CN108645619A - Mechanical bearing vibrates intelligent monitor system - Google Patents
Mechanical bearing vibrates intelligent monitor system Download PDFInfo
- Publication number
- CN108645619A CN108645619A CN201810827045.4A CN201810827045A CN108645619A CN 108645619 A CN108645619 A CN 108645619A CN 201810827045 A CN201810827045 A CN 201810827045A CN 108645619 A CN108645619 A CN 108645619A
- Authority
- CN
- China
- Prior art keywords
- sensor node
- mechanical bearing
- node
- sensor
- cluster head
- 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.)
- Granted
Links
Classifications
-
- 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
Abstract
The present invention provides mechanical bearings to vibrate intelligent monitor system, which includes the sensing subsystem for being configured as collection machinery bear vibration data, is configured as the data storage device of storage mechanical bearing vibration data and is configured as showing the visualization device of the mechanical bearing vibration data;The sensing subsystem, visualization device are all connect with the data storage device;The sensing subsystem includes aggregation node and multiple sensor nodes for being configured as collection machinery bear vibration data, aggregation node and sensor node build the wireless sensor network of sub-clustering type structure by Ad hoc mode, and when constructing network topology selects cluster head from sensor node and carries out sub-clustering;Cluster head is configured as summarizing the mechanical bearing vibration data that cluster inner sensor node acquires and is sent to aggregation node;Aggregation node is configured as the mechanical bearing vibration data that each cluster head summarizes being sent to data storage device.
Description
Technical field
The present invention relates to monitoring of equipment technical fields, and in particular to mechanical bearing vibrates intelligent monitor system.
Background technology
The quality of key components and parts of the mechanical bearing as rotating machinery, working condition will directly influence whole machinery
The working condition of equipment.Bearing in rotating machinery failure is one of the main reason for causing rotating machinery to break down, seriously
When possibly even lead to the heavy losses of property.Therefore, in order to avoid by the mechanical breakdown of bearing in rotating machinery, the economic damage of reduction
It loses, status monitoring is carried out to ensure that its normal operation is highly desirable to bearing.
Invention content
In view of the above-mentioned problems, the present invention, which provides mechanical bearing, vibrates intelligent monitor system.
The purpose of the present invention is realized using following technical scheme:
Mechanical bearing vibration intelligent monitor system is provided, which includes being configured as collection machinery bear vibration data
Sensing subsystem, be configured as storage mechanical bearing vibration data data storage device and be configured as showing the machinery
The visualization device of bear vibration data;The sensing subsystem, visualization device are all connect with the data storage device;Institute
It includes aggregation node and multiple sensor nodes for being configured as collection machinery bear vibration data, convergence section to state sensing subsystem
Point and sensor node build the wireless sensor network of sub-clustering type structure by Ad hoc mode, from biography when constructing network topology
Cluster head is selected in sensor node and carries out sub-clustering;Cluster head is configured as the mechanical bearing for acquiring cluster inner sensor node vibration
Data summarization is simultaneously sent to aggregation node;Aggregation node is configured as the mechanical bearing vibration data that each cluster head summarizes being sent to
Data storage device.
Wherein, the mechanical bearing vibration data includes mechanical bearing to be detected vertical direction under different working condition
Vibration acceleration signal.
Preferably, the sensor node includes sensor and is configured as sensor signal being converted to corresponding machinery
The signal adapter of bear vibration data, the signal adapter are connect with sensor;Further include being configured as control acquisition frequency
The controller of rate, the controller are connect with sensor.
Further, the visualization device is additionally configured to:Before showing the mechanical bearing vibration data, to institute
It states mechanical bearing vibration data to be pre-processed, including removal data exception point and data normalized.
Beneficial effects of the present invention are:The present invention can intelligently obtain mechanical bearing vibration data in real time, convenient for monitoring people
Member understands mechanical bearing vibration information in time, and mechanical bearing is further analyzed according to mechanical bearing vibration information convenient for monitoring personnel
State checks the mechanical bearing that may be broken down in time, reduces the loss caused by mechanical bearing failure.
Description of the drawings
Using attached drawing, the invention will be further described, but the embodiment in attached drawing does not constitute any limit to the present 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 the structural schematic block diagram of the mechanical bearing vibration intelligent monitor system of an illustrative embodiment of the invention;
Fig. 2 is the structural schematic block diagram of the sensor node of an illustrative embodiment of the invention.
