Substances 0.000 claims description 3
- 230000010259 detection of temperature stimulus Effects 0.000 claims 1
- 235000013399 edible fruits Nutrition 0.000 claims 1
- 239000012530 fluid Substances 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 description 4
- 239000002699 waste material Substances 0.000 description 3
- 230000004888 barrier function Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000005381 potential energy Methods 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
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- Control Of Positive-Displacement Pumps (AREA)
- Applications Or Details Of Rotary Compressors (AREA)
Abstract
The present invention relates to the remote auto determination methods of screw type air compressor cooling system failure, it is characterised in that: 1) selects or be arranged an Internet of Things mould group and be bundled in air compressor machine；2) the both-way communication relationship between Internet of Things mould group and Cloud Server communication is established, it is transferred in Cloud Server and is saved using the compressor operation data that Internet of Things mould group will acquire, the various version communications protocol of the air compressor machine of Cloud Server storage are read using Internet of Things mould group；3) temperature of cooling cooling system is detected using the temperature-sensitive head of Internet of Things mould group, and the cooling system real time temperature signal that will test is transferred in Cloud Server；4) Cloud Server will be after the temperature signal for the cooling cooling system that received, it will test temperature signal according to the air compressor machine communications protocol of selection and rated value compare, judge whether the temperature of the air compressor machine is excessively high, and then judging whether the air compressor machine is faulty, the remote auto for forming screw type air compressor cooling system failure determines.Have the characteristics that workload is small, easy to operate, accuracy is high and saves human resources.
Description
Technical field
The present invention relates to a kind of determination method of screw type air compressor cooling system failure, especially a kind of screw pneumatics
The remote auto determination method of machine cooling system failure.Belong to device controller technical field.
Background technique
Screw-rod air compressor is a kind of device that the mechanical energy of motor is converted into gas pressure potential energy, and compression is empty
The pressure generator of gas.In the course of work of air compressor machine, gas boosting is not only resulted in, and gas temperature can be made sharply
Rise.In order to achieve the effect that gas boosting without heating, while for pre- anti-caking carbon, guarantees that screw-rod air compressor can be long-term
The work of normal table needs to cool down by intercooler.Thus, the quality of cooling system is for entire pneumatics
It is extremely important for machine system.
Currently, usually personal monitoring, substantially scene are surveyed using temperature for screw type air compressor cooling system failure
Amount tool measurement, there are heavy workload, it is inconvenient for operation, easily make mistakes with waste of manpower resource the problems such as.Accordingly, it is desirable to provide
A kind of remote auto determination method of screw type air compressor cooling system failure becomes very necessary, to realize long-range monitoring cooling
Running temperature, automatic Prediction and the judgement cooling system failure of system, avoid high temperature from causing to shut down.
Summary of the invention
The purpose of the present invention is to solve existing scene using temperature measuring tool and measure, and there are heavy workloads, operation
Inconvenient, the problems such as easily making mistakes with waste of manpower resource, provide a kind of screw type air compressor cooling system failure it is long-range from
Dynamic determination method.Have the characteristics that workload is small, easy to operate, accuracy is high and saves human resources.
The purpose of the present invention can be by adopting the following technical solutions to achieve:
The remote auto determination method of screw type air compressor cooling system failure, it is characterised in that:
1) an Internet of Things mould group is selected or is arranged, which communicates for screw-rod air compressor and Cloud Server, by institute
Internet of Things mould group binding is stated in air compressor machine；
2) the both-way communication relationship between Internet of Things mould group and Cloud Server communication is established, will acquire using Internet of Things mould group
Compressor operation data, which are transferred in Cloud Server, to be saved, and the different manufacturers for reading Cloud Server storage using Internet of Things mould group are different
The various version communications protocol of model air compressor machine；
3) temperature of the temperature-sensitive head detection cooling system of Internet of Things mould group, and the cooling system real time temperature that will test are utilized
Signal is transferred in Cloud Server；
4) it after the temperature signal for the cooling system that Cloud Server receives, will test according to the air compressor machine communications protocol of selection
Temperature signal and rated value compare, and judge whether the temperature of the air compressor machine is excessively high, and then judge whether the air compressor machine is faulty, instead
It is fed to client's Web/App terminal, the remote auto for forming screw type air compressor cooling system failure determines.
