CN101131752A - Equipment scrap judging method - Google Patents
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- CN101131752A CN101131752A CNA2007100999896A CN200710099989A CN101131752A CN 101131752 A CN101131752 A CN 101131752A CN A2007100999896 A CNA2007100999896 A CN A2007100999896A CN 200710099989 A CN200710099989 A CN 200710099989A CN 101131752 A CN101131752 A CN 101131752A
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- 238000013178 mathematical model Methods 0.000 claims description 4
- 238000007726 management method Methods 0.000 description 4
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Abstract
The invention advances a kind of equipment-retirement estimation method, including the following steps: (1) the basic information to set the equipment; (2) according to the basic information referred above, estimating every life-span parameter of the equipment; (3) according to the estimated data of the life-span parameters referred above, estimating the equipment overall; (4) according to the overall estimation result of the equipment, estimating the equipment retirement. With the equipment-retirement estimation method in this invention, we can estimate the equipment overall about economic life-span, safe life-span, reliability life-span and technological life-span, making the equipment-retirement estimation more scientific and more accurate.
Description
Technical Field
The invention relates to an equipment management method, in particular to an equipment scrapping judgment method.
Background
In the coal industry, equipment needs to operate under the conditions of high strength and high load, and the equipment is used for a long time, is continuously worn and aged, and continuously reduces the production efficiency, safety and reliability, so that the equipment needs to be scrapped regularly.
However, there is no reference example for determining the actual service life of the device. The standard of rejection of the equipment by manufacturers is far from the actual condition of the company, and the service life of the equipment is determined only by the life of the material and is not reasonable. The actual service life of the equipment in actual work cannot be accurately determined, and on one hand, the equipment is prone to sudden failure due to the fact that the equipment works for a long time, so that sudden production halt of an enterprise is caused, and huge economic loss is brought to the enterprise. On the other hand, the premature scrapping of the equipment in the actual work can cause the excessive service life of the equipment, cause the huge waste of equipment resources and also bring economic loss to enterprises.
For the above reasons, it is necessary to provide a scrap determination method for comprehensive evaluation.
Disclosure of Invention
The invention aims to provide a method for judging comprehensive evaluation of equipment scrap by adopting economic life, safety life, reliability life and technical life.
In order to achieve the above purpose, the equipment scrapping judgment method provided by the invention is designed as follows:
a device scrap judging method comprises the following steps:
(1) Setting basic information of the equipment;
(2) Evaluating each life parameter of the equipment according to the basic information of the equipment;
(3) Comprehensively evaluating the equipment according to the evaluation data of each life parameter;
(4) And according to the comprehensive evaluation result of the equipment, judging the scrappage of the equipment.
Preferably, the basic information of the equipment in the step (1) includes technical characteristic information, production information and management information.
Preferably, the step (2) includes evaluating the economic life, the safety life, the technical life and the reliability life, respectively.
Wherein evaluating the economic life comprises the steps of:
A. comparing the one-time overhaul cost of the equipment with the set proportion of the reset cost of the equipment, if the one-time overhaul cost is greater than the set proportion of the reset cost of the equipment, scrapping the equipment, otherwise, executing the step B;
B. and comparing the working life of the equipment with the effective economic life Tec to obtain the evaluation of the economic life of the equipment. And the economic life is evaluated
Effective economic Life in step B
Tec is the effective economic life of the device; k 0 The value is the original value of the equipment; f is the equipment net value; g is the annual operating cost added value of the equipment.
Wherein evaluating the safety life comprises the steps of:
A. establishing a safety life evaluation table of the equipment;
B. accumulating all the scores in the table according to a safety life evaluation table to obtain a total score of the safety life;
C. comparing the total score of the safety life with a plurality of set scores, judging the safety condition of the equipment, if the safety condition of the equipment is poor, scrapping the equipment, otherwise, executing the step D;
D. and obtaining the safety service life evaluation result of the equipment.
Wherein evaluating the reliability lifetime comprises:
A. establishing a reliability service life scoring table;
B. accumulating all the scores in the reliability life evaluation table according to a reliability life evaluation table to obtain a total score of the reliability life;
C. comparing the total score of the reliability life with a plurality of set scores, judging the reliability condition of the equipment, if the reliability condition of the equipment is poor, scrapping the equipment, otherwise, executing the step D;
