CN109120832A - Equipment bearing vibration data acquires in real time and analysis system - Google Patents
Equipment bearing vibration data acquires in real time and analysis system Download PDFInfo
- Publication number
- CN109120832A CN109120832A CN201811236013.3A CN201811236013A CN109120832A CN 109120832 A CN109120832 A CN 109120832A CN 201811236013 A CN201811236013 A CN 201811236013A CN 109120832 A CN109120832 A CN 109120832A
- Authority
- CN
- China
- Prior art keywords
- equipment bearing
- vibration data
- node
- bearing vibration
- 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.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
- H04N23/54—Mounting of pick-up tubes, electronic image sensors, deviation or focusing coils
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/04—Bearings
- G01M13/045—Acoustic or vibration analysis
-
- 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]
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Acoustics & Sound (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Multimedia (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
It is acquired in real time the present invention provides equipment bearing vibration data and analysis system, the system includes for acquiring the data acquisition subsystem of equipment bearing vibration data, the computer analysing terminal for the cloud storage of cloud storage bear vibration data and for analyzing and showing the equipment bearing vibration data；The data acquisition subsystem, computer analysing terminal are all connect with the cloud storage；The data acquisition subsystem includes aggregation node and multiple sensor nodes for being used to acquire equipment bearing vibration data, the equipment bearing vibration data of sensor node acquisition is sent to aggregation node, and received equipment bearing vibration data is sent to cloud storage by aggregation node；The equipment bearing vibration data includes the vibration acceleration signal of equipment bearing to be detected vertical direction under different working condition.
Description
Technical field
The present invention relates to equipment monitoring technical fields, and in particular to equipment bearing vibration data acquires in real time is with analysis
System.
Background technique
Key components and parts of the equipment bearing as slewing, the quality of working condition will directly influence whole equipment
Working condition.Equipment bearing failure is possibly even to lead to weight when serious one of the main reason for leading to device fails
Big property loss.Therefore, in order to avoid reducing economic loss by the equipment fault of equipment bearing, status monitoring is carried out to bearing
To guarantee that its normal operation is highly desirable.
Summary of the invention
In view of the above-mentioned problems, present invention offer equipment bearing vibration data acquires in real time and analysis system.
The purpose of the present invention is realized using following technical scheme:
It provides equipment bearing vibration data to acquire in real time and analysis system, which includes for acquiring equipment bearing vibration
It is the data acquisition subsystem of dynamic data, described for the cloud storage of cloud storage bear vibration data and for analyzing and showing
The computer analysing terminal of equipment bearing vibration data；The data acquisition subsystem, computer analysing terminal all with the cloud
Memory connection；The data acquisition subsystem includes aggregation node and multiple sensings for being used to acquire equipment bearing vibration data
The equipment bearing vibration data of device node, sensor node acquisition is sent to aggregation node, and aggregation node is by received equipment axis
It holds vibration data and is sent to cloud storage.
Wherein, the equipment bearing vibration data includes equipment bearing to be detected vertical direction under different working condition
Vibration acceleration signal.
Preferably, the sensor node includes sensor and for sensor signal to be converted to corresponding equipment bearing
The signal adapter of vibration data, the signal adapter are connect with sensor；It further include the control for controlling frequency acquisition
Device, the controller are connect with sensor.
Wherein, computer analysing terminal analyzes the equipment bearing vibration data in cloud storage, comprising: to described
Equipment bearing vibration data is pre-processed, and the pretreatment includes removal data exception point and data normalized.
Further, computer analysing terminal analyzes the equipment bearing vibration data in cloud storage, further includes:
Detect whether pretreated equipment bearing vibration data exceeds corresponding preset threshold range, and output test result.
The invention has the benefit that the present invention can intelligently obtain equipment bearing vibration data in real time, and carry out corresponding
Data analysis, equipment bearing vibration information is understood in time convenient for monitoring personnel, and further analytical equipment bearing state, to can
The equipment bearing that can be broken down is checked that reduction is because of the loss caused by equipment bearing failure in time.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is that the equipment bearing vibration data of an illustrative embodiment of the invention acquires and the structure of analysis system in real time
Schematic block diagram；
Fig. 2 is the structural schematic block diagram of the sensor node of an illustrative embodiment of the invention.