The purpose of the present invention can also be by adopting the following technical solutions to achieve:
Further, the various version communications protocol, comprising data bit, check bit, stop position, baud rate, function code,
Parameter, parameter register address.
Further, the temperature of the temperature-sensitive head detection cooling system of the Internet of Things mould group, refers to detection air compressor machine cooling system
The oil inlet temperature and temperature at outlet of system.
Further, the temperature signal for the cooling system of air compressor that Cloud Server receives is hexadecimal values, cloud clothes
Hexadecimal values are converted into decimal value by business device, oil inlet temperature and temperature at outlet by way of direct access
Client's Web/App terminal is fed back to decimal value；Meanwhile Cloud Server is to the numerical value of oil inlet temperature and temperature at outlet
Determined automatically by algorithm cooling system of air compressor whether abnormal failure, and abnormal failure state or alert status with text shape
Formula feeds back to client's Web/App terminal.
Further, the Internet of Things mould group includes data-reading unit, data processing unit, data communication units, power supply
Unit and temperature sensor unit, the temperature-sensitive head are built in temperature sensor unit；The voltage output of the power supply unit
End connects the power input of data-reading unit, data processing unit, data communication units and temperature sensor unit；Temperature
The oil inlet temperature of the temperature detection end detection cooling system of sensor unit is connected with temperature at outlet, temperature signal output end
The temperature signal input of data processing unit；One of signal input/output terminal of data processing unit connection communication unit
Input terminal/output end, data communication units are connected with antenna, temperature signal detected is sent to remote data center i.e.
Cloud Server constitutes temperature detection and signal processing structure；The input/output terminal of data-reading unit connects data processing unit
Data input/output terminal two, the data output end of the external air compressor machine of the data input pin of data-reading unit, to read in real time
The parameters of air compressor machine are taken, real-time data collection structure is constituted.
Further, judge whether air compressor machine is faulty using decision algorithm, concrete mode is: in screw-rod air compressor
Cooler front end be equipped with a thermostat valve, function be maintain delivery temperature more than pressure leak source temperature, just booting when, temperature compared with
Low, thermostat valve is not switched on, and cooler does not work, and is cooled down using blower；When compressor operation delivery temperature reaches 65 DEG C, temperature control
Valve is slowly opened, and cooler is started to work；If air compressor machine delivery temperature is T, cooler oil inlet temperature is T1, and cooler is fuel-displaced
Mouthful temperature is T2, when cooler in air compressor runs work, delivery temperature T>90 DEG C, and when T1-T2<5 DEG C, determine cooler therefore
Barrier；When 5 DEG C≤T1-T2 < 10 DEG C, early warning is carried out to cooler and prompts to pay close attention to；When T1-T2 >=10 DEG C, cooler is determined
Belong to normal operating condition.
Further, when T=93 DEG C of delivery temperature, T1=85 DEG C of temperature of cooler oil inlet, cooler temperature at outlet
T2=81 DEG C, T1-T2 < 5 DEG C, determine Cooler Fault, according to decision algorithm, Cloud Server can be " Cooler Fault " word at this time
Section feedback is shown to client Web/App terminal；If T1=85 DEG C, T2=77 DEG C, 10 DEG C of 5 DEG C≤T1-T2 <, determines cooling at this time
Device needs to pay close attention to extremely, and according to decision algorithm, Cloud Server can be whole to client Web/App " cooler abnormity early warning " field feedback
4 display of end；If T1=85 DEG C, T2=71 DEG C, T1-T2 >=10 DEG C, determine that cooler is normal, according to decision algorithm, then at this time
It does not need to feed back any information to client's Web/App terminal.
Further, the cooling system oil inlet temperature and temperature at outlet that temperature sensing unit detects, by data
Communication unit GPRS wireless transmission signal is transmitted to Cloud Server, and Cloud Server carries out data parsing according to the numerical value got,
And parsing result is fed back to client's Web/App terminal.
