CN103558819A - Slicing machine fault diagnosis system - Google Patents
Slicing machine fault diagnosis system Download PDFInfo
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- CN103558819A CN103558819A CN201310517701.8A CN201310517701A CN103558819A CN 103558819 A CN103558819 A CN 103558819A CN 201310517701 A CN201310517701 A CN 201310517701A CN 103558819 A CN103558819 A CN 103558819A
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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
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- 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]
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Abstract
The invention discloses a slicing machine fault diagnosis system. The slicing machine fault diagnosis system is characterized in that the slicing machine fault diagnosis system comprises a plurality of splicing machines, a plurality of monitoring terminals, a monitoring main machine, a cloud detection server, a maintenance terminal and a mobile terminal, each splicing machine is connected with the corresponding monitoring terminal, the monitoring terminals conduct detection to obtain running parameters of the splicing machines and send the running parameters to the monitoring main machine, the monitoring main machine gathers and processes data sent by each monitoring terminal and then sends processed data to the cold detection server, the cloud detection server conducts fault analysis on the running parameters of each splicing machine and generates fault information, the maintenance terminal is connected with the cloud detection server to obtain the fault information and the running parameters of the splicing machines and sends maintenance data to the monitoring main machine through the could detection server, and the mobile terminal is connected with the cloud detection server to obtain the fault information. According to the slicing machine fault diagnosis system, remote diagnosis and real-time monitoring of the faults of the splicing machines can be achieved, and the slicing machine fault diagnosis system is high in diagnosis efficiency, high in speed and good in effect.
Description
Technical field
The present invention relates to a kind of fault diagnosis system, be specifically related to a kind of microtome fault diagnosis system.
Background technology
Existing microtome running status generally all needs special messenger at the scene to guard.If run in the time that parameter need to being regulated, need to regulate at the scene parameter.Because regulating, parameter generally need to have the people that experience is abundant to operate, but still unavoidably produce fault, existing microtome diagnosis more needs professional to operate diagnosis, even because some glitch that misoperation causes, for fear of device damage, also need professional to be on the scene and carry out execute-in-place diagnosis, equipment, just in run-stopping status, can increase production cost and maintenance cost so greatly during this period of time.And in existing enterprise, be generally that many microtomes carry out cutting operation simultaneously, because microtome is expensive, therefore every microtome all needs someone to carry out its running status of manual monitoring, but due to artificial restriction, even if there is extremely also easily carelessness in running status, often until break down and just found, and the change of running status also easily causes cutting operation to produce precision to change, and prior art can only be carried out artificial experience judgement to this.
Summary of the invention
For solving the deficiencies in the prior art, the object of the present invention is to provide a kind of microtome fault diagnosis system.
In order to realize above-mentioned target, the present invention adopts following technical scheme:
A kind of microtome fault diagnosis system, it is characterized in that, comprise many microtomes, many monitor terminal machines, monitoring exchange, server is detected in high in the clouds, maintenance terminal, mobile terminal, every equal correspondence of microtome is connected with a monitor terminal machine, described monitor terminal machine testing obtains the operational factor of microtome and operational factor is sent to monitoring exchange, after the data aggregation process that monitoring exchange sends every monitor terminal machine, send to high in the clouds to detect server, high in the clouds is detected server the operational factor of every microtome is carried out to fault analysis, and generate failure message, maintenance terminal connects high in the clouds and detects server to obtain the operational factor of failure message and microtome, and mantenance data is detected to server by high in the clouds sends to monitoring exchange, mobile terminal connects high in the clouds and detects server to obtain failure message.
Aforesaid a kind of microtome fault diagnosis system, it is characterized in that, described high in the clouds is detected server and is comprised fault data administration module, high in the clouds interface module, high in the clouds detection module and fault pre-alarming module, described high in the clouds interface module gathers the operational factor of microtome, and be saved in described fault data administration module, described high in the clouds detection module carries out analyzing and processing to the operational factor of microtome, and generating described failure message, described fault pre-alarming module pushes to mobile terminal and maintenance terminal by network by described failure message.
