Logistics business data processing method and system, electronic equipment and storage medium

Abstract

The invention discloses a logistics business data processing method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining logistics business data from a plurality of data sources; the logistics business data is processed by utilizing a preset data middle platform to obtain a data processing result, the preset data middle platform comprises a display unit, a retrieval unit, a configuration unit and a middle platform system management unit, the display unit is used for displaying the logistics business data, the retrieval unit is used for retrieving the logistics business data, the configuration unit is used for configuring a data management strategy, and the middle platform system management unit is used for managing the logistics business data. And the middle station system management unit is used for managing user information in the preset data middle station. The technical problem that an existing logistics data processing method is not comprehensive enough in logistics data processing and cannot meet the requirement of a user for logistics data management is solved.

Description

Technical Field

[0001] The present invention belongs to the field of logistics technology, and specifically, relates to a logistics business data processing method, system, electronic equipment and storage medium. Background Art

[0002] At present, the logistics industry is developing rapidly, and the demand for the collection, storage, analysis, and display of logistics data is growing. The application of data processing technology helps to achieve the standardization, visualization, and real-time of logistics data, thereby achieving accurate prediction, efficient management, and refined operations of the logistics process, improving logistics efficiency, and reducing operating costs.

[0003] However, the existing logistics data processing methods are based on a chimney-style architecture, which makes it difficult to connect business processes, share data, and upgrade and iterate. As a result, the processing of logistics business data is not comprehensive enough and cannot meet users' requirements for logistics business data management. Summary of the invention

[0004] The embodiments of the present invention provide a logistics business data processing method, system, electronic device and storage medium to at least solve the technical problem that the existing logistics data processing method is not comprehensive enough in processing logistics data and cannot meet the user's requirements for logistics data management.

[0005] According to the first aspect of an embodiment of the present invention, a logistics business data processing method is provided, comprising: obtaining logistics business data from multiple data sources; using a preset data middle platform to process the logistics business data to obtain a data processing result, wherein the preset data middle platform comprises a display unit, a retrieval unit, a configuration unit and a middle platform system management unit, the display unit is used to display the logistics business data, the retrieval unit is used to retrieve the logistics business data, the configuration unit is used to configure the data management strategy, and the middle platform system management unit is used to manage the user information in the preset data middle platform.

[0006] Optionally, multiple data sources are online transaction processing databases.

[0007] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using a display unit to determine the weekly warehouse outbound timeliness rate, weekly shipment timeliness rate, warehouse saturation rate, weekly arrival timeliness rate, and in-transit route ranking based on the logistics business data; based on the display unit, the warehouse outbound timeliness rate, shipment timeliness rate, warehouse saturation rate, arrival timeliness rate, and in-transit route ranking are output to a display device.

[0008] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using a display unit to determine the current date's departure volume, the current date's in-transit volume, the current date's awaiting volume, the current date's transportation capacity demand, the current date's warehouse delivery timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate based on the logistics business data; based on the display unit, the current date's departure volume, the current date's in-transit volume, the current date's awaiting volume, the current date's transportation capacity demand, the current date's warehouse delivery timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate are output to a display device.

[0009] Optionally, a preset data middle platform is used to process logistics business data to obtain data processing results, including: using a retrieval unit to obtain a retrieval request, wherein the retrieval request includes retrieval conditions; responding to the retrieval request, and determining retrieval results based on the retrieval conditions, wherein the retrieval results include at least one of the following: transportation process retrieval results, vehicle type transportation process retrieval results, node tracking retrieval results, and warehouse transfer retrieval results.

[0010] Optionally, a preset data middle platform is used to process logistics business data to obtain data processing results, including: using a configuration unit to obtain a configuration request, wherein the configuration request includes configuration parameters; in response to the configuration request, according to the configuration parameters, warning values, data drive, data source access, dynamic diversion, and warehousing information are configured to obtain data processing results.

[0011] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using the middle platform system management unit to obtain a user information management request, wherein the user information management request includes a first management parameter; in response to the user information management request, the user list, role list, and department list in the preset data middle platform are managed according to the first management parameter to obtain data processing results.

[0012] Optionally, the logistics business data processing method also includes: using the middle-office system management unit to obtain a dictionary management request, wherein the dictionary management request includes a second management parameter; in response to the dictionary management request, managing the dictionary in the preset data middle-office according to the second management parameter to obtain a data processing result.

