CN117436778A - Logistics freight car sharing method and assistant system - Google Patents
Logistics freight car sharing method and assistant system Download PDFInfo
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Abstract
The invention discloses a logistics freight transportation carpooling method and an assistant system, wherein the method comprises the following steps: firstly, acquiring truck information of a first vehicle corresponding to a driver end, and acquiring cargo source information of at least one to-be-spliced cargo of a cargo end; then, according to the truck information, finding out a forward route cargo source with a departure destination conforming to the cargo source information through a forward route algorithm; the algorithm is used for solving whether the forward path is formed by the goods source corresponding to the ordered information after the forward path goods source is assembled, and the forward path comprises a nearby forward path, a return forward path or a combined forward path; then judging whether the forward route goods sources are matched with preset constraint conditions or not; if the forward goods source is matched with the preset constraint condition, acquiring first estimated total income and first estimated total expenditure of the ordered information of the driver side, solving second estimated total income and second estimated total expenditure after the new spelling is added, solving estimated new income and estimated new time length after the new spelling is added, and sending the estimated new income and the estimated new time length to the driver side. The invention can effectively reduce cost for owners and drivers.
Description
Technical Field
The invention relates to the field of logistics freight transportation, in particular to a logistics freight transportation carpooling method and an assistant system.
Background
With the development of network information technology and socioeconomic performance, internet freight has been greatly developed. The internet freight mainly comprises a freight owner, a freight platform and a driver, wherein the freight owner issues freight order information through the freight platform, and the driver receives a bill from the freight platform and performs freight delivery.
The prior art mainly has the following technical problems: 1. at present, a one-to-one freight delivery mode is still adopted, so that the delivery cost of a driver is high; 2. the freight platform route does not carry out forward freight delivery according to the actual order position relationship.
Disclosure of Invention
In view of some of the drawbacks of the prior art, the technical problem to be solved by the present invention is to provide a logistics freight car sharing method, which aims to provide a more efficient car sharing and goods finding mode for drivers, and reduce the transportation cost of owners of goods.
In order to achieve the above purpose, the present invention provides a logistics freight train sharing method, which comprises:
step S1, acquiring truck information of a first vehicle corresponding to a driver end, and acquiring source information of at least one piece of to-be-spliced goods at a goods end; the truck information comprises positioning information, ordered information, vehicle type information and bin information of the driver side or the first vehicle; the bin information includes: a remaining bin;
step S2, finding out a forward route cargo source with a departure place and a destination according to the cargo information in the cargo source information through a forward route algorithm; the forward algorithm is used for solving whether a forward path is formed by the forward path goods source bill and the goods source corresponding to the ordered information or not, and comprises a nearby forward path, a return forward path or a link Cheng Shunlu;
step S3, judging whether the forward-going cargo source is matched with a preset constraint condition or not; the preset constraint condition comprises: the residual bin is larger than the required bin of the forward-path cargo source; the size comparison of the residual bin and the required bin comprises weight comparison and volume comparison; checking and defining the rest bin, wherein the cargoes which are not loaded in the spliced list are considered;
and S4, if the forward goods source is matched with the preset constraint condition, acquiring a first estimated total income and a first estimated total expenditure of the placed order information of the driver side, solving a second estimated total income and a second estimated total expenditure after the new spelling, solving an estimated new income and an estimated new time length after the new spelling, and sending the estimated new income and the estimated new time length to the driver side.
In the embodiment, a more efficient carpooling and goods finding mode can be provided for a driver, and a carpooling and goods source can be recommended to the driver through the technologies of a forward algorithm, a carpooling algorithm and the like; meanwhile, a quick display interface capable of quickly deciding whether to splice the order is provided for the driver, so that the order finding and receiving efficiency of a driver user is improved, the transportation cost of the driver is reduced, the transportation profit of the driver is improved, more goods sources can be delivered with limited transportation capacity, and more income is obtained for the driver.
In a specific embodiment, the step of determining the preset constraint condition further includes:
judging whether the prior goods in the ordered information and the goods to be spelled can be carried simultaneously or not;
and/or whether the prior goods in the ordered information and the path section of the to-be-spliced single goods after the splicing are limited by the types and the loads of the prior goods or the to-be-spliced single goods;
and/or whether the delivery time in the ordered information can still be met after the goods to be assembled are assembled.
