CN107247432A - The remote auto decision method of screw type air compressor cooling system failure - Google Patents
The remote auto decision method of screw type air compressor cooling system failure Download PDFInfo
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- CN107247432A CN107247432A CN201710498202.7A CN201710498202A CN107247432A CN 107247432 A CN107247432 A CN 107247432A CN 201710498202 A CN201710498202 A CN 201710498202A CN 107247432 A CN107247432 A CN 107247432A
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- 238000001816 cooling Methods 0.000 title claims abstract description 69
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000004891 communication Methods 0.000 claims abstract description 37
- 238000001514 detection method Methods 0.000 claims abstract description 20
- 238000012546 transfer Methods 0.000 claims abstract description 4
- 238000012545 processing Methods 0.000 claims description 20
- 239000003921 oil Substances 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
- 238000005259 measurement Methods 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012423 maintenance 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
- 238000009529 body temperature measurement Methods 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
- 235000008434 ginseng Nutrition 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
Classifications
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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
-
- 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
Abstract
The present invention relates to the remote auto decision method of screw type air compressor cooling system failure, it is characterised in that：1) select or set an Internet of Things module and be bundled in air compressor machine；2) the both-way communication relation set up between Internet of Things module and Cloud Server communication, the compressor operation data transfer got is preserved into Cloud Server using Internet of Things module, the various version communications protocol of the air compressor machine of Cloud Server storage are read using Internet of Things module；3) temperature of cooling system is cooled down using the temperature-sensitive head detection of Internet of Things module, and the cooling system real time temperature signal detected is transferred in Cloud Server；4) Cloud Server is by after the temperature signal of the cooling cooling system received, detection temperature signal and rated value are contrasted according to the air compressor machine communications protocol of selection, judge whether the temperature of the air compressor machine is too high, and then judging whether the air compressor machine is faulty, the remote auto for forming screw type air compressor cooling system failure judges.With the features such as workload is small, easy to operate, accuracy is high and saves human resources.
Description
Technical field
The present invention relates to a kind of decision method of screw type air compressor cooling system failure, especially a kind of screw pneumatics
The remote auto decision method of machine cooling system failure.Belong to device controller technical field.
Background technology
Screw-rod air compressor is a kind of device that the mechanical energy of motor is converted into gas pressure potential energy, is also that 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 drastically
Rise.In order to reach gas boosting without the effect that heats, while for pre- anti-caking carbon, it is ensured that screw-rod air compressor can be long-term
The work of normal table by intercooler, it is necessary to cool down.Thus, the quality of cooling system is for whole pneumatics
It is extremely important for machine system.
At present, for screw type air compressor cooling system failure, usually personal monitoring, substantially onsite application temperature survey
Amount instrument is measured, and be there are problems that big workload, inconvenient operation, is easily made mistakes and waste of manpower.Accordingly, it is desirable to provide
A kind of remote auto decision method of screw type air compressor cooling system failure becomes very necessary, to realize that long-range monitoring is cooled down
Running temperature, automatic Prediction and the judgement cooling system failure of system, it is to avoid high temperature causes shutdown.
The content of the invention
The purpose of the present invention, is in order to solve the measurement of existing onsite application temperature measuring tool, to there is that workload is big, operation
It is inconvenient, easily make mistakes the problems such as with waste of manpower resource there is provided a kind of screw type air compressor cooling system failure it is long-range from
Dynamic decision method.With the features such as workload is small, easy to operate, accuracy is high and saves human resources.
