CN109242228A - A kind of PBS dispatching method that rule-based classification is autonomous - Google Patents

A kind of PBS dispatching method that rule-based classification is autonomous Download PDF

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CN109242228A
CN109242228A CN201710555326.4A CN201710555326A CN109242228A CN 109242228 A CN109242228 A CN 109242228A CN 201710555326 A CN201710555326 A CN 201710555326A CN 109242228 A CN109242228 A CN 109242228A
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rule
queue
lane
classification
pbs
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CN109242228B (en
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原文斌
彭慧
史海波
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Shenyang Institute of Automation of CAS
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Shenyang Institute of Automation of CAS
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Abstract

The invention discloses a kind of PBS dispatching methods that rule-based classification is autonomous.The present invention includes: to carry out summary abstraction to the buffer area PBS lane to be queue, define queue attributes and movement;The buffer area PBS business rule is separated, queue rule is abstracted, defines queue rules properties;Queue and queue rule are bound, the 4th step, establishes total grade rule, defined attribute and matching algorithm;5th step, will to take part in Taoism, signal of engaging in this profession is monitored, coordinate queue, load balancing etc. is abstracted as total grade and handles, define its and handle logic.After each classification processing, whether meet the requirements to total grade of feedback, total grade coordinates satisfactory classification, load balance process, selects optimal lane.The present invention separates the dynamic binding of business rule and processing unit, realization business with application, facilitates the definition and realization of business rule, solves the problems, such as that Production Scheduling System can not adapt to frequently changeable business rule, exploitation and Maintenance Difficulty.

Description

A kind of PBS dispatching method that rule-based classification is autonomous
Technical field
The present invention relates to the autonomous PBS dispatching methods of rule-based classification, and specifically one kind is towards vehicle production line The dispatching method of the rule-based classification autonomy of the buffer area PBS, belongs to production scheduling field.
Background technique
Vehicle production is the production of curstomer-oriented order, is mainly characterized by order batch small, numerous in variety, delivery date It is short.Thus vehicle production line is mixed-model assembly line, and various mixed production, different vehicles is to engine, gearbox, day Window, interior trim etc. require different, different key component, it is required that machining period, the assembly method of requirement it is also different.Total Between entrucking in assembling process, material type is needed to constantly change, replaces assembly method, load imbalance, production cycle is caused to increase Long, the problems such as production capacity is low.
The buffer area PBS (Painted Body Storage) is arranged in Painting Shop and assembly shop in vehicle factor, slow at this It rushes in area and resequences to vehicle, to optimize production method.The buffer area PBS type mainly includes linked list type buffer area, heap Stack buffer area, linear buffer area, moves back formula buffer area and free style buffer area at buffer circle.Wherein linked list type buffer area, Stacking-type buffer area, buffer circle and free style buffer area are fairly simple.Present invention is generally directed to linear and annular combinations The advantages of this buffer area, linear and buffer circle has been taken into account in this buffer area, but also increase the difficulty of sequence.
The business rule for influencing the buffer area PBS has very much, and the combination of business rule can then follow the increasing of business rule It is more, exponentially increase.Different business rule combinations, the ranking results obtained are different.It is thus simple by artificial meter It is infeasible at last, it is badly in need of a kind of reasonable production scheduling method.
It can be seen from the above, the realization of the PBS dispatching method of rule-based classification autonomy has very important significance.Classification Autonomous mode, business rule is separated, the business rule order of magnitude decline of each autonomous unit processing, while and business The achievable dynamic binding of rule.
Summary of the invention
In order to solve the above-mentioned problems in the prior art, autonomous the invention proposes a kind of rule-based classification PBS dispatching method.