In this embodiment, the constraint condition is set to effectively determine the feasibility of the menu.
In a specific embodiment, the step of determining the preset constraint condition further includes:
acquiring the timeliness requirement of the prior goods;
judging whether the timeliness requirement can be met after the goods are added; if the matching condition cannot be met, the matching condition is not met;
and/or, obtaining timeliness of the later cargo; if any acquisition exists under the condition of spelling the list, the timeliness requirement is not satisfied, and if the acquisition exists, the spelling condition is not satisfied.
In a specific embodiment, in the step S1, acquiring information of a source of at least one to-be-pieced single cargo at a cargo end further includes:
acquiring a goods finding range setting, a goods loading time setting and a goods finding circuit setting acquired from the driver end; the input modes of the goods searching range setting, the loading time setting and the goods searching circuit setting comprise: text input, voice input, control setting input.
In a specific embodiment, the method further comprises:
acquiring the total space shape corresponding to the placed order information and/or the placed shape information of the first goods corresponding to the first vehicle and the total cargo volume corresponding to the vehicle type information of the driver side, and acquiring the three-dimensional shape of the to-be-spliced single goods;
solving a shape of a put-able space according to the total space shape and the put shape information;
judging whether the single goods to be spliced can be directly loaded on the first vehicle under the condition of not adjusting the goods according to the three-dimensional shape and the shape of the space capable of being placed; if not, outputting a reminder.
In the embodiment, the method and the device effectively solve the shape of the first vehicle in the placing space and output whether new goods can be directly loaded under the condition of not adjusting the goods, so that the convenience of the driver in order spelling is improved.
In a specific embodiment, the method further comprises:
acquiring a first image of the first vehicle at the driver side after loading a previous order;
solving and obtaining the placeable space shape of the first vehicle according to the first image;
acquiring the three-dimensional shape of the single to-be-spliced goods, and judging whether the single to-be-spliced goods can be directly loaded onto the first vehicle under the condition of not adjusting the goods according to the shape of the placing space; if not, outputting a reminder.
In the embodiment, the placeable space of the first vehicle is acquired through image acquisition, so that the automation of related data solving is improved.
In a specific embodiment, the method further comprises:
transmitting display content to the driver side; the display content comprises:
the goods source information of at least one piece of goods to be spelled;
and/or a pre-planned route corresponding to each of the single goods to be spliced;
and/or revenue expectations corresponding to each of the individual pieces of merchandise.
In a second aspect of the invention, there is provided a logistics freight car pooling assistant system, the system comprising:
a driver end, a server end and a goods end; the driver end is in communication connection with the server end, and the goods end is in communication connection with the server end; the server side comprises:
the data acquisition module is used for acquiring truck information of a first vehicle corresponding to a driver end and acquiring source information of at least one piece of to-be-spliced goods at a goods end; the truck information comprises positioning information, ordered information, vehicle type information and bin information of the driver side or the first vehicle; the bin information includes: a remaining bin;
the forward algorithm module is used for finding forward goods sources with departure destinations conforming to the forward algorithm in the goods source information according to the goods vehicle information; the forward algorithm is used for solving whether a forward path is formed by the forward path goods source bill and the goods source corresponding to the ordered information or not, and comprises a nearby forward path, a return forward path or a link Cheng Shunlu;
the constraint judging module is used for judging whether the forward-road cargo source is matched with a preset constraint condition or not; the preset constraint condition comprises: the residual bin is larger than the required bin of the forward-path cargo source; the size comparison of the residual bin and the required bin comprises weight comparison and volume comparison; checking and defining the rest bin, wherein the cargoes which are not loaded in the spliced list are considered;
and the income solving module is used for responding to the matching of the forward-going goods source and the preset constraint condition, acquiring a first estimated total income and a first estimated total expenditure of the placed order information of the driver side, solving a second estimated total income and a second estimated total expenditure after the new spelling bill is added, solving an estimated new income and an estimated new time length after the new spelling bill is added, and sending the estimated new income and the estimated new time length to the driver side.
