CN110336704A - Equipment fault diagnosis and life prediction system based on Internet of Things wireless sensor technology - Google Patents
Equipment fault diagnosis and life prediction system based on Internet of Things wireless sensor technology Download PDFInfo
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- CN110336704A CN110336704A CN201910634624.1A CN201910634624A CN110336704A CN 110336704 A CN110336704 A CN 110336704A CN 201910634624 A CN201910634624 A CN 201910634624A CN 110336704 A CN110336704 A CN 110336704A
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- equipment
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- prediction system
- life prediction
- wireless sensor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
The invention discloses a kind of equipment fault diagnosis based on Internet of Things wireless sensor technology and life prediction system, comprising: fault pre-alarming module, the communication unit being electrically connected with fault pre-alarming module, the cloud database being wirelessly connected with communication unit and the data platform being wirelessly connected with cloud database；The fault pre-alarming module includes acquisition unit and main control unit；The acquisition unit is used to acquire the running state parameter of equipment, and the main control unit is for controlling acquisition unit and the communication unit；The running state parameter of equipment can be transmitted to cloud database by the communication unit；The data platform can carry out cloud computing and big data processing, analysis to the running state parameter in cloud database；Running simulation is carried out to equipment by each state parameter that data platform analyzes, service life of the equipment under current operating situation is obtained with this.
Description
Technical field
The present invention relates to a kind of equipment fault diagnosis and life prediction system, more particularly to are based on Internet of Things wireless sensing skill
The equipment fault diagnosis and life prediction system of art.
Background technique
Monitoring device is often equipped in industry spot, very crucial instrument, monitoring device is used for the operation of monitoring device
State, the optical viewer that worker can not have to short distance can understand the current working condition of instrument, so just reduce
The probability that worker's close contact instrument is caused danger, and realize above-mentioned effect and be unable to do without a series of biographies placed on instrument
Sensor, such as temperature monitoring sensor, humidity detection sensor or vibrating sensor etc..
Wherein, traditional fault diagnosis cannot carry out real-time state monitoring to mechanical equipment, and in monitoring process cannot
Monitoring data are managed collectively, then unified storage comparison is analyzed, mechanical equipment can not be learnt in worn over time
Afterwards, the difference of the running state parameter of generation, and big data analysis cannot be carried out to operating parameter by data platform, it is then right
Dry run of the equipment under current state parameter, so the life prediction of equipment in the current state of operation can not be analyzed,
Secondly when equipment operating parameter is abnormal, the running state parameter that can not be obtained by present analysis runs shape to equipment
State gives warning in advance, to interfere in advance, realizes the advanced adjustment of running state parameter, not very practical.
Summary of the invention
The present invention overcomes the deficiencies in the prior art, a kind of equipment fault based on Internet of Things wireless sensor technology is provided and is examined
Disconnected and life prediction system.
In order to achieve the above objectives, the technical solution adopted by the present invention are as follows: the equipment event based on Internet of Things wireless sensor technology
Hinder and diagnose and life prediction system, comprising: the communication unit and lead to that fault pre-alarming module and fault pre-alarming module are electrically connected
The data platform believing the cloud database of unit wireless connection and being wirelessly connected with cloud database；The fault pre-alarming mould
Block includes acquisition unit and main control unit；The acquisition unit is used to acquire the running state parameter of equipment, the main control unit
For controlling acquisition unit and the communication unit；The running state parameter of equipment can be transmitted to cloud by the communication unit
Database；The data platform can to the running state parameter in cloud database carry out cloud computing and big data processing,
Analysis；Running simulation is carried out to equipment by each state parameter that data platform analyzes, show that equipment is transported currently with this
Service life in row situation.
In a preferred embodiment of the present invention, the running state parameter includes temperature, vibration, the coefficient of waste, voltage, electricity
Stream or resistance information.
In a preferred embodiment of the present invention, the cloud database can store operating parameter, calculate analysis
Data information.
In a preferred embodiment of the present invention, the fault pre-alarming module further includes alarm unit, when equipment operating parameter
When deviateing predetermined range value, the alarm unit carries out warning alert.
In a preferred embodiment of the present invention, the data platform includes processor, and the processor can be to each fortune
Row state parameter is handled.
In a preferred embodiment of the present invention, the acquisition unit can be temperature sensor, vibrating sensor, voltage biography
One or more of sensor or current sensor.