Present invention technical solution used for the above purpose is: a kind of PBS scheduling that rule-based classification is autonomous Method, comprising the following steps:
Step 1: the buffer area PBS lane being subjected to the queue T that summary abstraction is first in first out, queue attributes is defined and moves Make, and determines the queue unique identification;
Step 2: the buffer area PBS business rule being separated, total grade rule and graded queues rule are divided into;Queue is advised Then P logical abstraction is the regular collection that business rule permutation and combination is formed, and is expressed asWherein RiFor business rule, N is natural number;According to business rule RiAttribute determine RiWhich kind of business rule type belonged to, and determines that business rule is uniquely marked Know;
Step 3: queue and queue rule are bound, are expressed as { T, P }, queue and the queue rule of binding and rule Then logical process constitutes classification;
Step 4: being the regular collection that total business regular permutations and combinations are formed by total grade of rule F logical abstraction, indicate are as follows:Wherein OiFor total business rule;According to total business rule OiAttribute determine OiWhich kind of business rule type belonged to, And determine total business rule unique identification;
Step 5: monitoring module, the processing logical AND total business regular collection of total grade constitutes total grade;
Step 6: being respectively classified to total grade and registered;The monitoring module monitoring of total grade is taken part in Taoism after signal, signal of engaging in this profession, to each The hierarchical broadcast signal of registration;After the logic rules processing of classification is called and executed in each classification, to total grade of feedback information, total grade exists It sends in the classification of feedback information and scheduled lane is obtained according to the priority of queue.
The property set of the queue are as follows: { queue unique identification, capacity, active volume, priority, queue type, queue are retouched It states }.
The property set of the queue rule are as follows: { regular unique identification, priority, rule description, logic rules processing }.
The movement of the queue include: join the team movement, go out team movement, queue be judged as empty action, obtain queue priority Movement, setting queue priority act, obtain First movement, obtain Last movement, the judgement that can join the team movement, can go out team's judgement Movement.
The movement of the queue is for being graded and/or total grade is called and executed.
The signal of taking part in Taoism includes information of vehicles of currently taking part in Taoism, and signal of engaging in this profession includes information of vehicles of currently engaging in this profession.
Each classification calls and executes the regular logical process of classification specifically: the classification rule logical process root being respectively classified Information of vehicles and lane information are obtained according to graded queues rule.
A kind of PBS scheduling system that rule-based classification is autonomous, comprising:
Total grade, for according to signal of taking part in Taoism, engaging in this profession signal and is respectively classified feedback information, handled to obtain eventually for The lane of scheduling;
Classification, for executing the regular simultaneously feedback information of queue to total grade.
Total grade includes:
Module is monitored, for monitoring take part in Taoism signal, signal of engaging in this profession, and is sent to processing logic;
Total grade rule, for being set according to business need;
Handle logic, for according to signal of taking part in Taoism, engaging in this profession signal and is respectively classified feedback information, handled or executed Total grade rule, obtains the lane eventually for scheduling.
The classification includes:
Queue, for indicating lane;
Queue rule, for being set according to scheduling requirement;
Logic rules processing, for executing the regular simultaneously feedback information of queue to total grade.
The present invention has the following advantages and beneficial effects:
1. by complicated routing scheduling rule separation, classification, every primary unit only needs to handle rule relevant to oneself, Which effectively simplifies routing scheduling, makes it easier to realize.
2. the dynamic binding of business rule and processing unit, realization business is separated with application, facilitates determining for business rule Justice and realization solve the problems, such as that Production Scheduling System can not adapt to frequently changeable business rule, exploitation and Maintenance Difficulty.
Detailed description of the invention
Fig. 1 is system architecture diagram of the invention;
Fig. 2 is that vehicle is taken part in Taoism figure;
Fig. 3 is that vehicle is engaged in this profession figure;
Fig. 4 is that vehicle is engaged in this profession figure.
Specific embodiment
With reference to the accompanying drawing and case study on implementation the present invention is described in further detail.