D. and obtaining the reliability service life evaluation result of the equipment.
The technical life evaluation method comprises the following steps:
A. establishing a technical life evaluation table of the equipment;
B. accumulating all scores in a technical life evaluation table according to the technical life evaluation table of the equipment to obtain a total score of the technical life;
C. comparing the total value of the technical life with a plurality of set values, judging the technical condition of the equipment, if the technical condition of the equipment is poor, scrapping the equipment, otherwise, executing the step D;
D. and obtaining the technical life evaluation result of the equipment.
Preferably, the step (3) is specifically to establish a fuzzy mathematical model according to the economic life evaluation, the safety life evaluation, the reliability life evaluation and the technical life evaluation results, and perform comprehensive evaluation on the equipment. And, the step (3) may be further specifically described as: according to evaluation results of economic life, safety life, reliability life and technical life of the equipment, establishing each factor set, constructing a factor matrix by using the factor sets, and then obtaining a comment set by using matrix operation of the weight matrix and the factor matrix.
Practice proves that the scrapping of the equipment is comprehensively considered by taking a reliability index as a basis, an economic index as a guide and a safety index as an absolute control index. The service life of the equipment is designed, economic and technical, and the overhaul of the equipment can obviously increase the failure rate of the equipment.
By using the equipment scrapping judgment method provided by the invention, the comprehensive evaluation of the equipment can be carried out from the economic life, the safety life, the reliability life and the technical life of the equipment, and the scientificity and the accuracy of the equipment scrapping judgment are improved.
Drawings
FIG. 1 is a flow chart of a method for determining scrap for equipment according to the present invention;
FIG. 2 is a flow chart of a method of evaluating an economic life parameter of a device of the present invention;
FIG. 3 is a flow chart of the present invention for evaluating a safety life parameter of a device;
FIG. 3a is a schematic view of a safety life scoring table for the apparatus of the present invention;
FIG. 4 is a flow chart of the present invention for evaluating reliability life parameters of a device;
FIG. 4a is a table illustrating the reliability life assessment of the apparatus of the present invention;
FIG. 5 is a flow chart of the present invention for evaluating technical life parameters of a device;
FIG. 5a is a schematic diagram of a technical life scoring table for the apparatus of the present invention;
FIG. 6 is a flow chart of the present invention for comprehensive evaluation of equipment.
Detailed Description
Fig. 1 is a flowchart of the method for determining equipment scrapping according to the present invention. In the method for judging the scrapped equipment, first, basic information of the equipment is input into the system for judging the scrapped equipment, and the basic information of the equipment comprises the following steps: technical characteristic parameters, production parameters, and operation management parameters including maintenance and repair costs, one-time overhaul costs, and the like. Then, the scrap determining system obtains the evaluation data of each parameter of the equipment according to the basic information of the equipment, that is, the evaluation data of the economic life, the safety life, the reliability life and the technical life of the equipment in this embodiment. Then, the management scrapping system carries out comprehensive evaluation on each parameter of the equipment according to the obtained evaluation data of each parameter.
And finally, according to the comprehensive evaluation data of the equipment, the scrap judgment system carries out scrap judgment on the equipment. It should be noted that, in this embodiment, the device is a mining machine device, and mainly performs a rejection judgment on a hydraulic support of the mining machine.
Fig. 2 is a flow chart of the method for evaluating the economic life parameters of the equipment according to the invention. Firstly, according to basic information of the equipment, the scrapping judgment system compares the one-time maintenance cost of the equipment with 80% of the reset cost of the equipment, if the one-time maintenance cost of the equipment is more than 80% of the reset cost of the equipment, the equipment is scrapped, otherwise, the effective economic life Tec of the equipment is calculated, and the calculation formula is as follows:
Then, the working life of the device is compared with the effective economic life Tec of the device, and the working life is set to be X, so that the following possibilities exist as comparison results: tec-X is more than or equal to 2 years, and the result is good; tec-X is more than or equal to 0 year, and the result is better; tec-X =0 years, the result is general; tec-X < 0 years, the results were poor. And finally, entering a comprehensive evaluation process of the equipment.
Fig. 3 is a flow chart of the present invention for evaluating safety life parameters of a device. Firstly, establishing a safety life evaluation table of the equipment, wherein the content of the evaluation table is shown in fig. 3a, a primary index is the importance of a component, and the importance of the influence of structural part failure on the operation of the equipment is considered; the secondary index is failure importance, and the influence degree of deformation and cracks of key parts in the component on the work of the component is considered; the three-level index is failure severity, and the influence of component failure on the use safety is quantitatively described by different scores, it should be noted that each score of each line in the score table is determined according to the failure degree of the equipment, for example, the score is determined by the number and the depth of cracks, and an empirical value can also be given by a worker in combination with practical experience.
