CN115700679A - Automobile disassembled part management method based on Flink - Google Patents
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Abstract
The invention discloses a method for managing automobile disassembled parts based on Flink, which belongs to the technical field of automobiles and comprises the following steps: the method comprises the following steps: accessing a historical database of disassembled automobile parts, and determining all classifications of the disassembled automobile parts through a business classification model; step two: identifying and analyzing the disassembled parts and the corresponding vehicle type information according to the classification of the disassembled parts determined in the step one, sequencing the disassembled parts according to the inventory value of the disassembled parts, dividing the disassembled parts into three types of garbage, basic raw materials and recycled parts according to the price, carrying out market sale on the disassembled parts which have market requirements and can be used as recycled parts and the resource raw materials of the crushed disassembled parts which are used as the basic raw materials, and predicting the monthly sale condition of the disassembled parts according to a pre-estimated value model so as to guide the sale; directly treating the disassembled piece divided into the garbage as the garbage; step three: establishing a Flink program at a Client, namely a Client, and realizing each link in the step two through the Flink; the invention can efficiently manage the disassembled parts in the stock and realize the maximization of economic value.
Description
Technical Field
The invention belongs to the technical field of automobiles, and particularly relates to an automobile disassembled part management method based on Flink.
Background
As far as 2020, the quantity of automobiles in China reaches 2.81 hundred million, according to the lowest international scrapping proportion level of 5%, the quantity of scrapped automobiles in China is estimated to exceed 1400 million in 2020, but according to a statistical result, the quantity of scrapped automobiles recovered and disassembled in 2020 is only 206.6 million in China, the recovery rate of scrapped automobiles is not high enough, most other automobiles illegally enter a remote area market and an illegal disassembly and assembly market again, which is the crux of the scrapped automobile recovery industry in China, the fundamental reason is that the value of scrapped automobiles in the disassembly of a regular automobile factory is reflected, and the people can not be recognized by the scrapped automobiles.
After the scraped car is disassembled, one part of the scraped car is repaired and renovated, namely, the scraped car is remanufactured and then recycled, one part of the scraped car is crushed to be used as waste metal and waste plastic which are sold to metal and plastic regeneration enterprises to be used as production raw materials for recycling, and the other part which can not be recycled is used as waste material for burning or landfill treatment, wherein the economic value is gradually reduced.
According to statistics, in developed countries, the utilization rate of parts of disassembled scrapped automobiles is as high as 95%, the energy consumption of remanufactured automobiles is only 15% of that of newly manufactured automobiles, and the remanufacturing is a main way for realizing the maximum value of scrapped automobiles, but the remanufacturing needs to occupy a large amount of inventory of disassembled parts, so that the value gap of all people of scrapped automobiles is reduced in order to realize the maximum economic value of scrapped automobiles, and a method for realizing the optimized management of inventory of disassembled parts of scrapped automobiles is needed by a disassembling factory.
The invention patent with publication number CN111950742A discloses a high-efficiency management system and method for scrapped and disassembled old automobiles, which is characterized in that information collection is carried out to provide support for the recovery processing of old automobiles by setting a service framework of an information integration center based on a resume of an RFID information system, and relevant information is fed back to automobile manufacturers and government supervision departments; the invention focuses on realizing the all-round tracking and monitoring of the whole process of the disassembled parts of the scraped car, but does not have an optimized management scheme for the inventory system of the disassembled parts.
Disclosure of Invention
The invention aims to solve the problems in the background art, and provides a method for managing disassembled parts of automobiles based on Flink, which can systematically and effectively manage and recycle the disassembled parts of automobiles and realize the standardization and the standardization of inventory management of disassembled scraped automobiles.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
a vehicle disassembled part management method based on Flink comprises the following steps:
s1: accessing a historical database of disassembled parts of the automobile, and determining all the classifications of the disassembled parts through a business classification model;
s2: identifying and perfecting disassembled piece information, and processing the disassembled piece information; the method specifically comprises the following steps:
s21, identifying and analyzing each disassembled part and vehicle type information corresponding to the disassembled part according to all the classification of the disassembled parts determined in the step one, inputting the information into a software system, and then perfecting the information by the software system;
s22, distinguishing whether the disassembled parts have market demands; matching disassembled parts with market demands with corresponding markets for sale; sorting the materials without market demands according to the stock values of the materials and determining the materials to be used as basic raw materials or stock recycling parts for garbage treatment or resource utilization after crushing;
s23, market selling the disassembled parts which are judged to have market demands and are used as the reusable parts; the value of the part of temporarily unsold disassembled parts is periodically updated, and the part of temporarily unsold disassembled parts is periodically determined to be used as basic raw materials or stock recycled parts after garbage treatment or crushing according to the value; meanwhile, forecasting the occupation ratio of each sales channel of disassembled parts in the next month through a pre-estimated value model;
s24, carrying out market sale on all the resource raw materials which are taken as the base raw materials and are obtained after the disassembled parts are crushed; and the value of the system is updated regularly, and the system can be used for continuously selling or treating as garbage regularly according to the value of the system.