In a specific embodiment, the server side further includes an adjustment-free cargo determining module, where the adjustment-free cargo determining module is configured to:
acquiring the total space shape corresponding to the placed order information and/or the placed shape information of the first goods corresponding to the first vehicle and the total cargo volume corresponding to the vehicle type information of the driver side, and acquiring the three-dimensional shape of the to-be-spliced single goods;
solving a shape of a put-able space according to the total space shape and the put shape information;
judging whether the single goods to be spliced can be directly loaded on the first vehicle under the condition of not adjusting the goods according to the three-dimensional shape and the shape of the space capable of being placed; if not, outputting a reminder.
The invention has the beneficial effects that: 1. the invention provides a more efficient carpooling and goods finding mode for a driver, and recommends a carpooling and goods source to the driver through technologies such as a barway algorithm, a carpooling algorithm and the like; meanwhile, a quick display interface capable of quickly deciding whether to splice the order is provided for the driver, so that the order finding and receiving efficiency of a driver user is improved, the transportation cost of the driver is reduced, the transportation profit of the driver is improved, more goods sources can be delivered with limited transportation capacity, and more income is obtained for the driver. 2. The method and the system effectively solve the shape of the first vehicle in the placing space, output whether new goods can be directly loaded under the condition of not adjusting the goods, and improve the convenience of the driver to make up the list. And moreover, the placeable space of the first vehicle can be acquired through image acquisition, so that the automation of solving related data is improved. 3. The invention provides references for the earnings and decisions of the spelling bill of the driver through earning solving.
Drawings
FIG. 1 is a flow chart of a method of a logistics freight car pooling assistant in accordance with one embodiment of the present invention;
FIG. 2 is a schematic view of three forward scenes of a logistics freight car pooling assistant method in accordance with one embodiment of the present invention;
FIG. 3 is a source list sub-interface of the source details interface of a logistics freight car pooling assistant method in accordance with one embodiment of the present invention;
FIG. 4 is a detailed source interface of a source detail interface of a logistics freight car pooling assistant method in accordance with one embodiment of the present invention;
FIG. 5 is a schematic illustration of a cargo line plan for a logistics freight car pooling assistant method in accordance with one embodiment of the present invention;
FIG. 6 is a schematic view of an order detail view of a logistics freight car pooling assistant method in accordance with an embodiment of the present invention;
FIG. 7 is a schematic diagram of feedback functionality of a method of logistics freight car pooling assistance in accordance with an embodiment of the present invention;
FIG. 8 is a schematic diagram of a preference setting for a logistics freight car pooling assistant method in accordance with one embodiment of the present invention;
FIG. 9 is a system block diagram of a method of logistical freight car pooling assistant in an embodiment of the invention.
Description of the embodiments
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
In the description of the present invention, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
The embodiment of the invention provides a logistics freight car sharing assistant method, which is shown in fig. 1-8 and comprises the following steps:
step S1, acquiring truck information of a first vehicle corresponding to a driver end, and acquiring source information of at least one piece of to-be-spliced goods at a goods end; the truck information comprises positioning information, ordered information, vehicle type information and bin information of the driver side or the first vehicle; the bin information includes: a remaining bin;
it should be noted that the positioning information includes, but is not limited to, a current positioning, a current driving direction, a short-term predicted driving track (e.g. a driving route of the next 5 minutes), a reporting frequency, etc.; the goods source information of the ordered goods to be spelled comprises, but is not limited to, latitude and longitude of departure place/destination, goods information, remark text, call records and the like; the vehicle type information includes, but is not limited to, vehicle body length, width, height, brand information, nuclear load, transportation space, etc.; the bin information can also include, but is not limited to, a cargo finding route, a car pooling preference, etc. filled by the driver; the platform can also carry out algorithm classification and summarization according to the positioning information of the driver side, the information of the ordered orders, the information of the vehicle types, the information of the warehouse positions and the information of other goods sources (including goods to be spliced) of the platform.
