CN112668907A - Logistics node management information processing method and device - Google Patents
Logistics node management information processing method and device Download PDFInfo
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Abstract
The invention relates to a method and a device for processing logistics node management information, wherein the method comprises the following steps: acquiring goods storage information; determining storage deadline data and transportation duration data according to the cargo storage information, and determining transportation time period information according to the storage deadline data and the transportation duration data; and determining transportation plan information according to the transportation time period information and the cargo storage information. According to the logistics node management information processing method and device, the state of the goods stored in the logistics node is monitored in real time, when the time efficiency of the goods is up, the transportation plan is automatically generated according to the goods storage information, and the goods are timely and effectively transported to the target site.
Description
Technical Field
The invention relates to the technical field of logistics, in particular to a method and a device for processing logistics node management information.
Background
The statistical data of the Chinese logistics and purchasing union show that in 2018, the total logistics cost of China's society reaches 13.3 trillion yuan, which is increased by 9.8% compared with 2017, and the first three industries with higher logistics utilization rate and the occupation ratios thereof are 17.2% of cement, 13.1% of coal and 11.3% of chemical industry respectively, wherein the logistics utilization rate is equal to the ratio of the logistics cost to the sales cost, a logistics supply chain occupies an important position in the petrochemical industry, and a well-managed supply chain is favorable for improving profits, slowly releasing risks and acquiring competitive advantages. The realization of end-to-end supply chain optimization is a great source for obtaining benefits by utilizing an optimization technology, and is beneficial to realizing data-driven business optimization decision, so that cost advantage and business opportunity are obtained on the whole supply chain.
The position can not once only be transported to under the commodity circulation transportation majority circumstances of energy enterprise, need save each commodity circulation node temporarily and carry out the transfer, but because every commodity circulation node daily commodity flow is great, the condition that the goods that often can appear the storage became invalid verifies influence conveying efficiency and cost of transportation.
Disclosure of Invention
The invention aims to provide a method and a device for processing logistics node management information, which aim to overcome the defects of the prior art, monitor the state of goods stored in logistics nodes in real time, automatically generate a transportation plan according to goods storage information when the goods are timely and arrive, and realize timely and effective transportation of the goods to a target site.
In order to achieve the above object, a first aspect of the embodiments of the present invention provides a method for processing logistics node management information, where the method for processing logistics node management information includes:
acquiring goods storage information;
determining storage deadline data and transportation duration data according to the cargo storage information, and determining transportation time period information according to the storage deadline data and the transportation duration data;
and determining transportation plan information according to the transportation time period information and the cargo storage information.
Preferably, the cargo storage information includes storage time data, aging duration data, information of stored logistics nodes, information of destination sites, weight data and volume data.
Preferably, the transportation plan information includes transportation vehicle information and transportation person information.
Further preferably, the transportation vehicle information includes vehicle IDs, vehicle type information corresponding to each vehicle ID, and cargo allocation information corresponding to each vehicle ID.
Further preferably, the transportation person information includes a person ID corresponding to each of the vehicle IDs.
A second aspect of the embodiments of the present invention provides a device for processing logistics node management information, including:
the processing module is used for acquiring goods storage information;
determining storage deadline data and transportation duration data according to the cargo storage information, and determining transportation time period information according to the storage deadline data and the transportation duration data;
and determining transportation plan information according to the transportation time period information and the cargo storage information.
A third aspect of an embodiment of the present invention provides an electronic device, including: a memory, a processor, and a transceiver;
the processor is configured to be coupled to the memory, read and execute instructions in the memory, so as to implement the method steps of the first aspect;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium storing computer instructions that, when executed by a computer, cause the computer to perform the method of the first aspect.
A fifth aspect of embodiments of the present invention provides a computer-readable storage medium storing computer instructions that, when executed by a computer, cause the computer to perform the method of the first aspect.
The logistics node management information processing method and device provided by the embodiment of the invention can monitor the state of the goods stored in the logistics node in real time, and automatically generate a transportation plan according to the goods storage information when the goods are timely and correct, so that the goods can be timely and effectively transported to a target site.
Drawings
Fig. 1 is a flowchart of a method for processing logistics node management information according to an embodiment of the present invention;
fig. 2 is a block diagram of a logistics node management information processing apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, 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.
