CN105117879A - Vehicle and cargo intelligent matching method, device and system - Google Patents
Vehicle and cargo intelligent matching method, device and system Download PDFInfo
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- CN105117879A CN105117879A CN201510512431.0A CN201510512431A CN105117879A CN 105117879 A CN105117879 A CN 105117879A CN 201510512431 A CN201510512431 A CN 201510512431A CN 105117879 A CN105117879 A CN 105117879A
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Abstract
The invention discloses a vehicle and cargo intelligent matching method. The method comprises the steps that 1) a server stores vehicle feature metadata and cargo feature metadata; 2) the server carries out preliminary matching on the vehicle feature metadata and the cargo feature metadata to acquire a preliminary result; 3) the server analyzes the acquired matching result to acquire the optimal whole vehicle matching result. The invention further discloses a vehicle and cargo intelligent matching device and system. Compared with the prior art, the method, the device and the system, which are provided by the invention, have the advantages that flexible vehicle and cargo matching is realized; the problems of high communication cost, return resource waste, low cargo turnover rate and the like are solved; and social resources are used to the greatest extent.
Description
Technical field
The present invention relates to logistics management application, specifically, relate to a kind of car, goods Intelligent Matching method, Apparatus and system.
Background technology
Along with the development of internet and logistic industry, modern logistics have been promoted to a principal economic indicators of a city or a country and even global economic development, material flow industry economic implication is also more and more important, and logistics distribution is as a ring most important in logistic industry, its effect and optimization seem of crucial importance.
At present, existing logistics distribution mode leans on manual type to provide and deliver substantially, car owner is generally by traditional logistics or join goods station obtaining information, then goods is sent, and logistics company shunt delivery time, be substantially all look for car by phone, manually, look for goods, go to determine suitable vehicle by artificial comparison, during heavy traffic, often needing to arrange a lot of yardman, there is many deficiencies in this means of distribution.One, this traditional to join the cargo interests formula time longer, and cause driver to stop cost high, efficient resource can not get more good utilisation; The enterprise that two, delivers cannot find oneself vehicle applicable in time, and not in time, circulation of goods rate is on the low side in delivery; Three, to obtain the time of mating longer for the attribute such as cargo type and required vehicle, vehicle commander, tonnage, volume, geographic position, preferential prestowage return car, increase communication exchange cost;
For this reason, how to solve the defect existed in above-mentioned application, providing a kind of car, goods Intelligent Matching method, Apparatus and system, is those skilled in the art's problem demanding prompt solutions.
Summary of the invention
The present invention is directed to above-mentioned Problems existing, provide a kind of car, goods Intelligent Matching method, Apparatus and system, each key character attribute prioritization coupling of the Che Yuanyu source of goods can be realized, solve problems such as linking up cost is high, the return wasting of resources, circulation of goods rate is on the low side.
The present invention for achieving the above object, takes following technical scheme to be achieved:
A kind of car, goods Intelligent Matching method, comprise step:
1) server stores car metadata and goods metadata;
2) server carries out preliminary matches to car metadata and goods metadata, obtains PRELIMINARY RESULTS;
3) server is analyzed the described matching result got, and obtains optimum car load matching result.
Preferably, at described server, the described matching result got is analyzed, also comprises after obtaining optimum car load matching result step:
To non-optimal car load matching result, server record its corresponding car metadata and/or goods metadata, carry out recurrence coupling.
Preferably, described to non-optimal car load matching result, server record its corresponding car metadata and/or goods metadata, carry out recurrence coupling step and be specially:
Server uses greedy algorithm, and carry out Secondary Match to residue car metadata and/or goods metadata, recurrence performs described step 3), until the data of process to be analyzed are empty.
Preferably, use greedy algorithm at described server, carry out Secondary Match to residue car metadata and/or goods metadata, recurrence performs described step 3), also comprise until the data of process to be analyzed are empty step:
The final matching results write into Databasce that server will get, and the information matched is pushed to terminal.