Step S2, finding out a forward route cargo source with a departure place and a destination according to the cargo information in the cargo source information through a forward route algorithm; the forward algorithm is used for solving whether a forward path is formed by the forward path goods source bill and the goods source corresponding to the ordered information or not, and comprises a nearby forward path, a return forward path or a link Cheng Shunlu;
wherein, as shown in fig. 2, when two adjacent orders are distributed to the driver, the distribution of the preceding goods and the distribution of the following goods are included; four sets of actions are correspondingly included: front cargo loading, rear cargo loading, front cargo unloading, rear cargo unloading, corresponding forward delivery scenarios are given in fig. 2; summarizing, there are mainly three forward scenarios:
(1) nearby forward road: at least one point of the loading or unloading site of the spelled goods source is within X meters near the comparison order;
(2) return forward path: the unloading place of the spliced goods source is within X meters near the loading place of the comparison goods source, and the loading place of the spliced goods source is within Y meters near the unloading place of the comparison goods source;
(3) a link Cheng Shunlu; the loading place of the spliced goods source is within X meters near the unloading place of the compared goods source, and the total transportation mileage is less than Y kilometers;
step S3, judging whether the forward-going cargo source is matched with a preset constraint condition or not; the preset constraint condition comprises: the residual bin is larger than the required bin of the forward-path cargo source; the size comparison of the residual bin and the required bin comprises weight comparison and volume comparison; checking and defining the rest bin, wherein the cargoes which are not loaded in the spliced list are considered;
typically, the considerations of the remaining space include weight considerations and volume considerations;
weight: { vehicle rated load } { spelled cargo weight } { loaded cargo weight } ] =0 (configurable);
volume: { vehicle nominal space } { spelled cargo volume } { cargo volume } { loaded volume } ] =0 (configurable);
in addition, the driver may choose not to spell.
And S4, if the forward goods source is matched with the preset constraint condition, acquiring a first estimated total income and a first estimated total expenditure of the placed order information of the driver side, solving a second estimated total income and a second estimated total expenditure after the new spelling, solving an estimated new income and an estimated new time length after the new spelling, and sending the estimated new income and the estimated new time length to the driver side.
Further, the determining of the constraint condition further includes:
judging whether the prior goods in the ordered information and the goods to be spelled can be carried simultaneously or not;
and/or whether the prior goods in the ordered information and the path section of the to-be-spliced single goods after the splicing are limited by the types and the loads of the prior goods or the to-be-spliced single goods;
and/or whether the delivery time in the ordered information can still be met after the goods to be spliced are spliced; such as discharge time, delivery time, corresponding constraints are required.
In the typical case, the order client who has received the order has a requirement on timeliness, and the step of determining the constraint condition further includes:
acquiring the timeliness requirement of the prior goods;
judging whether the timeliness requirement can be met after the goods are added; if the matching condition cannot be met, the matching condition is not met;
and/or, obtaining timeliness of the later cargo; if any acquisition exists under the condition of spelling the list, the timeliness requirement is not satisfied, and if the acquisition exists, the spelling condition is not satisfied.
In addition, the driver can set certain conditions on the spelling list at the driver end, for example:
in the step S1, acquiring the source information of at least one to-be-spliced single cargo at the cargo end, and further includes:
acquiring a goods finding range setting, a goods loading time setting and a goods finding circuit setting acquired from the driver end; the input modes of the goods searching range setting, the loading time setting and the goods searching circuit setting comprise: text input, voice input, control setting input.
It is worth mentioning that the voice input can be the direct voice input of the driver to the driver side APP directly, or can be obtained by collecting the telephone or voice call between the driver and the cargo owner; the driver communicates with the owner phone and analyzes the content through NLP algorithm.
Typically, a "driver preference setting" interface may be designed at the driver end APP, in which a goods searching range setting, a goods loading time setting, a goods searching route setting, etc. are set; for example, find goods range: the amount of goods spelled within how many kilometers is desired; loading time: it is expected that the goods can be loaded in how many hours in the future; and (5) finding a cargo line: the driver often walks along the route, tending to connect the goods on the route.
Typically, the data of increased income and time cost, other cost and the like of the driver can be output through the income condition of the received orders of the driver, the income additionally increased after the bill is spliced by the driver, and the cost (such as oil cost/electricity cost, road cost and the like) additionally generated by the bill is spliced by the driver, so that the driver can evaluate whether the bill is received or not.