The logistics node management information processing method and device provided by the invention can monitor the state of the goods stored in the logistics node in real time, and automatically generate a transportation plan according to the goods storage information when the goods are timely and correct, so that the goods can be timely and effectively transported to a target site.
Fig. 1 is a flowchart of a method for processing logistics node management information according to an embodiment of the present invention, and the following describes a technical solution of the present invention in detail with reference to fig. 1.
specifically, the cargo storage information includes storage time data, aging time data, information stored in logistics nodes, destination site information, weight data and volume data. The goods storage information may also include goods storage number information, storage personnel information, goods contact information, goods status information, and the like.
In the embodiment of the present invention, the logistics node may be understood as a large warehouse for storing goods. The information stored in the logistics node comprises a logistics node ID and a storage position ID, and is used for quickly searching and storing goods. The destination site information may be understood as destination information of the final shipment of the cargo. The aging duration data can be the maximum storage duration of the goods at the logistics node, and can also be understood as the effective shelf life of the goods. The weight data and the volume data may be understood as storing overall weight data and overall volume data of the batch of stored goods.
Wherein, the weight data and the volume data can also be used as a proof of goods when the goods are taken out. In general, the weight data and the volume data of the cargo are not changed, and the cargo is considered to be not lost during the storage process of the logistics section.
In a preferred scheme, the weight data and the volume data can also be weight data and volume data of single goods of the batch of goods, and in such a scheme, the quantity of the corresponding goods needs to be added in the logistics node information.
In a further preferred scheme, before the goods storage information is obtained, storage positions in the logistics node are determined according to volume data and weight data input by a user, and each storage position has attribute information. Whether the goods are stored in one storage location or a plurality of storage locations is determined based on the attribute information. The attribute information may include floor area, height, temperature and humidity, and the like.
In order to fully play the role of the logistics nodes, the storage rate of each logistics node is counted in real time, and when the storage rate is smaller than a preset threshold value, prompt information is sent. When the subsequent goods select the logistics node, the logistics node with low storage rate is preferably selected.
specifically, storage deadline data is determined according to the storage time data and the aging time duration data, and transportation time duration data is determined according to the storage site information and the destination site information.
The storage deadline data can be understood as the latest time of taking the goods out of the logistics node, and the transportation duration data is calculated according to the distance of the path generated by the stored station information and the destination station information.
The transportation period includes an departure deadline and a current time. The departure deadline is specific time data calculated according to the storage deadline data and the transportation duration data, and the departure time period is time period data generated according to the current time data and the departure deadline data. That is, departure can be performed from the current time to the departure deadline. The specific current time data is earlier than the departure deadline data.
And step 130, determining transportation plan information according to the transportation time period information and the cargo storage information.
Specifically, the transportation plan information includes transportation vehicle information and transportation person information. The transportation vehicle information includes vehicle IDs, vehicle type information corresponding to each vehicle ID, and cargo allocation information corresponding to each vehicle ID. The transportation person information includes a person ID corresponding to each vehicle ID.
And searching a vehicle information base according to the transportation time period information, and determining that the vehicle in an idle state exists in the transportation time period. And evaluating according to the weight data and the volume data of the goods, and determining the vehicle type information of the vehicle suitable for distribution. And then, distributing according to the vehicle type, the weight data of the cargos and the volume data of the cargos, and determining the weight or the volume or the quantity of the cargos transported by each vehicle. Correspondingly, the personnel information base is searched according to the transportation time period information, and the condition that personnel are idle in the transportation time period is determined. And, establish the incidence relation of one-to-one correspondence between vehicle and personnel.
Before determining that the vehicles in the idle state exist in the transportation time period, comparing the time length of the transportation time period with a preset time length, and when the time length of the transportation time period is greater than the preset time length, determining a plurality of optional transportation time periods in the transportation time period according to the preset time length to realize the centralized transportation of the cargos.
The evaluation is performed according to the weight data and the volume data of the cargo, and the determination of the vehicle type information of the vehicle suitable for distribution specifically comprises the following steps: the method comprises the steps of obtaining model information of a vehicle in an idle state, determining the volume upper limit value and the weight upper limit value of each model according to the model information, analyzing and processing according to weight data and the weight upper limit value to obtain a first analysis result, analyzing and processing according to the volume data and the volume upper limit value to obtain a second analysis result, and determining the first vehicle model information according to the first analysis result and the second analysis result. And determining cargo allocation information allocated to each vehicle based on the first vehicle type information. The cargo allocation information may be allocation information in units of quantity or weight or volume.
