CN208847455U - Equipment fault monitoring device and system based on sensing data - Google Patents
Equipment fault monitoring device and system based on sensing data Download PDFInfo
- Publication number
- CN208847455U CN208847455U CN201821089044.6U CN201821089044U CN208847455U CN 208847455 U CN208847455 U CN 208847455U CN 201821089044 U CN201821089044 U CN 201821089044U CN 208847455 U CN208847455 U CN 208847455U
- Authority
- CN
- China
- Prior art keywords
- data
- equipment
- monitoring
- monitored
- sensor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Abstract
The utility model discloses equipment fault monitoring device and system based on sensing data, and the monitoring object of data sampling sensor and monitored equipment is established connection, calls the monitoring elements data of the monitoring object of data collecting module collected monitored equipment；The monitoring elements data of acquisition are uploaded into cloud terminal, calls data cache module to carry out caching to monitoring elements data and forms monitoring elements data-message queue, and monitoring elements data-message queue is managed；Data analysis module is called to verify, cleaned and load the monitoring elements data-message queue of acquisition, the characteristic sequence when real-time monitoring element data message queue that will acquire breaks down with monitored equipment is compared；Call result output module exports the monitoring result of monitoring object, when monitored equipment, which is determined, to break down, carries out fault alarm to monitored equipment by combined aural and visual alarm.The utility model can reliable, low rate of false alarm, inexpensive solution equipment fault monitoring problem.
Description
Technical field
The utility model relates to equipment fault monitoring technical fields, and in particular to a kind of equipment fault based on sensing data
Monitoring device and system.
Background technique
Equipment fault refers to that equipment loses or reduce the event or phenomenon of its predetermined function, and it is different to show as equipment production run
Often, certain parts of equipment lose original precision or performance, are not normally functioning equipment, technical performance reduction, cause to set
It is standby to interrupt production or efficiency reduction and influence production.The structure of sophisticated equipment becomes increasingly complex, and function is more and more perfect, automatically
Change degree is higher and higher.But when equipment breaks down, brought influence degree is also significantly increased, and is sometimes not only to make
At huge economic loss, toward contact can bringing on a disaster property accident.Develop mechanical equipment state monitoring and fault diagnosis technology,
And the implementation of progress effectively and reasonably, the state change rule and development trend of equipment can be grasped, prevents accident in possible trouble, it will
Accident is eliminated in rudiment.When device fails, some physical parameters can change, and signal processing technology is to carry out failure to examine
Disconnected basis is that the essential tool of feature extraction plays in practice using FFT as the signal analysis technology of core
Important role, modern signal processing technology developed in recent years temporarily expose the brilliance in terms of fault signature extraction.
Utility model content
The purpose of this utility model is to provide equipment fault monitoring devices and system based on sensing data, based on big number
It, can reliable, low rate of false alarm, inexpensive solution equipment fault monitoring problem according to analytical technology.
To achieve the above object, the technical solution of the utility model are as follows: the equipment fault monitoring device based on sensing data,
The fault monitoring device include monitored equipment, data sampling sensor, cloud terminal, monitoring server, combined aural and visual alarm and
Equipment control switch；The monitored equipment is equipped with monitoring object, and the monitoring object and data sampling sensor establish connection
Relationship, data sampling sensor are used to obtain the monitoring elements data of the monitoring object of monitored equipment；The data acquisition passes
Sensor establishes a connection with the cloud terminal, and cloud terminal is used to collect the monitoring elements data of storing data acquisition sensor；
The monitoring server establishes a connection with the cloud terminal, and monitoring server is for being managed cloud terminal；The sound
Light crossing-signal establishes a connection with the data sampling sensor, and combined aural and visual alarm is used to carry out failure report to monitored equipment
It is alert；The equipment control switch establishes a connection with the monitored equipment, and equipment control switch is sent out for monitored equipment
The working condition of equipment is adjusted when raw failure；The mode to establish a connection is optical fiber or other Wiring ports.
Equipment fault monitoring device based on sensing data as described above, the monitoring object of the monitored equipment are skin
Band, the data sampling sensor use velocity sensor, and the velocity sensor is used to obtain the running speed of belt.
The monitoring object of equipment fault monitoring device based on sensing data as described above, the monitored equipment 1 is
The rotary motion equipment of electric machinery or the reciprocating motion equipment of piston pump class；The data sampling sensor uses vibrating sensing
Device, the vibrating sensor are arranged in the monitoring object of monitored equipment, and the vibrating sensor is for obtaining monitoring object
Vibration parameters.
