CN103019222B - Metallurgical equipment monitoring method of health state - Google Patents
Metallurgical equipment monitoring method of health state Download PDFInfo
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- CN103019222B CN103019222B CN201110294128.XA CN201110294128A CN103019222B CN 103019222 B CN103019222 B CN 103019222B CN 201110294128 A CN201110294128 A CN 201110294128A CN 103019222 B CN103019222 B CN 103019222B
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Abstract
The present invention relates to monitoring of tools.A kind of metallurgical equipment health status monitoring system, it includes that RFID wireless points examine instrument；Point inspection java standard library, comprising an every terms of information needed for inspection operation：Facility information, cycle information, operating personnel's information, route information and startup mark；Point inspection result memory；Comprising an inspection operating result, performance mark, and it is associated by every terms of information in unique mark and point inspection java standard library；Equipment health monitoring engine, prepares with an inspection execute instruction, puts inspection standard automatic arrangement program and result three partial functions of issue, instruction plan, automatic arrangement program and publishing point inspection result that respectively the generation of wireless points inspection instrument need to be performed；Statistical module is implemented in point inspection, and it includes that statistic, person works' situation statistics, equipment state trend count three modules, from three angle statistical analysis equipment health status.The present invention realizes the overall planning to standard execute instruction, facilitates change directive scheduling, it is ensured that the efficient execution of point inspection instruction.
Description
Technical field
The present invention relates to monitoring of tools, more particularly to a kind of metallurgical equipment monitoring system and method.
Background technology
Can at a high speed, efficiently produce high-quality product, be the key that can a smelter survive.And to reach
This purpose, maintained equipment state it is healthy most important.At present, maintained equipment state health, mainly using particle check system, i.e.,
By employment (depending on, listen, smell, taste, touch) or simple instrument, instrument, according to the cycle and method being previously set in equipment
The position (point) of a certain regulation carry out the process of the preventative careful inspection for having without exception so that the hidden danger of equipment and scarce road energy
Access early detection, early prevention, early stage treatment.The formulation of its midpoint inspection standard is no doubt extremely important, but if does not have
A set of effective instrument goes management to perform point inspection standard, and efficiency will be substantially reduced.
At present, existing method underaction in a generation of inspection execute instruction and its scheduling modification；Point inspection was implemented
The transmission of the relative recording in journey can not realize that automatic or automatic coffret is numerous and diverse；For an analytic function of inspection result not
Foot.
The content of the invention
Present invention seek to address that drawbacks described above, there is provided a kind of metallurgical equipment health status monitoring system and method.The present invention
Realize the overall planning to standard execute instruction, in that context it may be convenient to change directive scheduling, but ensure that a height for inspection instruction
Effect is performed；Reach and simplify the point inspection course of work, mitigate point inspection operator work load；Related management personnel are facilitated integrally to hold whole
The state of individual equipment and the situation of point inspection work.
To solve the above problems, a kind of metallurgical equipment monitoring method of health state, it includes that wireless points examine instrument, the nothing
Line point inspection instrument is that RFID wireless points examine instrument, and it also includes：
Point inspection java standard library, it comprising point inspection operation needed for an every terms of information, facility information, cycle information, operating personnel's information,
Route information and startup are identified；
Point inspection result memory；Comprising an inspection operating result, performance mark, and by unique mark and put inspection mark
Every terms of information is associated in quasi- table；
Equipment health monitoring engine, prepares with an inspection execute instruction, puts inspection standard automatic arrangement program and result issue three
Divide function, instruction plan and automatic arrangement program point inspection standard and publishing point inspection result that respectively the generation of wireless points inspection instrument need to be performed
Equipment health status analysis module, it includes the statistic, the personnel that are counted according to an inspection result table information
Working condition statistics, equipment state trend count three parts, from three angle statistical analysis equipment health status.
Present invention aim at equipment health status is controlled, a set of adaptation and effective method therewith are created, it is real
Show the overall planning to standard execute instruction, in that context it may be convenient to change directive scheduling, ensure that efficiently holding for an inspection instruction
OK, reach and simplify the point inspection course of work, mitigate point inspection operator work load, facilitate related management personnel integrally to hold and entirely set
Standby state and the situation of point inspection work.The method of the present invention is flexible in a generation of inspection execute instruction and its scheduling modification；
The transmission of the relative recording in point inspection implementation process can be realized manually or automatically transmitting；It is strong for an analytic function of inspection result
Greatly.