Appended drawing reference:
Data acquisition subsystem 1, cloud storage 2, computer analysing terminal 3, sensor 10, signal adapter 20, control
Device 30.
Specific embodiment
The invention will be further described with the following Examples.
The equipment bearing vibration data that Fig. 1 shows an illustrative embodiment of the invention acquires and analysis system in real time
Structural schematic block diagram.
As shown in Figure 1, being acquired in real time the embodiment of the invention provides equipment bearing vibration data and analysis system, the system
Including for acquiring equipment bearing vibration data data acquisition subsystem 1, deposit for the clouds of cloud storage bear vibration data
Reservoir 2 and computer analysing terminal 3 for analyzing and showing the equipment bearing vibration data；The data acquisition subsystem
1, computer analysing terminal 3 is all connect with the cloud storage 2.
Wherein, computer analysing terminal 3 analyzes the equipment bearing vibration data in cloud storage 2, comprising: to institute
It states equipment bearing vibration data to be pre-processed, the pretreatment includes removal data exception point and data normalized.
Further, computer analysing terminal 3 analyzes the equipment bearing vibration data in cloud storage 2, also wraps
It includes: detecting whether pretreated equipment bearing vibration data exceeds corresponding preset threshold range, and output test result.
In the mode that can implement of one kind, the data acquisition subsystem 1 includes aggregation node and multiple for acquiring
The equipment bearing vibration data of the sensor node of equipment bearing vibration data, sensor node acquisition is sent to aggregation node,
Received equipment bearing vibration data is sent to cloud storage 2 by aggregation node.
Wherein, the equipment bearing vibration data includes equipment bearing to be detected vertical direction under different working condition
Vibration acceleration signal.
Wherein, as shown in Fig. 2, the sensor node includes sensor 10 and for being converted to the signal of sensor 10
The signal adapter 20 of corresponding equipment bearing vibration data, the signal adapter 20 are connect with sensor 10；It further include using
In the controller 30 of control frequency acquisition, the controller 30 is connect with sensor 10.
The equipment bearing vibration data of the above embodiment of the present invention setting acquires in real time and analysis system, can intelligently in real time
Equipment bearing vibration data is obtained, and carries out corresponding data analysis, understands equipment bearing vibration letter in time convenient for monitoring personnel
Breath, and further analytical equipment bearing state, check the equipment bearing that may be broken down in time, reduce because of equipment axis
Hold loss caused by failure.
In the prior art, the sensor node near aggregation node not only transmits the equipment bearing vibration number of oneself acquisition
According to also wanting the equipment bearing vibration data of relay forwarding other sensors node, therefore the sensor section near aggregation node
Point will send more equipment bearing vibration datas compared to the sensor node far from aggregation node, so wireless sensor network
Energy volution is easy to produce near aggregation node.
In a kind of mode that can be realized, the present embodiment setting aggregation node is removable, and aggregation node is regular
Energy measuring, the sensor section being set within the scope of aggregation node communication distance are carried out to the sensor node in its communication range
Point set is combined into X, if detecting, sensor node meets mobile condition, aggregation node current remaining into set X in set X
More sensor node is mobile, and according to the information of new location updating set X, wherein the mobile condition are as follows:
In formula, HXFor the sensor node quantity in set X, r is the sensor node in set X, UrFor sensor node
The current remaining of r, UreFor the current remaining of e-th of sensor node in sensor node r communication range, HrFor
Sensor node quantity in sensor node r communication range, YrFor the communication radius of sensor node r, UqFor in set X
The current remaining of q-th of sensor node, YOFor the communication radius of aggregation node.
Based on the above existing technology problems, setting aggregation node is removable for the present embodiment, and innovatively fixed
Justice mobile condition.The present embodiment is arranged aggregation node and periodically carries out energy monitoring to surrounding sensor node, and in week
When the energy situation of the sensor node enclosed meets mobile condition, allow aggregation node to current remaining it is more near sense
Device node motion setting distance, far from energy it is less near sensor node, be beneficial to balance aggregation node nearby sense
The energy of device node reduces Energy volution phenomenon, and then effectively extends network lifetime, improves equipment bearing vibration data and receives
The stability of collection.