Equipment fault monitoring device based on sensing data as described above is stored with monitored equipment in the cloud terminal
Fault identification algorithm.
In addition the utility model provides a kind of equipment fault monitoring system based on sensing data, the fault monitoring system
Including data acquisition module, data memory module, data cache module, data analysis module and result output module；The number
It is configured with data sampling sensor according to acquisition module, data acquisition module is used to acquire the monitoring of the monitoring object of monitored equipment
Element data；The data memory module is used to store the monitoring elements data of the monitoring object of monitored equipment；Institute
The monitoring elements data that data cache module is stated for the monitoring object to monitored equipment cache；The data analyze mould
Block is used to that the monitoring elements data of the monitoring object of monitored equipment to be verified, cleaned and be loaded；The result exports mould
Block is used to export the monitoring result of the monitoring object of monitored equipment.
The equipment fault based on sensing data monitors system as described above, and the monitoring object of the monitored equipment is skin
Band, the data sampling sensor use velocity sensor, and the velocity sensor is used to obtain the running speed of belt.
The equipment fault based on sensing data monitors system as described above, and the monitoring object of the monitored equipment is electricity
The rotary motion equipment of machine class or the reciprocating motion equipment of piston pump class；The data sampling sensor uses vibrating sensor,
The vibrating sensor is arranged in the monitoring object of monitored equipment, and the vibrating sensor is used to obtain the vibration of monitoring object
Dynamic parameter.
The utility model also provides a kind of equipment fault monitoring method based on sensing data, the fault monitoring method packet
Include following steps:
The monitoring object of data sampling sensor and monitored equipment is established into connection, calls data collecting module collected quilt
The monitoring elements data of the monitoring object of monitoring device；
The monitoring elements data of acquisition are transferred to cloud terminal, data cache module is called to delay monitoring elements data
It deposits to form monitoring elements data-message queue, and be managed monitoring elements data-message queue；
It calls data analysis module to verify, cleaned and load the monitoring elements data-message queue of acquisition, will obtain
Characteristic sequence when the real-time monitoring element data message queue taken breaks down with monitored equipment is compared；
Call result output module exports the monitoring result of monitoring object, when monitored equipment, which is determined, to break down,
Fault alarm is carried out to monitored equipment by combined aural and visual alarm.
Equipment fault monitoring method based on sensing data as described above, the monitoring elements data be speed, vibration,
Temperature, humidity, electric current or concentration.
Equipment fault monitoring method based on sensing data as described above, the frequency division when data analysis module is configured with
Cloth, wavelet analysis, higher order statistic analysis, cyclo-stationary signal processing or nonlinear analysis algorithm.
The utility model, which has the advantages that, guarantees the safe and reliable and efficient of equipment, economical operation, timely, correct,
Diagnosis, prevention effectively are made to the various exceptions or malfunction of equipment or eliminate failure；Operation and maintenance to equipment simultaneously
Carry out necessary guidance, it is ensured that reliability, safety and validity；Be conducive to formulate reasonable Monitoring and maintenance system, guarantee to set
Preparation waves design maximum ability, while abundant digging equipment potential under conditions of permission, extends its service phase and service life,
Reduce equipment Life Cycle Cost；It is apparatus modifications structure, optimization design, rationally by detection, analysis, Performance Evaluation etc.
Manufacture and production process provide data and information.
Detailed description of the invention
Fig. 1 is the equipment fault monitoring device schematic diagram based on sensing data；
Fig. 2 is that the equipment fault based on sensing data monitors system schematic；
Fig. 3 is the equipment fault monitoring method schematic diagram based on sensing data；
Fig. 4 is using the Data Analysis Services schematic diagram in the belt failure monitoring process of technical solutions of the utility model；
Fig. 5 is the vibrating data analysis schematic diagram using technical solutions of the utility model；
Fig. 6 is the signal processing flow figure of the prior art.
Specific embodiment
The following examples illustrate the utility model, but is not intended to limit the scope of the present invention.
