CN111105084B - Logistics information processing method, device and equipment and computer storage medium - Google Patents
Logistics information processing method, device and equipment and computer storage medium Download PDFInfo
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Abstract
The embodiment of the application provides a logistics information processing method, a logistics information processing device, logistics information processing equipment and a computer storage medium. The method comprises the following steps: the method comprises the steps of obtaining storage parameters of goods at a storage point, transportation distance parameters of the goods to a target warehouse and demand parameters of the target warehouse for the goods; acquiring a priority value of the goods transported to a target warehouse according to the storage parameters of the goods at the storage point, the transportation parameters of the goods to the target warehouse and the demand parameters of the goods by the target warehouse; judging whether the goods are transported to a target warehouse or not according to the priority value; and if the judgment result is that the goods are transported to the target warehouse, pushing a transport message to a terminal to remind related personnel to transport the goods to the target warehouse. According to the embodiment of the application, the effective utilization rate of the warehouse can be improved, and the conflict between the logistics vehicle conveying and the production scheduling plan is avoided.
Description
Technical Field
The present application relates to the field of transportation, and in particular, to a method, an apparatus, a device, and a computer storage medium for processing logistics information.
Background
Warehouse management is also called warehouse management, belongs to a part of logistics management, and refers to effective control of activities such as receiving, sending and storing of warehoused goods, and aims to ensure that the warehoused goods are intact for enterprises, ensure normal operation of production and management activities, classify and record activity conditions of various goods on the basis, and express comprehensive management forms of the conditions of the warehoused goods in terms of quantity and quality, geographic positions, departments, order attribution, warehouse dispersion degree and the like in a definite chart mode. Due to the increased production volume, warehouse management may not be in place with the production needs, which may result in less than optimal utilization of warehouse resources.
Disclosure of Invention
In order to improve the effective utilization rate of warehouse resources, improve the linking degree of warehouse management and production requirements, and adapt to the requirements of increased production capacity on warehouses, the embodiment of the application provides a logistics information processing method, a logistics information processing device, logistics information processing equipment and a computer storage medium.
The embodiment of the present application first provides a method for processing logistics information, including:
the method comprises the steps of obtaining storage parameters of goods at a storage point, transportation distance parameters of the goods to a target warehouse and demand parameters of the target warehouse for the goods;
acquiring a priority value of the goods transported to a target warehouse according to the storage parameters of the goods at the storage point, the transportation parameters of the goods to the target warehouse and the demand parameters of the goods by the target warehouse;
judging whether the goods are transported to a target warehouse or not according to the priority value;
and if the judgment result is that the goods are transported to the target warehouse, pushing a transport message to a terminal to remind related personnel to transport the goods to the target warehouse.
In one embodiment, the method further comprises:
acquiring position information and destination information of the logistics vehicle;
according to the position information and the destination information, calculating the shortest distance from the logistics vehicle to an optional warehouse in a set range near the destination and the estimated time for the logistics vehicle to reach the optional warehouse;
determining planning warehouse information of the logistics vehicle according to the shortest distance, the estimated time and the residual capacity of the optional warehouse;
and sending the planning warehouse information to the logistics vehicle.
In one embodiment, obtaining a priority value for transporting the goods to a target warehouse according to the storage parameters of the goods at the storage point, the transportation parameters of the goods to the target warehouse and the demand parameters of the goods by the target warehouse comprises:
calculating a first priority parameter of the goods transported to the target warehouse according to the storage parameters of the goods at the storage points; calculating a second priority parameter of the goods transported to the target warehouse according to the transportation parameter of the goods to the target warehouse; calculating a third priority parameter of the goods transported to the target warehouse according to the demand parameter of the goods by the target warehouse;
calculating a sum of the first priority parameter, the second priority parameter, and the third priority parameter as the priority value.
In one embodiment, determining whether to transport the cargo to a target warehouse according to the priority value includes:
and if the priority value is greater than a set threshold value and the residual capacity of the target warehouse is greater than the capacity required by the goods, judging that the goods are transported to the target warehouse.