[0013] According to a second aspect of an embodiment of the present invention, a logistics business data processing system is further provided, including:

[0014] An acquisition module is used to acquire logistics business data from multiple data sources; a processing module is used to process the logistics business data using a preset data middle platform to obtain data processing results, wherein the preset data middle platform includes a display unit, a retrieval unit, a configuration unit and a middle platform system management unit. The display unit is used to display logistics business data, the retrieval unit is used to retrieve logistics business data, the configuration unit is used to configure data management strategies, and the middle platform system management unit is used to manage user information in the preset data middle platform.

[0015] Optionally, the processing module is also used to: utilize the display unit to determine the weekly warehouse delivery timeliness rate, weekly shipment timeliness rate, warehouse saturation rate, weekly arrival timeliness rate, and in-transit route ranking based on logistics business data; based on the display unit, output the warehouse delivery timeliness rate, shipment timeliness rate, warehouse saturation rate, arrival timeliness rate, and in-transit route ranking to the display device.

[0016] Optionally, the processing module is also used to: utilize the display unit to determine, based on the logistics business data, the current date's departure volume, the current date's in-transit volume, the current date's awaiting volume, the current date's transportation capacity demand, the current date's warehouse delivery timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate; based on the display unit, output the current date's departure volume, the current date's in-transit volume, the current date's awaiting volume, the current date's transportation capacity demand, the current date's warehouse delivery timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate to the display device.

[0017] Optionally, the processing unit is also used to: use the retrieval unit to obtain a retrieval request, wherein the retrieval request includes a retrieval condition; in response to the retrieval request, determine a retrieval result based on the retrieval condition, wherein the retrieval result includes at least one of the following: a transportation process retrieval result, a vehicle type transportation process retrieval result, a node tracking retrieval result, and a warehouse transfer retrieval result.

[0018] Optionally, the processing module is also used to: use the configuration unit to obtain a configuration request, wherein the configuration request includes configuration parameters; in response to the configuration request, configure the warning value, data drive, data source access, dynamic diversion and storage information according to the configuration parameters to obtain a data processing result.

[0019] Optionally, the processing module is also used to: utilize the middle platform system management unit to obtain a user information management request, wherein the user information management request includes a first management parameter; in response to the user information management request, manage the user list, role list, and department list in the preset data middle platform according to the first management parameter to obtain a data processing result.

[0020] Optionally, the processing module is also used to: utilize the middle station system management unit to obtain a dictionary management request, wherein the dictionary management request includes a second management parameter; in response to the dictionary management request, manage the dictionary in the preset data middle station according to the second management parameter to obtain a data processing result.

[0021] According to a third aspect of an embodiment of the present invention, there is also provided an electronic device, comprising a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the logistics business data processing method described in any embodiment of the first aspect above.

[0022] According to a fourth aspect of an embodiment of the present invention, a non-volatile storage medium is further provided, in which a computer program is stored, wherein the computer program is configured to execute the logistics business data processing method described in any embodiment of the first aspect when running on a computer or a processor.

[0023] According to a fifth aspect of an embodiment of the present invention, a computer program product is also provided, including a computer program, which, when executed by a processor, implements the logistics business data processing method described in any embodiment of the first aspect above.

[0024] In an embodiment of the present invention, logistics business data is obtained from multiple data sources; the logistics business data is processed using a preset data middle platform to obtain data processing results, wherein the preset data middle platform includes a display unit, a retrieval unit, a configuration unit and a middle platform system management unit, the display unit is used to display logistics business data, the retrieval unit is used to retrieve logistics business data, the configuration unit is used to configure data management strategies, and the middle platform system management unit is used to manage user information in the preset data middle platform. The present invention manages the acquired logistics business data using a preset data middle platform, thereby achieving integration, management and display of logistics business data, thereby solving the technical problem that the existing logistics data processing method is not comprehensive enough in processing logistics data and cannot meet the requirements of users for logistics data management. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0026] Figure 1 is a flow chart of a method for processing logistics business data according to one embodiment of the present invention;

[0027] Figure 2 It is a structural block diagram of a logistics business data processing system according to one embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] According to an embodiment of the present invention, an embodiment of a logistics business data processing method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system containing at least one 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 that shown here.