Preferably, described step 2) be specially:
Described car metadata comprises the data such as vehicle departure place, destination, type of vehicle, Vehicle length, weight, vehicle volume;
Described goods metadata comprises the data such as goods departure place, destination, goods weight, goods length, measurement of cargo;
Server is identical with destination according to departure place, cargo type and type of vehicle is compatible, weight, cube, the car source of the coupling such as length and the source of goods mate, and adopt binary mode to calculate to form PRELIMINARY RESULTS.
Preferably, described step 3) be specially:
Server is analyzed the described PRELIMINARY RESULTS obtained, by the contrast of scale-of-two bit position, analyze the similarity of car metadata in described PRELIMINARY RESULTS and goods metadata, and the priority of described PRELIMINARY RESULTS is set according to the scale mode that prestowage amount accounts for full amount, after prioritization, draw optimum car load matching result.
Another object of the present invention is to provide a kind of car, goods Intelligent Matching device, comprise server, memory module and distributed scheduling module is provided with in described server, described distributed scheduling module comprises matching unit, compare of analysis unit, described distributed scheduling module is connected with described memory module, wherein:
Described memory module is used for storing car metadata and goods metadata;
Described matching unit is used for carrying out preliminary matches to car metadata and goods metadata, obtains PRELIMINARY RESULTS;
Described compare of analysis unit is used for analyzing the described matching result got, and obtains optimum car load matching result.
Preferably, described distributed scheduling module also comprises record cell and computing unit;
Described record cell is used for carrying out record to the corresponding car metadata of non-optimal car load matching result and/or goods metadata;
Described computing unit is for adopting greedy algorithm, and carry out Secondary Match to residue car metadata and/or goods metadata, recurrence performs described step 3), until the data of process to be analyzed are empty.
Another object of the present invention is to provide a kind of car, goods Intelligent Matching system, comprises terminal device and car, goods Intelligent Matching device;
Described terminal device and described car, goods Intelligent Matching device are mutual.
Compared with prior art, the present invention possesses following beneficial effect:
The present invention is by being undertaken collecting, store and analyzing by car metadata and goods metadata, realize each key character attribute prioritization coupling of the Che Yuanyu source of goods, reach the flexible coupling of car and goods, solve problems such as linking up cost is high, the return wasting of resources, circulation of goods rate is on the low side, at utmost play social resources.
Accompanying drawing explanation
Fig. 1 is a schematic flow sheet of a kind of car in the embodiment of the present invention, goods Intelligent Matching method;
Fig. 2 is another schematic flow sheet of a kind of car in the embodiment of the present invention, goods Intelligent Matching method;
Fig. 3 is another schematic flow sheet of a kind of car in the embodiment of the present invention, goods Intelligent Matching method;
Fig. 4 is a structural representation of a kind of car in the embodiment of the present invention, goods Intelligent Matching device;
Fig. 5 is another structural representation of a kind of car in the embodiment of the present invention, goods Intelligent Matching device;
Fig. 6 is a composition schematic diagram of a kind of car in the embodiment of the present invention, goods Intelligent Matching system.
Embodiment
Embodiments provide a kind of car, goods Intelligent Matching method, Apparatus and system, the flexible coupling of car and goods can be realized, solve problems such as linking up cost is high, the return wasting of resources, circulation of goods rate is on the low side, at utmost play social resources.
For making goal of the invention of the present invention, feature, advantage can be more obvious and understandable, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, the embodiments described below are only the present invention's part embodiments, and the embodiment of not all.Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments all obtained under creative work prerequisite, belong to the scope of protection of the invention.
As Fig. 1, embodiment 1, in the embodiment of the present invention, an embodiment of a kind of car, goods Intelligent Matching method comprises:
101, server stores car metadata and goods metadata;
In the embodiment of the present invention, in order to realize the optimum matching to car and goods, realize the Appropriate application of logistic resources, first, the metadata of server to the metadata of car and goods carries out collection and stores, thus is that next step coupling is ready.
102, server carries out preliminary matches to car metadata and goods metadata, obtains PRELIMINARY RESULTS;
Server carries out preliminary coupling for the metadata of the car after storage and goods, by this matcher, obtains preliminary matches result.