An embodiment of the present application further provides a logistics information processing apparatus, including:
a parameter acquisition module: the system comprises a storage unit, a target warehouse and a control unit, wherein the storage unit is used for acquiring storage parameters of goods at a storage point, transportation distance parameters of the goods to the target warehouse and demand parameters of the target warehouse for the goods;
a priority value acquisition module: the system comprises a storage point, a target warehouse and a priority value of the goods to be transported, wherein the storage point is used for storing the goods;
a judging module: the system is used for judging whether the goods are transported to a target warehouse or not according to the priority value;
a reminding module: and if the judgment result is that the goods are transported to the target warehouse, pushing a transport message to a terminal to remind related personnel to transport the goods to the target warehouse.
In one embodiment, the apparatus further comprises:
the logistics vehicle information acquisition module: the system comprises a terminal, a terminal and a system server, wherein the terminal is used for acquiring position information and destination information of a logistics vehicle;
the logistics vehicle information analysis module: the system comprises a system management center, a system management center and a logistics vehicle, wherein the system management center is used for calculating the shortest distance from the logistics vehicle to an optional warehouse in a set range near a destination and the estimated time for the logistics vehicle to reach the optional warehouse according to the position information and the destination information;
a planning warehouse information determination module: the system comprises a warehouse management system, a warehouse management system and a warehouse management system, wherein the warehouse management system is used for determining planning warehouse information of the logistics vehicle according to the shortest distance, the estimated time and the residual capacity of the optional warehouse;
the planning warehouse information sending module: for sending the planning warehouse information to the logistics vehicle.
In one embodiment, the priority value obtaining module includes:
a priority parameter calculation unit: the first priority parameter is used for calculating the first priority parameter of the goods transported to the target warehouse according to the storage parameters of the goods at the storage points; calculating a second priority parameter of the goods transported to the target warehouse according to the transportation parameter of the goods to the target warehouse; calculating a third priority parameter of the goods transported to the target warehouse according to the demand parameter of the goods by the target warehouse;
a priority parameter processing unit: for calculating a sum of the first priority parameter, the second priority parameter and the third priority parameter as the priority value.
In one embodiment, the determining module is further configured to:
and if the priority value is greater than a set threshold value and the residual capacity of the target warehouse is greater than the capacity required by the goods, judging that the goods are transported to the target warehouse.
The embodiment of the application also provides logistics information processing equipment, which comprises a memory and a processor;
the memory is to store instructions;
when the processor executes the instructions stored in the memory, the logistics information processing method provided by any one of the embodiments of the present application can be implemented.
The embodiment of the application also provides a computer storage medium, which comprises a stored program, wherein the program is used for executing the logistics information processing method provided by any one of the embodiments of the application.
The logistics information processing method, the logistics information processing device, the logistics information processing equipment and the computer storage medium can promote information intercommunication among warehouses and prevent certain warehouses from being full of explosive materials; the position of the foreign logistics vehicle can be acquired in real time, queuing and unloading situations of the foreign logistics vehicle are reduced, and new requirements for warehouse management are met due to the increase of production capacity; meanwhile, the embodiment of the application optimizes the paths of the warehouse and the workshop, and reduces the transportation cost in the factory; developments are in coordination, allotment goods, and is convenient high-efficient, improves the utilization ratio in warehouse, improves the linking degree of warehouse management and production demand.
Drawings
Fig. 1 is a flowchart of a method for processing logistics information according to an embodiment of the present application;
fig. 2 is a flowchart of a method for processing logistics information according to another embodiment of the present application;
fig. 3 is a schematic view of a logistics information processing apparatus according to an embodiment of the present application;
fig. 4 is a schematic view of a logistics information processing apparatus according to another embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all 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 application.
It should be noted that the terms "comprises" and "comprising," and any variations thereof, in this specification are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present application, there is provided a logistics information processing method embodiment, it should be noted that the steps shown in the flowchart of the figure can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from the order here.
As shown in fig. 1, an embodiment of the present application first provides a logistics information processing method, where the logistics information processing method includes:
step S11: the method comprises the steps of obtaining storage parameters of goods at a storage point, transportation distance parameters of the goods to a target warehouse and demand parameters of the target warehouse for the goods;
step S12: acquiring a priority value of the goods transported to a target warehouse according to the storage parameters of the goods at the storage point, the transportation parameters of the goods to the target warehouse and the demand parameters of the goods by the target warehouse;
step S13: judging whether the goods are transported to a target warehouse or not according to the priority value;
step S14: and if the judgment result is that the goods are transported to the target warehouse, pushing a transport message to a terminal to remind related personnel to transport the goods to the target warehouse.