[0031] The method embodiment can also be executed in an electronic device including a memory and a processor, a similar control device or a cloud. Taking an electronic device as an example, the electronic device may include one or more processors and a memory for storing data. Optionally, the electronic device may also include a communication device and a display device for communication functions. It can be understood by those of ordinary skill in the art that the above structural description is only illustrative and does not limit the structure of the above electronic device. For example, the electronic device may also include more or fewer components than the above structural description, or have a configuration different from the above structural description.

[0032] The processor may include one or more processing units. For example, the processor may include a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP) chip, a microcontroller unit (MCU), a field-programmable gate array (FPGA), a neural network processor (NPU), a tensor processing unit (TPU), an artificial intelligence (AI) type processor, and the like. Among them, different processing units may be independent components or integrated into one or more processors. In some instances, the electronic device may also include one or more processors.

[0033] The memory can be used to store computer programs, such as storing a computer program corresponding to the logistics business data processing method in the embodiment of the present invention. The processor implements the above-mentioned logistics business data processing method by running the computer program stored in the memory. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include a memory remotely arranged relative to the processor, and these remote memories can be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0034] The communication device is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the communication device includes a network adapter (network interface controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the communication device can be a radio frequency (radio frequency, RF) module, which is used to communicate with the Internet wirelessly. In some embodiments of the present solution, the communication device is used to connect to mobile devices such as mobile phones and tablets, and instructions can be sent to electronic devices through the mobile device.

[0035] The display device may be a touch screen type liquid crystal display (LCD) and a touch display (also referred to as a "touch screen" or "touch display screen"). The liquid crystal display may enable a user to interact with a user interface of the electronic device. In some embodiments, the electronic device has a graphical user interface (GUI), and a user may interact with the GUI by touching a finger release and / or gestures on a touch-sensitive surface, and executable instructions for executing the above-mentioned human-computer interaction functions are configured / stored in a computer program product or a readable storage medium executable by one or more processors.

[0036] Figure 1 is a flow chart of a method for processing logistics business data according to one embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0037] Step S101, obtaining logistics business data from multiple data sources.

[0038] Step S102, use the preset data middle platform to process the logistics business data and obtain the data processing results, wherein the preset data middle platform includes a display unit, a retrieval unit, a configuration unit and a middle platform system management unit, the display unit is used to display the logistics business data, the retrieval unit is used to retrieve the logistics business data, the configuration unit is used to configure the data management strategy, and the middle platform system management unit is used to manage the user information in the preset data middle platform.

[0039] In an embodiment of the present invention, logistics business data is obtained from multiple data sources; the logistics business data is processed using a preset data middle platform to obtain data processing results, wherein the preset data middle platform includes a display unit, a retrieval unit, a configuration unit and a middle platform system management unit, the display unit is used to display logistics business data, the retrieval unit is used to retrieve logistics business data, the configuration unit is used to configure data management strategies, and the middle platform system management unit is used to manage user information in the preset data middle platform. The present invention manages the acquired logistics business data using a preset data middle platform, thereby achieving integration, management and display of logistics business data, thereby solving the technical problem that the existing logistics data processing method is not comprehensive enough in processing logistics data and cannot meet the requirements of users for logistics data management.

[0040] Optionally, multiple data sources are online transaction processing databases.

[0041] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using a display unit to determine the weekly warehouse outbound timeliness rate, weekly shipment timeliness rate, warehouse saturation rate, weekly arrival timeliness rate, and in-transit route ranking based on the logistics business data; based on the display unit, the warehouse outbound timeliness rate, shipment timeliness rate, warehouse saturation rate, arrival timeliness rate, and in-transit route ranking are output to a display device.

[0042] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using a display unit to determine the current date's departure volume, the current date's in-transit volume, the current date's awaiting volume, the current date's transportation capacity demand, the current date's warehouse delivery timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate based on the logistics business data; based on the display unit, the current date's departure volume, the current date's in-transit volume, the current date's awaiting volume, the current date's transportation capacity demand, the current date's warehouse delivery timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate are output to a display device.

[0043] Optionally, a preset data middle platform is used to process logistics business data to obtain data processing results, including: using a retrieval unit to obtain a retrieval request, wherein the retrieval request includes retrieval conditions; responding to the retrieval request, and determining retrieval results based on the retrieval conditions, wherein the retrieval results include at least one of the following: transportation process retrieval results, vehicle type transportation process retrieval results, node tracking retrieval results, and warehouse transfer retrieval results.