Referring to Fig. 1, the equipment fault monitoring device based on sensing data, the fault monitoring device includes monitored equipment
1, data sampling sensor 2, cloud terminal 3, monitoring server 4, combined aural and visual alarm 5 and equipment control switch 6；Described be monitored sets
Standby 1 is equipped with monitoring object, and the monitoring object establishes a connection with data sampling sensor 2, and data sampling sensor 2 is used for
Obtain the monitoring elements data of the monitoring object of monitored equipment 1；The data sampling sensor 2 is established with the cloud terminal 3
Connection relationship, cloud terminal 3 are used to collect the monitoring elements data of storing data acquisition sensor 2；The monitoring server 4 and institute
It states cloud terminal 3 to establish a connection, monitoring server 4 is for being managed cloud terminal 3；The combined aural and visual alarm 5 with it is described
Data sampling sensor 2 establishes a connection, and combined aural and visual alarm 5 is used to carry out fault alarm to monitored equipment 1；The equipment
Control switch 6 establishes a connection with the monitored equipment 1, when equipment control switch 6 breaks down for monitored equipment 1
Adjust the working condition of equipment；The mode to establish a connection is optical fiber and Wiring port.
In one embodiment of equipment fault monitoring device based on sensing data, the monitoring pair of the monitored equipment 1
As for belt, the data sampling sensor 2 uses velocity sensor, the velocity sensor is used to obtain the operating speed of belt
Degree.
In one embodiment of equipment fault monitoring device based on sensing data, the monitoring pair of the monitored equipment 1
As the reciprocating motion equipment of rotary motion equipment or piston pump class for electric machinery；The data sampling sensor 2 is using vibration
Sensor, the vibrating sensor are arranged in the monitoring object of monitored equipment 1, and the vibrating sensor is for obtaining monitoring
The vibration parameters of object.
In one embodiment of equipment fault monitoring device based on sensing data, it is stored with and is supervised in the cloud terminal 3
The normal monitoring elements data of the monitoring object of measurement equipment 1.
Referring to fig. 2, in addition the utility model provides a kind of equipment fault monitoring system based on sensing data, the failure
Monitoring system includes that data acquisition module 7, data memory module 8, data cache module 9, data analysis module 10 and result are defeated
Module 11 out；The data acquisition module 7 is configured with data sampling sensor 2, and data acquisition module 7 is for acquiring monitored set
The monitoring elements data of standby 1 monitoring object；The data memory module 8 is used for the prison to the monitoring object of monitored equipment 1
Element data is surveyed to be stored；The data cache module 9 is used for the monitoring elements data to the monitoring object of monitored equipment 1
It is cached；The data analysis module 10 is used to verify the monitoring elements data of the monitoring object of monitored equipment 1,
Cleaning and load；The result output module 11 is used to export the monitoring result of the monitoring object of monitored equipment 1.
In one embodiment of equipment fault monitoring system based on sensing data, the monitoring pair of the monitored equipment 1
As for belt, the data sampling sensor 2 uses velocity sensor, the velocity sensor is used to obtain the operating speed of belt
Degree.
In one embodiment of equipment fault monitoring system based on sensing data, the monitoring pair of the monitored equipment 1
As the reciprocating motion equipment of rotary motion equipment or piston pump class for electric machinery；The data sampling sensor 2 is using vibration
Sensor, the vibrating sensor are arranged in the monitoring object of monitored equipment 1, and the vibrating sensor is for obtaining monitoring
The vibration parameters of object.
Referring to Fig. 3 and Fig. 6, the utility model also provides a kind of equipment fault monitoring method based on sensing data, described
Fault monitoring method the following steps are included:
S1: the monitoring object of data sampling sensor 2 and monitored equipment 1 is established into connection, calls data acquisition module 7
Acquire the monitoring elements data of the monitoring object of monitored equipment 1；
S2: the monitoring elements data of acquisition are transferred to cloud terminal 3, call data cache module 9 to monitoring elements data
It carries out caching and forms monitoring elements data-message queue, and monitoring elements data-message queue is managed；
S3: calling the monitoring elements data-message queue of 10 pairs of data analysis module acquisitions to be verified, cleaned and loaded,
Characteristic sequence when the real-time monitoring element data message queue that will acquire breaks down with monitored equipment 1 is compared；
S4: call result output module 11 exports the monitoring result of monitoring object, when monitored equipment 1 is determined generation event
When barrier, fault alarm is carried out to monitored equipment 1 by combined aural and visual alarm 5.
In one embodiment of equipment fault monitoring method based on sensing data, the monitoring elements data be speed,
Vibration, temperature, humidity, electric current or concentration.
In one embodiment of equipment fault monitoring method based on sensing data, the data analysis module 10 is configured with
Time-frequency distributions, wavelet analysis, higher order statistic analysis, cyclo-stationary signal processing or nonlinear analysis algorithm.
