CN114970904A - Digital adjustment method for contact network operation and maintenance resources based on defect processing - Google Patents
Digital adjustment method for contact network operation and maintenance resources based on defect processing Download PDFInfo
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Abstract
The invention provides a defect processing-based digital adjustment method for contact network operation and maintenance resources, which comprises the following steps: counting N parts and equipment before the ranking of the historical defect record table, and M parts and equipment before the ranking of the historical maintenance record table; when a worker of a single maintenance plan is adjusted according to M parts and equipment before ranking; adjusting the allocation amount of maintenance resources according to a historical defect record table with an anchor section as a unit; and correcting the health state index of the contact network system by taking the defects of N parts and equipment before ranking as the quality index of the equipment, evaluating the health state of the contact network system, calculating the health degree calculation time point of the contact network at the sub-health state or below, and distributing the allocation amount of maintenance resources when the maintenance plan worker works. The digital analysis of time consumption and occurrence frequency based on key defects is combined with distribution and change of the health degree of the anchor section of the contact net, so that the digital process of operation and maintenance of the contact net can be obviously improved.
Description
Technical Field
The invention belongs to the field of operation, maintenance and management of a rail transit overhead line system, and particularly relates to a defect processing-based digital adjustment method for overhead line system operation and maintenance resources.
Background
By the end of 2021, a metro line is opened up at 8000km in China, related professional management and operation and maintenance personnel are established as doctors of the metro line to guarantee normal operation of the train, the operation and maintenance personnel carry out regular maintenance operation, after a defect is found and reported to an operation and maintenance management center, the operation and maintenance management center issues a work order to complete defect maintenance operation, and inspection is an effective inspection means for finding a fault or defect symptom.
The subway operation in China is carried out in a traditional operation mode of organizing operation in a mode of combining periodic maintenance and simultaneous maintenance, the occupied manpower inspection time is long, and the operation effect is general; the occupied material resource is large, and spare parts are not used up until the upper limit of the storage period is reached. Additionally, the performance calculation mode of the operation and maintenance personnel usually takes the number of the discovered defects and the processed defects as evaluation indexes, and usually does not process the potential defects or the defects which do not form a defect confirmation state.
The existing defect processing mode has the problems of lacking of a processing method for potential defects and low manpower and material resource efficiency in operation and maintenance resource management.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a defect processing-based digital adjustment method for contact network operation and maintenance resources based on digital analysis of time consumption and occurrence frequency of key defects and combined with distribution and change of the health degree of anchor sections of the contact network, and obviously improves the digital process of contact network operation and maintenance.
The technical scheme adopted by the invention is as follows: a digital adjustment method for contact network operation and maintenance resources based on defect handling comprises the following steps:
step 1: counting N parts and equipment before the ranking of the historical defect record table in one period, counting M parts and equipment before the ranking of the historical maintenance record table in one period,
step 2: for M parts and equipment before ranking, respectively calculating the working hours of a single maintenance plan
：
Wherein,
the number of the personnel invested in a single operation is shown,
indicates the time when the actual work is completed,
indicating loginRecording the operation time;
and step 3: digital utilization rate of single maintenance plan
：
Wherein,
indicates the number of times the maintenance plan was implemented,
is as follows
When the maintenance worker is in secondary operation;
if it is
If the number of the maintenance plan workers is larger than the preset value, the number of the maintenance plan workers is increased;
if it is
If the maintenance plan is not changed, the maintenance plan is not changed;
if it is
The number of the single maintenance plan workers is reduced;
wherein,
in order to manage the desired upper threshold value,
a lower threshold desired for management;
and 4, step 4: historical defect of one period according to anchor segment unitThe record table is used for counting and calculating the risk coefficient of one period of the anchor segment
：
Wherein,
is the number of defect classes occurring within the anchor segment,
is shown as
The defect of the seed crystal is that the seed crystal,
is shown as
The number of the seed defects is increased,
is shown as
The risk degree of the seed defect is the ratio of the number of the type of defects in the space W in the time T range to the number of the type of defects in the whole line,
and 5: calculating maintenance resource utilization
，
if it is
The maintenance resource allocation is reduced;
if it is
If so, maintaining the resource allocation quantity unchanged;
if it is
Then the maintenance resource allocation is increased;
step 6: taking N defects of parts and equipment before ranking as an equipment quality index of the health state index of the contact network system, obtaining the corrected health state index of the contact network system, evaluating the health state of the contact network system, obtaining a health value and a health grade, wherein S (t) is the health value of the contact network system at the time t, H (t) represents the health grade corresponding to the health value at the time t,
table 1 table of correspondence between health degree value and health grade of indexes of health state of contact network system
Determining a hidden state transition probability matrix using a hidden Markov model construction method
，
Wherein m is the number of health values in the history, and P is
Of time of day
In the state of the device, the device is in a closed state,
is shifted in time to
The probability of a state is determined by the probability of the state,
the current health value of the contact net is S (0), then
The distribution probability of the contact net health degree of each health degree calculation time point can be calculated by the following formula:
when it comes to
In the matrix, the extracted health value is lower than
When the sum of probabilities is greater than
In the meantime, the health status of the catenary is sub-healthy and below
The individual health degree calculates the high contact net inspection frequency on the premise of time point, and allocates the maintenance schedule workers and the maintenance resource ration.