In a preferred embodiment, after the transportation planning information is determined, the vehicle ID, the vehicle type information, and the cargo allocation information are transmitted to the corresponding person.
In one specific example, the cargo storage information: the storage time data is 1 month and 1 day in 2020, the aging time data is 1 year, the information of the logistics nodes is Shandong logistics nodes, the information of the target sites is Shanghai sites, the quantity of the cargos is 100, the weight data of each cargo is 25 kg, and the volume data of each cargo is 1m3. The current time is 12 months and 1 day 2020.
And determining that the storage deadline data of the goods is 12, month and 31 days in 2020 for 1 month and 1 year according to the data of the storage time, determining that the data of the transportation deadline is 4 days for the Shandong logistics node according to the information of the logistics node stored in the Shanghai and determining that the data of the transportation deadline is 4 days for the Shanghai. Thus, the transportation period may be determined to be from 1/12/2020 to 26/12/2020.
According to the transportation time period, the information of the idle vehicles on the days from 12 months 1 in 2020 to 12 months 26 in 2020 is inquired in sequence. Taking the example of 12/2/2020, the idle vehicle is found to have two types.
Wherein the upper limit value of the volume of the first vehicle type vehicle is 45m3And an upper weight limit of 1 ton and a quantity of 2; the upper limit value of the volume of the vehicle of the first type is 50m3And an upper weight limit of 1 ton and a quantity of 3.
Since the number of the first vehicles is not enough, the second vehicle type vehicles are selected and are respectively allocated to the 3 second vehicle type vehicles with 1 ton, 1 ton and 0.5 ton of cargos.
The final transportation plan information is: and transporting the goods W to the Shanghai site from the Shandong logistics node at 12 and 2 months in 2020. A second model, lua 12345, 1 ton of distributed goods W, carrier a; a second vehicle type, lub 12345, 1 ton of distributed goods W, a carrier B; second model, luq 12345, 0.5 ton of distributed goods W, carrier Q.
In a further preferred scheme, when distributing cargos to each vehicle, the length, the width and the height of each cargo can be considered, so that more accurate distribution can be realized. When determining the transportation vehicles, the weight of the transportation vehicles may not be the same, but the combination of the vehicles of various types confirmed according to the stored cargo information may be considered according to the number of the vehicles, the rate, the speed and the like.
Fig. 2 is a block diagram of a logistics node management information processing apparatus according to a second embodiment of the present invention; the device may be the logistics node management information processing apparatus described in the foregoing embodiment, or may be a device capable of implementing the method provided in the embodiment of the present application, for example, the device may be a device or a chip system in the logistics node management information processing apparatus. As shown in fig. 2, the apparatus includes:
the processing module 201 is used for acquiring goods storage information;
determining storage deadline data and transportation duration data according to the cargo storage information, and determining transportation time period information according to the storage deadline data and the transportation duration data;
and determining transportation plan information according to the transportation time period information and the cargo storage information.
In a specific embodiment, the cargo storage information comprises logging time data, aging time duration data, logging logistics node information, destination site information, weight data and volume data.
In another specific embodiment, the transportation plan information includes transportation vehicle information and transportation personnel information.
In another specific embodiment, the transportation vehicle information includes vehicle IDs, vehicle type information corresponding to each vehicle ID, and cargo allocation information corresponding to each vehicle ID.
In another specific embodiment, the transportation person information includes a person ID corresponding to each vehicle ID.
The logistics node management information processing apparatus provided in the embodiment of the present invention may execute the method steps in the foregoing method embodiments, and the implementation principle and technical effect are similar, which are not described herein again.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the determining module may be a processing element separately set up, or may be implemented by being integrated in a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the function of the determining module is called and executed by a processing element of the apparatus. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when some of the above modules are implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can invoke the program code. As another example, these modules may be integrated together and implemented in the form of a System-on-a-chip (SOC).
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optics, Digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, bluetooth, microwave, etc.). DVD), or semiconductor media (e.g., Solid State Disk (SSD)), etc.
