CN106503905A - A kind of second-hand engineering machinery appraisal and evaluation method based on time shafts dynamic data monitor - Google Patents
A kind of second-hand engineering machinery appraisal and evaluation method based on time shafts dynamic data monitor Download PDFInfo
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Abstract
The invention discloses a kind of second-hand engineering machinery appraisal and evaluation method based on time shafts dynamic data monitor, which detects to engineering machinery key components and partss with real time monitoring, second-hand engineering machinery is estimated according to each critical component significance level of engineering machinery and detection gained parts current performance parameters.The present invention can record engineering machinery from the performance parameter of new machine either phase to after coming into operation, and be calculated the second-hand engineering machinery metewand according to actual measurement parameter；Second-hand engineering machinery assessment is carried out according to actual measurement parameter, accomplishes to speak with data, it is to avoid prior art carries out according to service life that assessment that coarse evaluation brings is inaccurate and jamming phenomenon.
Description
Technical field
The invention belongs to engineering machinery identification technology field, and in particular to a kind of based on time shafts dynamic data monitor two
Handss engineering machinery appraisal and evaluation method.
Background technology
The beginning of this century, greatly develop under the pulling of capital construction economic policy in country, blowout occurs in construction machinery industry
Increase, the industry output value breaks through 500,000,000,000, and engineering machinery whole nation recoverable amount about 6,500,000～7,040,000 is needed considerably beyond market
The amount of asking.Caused the investment such as capital construction to be slowed down by national economy slowdown in growth, and New Economy, new industry situation are to conventionally manufactured industry
Impact double factor affects, and construction machinery industry is after the high speed development of beginning of this century last decade has been stepped into during market
In generation, specialized operation is turned to by extensive development gradually.With the increase of second-hand equipment stock market, the core market of enterprise will
The sides such as service, the recovery of second-hand equipment, maintenance service, renovation certification, operating lease, lease service are transferred to from production marketing
To.
Second-hand engineering machinery appraisal and evaluation relies solely on maintenance technician and carries out by personal experience at present, lacks science
Evaluation criteria and evaluation system, and similar techniques are broadly divided into two classes：The first kind is production machine performance assessment technology, for
Malfunction monitoring during production equipment use, is not that assessment result is not applied for being subsequently second-hand to the whole machine assessment of two mobile phones
Machine transaction is instructed, while assessment technology excessively complexity is not suitable for the estimation flow of high-volume simple and fast；Equations of The Second Kind is machine
The second-hand assessment technology of motor-car, engineering machinery are different with two mobile phone of motor vehicles assessment emphasis, the assessment of second-hand motor vehicles
The critical piece performance such as vehicle appearance, comfortableness, service life, distance travelled, electromotor is laid equal stress on, and the assessment of second-hand engineering machinery
Emphasis be main parts size performance, i.e., second-hand engineering machinery future work ability.
Therefore, the country lacks perfect second-hand engineering machinery evaluation criteria at present, and buyer can only use duration according to equipment,
The information such as the key components and partss overhaul life such as electromotor, hydraulic pump and applying working condition substantially judges engineering machinery operation present situation, by
In both parties' information asymmetry, transaction swindling behavior takes place frequently, and causes second-hand engineering machinery transaction at present to enter into quagmire, it is impossible to good
Sexual development, thus second-hand engineering machinery appraisal procedure accurately, perfect becomes the key factor of restriction industry development.
Content of the invention
The present invention seeks to for the appraisal and evaluation for solving the problems, such as second-hand engineering machinery, propose a kind of to be based on time shafts dynamic number
According to the second-hand engineering machinery appraisal and evaluation method of monitoring, the method is obtained by carrying out dynamic monitoring to engineering machinery key components and partss
Its current performance parameters is arrived, and objective, accurate assessment is carried out to second-hand equipment according to each critical component significance level, improve two
Manual journey mechanical assessment precision.
