CN205427152U - Embedded threephase asynchronous machine failure diagnosis device that combines together with wireless sensor network - Google Patents
Embedded threephase asynchronous machine failure diagnosis device that combines together with wireless sensor network Download PDFInfo
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- CN205427152U CN205427152U CN201521000391.3U CN201521000391U CN205427152U CN 205427152 U CN205427152 U CN 205427152U CN 201521000391 U CN201521000391 U CN 201521000391U CN 205427152 U CN205427152 U CN 205427152U
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- threephase asynchronous
- asynchronous machine
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Abstract
The utility model discloses an embedded threephase asynchronous machine failure diagnosis device that combines together with wireless sensor network, including surveillance center's computer, main control unit, wireless monitoring terminal node, pickup assembly, warning and executive module, cloud ware and smartphone terminal, the main control unit comprises the embedded intelligent gateway and the zigbee coordinator module that are connected, the main control unit passes through embedded intelligent gateway respectively with surveillance center's computer with wireless monitoring terminal node communication connection, zigbee coordinator module is passed through embedded intelligent gateway with the cloud ware with smartphone terminal carries out long -range radio communication, intelligent gateway adopts long -range wireless communication of P2P and cloud ware to carry out remote radio communication. In this way, the utility model discloses the control rate of accuracy is high, in time pinpoints the problems rapidly, reduces the operate miss of artifical inspection, uses manpower sparingly, has improved work efficiency.
Description
Technical field
This utility model relates to a kind of threephase asynchronous machine trouble-shooter, particularly relates to a kind of embedded threephase asynchronous machine trouble-shooter combined with wireless sense network.
Background technology
Threephase asynchronous machine is widely used in all trades and professions, can normally, smoothly work in order to ensure threephase asynchronous machine, accurately judge the most common failure that its one or more being likely to occur are likely to occur, to fixing a breakdown, it is the most necessary for safeguarding that it normally works, if be detected that motor breaks down, first one or more faults being likely to occur are judged according to the neural network learning machine in embedded chip ARM9, and the fault judged according to learning machine carries out the maintenance of motor, maintenance, it it is urgent problem in threephase asynchronous machine application.
Utility model content
This utility model is mainly solving the technical problems that provide a kind of embedded threephase asynchronous machine trouble-shooter combined with wireless sense network, the monitoring accuracy rate of this device is high, real-time, reduces the operating error of hand inspection, save manpower, improve work efficiency.
nullFor solving above-mentioned technical problem,The technical scheme that this utility model uses is: provide a kind of embedded threephase asynchronous machine trouble-shooter combined with wireless sense network,Including Surveillance center's computer、Main control unit、Wireless monitoring terminal node、Sensor cluster、Report to the police and executive module、Cloud Server and intelligent mobile phone terminal,Described sensor cluster is connected with described wireless monitoring terminal node with executive module respectively with described warning,Described main control unit is made up of the embedded intelligence gateway being connected and Zigbee coordinator module,Described embedded intelligence gateway includes 32 embedded chip ARM9,Described main control unit is connected with described Surveillance center computer and described wireless monitoring terminal node communication respectively by described embedded intelligence gateway,Described Zigbee coordinator module carries out remote radio communication by described embedded intelligence gateway and described Cloud Server with described intelligent mobile phone terminal,Described intelligent gateway uses P2P remote radio communication mode and Cloud Server to carry out remote-wireless communication.
In one preferred embodiment of this utility model, described wireless monitoring terminal node, Zigbee coordinator module, embedded intelligence gateway, Surveillance center's computer and intelligent mobile phone terminal are attached by P2P remote radio communication.
In one preferred embodiment of this utility model, described main control unit uses near radio data based on ZigBee technology transmission and remote-wireless data-transmission mode based on P2P technology to combine, described Zigbee coordinator module uses the mode of serial communication to be transferred to described embedded intelligence gateway, and described embedded intelligence gateway is transferred to Surveillance center's computer by P2P remote radio communication mode.Described Zigbee coordinator module is connected with P2P remote radio communication mode and described intelligent mobile phone terminal with described Cloud Server by described embedded intelligence gateway.
In one preferred embodiment of this utility model, described wireless monitoring terminal node is one or more, and described each wireless monitoring terminal node is respectively placed on described different threephase asynchronous machine.
In one preferred embodiment of this utility model, described sensor cluster includes one or more in voltage sensor, current sensor, the input voltage of threephase asynchronous machine described in described voltage sensor senses, described current sensor detects the electric current of described threephase asynchronous machine.