Brief description of the drawings
Below, with reference to accompanying drawing, the present invention is further illustrated：
Fig. 1 is monitoring system schematic diagram of the present invention.
Specific embodiment
As shown in Figure 1：, a kind of metallurgical equipment monitoring method of health state, it includes that wireless points examine instrument 5, the wireless points
Inspection instrument is that RFID wireless points examine instrument, and it also includes：
Point inspection java standard library 1, it includes every terms of information, facility information, cycle information, operating personnel's letter needed for point inspection operation
Breath, route information and startup mark；
Point inspection result memory 2；Comprising an inspection operating result, performance mark, and by unique mark and put inspection
Every terms of information is associated in standard scale；
Equipment health monitoring engine 3, prepares with an inspection execute instruction, puts inspection standard automatic arrangement program and result issue three
Divide function, standard is examined in the instruction plan and automatic arrangement program point that respectively the generation of wireless points inspection instrument need to be performed and publishing point inspection is tied
Really；
Statistical model module 4 is implemented in point inspection, and it includes the statistic, the personnel that are counted according to an inspection result table information
Working condition statistics, equipment state trend count three parts, from three angle statistical analysis equipment health status.
The extracted data from an inspection java standard library and equipment library of equipment health monitoring engine 3, is associated using the mark for designing
Data, and point inspection execute instruction data are formed according to the scheduling date of setting.
Daily staff is using bluetooth or USB data line by under ready point inspection execute instruction data in step one
It is downloaded on described point inspection instrument, point inspection instrument touches different ID buttons and is based on RFID skills according to the route information distributed in standard
Art performs different point inspection work, and point inspection result to an inspection result is uploaded using bluetooth or USB data line after returning from scene
In memory.
Equipment health monitoring engine finds out the same day unfinished point inspection working stamndard from an inspection result memory, with week
Phase other day, week, the moon, season, year all standard is operated respectively, if+1 day plan execution date ＜ bases of a certain standard
Quasi- execution date+cycle, then add the plan execution date for becoming new for one day in plan execution date；Otherwise, deposited in an inspection result
Record once this standard in reservoir not completing, plan execution date adds the plan execution date for becoming new for one day, plan is performed
Date is synchronous with benchmark execution date.
Equipment health monitoring engine is made profits and given birth to the information in point inspection java standard library and equipment library and point inspection result memory
Data are performed into point inspection tomorrow.
Equipment health monitoring engine is orderly by the point inspection resultant content in an inspection result memory（Such as：Temporally, by equipment
A certain information classification）Be presented to plant maintenance person, embodiment device health status.
Point inspection result data in equipment health monitoring engine extraction point inspection result memory, according to wanting for analysis module
Ask, data be filtered with pretreatment, data feature values are obtained using FFT, envelope technique, so judge, statistics equipment state,
Operation trend, more fully embodiment device health status.Meanwhile, system can also count the situation of each check staff work,
Administrative staff are facilitated to manage.
Claims (2)
1. a kind of metallurgical equipment monitoring method of health state, it includes that wireless points examine instrument, it is characterised in that the wireless points examine instrument
For RFID wireless points examine instrument, it also includes：Point inspection java standard library, point inspection result memory, equipment health monitoring engine and point inspection are real
Apply statistical model module and comprise the following steps：
Step one：Equipment health monitoring engine extracted data from an inspection java standard library and equipment library, is closed using the mark for designing
Connection data, and point inspection execute instruction is formed according to the scheduling date of setting；
Step 2：Ready point in step one is examined execute instruction number by daily staff using bluetooth or USB data line
According to downloading on described point inspection instrument, point inspection instrument is touched different ID buttons and is performed not according to the route information distributed in standard
Same point inspection work；Using in bluetooth or USB data line upload point inspection result to an inspection result memory after returning from scene；
Step 3：Equipment health monitoring engine finds out the same day unfinished point inspection working stamndard from an inspection result memory,
All standard is operated respectively with day, week, the moon, season, year as cycle, if+1 day plan execution date of a certain standard
＜ benchmark execution dates+cycle, then add the plan execution date for becoming new for one day in plan execution date；Otherwise, in an inspection knot
This standard is recorded once in fruit memory not complete, plan execution date adds the plan execution date for becoming new for one day, plan
Execution date is synchronous with benchmark execution date；
Step 4：Equipment health monitoring engine is using the information life in point inspection java standard library and equipment library and point inspection result memory
Into point inspection tomorrow execute instruction；
Step 5：By the point inspection resultant content in an inspection result memory temporally, a certain information classification of equipment is presented in an orderly manner
To plant maintenance person, embodiment device health status.