S3: intelligently managing and processing the steps through the Flink; and (2) creating a Flink program at a Client, namely a Client, mapping the step two into operators, mapping each link in the step two into a Subtask, namely a Subtask, submitting the Flink program to a job manager, namely a JobManager, by the Client, and uniformly distributing the Flank program to each task manager, namely the TabManager according to the priority of each Subtask in sequence for processing.
Preferably, the service classification model in step S1 is constructed according to the pareto effect, and the formula of the service classification model is
Wherein S is all data addresses of the automobile disassembled part historical database, f (x) is the automobile disassembled part information corresponding to the data address x, and the solution of the formula is the pareto optimal solution, namely the minimum classified unit part of all automobile disassembled parts.
Preferably, the inventory value in step S22 is calculated by the formula:
stock value = number of vehicle model sold × annual replacement coefficient of disassembled product × price of disassembled product
Calculating to obtain; wherein the annual replacement coefficient of the disassembled piece needs to be set according to different disassembled pieces, and the value range is 0.05-0.2.
Preferably, the predictive value model in step S23 is constructed according to a markov transfer matrix method, and the predictive value model has the formula
x(k+1)＝x(k)*P
Wherein X (k) represents the sales state vector of the disassembled piece in the current month, and is established according to the sales ratio of the disassembled piece in each channel; p represents a one-step transition probability matrix, and is established according to the proportion change of each sales channel of the disassembled product; x (k + 1) disassembled sales state vector of the next month;
the proportion of the disassembled piece in each sales channel in the next month is estimated through the pre-estimation value model, and the sales can be guided.
Preferably, in step S21, the information of the disassembled product and the corresponding vehicle model is identified and analyzed by combining the photographed image identification and the camera high-definition identification.
Preferably, the software system in step S21 searches for information for perfecting the disassembled part and the vehicle model corresponding to the disassembled part through the internet.
Preferably, the disassembled piece information which is shot and identified and analyzed by the camera comprises the type of the disassembled piece, the appearance color of the disassembled piece, the damage degree and the functional condition;
preferably, the vehicle information perfected by the software system comprises the vehicle weight, the driving mode, the gasoline vehicle displacement and the type and the capacity of the electric vehicle battery; the disassembled piece information perfected by the software system comprises configuration information, price information and market demand information of the disassembled piece.
The invention has the beneficial effects that:
1. the business classification model constructed according to the pareto effect can distinguish the minimum classification units of all disassembled parts, avoids omitting partial disassembled parts during inventory management, and improves the reliability of a management system.
2. According to the estimated value model constructed by the Markov transfer matrix method, the market sale direction of the disassembled parts can be guided, and the sales volume of the disassembled parts can be increased, so that the economic benefit of the inventory disassembled parts can be maximized, and the virtuous circle of the market on the standard management of the disassembled parts of scraped cars is promoted.
3. The method and the system can carry out unified management on the disassembled parts according to the inventory value of the disassembled parts, can fully realize the economic value of the disassembled parts, can effectively clean the inventory of the disassembled parts in time, and establish a feasible standard for standardization and standardization of inventory management of the disassembled parts of the automobile.
4. The whole management of the automobile disassembled parts is based on a Flink processing frame, and the Flink has the characteristics of high throughput, low delay and high performance, so that the inventory management efficiency of the disassembled parts can be greatly improved.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a schematic Flink flow diagram;
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
It should be noted that the terms "upper", "lower", "left", "right", "front", "back", etc. used in the present invention are for clarity of description only, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms may be changed or adjusted without substantial technical change.