Reference numeral:
Sensing subsystem 1, data storage device 2, visualization device 3, sensor 10, signal adapter 20, controller 30.
Specific implementation mode
The invention will be further described with the following Examples.
Referring to Fig. 1, an embodiment of the present invention provides mechanical bearings to vibrate intelligent monitor system, which includes being configured as
The sensing subsystem 1 of collection machinery bear vibration data, the data storage device 2 for being configured as storage mechanical bearing vibration data
Be configured as showing the visualization device 3 of the mechanical bearing vibration data;The sensing subsystem 1, visualization device 3 are all
It is connect with the data storage device 2.
In a kind of optional mode, the visualization device is additionally configured to:Showing the mechanical bearing vibration number
According to before, the mechanical bearing vibration data is pre-processed, including removal data exception point and data normalized.
In a kind of mode that can implement, the sensing subsystem 1 includes aggregation node and multiple is configured as acquiring
The sensor node of mechanical bearing vibration data, aggregation node and sensor node build sub-clustering type structure by Ad hoc mode
Wireless sensor network, when constructing network topology selects cluster head from sensor node and carries out sub-clustering;Cluster head is configured
Mechanical bearing vibration data to acquire cluster inner sensor node summarizes and is sent to aggregation node;Aggregation node is configured as
The mechanical bearing vibration data that each cluster head summarizes is sent to data storage device 2.
Wherein, the mechanical bearing vibration data includes mechanical 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 is configured as turning the signal of sensor 10
It is changed to the signal adapter 20 of corresponding mechanical bearing vibration data, the signal adapter 20 is connect with sensor 10;Also wrap
The controller 30 for being configured as control frequency acquisition is included, the controller 30 is connect with sensor 10.
The above embodiment of the present invention can intelligently obtain mechanical bearing vibration data in real time, understand in time convenient for monitoring personnel
Mechanical bearing vibration information further analyzes mechanical bearing state according to mechanical bearing vibration information convenient for monitoring personnel, pair can
The mechanical bearing that can be broken down is checked in time, reduces the loss caused by mechanical bearing failure.
In one embodiment, if in cluster each sensor node be no more than at a distance from corresponding cluster head the communication of setting away from
From threshold value Lσ, then directly communicated with corresponding cluster head;If being more than the communication distance threshold value L of setting with corresponding cluster head distanceσ, sensor
Node chosen distance corresponds to the closer neighbours' sensor node of cluster head and communicates;Wherein, neighbours' sensor of sensor node i
Node is the other sensors node in sensor node i communication ranges.
The present embodiment sets the communication routing mechanism between sensor node and cluster head, in the communication routing mechanism, passes through
Distance determine sensor node whether with cluster head direct communication, can ensure sensor node acquisition mechanical bearing vibration data
It is sent to cluster head reliable and stablely.
In a kind of optional mode, sensor node chosen distance corresponds to the closer neighbours' sensor node of cluster head and carries out
Communication, including:
(1) in the closer neighbours' sensor node of the corresponding cluster head of distance, selector closes neighbours' sensor of path condition
Node alternately connecting node, is included into alternative connecting node set;
(2) sensor node selects the maximum neighbours' sensor node of current remaining in alternative connecting node set
It is communicated;
Wherein, the path condition is:
In formula, OiIndicate that the correspondence cluster head of sensor node i, ij indicate the neighbour closer apart from cluster head of sensor node i
Occupy j-th of neighbours' sensor node in sensor node;For j-th of neighbour sensor node and cluster head OiAway from
From LσFor the communication distance threshold value of the setting, niFor the neighbours sensor node number closer apart from cluster head of sensor node i
Amount.
The present embodiment innovatively sets path condition so that when being more than the communication distance threshold value of setting with cluster head distance
Sensor node when selecting next-hop, the next-hop of chosen distance cluster head farther out can be avoided, so as to effectively reduce
Mechanical bearing vibration data propagation delay time, while reducing in multi-hop transmission since mechanical bearing caused by data flow interference vibrates
The incidence of data-bag lost phenomenon.
In one embodiment, sensor node in mechanical bearing vibration data transmission process periodically calculate and more
The new spatial cache congestion level of itself, while updated spatial cache congestion level being sent to the sensor section of upper hop
Point;Sensor node monitors the neighbours' sensor node communicated in real time, when the caching sky for finding neighbours' sensor node
Between congestion level be more than setting variation degree threshold value when, sensor node reselects neighbours' sensor node and communicates.
