CN105467949A - Crane remote monitoring and intelligent maintenance system based on IOT and DSP - Google Patents
Crane remote monitoring and intelligent maintenance system based on IOT and DSP Download PDFInfo
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- CN105467949A CN105467949A CN201510255534.3A CN201510255534A CN105467949A CN 105467949 A CN105467949 A CN 105467949A CN 201510255534 A CN201510255534 A CN 201510255534A CN 105467949 A CN105467949 A CN 105467949A
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- 238000012423 maintenance Methods 0.000 title claims abstract description 40
- 238000012544 monitoring process Methods 0.000 title claims abstract description 18
- 238000012360 testing method Methods 0.000 claims abstract description 13
- 230000005540 biological transmission Effects 0.000 claims description 18
- 238000000034 method Methods 0.000 claims description 18
- 238000004458 analytical method Methods 0.000 claims description 16
- 238000004891 communication Methods 0.000 claims description 15
- 238000003745 diagnosis Methods 0.000 claims description 10
- 238000000605 extraction Methods 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 7
- 238000007405 data analysis Methods 0.000 claims description 5
- 230000015556 catabolic process Effects 0.000 claims description 3
- 238000006731 degradation reaction Methods 0.000 claims description 3
- 230000010365 information processing Effects 0.000 claims description 3
- 230000002463 transducing effect Effects 0.000 claims description 3
- 238000013461 design Methods 0.000 abstract description 4
- 238000001514 detection method Methods 0.000 abstract description 3
- 238000009434 installation Methods 0.000 abstract description 3
- 238000005457 optimization Methods 0.000 description 4
- 238000012549 training Methods 0.000 description 3
- 230000002093 peripheral effect Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000012706 support-vector machine Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
- G05B19/41855—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication by local area network [LAN], network structure
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
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- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Selective Calling Equipment (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention discloses a crane remote monitoring and intelligent maintenance system based on an IOT and a DSP. The system is formed by the connection of a sensor group, an industrial wireless network, a test and control servers, a remote data service center, and an information receiving terminal device in order. The design and project amount can be greatly reduced, the installation cost is reduced, the DSP has the characteristics of fast computing speed, multiple data channels and high floating point operating precision, and the characteristics are very suitable for an industrial control system to carry out accurate detection and positioning.
Description
Technical field
The present invention relates to a kind of remote monitoring and intelligent maintenance system, particularly relate to a kind of based on Internet of Things and DSP(DigitalSignalProcessing, digital signal processing) crane remote monitoring and intelligent maintenance system.
Background technology
Conventional hoist is safeguarded by determine people, regularly, having fixed a point, and along with the scarcity of the riseing of human cost, particularly experienced manpower resource, it is more and more expensive that maintenance cost is manually carried out in dependence.In addition, the failure-frequency of equipment in whole life cycle is change, and especially in the early stage that equipment runs and later stage, equipment is more easily out of order, and the method for traditional timing can not be well crane service.Traditional maintenance is passive, is generally just to process after fault occurs, and this causes safety, shutdown cost, maintenance cost soaring.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of crane remote based on Internet of Things and DSP and monitors and intelligent maintenance system, and it can greatly reduce design and quantities, reduces installation cost; DSP has fast operation, and data channel is many, and peripheral hardware enriches, floating-point operation precision high, and these features are applicable to carrying out detection and positioning fast and accurately to industrial control system very much.
The present invention solves above-mentioned technical matters by following technical proposals: a kind of crane remote based on Internet of Things and DSP is monitored and intelligent maintenance system, it is characterized in that, it is made up of the sensor group connected successively, industry wireless network, test and Control Server, remote date transmission center, information receiving terminal equipment.
Preferably, described sensor group is converted into electric signal unified for transducing signal.
Preferably, described industry wireless network is made up of multiple Internet of things node, Internet of things node comprises data acquisition module, message processing module, communication module and energy module, and the electric signal that acquisition module is changed in pick-up transducers by A/D realizes on-the-spot perceptional function; Message processing module realizes the information processing function, and its Main Function is the extraction of effective information; Communication module realizes the transmission of information; Energy module realizes the Power supply function of radio node.
Preferably, described test and Control Server by the information of wireless industrial mode receiver from networked node, and pass to remote date transmission center by the mode of wire communication.