As shown in Figure 1, a kind of PBS dispatching method that rule-based classification is autonomous, comprising the following steps:
Step 1: the buffer area PBS lane being subjected to the queue T that summary abstraction is first in first out, queue attributes is defined and moves Make, and determines the queue unique identification (queue identity);
Step 2: the buffer area PBS business rule being separated, total grade rule and graded queues rule are divided into;Queue is advised Then P logical abstraction is a series of regular collection that basic service regular permutations and combinations are formed, and is expressed asWherein Ri For basic service rule, be divided into such as Types Below: vehicle concentrates rule, first-in first-out rule, and n represents the quantity of business rule;According to According to basic service rule RiAttribute determine RiWhich kind of business rule type belonged to, and determines business rule unique identification;
Vehicle concentrates rule: when taking part in Taoism, the vehicle of same model is into same lane, and when engaging in this profession, the identical vehicle of vehicle is excellent First engage in this profession.
First-in first-out rule: same lane, the vehicle first taken part in Taoism first are engaged in this profession.
Step 3: queue being required to bind with queue rule according to user, is expressed as { T, P }, the queue of every group binding Classification is constituted with queue rule and logic rules processing;
Logic rules processing is realized for executing queue rule by call action.
Step 4: being a series of rule set that basic total business regular permutations and combinations are formed by total grade of rule F logical abstraction It closes, indicates are as follows:Wherein, OiFor basic total business rule, be divided into such as Types Below: waiting time longest first goes out to advise Then, rush order priority rule, reprocess priority rule, free way priority rule, n represents the quantity of total business rule;According to base This total business rule OiAttribute determine OiWhich kind of business rule type belonged to, and determines total business rule unique identification;
Waiting time longest first goes out rule: the waiting time, longest vehicle was engaged in this profession at first.
Rush order priority rule: the vehicle of rush order preferentially takes part in Taoism, engages in this profession.
It reprocesses priority rule: reprocessing vehicle and preferentially engage in this profession.
Free way priority rule: free way has vehicle preferentially to engage in this profession.
Step 5: it defines total grade and constitutes, the total grade rule of the processing logical AND including monitoring module, total grade;
Module is monitored for monitoring take part in Taoism signal, signal of engaging in this profession, and is sent to the processing logic of total grade;
The processing logic of total grade obtains the lane eventually for scheduling for being handled according to each classification feedback information. Furthermore it is also possible to according to total grade of rule (waiting time longest first go out rule, rush order priority rule, reprocess priority rule, fastly Fast road priority rule) finally select lane.
Step 6: being respectively classified to total grade and registered;The monitoring module monitoring of total grade is taken part in Taoism after signal, signal of engaging in this profession, to each The hierarchical broadcast signal of registration, after each classification calls the regular logical process of classification to carry out logic judgment, to total grade of feedback information (vehicle Road information, information of vehicles), to requirement of taking part in Taoism/engage in this profession is met, (feedback information for receiving classification is to meet to total grade, otherwise not to be inconsistent Close) classification optimal lane is selected according to queue priority.With regard to will currently be moved wait dispatch buses according to signal of taking part in Taoism, signal of engaging in this profession Enter or remove the lane.
Lane information includes lane number, carriageway type, lane capacity, lane priority, lane state;
Information of vehicles includes vehicle number, vehicle, offline date, engine model, gearbox model, vehicle-state.
The underlying attribute collection of the queue are as follows: { queue unique identification, capacity, active volume, priority, queue type, team Column description }.
The underlying attribute collection of the queue rule are as follows: { regular unique identification, priority, rule description are classified logic rules Processing }.It is classified regular logical process input: signal of taking part in Taoism/engage in this profession;Output: lane information, information of vehicles;Processing mode: business Rule match, i.e. vehicle concentrate rule, first-in first-out rule.
The main actions of the queue include: join the team movement, go out team movement, queue be judged as empty action, obtain queue it is excellent First grade, which acts, queue priority movement is arranged, obtains head of the queue movement, acquisition tail of the queue acts, the judgement that can join the team acts, can go out team sentences Disconnected movement.
Each movement constitutes set, when total grade or classification are handled according to total grade rule or classification rule, calls corresponding Movement and execution, obtain information of vehicles and lane information.
The movement of joining the team is expressed as a continuous operation: 1, the capacity of occupancy of queue adds 1;2) queue vehicle of taking part in Taoism is set Type is vehicle of currently taking part in Taoism.