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. The electronic device may be the aforementioned pick-up reservation information processing device. As shown in fig. 3, the electronic device 300 may include: a processor 31 (e.g., CPU), a memory 32, a transceiver 33; the transceiver 33 is coupled to the processor 31, and the processor 31 controls the transceiving operation of the transceiver 33. Various instructions may be stored in memory 32 for performing various processing functions and implementing method steps performed by the electronic device of embodiments of the present invention. Preferably, the electronic device according to an embodiment of the present invention may further include: a power supply 34, a system bus 35, and a communication port 36. The system bus 35 is used to implement communication connections between the elements. The communication port 36 is used for connection communication between the electronic device and other peripherals.
The system bus mentioned in fig. 3 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The system bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface is used for realizing communication between the database access device and other equipment (such as a client, a read-write library and a read-only library). The Memory may include a Random Access Memory (RAM) and may also include a Non-Volatile Memory (Non-Volatile Memory), such as at least one disk Memory.
The Processor may be a general-purpose Processor, including a central processing unit CPU, a Network Processor (NP), and the like; but also a digital signal processor DSP, an application specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components.
It should be noted that the embodiment of the present invention also provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the method and the processing procedure provided in the above-mentioned embodiment.
The embodiment of the invention also provides a chip for operating the instructions, and the chip is used for executing the method and the processing process provided by the embodiment.
Embodiments of the present invention also provide a program product including a computer program stored in a storage medium, from which the computer program can be read by at least one processor, and the at least one processor executes the methods and processes provided in the embodiments.
According to the logistics node management information processing method and device, the state of the goods stored in the logistics node is monitored in real time, when the time efficiency of the goods is up, the transportation plan is automatically generated according to the goods storage information, and the goods are timely and effectively transported to the target site.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, it should be understood that the above embodiments are merely exemplary embodiments of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (8)
1. A method for processing logistics node management information is characterized by comprising the following steps:
acquiring goods storage information;
determining storage deadline data and transportation duration data according to the cargo storage information, and determining transportation time period information according to the storage deadline data and the transportation duration data;
and determining transportation plan information according to the transportation time period information and the cargo storage information.
2. The logistics node management information processing method of claim 1, wherein the cargo storage information comprises logging time data, aging duration data, logging logistics node information, destination site information, weight data, and volume data.
3. The logistics node management information processing method of claim 1, wherein the transportation plan information includes transportation vehicle information and transportation personnel information.
4. The logistics node management information processing method of claim 3, wherein the transportation vehicle information comprises vehicle IDs, vehicle type information corresponding to each vehicle ID, and cargo allocation information corresponding to each vehicle ID.
5. The logistics node management information processing method of claim 3, wherein the transportation personnel information includes a personnel ID corresponding to each of the vehicle IDs.
6. A logistics node management information processing apparatus, comprising:
the processing module is used for acquiring goods storage information;
determining storage deadline data and transportation duration data according to the cargo storage information, and determining transportation time period information according to the storage deadline data and the transportation duration data;
and determining transportation plan information according to the transportation time period information and the cargo storage information.
7. An electronic device, comprising: a memory, a processor, and a transceiver;
the processor is used for being coupled with the memory, reading and executing the instructions in the memory to realize the method steps of any one of the claims 1-5;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
8. A computer-readable storage medium having stored thereon computer instructions which, when executed by a computer, cause the computer to perform the method of any of claims 1-5.
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| CN114386903A (en) * | 2022-01-04 | 2022-04-22 | 北京全路通信信号研究设计院集团有限公司 | Waybill management and control method and device, electronic equipment and storage medium |
| CN114386720A (en) * | 2022-03-22 | 2022-04-22 | 深圳市磅旗科技智能发展有限公司 | Logistics system scheduling management method, system, terminal equipment and storage medium |
| CN114493156A (en) * | 2021-12-30 | 2022-05-13 | 深圳云天励飞技术股份有限公司 | Logistics carrying method and device, electronic equipment and storage medium |
| CN115310916A (en) * | 2022-10-10 | 2022-11-08 | 深圳四通仓储物流有限公司 | Display method and display system for logistics supply chain state |
| CN116384853A (en) * | 2023-03-01 | 2023-07-04 | 湖北普罗格科技股份有限公司 | Digital twin intelligent logistics management method and device |
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