The beneficial effects of the utility model are: the embedded threephase asynchronous machine trouble-shooter combined with wireless sense network of the present utility model, the numerical value of the voltage of one group of rotor, electric current can be recorded the most at set intervals, and be transferred in the ARM9 chip of main control unit by Zigbee coordinator module, neural network algorithm is used to judge whether motor breaks down, and that most common failure occurs, this algorithm, after improving, can measure two kinds of most common failures simultaneously.The position of the threephase asynchronous machine of fault can be defined according still further to the numbering of Zigbee terminal node on threephase asynchronous machine.This assembly monitor accuracy rate is high, pinpoints the problems the most rapidly, reduces the operating error of hand inspection, saves manpower, improves work efficiency.It is the most effective technological means that carry out fault detect and unified management of the multiple threephase asynchronous machines simultaneously run to remote distributed.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme in this utility model embodiment, in describing embodiment below, the required accompanying drawing used is briefly described, apparently, accompanying drawing in describing below is only embodiments more of the present utility model, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings, wherein:
Fig. 1 is the structured flowchart of a preferred embodiment of this utility model threephase asynchronous machine trouble-shooter.
Detailed description of the invention
Technical scheme in this utility model embodiment will be clearly and completely described below, it is clear that described embodiment is only a part of embodiment of the present utility model rather than whole embodiments.Based on the embodiment in this utility model, all other embodiments that those of ordinary skill in the art are obtained under not making creative work premise, broadly fall into the scope of this utility model protection.
As it is shown in figure 1, this utility model embodiment includes:
A kind of embedded threephase asynchronous machine trouble-shooter combined with wireless sense network, including Surveillance center's computer, main control unit, wireless monitoring terminal node, sensor cluster, warning and executive module, Cloud Server, intelligent mobile phone terminal and monitored threephase asynchronous machine.
Described sensor cluster is connected with described wireless monitoring terminal node with executive module respectively with described warning, described main control unit is made up of the embedded intelligence gateway being connected and Zigbee coordinator module, described embedded intelligence gateway includes 32 embedded chip ARM9, described main control unit is connected with described Surveillance center computer and described wireless monitoring terminal node communication respectively by described embedded intelligence gateway, described Zigbee coordinator module carries out remote radio communication by described embedded intelligence gateway and described Cloud Server with described intelligent mobile phone terminal, described intelligent gateway uses P2P remote radio communication mode and Cloud Server to carry out remote-wireless communication.
In above-mentioned, described main control unit includes that Zigbee coordinator module and embedded intelligence gateway, described wireless monitoring terminal node, Zigbee coordinator module, embedded intelligence gateway, Surveillance center's computer and intelligent mobile phone terminal are attached by P2P remote radio communication.
Further, described main control unit uses near radio data based on ZigBee technology transmission and remote-wireless data-transmission mode based on P2P technology to combine, described wireless monitoring terminal node passes information to described Zigbee coordinator module, the most described Zigbee coordinator module uses the mode of serial communication to transmit information to described intelligent gateway remote communication module, and described intelligent gateway remote communication module is transferred to Surveillance center's computer by P2P communication.Described coordinator is connected with P2P remote radio communication pattern and described intelligent mobile phone terminal with described Cloud Server by described intelligent gateway.
In the present embodiment, described embedded intelligence gateway use embedded chip ARM9 as core cell, existing computational analysis function, also have communication function, be the bridge that couples together with outer net of Zigbee territory net.Zigbee coordinator module is responsible for initiating and organizing a wireless sense network for observing and controlling, inside main control unit, Zigbee coordinator mould and intelligent gateway carry out serial communication, intelligent gateway is utilized to use the pattern of P2P remote radio communication, overcome the drawback that the wireless sense network transmission range being made up of Zigbee coordinator module is short, can directly and Surveillance center's computer carries out remote radio communication, it is possible to intelligent mobile terminal communications such as mobile phones.It is very easy to user's management, improves the technology content of product.
Described main control unit carries out remote-wireless data communication with described Surveillance center computer and described wireless monitoring terminal node by described Cloud Server simultaneously.Embedded intelligence gateway in described main control unit is connected with the Zigbee coordinator module in main control unit, the data message of wireless monitoring terminal node can be obtained, embedded intelligence gateway carries out remote-wireless communication by P2P with Cloud Server, described Cloud Server carries out data transmission with described intelligent mobile phone terminal, can realize wireless monitoring terminal node and carry out remote-wireless data communication with intelligent mobile phone terminal.Described sensor cluster is connected with described wireless monitoring terminal node with executive module respectively with described warning.So, by Surveillance center's computer and mobile phone terminal two ways, different threephase asynchronous machines can be carried out colony's monitoring.