[0044] Optionally, a preset data middle platform is used to process logistics business data to obtain data processing results, including: using a configuration unit to obtain a configuration request, wherein the configuration request includes configuration parameters; in response to the configuration request, according to the configuration parameters, warning values, data drive, data source access, dynamic diversion, and warehousing information are configured to obtain data processing results.

[0045] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using the middle platform system management unit to obtain a user information management request, wherein the user information management request includes a first management parameter; in response to the user information management request, the user list, role list, and department list in the preset data middle platform are managed according to the first management parameter to obtain data processing results.

[0046] Optionally, the logistics business data processing method also includes: using the middle-office system management unit to obtain a dictionary management request, wherein the dictionary management request includes a second management parameter; in response to the dictionary management request, managing the dictionary in the preset data middle-office according to the second management parameter to obtain a data processing result.

[0047] Specifically, in some embodiments of the present invention, the specific preset data center implements the following contents:

[0048]

[0049]

[0050]

[0051] It should be noted that the in-transit route ranking is a ranking based on the number of waybills, and node tracking is the recording of the vehicle trajectory at each node and the time taken to execute the task. Warehouse transfer is to make predictions based on big data and ship goods to the terminal in advance, and warehouse transfer query is a query for this type of business. The warning value is the warning value set according to the high and low storage of the warehouse. Dynamic diversion is to dynamically adjust the allocation strategy according to the implementation of resource utilization. Warehouse information is information such as the high and low storage thresholds of the warehouse and the size of the warehouse.

[0052] It should be noted that the data middle platform is a combination of powerful technologies that brings a variety of applications and flexibility. The advantage of the present invention is that it can promote and provide feasible options, and intuitively display various types of data in various OLTP libraries through visualization. Each business operation system can provide information about a single business line, and all acquired data is summarized through various integrated systems. The data middle platform system will coordinate, clean, merge and display all data.

[0053] The data center can support the verification of business results through a wide range of application cases. The technology of the present invention has the ability to cross enterprise and personal use, which indicates that the data center system will continue to expand to various industries and expand its application and product portfolio.

[0054] The data middle platform supports multi-modal data access and storage capabilities. Each data source is transmitted to the data middle platform system through its own upper-level system. Multiple devices and multiple data are coordinated uniformly to provide users with high-quality decision support.

[0055] The present invention integrates data source construction docking capabilities, data modeling capabilities, and data indicator processing capabilities to build a unified capability platform. The platform has the characteristics of openness, sharing, and sustainable expansion, and layered decoupling. Businesses with different needs can retrieve the required core data on demand, and develop more agilely and quickly to meet the diverse applications of the industry.

[0056] After the data center completes the data collection and aggregation, it will process and visualize the data. The data visualization engine is composed of modules such as maps, visualization components, log reports, BI access, and automated server monitoring. The core capability engine can effectively extract and clean data in real time to better assist users in data management and application.

[0057] The development of the data center is based on the microservice architecture, which provides developers with general, service-oriented, and flexible development capabilities. As the connection hub between the perception layer and the application layer, it includes modules such as data access, full-node integration of vehicle logistics, data storage, data search and analysis, data cache scheduling, and provides API interface services. It supports the access of massive smart device data, supports the structured processing of uploaded images and video stream data, as well as data storage, billion-level search, and intelligent data processing capabilities.

[0058] From the perspective of user technology, the present invention can make up for the lack of core technical capabilities, save development resources, and quickly implement applications based on application requirements, combined with its own technical capabilities and middle-end capabilities. From the perspective of business requirements, due to the ever-changing market and increasing business needs, an open-capability system can help realize business sedimentation, reuse, and interactive collaboration between systems.

[0059] The present invention supports multiple terminal data access and compatibility: the accessible data sources include mainstream OLTP and NOSQL such as MySQL, Oracle, and MongoDB; including standard transmission protocols, open data transmission protocols, and integration of various enterprise buses such as mainstream KAFKA and RabbitMQ to transmit messages for unified consumption, and automatically divert and push to the downstream. The present invention is a high-concurrency, high-performance, distributed, multi-node architecture, which can flexibly expand computing nodes according to the increase in the number of access devices and services, avoid single failures, and improve fault detection, protection and recovery mechanisms.

[0060] The data middle platform can fully realize the access management of numerous data sources of the logistics business line, customize standardized equipment data caliber and services; integrate numerous subsystems of the logistics park through data, and display standardized application data and services to the outside world; provide data collection and coordinated display related capabilities, and realize data-driven intelligent management of the logistics park.