A kind of second-hand engineering machinery appraisal and evaluation method based on time shafts dynamic data monitor, comprises the steps：
(1) for arbitrary key components and partss in second-hand engineering machinery to be identified, which is examined using dynamic monitor method
Measure the current performance parameters M of the key components and partss；
(2) the current age state parameter x of the key components and partss, according to described current performance parameters M, is calculated；
(3) according to described current age state parameter x by respective attenuation function, the key components and partss are calculated corresponding
Attenuation quotient；
(4) all key components and partss in second-hand engineering machinery to be identified are traveled through according to above-mentioned steps, to obtain each key
The corresponding attenuation quotient of parts, and then the identification of indicator K of the second-hand engineering machinery is evaluated by weighted sum method.
After detection obtains current performance parameters M in step (1), by its with the key components and partss when function is lost
Critical performance parameter is compared, if M beyond critical range (different component capabilities parameters, initial value to marginal value be possible to by
Cumulative big, it is also possible to reduce) then need not execute subsequent step, second-hand engineering machinery as the key components and partss lose function not
It is worth with recycling.
The current age state parameter x of key components and partss is calculated in step (2) by below equation：
Wherein：M1The initial performance parameter for being the key components and partss under brand-new state, M2Losing for the key components and partss
Critical performance parameter during function；Current age state parameter x scopes represent new engine for 0～100%, wherein 0,100% generation
Critical state when expressing service life state namely losing function.
For arbitrary key components and partss, its initial performance parameter M1With critical performance parameter M2Passed through based on expert's Practical Project
Test with theoretical analyzing evaluation and obtain with reference to big data analytical estimating.
Preferably, in step (3) as 0≤x ＜ 10%, the attenuation function is the nonlinear curve for drastically declining
Function；When 10%≤x≤100%, the attenuation function is the linear line function that ratio declines.The present invention is not limited to
A kind of attenuation function curve is stated, the attenuation function curve for meeting the variation tendency in the inventive method concept belongs to this
Invention protection domain.
The identification of indicator K of second-hand engineering machinery is calculated in step (4) by below equation：
K=w1*p(x1)+w2*p(x2)+w3*p(x3)+…+wn*p(xn)
Wherein：x1～xnThe current age state parameter of the 1st to n-th key components and partss in respectively second-hand engineering machinery,
P () be attenuation function, p (x1)～p (xn) it is respectively the corresponding decay of the 1st to n-th key components and partss in second-hand engineering machinery
Coefficient, n is the total number of key components and partss in second-hand engineering machinery, w1～wnThe 1st to n-th in respectively second-hand engineering machinery
The weight coefficient of key components and partss.
Described key components and partss include but are not limited to hydraulic pump, hydraulic motor, banked direction control valves, electromotor etc..
Described weight coefficient w1～wnSignificance level and performance characteristics according to each key components and partss sets, and
The present invention is second-hand, and engineering machinery appraisal and evaluation approach application real time monitoring is entered to engineering machinery key components and partss
Row detection, according to each critical component significance level of engineering machinery and detection gained parts current performance parameters to second-hand engineering machine
Tool is estimated；Compared with prior art, Advantageous Effects of the invention are as follows：
(1) present invention can record engineering machinery from the performance parameter of new machine either phase to after coming into operation, according to reality
Survey parameter and be calculated the second-hand engineering machinery metewand.
(2) present invention can carry out second-hand engineering machinery assessment according to actual measurement parameter, accomplish to speak with data, it is to avoid existing
Technology carries out according to service life that assessment that coarse evaluation brings is inaccurate and jamming phenomenon.
Description of the drawings
The step of Fig. 1 is appraisal and evaluation method of the present invention schematic flow sheet.
Attenuation curve schematic diagrams of the Fig. 2 for service life of key parts and components state.
Specific embodiment
In order to more specifically describe the present invention, below in conjunction with the accompanying drawings and specific embodiment is to technical scheme
It is described in detail.
Present embodiment by taking second-hand engineering machinery little Song PC360 digging machines as an example, the key components and partss bag of PC360 digging machines
Contain electromotor, hydraulic pump, hydraulic motor and banked direction control valves, as shown in figure 1, the second-hand engineering machinery appraisal and evaluation method include as follows
Step：
Step one：The each key components and partss of secondhand machinery are detected using dynamic monitor method, obtain each parts current
Performance parameter M, is compared with its performance parameter marginal value successively, and performance parameter normally enters next appraisal procedure.