The purpose of the present invention can be by taking following technical scheme to realize：
The remote auto decision method of screw type air compressor cooling system failure, it is characterised in that：
1) an Internet of Things module is selected or sets, the Internet of Things module is used for screw-rod air compressor and communicated with Cloud Server, by institute
Internet of Things module is stated to be bundled in air compressor machine；
2) the both-way communication relation set up between Internet of Things module and Cloud Server communication, will be got using Internet of Things module
Compressor operation data transfer is preserved into Cloud Server, and the different manufacturers for reading Cloud Server storage using Internet of Things module are different
The various version communications protocol of model air compressor machine；
3) temperature of cooling system is cooled down using the temperature-sensitive head detection of Internet of Things module, and the cooling system detected is real-time
Temperature signal is transferred in Cloud Server；
4) Cloud Server by receive cooling cooling system temperature signal after, according to the air compressor machine communications protocol of selection
Detection temperature signal and rated value are contrasted, judge whether the temperature of the air compressor machine is too high, and then judge whether the air compressor machine has
Failure, feeds back to client's Web/App terminals, and the remote auto for forming screw type air compressor cooling system failure judges.
The purpose of the present invention can also be by taking following technical scheme to realize：
Further, the various version communications protocol, comprising data bit, check bit, stop position, baud rate, function code,
Parameter, parameter register address.
Further, the temperature-sensitive head of the Internet of Things module detects the temperature of cooling system, refers to detect 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 is arrived 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 terminals are fed back to decimal value；Meanwhile, Cloud Server is to oil inlet temperature and the numerical value of temperature at outlet
Judged automatically by algorithm cooling system of air compressor whether abnormal failure, and abnormal failure state or alert status with word shape
Formula feeds back to client's Web/App terminals.
Further, the Internet of Things module 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 subsystem
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 and temperature at outlet, the connection of 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/output end, data communication units are connected with antenna, so that the temperature signal detected is sent into remote data center i.e.
Cloud Server, constitutes temperature detection and signal processing structure；The input/output terminal connection data processing unit of data-reading unit
Data input/output end two, the data output end of the external air compressor machine of 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 provided with a temperature-sensing valve, its function be maintain delivery temperature more than pressure leak source temperature, when just starting shooting, temperature compared with
Low, temperature-sensing valve is not switched on, and cooler does not work, and is cooled using blower fan；When compressor operation delivery temperature reaches 65 DEG C, temperature control
Valve is slowly opened, and cooler is started working；If air compressor machine delivery temperature T, cooler oil inlet temperature T1, cooler oil-out temperature
T2 is spent, when cooler in air compressor operation work, delivery temperature T>90 DEG C, and T1-T2<At 5 DEG C, Cooler Fault is judged；When 5 DEG C
≤T1-T2<10 DEG C, early warning is carried out to cooler and points out to pay close attention to；During T1-T2 >=10 DEG C, judge that cooler belongs to normal
Running status.
Further, when T=93 DEG C of delivery temperature, T1=85 DEG C of cooler oil inlet temperature, cooler temperature at outlet
T2=81 DEG C, now T1-T2<5 DEG C, judge Cooler Fault, according to decision algorithm, Cloud Server can be " Cooler Fault " word
Section feeds back to client's Web/App terminals and shown；If T1=85 DEG C, T2=77 DEG C, now 10 DEG C of 5 DEG C≤T1-T2 ＜, judge cooling
Device needs concern extremely, and according to decision algorithm, Cloud Server can be whole to client Web/App " cooler abnormity early warning " field feedback
End 4 is shown；If T1=85 DEG C, T2=71 DEG C, now T1-T2 >=10 DEG C judge that cooler is normal, according to decision algorithm, then
Any information need not be fed back to client Web/App terminals.
Further, temperature sensing unit is detected cooling system oil inlet temperature and temperature at outlet, by data
Communication unit GPRS wireless transmission signals are sent to Cloud Server, and Cloud Server carries out data parsing according to the numerical value got,
And analysis result is fed back to client's Web/App terminals.
The present invention has beneficial effect prominent as follows：
1st, the present invention detects the temperature of cooling system using the temperature-sensitive head of Internet of Things module, and the cooling system detected 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 contrasts detection temperature signal and rated value, judges whether the temperature of the air compressor machine is too high, and then judges
Whether the air compressor machine faulty, feeds back to client's Web/App terminals, formed screw type air compressor cooling system failure it is long-range from
It is dynamic to judge；There is big workload, inconvenient operation therefore, it is possible to solve existing onsite application temperature measuring tool measurement, easily go on business
The problems such as wrong and waste of manpower resource, with the features such as workload is small, easy to operate, accuracy is high and saves human resources and having
Beneficial technique effect.