2. the metallurgical equipment monitoring method of health state according to claim 1, it is characterised in that statistics mould is implemented in point inspection
Analysis is retrieved, pre-processed and made to pattern root tuber according to the time period that user specifies to the data in an inspection result table, is wrapped
Include：
A. using the result data after treatment, and the facility information in java standard library is examined according to unique mark relating dot, is counted each
This section of normal operation ratio of time of individual equipment；
B. using the result data after treatment, and the personal information in java standard library is examined according to unique mark relating dot, is counted each
Individual point examines this work completion rate of time of staff, and normal number, the abnormal number that point inspection staff detects；
C. using the result data after treatment, and java standard library is examined according to unique mark relating dot, finds out quantitative normal term, and it is right
Each quantitative criterion does trend analysis, and tendency tendency chart is presented into plant maintenance person.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110294128.XA CN103019222B (en) | 2011-09-28 | 2011-09-28 | Metallurgical equipment monitoring method of health state |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110294128.XA CN103019222B (en) | 2011-09-28 | 2011-09-28 | Metallurgical equipment monitoring method of health state |
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| Publication Number | Publication Date |
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| CN103019222A CN103019222A (en) | 2013-04-03 |
| CN103019222B true CN103019222B (en) | 2017-06-09 |
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| CN201110294128.XA Active CN103019222B (en) | 2011-09-28 | 2011-09-28 | Metallurgical equipment monitoring method of health state |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106339797A (en) * | 2016-08-17 | 2017-01-18 | 北京拓盛智联技术有限公司 | Point inspection data processing method and device |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6740602B2 (en) * | 2015-12-11 | 2020-08-19 | ダイキン工業株式会社 | Information processing equipment |
| CN114777694B (en) * | 2022-03-29 | 2024-02-02 | 马鞍山钢铁股份有限公司 | Method for judging state change trend of hot-rolled multifunctional thickness gauge tube |
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| CN1492474A (en) * | 2002-10-22 | 2004-04-28 | 首钢日电电子有限公司 | Semiconductor production device management system |
| CN1858727A (en) * | 2005-05-06 | 2006-11-08 | 鸿富锦精密工业（深圳）有限公司 | Producing device monitor system and method |
| CN101770612A (en) * | 2009-09-17 | 2010-07-07 | 宁波北电源兴电力工程有限公司 | Device defect management module of EAM (Enterprise Asset Management) system in power plant |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050283498A1 (en) * | 2004-06-22 | 2005-12-22 | Taiwan Semiconductor Manufacturing Company, Ltd. | System and method to build, retrieve and track information in a knowledge database for trouble shooting purposes |
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2011
- 2011-09-28 CN CN201110294128.XA patent/CN103019222B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1492474A (en) * | 2002-10-22 | 2004-04-28 | 首钢日电电子有限公司 | Semiconductor production device management system |
| CN1858727A (en) * | 2005-05-06 | 2006-11-08 | 鸿富锦精密工业（深圳）有限公司 | Producing device monitor system and method |
| CN101770612A (en) * | 2009-09-17 | 2010-07-07 | 宁波北电源兴电力工程有限公司 | Device defect management module of EAM (Enterprise Asset Management) system in power plant |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106339797A (en) * | 2016-08-17 | 2017-01-18 | 北京拓盛智联技术有限公司 | Point inspection data processing method and device |
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| CN103019222A (en) | 2013-04-03 |
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Address after: 201900, 335, Pu Pu Road, Shanghai, Baoshan District Patentee after: SHANGHAI BAOSTEEL INDUSTRY TECHNOLOGICAL SERVICE Co.,Ltd. Address before: 201900, 335, Pu Pu Road, Shanghai, Baoshan District Patentee before: Shanghai Baosteel Industrial Inspection Co.,Ltd. |
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Address after: No. 3520 Tongji Road, Baoshan District, Shanghai, 201900 Patentee after: Baowu equipment Intelligent Technology Co.,Ltd. Address before: 201900, 335, Pu Pu Road, Shanghai, Baoshan District Patentee before: SHANGHAI BAOSTEEL INDUSTRY TECHNOLOGICAL SERVICE Co.,Ltd. Address after: 201900, 335, Pu Pu Road, Shanghai, Baoshan District Patentee after: Shanghai Baosteel Industrial Inspection Co.,Ltd. Address before: 200900, 335, Pu Pu Road, Shanghai, Baoshan District Patentee before: Shanghai Baosteel Industry Inspection Corp. |