In a kind of optional mode, other neighbours sensing of the sensor node in the alternative connecting node set of oneself
In device node, reselects the maximum neighbours' sensor node of current remaining and communicate.
Wherein, spatial cache congestion level is as 0, the calculation formula of the spatial cache congestion level when setting initial:
In formula, Si(q) the spatial cache congestion level that sensor node i is calculated at the current period q moment, d are indicatedi(q) it is
Mechanical bearing vibration data packet queue lengths of the sensor node i at the current period q moment in own cache space, di(q-
Mechanical bearing vibration data packet queue lengths of Δ q) the sensor nodes i at the upper moment in period q in own cache space, Δ
Q is period interval time, dI, maxFor the initial cache size of sensor node i;U is spatial cache congestion level impact factor,
When the spatial cache congestion level of the next-hop sensor node of sensor node i is more than the variation degree threshold value of setting, u=
0.1, otherwise u=0;
In formula,For sensor node i next-hop sensor node at a distance from corresponding cluster head, LσIt is described
The communication distance threshold value of setting;Z[di(q)-di(q- Δs q)] it is the judgement value function set, work as di(q)-di(q-Δq)≥0
When, Z [di(q)-di(q- Δs q)]=1, work as di(q)-di(when q- Δ q) < 0, Z [di(q)-di(q- Δs q)]=- 0.4.
The present embodiment sets sensor node to the route maintenance mechanism of cluster head, wherein setting spatial cache congestion journey
The calculation formula of degree, the spatial cache congestion level can preferably reflect next-hop sensor node to path between cluster head
Congestion Level SPCC.
Since the remaining cache space of a sensor node is too small or has a large amount of mechanical bearing vibration data packets to reach
When, the pressure of sensor node processes mechanical bearing vibration data packet will increased dramatically, and mechanical bearing vibration data packet will be overstock
In the spatial cache of sensor node, certain congestion phenomenon is caused.
Based on above-mentioned phenomenon, the present embodiment weighs this phenomenon severity by spatial cache congestion level to serve as
Index, when sensor node finds that the spatial cache congestion level of communicated neighbours' sensor node is more than the variation journey of setting
When spending threshold value, reselecting for next-hop node is carried out, it is excessive can effectively to reduce mechanical bearing vibration data packet caching quantity
Sensor node processing pressure, balance the load of each sensor node, effectively reduce because mechanical bearing vibration data cache
The excessively probability of packet loss, and then the reliability of mechanical bearing vibration data transmission is improved, for subsequently to the failure of mechanical bearing
Monitoring provides more comprehensive data basis.
In one embodiment, the distance between cluster head and aggregation node be less than it is preset apart from lower limit when, cluster head is straight
It connects and is communicated with aggregation node;The distance between cluster head and aggregation node be more than it is preset apart from lower limit when, cluster head passes through multi-hop road
By mode mechanical bearing vibration data is sent to aggregation node.
In a kind of optional mode, when selecting next-hop, cluster head calculate it is each apart from aggregation node closer to neighbours' cluster
First preferred value, and therefrom select the maximum neighbours' cluster head of preferred value as next-hop;
Set the calculation formula of preferred value as:
In formula, CabFor b-th of cluster head a apart from aggregation node closer to neighbours' cluster head preferred value, STFor the setting
Variation degree threshold value, Sb(q) be described b-th apart from aggregation node closer to neighbours' cluster head current cache steric congestion journey
Degree, L (b, o) be described b-th apart from aggregation node closer to neighbours' cluster head to the distance of aggregation node, LminFor the setting
Apart from lower limit, L (a, o) is distances of the cluster head a to aggregation node;w1、w2For the weight coefficient of setting.
The present embodiment is based on spatial cache congestion level and distance factor, and the calculating for creatively setting preferred value is public
Formula, and accordingly propose cluster head to aggregation node communication routing mechanism.
Based on the communication routing mechanism, in the present embodiment, the distance between cluster head and aggregation node are more than preset distance
When lower limit, the maximum neighbours' cluster head of cluster-leader selected preferred value is conducive to improve the transmission of mechanical bearing vibration data as next-hop
Reliability, and the total length of mechanical bearing vibration data transmission path can be shortened as possible, save mechanical bearing vibration data
The cost of transmission, and then the monitoring cost of mechanical bearing vibration intelligent monitor system is saved on the whole.