2nd, the oil inlet temperature and oil-out temperature for the cooling system of air compressor that the present invention is detected by temperature sensing unit
Degree, its working condition can be reflected in time, client can be fed back in time before there is machine failure, so as to integrally enter to machine
Row maintenance；It can solve the problem that the problem of cooler hidden failures easily occurs, can not be found in time in use in the prior art.
3rd, the present invention solves air compressor machine Internet of Things module communications protocol allocation problem, improves the simultaneous of air compressor machine long-distance monitorng device
Capacitive, can remotely measurement 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；Without hand-held temperature measurement
Instrument, changes existing screw type air compressor cooling system detection and maintenance work pattern.
Brief description of the drawings
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.
Embodiment
Further illustrate technical scheme below in conjunction with the accompanying drawings and by embodiment.
Specific embodiment 1：
Referring to Figures 1 and 2, the present embodiment is related to the remote auto decision method of screw type air compressor cooling system failure,
It is characterized in that：
1) select or an Internet of Things module 2 be set, the Internet of Things module 2 is communicated for screw-rod air compressor 1 with Cloud Server 3,
The Internet of Things module 2 is bundled in air compressor machine 1；
2) the both-way communication relation set up between Internet of Things module 2 and the communication of Cloud Server 3, will be obtained using Internet of Things module 2
To compressor operation data transfer preserved into Cloud Server 3, utilize Internet of Things module 2 read Cloud Server 3 store difference
The various version communications protocol of producer's different model air compressor machine；
3) using Internet of Things module 2 temperature-sensitive head detection cooling system 1-1 temperature, and by the cooling system 1-1 detected
Real time temperature signal is transferred in Cloud Server 3；
4) Cloud Server 3 is by after the cooling system 1-1 received temperature signal, according to the air compressor machine communications protocol of selection
Detection temperature signal and rated value are contrasted, judge whether the temperature of the air compressor machine is too high, and then judge whether the air compressor machine has
Failure, feeds back to client Web/App terminals 4, and the remote auto for forming screw type air compressor cooling system failure judges.
Further, the various version communications protocol, comprising data bit, check bit, stop position, baud rate, function code,
Parameter, parameter register address.
Further, the temperature-sensitive head detection cooling system 1-1 of the Internet of Things module 2 temperature, 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 is received is hexadecimal values, cloud clothes
Hexadecimal values are converted into decimal value by business device 3, oil inlet temperature and oil-out temperature by way of direct access
Degree feeds back to client's Web/App terminals with decimal value；Meanwhile, Cloud Server 3 is to oil inlet temperature and temperature at outlet
Numerical value judged automatically by algorithm 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 terminals 4.
Further, the Internet of Things module 2 includes data-reading unit 2-1, data processing unit 2-2, data communication list
First 2-3, power subsystem 2-4 and temperature sensor unit 2-5, the temperature-sensitive head are built in temperature sensor unit 2-5；It is described
Power subsystem 2-4 voltage output end connection data-reading unit 2-1, data processing unit 2-2, data communication units 2-3 and
Temperature sensor unit 2-5 power input；Temperature sensor unit 2-5 temperature detection end detects the oil-feed of cooling system
Mouth temperature and temperature at outlet, temperature signal output end connection data processing unit 2-2 temperature signal input；Data processing
One of unit 2-2 signal input/output terminal connection communication unit 2-3 input/output end, data communication units 2-3 connects
It is connected to antenna, so that the temperature signal detected is sent into 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 end it
The data output end of two, data-reading unit the 2-1 external air compressor machine of data input pin, 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 provided with a temperature-sensing valve, its function be maintain delivery temperature more than pressure leak source temperature, when just starting shooting, temperature compared with
Low, temperature-sensing valve is not switched on, and cooler does not work, and is cooled using blower fan；When compressor operation delivery temperature reaches 65 DEG C, temperature control
Valve is slowly opened, and cooler is started working；If air compressor machine delivery temperature T, cooler oil inlet temperature T1, cooler oil-out temperature
T2 is spent, when cooler in air compressor operation work, delivery temperature T>90 DEG C, and T1-T2<At 5 DEG C, Cooler Fault is judged；When 5 DEG C
≤T1-T2<10 DEG C, early warning is carried out to cooler and points out to pay close attention to；During T1-T2 >=10 DEG C, judge that cooler belongs to normal
Running status.