In addition, in order to facilitate the driver to receive goods conveniently, the shapes of the goods of the spell sheets can be solved in advance, whether the driver can directly spell the sheets under the condition of not adjusting the goods is judged, and the efficiency is improved; thus, in this embodiment, the method further comprises:
acquiring the total space shape corresponding to the placed order information and/or the placed shape information of the first goods corresponding to the first vehicle and the total cargo volume corresponding to the vehicle type information of the driver side, and acquiring the three-dimensional shape of the to-be-spliced single goods;
solving a shape of a put-able space according to the total space shape and the put shape information;
judging whether the single goods to be spliced can be directly loaded on the first vehicle under the condition of not adjusting the goods according to the three-dimensional shape and the shape of the space capable of being placed; if not, outputting a reminder.
In order to facilitate faster judgment of whether a driver can directly splice a bill without adjusting goods, the following scheme can be further adopted to automatically acquire the shape of a put-able space; that is, in a typical example, the method further comprises:
acquiring a first image of the first vehicle at the driver side after loading a previous order;
solving and obtaining the placeable space shape of the first vehicle according to the first image;
acquiring the three-dimensional shape of the single to-be-spliced goods, and judging whether the single to-be-spliced goods can be directly loaded onto the first vehicle under the condition of not adjusting the goods according to the shape of the placing space; if not, outputting a reminder.
In addition, a three-dimensional model bin can be built in the APP at the driver end, and the driver can fill the three-dimensional model bin to represent the occupied bin, and otherwise, the rest bin.
In order to facilitate the driver to review the relevant data information, in this embodiment, the method further includes:
transmitting display content to the driver side; the display content comprises:
the goods source information of at least one piece of goods to be spelled;
and/or a pre-planned route corresponding to each of the single goods to be spliced;
and/or revenue expectations corresponding to each of the individual pieces of merchandise.
Typically, as shown in FIG. 3, the driver in the driver APP can display a list of shipment sources. Clicking on a specific source then enters source details to view the source information, as shown in fig. 4. If the platform algorithm considers that the goods source and other goods source are in sharing together to be taken as a bill, the income of a driver is more favorable, a [ carpooling assistant ] inlet appears at the lower left part of the detail of the goods source, the driver can enter a list page for recommending that the driver and the original goods source can be in sharing together after clicking, the driver can briefly check the interested goods source through the list, and the driver can enter a sharing route preview page after clicking.
As shown in fig. 5, after entering the collage route preview page, the system displays the route information and the forward route degree of the proposed collage to the driver through a map according to the information such as the departure place and the destination of the goods source, so as to assist the driver in making a menu-receiving collage decision. In addition, the system also provides the function of recommending the forward route goods source of the driver in order details after the order is received by the two orders together for the scene that the driver receives the order or does not receive the order, so as to solve the spelling load requirement of the driver in different scenes.
As shown in fig. 6, the driver may click on specific order viewing details. 7-8, if a driver considers that the route is not smooth, the driver can inform the forward algorithm through the feedback function provided by the system, so as to ask for the system to be more and more accurate; aiming at the situation that the driver does not receive orders in the platform, the system also provides the function of enabling the driver to report the current planned route and the current position by himself, and preference setting can be performed.
As shown in fig. 1-9, in a second embodiment of the present invention, there is provided a logistics freight car pooling assistant system, the system comprising:
a driver end 200, a server end 100 and a goods end 300; the driver end 200 is in communication connection with the server end 100, and the goods end 300 is in communication connection with the server end 100; the server side 100 includes:
the data acquisition module 101 is configured to acquire truck information of a first vehicle corresponding to the driver end 200, and acquire source information of at least one to-be-spliced cargo of the cargo end 300; the truck information comprises positioning information, ordered information, vehicle type information and bin information of the driver side 200 or the first vehicle; the bin information includes: a remaining bin;
the forward algorithm module 102 is configured to find a forward cargo source according to a departure destination through a forward algorithm in the cargo source information according to the truck information; the forward algorithm is used for solving whether a forward path is formed by the forward path goods source bill and the goods source corresponding to the ordered information or not, and comprises a nearby forward path, a return forward path or a link Cheng Shunlu;
a constraint judging module 103, configured to judge whether the forward-route cargo source is matched with a preset constraint condition; the preset constraint condition comprises: the residual bin is larger than the required bin of the forward-path cargo source; the size comparison of the residual bin and the required bin comprises weight comparison and volume comparison; checking and defining the rest bin, wherein the cargoes which are not loaded in the spliced list are considered;
and the income solving module 104 is configured to obtain a first estimated total income and a first estimated total expense of the placed order information of the driver side 200 in response to the forward route cargo source being matched with the preset constraint condition, solve a second estimated total income and a second estimated total expense after the new spelling bill is added, solve an estimated new income and an estimated new time length after the new spelling bill is added, and send the estimated new income and the estimated new time length to the driver side 200.