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 being explained in detail to the present invention with reference to preferred embodiment, those skilled in the art answer
Work as understanding, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. mechanical bearing vibrates intelligent monitor system, characterized in that the biography including being configured as collection machinery bear vibration data
Sense subsystem is configured as storing the data storage device of mechanical bearing vibration data and is configured as showing the mechanical bearing
The visualization device of vibration data;The sensing subsystem, visualization device are all connect with the data storage device;The biography
Sense subsystem includes aggregation node and multiple sensor nodes for being configured as collection machinery bear vibration data, aggregation node and
Sensor node builds the wireless sensor network of sub-clustering type structure by Ad hoc mode, from sensor when constructing network topology
Cluster head is selected in node and carries out sub-clustering;Cluster head is configured as the mechanical bearing vibration data for acquiring cluster inner sensor node
Summarize and is sent to aggregation node;Aggregation node is configured as the mechanical bearing vibration data that each cluster head summarizes being sent to data
Storage device;The mechanical bearing vibration data includes the vibration of mechanical bearing to be detected vertical direction under different working condition
Acceleration signal.
2. mechanical bearing according to claim 1 vibrates intelligent monitor system, characterized in that the sensor node includes
It sensor and is configured as being converted to sensor signal into the signal adapter of corresponding mechanical bearing vibration data, the signal
Adapter is connect with sensor.
3. mechanical bearing according to claim 2 vibrates intelligent monitor system, characterized in that the sensor node also wraps
The controller for being configured as control frequency acquisition is included, the controller is connect with sensor.
4. mechanical bearing according to claim 2 vibrates intelligent monitor system, characterized in that the visualization device also by
It is configured to:Before showing the mechanical bearing vibration data, the mechanical bearing vibration data is pre-processed, including goes
Except data abnormal point and data normalized.
5. mechanical bearing according to claim 1 vibrates intelligent monitor system, characterized in that if each sensor node in cluster
It is no more than the communication distance threshold value L of setting at a distance from corresponding cluster headσ, then directly communicated with corresponding cluster head;If with corresponding cluster head
Distance is more than the communication distance threshold value L of settingσ, sensor node chosen distance correspond to the closer neighbours' sensor node of cluster head into
Row communication;Wherein, neighbours' sensor node of sensor node i is other sensings in sensor node i communication ranges
Device node.
6. mechanical bearing according to claim 5 vibrates intelligent monitor system, characterized in that sensor node chosen distance
The closer neighbours' sensor node of corresponding cluster head communicates, including:
(1) in the closer neighbours' sensor node of the corresponding cluster head of distance, selector closes neighbours' sensor node of path condition
Alternately connecting node is included into alternative connecting node set;
(2) sensor node selects the maximum neighbours' sensor node of current remaining to carry out in alternative connecting node set
Communication;
Wherein, the path condition is:
In formula, OiIndicate that the correspondence cluster head of sensor node i, ij indicate the neighbours sensing closer apart from cluster head of sensor node i
J-th of neighbours' sensor node in device node;For j-th of neighbour sensor node and cluster head OiDistance, LσFor
The communication distance threshold value of the setting, niFor the neighbours sensor node quantity closer apart from cluster head of sensor node i.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810827045.4A CN108645619B (en) | 2018-07-25 | 2018-07-25 | Intelligent monitoring system for vibration of mechanical bearing |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810827045.4A CN108645619B (en) | 2018-07-25 | 2018-07-25 | Intelligent monitoring system for vibration of mechanical bearing |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108645619A true CN108645619A (en) | 2018-10-12 |