103, server is analyzed the described matching result got, and obtains optimum car load matching result.
Then, server carries out analysis contrast to the PRELIMINARY RESULTS, the i.e. matching result that obtain, the optimum car load matching result of final acquisition.
In the embodiment of the present invention, by car metadata and goods metadata are carried out collecting, store and analyzing, obtain the optimum priority match of each key character attribute of the Che Yuanyu source of goods, realize the flexible coupling of car and goods, solve problems such as linking up cost is high, the return wasting of resources, circulation of goods rate is on the low side, at utmost play social resources.
Embodiment 2, as Fig. 2, in the embodiment of the present invention, another embodiment of a kind of car, goods Intelligent Matching method comprises:
201, server stores car metadata and goods metadata;
202, server carries out preliminary matches to car metadata and goods metadata, obtains PRELIMINARY RESULTS;
203, server is analyzed the described matching result got, and obtains optimum car load matching result.
The present embodiment step 201 is similar to 103 step contents with the step 101 in above-described embodiment 1 to 203, is not repeated.
204, to non-optimal car load matching result, server record its corresponding car metadata and/or goods metadata, carry out recurrence coupling.
While step 203 obtains optimum car load matching result, in fact some is the data belonging to non-optimal car load matching result, to the data of this part, comprise car metadata and/or goods metadata, server carries out record to it, and carries out Secondary Match to it according to recurrence matching method.
In the embodiment of the present invention, by car metadata and goods metadata being carried out collecting, store and analyzing, obtain the optimum priority match of each key character attribute of the Che Yuanyu source of goods; Simultaneously, to the data not belonging to optimum car load matching result, namely car metadata and/or the goods metadata of non-optimal car load matching result is belonged to, server carries out record to it, and according to recurrence matching method, Secondary Match is carried out to it, until the data of process to be analyzed are empty, thus achieve the flexible coupling of car and goods, solve the problems such as the return wasting of resources, circulation of goods rate are low, at utmost play social resources.
It is to be noted, for the data of non-optimal car load matching result, namely car metadata and/or the goods metadata of optimum car load matching result is not belonged to, server carries out record to these data, use greedy algorithm, do not belong to the car metadata of optimum car load matching result to remaining these and/or goods metadata carries out Secondary Match, recurrence performs step 203, until the data of process to be analyzed be sky.
Embodiment 3, as Fig. 3, in the embodiment of the present invention, another embodiment of a kind of car, goods Intelligent Matching method comprises:
301, server stores car metadata and goods metadata;
302, server carries out preliminary matches to car metadata and goods metadata, obtains PRELIMINARY RESULTS;
303, server is analyzed the described matching result got, and obtains optimum car load matching result.
304, to non-optimal car load matching result, server record its corresponding car metadata and/or goods metadata, carry out recurrence coupling.
The present embodiment step 301 is similar to 204 step contents with the step 201 in above-described embodiment 2 to 304, is not repeated.
305, the final matching results write into Databasce that will get of server, and the information matched is pushed to terminal.
The all final matching results obtained after all data being mated, i.e., when the data of process to be analyzed are empty, are written to database by server, then, in order to realize the docking of data, this result pushes to terminal by server, thus realizes utilizing of data.
In the embodiment of the present invention, by car metadata and goods metadata final matching results are pushed to terminal, achieve utilizing of car metadata and goods metadata analysis result, thus achieve the flexible coupling of car and goods, farthest play social resources.
It should be noted that, car metadata mainly comprises the data such as vehicle departure place, destination, type of vehicle, Vehicle length, weight, vehicle volume; Goods metadata mainly comprises the data such as goods departure place, destination, goods weight, goods length, measurement of cargo; So in the embodiment of the present invention, server carries out preliminary matches to car metadata and goods metadata, the concrete matching process obtaining PRELIMINARY RESULTS is generally:
Server is identical with destination according to departure place; Cargo type is compatible with type of vehicle; Weight, cube, the car source of the coupling such as length and the source of goods mate, and adopt binary computations mode to form PRELIMINARY RESULTS.