In the embodiment of the application, after the goods are transported to the destination, the goods can be stored in the storage point and then conveyed to each warehouse from the storage point. The target warehouse may be one of warehouses to which goods may be delivered. The storage parameters of the goods at the storage point can comprise the storage days. The transportation parameter of the goods to the target warehouse may be a transportation distance of the goods to the target warehouse.
In this embodiment of the present application, determining whether to transport the goods to the target warehouse according to the priority value may include: and selecting the goods with the highest priority value according to the priority values calculated by the goods of different batches aiming at the same target warehouse, and judging that the goods are transported to the target warehouse.
In the embodiment of the present application, the goods may be any materials that can be stored in a warehouse, such as raw materials for production, finished products for production, semi-finished products in the production process, and the like.
In this embodiment of the application, whether the goods are transported to the target warehouse is determined according to the priority value, and a determination result is obtained, where the obtained determination result may be that the goods are transported to the target warehouse or that the goods are not transported to the target warehouse.
In the embodiment of the present application, since the determination result is only an indication or suggestion of whether to transport the goods to the target warehouse, whether to actually transport the goods to the target warehouse still requires actual transportation operation to be achieved. Therefore, according to the embodiment of the application, the residual capacity of the target warehouse can be estimated according to the judgment result. For example, if it is determined to transport the goods to the target warehouse, an estimated remaining capacity of the target warehouse is obtained according to the required capacity of the goods and the existing remaining capacity of the target warehouse. The specific operation may be to subtract the required capacity of the goods from the existing remaining capacity of the target warehouse, and the obtained value is the estimated remaining capacity of the target warehouse. For another example, if it is determined that one batch of goods is to be transported to the target warehouse while it is also determined that another batch of goods needs to be transported to the target warehouse, the estimated remaining capacity of the target warehouse may be updated according to the two determination results and the current actual remaining capacity of the target warehouse.
In the present embodiment, the target warehouse may be an optimal warehouse or a sub-optimal warehouse for the transportation of goods. If the goods are judged not to be transported to the target warehouse, the target warehouse can be replaced to carry out re-judgment, or the same target warehouse can be re-judged at set intervals.
In general, whether the goods are stored in the target warehouse is generally determined by the current state of the goods, the transportation cost of the goods, the demand of the target warehouse for the goods, or the accommodation condition of the goods. In the embodiment of the application, whether the goods are transported to the target warehouse or not is determined according to the storage parameters of the goods, the transportation parameters of the goods to the target warehouse and the demand parameters of the target warehouse to the goods, so that the reasonable planning effect can be achieved on warehouse storage, the goods with high relative demand can be stored by warehouse resources at relatively low cost, and the use efficiency of the warehouse resources is improved.
In a real-time manner, as shown in fig. 2, the method for processing logistics information further includes:
step S21: acquiring position information and destination information of the logistics vehicle;
step S22: according to the position information and the destination information, calculating the shortest distance from the logistics vehicle to an optional warehouse in a set range near the destination and the estimated time for the logistics vehicle to reach the optional warehouse;
step S23: determining planning warehouse information of the logistics vehicle according to the shortest distance, the estimated time and the residual capacity of the optional warehouse;
step S24: and sending the planning warehouse information to the logistics vehicle.
Currently, a large factory has a plurality of warehouses, but only a few of them can be used for unloading and quality inspection, namely, the warehouses serve as storage points for goods. After unloading it needs to be left for some time at the storage site before it can be transported away. The warehouse needs to access a lot of goods every day, which has the following problems: information among all warehouses of a factory is not communicated, the conditions that some warehouses are full, some warehouses have large space often occur, and the distance from the warehouses to a production workshop is long. The goods transportation condition is not controlled sufficiently, a plurality of transport vehicles arrive at the same time often, the condition of queuing for checking and unloading is required, and not little pressure is caused to a warehouse. The goods in the warehouses are often placed for a period of time and then transported to the workshop, so that when one warehouse is full, the goods can be transported to other warehouses, but the other warehouses may be far away from the workshop, and the transportation cost in the middle is high. In the case where the cargo not stored in the warehouse near the workshop is urgently demanded by the workshop or the cargo stored in the warehouse near the workshop is not urgently demanded, the warehouse resources are not utilized reasonably, and it is difficult to sufficiently exert the function of the warehouse.