The present invention have it is following outstanding the utility model has the advantages that
1, the present invention detects the temperature of cooling system using the temperature-sensitive head of Internet of Things mould group, and the cooling system that will test is real
When temperature signal be transferred in Cloud Server；Cloud Server is by after the temperature signal of the cooling system received, according to selection
Air compressor machine communications protocol will test temperature signal and rated value compares, and judge whether the temperature of the air compressor machine is excessively high, and then judge
Whether the air compressor machine faulty, and feedback arrives client Web/App terminal, formed screw type air compressor cooling system failure it is long-range from
It is dynamic to determine；Therefore be able to solve existing scene using temperature measuring tool measurement there are heavy workload, it is inconvenient for operation, easily go on business
The problems such as wrong and waste of manpower resource, has the characteristics that workload is small, easy to operate, accuracy is high and saves human resources and has
Beneficial technical effect.
2, the oil inlet temperature and oil outlet temperature for the cooling system of air compressor that the present invention is detected by temperature sensing unit
Degree, can reflect its working condition in time, can timely feedback to client before there is machine failure, thus it is whole to machine into
Row maintenance；It is able to solve the problem of cooler in the prior art is easy to appear hidden failures in use, cannot be found in time.
3, the present invention solves air compressor machine Internet of Things mould group communications protocol allocation problem, improves the simultaneous of air compressor machine long-distance monitorng device
Capacitive can remotely measure temperature, and remotely judge whether cooler is normal；Predictable trend: oil inlet and temperature at outlet become
Change is linear, non-transient, can monitor the temperature change of cooling system, and is made a prediction；It is measured without hand-held temperature
Tool changes existing screw type air compressor cooling system detection and maintenance work mode.
Detailed description of the invention
Fig. 1 is the long-range monitoring of structures block diagram of screw type air compressor cooling system of the present invention.
Fig. 2 is Internet of Things modular structure schematic diagram of the present invention.
Specific embodiment
To further illustrate the technical scheme of the present invention below with reference to the accompanying drawings and specific embodiments.
Specific embodiment 1:
Referring to Figures 1 and 2, the present embodiment is related to the remote auto determination method of screw type air compressor cooling system failure,
It is characterized by:
1) an Internet of Things mould group 2 is selected or is arranged, which communicates for screw-rod air compressor 1 and Cloud Server 3,
The Internet of Things mould group 2 is bundled in air compressor machine 1；
2) the both-way communication relationship between Internet of Things mould group 2 and the communication of Cloud Server 3 is established, will acquire using Internet of Things mould group 2
To compressor operation data be transferred in Cloud Server 3 and save, utilize Internet of Things mould group 2 to read the difference that Cloud Server 3 stores
The various version communications protocol of producer's different model air compressor machine；
3) temperature of the temperature-sensitive head detection cooling system 1-1 of Internet of Things mould group 2, and the cooling system 1-1 that will test are utilized
Real time temperature signal is transferred in Cloud Server 3；
4) Cloud Server 3 is by after the temperature signal of the cooling system 1-1 received, according to the air compressor machine communications protocol of selection
It will test temperature signal and rated value compare, judge whether the temperature of the air compressor machine is excessively high, and then judge whether the air compressor machine has
Failure, feedback arrive client Web/App terminal 4, and the remote auto for forming screw type air compressor cooling system failure determines.
Further, the various version communications protocol, comprising data bit, check bit, stop position, baud rate, function code,
Parameter, parameter register address.
Further, the temperature of the temperature-sensitive head detection cooling system 1-1 of the Internet of Things mould group 2, refers to that detection air compressor machine is cold
But the oil inlet temperature and temperature at outlet of system.
Further, the temperature signal for the cooling system of air compressor that Cloud Server 3 receives is hexadecimal values, cloud clothes
Hexadecimal values are converted into decimal value by business device 3, oil inlet temperature and oil outlet temperature by way of direct access
Degree feeds back to client's Web/App terminal with decimal value；Meanwhile Cloud Server 3 is to oil inlet temperature and temperature at outlet
Numerical value by algorithm determine automatically cooling system of air compressor whether abnormal failure, and abnormal failure state or alert status with text
Font formula feeds back to client Web/App terminal 4.