In present embodiment, detection obtains electromotor earthquake intensity M=25mm/s, hydraulic pressure pump volumetric efficiency M=0.9, hydraulic motor
Volumetric efficiency M=0.9, banked direction control valves internal leakage M=10mL；Wherein electromotor earthquake intensity by velocity sensor picking rate value and is counted
Calculate earthquake intensity, hydraulic pressure pump volumetric efficiency and hydraulic motor volumetric efficiency flow value is gathered by flow transducer and calculate volumetric efficiency,
Banked direction control valves internal leakage is obtained by leakage stream gauge collection leakage rate when main valve is closed.
Step 2：According to step one gained key components and partss performance parameter, parts current age state is calculated.Concrete side
Method is as follows：
Set parts current age state is x, according to formulaIt is calculated the parts longevity
Life state, respectively x1、x2、x3、……、xn.
Wherein：M1For initial performance parameter under the brand-new state of parts, M2Critical performance ginseng when losing function for parts
Number, current age state x scope represent new engine for 0～100%, 0, and 100% representative reaches service life state namely loses
Critical state during function；Performance parameter initial value M when key components and partss are brand-new1, performance parameter marginal value M when losing function2,
Based on expert's practical engineering experience and theoretical analyzing evaluation, and big data analytical estimating can be combined and obtained.
Electromotor earthquake intensity original state M in present embodiment1=12mm/s, earthquake intensity marginal value M when losing function2=
180mm/s；Hydraulic pressure pump volumetric efficiency original state M1=0.98, volumetric efficiency marginal value M when losing function2=0.7；Hydraulic pressure horse
Reach volumetric efficiency original state M1=0.95, volumetric efficiency marginal value M when losing function2=0.7；Banked direction control valves internal leakage initial shape
State M1=0mL, internal leakage marginal value M when losing function2=30mL.
According to formulaIt is calculated electromotor, hydraulic pump, hydraulic motor and banked direction control valves
Current age state is respectively x1=7.74%, x2=28.57%, x3=20%, x4=33.33%.
Step 3：Gained service life state is calculated according to step 2 and obtains each parts attenuation quotient, concrete grammar is as follows：
Fig. 2 is attenuation curve p (x), and X-axis is service life state, and Y-axis is attenuation quotient, calculates the gained life-span according to step 2
State obtains corresponding attenuation quotient, respectively p (x in attenuation curve1)、p(x2)、p(x3)、……、p(xn)；Attenuation curve
As shown in Fig. 2 including shaped form drastically descending branch and linear scale descending branch.
Declining for electromotor, hydraulic pump, hydraulic motor and banked direction control valves is obtained by attenuation curve p (x) of Fig. 2 in present embodiment
Subtract coefficient and be respectively p (x1)=80%, p (x2)=60%, p (x3)=68%, p (x4)=57%.
Step 4：Second-hand engineering machinery metewand is calculated using following formula：
K=w1*p(x1)+w2*p(x2)+w3*p(x3)+…+wn*p(xn)
Wherein：w1、w2、w3、……、wnParts appraisal right weight values are respectively corresponded to, and parts appraisal right weight values are according to each
Critical component significance level and performance characteristics are preset and are obtained, 0 ＜ wi≤ 1 and
In present embodiment, the appraisal right weight values of electromotor, hydraulic pump, hydraulic motor and banked direction control valves are respectively w1=0.4, w2
=0.25, w3=0.2, w4=0.15, therefore the metewand K=0.6915 of little Song PC360 digging machines is finally calculated by above formula.
The above-mentioned description to embodiment is to be understood that for ease of those skilled in the art and apply the present invention.
Person skilled in the art obviously easily can make various modifications to above-described embodiment, and described herein general
Principle is applied in other embodiment without through performing creative labour.Therefore, the invention is not restricted to above-described embodiment, ability
Announcement of the field technique personnel according to the present invention, the improvement that makes for the present invention and modification all should be in protection scope of the present invention
Within.