In the embodiment of the present application, the remaining capacity of the optional warehouse may be an estimated remaining capacity of the optional warehouse. After the goods are judged to be transported to the target warehouse according to the flow shown in fig. 1, the residual capacity of the target warehouse can be estimated according to the volume occupied by the goods and the current residual capacity of the target warehouse, so as to obtain the estimated residual capacity of the target warehouse.
In the embodiment of the application, a transportation management platform based on a positioning system is constructed through a positioning technology, and the position of each transport vehicle can be positioned in real time. The method specifically comprises the steps of arranging a Bluetooth base station along the route of the logistics vehicle, installing a Bluetooth beacon on the logistics vehicle, acquiring the position information of the logistics vehicle in real time, and predicting the time when the logistics vehicle reaches a warehouse. During the transportation of the logistics vehicles, the planning warehouse of the logistics vehicles can be determined according to the estimated arrival time of the logistics vehicles, the current capacity of the warehouse and the estimated capacity of the warehouse, and the planning warehouse information is sent to the logistics vehicles, so that the logistics vehicles can determine to transport goods to the target warehouse according to the planning warehouse information. The allocation of the transport vehicles in the factory area is carried out on the transport management platform, so that the unloading warehouse has enough space before the arrival of the foreign logistics vehicles, and the transported goods are placed in the warehouse which is close to the goods workshop. The utilization ratio of the warehouse and the punctuality rate of the foreign logistics vehicles are guaranteed through dynamic cooperation on the whole.
In the embodiment of the application, the Dijkstra (shortest path) algorithm can be used for calculating the shortest distance from each workshop to each warehouse, so that the shortest distance in the embodiment is obtained, and the optimal warehouse and the suboptimal warehouse are screened for a certain batch of goods. During transportation, the specific warehouse for delivering the goods is determined by combining the workshop needing the batch of goods.
In this embodiment of the application, determining the planned warehouse information of the logistics vehicle according to the shortest distance, the estimated time, and the estimated remaining capacity of the optional warehouse may include:
determining the priority in the optional warehouse of the logistics vehicle according to the shortest distance;
according to the estimated time and the estimated capacity of the optional warehouse, sequentially judging whether the optional warehouse can accommodate the goods of the logistics vehicle from the optional warehouse with the highest priority until the optimal optional warehouse which can accommodate the goods of the logistics vehicle is found in the optional warehouse;
taking an optimal optional warehouse capable of containing the goods of the logistics vehicle as a planning warehouse;
and acquiring planning warehouse information.
In the embodiment of the application, the estimated capacity of the optional warehouse can be determined according to historical input and output information of the warehouse.
In another embodiment of the present application, the estimated capacity of the optional warehouse may be determined based on historical inputs, output information, and the goods to be input or output. The goods to be input or output from the warehouse may be determined according to the remaining estimated capacity determined in fig. 1. The maximum storage amount and the currently used storage amount of each warehouse can be calculated according to cubic meters, an alarm line of the storage amount of each warehouse is specified, and when the warehouse storage exceeds the alarm line, an alarm is triggered to send alarm information to a logistics vehicle, a storage point or an adjacent warehouse to remind that the storage of the warehouse is reduced.
If the estimated arrival time of the logistics vehicle is changed due to an emergency in the transportation process of the logistics vehicle, the planning warehouse information of the logistics vehicle can be obtained again according to the changed estimated arrival time.
In the embodiment of the application, the freight transportation records related to each warehouse can be collected, and the total storage amount of each warehouse and the utilization rate of any warehouse can be estimated through big data analysis. And constructing a big data platform for storing relevant information of logistics transportation of each warehouse and analyzing and predicting the transportation allocation data. The logistics transportation information data of each warehouse are collected on a big data platform, the big data technology is used for analyzing, the storage capacity of each warehouse is estimated, and information such as when the transportation peak is in a transportation peak, when the logistics vehicles are easy to delay, and when the warehouse is easy to explode is analyzed through the historical data. Through the member big data platform, the position information of each logistics vehicle and the state of transported goods are displayed to relevant operators in real time, the time of arrival of transported vehicles is calculated through an intelligent algorithm, the historical track of the transportation route of the logistics vehicles can be displayed, and the relevant data can be conveniently analyzed subsequently.