In a preferred embodiment of the present invention, installation is fixed by fixation kit in the acquisition unit.
In a preferred embodiment of the present invention, the fixation kit includes viscose plate and extension component.
In a preferred embodiment of the present invention, it is provided with mounting groove at the top of the viscose plate, along the week of the mounting groove
To at least one mounting hole is provided with, one end of the extension component is adapted with the mounting hole.
In a preferred embodiment of the present invention, the extension component is temperature sensing part, and the temperature sensing part includes thermal insulation layer
With temperature-sensitive layer, the temperature-sensitive layer is set to the inside of the thermal insulation layer.
The invention solves the defect existing in the background technology, the present invention have it is following the utility model has the advantages that
(1) comprehensive monitoring is carried out to mechanical equipment temperature, voltage, electric current, vibration etc. by sensor, it then will prison
The parameter information of survey is transmitted to cloud database and is handled, and monitoring accuracy is higher.
(2) monitoring data can be managed collectively by cloud database, then unified storage, comparison are analyzed, learn machine
Tool equipment is after worn over time, the difference of the running state parameter of generation, improves the safety of mechanical equipment operation.
(3) dry run is carried out to equipment by each state parameter that data platform analyzes, show that equipment exists with this
Service life under current operating situation can carry out life prediction to equipment by the method for running simulation, then can adjust
Whole operating parameter improves the service life of equipment, improves the safety of equipment.
(4) temperature-sensitive layer and thermal insulation layer are equipped in extension component, temperature-sensitive layer for the temperature information on receiving device, and every
Thermosphere bottom is equipped with viscose glue, can glue and equipment surface.
(5) each running state parameter that equipment is acquired by acquisition unit, then carries out Parameter analysis, obtains equipment
Running state information, when the running state parameter of equipment deviates or will deviate from predetermined value according to the parameter of data platform analysis
When, the operating parameter of equipment is regulated and controled in advance, can prevent equipment operation from breaking down, improve the operational safety of equipment.
(6) extension component is flexible material, so being suitable for simultaneously for cylindrical component, extension component can be surround
With cylindrical part of appliance surface, the front and rear even wider array of equipment portion of part of appliance can be thus measured simultaneously
Temperature information on part, so set, the temperature measured can be more accurate, flexible material can be according to the difference of the shape of equipment
And carry out different bendings and then stick at the designated position of part of appliance, practicability is wider.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples；
Fig. 1 is the system block diagram of the preferred embodiment of the present invention；
Fig. 2 is the fixation kit partial structural diagram of the preferred embodiment of the present invention；
In figure: 1, acquisition unit；2, extension component；3, mounting groove；4, viscose board.
Specific embodiment
Presently in connection with drawings and examples, the present invention is described in further detail, these attached drawings are simplified signal
Figure, the basic structure of the invention will be illustrated schematically only, therefore it only shows the composition relevant to the invention.
As shown in Figs. 1-2, equipment fault diagnosis and life prediction system based on Internet of Things wireless sensor technology, comprising:
The cloud database of communication unit and communication unit wireless connection that fault pre-alarming module and fault pre-alarming module are electrically connected,
And the data platform being wirelessly connected with cloud database；
Specifically, fault pre-alarming module includes acquisition unit and main control unit；Acquisition unit is used to acquire the fortune of equipment
Row state parameter, main control unit is for controlling acquisition unit and communication unit；Communication unit can join the operating status of equipment
Number is transmitted to cloud database；Data platform can carry out cloud computing and big number to the running state parameter in cloud database
According to processing, analysis；Running simulation is carried out to equipment by each state parameter that data platform analyzes, show that equipment exists with this
Service life under current operating situation.
Running state parameter includes temperature, vibration, the coefficient of waste, voltage, electric current or resistance information, and cloud database can
Operating parameter is stored, calculates analysis data information, fault pre-alarming module further includes alarm unit, when equipment operating parameter
When deviateing predetermined range value, alarm unit carries out warning alert, and data platform includes processor, and processor can be to each operation
State parameter is handled.
Acquisition unit can be one of temperature sensor, vibrating sensor, voltage sensor or current sensor or
It is two or more, each running state parameter of equipment is acquired by acquisition unit, is then carried out Parameter analysis, is obtained the fortune of equipment
Row status information, when the running state parameter of equipment deviates or will deviate from predetermined value according to the parameter of data platform analysis,
The operating parameter of equipment is regulated and controled in advance, can prevent equipment operation from breaking down, improve the operational safety of equipment.