The movement of team out is expressed as a continuous operation: 1, the capacity of occupancy of queue subtracts 1;2) queue judges whether it is It is empty;3) if do not obtained First to be empty, it is First vehicle that queue vehicle of engaging in this profession, which is arranged, for example empty, then queue vehicle is arranged as sky.
The acquisition queue priority movement is expressed as a continuous operation: 1) returning to queue priority.
The setting queue priority movement is expressed as a continuous operation: 1) queue priority is arranged.
The acquisition head of the queue movement is expressed as a continuous operation: 1) judging whether queue is empty;2) if queue is not Sky then returns to the information of vehicles of first position, is otherwise returned as sky.
The acquisition tail of the queue movement is expressed as a continuous operation: 1) judging whether queue is empty;2) if queue is not Sky then returns to the information of vehicles of (having occupied capacity) position, is otherwise returned as sky.
The judgement of joining the team is expressed as a continuous operation: 1) judging whether queue has expired;2) judge whether to meet into Team's rule grade, can join the team if meeting and queue is less than, can not join the team if not meeting or having expired.
It is described go out team's judgement be expressed as a continuous operation: 1) judge whether queue is sky;2) judge whether to meet out Team's rule grade can go out team if meeting and queue is sky, can not go out team if not meeting or queue is sky.
Table 1 describes the buffer area PBS layout scenarios, and the present invention is the slow of linear and circular phase combination for buffer area type Rush area's type.5 lanes are shared in buffer area, 4 belong to fifo type lane, and one as return road.Return road for Vehicle is ranked up in buffer area.
Table 1
Ramp name Carriageway type Lane capacity Active volume Lane priority Track direction
Lane 1 Common FIFO 10 10 1 It is positive
Lane 2 Common FIFO 10 10 2 It is positive
Lane 3 Common FIFO 10 10 3 It is positive
Lane 4 Common FIFO 10 10 4 It is positive
Lane 5 Return to FIFO 10 10 0 Reversely
Table 2 describes the buffer area PBS business rule.
Table 2
Business rule mark Business rule description Business rule type Business rule classification
R1 Delivery-based priority Total grade It takes part in Taoism/engages in this profession
R2 Vehicle is concentrated Classification It takes part in Taoism/engages in this profession
R3 High, normal, basic proportion Classification It takes part in Taoism/engages in this profession
Table 3 describes the binding relationship of lane queue and classification rule
Table 3
It is assumed that vehicle has 5 kinds to be expressed as { A, B, C, D, E }, high, medium and low configuration digital representation is { 1,2,3 }, A vehicle High, medium and low proportion is expressed as { A1、A2、A3}.It suppose there is 35 vehicles to wait entering buffer area, indicate are as follows: { A1[001], A1[002], B1[003], B2[004], C3[005], C3[006], A3[007], A3[008], A3[009], D1[010], E1[011], A2[012], A2[013], B3[014], B3[015], A2[016], A2[017], B2[018], B2[019], C2[020], C2[021], D3[022], D3[023], D2[024], D2[025], E3[026], E3[027], C1[028], C1[029], A3[030], A3[031], B1[032], B2[033], B3[034], B3[035]}。
Vehicle { A to be taken part in Taoism1[001], A1[002] }, each lane forms optional lane set { lane 1, vehicle by rule calculating Road 2, lane 3, lane 4 }, lane 1 is confirmed as by total grade processing logic, having occupied capacity is 2;