In this embodiment, the server side 100 further includes an adjustment-free cargo determining module, where the adjustment-free cargo determining module is configured to:
acquiring the placed order information and/or the placed shape information of the first goods corresponding to the first vehicle and the total space shape corresponding to the total cargo volume corresponding to the vehicle type information of the driver side 200, and acquiring the three-dimensional shape of the to-be-spliced single goods;
solving a shape of a put-able space according to the total space shape and the put shape information;
judging whether the single goods to be spliced can be directly loaded on the first vehicle under the condition of not adjusting the goods according to the three-dimensional shape and the shape of the space capable of being placed; if not, outputting a reminder.
Other portions of the present embodiment are the same as those of the first embodiment, and those skilled in the art can refer to the first embodiment, and will not be described here again.
The foregoing describes in detail preferred embodiments of the present invention. It should be understood that numerous modifications and variations can be made in accordance with the concepts of the invention by one of ordinary skill in the art without undue burden. Therefore, all technical solutions which can be obtained by logic analysis, reasoning or limited experiments based on the prior art by the person skilled in the art according to the inventive concept shall be within the scope of protection defined by the claims.
Claims (9)
1. A method of logistics freight transportation and pooling, the method comprising:
step S1, acquiring truck information of a first vehicle corresponding to a driver end, and acquiring source information of at least one piece of to-be-spliced goods at a goods end; the truck information comprises positioning information, ordered information, vehicle type information and bin information of the driver side or the first vehicle; the bin information includes: a remaining bin;
step S2, finding out a forward route cargo source with a departure place and a destination according to the cargo information in the cargo source information through a forward route algorithm; the forward algorithm is used for solving whether a forward path is formed by the forward path goods source corresponding to the placed order information after the forward path goods source is assembled, and comprises a nearby forward path, a return forward path or a link Cheng Shunlu;
step S3, judging whether the forward-going cargo source is matched with a preset constraint condition or not; the preset constraint condition comprises: the residual bin is larger than the required bin of the forward-path cargo source; the size comparison of the residual bin and the required bin comprises weight comparison and volume comparison; checking and defining the rest bin, wherein the cargoes which are not loaded in the spliced list are considered;
and S4, if the forward goods source is matched with the preset constraint condition, acquiring a first estimated total income and a first estimated total expenditure of the placed order information of the driver side, solving a second estimated total income and a second estimated total expenditure after the new spelling, solving an estimated new income and an estimated new time length after the new spelling, and sending the estimated new income and the estimated new time length to the driver side.
2. The method for logistics freight transportation and carpooling as defined in claim 1, wherein the step of determining the preset constraint condition further includes:
judging whether the prior goods in the ordered information and the goods to be spelled can be carried simultaneously or not;
and/or whether the prior goods in the ordered information and the path section of the to-be-spliced single goods after the splicing are limited by the types and the loads of the prior goods or the to-be-spliced single goods;
and/or whether the delivery time in the ordered information can still be met after the goods to be assembled are assembled.
3. The method for logistics freight transportation and carpooling as defined in claim 1, wherein the step of determining the preset constraint condition further includes:
acquiring the timeliness requirement of the prior goods;
judging whether the timeliness requirement can be met after the goods are added; if the matching condition cannot be met, the matching condition is not met;
and/or, obtaining timeliness of the later cargo; if any acquisition exists under the condition of spelling the list, the timeliness requirement is not satisfied, and if the acquisition exists, the spelling condition is not satisfied.