Further, in step 1, ranking is counted from most to least according to the number of records.
Further, in step 3, when the adjusted single maintenance schedule is worked
：
Further, in step 4, T is taken for 3 weeks and W is taken for 2 anchor segments.
Further, in step 6, t 1 Get 90, t 2 Taking the weight of the sample to be 82,
taking 50 percent.
Further, in the above-mentioned case,
taking out 70 percent of the raw materials,
taking 50 percent.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, maintenance resources are reasonably distributed and the operation and maintenance efficiency is improved through dynamic change and probability estimation of the health degree of the anchor section of the contact network.
2. The invention takes the potential defects and the predicted defects into consideration by calculating the maintenance resource utilization rate and the digital health degree historical record as the operation and maintenance performance and resource management mode, and is an important ring for converting scheduled repair into state repair.
3. The invention is a dynamic comprehensive adjustment, which is accompanied with the accumulated growth of actual operation management and operation experience, and obviously improves the matching of the operation and maintenance strategy and the characteristics of the operation line.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention;
FIG. 2 is a flow chart of a health status according to an embodiment of the invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
The embodiment of the invention provides a defect processing-based digital adjustment method for contact network operation and maintenance resources, which comprises the following steps as shown in figures 1-2
Step 1: and counting N parts and equipment before the historical defect record list ranking in one period, counting M parts and equipment before the historical maintenance record list ranking in one period, and counting the ranking according to the number of recording times. One cycle is 2 years. Taking several items before the ranking, defects and repairs with small occurrence probability can be omitted, for example, defects and repairs which occur only 1-2 times within 2 years can be omitted.
Step 2: for M parts and equipment before ranking, respectively calculating the time of a single maintenance plan worker
：
Wherein,
the number of the personnel invested in a single operation is shown,
indicating the time at which the actual job is completed,
indicating a registration job time;
and step 3: digital utilization rate of single maintenance plan
：
Wherein,
indicates the number of times the maintenance plan was implemented,
is as follows
When the maintenance worker is in secondary operation;
if it is
If the number of the maintenance plan workers is larger than the preset value, the number of the maintenance plan workers is increased;
if it is
If the maintenance plan is not changed, the maintenance plan is not changed;
if it is
The number of the single maintenance plan workers is reduced;
wherein,
in order to manage the desired upper threshold value,
in order to manage the desired lower threshold value,
in particular, when the adjusted single maintenance schedule is worked
：
For all adjusted single maintenance schedule workers
Summing to obtain the sum of the maintenance schedule workers of the M parts and equipment before the ranking
；
And 4, step 4: counting the historical defect record table of one period according to the unit of the anchor segment, and calculating the risk coefficient of one period of the anchor segment
：
Wherein,
is the number of defect classes occurring within the anchor segment,
is shown as
The defect of the seed is that the seed is,
is shown as
The number of the seed defects is increased,
is shown as
And (3) the risk degree of the defects is determined, wherein the risk degree of a single defect is the ratio of the number of the defects in the space W in the time T range to the number of the defects in the whole line, T can be taken for 3 weeks, and W can be taken for 2 anchor segments for calculation.
And 5: calculating maintenance resource utilization
，
If it is
The maintenance resource allocation is reduced;
if it is
If so, maintaining the resource allocation quantity unchanged;
if it is
The repair resource allocation increases.
Step 6: and taking the defects of N parts and equipment before ranking as the equipment quality index of the health state index of the overhead line system, and obtaining the corrected health state index of the overhead line system, wherein the index is shown in a table 2.
