CN111932103A - Carrier, driver and transportation demand matching calculation method and system - Google Patents
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Abstract
A carrier, driver and transport demand matching calculation method and system relates to the field of transportation, and solves the problems that the existing matching method is large in screening granularity, poor in flexibility and expansibility due to the fact that screening angles are easy to simplify and cannot generate linkage effect, and low in efficiency due to the fact that each demand change needs to be decomposed and calculated again; constructing a characteristic acquisition module and a data abstraction module based on a carrier and driver data pool; the rule engine acquires data from the carrier abstract module and the driver abstract module and acquires standard requirement data which accord with the rule according to the definition of the current rule engine; and matching the data in the standard demand data matching engine module and the data in the standard demand data storage module, and acquiring the information data of the carriers and the drivers meeting the demands according to the standard demand data. The invention improves the matching accuracy and effectiveness of the passenger demand of the vehicle driver.
Description
Technical Field
The invention relates to the field of transportation, in particular to a matching calculation method and a matching calculation system for a carrier, a driver and a transportation demand.
Background
At present, matching algorithms for vehicles, drivers and transportation demands are widely applied to transportation related systems, and the existing matching methods are often used for screening the vehicles and the drivers wheel by wheel based on the demands. As shown in fig. 1, the core idea is to decompose the passenger transportation demand to obtain specific demands of the vehicle and the driver, and then to screen the vehicle and the driver respectively according to the specific demands, so as to obtain the vehicle and the driver meeting the transportation demand. The whole is decomposed layer by layer from top to bottom. And finally, screening according to specific limitations. However, the existing matching method has the following problems:
1. the internal relation among the vehicle, the driver and the passenger demand is ignored. There is no standard rule description throughout.
2. The screening granularity is large, the screening angle is easy to be simplified, and the linkage effect cannot be generated.
3. The flexibility is poor, and the algorithm has no expansibility.
4. Computational inefficiency, and each change in demand requires a re-decomposition of the computation.
Disclosure of Invention
The invention provides a matching calculation method and a matching calculation system for carrier, driver and transport requirements, aiming at solving the problems that the existing matching method is large in screening granularity, easy to simplify the screening angle and incapable of generating a linkage effect, so that the flexibility and expansibility are poor, and the efficiency is low because the requirement change needs to be decomposed and calculated again each time.
A matching calculation method for carrier, driver and transportation demand is realized by the following steps:
firstly, setting a standard, and establishing a rule conversion module and a rule interpretation module according to the standard;
secondly, respectively constructing a characteristic acquisition module and a data abstraction module based on a carrier and a driver data pool according to the specifications set in the first step;
thirdly, defining a rule engine, wherein the rule engine acquires data from the carrier abstract module and the driver abstract module, acquires standard requirement data meeting the rules according to the definition of the current rule engine, and stores the standard requirement data in a standard requirement storage module;
and step four, identifying standard requirements after the transportation requirements are subjected to standardized interpretation by the rule interpretation module, matching the standard requirements data in the standard requirement data storage module by adopting the standard requirement data matching engine module to match the standard requirement data meeting the requirements, and acquiring the information data of the carriers and the drivers meeting the requirements according to the standard requirement data.
A matching and calculating system for carrier, driver and transportation demand comprises a rule conversion module, a rule interpretation module, a standard demand data matching engine module, a standard demand storage module, a carrier characteristic acquisition module, a driver characteristic acquisition module, a carrier abstraction module and a driver abstraction module;
the rule interpretation module is used for carrying out standardized expression on the transportation requirement and interpreting the transportation requirement into a data requirement meeting the specification;
the rule conversion module is used for marking the condition for triggering the rule; marking the uniqueness of the rule; the system is used for marking specific constants, variable read-write and operation rules after the rules are triggered;
the vehicle characteristic acquisition module and the driver characteristic acquisition module are responsible for acquiring and extracting effective initial data meeting the standard definition range from the corresponding data pool and transmitting the effective initial data to the corresponding abstract module;
the carrier abstract module and the driver abstract module respectively carry out rule-based operation processing on effective carrier and driver data;
setting a rule engine, wherein the rule engine is used for acquiring data from a carrier abstract module and a driver abstract module, acquiring standard requirement data meeting rules according to the definition of the current rule engine, and storing the standard requirement data in a standard requirement storage module;
the transportation demand is subjected to standardized interpretation by the rule interpretation module, then the standard demand is recognized, the standard demand data matching engine module is adopted to match with the standard demand data in the standard demand data storage module, the standard demand data meeting the demand is matched, and then the carrier and driver information data meeting the demand are obtained according to the standard demand data.