Aforesaid a kind of microtome fault diagnosis system, it is characterized in that, described maintenance terminal comprises fault detection analysis module, the first audio frequency load module, the first audio frequency output module, the first communication module, the first processing module, the first memory module, and described the first processing module connects respectively fault detection analysis module, the first audio frequency load module, the first audio frequency output module, the first communication module, the first memory module.
Aforesaid a kind of microtome fault diagnosis system, it is characterized in that, described monitor terminal machine comprises data acquisition module, the second audio frequency load module, the second audio frequency output module, the second communication module, the second processing module, the second memory module, and described the second processing module is connection data acquisition module, the second audio frequency load module, the second audio frequency output module, the second communication module, the second memory module respectively.
Aforesaid a kind of microtome fault diagnosis system, is characterized in that, described mobile terminal is smart mobile phone.
Aforesaid a kind of microtome fault diagnosis system, is characterized in that, also comprises connection and communication bus, and described monitor terminal machine is connected with microtome corresponding thereto, and monitor terminal machine is connected with communication bus by connection, and communication bus connects monitoring exchange.
Usefulness of the present invention is: a kind of microtome fault diagnosis system of the present invention can realize the remote diagnosis of the fault of many microtomes and monitoring in real time, and diagnosis efficiency is high, and speed is fast, effective.
Accompanying drawing explanation
Fig. 1 is a structural representation of preferably implementing of the present invention;
Fig. 2 the present invention is based on Fig. 1 structural representation more specifically.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is done to concrete introduction.
Shown in Fig. 1, a kind of microtome fault diagnosis system of the present invention, comprise many microtomes, many monitor terminal machines, monitoring exchange, server is detected in high in the clouds, maintenance terminal, mobile terminal, every equal correspondence of microtome is connected with a monitor terminal machine, monitor terminal machine testing obtains the operational factor of microtome and operational factor is sent to monitoring exchange, after the data aggregation process that monitoring exchange sends every monitor terminal machine, send to high in the clouds to detect server, high in the clouds is detected server the operational factor of every microtome is carried out to fault analysis, and generate failure message, maintenance terminal connects high in the clouds and detects server to obtain the operational factor of failure message and microtome, and mantenance data is detected to server by high in the clouds sends to monitoring exchange, mobile terminal connects high in the clouds and detects server to obtain failure message.
The present invention adopts monitor terminal machine to connect microtome, every microtome is to there being a monitor terminal machine, monitor terminal machine gathers the equipment operational factor of microtome, operational factor is transferred to monitoring exchange simultaneously, after the data aggregation process that monitoring exchange sends every monitor terminal machine, send to high in the clouds to detect server, high in the clouds is detected server the operational factor of microtome is carried out to fault analysis, under normal circumstances, microtome normal operation, therefore after detection server in high in the clouds is analyzed its operational factor, fault can not detected, therefore can't send the operational factor of failure message and microtome to maintenance terminal, can not send failure message to detecting mobile terminal yet, to save network traffic data.When microtome operation troubles, or running status occurs when abnormal, after high in the clouds detection server is analyzed its operational factor, fault or running status can be detected occurs abnormal, fault in production information now, and the operational factor of failure message and microtome is sent to maintenance terminal, and failure message is sent to mobile terminal.Maintenance personal connects high in the clouds by maintenance terminal and detects server to obtain the operational factor of failure message and microtome, and mantenance data is detected to server by high in the clouds sends to monitoring exchange.Thus, a kind of fault diagnosis system of cutting into slices of the present invention can realize the remote diagnosis to section fault, and owing to having adopted cloud network technology, diagnosis efficiency is high, and speed is fast, effective.