Meanwhile, server is analyzed the PRELIMINARY RESULTS got, i.e. matching result, obtains the process of optimum car load matching result, is generally specially:
Server is analyzed the PRELIMINARY RESULTS obtained, by the contrast of scale-of-two bit position, car metadata in analysis PRELIMINARY RESULTS and the similarity of goods metadata, and the priority of PRELIMINARY RESULTS is set according to the scale mode that prestowage amount accounts for full amount, after prioritization, draw optimum car load matching result.
For ease of understanding, be described in detail with the method for an embody rule scene to aforementioned description below, specifically:
There is the empty wagons of wait command, and many wait freights, first, the data Asynchronous loading of empty wagons and goods that storage is issued in high in the clouds by server becomes metadata (comprising GIS position) and enters cache database, preliminary matches is carried out by the Dispatching System in server and cache database, departure place is identical with destination, cargo type and type of vehicle is compatible, weight, cube, the car source of the coupling such as length and source of goods record enter PRELIMINARY RESULTS, PRELIMINARY RESULTS uses binary mode to represent.Then, analyze this PRELIMINARY RESULTS, i.e. matching result, by the contrast of scale-of-two bit position, analyze the similarity of car metadata and goods metadata in PRELIMINARY RESULTS, the priority of corresponding PRELIMINARY RESULTS is set, after prioritization, draw optimum car load matching result, as arrange prestowage amount exceed 80% of full amount for optimum car load matching result, when reaching 80%, coupling terminates.
And those do not reach the data of 80% prestowage amount, as part load or bulk supply tariff, then need to record its residue tonnage and number formulary, carry out recurrence coupling, and use greedy algorithm, utilize the method for similarity priority match, tonnage will be remained, residue number formulary carries out Secondary Match, recurrence performs and " analyzes this PRELIMINARY RESULTS, i.e. matching result, by the contrast of scale-of-two bit position, analyze the similarity of car metadata and goods metadata in PRELIMINARY RESULTS, the priority of corresponding PRELIMINARY RESULTS is set, after prioritization, draw optimum car load matching result, as arrange prestowage amount exceed 80% of full amount for optimum car load matching result, when reaching 80%, coupling terminates.And those do not reach the data of 80% prestowage amount, as part load or bulk supply tariff, then need to record its residue tonnage and number formulary, carry out recurrence coupling " step, until the data of process to be analyzed are empty.
Finally, by net result write into Databasce, obtain task, to terminal device, as garden LED device or handheld device push the resource matched by server distribution formula dispatching system.
Be more than the explanation to car, goods Intelligent Matching method, below car, goods Intelligent Matching device be described.
As Fig. 4, Fig. 5, a kind of car provided in the embodiment of the present invention, goods Intelligent Matching device, comprise server 1, wherein, be provided with memory module 2 and distributed scheduling module 3, and distributed scheduling module 3 is connected in server 1 with memory module 2; Distributed scheduling module 3 comprises matching unit 4, compare of analysis unit 5; Wherein, memory module 2 is for storing car metadata and goods metadata; Matching unit 4, for carrying out preliminary matches to car metadata and goods metadata, obtains PRELIMINARY RESULTS; Compare of analysis unit 5, for analyzing the described matching result got, obtains optimum car load matching result.
Distributed scheduling module 3 also comprises record cell 6 and computing unit 7;
Record cell 6 is for carrying out record to the corresponding car metadata of non-optimal car load matching result and/or goods metadata;
Computing unit 7, for adopting greedy algorithm, carries out Secondary Match to residue car metadata and/or goods metadata, and recurrence performs step 3), until the data of process to be analyzed are empty.
In the embodiment of the present invention, by the connection of these functional modules in server or unit, can realize the reasonably optimizing coupling to car and goods, saving resource, realizes the optimal utilization of social resources.