Described wireless monitoring terminal node is one or more, and described each wireless monitoring terminal node is respectively placed on described different threephase asynchronous machine.Wherein, described sensor cluster includes one or more in voltage sensor, current sensor, the input voltage of threephase asynchronous machine described in described voltage sensor senses, and described current sensor detects the electric current of described threephase asynchronous machine.Meanwhile, described sensor cluster cycle detection voltage, current parameters at times, often in the group numerical value acp chip ARM9 as characteristic vector input intelligent gateway, use neural network algorithm to carry out one or more most common failure identifications.Fault once detected, directly initiate warning and report to the police with the performance element in executive module, the threephase asynchronous machine broken down is carried out fault type simultaneously and shows and shutdown process.
One or more of motor most common failure, by the ARM9 chip in intelligent gateway, can be analyzed, judge, look for out of order root by a kind of embedded threephase asynchronous machine trouble-shooter combined with wireless sense network of the present utility model.This assembly monitor accuracy rate is high, and cooling the most rapidly, improves work efficiency, remote and scattered threephase asynchronous machine can be carried out fault diagnosis and identification.
In sum, the embedded threephase asynchronous machine trouble-shooter combined with wireless sense network of the present utility model, the numerical value of the voltage of one group of rotor, electric current can be recorded the most at set intervals, and be transferred in the ARM9 chip of main control unit by Zigbee coordinator module, neural network algorithm is used to judge whether motor breaks down, and that most common failure occurs, this algorithm, after improving, can measure two kinds of most common failures simultaneously.The position of the threephase asynchronous machine of fault can be defined according still further to the numbering of Zigbee terminal node on threephase asynchronous machine, this assembly monitor accuracy rate is high, pinpoint the problems rapidly in time, reduce the operating error of hand inspection, save manpower, improve work efficiency, be the most effective technological means that carry out fault detect and unified management of the multiple threephase asynchronous machines simultaneously run to remote distributed.
The foregoing is only embodiment of the present utility model; not thereby the scope of the claims of the present utility model is limited; every equivalent structure utilizing this utility model description to be made or equivalence flow process conversion; or directly or indirectly it is used in other relevant technical field, the most in like manner it is included in scope of patent protection of the present utility model.
Claims (5)
- null1. the embedded threephase asynchronous machine trouble-shooter combined with wireless sense network,It is characterized in that,Including Surveillance center's computer、Main control unit、Wireless monitoring terminal node、Sensor cluster、Report to the police and executive module、Cloud Server and intelligent mobile phone terminal,Described sensor cluster is connected with described wireless monitoring terminal node with executive module respectively with described warning,Described main control unit is made up of the embedded intelligence gateway being connected and Zigbee coordinator module,Described embedded intelligence gateway includes 32 embedded chip ARM9,Described main control unit is connected with described Surveillance center computer and described wireless monitoring terminal node communication respectively by described embedded intelligence gateway,Described Zigbee coordinator module carries out remote radio communication by described embedded intelligence gateway and described Cloud Server with described intelligent mobile phone terminal,Described intelligent gateway uses P2P remote radio communication mode and Cloud Server to carry out remote-wireless communication.
- Threephase asynchronous machine trouble-shooter the most according to claim 1, it is characterized in that, described wireless monitoring terminal node, Zigbee coordinator module, embedded intelligence gateway, Surveillance center's computer and intelligent mobile phone terminal are attached by P2P remote radio communication.
- Threephase asynchronous machine trouble-shooter the most according to claim 2, it is characterized in that, described main control unit uses near radio data based on ZigBee technology transmission and remote-wireless data-transmission mode based on P2P technology to combine, described Zigbee coordinator module uses the mode of serial communication to be transferred to described embedded intelligence gateway, described embedded intelligence gateway is transferred to Surveillance center's computer by P2P remote radio communication mode, described Zigbee coordinator module is connected with P2P remote radio communication mode and described intelligent mobile phone terminal with described Cloud Server by described embedded intelligence gateway.
- Threephase asynchronous machine trouble-shooter the most according to claim 1, it is characterised in that described wireless monitoring terminal node is one or more, described each wireless monitoring terminal node is respectively placed on described threephase asynchronous machine.
- Threephase asynchronous machine trouble-shooter the most according to claim 1, it is characterized in that, described sensor cluster includes one or more in voltage sensor, current sensor, the input voltage of threephase asynchronous machine described in described voltage sensor senses, described current sensor detects the electric current of described threephase asynchronous machine.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN105527569A (en) * | 2015-12-07 | 2016-04-27 | 苏州科技学院 | Embedded three-phase asynchronous motor fault diagnosis device with combination of wireless sensing network |
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CN105527569A (en) * | 2015-12-07 | 2016-04-27 | 苏州科技学院 | Embedded three-phase asynchronous motor fault diagnosis device with combination of wireless sensing network |
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Granted publication date: 20160803 Termination date: 20161207 |
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