Table 2 index and weight table of health status index of contact network system
The health state index of the contact network system is a first-level index, is formed by four second-level indexes which are respectively a dynamic and static detection evaluation index
Quality index of equipment
Index of maintenance degree
And availability index
。
Dynamic and static detection evaluation index
The method is established by two three-level indexes, namely static operation quality CQI and dynamic operation quality CDI. The static operation quality CQI is constructed by four levels of indexes, namely a static pull value CQI of an anchor point S Fixed point static contact line height CQI H Height smoothness CQI of adjacent positioning point contact line D And contact line height smoothness in span CQI Hα . The dynamic running quality CDI is constructed by four levels of indexes which are respectively dynamic pull-out values CDI of positioning points S Positioning point dynamic contact line height CDI H Bow net contact force component CDI F Arc rate CQI Aα 。
Quality index of equipment
The method is characterized by comprising six three-level indexes, namely contact suspension defects, positioning support device defects, single-phase equipment defects, other cause defects, additional suspension defects, support columns, stay wires and foundation defects.
Index of maintenance degree
The three-level indexes are established and respectively mean man-hour maintenance, mean maintenance duration and repair rate.
The availability index consists of first-level defects, and common first-level defects comprise tripping, bowing, wire breakage, water seepage, insulation faults, driving accidents, pillar breakage, natural disasters and the like.
The index values of the static operation quality CQI and the dynamic operation quality CDI are respectively the sum of the product of the index values of all four levels of indexes corresponding to the static operation quality CQI and the product of four levels of index weights.
With static running quality CQI asExample, the calculation process of index value is illustrated, referring to table 2, CQI =0.17 × CQI S +0.17*CQI H +0.33*CQI D +0.33*CQI Hα
The calculation method and data source of the index values of the three-level indexes corresponding to the equipment quality indexes are shown in table 3:
TABLE 3 index value calculation and data Source Table for three-level index corresponding to Equipment quality index
The calculation method and data source of the index values of each three-level index corresponding to the maintenance degree index are shown in table 4:
table 4 index value calculation and data source table of three-level indexes corresponding to the maintenance degree index
And the index values of the dynamic and static detection evaluation index, the equipment quality index and the maintenance degree index are respectively the sum of the products of the index values of all the corresponding three-level indexes and the three-level index weight.
Availability index
When the first-order defect occurs,
(ii) a When the first-order defect does not occur,
。
the index value of the health state index of the contact network system is
，
Respectively weighing secondary indexes corresponding to the dynamic and static detection evaluation index, the equipment quality index and the maintenance degree index; referring to table 1, according to the characteristics of the subway line,
are set to 0.4, 0.5 and 0.1, respectively.
And obtaining the health grade of the contact network system by cumulatively distributing index values of the health state indexes of the contact network system. The health grade of the contact network system is divided into four grades of health, sub-health, morbidity and failure, the evaluation limits t1 and t2 are selected to be values of the cumulative distribution function of the health state indexes of the contact network system in the evaluated line, the t1 interception probability value is 90%, and the t2 interception probability value is 82%. The conditions of the catenary system corresponding to each grade of the catenary system health grade are shown in table 1.
And (D) evaluating the health state of the contact network system according to the corrected health state index of the contact network system to obtain a health value and a health grade, wherein S (t) is the health value of the contact network system at the time t, and H (t) represents the health grade corresponding to the health value at the time t.
Determining a hidden state transition probability matrix using a hidden Markov model construction method
，
Wherein m is the number of health values in the history, and P is
Of time of day
In the state of the device, the device is in a closed state,
is shifted in time to
Probability of state.
The current health value of the contact net is S (0), then
The distribution probability of the contact net health degree of each health degree calculation time point can be calculated by the following formula:
when is coming into contact with
In the matrix, the extracted health value is lower than
When the sum of probabilities is greater than
In the meantime, the health status of the catenary is sub-healthy and below
And (4) calculating the high contact network patrol inspection frequency on the premise of a time point by the individual health degree, and reasonably distributing the maintenance resource allocation amount of the maintenance plan workers adjusted in the step (3) and the maintenance resource allocation amount adjusted in the step (5).
In FIG. 2, the probability of sub-healthy and sub-healthy states at time point 3 is 0.55, which is greater than
Before time point 3, the frequency of inspection tour of the overhead line system needs to be increased.