In an embodiment of the present application, obtaining a priority value of transporting the goods to a target warehouse according to a storage parameter of the goods at a storage point, a transportation parameter of the goods to the target warehouse, and a demand parameter of the target warehouse for the goods includes:
calculating a first priority parameter of the goods transported to the target warehouse according to the storage parameters of the goods at the storage points; calculating a second priority parameter of the goods transported to the target warehouse according to the transportation parameter of the goods to the target warehouse; calculating a third priority parameter of the goods transported to the target warehouse according to the demand parameter of the goods by the target warehouse;
calculating a sum of the first priority parameter, the second priority parameter, and the third priority parameter as the priority value.
In one example of the application, the storage time of the goods is classified according to 1 to 10 by taking 2 days as a unit, for example, the weight of the goods is 1 within 2 days of storage, the weight of the goods is 5 within 8 to 10 days of storage, and the weight of the goods is 10 in more than 20 days; the transportation distance of the goods is divided into 10 categories of 1 to 10 according to the distance, the farthest weight is 1, and the nearest weight is 10; the urgency of delivery of goods is classified into categories 1 to 10 according to the quantity of goods required on the production planning days and the current status of inventory remaining in the optimal warehouse of the workshop, for example, the quantity of goods required on the second day is greater than the quantity of inventory, the urgency is marked as 10, if the quantity of goods produced on the last two days is greater than the quantity of inventory, the weight is set to 9, and if the quantity of inventory required on the last 10 days can be satisfied, the weight is set to 1.
When the goods need to be transported out of the warehouse, weights are distributed to the transporting distance, the placing time of the goods at the storing point and the urgency degree of goods transportation (namely the demand degree of the target warehouse for the goods) according to the proportion of 2: 3: 5, and when the priority value is calculated, the transporting distance, the placing time of the goods at the storing point and the urgency degree of goods transportation are respectively multiplied by coefficients of 0.2, 0.3 and 0.5. If the weight of one lot is 5, 6, or 4 and the weight of the other lot is 4, 3, or 7, the priority values are 5 × 0.2+6 × 0.3+4 × 0.5 to 4.8 and 4 × 0.2+3 × 0.3+7 × 0.5 to 5.2, respectively, so that the subsequent cargos are preferentially transported. Wherein, 5 × 0.2 is the first priority parameter of a batch of goods, 6 × 0.3 is the second priority parameter of a batch of goods, and 4 × 0.5 is the third priority parameter of a batch of goods. 4 x 0.2 is the first priority parameter of another batch of goods, 3 x 0.3 is the second priority parameter of another batch of goods, and 7 x 0.5 is the third priority parameter of another batch of goods. And during transportation, the goods with the priority value of 5.2 are preferably transported to the optimal warehouse, and if the optimal warehouse is stored more, the goods are transported to the next optimal warehouse.
In the embodiment of the application, the base station required by the positioning system can be arranged on the transportation route of the logistics vehicle, so that the position information of the logistics vehicle can be obtained in real time no matter where the logistics vehicle is on the route.
In one embodiment, determining whether to transport the cargo to a target warehouse according to the priority value includes:
and if the priority value is greater than a set threshold value and the residual capacity of the target warehouse is greater than the capacity required by the goods, judging that the goods are transported to the target warehouse.
In this application embodiment, can combine commodity circulation car location platform and warehouse management system, if the warehouse that the commodity circulation car transported to is close to exploding full, the system can select some goods in the warehouse to transport other warehouse that are closer to the workshop, if the best warehouse also can't hold, will select the suboptimum warehouse to transport the storage, when guaranteeing that the freight arrives, need not wait for, direct discharge.