As shown in FIG. 1, a method for managing automobile disassembled parts based on Flink comprises the following steps:
step one, accessing a historical database of disassembled parts of the automobile, and determining all the classifications of the disassembled parts through a business classification model;
the specific description is as follows:
firstly, accessing a historical database of disassembled parts of the automobile
Secondly, the business classification model is constructed according to the pareto effect, and the formula of the business classification model is
Wherein S is all data addresses of a history database of disassembled automobile parts, and f (x) is the information of the disassembled automobile part corresponding to the data address x;
given a feasible point x * Is epsilon of S, having
With f (x) * )<f (x), then x * An absolute optimal solution known as the multi-objective programming problem; if x ∈ S does not exist, so that f (x)<f(x * ) Then x * The method is called an effective solution of the multi-objective programming problem, the effective solution of the multi-objective programming problem is also called a pareto optimal solution, and the number of the solutions can be multiple;
the solution of the formula is a pareto optimal solution, namely the minimum classified unit of all automobile disassembled parts; by adopting the business classification model, all possible classification of the disassembled parts can be obtained, so that possible hidden classification of the disassembled parts can be found, and the reliability of a management system can be improved.
Step two, establishing a process for managing the disassembled automobile parts according to the classification of the disassembled automobile parts obtained in the step one;
1. the vehicle type data management module: vehicle type information is input into a software system in a mode of combining photographed picture identification and camera high-definition identification, and the software system searches configuration information of all parts of the vehicle type on the internet, such as: information such as vehicle weight, driving mode, gasoline vehicle displacement, electric vehicle battery type and capacity and the like; and regional sales information for each year of vehicle model.
2. A disassembly data management module: through the mode that combines together of picture identification and camera high-definition discernment of shooing, will disassemble a piece information input to software system, software system retrieves the configuration information that this motorcycle type corresponds to disassembling at the internet, for example: weight, material composition, technical parameters, and the like; also price information such as: taobao quotation, 4S shop quotation and insurance quotation; and market demand information, such as various purchasing information like a leisure fish net.
3. A disassembled piece integrity evaluation module: through the mode that combines together of picture discernment and the high-definition discernment of camera of shooing, evaluate the integrity of disassembling the piece, the main outward appearance quality, the damaged degree of evaluating disassembling the piece, and then give the integrity information that the piece was disassembled in the correspondence, include: appearance color, degree of damage and functional condition.
4. A recycling and resource decision module: and matching and calculating according to the regional sales volume information of the disassembled part corresponding to the vehicle type in each year and the price information, market demand and integrity information of the disassembled part. If the market demand information exists, the market demand information is matched automatically according to the corresponding price information;
without market demand information, the inventory value is calculated according to vehicle type sales information and disassembled part price, and the calculation formula is as follows: the stock value = the number of vehicle model sales x the annual replacement coefficient of the disassembled part x the price of the disassembled part, wherein the replacement coefficient of the disassembled part needs to be set according to different disassembled parts and is normally 0.05-0.2;
and then sorting according to different inventory values, setting a percentage ranking low limit value a and a percentage ranking high limit value b of the inventory management values, and further making a final decision on different disassembled parts, wherein the specific decision making method comprises the following steps:
assuming that the corresponding inventory value percentage of the disassembled parts is ranked as V,
the disassembled part of V < a is used for garbage treatment and is directly sent to a garbage landfill or incineration treatment plant for treatment;
crushing disassembled parts with a being more than or equal to V < b, and then recycling the crushed parts as basic raw materials;
taking the disassembled part with V less than or equal to b as a reuse part;
note that the relationship of a and b is 0-woven-a-woven-b-woven-100%.
5. An artificial intelligence disassembles a piece and recycles inventory management module: judging that the recycling and resource decision module has market demand and can be used as a disassembled part of a reusable part, releasing disassembled part information on a network platform, such as a spare fish net, a treasure-washing net, a transfer net and the like, and automatically deducting corresponding inventory if purchasing; the inventory value of the disassembled parts is updated regularly, the inventory value of the disassembled parts is reduced by a certain proportion every month, for example, the inventory value is reduced by 10% every month, the disassembled parts are sorted according to the new inventory value after updating, the final direction of the different disassembled parts is decided regularly, and the specific decision method is the same as the recycling and resource decision module.
The stock price value data of the disassembled parts in the current month is put into an estimated value model to predict the occupation ratio of each sales channel of the disassembled parts in the next month, so that the sales of the disassembled parts are guided, and the economic value of the disassembled parts in the stock is maximized.
The estimated value model is constructed according to a Markov transfer matrix method, and the estimated value model formula is
X(k+1)＝X(k)*P
Wherein X (k) represents the sales state vector of the disassembled piece in the current month, and is established according to the sales ratio of the disassembled piece in each channel; p represents a one-step transition probability matrix, and is established according to the proportion change of each sales channel of the disassembled product; x (k + 1) disassembled sales state vector of the next month;
the predictive value model is explained below by way of a specific example:
firstly, acquiring a monthly network platform through a disassembled library database: the idle fish net, the treasure washing net and the transfer net, and the sales condition of the disassembled parts accounts for the stock in the month.