[0061] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), including a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0062] In this embodiment, a logistics business data processing system is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" is a combination of software and / or hardware that can implement a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0063] Figure 2 is a structural block diagram of a logistics business data processing system 200 according to one embodiment of the present invention. Figure 2 As shown, a logistics business data processing system 200 is used as an example, including: an acquisition module 201, used to acquire logistics business data from multiple data sources; a processing module 202, used to use a preset data middle platform to process the logistics business data to obtain data processing results, wherein the preset data middle platform includes a display unit, a retrieval unit, a configuration unit and a middle platform system management unit, the display unit is used to display the logistics business data, the retrieval unit is used to retrieve the logistics business data, the configuration unit is used to configure the data management strategy, and the middle platform system management unit is used to manage the user information in the preset data middle platform.

[0064] Optionally, the processing module 202 is also used to: utilize the display unit to determine the weekly warehouse delivery timeliness rate, weekly shipment timeliness rate, warehouse saturation rate, weekly arrival timeliness rate, and in-transit route ranking based on the logistics business data; based on the display unit, output the warehouse delivery timeliness rate, shipment timeliness rate, warehouse saturation rate, arrival timeliness rate, and in-transit route ranking to the display device.

[0065] Optionally, the processing module 202 is also used to: utilize the display unit to determine, based on the logistics business data, the current date's departure volume, the current date's in-transit volume, the current date's awaiting volume, the current date's transportation capacity demand, the current date's warehouse-out timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate; based on the display unit, the current date's departure volume, the current date's in-transit volume, the current date's awaiting volume, the current date's transportation capacity demand, the current date's warehouse-out timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate are output to a display device.

[0066] Optionally, the processing unit 202 is also used to: use the retrieval unit to obtain a retrieval request, wherein the retrieval request includes a retrieval condition; in response to the retrieval request, determine a retrieval result based on the retrieval condition, wherein the retrieval result includes at least one of the following: a transportation process retrieval result, a vehicle type transportation process retrieval result, a node tracking retrieval result, and a warehouse transfer retrieval result.

[0067] Optionally, the processing module 202 is also used to: use the configuration unit to obtain a configuration request, wherein the configuration request includes configuration parameters; in response to the configuration request, configure the warning value, data drive, data source access, dynamic diversion and storage information according to the configuration parameters to obtain a data processing result.

[0068] Optionally, the processing module 202 is also used to: utilize the middle platform system management unit to obtain a user information management request, wherein the user information management request includes a first management parameter; in response to the user information management request, manage the user list, role list, and department list in the preset data middle platform according to the first management parameter to obtain a data processing result.

[0069] Optionally, the processing module 202 is also used to: utilize the middle station system management unit to obtain a dictionary management request, wherein the dictionary management request includes a second management parameter; in response to the dictionary management request, manage the dictionary in the preset data middle station according to the second management parameter to obtain a data processing result.

[0070] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the logistics business data processing method described in any of the above embodiments.

[0071] Optionally, in this embodiment, the processor in the above electronic device may be configured to run a computer program to perform the following steps:

[0072] Step S101, obtaining logistics business data from multiple data sources.

[0073] Step S102, use the preset data middle platform to process the logistics business data and obtain the data processing results, wherein the preset data middle platform includes a display unit, a retrieval unit, a configuration unit and a middle platform system management unit, the display unit is used to display the logistics business data, the retrieval unit is used to retrieve the logistics business data, the configuration unit is used to configure the data management strategy, and the middle platform system management unit is used to manage the user information in the preset data middle platform.

[0074] Optionally, multiple data sources are online transaction processing databases.

[0075] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using a display unit to determine the weekly warehouse outbound timeliness rate, weekly shipment timeliness rate, warehouse saturation rate, weekly arrival timeliness rate, and in-transit route ranking based on the logistics business data; based on the display unit, the warehouse outbound timeliness rate, shipment timeliness rate, warehouse saturation rate, arrival timeliness rate, and in-transit route ranking are output to a display device.

[0076] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using a display unit to determine the current date's departure volume, the current date's in-transit volume, the current date's awaiting volume, the current date's transportation capacity demand, the current date's warehouse delivery timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate based on the logistics business data; based on the display unit, the current date's departure volume, the current date's in-transit volume, the current date's awaiting volume, the current date's transportation capacity demand, the current date's warehouse delivery timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate are output to a display device.