An embodiment of the present application further provides a logistics information processing apparatus, as shown in fig. 3, including:
the parameter acquisition module 31: the system comprises a storage unit, a target warehouse and a control unit, wherein the storage unit is used for acquiring storage parameters of goods at a storage point, transportation distance parameters of the goods to the target warehouse and demand parameters of the target warehouse for the goods;
the priority value acquisition module 32: the system comprises a storage point, a target warehouse and a priority value of the goods to be transported, wherein the storage point is used for storing the goods;
the judging module 33: the system is used for judging whether the goods are transported to a target warehouse or not according to the priority value;
the reminding module 34: and if the judgment result is that the goods are transported to the target warehouse, pushing a transport message to a terminal to remind related personnel to transport the goods to the target warehouse.
In one embodiment, as shown in fig. 4, the apparatus further comprises:
the logistics vehicle information acquisition module 41: the system comprises a terminal, a terminal and a system server, wherein the terminal is used for acquiring position information and destination information of a logistics vehicle;
the logistics vehicle information analysis module 42: the system comprises a system management center, a system management center and a logistics vehicle, wherein the system management center is used for calculating the shortest distance from the logistics vehicle to an optional warehouse in a set range near a destination and the estimated time for the logistics vehicle to reach the optional warehouse according to the position information and the destination information;
planning warehouse information determination module 43: the system comprises a warehouse management system, a warehouse management system and a warehouse management system, wherein the warehouse management system is used for determining planning warehouse information of the logistics vehicle according to the shortest distance, the estimated time and the residual capacity of the optional warehouse;
planning warehouse information sending module 44: for sending the planning warehouse information to the logistics vehicle.
In one embodiment, the priority value obtaining module includes:
a priority parameter calculation unit: the first priority parameter is used for calculating the first priority parameter of the goods transported to the target warehouse according to the storage parameters of the goods at the storage points; calculating a second priority parameter of the goods transported to the target warehouse according to the transportation parameter of the goods to the target warehouse; calculating a third priority parameter of the goods transported to the target warehouse according to the demand parameter of the goods by the target warehouse;
a priority parameter processing unit: for calculating a sum of the first priority parameter, the second priority parameter and the third priority parameter as the priority value.
In one embodiment, the determining module is further configured to:
and if the priority value is greater than a set threshold value and the residual capacity of the target warehouse is greater than the capacity required by the goods, judging that the goods are transported to the target warehouse.
The embodiment of the application also provides logistics information processing equipment, which comprises a memory and a processor;
the memory is to store instructions;
when the processor executes the instructions stored in the memory, the logistics information processing method provided by any one of the embodiments of the present application can be implemented.
The embodiment of the application also provides a computer storage medium, which comprises a stored program, wherein the program is used for executing the method provided by any one of the embodiments of the application.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A logistics information processing method is characterized by comprising the following steps:
the method comprises the steps of obtaining a storage time parameter of goods at a storage point, a transportation distance parameter of the goods to a target warehouse and a demand parameter of the target warehouse for the goods;
estimating a priority value of the goods transported to a target warehouse according to the storage time parameter of the goods at a storage point, the transportation distance parameter of the goods to the target warehouse and the demand parameter of the goods by the target warehouse;
judging whether the goods are transported to a target warehouse or not according to the priority value;
and if the judgment result is that the goods are transported to the target warehouse, pushing a transport message to a terminal to remind related personnel to transport the goods to the target warehouse.
2. The method of claim 1, further comprising:
acquiring position information and destination information of the logistics vehicle;
according to the position information and the destination information, calculating the shortest distance from the logistics vehicle to an optional warehouse in a set range near the destination and the estimated time for the logistics vehicle to reach the optional warehouse;
determining planning warehouse information of the logistics vehicle according to the shortest distance, the estimated time and the residual capacity of the optional warehouse;
and sending the planning warehouse information to the logistics vehicle.
3. The method of claim 1, wherein obtaining the priority value for the transportation of the goods to the target warehouse according to the storage parameter of the goods at the storage point, the transportation parameter of the goods to the target warehouse and the demand parameter of the goods by the target warehouse comprises:
calculating a first priority parameter of the goods transported to the target warehouse according to the storage parameters of the goods at the storage points; calculating a second priority parameter of the goods transported to the target warehouse according to the transportation parameter of the goods to the target warehouse; calculating a third priority parameter of the goods transported to the target warehouse according to the demand parameter of the goods by the target warehouse;
calculating a sum of the first priority parameter, the second priority parameter, and the third priority parameter as the priority value.