Suppose that the monthly network platform has initial inventory duty ratio:
idle fishing nets = idle fishing net sales volume in disassembled library accounts for 30% of total sales volume
Taobao (Taobao) net = the sale amount of the Taobao net existing in the disassembled parts warehouse accounts for 20% of the total sale amount
Rotating network = the sale amount of the Internet of things accounts for 50% of the total sale amount due to existence of a disassembled library
Suppose, the stock flow ratio of the network platform in this month:
idle fishnet = the sale amount of idle fishnet is 40% in this month, the rest 60% is transferred to 30% of the Taobao net and the transferring net respectively
The investment of the panning net = idle fish net in this month is 30% when the investment is transferred to the panning net
Transfer net = 30% in the amount of lost fish net transferred to the transfer net in this month
Suppose, the stock flow ratio of the network platform in this month:
the treasure washing net = the sale amount of the treasure washing net is 30% in this month, the rest 70% is transferred to the idle fish net 60% and the transfer net 10%
Leisure fish net = 60% of the sale amount of the leisure fish net transferred to treasure washing net in this month
Transferring net = transferring net transferring amount of idle fish net in this month is 10%
Suppose that the monthly network platform has inventory flowing duty ratio:
rotating net = 30% of the total amount of fish sold through rotating net in this month, and the rest 70% of fish is rotated to 60% of idle fish net and 10% of treasure washing net
Leisure fish net = 10% of the sale amount of the leisure fish net transferred to treasure washing net in this month
Taobao net = 60% of the total cost of transferring from slack fish net to transferring net in this month
According to the above data, the sales status vector x (0) = (0.3.2.0.5) of the beginning of the disassembled month, i.e. the last month,
one-step transition probability matrix
According to the Markov one-step transition probability matrix formula:
calculating to obtain each network platform in the month: idle fish net, treasure washing net and change the net, disassemble the sale of a part and account for the proportion condition:
54% of idle fish net, 20% of panning net and 26% of rotating net, and the specific calculation process is as follows
The first operation is as follows: 0.3x0.4+0.2x0.6+0.5x0.6=0.54
And (3) second operation: 0.3x0.3+0.2x0.3+0.5x0.1=0.20
And (3) third operation: 0.3x0.3+0.2x0.1+0.5x0.3=0.26
Each network platform in the next month: idle fish net, panning net and transfer net, the ratio probability prediction of the sale of the disassembled parts:
the sales status vector x (1) = (0.54 0.2.0.26) for the disassembled piece of this month,
from Markov one-step transition probability matrix formulation
Obtaining the sales duty ratio of each network platform in the next month of the disassembled piece as follows: 49.2% of idle fish net, 24.8% of panning net and 26% of rotary net, and the specific calculation process is as follows:
the first operation is as follows: 0.54x0.4+0.2x0.6+0.26x0.6=0.492
And (3) second operation: 0.54x0.3+0.2x0.3+0.26x0.1=0.248
And (3) third operation: 0.54x0.3+0.2x0.1+0.26x0.3=0.26
The above calculation results were rounded off
And (4) obtaining the occupation ratio of each sales channel of the disassembled piece in the next month through the estimated value model, and selling the sales channels with more occupation ratio in a emphasizing manner, thereby maximizing the economic value of the disassembled piece.
6. A disassembled resource inventory management module: releasing broken resource raw material information on a network platform, such as a free fish net, a treasure-washing net and the like, automatically deducting corresponding inventory if purchasing, regularly updating resource inventory value, deducting 10% every month, sorting according to new inventory value after updating, regularly making a decision on different raw material information, and directly sending the different raw material information to a refuse landfill or incineration treatment plant according to refuse treatment after the inventory value percentage of disassembled pieces is lower than a set value c (0 to c to 100%), and recording the carbon neutralization value in the refuse landfill or incineration treatment plant; continued sales above c.
Step three, a Flink program, namely a thread pool, is created at a Client, namely a Client, the step two is mapped into an operator, and the detailed processes of 6 links in the step two are mapped into subtasks, namely subtasks; then submitting the Flink program to an operation manager, namely JobManager through a Client, wherein the JobManager gives priority to the Subtask of the sales information issued by each network platform in the link 5 based on a result obtained by the [ estimated value model ], and the priority is higher than the priority of the majority; and uniformly distributing the subtisks to each task manager according to the priority order, namely, the task manager processes.