The invention has the beneficial effects that: the calculation method provided by the invention has the following advantages:
1. the matching accuracy and effectiveness of the passenger demand of the vehicle driver are improved.
2. The passenger demand matching calculation efficiency of the vehicle drivers is improved.
3. The matching calculation process is standardized and structured, service is further decoupled, the complexity of a system using the algorithm is reduced, and the method is simple and easy to use.
4. The service flow is integrally standardized, and the service complexity is reduced.
5. The efficiency that carrier, driver, transport demand three match is greatly improved. Especially fuzzy matching under massive data.
6. Endowing the matching algorithm with high expansibility and flexibility, and realizing dynamic embedding and dynamic adjustment.
Drawings
FIG. 1 is a flow chart of a conventional vehicle, driver, and transportation demand matching calculation method;
FIG. 2 is a flow chart of a vehicle, driver, and transportation requirement matching calculation method according to the present invention;
FIG. 3 is a schematic diagram of a rule engine model in a matching calculation method for vehicle, driver and transportation requirements according to the present invention;
fig. 4 is a schematic diagram of an engine case in a matching calculation method for vehicle, driver and transportation requirement according to the present invention.
Detailed Description
In the first embodiment, the first embodiment is described with reference to fig. 2 to 4, and a method for matching and calculating a vehicle, a driver, and a transportation demand is provided, where the method is implemented by the following steps from a real service:
firstly, defining a set of specifications, a rule conversion module and a rule interpretation module;
the specific content of the specification is as follows: nouns, attributes and corresponding meanings within the defined transportation domain. And defining the measurement standard and unit of related data in the transportation field. The source of the determined base specification. Well-defined legal regulations or restrictions that are ubiquitous in the business. The rule identification method and underlying operating logic have been described.
The rule conversion module: mainly, conversion calculation formulas under different service scenes are obtained according to service conditions and are used for substantive calculation. The rule conversion module comprises three parts:
1) and (4) limiting the conditions. The conditions that trigger the present rule are indicated.
2) And identifying a rule. The uniqueness of the rule is noted.
3) And calculating a formula. And marking the specific constant variable reading, writing, accessing and operation rules after the rule is triggered.
The rule interpretation module: and the system is responsible for carrying out standardized description on the transportation requirement and interpreting the transportation requirement into a data requirement meeting the specification. Data requirements contain attributes and units of measure.
Secondly, constructing a feature acquisition module and a data abstraction module based on a carrier and a driver data pool based on defined specifications and business characteristics;
wherein: the characteristic acquisition module is responsible for acquiring and extracting effective initial data meeting the standard definition range from the data pool, abandoning invalid data exceeding the standard definition range and providing the invalid data for the abstraction module for further processing.
The abstract module processes and assembles the effective carrier or driver data based on the standard to obtain operable data which is in line with the standard and can be operated by the rule conversion module.
And then, defining a rule engine and carrying out dynamic processing to obtain standard requirement data meeting the specification, and storing the standard requirement data in a standard requirement storage module.
The rule engine is a result of modeling according to actual business requirements, and the rule engine explicitly defines an attribute range, a rule identifier participating in calculation and operation constraint under the current rule engine.
1) And attribute range: the attributes and boundary values that the participating engine needs to satisfy are explicitly stated.
2) And rule identification: and expressing the rule identification which is originated from the rule conversion module and participates in the specific operation of the engine.
3) And operation restraint: record boundaries of engine operation, abort handling, etc.
4) And an engine core: and defining the operation strategy and the operation mode of the engine.
And finally, converting the conveying demand into a demand rule through a rule interpretation module, matching the demand rule through a standard demand data matching engine module to obtain a standard demand matched with the demand rule, and further obtaining data of a carrier and a driver.
In a second embodiment, the present embodiment is an example of a vehicle, driver, and transportation requirement matching calculation method in the first embodiment:
1. the embodiment extracts and refines relevant business rules for specific business, integrates and defines specifications, and constructs a rule interpretation module and a rule conversion module based on actual business and in combination with the specifications.
2. And constructing a feature acquisition module based on the specification and the service requirement, wherein the feature acquisition module changes along with the specification.