4. The method of claim 1, wherein determining whether to transport the good to a target warehouse based on the priority value comprises:
and if the priority value is greater than a set threshold value and the residual capacity of the target warehouse is greater than the capacity required by the goods, judging that the goods are transported to the target warehouse.
5. A logistics information processing apparatus, characterized by comprising:
a parameter acquisition module: the system comprises a storage unit, a target warehouse and a control unit, wherein the storage unit is used for acquiring storage parameters of goods at a storage point, transportation distance parameters of the goods to the target warehouse and demand parameters of the target warehouse for the goods;
a priority value acquisition module: the system comprises a storage point, a target warehouse and a priority value of the goods to be transported, wherein the storage point is used for storing the goods;
a judging module: the system is used for judging whether the goods are transported to a target warehouse or not according to the priority value to obtain a judgment result;
a reminding module: and if the judgment result is that the goods are transported to the target warehouse, pushing a transport message to a terminal to remind related personnel to transport the goods to the target warehouse.
6. The apparatus of claim 5, further comprising:
the logistics vehicle information acquisition module: the system comprises a terminal, a terminal and a system server, wherein the terminal is used for acquiring position information and destination information of a logistics vehicle;
the logistics vehicle information analysis module: the system comprises a system management center, a system management center and a logistics vehicle, wherein the system management center is used for calculating the shortest distance from the logistics vehicle to an optional warehouse in a set range near a destination and the estimated time for the logistics vehicle to reach the optional warehouse according to the position information and the destination information;
a planning warehouse information determination module: the system comprises a warehouse management system, a warehouse management system and a warehouse management system, wherein the warehouse management system is used for determining planning warehouse information of the logistics vehicle according to the shortest distance, the estimated time and the residual capacity of the optional warehouse;
the planning warehouse information sending module: for sending the planning warehouse information to the logistics vehicle.
7. The apparatus of claim 5, wherein the priority value obtaining module comprises:
a priority parameter calculation unit: the first priority parameter is used for calculating the first priority parameter of the goods transported to the target warehouse according to the storage parameters of the goods at the storage points; calculating a second priority parameter of the goods transported to the target warehouse according to the transportation parameter of the goods to the target warehouse; calculating a third priority parameter of the goods transported to the target warehouse according to the demand parameter of the goods by the target warehouse;
a priority parameter processing unit: for calculating a sum of the first priority parameter, the second priority parameter and the third priority parameter as the priority value.
8. The apparatus of claim 5, wherein the determining module is further configured to:
and if the priority value is greater than a set threshold value and the residual capacity of the target warehouse is greater than the capacity required by the goods, judging that the goods are transported to the target warehouse.
9. The logistics information processing equipment is characterized by comprising a memory and a processor;
the memory is to store instructions;
the processor, when executing instructions stored in the memory, is capable of implementing a method as claimed in any one of claims 1-4.
10. A computer storage medium, characterized in that the computer storage medium comprises a stored program, wherein the program is adapted to perform the method of any of claims 1-4.
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| CN114066345A (en) * | 2020-08-10 | 2022-02-18 | 上海顺如丰来技术有限公司 | Method, device, server and storage medium for planning transit transportation |
| CN115169651A (en) * | 2022-06-20 | 2022-10-11 | 成都运荔枝科技有限公司 | Cold chain transportation path allocation method |
| CN116562481B (en) * | 2023-04-06 | 2023-12-15 | 江苏智慧工场技术研究院有限公司 | AGV multi-target point autonomous navigation method, system, terminal and storage medium |
| CN116637840A (en) * | 2023-05-30 | 2023-08-25 | 陕西国防工业职业技术学院 | Intelligent dispatching management system for distribution logistics suitable for electronic commerce platform |
| CN117114534B (en) * | 2023-08-28 | 2024-03-26 | 浙江中之杰智能系统有限公司 | Block chain-based product factory internal logistics management method and system |
| CN117495237B (en) * | 2023-12-29 | 2024-04-16 | 广州宇中网络科技有限公司 | Management method, device and readable storage medium for freight distribution system |
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