CN108645619B CN108645619B (en) | 2020-05-12 |
Family
ID=63760145
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810827045.4A Active CN108645619B (en) | 2018-07-25 | 2018-07-25 | Intelligent monitoring system for vibration of mechanical bearing |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108645619B (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109115499A (en) * | 2018-10-19 | 2019-01-01 | 广州益牛科技有限公司 | Equipment bearing vibration data intelligence is capable of real-time acquisition and analysis system |
CN109115498A (en) * | 2018-10-17 | 2019-01-01 | 东莞青柳新材料有限公司 | Machine bearing vibration data acquires in real time and analysis system |
CN109120832A (en) * | 2018-10-22 | 2019-01-01 | 泉州兴哲商贸有限公司 | Equipment bearing vibration data acquires in real time and analysis system |
CN109211569A (en) * | 2018-10-25 | 2019-01-15 | 广州益牛科技有限公司 | Machine bearing vibrates intelligent monitor system |
CN109239804A (en) * | 2018-10-19 | 2019-01-18 | 深圳美特优科技有限公司 | The acquisition of maritime meteorology information intelligent and real-time broadcasting system |
CN109238716A (en) * | 2018-11-08 | 2019-01-18 | 深圳众宝城贸易有限公司 | A kind of mechanical bearing abnormality detection system of real-time intelligent |
CN109347952A (en) * | 2018-10-17 | 2019-02-15 | 深圳众宝城贸易有限公司 | Rotary equipment bearings abnormal vibration intelligent prompt system |
CN109443770A (en) * | 2018-12-03 | 2019-03-08 | 深圳众宝城贸易有限公司 | A kind of mechanical bearing abnormal vibration detection system of real-time intelligent |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2008045007A2 (en) * | 2006-10-10 | 2008-04-17 | Baknet Iletisim Ve Bilgisayar Urunleri Pazarlama Sanayi Ve Ticaret Anonim Sirketi | The method for credit card and atm transaction by mobile device |
JP2010113573A (en) * | 2008-11-07 | 2010-05-20 | Brother Ind Ltd | Content distribution storage system, content storage method, server device, node device, server processing program and node processing program |
WO2010107440A1 (en) * | 2009-03-20 | 2010-09-23 | Innovative Wireless Technologies, Inc. | Method and apparatus for reliable communications in underground and hazardous areas |
CN103884371A (en) * | 2012-12-20 | 2014-06-25 | 中国科学院沈阳自动化研究所 | Fault diagnosis device and method based on WIA-PA wireless vibration instrument |
CN104133448A (en) * | 2014-07-30 | 2014-11-05 | 江西理工大学 | Intelligent oncomelania and oncomelania living environment monitoring system based on wireless sensor network |
CN106375940A (en) * | 2016-08-29 | 2017-02-01 | 北京农业信息技术研究中心 | Agricultural perception data sparse vector acquiring and space coupling method |
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 |
CN107462289A (en) * | 2017-09-30 | 2017-12-12 | 韦彩霞 | A kind of water quality safety monitoring system |
CN108171956A (en) * | 2018-03-03 | 2018-06-15 | 深圳凯达通光电科技有限公司 | A kind of power transformer environmental monitoring system based on big data and WSN technology |
-
2018
- 2018-07-25 CN CN201810827045.4A patent/CN108645619B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2008045007A2 (en) * | 2006-10-10 | 2008-04-17 | Baknet Iletisim Ve Bilgisayar Urunleri Pazarlama Sanayi Ve Ticaret Anonim Sirketi | The method for credit card and atm transaction by mobile device |
JP2010113573A (en) * | 2008-11-07 | 2010-05-20 | Brother Ind Ltd | Content distribution storage system, content storage method, server device, node device, server processing program and node processing program |
WO2010107440A1 (en) * | 2009-03-20 | 2010-09-23 | Innovative Wireless Technologies, Inc. | Method and apparatus for reliable communications in underground and hazardous areas |
CN103884371A (en) * | 2012-12-20 | 2014-06-25 | 中国科学院沈阳自动化研究所 | Fault diagnosis device and method based on WIA-PA wireless vibration instrument |
CN104133448A (en) * | 2014-07-30 | 2014-11-05 | 江西理工大学 | Intelligent oncomelania and oncomelania living environment monitoring system based on wireless sensor network |
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 |
CN106375940A (en) * | 2016-08-29 | 2017-02-01 | 北京农业信息技术研究中心 | Agricultural perception data sparse vector acquiring and space coupling method |
CN107462289A (en) * | 2017-09-30 | 2017-12-12 | 韦彩霞 | A kind of water quality safety monitoring system |