For example, referring to the evaluation table shown in fig. 3a, if the overall deformation of the top beam of the device is severe, the corresponding score is 0; if the overall deformation of the top beam of the equipment is small, the corresponding score is 5; if the equipment has no top beam integral deformation, the corresponding score is 8; and the other indexes are analogized in turn to obtain the corresponding score of each final index. Then, accumulating the safety service life of the equipment by the scrap judging system according to each score value of each line in the safety evaluation table of the equipment, namely, obtaining the total score value of the safety evaluation table of the equipment, and comparing the total score value in the safety evaluation table of the equipment with a plurality of set scores, wherein the total score value is more than or equal to 90 minutes, and the result is good; the total score is more than or equal to 80 points, and the result is better; the total score is more than or equal to 75 points, and the result is general; the total score was < 75 points, the result was poor; the total score is less than 50 points, and the result is that each structural part has serious deformation and welding line problems, namely, has great potential safety hazard and is directly scrapped. And then, judging whether the safety condition of the equipment is poor or not by the scrapping judgment system, if the safety condition of the equipment is poor, namely the total score of the obtained safety service life is less than 75 points, scrapping the equipment, and if not, evaluating the reliability service life and the technical service life parameters of the equipment.
Fig. 4 is a flow chart of evaluating the reliability life parameter of the device according to the present invention. Firstly, a reliability life evaluation table of the equipment is established, the content of the evaluation table is shown in fig. 4a, and the reliability life index of the hydraulic support can be represented by MTBF and MTTR, where MTBF is the mean time between failures of the equipment, MTTR is the mean time between repairs of the equipment, and it should be noted that each evaluation value of each row in the evaluation table is obtained by a worker in combination with practical experience.
For example, referring to the evaluation table shown in fig. 4a, if MTBF of the device is > 500h and mttr is < 2h, the reliability index score of the device is 90, and so on, to obtain the reliability parameter evaluation table of the device. Then, accumulating the reliability service life of the equipment by the scrap judging system according to each score value of each line in the reliability parameter evaluation table of the equipment, namely, obtaining the total score of the reliability evaluation table of the equipment, and comparing the total score of the reliability evaluation table of the equipment with a plurality of set scores, wherein the total score is more than or equal to 80, and the result is good; the total score is more than or equal to 70 points, and the result is better; the total score is more than or equal to 60 points, and the result is general; the total score is less than 60 points, and the result is poor; the total score is less than 50 points, and as a result, the reliability has a great problem and equipment scrapping is directly carried out. And then, judging whether the reliability condition of the equipment is poor or not by the rejection judging system, if so, rejecting the equipment, namely, if the obtained total reliability service life score is less than 50 points, and otherwise, carrying out a comprehensive evaluation process of the equipment.
Fig. 5 is a flow chart of the present invention for evaluating technical life parameters of a device. As shown in the figure, firstly, a technical life scoring table of the equipment is established, the content of the scoring table is shown in fig. 5a, wherein the primary index considers the overall technical performance-matching; the secondary index considers the technical performance-adaptability of each subsystem; the three-level indexes are technical index scores, and it should be noted that each score value of each row in the score table is obtained by combining practical experience with workers.
For example, referring to fig. 5a, if the column operating resistance fully meets the bracket strength requirement, the score is 30; if the working resistance of the upright post is technically improved to meet the requirement of support strength, the value is 15; and if the working resistance of the upright column does not meet the requirement of the support strength, the score is 0, and the technical life scoring table of the equipment is obtained by performing classification pushing in sequence. The scrapping judgment system accumulates the technical life of the equipment according to each score value of each line in the technical life score table of the equipment, namely, obtains the total score of the technical life score table of the equipment, compares the total score of the technical life score table of the equipment with a plurality of set scores, and the total score is not less than 90 points, and the result is good; the total score is more than or equal to 80, and the result is better; the total score is more than or equal to 60 points, and the result is general; the total score is less than 60 points, and the result is poor; the total score is less than 50 points, the technical problem is serious, and the direct scrapping is realized. And finally, judging whether the technical condition of the equipment is poor or not by a scrapping judgment system, if so, judging that the total score of the obtained reliability service life rating table is less than 50 points, if so, scrapping the equipment, and otherwise, carrying out a comprehensive evaluation process of the equipment.