Further, the Internet of Things mould group 2 includes data-reading unit 2-1, data processing unit 2-2, data communication list
First 2-3, power supply unit 2-4 and temperature sensor unit 2-5, the temperature-sensitive head are built in temperature sensor unit 2-5；It is described
Power supply unit 2-4 voltage output end connection data-reading unit 2-1, data processing unit 2-2, data communication units 2-3 and
The power input of temperature sensor unit 2-5；The oil inlet of the temperature detection end detection cooling system of temperature sensor unit 2-5
Mouth temperature connects the temperature signal input of data processing unit 2-2 with temperature at outlet, temperature signal output end；Data processing
Input terminal/output end of one of signal input/output terminal of unit 2-2 connection communication unit 2-3, data communication units 2-3 connect
It is connected to antenna, temperature signal detected is sent to remote data center i.e. Cloud Server, constitutes temperature detection and signal
Processing structure；Data-reading unit 2-1 input/output terminal connection data processing unit 2-3 data input/output terminal it
Two, the data output end of the external air compressor machine of the data input pin of data-reading unit 2-1, every ginseng to read air compressor machine in real time
Number constitutes real-time data collection structure.
Further, judge whether air compressor machine is faulty using decision algorithm, concrete mode is: in screw-rod air compressor
Cooler front end be equipped with a thermostat valve, function be maintain delivery temperature more than pressure leak source temperature, just booting when, temperature compared with
Low, thermostat valve is not switched on, and cooler does not work, and is cooled down using blower；When compressor operation delivery temperature reaches 65 DEG C, temperature control
Valve is slowly opened, and cooler is started to work；If air compressor machine delivery temperature is T, cooler oil inlet temperature is T1, and cooler is fuel-displaced
Mouthful temperature is T2, when cooler in air compressor runs work, delivery temperature T>90 DEG C, and when T1-T2<5 DEG C, determine cooler therefore
Barrier；When 5 DEG C≤T1-T2 < 10 DEG C, early warning is carried out to cooler and prompts to pay close attention to；When T1-T2 >=10 DEG C, cooler is determined
Belong to normal operating condition.
Further, when T=93 DEG C of delivery temperature, T1=85 DEG C of temperature of cooler oil inlet, cooler temperature at outlet
T2=81 DEG C, T1-T2 < 5 DEG C, determine Cooler Fault, according to decision algorithm, Cloud Server can be " Cooler Fault " word at this time
Section feedback is shown to client Web/App terminal；If T1=85 DEG C, T2=77 DEG C, 10 DEG C of 5 DEG C≤T1-T2 <, determines cooling at this time
Device needs to pay close attention to extremely, and according to decision algorithm, Cloud Server can be whole to client Web/App " cooler abnormity early warning " field feedback
4 display of end；If T1=85 DEG C, T2=71 DEG C, T1-T2 >=10 DEG C, determine that cooler is normal, according to decision algorithm, then at this time
It does not need to feed back any information to client's Web/App terminal.
Further, the cooling system oil inlet temperature and temperature at outlet that temperature sensing unit 2-5 is detected, by number
It is transmitted to Cloud Server 3 according to communication unit 2-3GPRS wireless transmission signal, Cloud Server 3 is counted according to the numerical value got
Client's Web/App terminal is fed back to according to parsing, and parsing result.
The long-range mechanism for monitoring of the screw type air compressor cooling system that the present embodiment is related to, comprising: air compressor machine 1, cooling system
1-1, Internet of Things mould group 2, Cloud Server 3, Web/App terminal 4.Cooling system 1-1 is the configuration of air compressor machine 1, air compressor machine 1 and Internet of Things
Mould group 2 connects, and Cloud Server 3 is connect with Internet of Things mould group 2, Web/App terminal 4.The air compressor machine 1 is that screw detected is empty
Press includes cooling system 1-1.