Information exchange between the equipment status parameter and cloud database and data platform of acquisition unit acquisition is logical
Internet of Things is crossed to carry out data transmission.
Comprehensive monitoring is carried out to mechanical equipment temperature, voltage, electric current, vibration etc. by sensor, it then will monitoring
Parameter information cloud database be transmitted to by acquisition unit handled, monitoring accuracy is higher, and cloud database can will
Monitoring data unified management, unified storage, comparison, is then analyzed, and learns that mechanical equipment after worn over time, generates
Running state parameter difference, improve mechanical equipment operation safety.
Dry run is carried out to equipment by each state parameter that data platform analyzes, obtains equipment current with this
Service life under operating condition can carry out life prediction to equipment by the method for running simulation, then can adjust fortune
Row parameter improves the service life of equipment, improves the safety of equipment.
Installation is fixed by fixation kit in acquisition unit, and fixation kit includes viscose plate and extension component, extension
Temperature-sensitive layer and thermal insulation layer are equipped in part, temperature-sensitive layer is for the temperature information on receiving device, and thermal insulation layer bottom is equipped with viscose glue,
It can glue and equipment surface, be provided with mounting groove at the top of viscose plate, the circumferential direction of mounting groove is provided at least one mounting hole,
One end of extension component is adapted with mounting hole, and extension component is temperature sensing part, and temperature sensing part includes thermal insulation layer and temperature-sensitive layer, sense
Warm layer is set to the inside of thermal insulation layer.
Viscose board bottom is equipped with viscose glue portion, and the top of viscose board is equipped with mounting groove, is circumferentially with more than one along mounting groove
A mounting hole；The bottom of sensor is equipped with mounting blocks, and mounting blocks are matched with mounting groove；One end of extension component and mounting hole phase
Cooperation, the setting of viscose board primarily directed to the more difficult place encountered of staff on part of appliance, and sensor installation with
On viscose board, and then sensor can be indirectly placed on mechanical equipment.
Mounting hole is connected to extraneous and mounting groove.So set, extension component can more securely be fixed on viscose board
On, and one end of extension component is connected with sensor, and the temperature measured is more accurate.
Specifically, mounting groove be it is rectangular, the quantity of mounting hole is 4, and is respectively symmetrically uniformly set along four sides of mounting groove
It sets.Centered on mounting groove, mounting hole is uniformly set in mounting groove, in this way, the extension component installed in mounting hole can extend
To all directions.
Extension component is flexible material, so be suitable for simultaneously for cylindrical component, extension component can around with
Cylindrical part of appliance surface can thus measure the front and rear even wider array of part of appliance of part of appliance simultaneously
On temperature information, so set, the temperature measured can be more accurate, flexible material can according to the difference of the shape of equipment and
It carries out different bendings and then sticks at the designated position of part of appliance, practicability is wider.
The bottom of thermal insulation layer is equipped with viscose glue, and viscose glue is set to the bottom of entire extension component；The material of extension component is flexibility
Material.Viscose glue is set to the bottom of entire extension component, can increase being bonded for extension component and mechanical equipment, and extension component sheet
Body is compliant member again, can according to need and carries out bending bonding, adapts to different component features.
Based on the above description of the preferred embodiments of the present invention, through the above description, related personnel completely can be with
Without departing from the scope of the technological thought of the present invention', various changes and amendments are carried out.The technical scope of this invention
It is not limited to the contents of the specification, it is necessary to determine the technical scope according to the scope of the claims.
Claims (10)
1. equipment fault diagnosis based on Internet of Things wireless sensor technology and life prediction system, comprising: fault pre-alarming module, with
Fault pre-alarming module be electrically connected communication unit, with communication unit be wirelessly connected cloud database and with cloud data
The data platform that library is wirelessly connected；It is characterized in that,
The fault pre-alarming module includes acquisition unit and main control unit；The acquisition unit is used to acquire the operating status of equipment
Parameter, the main control unit is for controlling acquisition unit and the communication unit；
The running state parameter of equipment can be transmitted to cloud database by the communication unit；The data platform can be to cloud
Running state parameter in client database carries out cloud computing and big data processing, analysis；
Running simulation is carried out to equipment by each state parameter that data platform analyzes, show that equipment is run currently with this
In the case of service life.