Preferably, described remote date transmission receive centre carrys out the data of self-test and Control Server, by status remote monitoring module, fault remote analysis and instruct module, intelligent maintenance module and large data analysis module to form; Status remote monitoring module collects the multimedia messages from Internet of Things, and the place of wanting of what is the need in office provides system standard picture, comprises the trend of important physical amount, alarm procedure picture, system state, diagnosis and safeguard picture, provides detailed catalogue picture to show; The video of integrated necessity, image; The dynamic instruction of standard; Fault remote analysis to be unified decision model based on data base set with instructing module, predict device critical component performance degradation trend, carry out fault pre-alarming and identification, the analysis of crane fault remote comprise the diagnosis prediction based on threshold value, the diagnosis prediction based on failure code, based on the method for data-driven and the method for expert's remote fault analysis; Intelligent maintenance module based on the history data of equipment and current operating conditions, according to the actual maintenance needs of crane emphasis equipment.
Positive progressive effect of the present invention is: the present invention can greatly reduce design and quantities by industry wireless network, reduces installation cost; DSP has fast operation, and data channel is many, and peripheral hardware enriches, floating-point operation precision high, and these features are applicable to carrying out detection and positioning fast and accurately to industrial control system very much.Based on the crane object remote monitoring of large data and DSP and intelligent maintenance by becoming passive service into taking the initiative in offering a hand, process device efficiency can be improved, reduce maintenance cost, and meeting higher safety requirements.
Accompanying drawing explanation
Fig. 1 the present invention is based on the crane remote monitoring of Internet of Things and DSP and the theory diagram of intelligent maintenance system.
Embodiment
Present pre-ferred embodiments is provided, to describe technical scheme of the present invention in detail below in conjunction with accompanying drawing.
As shown in Figure 1, the crane remote monitoring that the present invention is based on Internet of Things and DSP and intelligent maintenance system by the sensor group 10 be connected successively, industry wireless network 20, to test and Control Server 30, remote date transmission center 40, information receiving terminal equipment 50 form.
Sensor group 10 comprises the sensors such as electric transducer, optical sensor, Magnetic Sensor, sonic transducer, machinery, is converted into electric signal, so that the data acquisition module 211 in Internet of things node carries out A/D conversion unified for these transducing signals.
Industry wireless network 20 is made up of multiple Internet of things node 21, Internet of things node comprises data acquisition module 211, message processing module 212, communication module 213 and energy module 214, and the electric signal that acquisition module 211 is changed in pick-up transducers by A/D realizes on-the-spot perceptional function; Message processing module 212 realizes the information processing function, such as feature signal extraction, image procossing etc., and its Main Function is the extraction of effective information, also can be understood as information yojan; Communication module 213 realizes the transmission of information; Energy module 214 realizes the Power supply function of radio node.
Test and Control Server 30 by the information of wireless industrial mode receiver from networked node, and pass to remote date transmission center by the mode of wire communication.Test and Control Server are made up of data server and program servers, realize the short range monitoring of equipment, local fault analysis, intelligent maintenance and data analysis function, judge whether data send to remote date transmission center 40.
Remote date transmission center 40 receives the data of self-test and Control Server 30, by status remote monitoring module 41, fault remote analysis and instruct module 42, intelligent maintenance module 43 and greatly data analysis module 44 form; Status remote monitoring module 41 collects the multimedia messages from Internet of Things, and the place of wanting of what is the need in office provides system standard picture, comprises the trend of important physical amount, alarm procedure picture etc., system state, diagnosis and safeguard picture etc.; Detailed catalogue picture is provided to show; The video of integrated necessity, image; The dynamic instruction etc. of standard.Fault remote analysis to be unified decision model based on data base set with instructing module 42, predict device critical component performance degradation trend, carry out fault pre-alarming and identification, the analysis of crane fault remote comprise the diagnosis prediction based on threshold value, the diagnosis prediction based on failure code, based on the method for data-driven and the method for expert's remote fault analysis.Intelligent maintenance module 43 is based on the history data of equipment and current operating conditions, according to the actual maintenance needs of crane emphasis equipment, one or several maintenance target as self in the middle of the key elements such as the total cost rate of maintenance activity, risk, reliability and availability, set up corresponding intelligent maintenance decision optimization model, and by the unified allocation of resources to maintenance resources, provide the intelligent maintenance plan of equipment.Large data analysis module 44, on SQLServer or oracle database basis, carries out data mining analysis, performance prediction to it.Can obtain user's request information, configuration individual information, allocation models etc. from history repository and history log, effective acquisition of these knowledge and efficiency utilization significantly can improve efficiency and the innovation ability of product design, are conducive to products perfection upgrading.
Information receiving terminal equipment 50 comprises the information receiving terminal equipment 51 such as multi-media communication (as Internet network, Email, SMS), realizes the full spectrum information acquisition in any time, any place.