Vehicle { B to be taken part in Taoism1[003], B2[004] }, each lane forms optional lane set { lane 2, vehicle by rule calculating Road 3, lane 4 }, lane 2 is confirmed as by total grade processing logic, having occupied capacity is 2;
Vehicle { C to be taken part in Taoism3[005], C3[006] }, each lane forms optional lane set { lane 3, vehicle by rule calculating Road 4 }, lane 3 is confirmed as by total grade processing logic, having occupied capacity is 2;
Vehicle { A to be taken part in Taoism3[007], A3[008], A3[009] }, each lane forms optional lane by rule calculating and gathers { lane 1, lane 4 } is confirmed as lane 1 by total grade processing logic, and having occupied capacity is 5;
Vehicle { D to be taken part in Taoism1[010] }, each lane forms optional lane set { lane 4 } by rule calculating, by total grade Reason logic is confirmed as lane 4, and having occupied capacity is 1;
Vehicle { E to be taken part in Taoism1[011] }, each lane is calculated by rule, and optional lane collection is combined into sky, handles logic by total grade It is according to priority confirmed as lane 1, having occupied capacity is 6;
Vehicle { A to be taken part in Taoism2[012], A2[013] }, each lane is calculated by rule, and optional lane collection is combined into sky, by total grade Reason logic is according to priority confirmed as lane 1, and having occupied capacity is 8;
Vehicle { B to be taken part in Taoism3[014], B3[015] }, each lane forms optional lane set { lane 2 } by rule calculating, by Total grade processing logic is confirmed as lane 2, and having occupied capacity is 4;
Vehicle { A to be taken part in Taoism2[016], A2[017] }, each lane forms optional lane set { lane 1 } by rule calculating, by Total grade processing logic is confirmed as lane 1, and having occupied capacity is 10,1 state temporary close of lane;
Vehicle { B to be taken part in Taoism2[018], B2[019] }, each lane forms optional lane set { lane 2 } by rule calculating, by Total grade processing logic is confirmed as lane 2, and having occupied capacity is 6;
Vehicle { C to be taken part in Taoism2[020], C2[021] }, each lane forms optional lane set { lane 3 } by rule calculating, by Total grade processing logic is confirmed as lane 3, and having occupied capacity is 4;
Vehicle { D to be taken part in Taoism3[022], D3[023], D2[024], D2[025] }, each lane forms optional vehicle by rule calculating Road set { lane 4 } is confirmed as lane 4 by total grade processing logic, and having occupied capacity is 5;
Vehicle { E to be taken part in Taoism3[026], E3[027] }, each lane is calculated by rule, and optional lane collection is combined into sky, by total grade Reason logic is confirmed as lane 2, and having occupied capacity is 8;
Vehicle { C to be taken part in Taoism1[028], C1[029] }, each lane forms optional lane set { lane 3 } by rule calculating, by Total grade processing logic is confirmed as lane 3, and having occupied capacity is 6;
Vehicle { A to be taken part in Taoism3[030], A3[031] }, each lane is calculated by rule, and optional lane collection is combined into sky, by total grade Reason logic is confirmed as lane 2, and having occupied capacity is 10,2 state temporary close of lane;
Vehicle { B to be taken part in Taoism1[032], B2[033], B3[034], B3[035] }, each lane is calculated by rule, optional lane Collection is combined into sky, is confirmed as lane 3 by total grade processing logic, having occupied capacity is 10;
Its result of taking part in Taoism is as shown in Figure 2.
Fig. 3 and Fig. 4 shows that buffer area vehicle is engaged in this profession.