2. the equipment fault diagnosis according to claim 1 based on Internet of Things wireless sensor technology and life prediction system,
It is characterized by: the running state parameter includes temperature, vibration, the coefficient of waste, voltage, electric current or resistance information.
3. the equipment fault diagnosis according to claim 1 based on Internet of Things wireless sensor technology and life prediction system,
It is characterized by: the cloud database can store operating parameter, calculate analysis data information.
4. the equipment fault diagnosis according to claim 1 based on Internet of Things wireless sensor technology and life prediction system,
It is characterized by: the fault pre-alarming module further includes alarm unit, it is described when equipment operating parameter deviates predetermined range value
Alarm unit carries out warning alert.
5. the equipment fault diagnosis according to claim 1 based on Internet of Things wireless sensor technology and life prediction system,
It is characterized by: the data platform includes processor, the processor can be handled each running state parameter.
6. the equipment fault diagnosis according to claim 1 based on Internet of Things wireless sensor technology and life prediction system,
It is characterized by: the acquisition unit can be in temperature sensor, vibrating sensor, voltage sensor or current sensor
It is one or more kinds of.
7. the equipment fault diagnosis according to claim 1 based on Internet of Things wireless sensor technology and life prediction system,
It is characterized by: installation is fixed by fixation kit in the acquisition unit.
8. the equipment fault diagnosis according to claim 7 based on Internet of Things wireless sensor technology and life prediction system,
It is characterized by: the fixation kit includes viscose plate and extension component.
9. the equipment fault diagnosis according to claim 8 based on Internet of Things wireless sensor technology and life prediction system,
It is characterized by: being provided with mounting groove at the top of the viscose plate, the circumferential direction of the mounting groove is provided at least one installation
Hole, one end of the extension component are adapted with the mounting hole.
10. the equipment fault diagnosis according to claim 8 based on Internet of Things wireless sensor technology and life prediction system,
It is characterized by: the extension component is temperature sensing part, the temperature sensing part includes thermal insulation layer and temperature-sensitive layer, and the temperature-sensitive layer is set
It is placed in the inside of the thermal insulation layer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910634624.1A CN110336704A (en) | 2019-07-15 | 2019-07-15 | Equipment fault diagnosis and life prediction system based on Internet of Things wireless sensor technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910634624.1A CN110336704A (en) | 2019-07-15 | 2019-07-15 | Equipment fault diagnosis and life prediction system based on Internet of Things wireless sensor technology |
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| CN110336704A true CN110336704A (en) | 2019-10-15 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201910634624.1A Withdrawn CN110336704A (en) | 2019-07-15 | 2019-07-15 | Equipment fault diagnosis and life prediction system based on Internet of Things wireless sensor technology |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111474438A (en) * | 2020-05-11 | 2020-07-31 | 苏州信义大时代网络科技有限公司 | Reliability failure analysis and detection method for electronic product |
| CN112073475A (en) * | 2020-08-21 | 2020-12-11 | 顾洋 | Real-time mold operation monitoring system based on Internet of things and working method thereof |
| CN113609187A (en) * | 2021-07-23 | 2021-11-05 | 四川虹美智能科技有限公司 | Fault diagnosis method and system based on big data |
| CN114095519A (en) * | 2020-07-19 | 2022-02-25 | 智强通达科技（北京）有限公司 | Oil depot Internet of things equipment state monitoring and automatic switching method |
-
2019
- 2019-07-15 CN CN201910634624.1A patent/CN110336704A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111474438A (en) * | 2020-05-11 | 2020-07-31 | 苏州信义大时代网络科技有限公司 | Reliability failure analysis and detection method for electronic product |
| CN114095519A (en) * | 2020-07-19 | 2022-02-25 | 智强通达科技（北京）有限公司 | Oil depot Internet of things equipment state monitoring and automatic switching method |
| CN114095519B (en) * | 2020-07-19 | 2023-10-24 | 智强通达科技（北京）有限公司 | Oil depot Internet of things equipment state monitoring and automatic switching method |
| CN112073475A (en) * | 2020-08-21 | 2020-12-11 | 顾洋 | Real-time mold operation monitoring system based on Internet of things and working method thereof |
| CN113609187A (en) * | 2021-07-23 | 2021-11-05 | 四川虹美智能科技有限公司 | Fault diagnosis method and system based on big data |
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Application publication date: 20191015 |
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| WW01 | Invention patent application withdrawn after publication |