As shown in fig. 2, by adopting the Flink processing architecture, the unique thread pool thereof shares the task slot, i.e. the task slot characteristic, thereby realizing the characteristics of high throughput, low delay and high performance, and greatly improving the efficiency of the inventory management of the disassembled parts
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (8)
1. A method for managing automobile disassembled parts based on Flink is characterized by comprising the following steps: the method comprises the following steps:
s1: accessing a historical database of disassembled automobile parts, and determining all classifications of the disassembled automobile parts through a business classification model;
s2: identifying and perfecting information of disassembled parts and processing the information; the method specifically comprises the following steps:
s21, identifying and analyzing each disassembled part and vehicle type information corresponding to the disassembled part according to all the classification of the disassembled parts determined in the step one, inputting the information into a software system, and then perfecting the information by the software system;
s22, distinguishing whether the disassembled parts have market demands; matching disassembled parts with market demands with corresponding markets for sale; sorting the materials without market demands according to the stock values of the materials and determining the materials to be used as basic raw materials or stock recycling parts for garbage treatment or resource utilization after crushing;
s23, market selling the disassembled parts which are judged to have market demands and are used as the reusable parts; the value of the part of temporarily unsold disassembled parts is periodically updated, and the part of temporarily unsold disassembled parts is periodically determined to be used as basic raw materials or stock recycled parts after garbage treatment or crushing according to the value; meanwhile, forecasting the occupation ratio of each sales channel of the disassembled parts in the next month through the pre-estimated value model;
s24, carrying out market sale on all the resource raw materials which are taken as the base raw materials and are obtained after the disassembled parts are crushed; and the value of the system is updated regularly, and the system can be used for continuously selling or treating as garbage regularly according to the value of the system.
S3: intelligently managing and processing the steps through the Flink; and (2) creating a Flink program at a Client, namely a Client, mapping the step two into operators, mapping each link in the step two into a Subtask, namely a Subtask, submitting the Flink program to a job manager, namely a JobManager, by the Client, and uniformly distributing the Flank program to each task manager, namely the TabManager according to the priority of each Subtask in sequence for processing.
2. The Flink-based automobile disassembled part management method as claimed in claim 1, wherein: the business classification model of the step S1 is constructed according to the pareto effect, and the formula of the business classification model is
Wherein S is all data addresses of the automobile disassembled part historical database, f (x) is the automobile disassembled part information corresponding to the data address x, and the solution of the formula is the pareto optimal solution, namely the minimum classified unit part of all automobile disassembled parts.
3. The flying based automobile disassembled part management method as recited in claim 2, wherein: step S22, the stock value is expressed by the formula:
stock value = number of vehicle model sold × number of disassembled parts replaced per year × price of disassembled parts
Calculating to obtain; wherein the annual replacement coefficient of the disassembled piece needs to be set according to different disassembled pieces, and the value range is 0.05-0.2.
4. The flying based automobile disassembled part management method as recited in claim 3, wherein: s23, constructing the predictive value model according to a Markov transfer matrix method, wherein the predictive value model has a formula
X(k+1)＝X(k)*P
Wherein X (k) represents the sales state vector of the disassembled piece in the current month, and is established according to the sales ratio of the disassembled piece in each channel; p represents a one-step transition probability matrix, and is established according to the proportion change of each sales channel of the disassembled product; x (k + 1) disassembled sales state vector of the next month;
the proportion of disassembled parts in each sales channel in the next month is estimated through the estimated value model, and sales can be guided.
5. The Flink-based automobile disassembled part management method as claimed in claim 4, wherein: and S21, identifying and analyzing the disassembled piece and the information of the corresponding vehicle type by a mode of combining the photographed image identification and the camera high-definition identification.
6. The flying based automobile disassembled part management method as recited in claim 5, wherein: and S21, the software system searches and perfects the information of the disassembled parts and the corresponding vehicle models through the Internet.
7. The flying based automobile disassembled part management method as recited in claim 6, wherein: the information of the disassembled piece which is photographed and analyzed by the camera recognition comprises the type of the disassembled piece, the appearance color of the disassembled piece, the damage degree and the function condition.
8. The flying based automobile disassembled part management method as recited in claim 7, wherein: the vehicle information perfected by the software system comprises the vehicle weight, the driving mode, the gasoline vehicle displacement and the type and the capacity of the electric vehicle battery; the disassembled piece information perfected by the software system comprises configuration information, price information and market demand information of the disassembled piece.
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