And constructing a carrier abstract module and a driver abstract module based on the specification and the service requirement, wherein the carrier abstract module and the driver abstract module change along with the specification and can be dynamically adjusted.
3. A rules engine is defined. And the rule engine carries out modeling design according to actual business requirements. The rule engine acquires data from the carrier abstraction module and the driver abstraction module, and generates demand rule data according with the current definition of the rule engine. And storing the standard requirement rule into a standard requirement rule storage module.
With reference to fig. 3, the rule engine model specifically includes:
1) and extracting the attribute or field meeting the service requirement from the specification and defining the boundary of the attribute or field.
2) And extracting the service identification which meets the requirement of the service to participate in the operation from the rule conversion module.
3) An operational constraint is defined.
4) And an engine core.
In this embodiment, the rule engine and the standard requirement data have the following correspondence relationship:
the standard demand data includes a limited combination of vehicle and driver results. The combination rules are determined by the rules engine.
A standard requirement data corresponds to one or more engine tags and includes a standard requirement generated by an engine.
In this embodiment, the rule engine has the following characteristics:
1) the rule engine can be added, modified, deleted, deactivated and activated
2) And adding and starting a rule engine, and adding corresponding data in the standard requirement rule storage module.
3) The rule engine is deleted and deactivated, and the corresponding data in the standard requirement rule storage module is gradually deleted.
4) Modification of the rules engine will affect the corresponding data in the standard requirements rules storage module.
5) The rule engine processes the dynamic relation of the carrier, the driver and the standard requirement, and inputs the dynamic relation into the rule conversion module according to the standard to obtain standard requirement data.
6) The standard requirements generated by the rules engine should be unique.
The present embodiment is described with reference to fig. 4, which includes engine core information, attribute range-vehicle, attribute range-driver, rule identifier-vehicle, rule identifier-driver, and operation constraint.
The engine core comprises timing updating, initialization automatic loading, 30-minute one-time circulation, dynamic updating rule identification and dynamic updating attribute range.
The attribute range-vehicle comprises load (10-50T), oil consumption (18L-32L/100Km), adaptive road section level (L3-L5) and adaptive weather level (W # -W7).
Attribute range-driver contains driver license rating (B2-a1), driver age (5-30).
Regular logo-driver contains DRI000, DRI 003.
Rule identification-vehicles include CAR1001, CAR 2011.
In this embodiment, the standard requirement storage module is configured to store standard requirement data produced by the rule engine. The standard demand data has the following characteristics:
1) the standard requirements data conforms to the rules engine constraints that produced it.
2) The standard requirement data comprises attributes of a rule engine, data characteristics, survival time and the like to which the standard requirement data belongs.
3) And a vehicle and driver pairing result set can be directly found according to standard requirement data.
4) The standard requirements data may be persisted. Load and export saves may be imported.
5) The standard requirement data is uniformly managed by the standard requirement storage module. The standard requirement storage module has a full-life-cycle management right on the standard requirement data, and only the standard requirement storage module can manage the standard requirement data in a full-life-cycle manner.
6) The standard requirement storage module provides a standard unified standard data operation interface for the outside.
When the delivery requirement arrives, the delivery requirement is firstly subjected to standardized interpretation by using a rule interpretation module, and identifiable standard requirements are cut out from the delivery requirement. And then, matching standard demand data meeting the requirement by using a standard demand matching engine based on the standard demand data stored in the standard demand storage module, and obtaining carrier and driver information data meeting the requirement according to the standard demand data.
Claims (10)
1. A matching calculation method for carrier, driver and transportation demand is realized by the following steps:
step one, setting a standard, and establishing a rule conversion module and a rule interpretation module according to the standard;
secondly, respectively constructing a characteristic acquisition module and a data abstraction module based on a carrier and a driver data pool according to the specifications set in the first step;
thirdly, defining a rule engine, wherein the rule engine acquires data from the carrier abstract module and the driver abstract module, acquires standard requirement data meeting the rules according to the definition of the current rule engine, and stores the standard requirement data in a standard requirement storage module;
and step four, identifying standard requirements after the transportation requirements are subjected to standardized interpretation by the rule interpretation module, matching the standard requirements data in the standard requirement data storage module by adopting the standard requirement data matching engine module to match the standard requirement data meeting the requirements, and acquiring the information data of the carriers and the drivers meeting the requirements according to the standard requirement data.