Introduce in detail high in the clouds below and detect server, as shown in Figure 2, high in the clouds is detected server and is comprised fault data administration module, high in the clouds interface module, high in the clouds detection module and fault pre-alarming module, high in the clouds interface module gathers the operational factor of microtome, and be saved in fault data administration module, high in the clouds detection module carries out analyzing and processing to the operational factor of microtome, and generates failure message, and fault pre-alarming module pushes to mobile terminal and maintenance terminal by network by failure message.
Below introduce in detail monitoring exchange, monitoring exchange comprises the 3rd processing module, the 3rd communication module, the 3rd memory module, the 3rd processing module connects respectively the 3rd communication module, the 3rd memory module.
Introduce in detail maintenance terminal below, maintenance terminal comprises fault detection analysis module, the first audio frequency load module, the first audio frequency output module, the first communication module, the first processing module, the first memory module, and the first processing module connects respectively fault detection analysis module, the first audio frequency load module, the first audio frequency output module, the first communication module, the first memory module.
Introduce in detail monitor terminal machine below, monitor terminal machine comprises data acquisition module, the second audio frequency load module, the second audio frequency output module, the second communication module, the second processing module, the second memory module, and the second processing module is connection data acquisition module, the second audio frequency load module, the second audio frequency output module, the second communication module, the second memory module respectively.
The first audio frequency load module is here for when maintenance personal overhauls, by the first audio frequency load module, input its voice, by high in the clouds, detect server and send to monitor terminal machine through monitoring exchange, the second audio frequency output module of monitor terminal machine just can obtain repair prompt.Similarly, the field staff of monitor terminal machine can send to maintenance terminal by its problem by voice by the second audio frequency load module, and the first audio frequency output module of maintenance terminal can send its voice.Be convenient to like this field staff and maintenance personal's communication.In other modules, the first memory module is responsible for storing mantenance data, and the first processing module is for the treatment of data, and the first communication module is for the communication with high in the clouds detection server, and fault detection analysis module is for fault analysis.Similarly, the second communication module detects the communication of server for monitor terminal machine and high in the clouds, the detection data of the second memory module for storing microtome, and the second processing module is for data processing, and data acquisition module is for gathering the service data of microtome.Similarly, the 3rd processing module is responsible for processing the data of monitoring exchange, and the 3rd communication module is responsible for receiving the data that send from monitor terminal, and sends the data to that server is detected in high in the clouds, the 3rd memory module is responsible for storing data.
In the present invention, because microtome is many, therefore the running state information of microtome is passed in the process of monitoring exchange again by monitor terminal machine, generally can produce larger data processing amount, in order to strengthen the efficiency of data processing, the present invention also comprises connection and communication bus, and monitor terminal machine is connected with microtome corresponding thereto, monitor terminal machine is connected with communication bus by connection, and communication bus connects monitoring exchange.Like this, the microtome running state information corresponding thereto that connection is just responsible for every monitor terminal machine to collect is transferred to communication bus, then is responsible for the running state data of all microtomes to integrate by communication bus, is transferred to monitoring exchange.
The present invention does not limit the particular type of the running state information of the microtome that monitor terminal machine obtains, and its type can be carried out with reference to the technical manual of existing various microtomes.
Mobile terminal of the present invention is held by maintenance personal, and for remind maintenance personal when fault occurs, as preferably, mobile terminal is smart mobile phone.
More than show and described ultimate principle of the present invention, principal character and advantage.The technician of the industry should understand, and above-described embodiment does not limit the present invention in any form, and all employings are equal to replaces or technical scheme that the mode of equivalent transformation obtains, all drops in protection scope of the present invention.
Claims (6)
1. a microtome fault diagnosis system, it is characterized in that, comprise many microtomes, many monitor terminal machines, monitoring exchange, server is detected in high in the clouds, maintenance terminal, mobile terminal, every equal correspondence of microtome is connected with a monitor terminal machine, described monitor terminal machine testing obtains the operational factor of microtome and operational factor is sent to monitoring exchange, after the data aggregation process that monitoring exchange sends every monitor terminal machine, send to high in the clouds to detect server, high in the clouds is detected server the operational factor of every microtome is carried out to fault analysis, and generate failure message, maintenance terminal connects high in the clouds and detects server to obtain the operational factor of failure message and microtome, and mantenance data is detected to server by high in the clouds sends to monitoring exchange, mobile terminal connects high in the clouds and detects server to obtain failure message.