Referring to fig. 4, by taking the malfunction monitoring to belt as an example, the reparation of belt longitudinal tear is complicated, construction holding time is long,
Equipment is caused to be shut down for a long time, and rehabilitation expense is high.Sling type used at present returns the detection schemes such as coal formula detection sensor
Have that rate of false alarm is high or equal obvious deficiency at high cost, these deficiencies make the availability of sensor at the scene have a greatly reduced quality.It adopts
With the technical solution of the utility model, belt speed is typical stream data, and the analysis treatment process feature of stream data is just
It is that each frame data newly received can all trigger the traversal to historical data, the new algorithm model for stream data is selected to protect
Demonstrate,prove being applicable in, efficiently for data handling procedure.It is indicated normally compared with the technical solution of failure two states with previous intelligence,
Vertical tear becomes from normally to improper Long-term change trend amount, such change make strip control system to it is vertical tear judgement have it is more flexible
Reply may.In belt operational process, continuous high frequency acquires belt speed, vertical to tear generation when there is characteristic sequence
Trend is increased from 10% or so, vertical to tear possibility and continue to increase if characteristic sequence sustainable development, when super setting value, than
When such as 40%, into alarm, characteristic sequence continues to develop, then indulges the trend of tearing and continue to increase, develop again, can directly send out
Send stopping signal.
Referring to Fig. 5, machine state information abundant is contained in the mechanical oscillation signal of monitored equipment 1, vibration is machine
The good carrier of tool equipment fault characteristic information is obtained the operating status of mechanical equipment using vibration signal and carries out failure and examined
It is disconnected easily to obtain vibration signal using vibrating sensor and analysis instrument with convenience, in linear, non-destructive,
Vibration monitoring can carry out in non-stop-machine situation at the scene, during vibration monitoring, will not cause to damage to measurand.
Although above having made detailed description to the utility model with generality explanation and specific embodiment,
On the basis of the utility model, it can be made some modifications or improvements, this is apparent to those skilled in the art
's.Therefore, these modifications or improvements on the basis of without departing from the spirit of the present invention, belong to the utility model and want
Seek the range of protection.
Claims (7)
1. the equipment fault monitoring device based on sensing data, it is characterised in that: the fault monitoring device includes monitored sets
Standby (1), data sampling sensor (2), cloud terminal (3), monitoring server (4), combined aural and visual alarm (5) and equipment control switch
(6)；The monitored equipment (1) is equipped with monitoring object, and connection pass is established in the monitoring object and data sampling sensor (2)
System, data sampling sensor (2) are used to obtain the monitoring elements data of the monitoring object of monitored equipment (1)；The data are adopted
Collection sensor (2) establishes a connection with the cloud terminal (3), and cloud terminal (3) is for collecting storing data acquisition sensor (2)
Monitoring elements data；The monitoring server (4) establishes a connection with the cloud terminal (3), and monitoring server (4) is used for
Cloud terminal (3) is managed；The combined aural and visual alarm (5) establishes a connection with the data sampling sensor (2), acousto-optic
Alarm (5) is used to carry out fault alarm to monitored equipment (1)；The equipment control switch (6) and the monitored equipment
(1) it establishes a connection, the working condition of equipment is adjusted when equipment control switch (6) breaks down for monitored equipment (1).
2. the equipment fault monitoring device according to claim 1 based on sensing data, it is characterised in that: described monitored
The monitoring object of equipment (1) is belt, and the data sampling sensor (2) uses velocity sensor, and the velocity sensor is used
In the running speed for obtaining belt.
3. the equipment fault monitoring device according to claim 1 based on sensing data, it is characterised in that: described monitored
The monitoring object of equipment (1) is the rotary motion equipment of electric machinery or the reciprocating motion equipment of piston pump class；The data acquisition
Sensor (2) uses vibrating sensor, and the vibrating sensor is arranged in the monitoring object of monitored equipment (1), the vibration
Dynamic sensor is used to obtain the vibration parameters of monitoring object.
4. the equipment fault monitoring device according to claim 1 based on sensing data, it is characterised in that: the cloud terminal
(3) the fault identification algorithm of monitored equipment (1) is stored on.
5. the equipment fault based on sensing data monitors system, it is characterised in that: the fault monitoring system includes data acquisition
Module (7), data memory module (8), data cache module (9), data analysis module (10) and result output module (11)；Institute
Data acquisition module (7) are stated configured with data sampling sensor (2), data acquisition module (7) is for acquiring monitored equipment (1)
Monitoring object monitoring elements data；The data memory module (8) is used for the prison to the monitoring object of monitored equipment (1)
Element data is surveyed to be stored；The data cache module (9) is used for the monitoring elements to the monitoring object of monitored equipment (1)
Data are cached；The data analysis module (10) is used for the monitoring elements data to the monitoring object of monitored equipment (1)
It verified, cleaned and is loaded；The result output module (11) is used to export the monitoring of the monitoring object of monitored equipment (1)
As a result.