In practical application, it is sent in teledata after data processing unit change data form by data communication units
The heart, remote data center converted according to data processing unit after temperature signal and air compressor machine parameters judge that equipment whether can
Occur the risk of failure.
The above, preferable specific embodiment only of the invention, but scope of protection of the present invention is not limited thereto, appoints
What be familiar with this technology personnel the invention discloses in the range of, technical solution and its inventive concept are equally replaced according to the present invention
It changes or changes, belong to protection scope of the present invention.
Claims (8)
1. the remote auto determination method of screw type air compressor cooling system failure, it is characterised in that:
1) an Internet of Things mould group (2) is selected or is arranged, the Internet of Things mould group (2) is logical for screw-rod air compressor (1) and Cloud Server (3)
News, the Internet of Things mould group (2) is bundled in air compressor machine (1)；
2) the both-way communication relationship between Internet of Things mould group (2) and Cloud Server (3) communication is established, will be obtained using Internet of Things mould group (2)
The compressor operation data got are transferred in Cloud Server (3) and save, and read Cloud Server (3) using Internet of Things mould group (2) and deposit
The various version communications protocol of the different manufacturers different model air compressor machine of storage；
3) temperature of temperature-sensitive head detection cooling system (1-1) of Internet of Things mould group (2), and the cooling system (1- that will test are utilized
1) real time temperature signal is transferred in Cloud Server (3)；
It 4), will according to the air compressor machine communications protocol of selection after the temperature signal for the cooling system (1-1) that Cloud Server (3) receives
It detects temperature signal and rated value compares, judge whether the temperature of the air compressor machine is excessively high, and then judge the cooling system of air compressor
Whether faulty, feedback arrives client Web/App terminal (4), and the remote auto for forming screw type air compressor cooling system failure is sentenced
It is fixed.
2. the remote auto determination method of screw type air compressor cooling system failure according to claim 1, feature exist
In: the various version communications protocol include data bit, check bit, stop position, baud rate, function code, parameter, parameter register
Device address.
3. the remote auto determination method of screw type air compressor cooling system failure according to claim 1, feature exist
In the temperature of temperature-sensitive head detection cooling system (1-1) of: the Internet of Things mould group (2), refer to detection cooling system of air compressor into
Hydraulic fluid port temperature and temperature at outlet.
4. the remote auto determination method of screw type air compressor cooling system failure according to claim 1, feature exist
In: the temperature signal for the cooling system of air compressor that Cloud Server (3) receives is hexadecimal values, and Cloud Server (3) is ten
Senary numerical value is converted into decimal value, oil inlet temperature and temperature at outlet with the decimal system by way of direct access
Numeric feedback is to client Web/App terminal (4)；Meanwhile Cloud Server (3) is logical to the numerical value of oil inlet temperature and temperature at outlet
Cross algorithm determine automatically cooling system of air compressor whether abnormal failure, and abnormal failure state or alert status with written form
Feed back to client Web/App terminal (4).
5. the remote auto determination method of screw type air compressor cooling system failure according to claim 1, feature exist
In: the Internet of Things mould group (2) include data-reading unit (2-1), data processing unit (2-2), data communication units (2-3),
Power supply unit (2-4) and temperature sensor unit (2-5), the temperature-sensitive head are built in temperature sensor unit (2-5)；It is described
The voltage output end of power supply unit (2-4) connects data-reading unit (2-1), data processing unit (2-2), data communication units
The power input of (2-3) and temperature sensor unit (2-5)；The temperature detection end detection of temperature sensor unit (2-5) is cold
But the oil inlet temperature of system connects the temperature signal of data processing unit (2-2) with temperature at outlet, temperature signal output end
Input terminal；Input terminal/output of one of signal input/output terminal of data processing unit (2-2) connection communication unit (2-3)
End, data communication units (2-3) are connected with antenna, temperature signal detected is sent to remote data center i.e. cloud service
Device constitutes temperature detection and signal processing structure；The input/output terminal of data-reading unit (2-1) connects data processing unit
The two of the data input/output terminal of (2-3), the data output of the external air compressor machine of data input pin of data-reading unit (2-1)
End, the parameters to read air compressor machine in real time constitute real-time data collection structure.