Each lane forms optional lane set { lane 1, lane 2, lane 3, lane 4 } of engaging in this profession by rule calculating, by total grade Processing logic is confirmed as lane 1, out vehicle { A1[001], A1[002], A3[007], A3[008], A3[009] }, having occupied capacity is 5;
Each lane is calculated by rule, and vehicle lane collection is combined into sky out, is only calculated by total grade processing logic by load balancing rule, really Recognize lane 1, out vehicle { E1[011] }, into lane 5, it is 4 that lane 1, which has occupied capacity, and it is 1 that lane 5, which has occupied capacity,;
Each lane forms optional lane set { lane 1 } of engaging in this profession by rule calculating, is confirmed as lane by total grade processing logic 1, vehicle { A out2[012], A2[013], A2[016], A2[017] }, having occupied capacity is 0;
Each lane forms optional lane set { lane 2 } of engaging in this profession by rule calculating, is confirmed as lane by total grade processing logic 2, vehicle { B out1[003], B2[004], B3[014], B3[015], B2[018], B2[019] }, having occupied capacity is 4;
Each lane is calculated by rule, and vehicle lane collection is combined into sky out, is only calculated by total grade processing logic by load balancing rule, really Recognize lane 2, out vehicle { E3[026], E3[027] }, into lane 5, it is 2 that lane 2, which has occupied capacity, and it is 3 that lane 5, which has occupied capacity,;
Each lane forms optional lane set { lane 2 } of engaging in this profession by rule calculating, is confirmed as lane by total grade processing logic 2, vehicle { A out3[030], A3[031] }, having occupied capacity is 0;
Each lane forms optional lane set { lane 3 } of engaging in this profession by rule calculating, is confirmed as lane by total grade processing logic 3, vehicle { C out3[005], C3[006], C2[020], C2[021], C1[028], C1[029] }, having occupied capacity is 4;
Each lane forms optional lane set { lane 3 } of engaging in this profession by rule calculating, is confirmed as lane by total grade processing logic 3, vehicle { B out1[032], B2[033], B3[034], B3[035] }, having occupied capacity is 0;
Each lane forms optional lane set { lane 4 } of engaging in this profession by rule calculating, is confirmed as lane by total grade processing logic 4, vehicle { D out1[010], D3[022], D3[023], D2[024], D2[025] }, having occupied capacity is 0;
Each lane is calculated by rule, and optional lane collection of engaging in this profession is combined into sky, enters vehicle by total grade processing logic confirmation 5 vehicle of lane Road 1 is simultaneously engaged in this profession, out vehicle { E1[011], E3[026], E3[027] }, it is 0 that lane 1 and lane 5, which have occupied capacity,.

Claims (10)

1. a kind of PBS dispatching method that rule-based classification is autonomous, which comprises the following steps:
Step 1: the buffer area PBS lane is subjected to the queue T that summary abstraction is first in first out, defines queue attributes and movement, and Determine the queue unique identification;
Step 2: the buffer area PBS business rule being separated, total grade rule and graded queues rule are divided into;To queue rule P Logical abstraction is the regular collection that business rule permutation and combination is formed, and is expressed asWherein RiFor business rule, n is Natural number;According to business rule RiAttribute determine RiWhich kind of business rule type belonged to, and determines business rule unique identification;
Step 3: queue and queue rule being bound, are expressed as { T, P }, queue and the queue rule and rule of binding are patrolled It collects processing and constitutes classification;
Step 4: being the regular collection that total business regular permutations and combinations are formed by total grade of rule F logical abstraction, indicate are as follows:Wherein OiFor total business rule;According to total business rule OiAttribute determine OiWhich kind of business rule type belonged to, And determine total business rule unique identification;
Step 5: monitoring module, the processing logical AND total business regular collection of total grade constitutes total grade;
Step 6: being respectively classified to total grade and registered;The monitoring module monitoring of total grade is taken part in Taoism after signal, signal of engaging in this profession, to each registration Hierarchical broadcast signal;After the logic rules processing of classification is called and executed in each classification, to total grade of feedback information, total grade is being sent Priority in the classification of feedback information according to queue obtains scheduled lane.
2. the autonomous PBS dispatching method of the rule-based classification of one kind according to claim 1, which is characterized in that the team The property set of column are as follows: { queue unique identification, capacity, active volume, priority, queue type, queue description }.
3. the autonomous PBS dispatching method of the rule-based classification of one kind according to claim 1, which is characterized in that the team Arrange the property set of rule are as follows: { regular unique identification, priority, rule description, logic rules processing }.
4. the autonomous PBS dispatching method of the rule-based classification of one kind according to claim 1, which is characterized in that the team The movement of column include: join the team movement, go out team movement, queue be judged as empty action, obtain queue priority movement, setting queue it is excellent First grade movement obtains First movement, obtains Last movement, the judgement that can join the team movement, can go out team's judgement movement.