4. The method for logistics freight sharing according to claim 1, wherein in the step S1, the method for obtaining the information of the source of at least one to-be-shared single-cargo at the cargo end further comprises:
acquiring a goods finding range setting, a goods loading time setting and a goods finding circuit setting acquired from the driver end; the input modes of the goods searching range setting, the loading time setting and the goods searching circuit setting comprise: text input, voice input, control setting input.
5. A method of logistics freight transportation and pooling of vehicles according to claim 1, wherein said method further comprises:
acquiring the total space shape corresponding to the placed order information and/or the placed shape information of the first goods corresponding to the first vehicle and the total cargo volume corresponding to the vehicle type information of the driver side, and acquiring the three-dimensional shape of the to-be-spliced single goods;
solving a shape of a put-able space according to the total space shape and the put shape information;
judging whether the single goods to be spliced can be directly loaded on the first vehicle under the condition of not adjusting the goods according to the three-dimensional shape and the shape of the space capable of being placed; if not, outputting a reminder.
6. A method of logistics freight transportation and pooling of vehicles according to claim 1, wherein said method further comprises:
acquiring a first image of the first vehicle at the driver side after loading a previous order;
solving and obtaining the placeable space shape of the first vehicle according to the first image;
acquiring the three-dimensional shape of the single to-be-spliced goods, and judging whether the single to-be-spliced goods can be directly loaded onto the first vehicle under the condition of not adjusting the goods according to the shape of the placing space; if not, outputting a reminder.
7. A method of logistics freight transportation and pooling of vehicles according to claim 1, wherein said method further comprises:
transmitting display content to the driver side; the display content comprises:
the goods source information of at least one piece of goods to be spelled;
and/or a pre-planned route corresponding to each of the single goods to be spliced;
and/or revenue expectations corresponding to each of the individual pieces of merchandise.
8. A logistics freight car pooling assistant system, the system comprising:
a driver end, a server end and a goods end; the driver end is in communication connection with the server end, and the goods end is in communication connection with the server end; the server side comprises:
the data acquisition module is used for acquiring truck information of a first vehicle corresponding to a driver end and acquiring source information of at least one piece of to-be-spliced goods at a goods end; the truck information comprises positioning information, ordered information, vehicle type information and bin information of the driver side or the first vehicle; the bin information includes: a remaining bin;
the forward algorithm module is used for finding forward goods sources with departure destinations conforming to the forward algorithm in the goods source information according to the goods vehicle information; the forward algorithm is used for solving whether a forward path is formed by the forward path goods source corresponding to the placed order information after the forward path goods source is assembled, and comprises a nearby forward path, a return forward path or a link Cheng Shunlu;
the constraint judging module is used for judging whether the forward-road cargo source is matched with a preset constraint condition or not; the preset constraint condition comprises: the residual bin is larger than the required bin of the forward-path cargo source; the size comparison of the residual bin and the required bin comprises weight comparison and volume comparison; checking and defining the rest bin, wherein the cargoes which are not loaded in the spliced list are considered;
and the income solving module is used for responding to the matching of the forward-going goods source and the preset constraint condition, acquiring a first estimated total income and a first estimated total expenditure of the placed order information of the driver side, solving a second estimated total income and a second estimated total expenditure after the new spelling bill is added, solving an estimated new income and an estimated new time length after the new spelling bill is added, and sending the estimated new income and the estimated new time length to the driver side.
9. The logistics freight car pooling assistant system of claim 8, wherein the server side further comprises an adjustment-free cargo determination module configured to:
acquiring the total space shape corresponding to the placed order information and/or the placed shape information of the first goods corresponding to the first vehicle and the total cargo volume corresponding to the vehicle type information of the driver side, and acquiring the three-dimensional shape of the to-be-spliced single goods;
solving a shape of a put-able space according to the total space shape and the put shape information;
judging whether the single goods to be spliced can be directly loaded on the first vehicle under the condition of not adjusting the goods according to the three-dimensional shape and the shape of the space capable of being placed; if not, outputting a reminder.
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