6. the remote auto determination method of screw type air compressor cooling system failure according to claim 5, feature exist
In: the cooling system oil inlet temperature and temperature at outlet that temperature sensing unit (2-5) detects, by data communication units
(2-3) GPRS wireless transmission signal is transmitted to Cloud Server (3), and Cloud Server (3) carries out data solution according to the numerical value got
Analysis, and parsing result is fed back to client's Web/App terminal.
7. the remote auto determination method of screw type air compressor cooling system failure according to claim 1, feature exist
In: judge whether air compressor machine is faulty using decision algorithm, concrete mode is: being equipped in the cooler front end of screw-rod air compressor
One thermostat valve, function are to maintain delivery temperature more than pressure leak source temperature, and just when booting, temperature is lower, and thermostat valve is not beaten
It opens, cooler does not work, and is cooled down using blower；When compressor operation delivery temperature reaches 65 DEG C, thermostat valve is slowly opened, cold
But device is started to work；If air compressor machine delivery temperature is T, cooler oil inlet temperature is T1, and cooler temperature at outlet is T2, when
Cooler in air compressor operation work, delivery temperature T>90 DEG C, and when T1-T2<5 DEG C, determine Cooler Fault；As 5 DEG C≤T1-T2
< 10 DEG C, early warning is carried out to cooler and prompts to pay close attention to；When T1-T2 >=10 DEG C, determine that cooler belongs to normal operation shape
State.
8. the remote auto determination method of screw type air compressor cooling system failure according to claim 7, feature exist
In: when T=93 DEG C of delivery temperature, T1=85 DEG C of temperature of cooler oil inlet, T2=81 DEG C of cooler temperature at outlet, at this time
T1-T2 < 5 DEG C determine Cooler Fault, and according to decision algorithm, Cloud Server can be " Cooler Fault " field feedback to client
Web/App terminal is shown；If T1=85 DEG C, T2=77 DEG C, 10 DEG C of 5 DEG C≤T1-T2 <, determines that cooler needs to close extremely at this time
Note, according to decision algorithm, Cloud Server can show " cooler abnormity early warning " field feedback to client Web/App terminal 4；Such as
T1=85 DEG C of fruit, T2=71 DEG C, T1-T2 >=10 DEG C, determine that cooler is normal, according to decision algorithm, then do not need to visitor at this time
Family Web/App terminal feeds back any information.
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| CN109882401B (en) * | 2019-04-15 | 2020-10-30 | 湖南中普新能源科技有限公司 | Air compressor self-checking strategy based on Internet of things |
| CN110578705A (en) * | 2019-09-26 | 2019-12-17 | 北京智拓博科技有限公司 | Fault diagnosis method and device |
| CN111026556A (en) * | 2020-03-09 | 2020-04-17 | 蘑菇物联技术（深圳）有限公司 | Method and system for helping RTU (remote terminal Unit) to realize edge calculation through cloud algorithm |
| CN115237081B (en) * | 2022-09-22 | 2022-12-02 | 蘑菇物联技术（深圳）有限公司 | Method, apparatus, and medium for determining post-processing device with exception |
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| JP2002098061A (en) * | 2000-09-26 | 2002-04-05 | Oyodo Diesel Kk | Diagnostic device for electric air compressor or compressed air supply system |
| 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 |
| CN106121981A (en) * | 2016-06-29 | 2016-11-16 | 广东葆德科技有限公司 | A kind of air compressor machine fault remote processing method based on Internet of Things and system |
| CN106014947B (en) * | 2016-06-29 | 2018-11-06 | 广东葆德科技有限公司 | A kind of air compressor machine monitoring method and system based on Internet of Things |
| CN206060825U (en) * | 2016-09-09 | 2017-03-29 | 深圳市智物联网络有限公司 | A kind of device for realizing that multi-joint net mode accesses Internet of Things cloud platform |
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