6. the equipment fault according to claim 5 based on sensing data monitors system, it is characterised in that: described monitored
The monitoring object of equipment (1) is belt, and the data sampling sensor (2) uses velocity sensor, and the velocity sensor is used
In the running speed for obtaining belt.
7. the equipment fault according to claim 5 based on sensing data monitors system, it is characterised in that: described monitored
The monitoring object of equipment (1) is the rotary motion equipment of electric machinery or the reciprocating motion equipment of piston pump class；The data acquisition
Sensor (2) uses vibrating sensor, and the vibrating sensor is arranged in the monitoring object of monitored equipment (1), the vibration
Dynamic sensor is used to obtain the vibration parameters of monitoring object.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821089044.6U CN208847455U (en) | 2018-07-10 | 2018-07-10 | Equipment fault monitoring device and system based on sensing data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821089044.6U CN208847455U (en) | 2018-07-10 | 2018-07-10 | Equipment fault monitoring device and system based on sensing data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN208847455U true CN208847455U (en) | 2019-05-10 |
Family
ID=66352998
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201821089044.6U Active CN208847455U (en) | 2018-07-10 | 2018-07-10 | Equipment fault monitoring device and system based on sensing data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN208847455U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109060325A (en) * | 2018-07-10 | 2018-12-21 | 朱小林 | Equipment fault monitoring device based on sensing data, system and method |
| CN110480418A (en) * | 2019-07-26 | 2019-11-22 | 江苏杉能机床有限公司 | A kind of nonstandard stock-removing machine incipient fault detection method of horizontal Machining centers |
-
2018
- 2018-07-10 CN CN201821089044.6U patent/CN208847455U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109060325A (en) * | 2018-07-10 | 2018-12-21 | 朱小林 | Equipment fault monitoring device based on sensing data, system and method |
| CN110480418A (en) * | 2019-07-26 | 2019-11-22 | 江苏杉能机床有限公司 | A kind of nonstandard stock-removing machine incipient fault detection method of horizontal Machining centers |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105446328B (en) | Generating set remote fault diagnosis and health monitoring systems and data capture method | |
| CN107345857A (en) | A kind of electro spindle condition monitoring and failure diagnosis system and its monitoring, diagnosing method | |
| CN210444297U (en) | Distribution thing networking edge gateway equipment | |
| CN208847455U (en) | Equipment fault monitoring device and system based on sensing data | |
| CN103901330A (en) | Partial discharge on-line monitoring method for XLPE cable | |
| CN107065720A (en) | Intelligent electric machine failure wave-recording early warning system | |
| CN110469496B (en) | Intelligent early warning method and system for water pump | |
| CN107192444A (en) | Intelligent output type vibration monitoring device and system and monitoring method including the device | |
| CN103195728A (en) | Large-scale fan on-line monitoring and diagnosing system | |
| CN106930934A (en) | The defeated failure of pump diagnostic method of one kind master and system | |
| CN102758727B (en) | Wind turbine state monitoring and error diagnosis system and method integrated into control system | |
| CN206892656U (en) | A kind of unmanned inspection supervising device of thermoelectricity water system equipment | |
| CN209149112U (en) | Pumping plant remote monitoring diagnostic system | |
| CN104915279A (en) | Multi-system state operation monitoring method and system | |
| CN206039287U (en) | Novel generator set controller suitable for remote monitoring | |
| CN101504309A (en) | Analysis method for reciprocating mechanical vibration signal | |
| CN206331290U (en) | Oxygenerator long distance control system | |
| CN109525405A (en) | A kind of electromechanical device state monitoring system and method based on NB-IoT | |
| CN109060325A (en) | Equipment fault monitoring device based on sensing data, system and method | |
| CN114993461B (en) | System and method for detecting vibration of motor of tower crane mechanism | |
| CN103197630B (en) | The self study criterion method of formation of Audio Monitoring System | |
| CN106525214A (en) | Wind-driven generator vibration detecting system | |
| CN107014483A (en) | A kind of plant equipment self-checking system monitored based on sound | |
| CN109451460A (en) | Electromechanical equipment operation/maintenance data acquisition method and system based on narrow-band technologies | |
| CN113218653B (en) | Offshore wind power gear box monitoring method and device based on low-frequency disturbance elimination |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |