CN205049941U - Ladle roaster trouble online diagnosis system - Google Patents
Ladle roaster trouble online diagnosis system Download PDFInfo
- Publication number
- CN205049941U CN205049941U CN201520811234.4U CN201520811234U CN205049941U CN 205049941 U CN205049941 U CN 205049941U CN 201520811234 U CN201520811234 U CN 201520811234U CN 205049941 U CN205049941 U CN 205049941U
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- data
- ladle baking
- baking facility
- fault diagnosis
- programmable logic
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Abstract
The utility model provides a ladle roaster trouble online diagnosis system helps realizing the on -line monitoring of ladle roaster. The system includes: the big data platform of programmable logic controler, data service ware and distributing type, programmable logic controler for gather the process data of ladle roaster, the data service ware is used for receiving the process data of the ladle roaster that programmable logic controler gathered, the big data platform of distributing type for the process data storage of received ladle roaster is in in the problem case library of the big data platform of distributing type, with every problem data in the problem case library with the similarity contrast is carried out to data in the historical case library of the big data platform of distributing type, and the fault type who corresponds the data in the biggest historical case library of similarity regards as the failure diagnosis result of this problem data, and will failure diagnosis propelling movement as a result goes out. Utility model is applicable to the monitoring technology field.
Description
Technical field
The utility model relates to monitoring technical field, refers to a kind of ladle baking facility on-line fault diagnosis system especially.
Background technology
In steelmaking process, molten steel is in the high temperature of about 1600 DEG C, and the ladle that rolls off the production line generally only has the temperature of hundreds of degrees Celsius, carries out prewarming baking if not prior to the ladle that rolls off the production line, make the temperature that its temperature reaches close with molten steel, being rapidly heated of molten steel can cause irreversible infringement to ladle.That is, in steelmaking process, ladle baking facility is responsible for the vital role of the empty ladle of preheating.Because ladle baking facility is more and use very frequent at each steel mill's station, break down unavoidably in use procedure, and fault has very strong hysteresis quality.
Generally, after only having field worker discovering device or data exception, personnel just can be arranged to keep in repair ladle baking facility, and this maintenance mode afterwards can affect production run, and may cause security incident.Because steelworks ladle baking facility quantity is more, and need to carry out acquisition process to its process data in real time, and judge whether this ladle baking facility breaks down by prediction, single or small-size computer treatment effeciency is low, and can not be real-time real-time monitoring is carried out to ladle baking facility.And relative to the mode that traditional spot check overhauls or overhauls according to schedule, then according to certain standard, some cycles, check the position that equipment specifies, so that early detection equipment failure hidden danger, repaired adjustment in time, but for steel mill's situation instantly, this mode effectively can not solve problems faced---cannot the ruuning situation of Real-Time Monitoring ladle baking facility.
Utility model content
The technical problems to be solved in the utility model is to provide a kind of ladle baking facility on-line fault diagnosis system, with solve existing for prior art cannot the problem of ruuning situation of Real-Time Monitoring ladle baking facility.
For solving the problems of the technologies described above, the utility model embodiment provides a kind of ladle baking facility on-line fault diagnosis system, comprising: programmable logic controller (PLC), data server and distributed large data platform;
Described programmable logic controller (PLC), for gathering the process data of ladle baking facility;
Described data server, for receiving the process data of the ladle baking facility that described programmable logic controller (PLC) collects, and is uploaded to described distributed large data platform by the process data received;
Described distributed large data platform, for the process data of the ladle baking facility received being stored in the problem case storehouse of described distributed large data platform, data in the case library of the every bar problem data in problem case storehouse and described distributed large data platform are carried out similarity comparison, using the fault diagnosis result of fault type corresponding for the data in case library maximum for similarity as this problem data, and described fault diagnosis result is pushed out.
Further, described system also comprises: mobile terminal;
Described mobile terminal, is connected with described distributed large data platform, for receiving the fault diagnosis result that described distributed large data platform pushes.
Further, described system also comprises: data line;
Connected by described data line between described programmable logic controller (PLC).
Further, described system also comprises: computing machine, and described computing machine is connected with described programmable logic controller (PLC) by described data line;
Described computing machine comprises: form control center;
Described computing machine, for reading the process data of the ladle baking facility that described programmable logic controller (PLC) collects by OPC agreement.
Further, described system also comprises: GPRS communication facilities;
Described GPRS communication facilities, the process data for the ladle baking facility read by computing machine through internet again by public mobile communications network transfers to data server.
Further, described GPRS communication facilities comprises: the GPRS communication facilities of transmitting terminal and the GPRS communication facilities of receiving end;
The GPRS communication facilities of described transmitting terminal, for being connected with described computing machine by serial ports, and the process data of the ladle baking facility that computing machine is read by wireless network transmissions to the GPRS communication facilities of described receiving end;
The GPRS communication facilities of described receiving end, for transferring to data server by the process data of the ladle baking facility received.
Further, described data server, for storing the process data receiving ladle baking facility.
Further, described data server is used for being connected with described distributed large data platform by WIFI or wireless data service.
Further, the data scatter in described case library is stored in described distributed large data platform.
The beneficial effect of technique scheme of the present utility model is as follows:
In such scheme, gathered a large amount of process datas of ladle baking facility by programmable logic controller (PLC); And received the process data of the ladle baking facility that programmable logic controller (PLC) collects by data server, and the process data received is uploaded to described distributed large data platform; Again the process data of the ladle baking facility received is stored in the problem case storehouse of described distributed large data platform, data in the case library of the every bar problem data in problem case storehouse and described distributed large data platform are carried out similarity comparison, using the fault diagnosis result of fault type corresponding for the data in case library maximum for similarity as this problem data, and described fault diagnosis result is pushed out.Like this, fault diagnosis is carried out by every bar problem data of distributed large data platform to the ladle baking facility collected, reliability and the efficiency of diagnostic result can be improved, and propelling movement fault diagnosis result reminds staff overhaul the ladle baking facility being about to break down in advance and adjust corresponding steel-making plan arrangement, realize the on-line monitoring of ladle baking facility, ensure safety in production.
Accompanying drawing explanation
The ladle baking facility on-line fault diagnosis system architecture schematic diagram one that Fig. 1 provides for the utility model embodiment;
The ladle baking facility on-line fault diagnosis system architecture schematic diagram two that Fig. 2 provides for the utility model embodiment.
[main element symbol description]
1: programmable logic controller (PLC);
2: data server;
3: distributed large data platform;
4: computing machine;
5:GPRS communication facilities;
6: mobile terminal;
7:WIFI or wireless data service;
8: data line.
Embodiment
For making the technical problems to be solved in the utility model, technical scheme and advantage clearly, be described in detail below in conjunction with the accompanying drawings and the specific embodiments.
The utility model for existing cannot the problem of ruuning situation of Real-Time Monitoring ladle baking facility, a kind of ladle baking facility on-line fault diagnosis system is provided.
Be illustrated in figure 1 a kind of ladle baking facility on-line fault diagnosis system that the utility model embodiment provides, comprise: programmable logic controller (PLC) 1, data server 2 and distributed large data platform 3;
Described programmable logic controller (PLC) 1, for gathering the process data of ladle baking facility;
Described data server 2, for receiving the process data of the ladle baking facility that described programmable logic controller (PLC) 1 collects, and is uploaded to described distributed large data platform 3 by the process data received;
Described distributed large data platform 3, for the process data of the ladle baking facility received being stored in the problem case storehouse of described distributed large data platform 3, data in the case library of the every bar problem data in problem case storehouse and described distributed large data platform 3 are carried out similarity comparison, using the fault diagnosis result of fault type corresponding for the data in case library maximum for similarity as this problem data, and described fault diagnosis result is pushed out.
Ladle baking facility on-line fault diagnosis system described in the utility model embodiment, gathers a large amount of process datas of ladle baking facility by programmable logic controller (PLC) 1; And received the process data of the ladle baking facility that programmable logic controller (PLC) 1 collects by data server 2, and the process data received is uploaded to described distributed large data platform 3; Again the process data of the ladle baking facility received is stored in the problem case storehouse of described distributed large data platform 3, data in the case library of the every bar problem data in problem case storehouse and described distributed large data platform 3 are carried out similarity comparison, using the fault diagnosis result of fault type corresponding for the data in case library maximum for similarity as this problem data, and described fault diagnosis result is pushed out.Like this, fault diagnosis is carried out by every bar problem data of distributed large data platform 3 to the ladle baking facility collected, reliability and the efficiency of diagnostic result can be improved, and propelling movement fault diagnosis result reminds staff overhaul the ladle baking facility being about to break down in advance and adjust corresponding steel-making plan arrangement, realize the on-line monitoring of ladle baking facility, ensure safety in production.
In the utility model embodiment, such as, can described programmable logic controller (PLC) 1 be arranged in switch board, be gathered the process data of ladle baking facility by described programmable logic controller (PLC) 1 according to certain time interval.
In the utility model embodiment, described data server 2 is connected with distributed large data platform 3, described distributed large data platform 3 carries out real-time diagnosis and prediction by the distributed case-based reasoning system based on large data platform to ladle baking facility fault, and (prediction) result will be diagnosed to push out, remind staff to being out of order or will detecting and keep in repair by out of order ladle baking facility.
In the utility model embodiment, in order to ensure the accuracy predicted the outcome, the data of the case library of described distributed large data platform 3 are very huge, list small part data analysis especially for convenience of description; The process data of the ladle baking facility collected by Internet Transmission in the problem case storehouse of distributed large data platform 3.Because simultaneously online ladle baking facility is a lot, and data transmission frequency is higher, and synchronization may need to process a large amount of problem cases.Similarity comparison checking is carried out, the fault type of every bar problem data in problem identificatioin case library by the data in the case library of the data in problem case storehouse and described distributed large data platform 3---there are non-fault, fault level.Again the fault diagnosis result after process is pushed staff, remind staff overhaul the ladle baking facility that is about to break down and adjust corresponding steel-making plan arrangement in advance.
In the utility model embodiment, the processing procedure of distributed large data platform 3 is described in detail, because case library data volume is huge, so the data of table 1 can disperse to be stored in distributed large data platform 3.Also cutting can be carried out for a large amount of problem datas (table 2) passed over, be distributed to each computing node to get on, a part for the process problem data that each computing node is concurrent, and adopt the strategy of load balancing, effectively utilize the resource of each computing node, accelerate counting yield.By the data of every bar problem data and case library are carried out similarity comparison, choose the fault diagnosis result of result as this problem data of the case library data of maximum similarity, finally the fault diagnosis result of all problem datas is gathered.
Table 1 case library
Table 2 problem case storehouse
In the embodiment of aforementioned ladle baking facility on-line fault diagnosis system, further, as shown in Figure 2, described system also comprises: mobile terminal 6;
Described mobile terminal 6, is connected with described distributed large data platform 3, for receiving the fault diagnosis result that described distributed large data platform 3 pushes.
In the utility model embodiment, described mobile terminal 6 can be the equipment such as cell-phone customer terminal, pad, for receiving the fault diagnosis result that described distributed large data platform 3 pushes.
In the embodiment of aforementioned ladle baking facility on-line fault diagnosis system, further, as shown in Figure 2, described system also comprises: data line 8;
Connected by described data line 8 between described programmable logic controller (PLC) 1.
In the utility model embodiment, described data line 8 can be PROFIBUS_DP data line; By described PROFIBUS_DP data line, each programmable logic controller (PLC) 1 of scene is carried out networking.
In the embodiment of aforementioned ladle baking facility on-line fault diagnosis system, further, as shown in Figure 2, described system also comprises: computing machine 4, and described computing machine 4 is connected with described programmable logic controller (PLC) 1 by described data line 8;
Described computing machine 4 comprises: form control center;
Described computing machine 4, for reading the process data of the ladle baking facility that described programmable logic controller (PLC) 1 collects by OPC agreement.
In the utility model embodiment, described programmable logic controller (PLC) 1 is by PROFIBUS_DP data line and form control center (WindowsControlCenter is housed, WinCC) computing machine 4 carries out connecting and transmitting data, concrete, WinCC on computing machine 4 is by OPC agreement, the process data that each programmable logic controller (PLC) 1 collects is read, and the process data read is stored in this locality.
In the embodiment of aforementioned ladle baking facility on-line fault diagnosis system, further, as shown in Figure 2, described system also comprises: GPRS communication facilities 5;
Described GPRS communication facilities 5, the process data for the ladle baking facility read by computing machine 4 through internet again by public mobile communications network transfers to data server 2.
In the utility model embodiment, described GPRS communication facilities 5 is applicable to TCP/IP network, can the process data of whole ladle baking facilities that collects of real-time Transmission.
In the embodiment of aforementioned ladle baking facility on-line fault diagnosis system, further, described GPRS communication facilities 5 comprises: the GPRS communication facilities 5 of transmitting terminal and the GPRS communication facilities 5 of receiving end;
The GPRS communication facilities 5 of described transmitting terminal, for being connected with described computing machine 4 by serial ports, and the process data of the ladle baking facility that computing machine 4 is read by wireless network transmissions to the GPRS communication facilities 5 of described receiving end;
The GPRS communication facilities 5 of described receiving end, for transferring to data server 2 by the process data of the ladle baking facility received.
In the embodiment of aforementioned ladle baking facility on-line fault diagnosis system, further, described data server 2, for storing the process data receiving ladle baking facility.