In a kind of mode that can be realized, aggregation node more sensor node of current remaining into set X
It is mobile, comprising:
(1) in aggregation node set of computations X sensor node average residual energy, by current remaining in set X
Greater than the sensor node alternately destination node of the average residual energy；
(2) the energy potential force value of alternative target node is calculated according to the following formula:
In formula, VaIndicate the energy potential force value of alternative target node a, UaFor the current remaining of alternative target node a,
UabFor the current remaining of b-th of sensor node in alternative target node a communication range, HaFor alternative target node a
Sensor node number in communication range, YaFor the communication radius of alternative target node a；
(3) each alternative target node is ranked up according to the descending sequence of energy potential force value, selection first 2 alternative
Destination node is as destination node；
(4) coordinate for setting two destination nodes is respectively (x1, y1, z1)、(x2, y2, z2), then aggregation node is to pointDirection it is mobile.
The present embodiment proposes the mobile mechanism of aggregation node, wherein the first sensor in communication range of aggregation node
Alternative target node is filtered out in node, then calculating the energy potential force value of each alternative target node can by preparatory screening
It saves and calculates time and cost.The present embodiment chooses energy potential force value maximum and secondary big alternative target node as target section
Point, and using the position of 2 destination nodes as benchmark, determine the moving direction of aggregation node.
The present embodiment realizes the moving direction optimization of aggregation node, is conducive to make aggregation node to the biggish sensing of energy
Device node rendezvous region displacement improves the mobile efficiency of aggregation node, and then effectively extends network lifetime, and raising is set
The stability of standby bear vibration data collection.
Further, the moving distance upper limit is set, so that the total distance of aggregation node movement is no more than in the moving distance
Limit.
In a kind of mode that can be realized, the moving distance of each aggregation node calculates according to the following formula:
In formula, WsFor the moving distance of the s times aggregation node, Vs1The first aim node determined when mobile for the s times
Energy weight, Vs2The energy weight of the second target node determined when mobile for the s times, VoIt is weighed for the energy of aggregation node
Weight, LS1, oDistance for the first aim node to aggregation node, LS2, oFor the second target node to aggregation node
Distance, VcFor the unit energy weight of setting, WcFor the unit moving distance of setting.
The difference of energy weight of the present embodiment based on destination node and aggregation node innovatively sets aggregation node shifting
The calculation formula of dynamic distance, according to the calculation formula, if the energy weight of destination node is bigger, the moving distance of aggregation node
Also bigger.The moving distance mobile sink node that the present embodiment is calculated according to the calculation formula enables to aggregation node to true
Fixed moving direction is moved to preferably position, and the mode relative to random movement aggregation node, can save aggregation node
Mobile energy consumption, and then save equipment bearing vibration data compiling costs to a certain extent.
The equipment bearing vibration data of the above embodiment of the present invention setting acquires in real time and analysis system, passes through wireless sensing
Device network intelligence obtains equipment bearing vibration data in real time, and is transported to long-range computer analysing terminal 3 and is counted accordingly
According to analysis, equipment bearing vibration information is understood in time convenient for monitoring personnel, and further analytical equipment bearing state, send out possible
The equipment bearing of raw failure is checked that reduction is because of the loss caused by equipment bearing failure in time.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. equipment bearing vibration data acquires in real time and analysis system, characterized in that including for acquiring equipment bearing vibration number
According to data acquisition subsystem, for the cloud storage of cloud storage bear vibration data and for analyzing and showing the equipment
The computer analysing terminal of bear vibration data；The data acquisition subsystem, computer analysing terminal all with the cloud storage
Device connection；The data acquisition subsystem includes aggregation node and multiple sensor sections for being used to acquire equipment bearing vibration data
The equipment bearing vibration data of point, sensor node acquisition is sent to aggregation node, and aggregation node shakes received equipment bearing
Dynamic data are sent to cloud storage；The equipment bearing vibration data includes that equipment bearing to be detected is sagging in different working condition
Histogram to vibration acceleration signal.
2. equipment bearing vibration data according to claim 1 acquires in real time and analysis system, characterized in that the sensing
Device node includes sensor, further includes the signal adaptation for sensor signal to be converted to corresponding equipment bearing vibration data
Device, the signal adapter are connect with sensor.