Industry wireless network is made up of numerous Internet of things node, the signal that sensor collects is transferred to via node through sensor node, between wireless industrial node, transmission range generally can not more than 100m, if transmission range exceedes wireless industrial node allow distance, can via node be increased, complete the safe transmission of information.Information, through via node, is transferred to base-station node, and base-station node realizes data with test and parametric controller wireless module and transmits.
Wireless industrial node searches best communication path automatically, and when network change, equipment is recombinated best communication path automatically; Network watch-keeping communication path, to check that possible communication performance declines and self-healing; Adaptation function provides reliably, the ability of easily extensible and configuration again; Support star or mesh topology.
Wireless network and the transparent and seamless data access of existing cable network; The connection of gateway adopts the industry communications protocol of standard.Conventional hoist is made up of cable network, wherein crane visual plant itself (such as frequency converter etc.) can provide monitoring and diagnosis information abundant in detail, so traditional industry control object is originally also extremely important by the information of wire transmission, wireless network and cable network realize seamless data access.
Because DSP cost is higher, only just use in the occasion of necessity, utilize the computing power of dsp chip, realize the monitoring of Industry Control object intelligent and safeguard.Sensor node, via node, base-station node can access DSP by serial ports.
Crane intelligent state estimation and fault recognition method comprise the steps: that training process adopts the historical data of marking arrangement state or fault type, sensor signal input is sampled through A/D, carry out feature extraction, adopt support vector machine method to carry out returning (corresponding device state estimation) and classification (corresponding Fault Identification) training after feature extraction, obtain model.Field data also via sensor, A/D sampling, input model after feature extraction, model output device state estimation or fault category.Training process can complete in test and Control Server 30 or remote date transmission center 40, and model transfers to Internet of things node.Other A/D sampling, feature extraction and forecasting process all can complete in Internet of things node.
The process that crane intelligent is safeguarded is as follows: equipment state and maintenance history via sensor and Internet of Things stored in Condition Monitoring Data storehouse and maintain historical data storehouse.On basis, Condition Monitoring Data storehouse, analytical equipment failure rate; Analysis and maintence effectiveness on basis, maintain historical data storehouse.Consider maintenance effectiveness and conditions for equipment use at mechanical floor, carry out visual plant multiple-objection optimization; Consider maintenance time in system layer, carry out many plant maintenances optimization.After decision optimization completes, in the operation of maintenance application aspect putting maintenance into practice, after safeguarding, carry out System Performance Analysis.
Above-described specific embodiment; the technical matters of solution of the present invention, technical scheme and beneficial effect are further described; be understood that; the foregoing is only specific embodiments of the invention; be not limited to the present invention; within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (5)
1. the crane remote based on Internet of Things and DSP is monitored and an intelligent maintenance system, and it is characterized in that, it is made up of the sensor group connected successively, industry wireless network, test and Control Server, remote date transmission center, information receiving terminal equipment.
2. monitor and intelligent maintenance system based on the crane remote of Internet of Things and DSP as claimed in claim 1, it is characterized in that, described sensor group is converted into electric signal unified for transducing signal.
3. monitor and intelligent maintenance system based on the crane remote of Internet of Things and DSP as claimed in claim 1, it is characterized in that, described industry wireless network is made up of multiple Internet of things node, Internet of things node comprises data acquisition module, message processing module, communication module and energy module, and the electric signal that acquisition module is changed in pick-up transducers by A/D realizes on-the-spot perceptional function; Message processing module realizes the information processing function, and its Main Function is the extraction of effective information; Communication module realizes the transmission of information; Energy module realizes the Power supply function of radio node.
4. monitor and intelligent maintenance system based on the crane remote of Internet of Things and DSP as claimed in claim 1, it is characterized in that, described test and Control Server by the information of wireless industrial mode receiver from networked node, and pass to remote date transmission center by the mode of wire communication.
5. monitor and intelligent maintenance system based on the crane remote of Internet of Things and DSP as claimed in claim 1, it is characterized in that, described remote date transmission receive centre carrys out the data of self-test and Control Server, by status remote monitoring module, fault remote analysis and instruct module, intelligent maintenance module and large data analysis module to form; Status remote monitoring module collects the multimedia messages from Internet of Things, and the place of wanting of what is the need in office provides system standard picture, comprises the trend of important physical amount, alarm procedure picture, system state, diagnosis and safeguard picture, provides detailed catalogue picture to show; The video of integrated necessity, image; The dynamic instruction of standard; Fault remote analysis to be unified decision model based on data base set with instructing module, predict device critical component performance degradation trend, carry out fault pre-alarming and identification, the analysis of crane fault remote comprise the diagnosis prediction based on threshold value, the diagnosis prediction based on failure code, based on the method for data-driven and the method for expert's remote fault analysis; Intelligent maintenance module based on the history data of equipment and current operating conditions, according to the actual maintenance needs of crane emphasis equipment.