In the embodiment of aforementioned ladle baking facility on-line fault diagnosis system, further, described data server 2, for being connected with described distributed large data platform 3 by WIFI or wireless data service 7.
The above is preferred implementation of the present utility model; should be understood that; for those skilled in the art; under the prerequisite not departing from principle described in the utility model; can also make some improvements and modifications, these improvements and modifications also should be considered as protection domain of the present utility model.
Claims (9)
1. a ladle baking facility on-line fault diagnosis system, is characterized in that, comprising: programmable logic controller (PLC), data server and distributed large data platform;
Described programmable logic controller (PLC), for gathering the process data of ladle baking facility;
Described data server, for receiving the process data of the ladle baking facility that described programmable logic controller (PLC) collects, and is uploaded to described distributed large data platform by the process data received;
Described distributed large data platform, for the process data of the ladle baking facility received being stored in the problem case storehouse of described distributed large data platform, data in the case library of the every bar problem data in problem case storehouse and described distributed large data platform are carried out similarity comparison, using the fault diagnosis result of fault type corresponding for the data in case library maximum for similarity as this problem data, and described fault diagnosis result is pushed out.
2. ladle baking facility on-line fault diagnosis system according to claim 1, it is characterized in that, described system also comprises: mobile terminal;
Described mobile terminal, is connected with described distributed large data platform, for receiving the fault diagnosis result that described distributed large data platform pushes.
3. ladle baking facility on-line fault diagnosis system according to claim 1, is characterized in that, also comprise: data line;
Connected by described data line between described programmable logic controller (PLC).
4. ladle baking facility on-line fault diagnosis system according to claim 3, is characterized in that, also comprise: computing machine, and described computing machine is connected with described programmable logic controller (PLC) by described data line;
Described computing machine comprises: form control center;
Described computing machine, for reading the process data of the ladle baking facility that described programmable logic controller (PLC) collects by OPC agreement.
5. ladle baking facility on-line fault diagnosis system according to claim 4, is characterized in that, also comprise: GPRS communication facilities;
Described GPRS communication facilities, the process data for the ladle baking facility read by computing machine through internet again by public mobile communications network transfers to data server.
6. ladle baking facility on-line fault diagnosis system according to claim 5, is characterized in that, described GPRS communication facilities comprises: the GPRS communication facilities of transmitting terminal and the GPRS communication facilities of receiving end;
The GPRS communication facilities of described transmitting terminal, for being connected with described computing machine by serial ports, and the process data of the ladle baking facility that computing machine is read by wireless network transmissions to the GPRS communication facilities of described receiving end;
The GPRS communication facilities of described receiving end, for transferring to data server by the process data of the ladle baking facility received.
7. the ladle baking facility on-line fault diagnosis system according to claim 1 or 6, is characterized in that, described data server, for storing the process data receiving ladle baking facility.
8. the ladle baking facility on-line fault diagnosis system according to claim 1 or 6, is characterized in that, described data server is used for being connected with described distributed large data platform by WIFI or wireless data service.
9. ladle baking facility on-line fault diagnosis system according to claim 1, is characterized in that, the data scatter in described case library is stored in described distributed large data platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520811234.4U CN205049941U (en) | 2015-10-19 | 2015-10-19 | Ladle roaster trouble online diagnosis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520811234.4U CN205049941U (en) | 2015-10-19 | 2015-10-19 | Ladle roaster trouble online diagnosis system |
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| Publication Number | Publication Date |
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| CN205049941U true CN205049941U (en) | 2016-02-24 |
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| CN201520811234.4U Expired - Fee Related CN205049941U (en) | 2015-10-19 | 2015-10-19 | Ladle roaster trouble online diagnosis system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106292612A (en) * | 2016-10-10 | 2017-01-04 | 深圳万发创新进出口贸易有限公司 | A kind of ladle baking facility on-line fault diagnosis system |
-
2015
- 2015-10-19 CN CN201520811234.4U patent/CN205049941U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106292612A (en) * | 2016-10-10 | 2017-01-04 | 深圳万发创新进出口贸易有限公司 | A kind of ladle baking facility on-line fault diagnosis system |
| CN106292612B (en) * | 2016-10-10 | 2018-12-28 | 江苏汇智达信息科技有限公司 | A kind of ladle baking facility on-line fault diagnosis system |
| CN109189018A (en) * | 2016-10-10 | 2019-01-11 | 深圳万发创新进出口贸易有限公司 | A kind of ladle baking facility on-line fault diagnosis system |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20160224 Termination date: 20191019 |