2. The vehicle, driver, and transportation requirement matching calculation method according to claim 1, wherein: the specification includes nouns, attributes and corresponding meanings within a defined transportation domain; the measurement standard and unit of the related data in the defined transportation field; a source of the determined base specification; restrictions that are ubiquitous in established laws and regulations or businesses; the rule identification method and underlying operating logic have been described.
3. The vehicle, driver, and transportation requirement matching calculation method according to claim 1, wherein: the rule conversion module includes: limiting conditions, rule identifications and calculation formulas; the limiting condition is used for marking the condition for triggering the rule; a rule identification is used to mark the uniqueness of the rule; and the calculation formula is used for marking the specific constant, variable read-write and operation rules after the rules are triggered.
4. The vehicle, driver, and transportation requirement matching calculation method according to claim 1, wherein: the rule interpretation module is used for carrying out standardized expression on the transportation requirements and interpreting the transportation requirements into data requirements meeting the specifications.
5. The vehicle, driver, and transportation requirement matching calculation method according to claim 1, wherein: the vehicle characteristic acquisition module and the driver characteristic acquisition module are responsible for acquiring and extracting effective initial data meeting the standard definition range from the corresponding data pool and transmitting the effective initial data to the corresponding abstract module;
the carrier abstraction module and the driver abstraction module respectively carry out rule-based operation processing on effective carrier and driver data.
6. The vehicle, driver, and transportation requirement matching calculation method according to claim 1, wherein: the rule engine carries out modeling according to actual business requirements: the specific modeling process is as follows:
1) taking out the attribute or field meeting the service requirement from the specification and defining the boundary;
2) selecting a rule identifier which meets the requirement of business to participate in operation from a rule conversion module;
3) defining a running constraint: recording the running boundary of the engine and performing exception handling;
4) an engine core: and defining the operation strategy and the operation mode of the engine.
7. The vehicle, driver, and transportation requirement matching calculation method according to claim 1, wherein: the rule engine and the standard requirement data have the following corresponding relation:
1) the standard requirement data comprises a combination result of the vehicle and the driver, and the combination rule of the combination result is determined by the rule engine;
2) a standard requirement data corresponds to one or more engine tags and includes a standard requirement generated by an engine.
8. A vehicle, driver, transportation demand matching calculation system is characterized in that: the system comprises a rule conversion module, a rule interpretation module, a standard requirement data matching engine module, a standard requirement storage module, a carrier characteristic acquisition module, a driver characteristic acquisition module, a carrier abstraction module and a driver abstraction module;
the rule interpretation module is used for carrying out standardized expression on the transportation requirement and interpreting the transportation requirement into a data requirement meeting the specification;
the rule conversion module is used for marking the condition for triggering the rule; marking the uniqueness of the rule; the system is used for marking specific constants, variable read-write and operation rules after the rules are triggered;
the vehicle characteristic acquisition module and the driver characteristic acquisition module are responsible for acquiring and extracting effective initial data meeting the standard definition range from the corresponding data pool and transmitting the effective initial data to the corresponding abstract module;
the carrier abstract module and the driver abstract module respectively carry out rule-based operation processing on effective carrier and driver data;
setting a rule engine, wherein the rule engine is used for acquiring data from a carrier abstract module and a driver abstract module, acquiring standard requirement data meeting rules according to the definition of the current rule engine, and storing the standard requirement data in a standard requirement storage module;
the transportation demand is subjected to standardized interpretation by the rule interpretation module, then the standard demand is recognized, the standard demand data matching engine module is adopted to match with the standard demand data in the standard demand data storage module, the standard demand data meeting the demand is matched, and then the carrier and driver information data meeting the demand are obtained according to the standard demand data.
9. The vehicle, driver, transportation requirement matching computing system of claim 7, wherein: the specification includes nouns, attributes and corresponding meanings within a defined transportation domain; the measurement standard and unit of the related data in the defined transportation field; a source of the determined base specification; restrictions that are ubiquitous in established laws and regulations or businesses; the rule identification method and underlying operating logic have been described.
10. The vehicle, driver, transportation requirement matching computing system of claim 7, wherein: the rule engine carries out modeling according to actual business requirements: the specific modeling process is as follows:
1) taking out the attribute or field meeting the service requirement from the specification and defining the boundary;
2) selecting a rule identifier which meets the requirement of business to participate in operation from a rule conversion module;
3) defining a running constraint: recording the running boundary of the engine and performing exception handling;
4) an engine core: and defining the operation strategy and the operation mode of the engine.
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