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| CN106006385A (en) * | 2016-08-03 | 2016-10-12 | 湖南百特随车起重机有限公司 | Intelligent control system for Internet of things of lorry crane |
| CN106698197A (en) * | 2016-12-01 | 2017-05-24 | 上海振华重工电气有限公司 | System for online diagnosis and preventive maintenance of container crane based on big data |
| CN106780248A (en) * | 2016-11-29 | 2017-05-31 | 特斯联（北京）科技有限公司 | City internet of things equipment operation control system and method based on big data technology |
| CN108928744A (en) * | 2018-08-02 | 2018-12-04 | 深圳汇通智能化科技有限公司 | A kind of container crane inline diagnosis and maintenance system based on big data |
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101007616A (en) * | 2007-01-18 | 2007-08-01 | 上海交通大学 | Remote-control on-line monitoring system for universal movable crane |
| CN102515028A (en) * | 2011-12-09 | 2012-06-27 | 南京市特种设备安全监督检验研究院 | Crane safety operation monitoring system based on internet of things and monitoring method used therein |
| CN102662355A (en) * | 2012-02-08 | 2012-09-12 | 中铁科工集团有限公司 | Safety monitoring and managing model of large-tonnage carrying and installing equipment |
| CN103241658A (en) * | 2013-04-27 | 2013-08-14 | 广州市特种机电设备检测研究院 | Internet of Things-based health monitoring and security prewarning system of crane metal structure |
| CN103312758A (en) * | 2012-03-15 | 2013-09-18 | 中国特种设备检测研究院 | Spherical tank health monitoring system based on wireless sensing nodes |
| CN104079666A (en) * | 2014-07-18 | 2014-10-01 | 佛山市顺德区万博电子科技有限公司 | Crane and crane monitoring method, platform and system |
| CN104620268A (en) * | 2012-09-19 | 2015-05-13 | 科恩起重机有限公司 | Predictive maintenance method and system |
| CN104692251A (en) * | 2015-03-20 | 2015-06-10 | 黄细霞 | Remote crane monitoring and maintaining system based on internet of things |
-
2015
- 2015-05-19 CN CN201510255534.3A patent/CN105467949A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101007616A (en) * | 2007-01-18 | 2007-08-01 | 上海交通大学 | Remote-control on-line monitoring system for universal movable crane |
| CN102515028A (en) * | 2011-12-09 | 2012-06-27 | 南京市特种设备安全监督检验研究院 | Crane safety operation monitoring system based on internet of things and monitoring method used therein |
| CN102662355A (en) * | 2012-02-08 | 2012-09-12 | 中铁科工集团有限公司 | Safety monitoring and managing model of large-tonnage carrying and installing equipment |
| CN103312758A (en) * | 2012-03-15 | 2013-09-18 | 中国特种设备检测研究院 | Spherical tank health monitoring system based on wireless sensing nodes |
| CN104620268A (en) * | 2012-09-19 | 2015-05-13 | 科恩起重机有限公司 | Predictive maintenance method and system |
| CN103241658A (en) * | 2013-04-27 | 2013-08-14 | 广州市特种机电设备检测研究院 | Internet of Things-based health monitoring and security prewarning system of crane metal structure |
| CN104079666A (en) * | 2014-07-18 | 2014-10-01 | 佛山市顺德区万博电子科技有限公司 | Crane and crane monitoring method, platform and system |
| CN104692251A (en) * | 2015-03-20 | 2015-06-10 | 黄细霞 | Remote crane monitoring and maintaining system based on internet of things |
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| US11359146B2 (en) | 2013-12-31 | 2022-06-14 | Suncoke Technology And Development Llc | Methods for decarbonizing coking ovens, and associated systems and devices |
| US11795400B2 (en) | 2014-09-15 | 2023-10-24 | Suncoke Technology And Development Llc | Coke ovens having monolith component construction |
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| CN106780248A (en) * | 2016-11-29 | 2017-05-31 | 特斯联（北京）科技有限公司 | City internet of things equipment operation control system and method based on big data technology |
| CN106698197A (en) * | 2016-12-01 | 2017-05-24 | 上海振华重工电气有限公司 | System for online diagnosis and preventive maintenance of container crane based on big data |
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| CN111178674A (en) * | 2019-12-04 | 2020-05-19 | 中国特种设备检测研究院 | Industrial big data driven hoisting machinery health management and control service system |
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Application publication date: 20160406 |