5. the autonomous PBS dispatching method of the rule-based classification of one kind according to claim 1 or 4, which is characterized in that described The movement of queue is for being graded and/or total grade is called and executed.
6. the autonomous PBS dispatching method of the rule-based classification of one kind according to claim 1, which is characterized in that it is described enter Road signal includes information of vehicles of currently taking part in Taoism, and signal of engaging in this profession includes information of vehicles of currently engaging in this profession.
7. the autonomous PBS dispatching method of the rule-based classification of one kind according to claim 1, which is characterized in that described each Classification calls and executes the regular logical process of classification specifically: the classification rule logical process being respectively classified is according to graded queues rule Obtain information of vehicles and lane information.
8. a kind of PBS that rule-based classification is autonomous dispatches system characterized by comprising
Total grade, for according to signal of taking part in Taoism, engaging in this profession signal and is respectively classified feedback information, handled to obtain eventually for scheduling Lane;
Classification, for executing the regular simultaneously feedback information of queue to total grade.
9. the autonomous PBS of the rule-based classification of one kind according to claim 8 dispatches system, it is characterised in that total grade Include:
Module is monitored, for monitoring take part in Taoism signal, signal of engaging in this profession, and is sent to processing logic;
Total grade rule, for being set according to business need;
Handle logic, for according to signal of taking part in Taoism, engaging in this profession signal and is respectively classified feedback information, handled or executed total grade Rule obtains the lane eventually for scheduling.
10. the autonomous PBS of the rule-based classification of one kind according to claim 8 dispatches system, it is characterised in that described point Grade include:
Queue, for indicating lane;
Queue rule, for being set according to scheduling requirement;
Logic rules processing, for executing the regular simultaneously feedback information of queue to total grade.
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* Cited by examiner, † Cited by third party
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CN115685951A (en) * 2023-01-04 2023-02-03 中汽研汽车工业工程(天津)有限公司 Dispatching control method and system for PBS (phosphate buffer solution) buffer area in automobile production
CN116205471A (en) * 2023-05-05 2023-06-02 华侨大学 Cache region scheduling method, device and equipment for automobile manufacturing
CN116500999A (en) * 2023-06-26 2023-07-28 广汽埃安新能源汽车股份有限公司 Vehicle body PBS (phosphate buffer solution) library scheduling method, system, electronic equipment and storage medium

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101582913A (en) * 2008-05-14 2009-11-18 北京帮助在线信息技术有限公司 Equipment and method for graded dispatching of platforms
CN101621457A (en) * 2008-07-01 2010-01-06 大唐移动通信设备有限公司 Multi-service scheduling method and system
CN102270385A (en) * 2010-06-01 2011-12-07 上海经达实业发展有限公司 Intelligent public transport scheduling and management system
US8548918B1 (en) * 2006-12-18 2013-10-01 Qurio Holdings, Inc. Methods and systems for automated content distribution
CN103473642A (en) * 2013-09-10 2013-12-25 中国科学院沈阳自动化研究所 Method for rule engine for production dispatching
CN103927689A (en) * 2014-05-06 2014-07-16 安徽工程大学 Dispatching control method for batch processor of reentrant manufacturing system
US20140229217A1 (en) * 2013-02-14 2014-08-14 Aktana, Inc. System and method for determining suggested activities for a worker based on business objectives
CN105045243A (en) * 2015-08-05 2015-11-11 同济大学 Semiconductor production line dynamic scheduling device
