CN110245789B - Freight car loading matching method - Google Patents
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- CN110245789B CN110245789B CN201910461926.3A CN201910461926A CN110245789B CN 110245789 B CN110245789 B CN 110245789B CN 201910461926 A CN201910461926 A CN 201910461926A CN 110245789 B CN110245789 B CN 110245789B
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- G06Q—INFORMATION 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
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Abstract
The invention relates to a truck loading matching method, which comprises the following steps: step S10: selecting vehicles, filtering the vehicles to be subjected to equipment transportation according to the conditions of the provided vehicle types, vehicle lengths, loads and the like, and taking the filtered vehicles as basic data; step S20: equipment conversion, namely converting the number of large equipment into the number of small equipment, and calculating a conversion ratio to obtain the total number of the equipment; step S30: vehicle combination, which is sorted according to the vehicle loading rate and then calculates the combination containing the total number of the equipment; step S40: optimizing the combination obtained in the step S30 to obtain an optimized combination; step S50: the preferred combination obtained in step S40 is verified. The freight car loading matching method improves the utilization rate of the vehicles, the carrying rate of the vehicles, improves the information transparency and simultaneously improves the working efficiency.
Description
Technical Field
The invention relates to the technical field of truck loading matching, in particular to a truck loading matching method.
Background
Under the technical innovation and the industrial upgrading development brought by the internet plus, the public can combine the innovation of the supply chain center under the background of introducing innovation, data driving and online-offline fusion, and the public can combine the innovation of the supply chain center under the background of improving the core competitiveness, the data utilization rate and the large data accumulation of the supply chain center. The problems that an intelligent vehicle and goods matching system is lacked in the traditional logistics industry, the labor and time are needed to a certain degree, a balance decision is carried out according to the experience of a party, the information is opaque due to low informatization and intelligent degree, the efficiency is low and the like are solved, and the problems that the vehicle utilization rate, the vehicle space utilization rate and the freight charge are not uniform and the like caused by the problems that a downstream transportation service carrier has no standard system, the digitization is lost in the whole process, the equipment loading is opaque, the equipment loading is not standard and the like in the existing logistics system are mainly solved in the whole freight service information platform.
Aiming at the problems, the traditional distribution method is improved and innovated, a truck loading matching method is provided, and the problems that the existing method is opaque in information, low in efficiency, low in vehicle utilization rate and vehicle space utilization rate and non-uniform in freight charge are solved.
Disclosure of Invention
In order to solve the above problems, the present invention provides a truck loading matching method.
In order to achieve the purpose, the invention provides the following technical scheme: a truck loading matching method comprises the following steps: step S10: selecting vehicles, filtering the vehicles to be subjected to equipment transportation according to the conditions of the provided vehicle types, vehicle lengths, loads and the like, and taking the filtered vehicles as basic data;
step S20: equipment conversion, namely converting the number of large equipment into the number of small equipment, and calculating a conversion ratio to obtain the total number of the equipment;
step S30: vehicle combination, which is sorted according to the vehicle loading rate and then calculates the combination containing the total number of the equipment;
step S40: optimizing the combination obtained in the step S30 to obtain an optimized combination;
step S50: the preferred combination obtained in step S40 is verified.
Preferably, in the step S20, the vehicle loading ratio information corresponding to the minimum device is screened out as the basic loading ratio information, the vehicle loading ratio information corresponding to other devices is reserved as the to-be-converted loading ratio, and a conversion ratio calculation function and a vehicle space waste calculation function are simultaneously constructed, so that a vehicle maximum loading ratio conversion algorithm, a device total number rounding conversion algorithm and a vehicle total loading ratio conversion algorithm are further constructed, and the three algorithms are independent of each other.
Preferably, in the step S30, the full-load number of the vehicle corresponding to the device is used as an element array by a dfs (depthfirst search) depth-first search algorithm, and elements in the array are combined to a number that can accommodate the total number of devices that need to be loaded.
Preferably, the combination with the best space utilization, the combination with the least number of vehicles, and the combination with the most remaining space of vehicles in step S40 are the preferred combinations.