Further, when T=93 DEG C of delivery temperature, T1=85 DEG C of cooler oil inlet temperature, cooler temperature at outlet
T2=81 DEG C, now T1-T2<5 DEG C, judge Cooler Fault, according to decision algorithm, Cloud Server can be " Cooler Fault " word
Section feeds back to client's Web/App terminals and shown；If T1=85 DEG C, T2=77 DEG C, now 10 DEG C of 5 DEG C≤T1-T2 ＜, judge cooling
Device needs concern extremely, and according to decision algorithm, Cloud Server can be whole to client Web/App " cooler abnormity early warning " field feedback
End 4 is shown；If T1=85 DEG C, T2=71 DEG C, now T1-T2 >=10 DEG C judge that cooler is normal, according to decision algorithm, then
Any information need not be fed back to client Web/App terminals.
Further, temperature sensing unit 2-5 is detected cooling system oil inlet temperature and temperature at outlet, by number
Cloud Server 3 is sent to according to communication unit 2-3GPRS wireless transmission signals, Cloud Server 3 enters line number according to the numerical value got
Client's Web/App terminals are fed back to according to parsing, and analysis result.
The long-range mechanism for monitoring of screw type air compressor cooling system that the present embodiment is related to, including：Air compressor machine 1, cooling system
1-1, Internet of Things module 2, Cloud Server 3, Web/App terminals 4.Cooling system 1-1 is the configuration of air compressor machine 1, air compressor machine 1 and Internet of Things
Module 2 is connected, and Cloud Server 3 is connected with Internet of Things module 2, Web/App terminals 4.The air compressor machine 1 is empty for the screw detected
Press, includes cooling system 1-1.
In practical application, sent after data processing unit change data form by data communication units into teledata
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.
It is described above, it is only the present invention preferably specific embodiment, but protection scope of the present invention is not limited thereto, and is appointed
What is familiar with this technology personnel the invention discloses in the range of, is equally replaced according to technical solution of the present invention and its inventive concept
Change or change, belong to protection scope of the present invention.
Claims (8)
1. the remote auto decision method of screw type air compressor cooling system failure, it is characterised in that：
1) an Internet of Things module (2) is selected or sets, the Internet of Things module (2) is used for screw-rod air compressor (1) and led to Cloud Server (3)
News, the Internet of Things module (2) is bundled in air compressor machine (1)；
2) the both-way communication relation set up between Internet of Things module (2) and Cloud Server (3) communication, will be obtained using Internet of Things module (2)
The compressor operation data transfer got is preserved into Cloud Server (3), is read Cloud Server (3) using Internet of Things module (2) and is deposited
The various version communications protocol of the different manufacturers different model air compressor machine of storage；
3) using Internet of Things module (2) temperature-sensitive head detection cooling system (1-1) temperature, and by the cooling system (1- detected
1) real time temperature signal is transferred in Cloud Server (3)；
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) is received
Detection temperature signal is contrasted with rated value, judges whether the temperature of the air compressor machine is too high, and then judge the cooling system of air compressor
It is whether faulty, client Web/App terminals (4) are fed back to, the remote auto for forming screw type air compressor cooling system failure is sentenced
It is fixed.
2. the remote auto decision method of screw type air compressor cooling system failure according to claim 1, its feature exists
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 decision method of screw type air compressor cooling system failure according to claim 1, its feature exists
In：The temperature of the temperature-sensitive head detection cooling system (1-1) of the Internet of Things module (2), refers to detect entering for cooling system of air compressor
Hydraulic fluid port temperature and temperature at outlet.