CN105302638A (en) * 2015-11-04 2016-02-03 国家计算机网络与信息安全管理中心 MPP (Massively Parallel Processing) cluster task scheduling method based on system load
CN105321047A (en) * 2015-11-10 2016-02-10 中国电力科学研究院 Multi-dimensional verification method for schedule plan data
CN105873233A (en) * 2016-03-29 2016-08-17 西安电子科技大学 IEEE802.11ax access enhancement method based on hierarchical scheduling
CN106408153A (en) * 2016-08-12 2017-02-15 武汉科技大学 Case reasoning-based steel enterprise production dynamic scheduling adjustment method and expert system
CN106447211A (en) * 2016-10-11 2017-02-22 深圳市百盛佳信息咨询有限公司 Sorting system and method for products in cache region between production workshops of product manufacturing enterprise
US20170060642A1 (en) * 2015-08-28 2017-03-02 Vmware, Inc. Constrained placement in hierarchical randomized schedulers
CN106712117A (en) * 2017-01-03 2017-05-24 国电南瑞科技股份有限公司 ACE sharing-based two-level hierarchical dispatching AGC coordinated control system and method for interconnected power network

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8548918B1 (en) * 2006-12-18 2013-10-01 Qurio Holdings, Inc. Methods and systems for automated content distribution
CN101582913A (en) * 2008-05-14 2009-11-18 北京帮助在线信息技术有限公司 Equipment and method for graded dispatching of platforms
CN101621457A (en) * 2008-07-01 2010-01-06 大唐移动通信设备有限公司 Multi-service scheduling method and system
CN102270385A (en) * 2010-06-01 2011-12-07 上海经达实业发展有限公司 Intelligent public transport scheduling and management system
US20140229217A1 (en) * 2013-02-14 2014-08-14 Aktana, Inc. System and method for determining suggested activities for a worker based on business objectives
CN103473642A (en) * 2013-09-10 2013-12-25 中国科学院沈阳自动化研究所 Method for rule engine for production dispatching
CN103927689A (en) * 2014-05-06 2014-07-16 安徽工程大学 Dispatching control method for batch processor of reentrant manufacturing system
CN105045243A (en) * 2015-08-05 2015-11-11 同济大学 Semiconductor production line dynamic scheduling device
US20170060642A1 (en) * 2015-08-28 2017-03-02 Vmware, Inc. Constrained placement in hierarchical randomized schedulers
CN105302638A (en) * 2015-11-04 2016-02-03 国家计算机网络与信息安全管理中心 MPP (Massively Parallel Processing) cluster task scheduling method based on system load
CN105321047A (en) * 2015-11-10 2016-02-10 中国电力科学研究院 Multi-dimensional verification method for schedule plan data
CN105873233A (en) * 2016-03-29 2016-08-17 西安电子科技大学 IEEE802.11ax access enhancement method based on hierarchical scheduling
CN106408153A (en) * 2016-08-12 2017-02-15 武汉科技大学 Case reasoning-based steel enterprise production dynamic scheduling adjustment method and expert system
CN106447211A (en) * 2016-10-11 2017-02-22 深圳市百盛佳信息咨询有限公司 Sorting system and method for products in cache region between production workshops of product manufacturing enterprise
CN106712117A (en) * 2017-01-03 2017-05-24 国电南瑞科技股份有限公司 ACE sharing-based two-level hierarchical dispatching AGC coordinated control system and method for interconnected power network

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
陈正茂: "基于排序缓冲区的多车间关联排序研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115685951A (en) * 2023-01-04 2023-02-03 中汽研汽车工业工程(天津)有限公司 Dispatching control method and system for PBS (phosphate buffer solution) buffer area in automobile production
CN115685951B (en) * 2023-01-04 2023-03-31 中汽研汽车工业工程(天津)有限公司 Automobile production PBS buffer area scheduling control method and system
CN116205471A (en) * 2023-05-05 2023-06-02 华侨大学 Cache region scheduling method, device and equipment for automobile manufacturing
CN116205471B (en) * 2023-05-05 2023-08-08 华侨大学 Cache region scheduling method, device and equipment for automobile manufacturing
CN116500999A (en) * 2023-06-26 2023-07-28 广汽埃安新能源汽车股份有限公司 Vehicle body PBS (phosphate buffer solution) library scheduling method, system, electronic equipment and storage medium
CN116500999B (en) * 2023-06-26 2023-09-26 广汽埃安新能源汽车股份有限公司 Vehicle body PBS (phosphate buffer solution) library scheduling method, system, electronic equipment and storage medium

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