Preferably, the step of verifying the combination in step S50 is:
s51: acquiring loading equipment information of a vehicle corresponding to each equipment;
s52: subtracting the full-load quantity of the vehicle from large to small according to the rule that large equipment is loaded with the large vehicle;
s53: number of full load vehicles to be used-number of devices;
s531: equal to 0, it means just full, the vehicle information is excluded, the device information is excluded, and the step S52 is repeated;
s532: if the current time is less than 0, the vehicle is full, the remaining devices exist, the vehicle information is excluded, and the step S52 is repeated;
s533: if the number of the devices is more than 0, the device loading is finished, the vehicle has a remaining space, the device information is excluded, the remaining capacity/the full-load number of the vehicle is used as a remaining space proportion, the proportion of the remaining capacity/the remaining space corresponding to the remaining devices is continued to be equal to the number of the devices which can be loaded in the remaining space, the device loading is excluded, the vehicle information is excluded, the step S542 is repeated, the combination is equal to 0, and the combination which is equal to zero is reserved.
Compared with the prior art, the invention has the beneficial effects that: the truck loading matching method comprises the following steps: the method is based on the algorithm in the computer, so that the utilization rate of the vehicle, the carrying rate of the vehicle and the information transparency are improved, and meanwhile, the working efficiency is also improved.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: the invention provides a freight car loading matching method, which comprises the following steps,
step S10: and selecting the vehicles, and filtering the vehicles to be subjected to equipment transportation according to the provided conditions such as vehicle types, vehicle lengths, loads and the like to serve as basic data.
Step S20: equipment conversion, namely converting the number of large equipment into the number of small equipment, and calculating a conversion ratio to obtain the total number of the equipment;
step S30: vehicle combination, which is sorted according to the vehicle loading rate and then calculates the combination containing the total number of the equipment;
step S40: optimizing the combination obtained in the step S30 to obtain an optimized combination;
step S50: the preferred combination obtained in step S50 is verified.
Further, in the step S20, vehicle loading ratio information corresponding to the smallest device is screened out as basic loading ratio information, vehicle loading ratio information corresponding to other devices is reserved as a to-be-converted loading ratio, and a vehicle maximum loading ratio conversion algorithm, a device total number rounding conversion algorithm and a vehicle total loading ratio conversion algorithm are constructed, wherein the three algorithms are independent from each other; the obtained conversion equipment data is used as basic data for equipment conversion;
the maximum loading ratio conversion algorithm of the vehicle is calculated by converting the ratioImplemented, the conversion ratio is calculated as follows
r is the conversion rate, x is the loading ratio of the basic equipment, y is the loading ratio of the equipment to be converted, and the largest result is selected and rounded upwards; the vehicle space waste is calculated as
p is space waste rate, ∑ k is total capacity of the optimal vehicle combination, x is required load number of the basic equipment, y is load number of the equipment to be turned,
loading the quantity for the requirement after the conversion rate of rounding up;
the rounding reduction algorithm for the total number of devices is realized by the following formula,
d is the converted quantity, c is the quantity of the equipment to be converted, x is the loading capacity of the basic equipment, and y is the loading capacity of the equipment to be converted; the algorithm keeps the precision of the maximum conversion ratio, does not directly round up, and rounds up the number of converted equipment when equipment conversion is finally carried out, so that the deviation is reduced;
the vehicle total loading ratio conversion algorithm is realized by the following formula:
wherein d is the converted number, c is the number of the equipment to be converted, x is the loading capacity of the basic equipment, and y is the loading capacity of the equipment to be converted, so that the conversion ratio of the equipment to be converted to the basic equipment can be further compressed.
Further, in the step S30, the full-load number of the vehicle corresponding to the device is used as an element array through a dfs (depthfirst search) depth-first search algorithm, and elements in the array are combined to the number of devices that can accommodate the total required load.
Further, the combination with the best vehicle space utilization, the combination with the least number of vehicles, and the combination with the most vehicle remaining space in step S40 are preferred combinations.