FIG. 6 is a flow chart of the present invention for comprehensive evaluation of equipment. In the invention, a fuzzy matrix comprehensive judgment method is adopted to comprehensively judge the scrappage of the equipment by integrating the economic life, the safety life, the reliability life and the technical life of the equipment.
As shown in the figure, firstly, a mathematical model of fuzzy comprehensive judgment is established; wherein, the mathematical model includes a comment set: v = { good, general, bad }, where "good" represents the proportion of people who rate "good" for a certain life parameter of the device in the above-described rating process, e.g., 10 people in total for the rating people, where 4 people rate "good", the value corresponding to "good" in the comment set V is 0.4, similarly, the values corresponding to "good", "general", and "bad" in the comment set V can be obtained, and the sum of all values in the comment set V is 1; a factor set: u = { economic life, safety life, reliability life, technical life }, set of weighting coefficients: q = [0.15,0.75,0.05]. And according to the economic life, the safety life, the reliability life and the technical life evaluation results of the equipment, generating various factor sets by a scrap judgment system: economic life set R 1 ＝[R 11 ，R 12 ，R 13 ， R 14 ]Safety life set R 2 ＝[R 21 ，R 22 ，R 23 ，R 24 ]Reliability lifetime set R 3 ＝[R 31 ， R 32 ，R 33 ，R 34 ]Technical life set R 4 ＝[R 41 ，R 42 ，R 43 ，R 44 ](ii) a Then, a matrix algorithm is adopted to obtain a fuzzy set Y,
then, carrying out normalization processing on the fuzzy set Y to obtain a comment set C; and finally, judging the equipment scrap according to the hydraulic support scrap fuzzy comprehensive judgment criterion. The following hydraulic support scrapping fuzzy comprehensive judgment criteria are constructed on the basis of failure analysis of the hydraulic support according to factors in the aspects of design, manufacture, use and the like of the hydraulic support: { good } + { better } > 85% or more, then continue to use; the method is applicable when the steel is repaired in large scale, and comprises the following steps that (1) good, better and more than or equal to 70%, technical performance tests including a structural part deformation test and a main body weld joint nondestructive test are carried out during large repair, and an evaluation report is given; { good } + { better } < 70%, the apparatus is rejected.
This is illustrated in detail below by way of example, for the set of factors R 1 ＝[0.0，0.0，0.0， 1.0]，R 2 ＝[0.0，0.2，0.4，0.4]，R 3 ＝[0.1，0.3，0.2，0.4]，R 4 ＝[0.0， 0.4，0.5，0.1]Performing matrix algorithm operation to obtain fuzzy set Y, and normalizing to obtain comment sets C [0.05,0.185,0.335, and 0.475 ]]It can be seen that when the evaluation is centralized and better 0.05+0.185=0.19=19% < 70%, the device needs to be scrapped according to the fuzzy comprehensive evaluation criterion.
It will be understood by those skilled in the art that the present invention is not limited to the above embodiments, for example, only one or more of the above four life evaluations can be considered, and other life evaluation parameters can be introduced, and in any case, modifications of the present invention within the spirit of the present invention are included in the protection scope of the present invention.
Claims (10)
1. The equipment scrap judging method is characterized by comprising the following steps of:
(1) Setting basic information of the equipment;
(2) Evaluating each service life parameter of the equipment according to the basic information of the equipment;
(3) Comprehensively evaluating the equipment according to the evaluation data of each life parameter;
(4) And according to the comprehensive evaluation result of the equipment, judging the scrappage of the equipment.
2. The equipment scrapping determination method according to claim 1, wherein the basic information of the equipment in the step (1) includes technical characteristic information, production information and management information.
3. The equipment scrapping determination method according to claim 1, wherein the step (2) comprises evaluating an economic life, a safety life, a technical life and a reliability life, respectively.
4. The equipment scrapping determination method according to claim 3, wherein the evaluation of the economic life includes the steps of:
A. comparing the one-time overhaul cost of the equipment with the set proportion of the equipment resetting cost, if the one-time overhaul cost is greater than the set proportion of the equipment resetting cost, scrapping the equipment, otherwise, executing the step B;
B. and comparing the working life of the equipment with the effective economic life Tec to obtain the evaluation of the economic life of the equipment.