3. equipment bearing vibration data according to claim 2 acquires in real time and analysis system, characterized in that the sensing
Device node further includes the controller for controlling frequency acquisition, and the controller is connect with sensor.
4. equipment bearing vibration data according to claim 1 acquires in real time and analysis system, characterized in that computer point
Analysis terminal analyzes the equipment bearing vibration data in cloud storage, comprising: carries out to the equipment bearing vibration data
Pretreatment, the pretreatment include removal data exception point and data normalized.
5. equipment bearing vibration data according to claim 4 acquires in real time and analysis system, characterized in that computer point
Analysis terminal analyzes the equipment bearing vibration data in cloud storage, further includes: detects pretreated equipment bearing vibration
Whether dynamic data exceed corresponding preset threshold range, and output test result.
6. equipment bearing vibration data according to claim 1 acquires in real time and analysis system, characterized in that the remittance
Poly- node is removable, and aggregation node periodically carries out energy measuring to the sensor node in its communication range, is set in convergence section
Sensor node collection within the scope of point communication distance is combined into X, if detecting, sensor node meets mobile condition in set X, converges
The poly- node sensor node that current remaining is more into set X is mobile, and according to the information of new location updating set X,
The wherein mobile condition are as follows:
In formula, HXFor the sensor node quantity in set X, r is the sensor node in set X, UrFor sensor node r's
Current remaining, UreFor the current remaining of e-th of sensor node in sensor node r communication range, HrTo pass
Sensor node quantity in sensor node r communication range, YrFor the communication radius of sensor node r, UqFor the q in set X
The current remaining of a sensor node, YOFor the communication radius of aggregation node.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811236013.3A CN109120832A (en) | 2018-10-22 | 2018-10-22 | Equipment bearing vibration data acquires in real time and analysis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811236013.3A CN109120832A (en) | 2018-10-22 | 2018-10-22 | Equipment bearing vibration data acquires in real time and analysis system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109120832A true CN109120832A (en) | 2019-01-01 |
Family
ID=64854355
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811236013.3A Pending CN109120832A (en) | 2018-10-22 | 2018-10-22 | Equipment bearing vibration data acquires in real time and analysis system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109120832A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113438305A (en) * | 2021-06-23 | 2021-09-24 | 鹤壁国立光电科技股份有限公司 | Ubiquitous data acquisition system |
| CN114896559A (en) * | 2022-04-29 | 2022-08-12 | 盐城工学院 | Self-adaptive noise complete set empirical mode decomposition method based on permutation entropy |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120300632A1 (en) * | 2011-04-13 | 2012-11-29 | Renesas Mobile Corporation | Sensor network information collection via mobile gateway |
| WO2015077940A1 (en) * | 2013-11-27 | 2015-06-04 | 华为技术有限公司 | Sink node routing method and node device |
| CN106937352A (en) * | 2015-12-29 | 2017-07-07 | 扬州大学 | Mobile sink node Wireless Sensor Network Routing Protocol based on particle cluster algorithm |
| CN107295569A (en) * | 2016-03-31 | 2017-10-24 | 扬州大学 | A kind of Routing Protocol of the energy efficient based on many mobile sink nodes |
| CN107994948A (en) * | 2017-12-30 | 2018-05-04 | 山东省科学院海洋仪器仪表研究所 | A kind of mobile Sink paths planning methods for underwater heterogeneous sensor network |
| CN108322899A (en) * | 2018-01-11 | 2018-07-24 | 深圳市晟达机械设计有限公司 | Power transformer vibration monitor system based on wireless sensor network |
| CN108645619A (en) * | 2018-07-25 | 2018-10-12 | 深圳大图科创技术开发有限公司 | Mechanical bearing vibrates intelligent monitor system |
| CN108663084A (en) * | 2018-04-25 | 2018-10-16 | 深圳汇创联合自动化控制有限公司 | Bridge structure safe intelligent monitor system based on big data processing |
-
2018