CN108171956A (en) * | 2018-03-03 | 2018-06-15 | 深圳凯达通光电科技有限公司 | A kind of power transformer environmental monitoring system based on big data and WSN technology |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109115498A (en) * | 2018-10-17 | 2019-01-01 | 东莞青柳新材料有限公司 | Machine bearing vibration data acquires in real time and analysis system |
CN109347952A (en) * | 2018-10-17 | 2019-02-15 | 深圳众宝城贸易有限公司 | Rotary equipment bearings abnormal vibration intelligent prompt system |
CN109115499A (en) * | 2018-10-19 | 2019-01-01 | 广州益牛科技有限公司 | Equipment bearing vibration data intelligence is capable of real-time acquisition and analysis system |
CN109239804A (en) * | 2018-10-19 | 2019-01-18 | 深圳美特优科技有限公司 | The acquisition of maritime meteorology information intelligent and real-time broadcasting system |
CN109120832A (en) * | 2018-10-22 | 2019-01-01 | 泉州兴哲商贸有限公司 | Equipment bearing vibration data acquires in real time and analysis system |
CN109211569A (en) * | 2018-10-25 | 2019-01-15 | 广州益牛科技有限公司 | Machine bearing vibrates intelligent monitor system |
CN109238716A (en) * | 2018-11-08 | 2019-01-18 | 深圳众宝城贸易有限公司 | A kind of mechanical bearing abnormality detection system of real-time intelligent |
CN109238716B (en) * | 2018-11-08 | 2020-04-28 | 乔崴进(安徽)科技有限公司 | Real-time intelligent mechanical bearing abnormity detection system |
CN109443770A (en) * | 2018-12-03 | 2019-03-08 | 深圳众宝城贸易有限公司 | A kind of mechanical bearing abnormal vibration detection system of real-time intelligent |
CN109443770B (en) * | 2018-12-03 | 2019-11-26 | 慈溪市由由轴承有限公司 | A kind of mechanical bearing abnormal vibration detection system of real-time intelligent |
Also Published As
Publication number | Publication date |
---|---|
CN108645619B (en) | 2020-05-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108645619A (en) | Mechanical bearing vibrates intelligent monitor system | |
CN109168199B (en) | Longspan Bridge health status monitoring device | |
CN107807288B (en) | Transformer DC magnetic bias on-line monitoring system | |
CN109115948A (en) | Urban air pollution object concentration over-standard early warning system | |
CN109219010A (en) | Controller switching equipment state intelligent monitoring system | |
CN108986414A (en) | Slope geological intelligent monitoring prior-warning device | |
CN108154669A (en) | Intelligent monitoring system for bridge | |
JP4183871B2 (en) | Load balancing method and apparatus | |
CN109600728A (en) | A kind of method of data capture, apparatus and system | |
CN109194715A (en) | Hydraulic engineering seepage flow intelligent monitor system | |
CN108827387B (en) | Mechanical equipment intelligent real time monitoring system | |
CN102750229B (en) | Buffer space configuration method and device | |
CN103929778B (en) | Data staging transmission method | |
CN108897280A (en) | Monitoring system for numerical control machine based on technology of Internet of things | |
CN109121226A (en) | Longspan Bridge structural damage intelligent monitoring device | |
CN109035731A (en) | Bear vibration intelligent radio monitoring device | |
CN109040216A (en) | Transmission line of electricity intelligent wireless monitors system | |
CN108922124A (en) | Ocean organic pollutant information acquisition system | |
CN109238716B (en) | Real-time intelligent mechanical bearing abnormity detection system | |
CN108989415A (en) | Mechanical bearing vibrates intelligent real time monitoring system | |
CN102752200A (en) | Network energy-saving method and device | |
CN109405882A (en) | Longspan Bridge health status monitoring device | |
CN108801365A (en) | Dyeing apparatus antitheft security system | |
CN109120455A (en) | Electrical fault intelligent diagnosis system | |
CN109115498A (en) | Machine bearing vibration data acquires in real time and analysis system |
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 | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20200417 Address after: 314200 floor 1, inner North building, No.111 Jiulong Road, Caoqiao street, Pinghu City, Jiaxing City, Zhejiang Province Applicant after: Zhejiang Fuku Industrial Technology Co., Ltd Address before: 518000 room 713, block A, 1, Hongfa District, Gongming office, Shenzhen, Guangdong. Applicant before: SHENZHEN DATU KECHUANG TECHNOLOGY DEVELOPMENT Co.,Ltd. |
|
TA01 | Transfer of patent application right | ||
GR01 | Patent grant | ||
GR01 | Patent grant |