2. a kind of microtome fault diagnosis system according to claim 1, it is characterized in that, described high in the clouds is detected server and is comprised fault data administration module, high in the clouds interface module, high in the clouds detection module and fault pre-alarming module, described high in the clouds interface module gathers the operational factor of microtome, and be saved in described fault data administration module, described high in the clouds detection module carries out analyzing and processing to the operational factor of microtome, and generating described failure message, described fault pre-alarming module pushes to mobile terminal and maintenance terminal by network by described failure message.
3. a kind of microtome fault diagnosis system according to claim 2, it is characterized in that, described maintenance terminal comprises fault detection analysis module, the first audio frequency load module, the first audio frequency output module, the first communication module, the first processing module, the first memory module, and described the first processing module connects respectively fault detection analysis module, the first audio frequency load module, the first audio frequency output module, the first communication module, the first memory module.
4. a kind of microtome fault diagnosis system according to claim 3, it is characterized in that, described monitor terminal machine comprises data acquisition module, the second audio frequency load module, the second audio frequency output module, the second communication module, the second processing module, the second memory module, and described the second processing module is connection data acquisition module, the second audio frequency load module, the second audio frequency output module, the second communication module, the second memory module respectively.
5. a kind of microtome fault diagnosis system according to claim 4, is characterized in that, described mobile terminal is smart mobile phone.
6. a kind of microtome fault diagnosis system according to claim 5, it is characterized in that, also comprise connection and communication bus, described monitor terminal machine is connected with microtome corresponding thereto, monitor terminal machine is connected with communication bus by connection, and communication bus connects monitoring exchange.
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| CN201310517701.8A CN103558819A (en) | 2013-10-29 | 2013-10-29 | Slicing machine fault diagnosis system |
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| CN201310517701.8A CN103558819A (en) | 2013-10-29 | 2013-10-29 | Slicing machine fault diagnosis system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104991501A (en) * | 2015-07-12 | 2015-10-21 | 石永丽 | Instrument remote fault diagnosis system based on internet of things and cloud computing |
| CN105677554A (en) * | 2016-02-24 | 2016-06-15 | 上海和鹰机电科技股份有限公司 | Remote maintaining method based on internet platform |
| CN108173887A (en) * | 2016-12-05 | 2018-06-15 | 上海飞曼医疗科技有限公司 | A kind of remote fault diagnosis method of medical bed |
| CN112787871A (en) * | 2021-03-04 | 2021-05-11 | 沈阳中合智网信息技术有限公司 | Multi-device communication fault remote detection method |
| CN113570077A (en) * | 2021-06-30 | 2021-10-29 | 摩氢科技有限公司 | Fault diagnosis system for methanol reforming fuel cell power station |
-
2013
- 2013-10-29 CN CN201310517701.8A patent/CN103558819A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104991501A (en) * | 2015-07-12 | 2015-10-21 | 石永丽 | Instrument remote fault diagnosis system based on internet of things and cloud computing |
| CN105677554A (en) * | 2016-02-24 | 2016-06-15 | 上海和鹰机电科技股份有限公司 | Remote maintaining method based on internet platform |
| CN108173887A (en) * | 2016-12-05 | 2018-06-15 | 上海飞曼医疗科技有限公司 | A kind of remote fault diagnosis method of medical bed |
| CN112787871A (en) * | 2021-03-04 | 2021-05-11 | 沈阳中合智网信息技术有限公司 | Multi-device communication fault remote detection method |
| CN113570077A (en) * | 2021-06-30 | 2021-10-29 | 摩氢科技有限公司 | Fault diagnosis system for methanol reforming fuel cell power station |
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Application publication date: 20140205 |