5. The equipment scrapping determination method according to claim 4, wherein the effective economic life in the step B
Wherein Tec is the effective economic life of the device; k 0 The value is the original value of the equipment; f is the equipment net value; g is the annual operating cost added value of the equipment.
6. The equipment scrapping determination method according to claim 3, wherein the evaluation of the safety life includes the steps of:
A. establishing a safety life evaluation table of the equipment;
B. accumulating all scores in a safety life evaluation table according to the safety life evaluation table to obtain a total score of the safety life;
C. comparing the total score of the safety life with a plurality of set scores, judging the safety condition of the equipment, if the safety condition of the equipment is poor, scrapping the equipment, otherwise, executing the step D;
D. and obtaining the safety service life evaluation result of the equipment.
7. The equipment scrapping determination method according to claim 3, wherein the evaluating the reliability life includes the steps of:
A. establishing a reliability service life scoring table;
B. accumulating all the scores in the reliability life evaluation table according to a reliability life evaluation table to obtain a total score of the reliability life;
C. comparing the total score of the reliability life with a plurality of set scores, judging the reliability condition of the equipment, if the reliability condition of the equipment is poor, scrapping the equipment, otherwise, executing the step D;
D. and obtaining the reliability service life evaluation result of the equipment.
8. The equipment scrapping determination method according to claim 3, wherein the evaluation of the technical life includes the steps of:
A. establishing a technical life evaluation table of the equipment;
B. accumulating all scores in a technical life evaluation table according to the technical life evaluation table of the equipment to obtain a total score of the technical life;
C. comparing the total score of the technical life with a plurality of set scores, judging the technical condition of the equipment, if the technical condition of the equipment is poor, scrapping the equipment, otherwise, executing the step D;
D. and obtaining the technical service life evaluation result of the equipment.
9. The equipment scrapping judgment method according to claim 1, wherein the step (3) is specifically to establish a fuzzy mathematical model according to the economic life evaluation, the safety life evaluation, the reliability life evaluation and the technical life evaluation results, and perform comprehensive judgment on the equipment.
10. The equipment scrap judging method according to claim 9, wherein the step (3) is: according to the judgment results of the economic life, the safety life, the reliability life and the technical life of the equipment, establishing each factor set, constructing a factor matrix by using the factor sets, and then obtaining a comment set by using the matrix operation of the weight matrix and the factor matrix.
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| CNA2007100999896A CN101131752A (en) | 2007-06-01 | 2007-06-01 | Equipment scrap judging method |
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| CNA2007100999896A CN101131752A (en) | 2007-06-01 | 2007-06-01 | Equipment scrap judging method |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103455882A (en) * | 2013-08-30 | 2013-12-18 | 国家电网公司 | Intelligent recognition system for asset state information |
| CN104486148A (en) * | 2014-12-04 | 2015-04-01 | 北京百度网讯科技有限公司 | Server recovery control method and device |
| CN105303350A (en) * | 2015-10-30 | 2016-02-03 | 长沙奥科电子科技有限公司 | Stirring station fitting management system |
| CN108280532A (en) * | 2017-09-02 | 2018-07-13 | 国网辽宁省电力有限公司 | A kind of improved power equipment asset management system and method |
| CN109523197A (en) * | 2018-12-26 | 2019-03-26 | 安和美(天津)科技有限公司 | A kind of evaluation method for failure of fibre reinforced composites |
| CN109635964A (en) * | 2018-12-21 | 2019-04-16 | 华中农业大学 | A kind of agricultural machinery scraps update decision system |
-
2007
- 2007-06-01 CN CNA2007100999896A patent/CN101131752A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103455882A (en) * | 2013-08-30 | 2013-12-18 | 国家电网公司 | Intelligent recognition system for asset state information |
| CN104486148A (en) * | 2014-12-04 | 2015-04-01 | 北京百度网讯科技有限公司 | Server recovery control method and device |
| CN105303350A (en) * | 2015-10-30 | 2016-02-03 | 长沙奥科电子科技有限公司 | Stirring station fitting management system |
| CN108280532A (en) * | 2017-09-02 | 2018-07-13 | 国网辽宁省电力有限公司 | A kind of improved power equipment asset management system and method |
| CN109635964A (en) * | 2018-12-21 | 2019-04-16 | 华中农业大学 | A kind of agricultural machinery scraps update decision system |
| CN109523197A (en) * | 2018-12-26 | 2019-03-26 | 安和美(天津)科技有限公司 | A kind of evaluation method for failure of fibre reinforced composites |
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Open date: 20080227 |