The present invention has been described in detail with reference to the embodiments, but the description is only illustrative of the present invention and should not be construed as limiting the scope of the present invention. The scope of the invention is defined by the claims. The technical solutions of the present invention or those skilled in the art, based on the teaching of the technical solutions of the present invention, should be considered to be within the scope of the present invention, and all equivalent changes and modifications made within the scope of the present invention or equivalent technical solutions designed to achieve the above technical effects are also within the scope of the present invention.
Claims (6)
1. A digital adjustment method for contact network operation and maintenance resources based on defect processing is characterized by comprising the following steps: the method comprises the following steps:
step 1: counting N parts and equipment before the ranking of the historical defect record table in one period, and counting M parts and equipment before the ranking of the historical maintenance record table in one period;
step 2: for M parts and equipment before ranking, respectively calculating the working hours of a single maintenance plan
：
Wherein,
the number of the personnel invested in a single operation is shown,
indicating the time at which the actual job is completed,
indicating a registration job time;
and step 3: digital utilization rate of single maintenance plan
：
Wherein，
Indicates the number of times the maintenance plan was implemented,
is as follows
When the maintenance worker is in secondary operation;
if it is
If the number of the maintenance plan workers is larger than the preset value, the number of the maintenance plan workers is increased;
if it is
If the maintenance plan is not changed, the maintenance plan is not changed;
if it is
The number of the single maintenance plan workers is reduced;
wherein,
in order to manage the desired upper threshold value,
a lower threshold desired for management;
and 4, step 4: counting the historical defect record table of one period according to the unit of the anchor segment, and calculating the risk coefficient of one period of the anchor segment
：
Wherein,
is the number of defect classes occurring within the anchor segment,
is shown as
The number of the seed defects is increased,
is shown as
The risk degree of the defects is planted, and the risk degree of a single defect is the ratio of the number of the defects in the space W in the time T range to the number of the defects in the whole line;
and 5: calculating maintenance resource utilization
，
Wherein,
the total number of the M parts and maintenance planning workers of the equipment before the name is given;
if it is
The maintenance resource allocation is reduced;
if it is
If so, maintaining the resource allocation quantity unchanged;
if it is
Then the maintenance resource allocation is increased;
step 6: taking N defects of parts and equipment before ranking as an equipment quality index of the health state index of the contact network system, obtaining the corrected health state index of the contact network system, evaluating the health state of the contact network system, obtaining a health value and a health grade, wherein S (t) is the health value of the contact network system at the time t, H (t) represents the health grade corresponding to the health value at the time t,
table 1 table of correspondence between health degree value and health grade of indexes of health state of contact network system
Determining a hidden state transition probability matrix using a hidden Markov model construction method
，
Wherein m is the number of health values in the history, and P is
Of time of day
In the state of the device, the device is in a closed state,
is shifted in time to
The probability of a state is determined by the probability of the state,
the current health value of the contact net is S (0), then
The distribution probability of the contact net health degree of each health degree calculation time point can be calculated by the following formula:
when is coming into contact with
In the matrix, the extracted health value is lower than
When the sum of probabilities is greater than
In the meantime, the health status of the catenary is sub-healthy and below
The individual health degree calculates the high contact net inspection frequency on the premise of time point, and allocates the maintenance schedule workers and the maintenance resource ration.
2. The digital adjustment method for the operation and maintenance resources of the overhead line system based on the defect handling of claim 1, which is characterized in that: in step 1, the ranking is counted from many times according to the recording times.
3. The defect handling-based digital adjustment method for contact network operation and maintenance resources as claimed in claim 1, wherein: in step 3, when the adjusted single maintenance plan worker works
：
4. The digital adjustment method for the operation and maintenance resources of the overhead line system based on the defect handling of claim 1, which is characterized in that: in step 4, T is taken for 3 weeks and W is taken for 2 anchor segments.
5. The digital adjustment method for the operation and maintenance resources of the overhead line system based on the defect handling of claim 1, which is characterized in that: in step 6, t 1 Taking out the raw materials of 90 degrees,
taking 50 percent.
6. The digital adjustment method for the operation and maintenance resources of the overhead line system based on the defect handling of claim 1, which is characterized in that:
taking out 70 percent of the raw materials,
taking 50 percent.
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| CN116342088A (en) * | 2023-03-29 | 2023-06-27 | 中建三局集团有限公司 | Efficient filter replacement strategy method based on intelligent operation and maintenance platform |
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