Below a kind of car provided in the embodiment of the present invention, goods Intelligent Matching system are described, specific as follows:
As Fig. 6, Yi Zhongche, goods Intelligent Matching system, comprise terminal device 8 and car, goods Intelligent Matching device 9; Terminal device 8 is connected with car, goods Intelligent Matching device 9 alternately, and form loop, thus realize the collection of the metadata to car and goods, storage, coupling, analysis, calculating until export optimal result, realize the reasonable disposition of resource of car, goods, and finally realize utilizing of this matching result.
The above, above embodiment only in order to technical scheme of the present invention to be described, is not intended to limit; Although with reference to previous embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (9)
1. car, a goods Intelligent Matching method, is characterized in that, comprise step:
1) server stores car metadata and goods metadata;
2) server carries out preliminary matches to car metadata and goods metadata, obtains PRELIMINARY RESULTS;
3) server is analyzed the described matching result got, and obtains optimum car load matching result.
2. a kind of car according to claim 1, goods Intelligent Matching method, is characterized in that, analyzes the described matching result got at described server, also comprises after obtaining optimum car load matching result step:
To non-optimal car load matching result, server record its corresponding car metadata and/or goods metadata, carry out recurrence coupling.
3. a kind of car according to claim 2, goods Intelligent Matching method, is characterized in that, described to non-optimal car load matching result, server record its corresponding car metadata and/or goods metadata, carries out recurrence coupling step and be specially:
Server uses greedy algorithm, and carry out Secondary Match to residue car metadata and/or goods metadata, recurrence performs described step 3), until the data of process to be analyzed are empty.
4. a kind of car according to claim 3, goods Intelligent Matching method, it is characterized in that, greedy algorithm is used at described server, Secondary Match is carried out to residue car metadata and/or goods metadata, recurrence performs described step 3), also comprise until the data of process to be analyzed are empty step:
The final matching results write into Databasce that server will get, and the information matched is pushed to terminal.
5. a kind of car according to claim 1, goods Intelligent Matching method, is characterized in that, described step 2) be specially:
Described car metadata comprises the data such as vehicle departure place, destination, type of vehicle, Vehicle length, weight, vehicle volume;
Described goods metadata comprises the data such as goods departure place, destination, goods weight, goods length, measurement of cargo;
Server is identical with destination according to departure place, cargo type and type of vehicle is compatible, weight, cube, the car source of the coupling such as length and the source of goods mate, and adopt binary mode to calculate to form PRELIMINARY RESULTS.
6. a kind of car according to claim 1, goods Intelligent Matching method, is characterized in that, described step 3) be specially:
Server is analyzed the described PRELIMINARY RESULTS obtained, by the contrast of scale-of-two bit position, analyze the similarity of car metadata in described PRELIMINARY RESULTS and goods metadata, and the priority of described PRELIMINARY RESULTS is set according to the scale mode that prestowage amount accounts for full amount, after prioritization, draw optimum car load matching result.
7. car, a goods Intelligent Matching device, is characterized in that, comprise server, is provided with memory module and distributed scheduling module in described server, and described distributed scheduling module is connected with described memory module;
Described distributed scheduling module comprises matching unit, compare of analysis unit;
Wherein, described memory module is used for storing car metadata and goods metadata;
Described matching unit is used for carrying out preliminary matches to car metadata and goods metadata, obtains PRELIMINARY RESULTS;
Described compare of analysis unit is used for analyzing the described matching result got, and obtains optimum car load matching result.
8. a kind of car as claimed in claim 7, goods Intelligent Matching device, is characterized in that, described distributed scheduling module also comprises record cell and computing unit;
Described record cell is used for carrying out record to the corresponding car metadata of non-optimal car load matching result and/or goods metadata;
Described computing unit is for adopting greedy algorithm, and carry out Secondary Match to residue car metadata and/or goods metadata, recurrence performs described step 3), until the data of process to be analyzed are empty.
9. car, a goods Intelligent Matching system, is characterized in that, comprises terminal device and the car as described in any one of claim 7 to 8, goods Intelligent Matching device;
Described terminal device and described car, goods Intelligent Matching device are mutual.
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