Further, the step of verifying the combination in step S50 is:
preferably, the step of verifying the combination in step S50 is:
s51: acquiring loading equipment information of a vehicle corresponding to each equipment;
s52: subtracting the full-load quantity of the vehicle from large to small according to the rule that large equipment is loaded with the large vehicle;
s53: number of full load vehicles to be used-number of devices;
s531: equal to 0, it means just full, the vehicle information is excluded, the device information is excluded, and the step S52 is repeated;
s532: if the current time is less than 0, the vehicle is full, the remaining devices exist, the vehicle information is excluded, and the step S52 is repeated;
s533: if the number of the devices is more than 0, the device loading is finished, the vehicle has a residual space, the device information is excluded, the residual capacity/the full-load number of the vehicle is used as a residual space proportion, the proportion of the residual capacity/the full-load number of the vehicle corresponding to the residual devices is continued to be equal to the number of the devices which can be loaded in the residual space, the device loading is excluded, the vehicle information is excluded, the step S542 is repeated, the combination which is equal to 0 is reserved, the combination which is equal to zero is reserved, and the combination which is equal to zero is selected according to actual conditions.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.
Claims (4)
1. The truck loading matching method is characterized by comprising the following steps:
step S10: selecting vehicles, obtaining the provided vehicle types, vehicle lengths and loads, and filtering the vehicles to be subjected to equipment transportation to serve as basic data;
step S20: equipment conversion, namely converting the number of large equipment into the number of small equipment, and calculating a conversion ratio to obtain the total number of the equipment; in the step S20, vehicle loading ratio information corresponding to the smallest device is screened out as basic loading ratio information, vehicle loading ratio information corresponding to other devices is reserved as a to-be-converted loading ratio, a conversion ratio calculation function and a vehicle space waste calculation function are constructed at the same time, and then a vehicle maximum loading ratio conversion algorithm, a device total number rounding conversion algorithm and a vehicle total loading ratio conversion algorithm are constructed, wherein the three algorithms are independent from each other;
step S30: vehicle combination, which is sorted according to the vehicle loading rate and then calculates the combination containing the total number of the equipment;
step S40: optimizing the combination obtained in the step S30 to obtain an optimized combination;
step S50: the preferred combination obtained in step S40 is verified.
2. The truck cargo matching method according to claim 1, wherein: in step S30, the full load number of the vehicle corresponding to the device is used as an element array by using a dfs (depthfirst search) depth-first search algorithm, and the elements in the array are combined to a value that can accommodate the total number of devices that need to be loaded.
3. The truck cargo matching method according to claim 1, wherein: the combination with the best vehicle space utilization, the combination with the least number of vehicles and the combination with the most vehicle remaining space in the step S40 are the preferred combinations.
4. The truck cargo matching method according to claim 1, wherein: the step of verifying the combination in step S50 is:
s51: acquiring loading equipment information of a vehicle corresponding to each equipment;
s52: subtracting the full-load quantity of the vehicle from large to small according to the rule that large equipment is loaded with the large vehicle;
s53: number of full load vehicles to be used-number of devices;
s531: equal to 0, it means just full, the vehicle information is excluded, the device information is excluded, and the step S52 is repeated;
s532: if the current time is less than 0, the vehicle is full, the remaining devices exist, the vehicle information is excluded, and the step S52 is repeated;
s533: if the number of the devices is more than 0, the device is completely loaded, the vehicle has a remaining space, the device information is excluded, the remaining capacity/the number of full vehicles is used as the ratio of the remaining space, the ratio of the remaining devices corresponding to the vehicle loading to the remaining space = how many devices can be loaded in the remaining space, the number of the devices is excluded, the vehicle information is excluded, the step S542 is repeated, the combination is equal to 0, and the combination equal to zero is reserved.
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| CN111079984B (en) * | 2019-11-26 | 2023-05-12 | 拉货宝网络科技有限责任公司 | Method for predicting number of truck material loads |
| CN116342011B (en) * | 2023-05-23 | 2023-07-21 | 万联易达物流科技有限公司 | Intelligent matching method and system for vehicles and goods in whole vehicle transportation |
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