- 2018-10-22 CN CN201811236013.3A patent/CN109120832A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120300632A1 (en) * | 2011-04-13 | 2012-11-29 | Renesas Mobile Corporation | Sensor network information collection via mobile gateway |
| WO2015077940A1 (en) * | 2013-11-27 | 2015-06-04 | 华为技术有限公司 | Sink node routing method and node device |
| CN106937352A (en) * | 2015-12-29 | 2017-07-07 | 扬州大学 | Mobile sink node Wireless Sensor Network Routing Protocol based on particle cluster algorithm |
| CN107295569A (en) * | 2016-03-31 | 2017-10-24 | 扬州大学 | A kind of Routing Protocol of the energy efficient based on many mobile sink nodes |
| CN107994948A (en) * | 2017-12-30 | 2018-05-04 | 山东省科学院海洋仪器仪表研究所 | A kind of mobile Sink paths planning methods for underwater heterogeneous sensor network |
| CN108322899A (en) * | 2018-01-11 | 2018-07-24 | 深圳市晟达机械设计有限公司 | Power transformer vibration monitor system based on wireless sensor network |
| CN108663084A (en) * | 2018-04-25 | 2018-10-16 | 深圳汇创联合自动化控制有限公司 | Bridge structure safe intelligent monitor system based on big data processing |
| CN108645619A (en) * | 2018-07-25 | 2018-10-12 | 深圳大图科创技术开发有限公司 | Mechanical bearing vibrates intelligent monitor system |
Non-Patent Citations (2)
| Title |
|---|
| T. BANERJEE，D. P. AGRAWAL: "Increasing Lifetime of Wireless Sensor Networks Using Controllable Mobile Cluster Heads", 《2008 IEEE INTERNATIONAL PERFORMANCE, COMPUTING AND COMMUNICATIONS CONFERENCE》 * |
| 徐俊: "无线传感器网络中汇聚节点移动性的研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113438305A (en) * | 2021-06-23 | 2021-09-24 | 鹤壁国立光电科技股份有限公司 | Ubiquitous data acquisition system |
| CN113438305B (en) * | 2021-06-23 | 2022-10-18 | 鹤壁国立光电科技股份有限公司 | Ubiquitous data acquisition system |
| CN114896559A (en) * | 2022-04-29 | 2022-08-12 | 盐城工学院 | Self-adaptive noise complete set empirical mode decomposition method based on permutation entropy |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11111782B2 (en) | System and method for oilfield management | |
| CN109120832A (en) | Equipment bearing vibration data acquires in real time and analysis system | |
| CN108645619B (en) | Intelligent monitoring system for vibration of mechanical bearing | |
| CN104406603A (en) | Step-counting method based on acceleration sensor and device thereof | |
| CN103175575A (en) | Bridge structure health monitoring system based on ZIGBEE network | |
| CN103806893B (en) | Intelligent detecting method, device and detection system | |
| CN108401235A (en) | A kind of agriculture site environment parameter intelligent acquisition processing system based on big data | |
| CN104297547B (en) | Distributed load current sensing system | |
| CN211047239U (en) | Low-power consumption wireless mobile monitor and system | |
| CN109115498A (en) | Machine bearing vibration data acquires in real time and analysis system | |
| CN104118782B (en) | Elevator variable frequency device bus capacitor capacity check and diagnosis method for early warning and system thereof | |
| CN105973311A (en) | Remote forest environment detection system based on temperature and humidity sensor | |
| CN102627062A (en) | Control system and control method for vehicle suspension height measurement and vehicle | |
| CN109249956A (en) | Train rail real-time radio detection system | |
| CN106292612B (en) | A kind of ladle baking facility on-line fault diagnosis system | |
| CN208751504U (en) | A kind of earth surface area deformation monitoring instrument | |
| CN109743400B (en) | One kind being used for municipal works reflection wave method device | |
| CN103940421A (en) | Vertical locating method and device | |
| CN200941242Y (en) | Radio remote mining yield detector | |
| CN108990003A (en) | A kind of net floor system | |
| CN106341843A (en) | Data flow shunting routing method based on multipath wireless sensor network (WSN) | |
| CN109163796A (en) | Bearing in rotating machinery vibration data intelligence is capable of real-time acquisition and analysis system | |
| CN202501834U (en) | Device for detecting swing amplitude and stress of high-rise construction lift guide rail | |
| CN109345778A (en) | Air pollution information obtains automatically and real-time publishing system | |
| CN205643245U (en) | Digital wire rope sensor of detecting a flaw |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190101 |
|
| RJ01 | Rejection of invention patent application after publication |