4. the remote auto decision method of screw type air compressor cooling system failure according to claim 1, its feature exists
In：The temperature signal for the cooling system of air compressor that Cloud Server (3) is received 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 terminals (4)；Meanwhile, Cloud Server (3) leads to the numerical value of oil inlet temperature and temperature at outlet
Cross algorithm judge 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 terminals (4).
5. the remote auto decision method of screw type air compressor cooling system failure according to claim 1, its feature exists
In：The Internet of Things module (2) include data-reading unit (2-1), data processing unit (2-2), data communication units (2-3),
Power subsystem (2-4) and temperature sensor unit (2-5), the temperature-sensitive head are built in temperature sensor unit (2-5)；It is described
Voltage output end connection data-reading unit (2-1), data processing unit (2-2), the data communication units of power subsystem (2-4)
(2-3) and temperature sensor unit (2-5) power input；The temperature detection end detection of temperature sensor unit (2-5) is cold
But the oil inlet temperature and temperature at outlet of system, temperature signal output end connection data processing unit (2-2) temperature signal
Input；Input/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, so that the temperature signal detected is sent into remote data center i.e. cloud service
Device, constitutes temperature detection and signal processing structure；The input/output terminal connection data processing unit of data-reading unit (2-1)
The two of the data input/output end 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 decision method of screw type air compressor cooling system failure according to claim 5, its feature exists
In：Cooling system oil inlet temperature and temperature at outlet that temperature sensing unit 2-5 is detected, by data communication units 2-
3GPRS wireless transmission signals are sent to Cloud Server 3, and Cloud Server 3 carries out data parsing according to the numerical value got, and solution
Analysis result feeds back to client's Web/App terminals.
7. the remote auto decision method of screw type air compressor cooling system failure according to claim 1, its feature exists
In：Judge whether air compressor machine is faulty using decision algorithm, concrete mode is：It is provided with the cooler front end of screw-rod air compressor
One temperature-sensing valve, its function is to maintain delivery temperature more than pressure leak source temperature, and when just starting shooting, temperature is relatively low, and temperature-sensing valve is not beaten
Open, cooler does not work, cooled using blower fan；When compressor operation delivery temperature reaches 65 DEG C, temperature-sensing valve is slowly opened, cold
But device is started working；If air compressor machine delivery temperature T, cooler oil inlet temperature T1, cooler temperature at outlet T2 work as air compressor machine
Cooler operation work, delivery temperature T>90 DEG C, and T1-T2<At 5 DEG C, Cooler Fault is judged；As 5 DEG C≤T1-T2<10 DEG C,
Early warning is carried out to cooler and points out to pay close attention to；During T1-T2 >=10 DEG C, judge that cooler belongs to normal operating condition.
8. the remote auto decision method of screw type air compressor cooling system failure according to claim 7, its feature exists
In：When T=93 DEG C of delivery temperature, T1=85 DEG C of cooler oil inlet temperature, T2=81 DEG C of cooler temperature at outlet, now
T1-T2<5 DEG C, judge Cooler Fault, according to decision algorithm, Cloud Server can be " Cooler Fault " field feedback to client
Web/App terminals are shown；If T1=85 DEG C, T2=77 DEG C, now 10 DEG C of 5 DEG C≤T1-T2 ＜, judge that cooler needs to close extremely
Note, according to decision algorithm, Cloud Server can show " cooler abnormity early warning " field feedback to client Web/App terminals 4；Such as
T1=85 DEG C of fruit, T2=71 DEG C, now T1-T2 >=10 DEG C, judge that cooler is normal, then need not be to visitor according to decision algorithm
Family Web/App terminals feed back any information.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109882401A (en) * | 2019-04-15 | 2019-06-14 | 湖南中普新能源科技有限公司 | Air compressor machine self-test 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 |
| CN115237081A (en) * | 2022-09-22 | 2022-10-25 | 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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| CN115237081A (en) * | 2022-09-22 | 2022-10-25 | 蘑菇物联技术（深圳）有限公司 | Method, apparatus, and medium for determining post-processing device with exception |
| 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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