Claims (7)
1. a kind of second-hand engineering machinery appraisal and evaluation method based on time shafts dynamic data monitor, comprises the steps：
(1) for arbitrary key components and partss in second-hand engineering machinery to be identified, which is carried out detecting using dynamic monitor method
Current performance parameters M to the key components and partss；
(2) the current age state parameter x of the key components and partss, according to described current performance parameters M, is calculated；
(3) according to described current age state parameter x by respective attenuation function, calculate that the key components and partss are corresponding to decline
Subtract coefficient；
(4) all key components and partss in second-hand engineering machinery to be identified are traveled through according to above-mentioned steps, to obtain each crucial zero
The corresponding attenuation quotient of part, and then the identification of indicator K of the second-hand engineering machinery is evaluated by weighted sum method.
2. second-hand engineering machinery appraisal and evaluation method according to claim 1, it is characterised in that：Inspection in step (1)
After measuring current performance parameters M, its critical performance parameter with the key components and partss when function is lost is compared, if
M then need not execute subsequent step beyond critical range, and second-hand engineering machinery does not have as the key components and partss lose function
Recycling is worth.
3. second-hand engineering machinery appraisal and evaluation method according to claim 1, it is characterised in that：Lead in step (2)
Cross the current age state parameter x that below equation calculates key components and partss：
Wherein：M1The initial performance parameter for being the key components and partss under brand-new state, M2Function is being lost for the key components and partss
When critical performance parameter.
4. second-hand engineering machinery appraisal and evaluation method according to claim 3, it is characterised in that：For arbitrary crucial zero
Part, its initial performance parameter M1With critical performance parameter M2And combined with theoretical analyzing evaluation based on expert's practical engineering experience
Big data analytical estimating is obtained.
5. second-hand engineering machinery appraisal and evaluation method according to claim 1, it is characterised in that：When 0 in step (3)
During≤x ＜ 10%, the attenuation function is the nonlinear curve function for drastically declining；When 10%≤x≤100%, described decline
Subtraction function is the linear line function that ratio declines.
6. second-hand engineering machinery appraisal and evaluation method according to claim 1, it is characterised in that：Lead in step (4)
Cross the identification of indicator K that below equation calculates second-hand engineering machinery：
K=w1*p(x1)+w2*p(x2)+w3*p(x3)+…+wn*p(xn)
Wherein：x1～xnThe current age state parameter of the 1st to n-th key components and partss, p () in respectively second-hand engineering machinery
For attenuation function, p (x1)～p (xn) the corresponding attenuation quotient of the 1st to n-th key components and partss in second-hand engineering machinery is respectively,
N is the total number of key components and partss in second-hand engineering machinery, w1～wn1st to n-th key zero in respectively second-hand engineering machinery
The weight coefficient of part.
7. second-hand engineering machinery appraisal and evaluation method according to claim 6, it is characterised in that：Described weight coefficient w1
～wnSignificance level and performance characteristics according to each key components and partss sets, and
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103543019A (en) * | 2013-10-28 | 2014-01-29 | 合肥英塔信息技术有限公司 | Method and system for quantifying evaluation and estimation of second-hand automobiles |
| US20150134192A1 (en) * | 2012-05-25 | 2015-05-14 | Honda Motor Co., Ltd. | External diagnosis device, vehicle diagnosis system and vehicle diagnosis method |
-
2016
- 2016-10-25 CN CN201610941373.8A patent/CN106503905A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150134192A1 (en) * | 2012-05-25 | 2015-05-14 | Honda Motor Co., Ltd. | External diagnosis device, vehicle diagnosis system and vehicle diagnosis method |
| CN103543019A (en) * | 2013-10-28 | 2014-01-29 | 合肥英塔信息技术有限公司 | Method and system for quantifying evaluation and estimation of second-hand automobiles |
Non-Patent Citations (2)
| Title |
|---|
| 白宁宇: "关于汽车价值评估中的成新率确定放大的探讨", 《中国资产评估》 * |
| 胡光艳: "基于新报废标准的二手车评估方法浅议", 《科技风》 * |
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Application publication date: 20170315 |