[0077] Optionally, a preset data middle platform is used to process logistics business data to obtain data processing results, including: using a retrieval unit to obtain a retrieval request, wherein the retrieval request includes retrieval conditions; responding to the retrieval request, and determining retrieval results based on the retrieval conditions, wherein the retrieval results include at least one of the following: transportation process retrieval results, vehicle type transportation process retrieval results, node tracking retrieval results, and warehouse transfer retrieval results.

[0078] Optionally, a preset data middle platform is used to process logistics business data to obtain data processing results, including: using a configuration unit to obtain a configuration request, wherein the configuration request includes configuration parameters; in response to the configuration request, according to the configuration parameters, warning values, data drive, data source access, dynamic diversion, and warehousing information are configured to obtain data processing results.

[0079] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using the middle platform system management unit to obtain a user information management request, wherein the user information management request includes a first management parameter; in response to the user information management request, the user list, role list, and department list in the preset data middle platform are managed according to the first management parameter to obtain data processing results.

[0080] Optionally, the logistics business data processing method also includes: using the middle-office system management unit to obtain a dictionary management request, wherein the dictionary management request includes a second management parameter; in response to the dictionary management request, managing the dictionary in the preset data middle-office according to the second management parameter to obtain a data processing result.

[0081] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0082] An embodiment of the present invention further provides a non-volatile storage medium, in which a computer program is stored, wherein the computer program is configured to execute the logistics business data processing method described in any of the above embodiments when running on a computer or a processor.

[0083] Optionally, in this embodiment, the above-mentioned computer program may be configured to store a computer program for performing the following steps:

[0084] Step S101, obtaining logistics business data from multiple data sources.

[0085] Step S102, use the preset data middle platform to process the logistics business data and obtain the data processing results, wherein the preset data middle platform includes a display unit, a retrieval unit, a configuration unit and a middle platform system management unit, the display unit is used to display the logistics business data, the retrieval unit is used to retrieve the logistics business data, the configuration unit is used to configure the data management strategy, and the middle platform system management unit is used to manage the user information in the preset data middle platform.

[0086] Optionally, multiple data sources are online transaction processing databases.

[0087] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using a display unit to determine the weekly warehouse outbound timeliness rate, weekly shipment timeliness rate, warehouse saturation rate, weekly arrival timeliness rate, and in-transit route ranking based on the logistics business data; based on the display unit, the warehouse outbound timeliness rate, shipment timeliness rate, warehouse saturation rate, arrival timeliness rate, and in-transit route ranking are output to a display device.

[0088] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using a display unit to determine the current date's departure volume, the current date's in-transit volume, the current date's awaiting volume, the current date's transportation capacity demand, the current date's warehouse delivery timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate based on the logistics business data; based on the display unit, the current date's departure volume, the current date's in-transit volume, the current date's awaiting volume, the current date's transportation capacity demand, the current date's warehouse delivery timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate are output to a display device.

[0089] Optionally, a preset data middle platform is used to process logistics business data to obtain data processing results, including: using a retrieval unit to obtain a retrieval request, wherein the retrieval request includes retrieval conditions; responding to the retrieval request, and determining retrieval results based on the retrieval conditions, wherein the retrieval results include at least one of the following: transportation process retrieval results, vehicle type transportation process retrieval results, node tracking retrieval results, and warehouse transfer retrieval results.

[0090] Optionally, a preset data middle platform is used to process logistics business data to obtain data processing results, including: using a configuration unit to obtain a configuration request, wherein the configuration request includes configuration parameters; in response to the configuration request, according to the configuration parameters, warning values, data drive, data source access, dynamic diversion, and warehousing information are configured to obtain data processing results.

[0091] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using the middle platform system management unit to obtain a user information management request, wherein the user information management request includes a first management parameter; in response to the user information management request, the user list, role list, and department list in the preset data middle platform are managed according to the first management parameter to obtain data processing results.

[0092] Optionally, the logistics business data processing method also includes: using the middle-office system management unit to obtain a dictionary management request, wherein the dictionary management request includes a second management parameter; in response to the dictionary management request, managing the dictionary in the preset data middle-office according to the second management parameter to obtain a data processing result.

[0093] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0094] An embodiment of the present invention further provides a computer program product, including a computer program, which implements the logistics business data processing method described in any of the above embodiments when executed by a processor.

[0095] Optionally, in this embodiment, the above computer program implements the following steps when executed by a processor:

[0096] Step S101, obtaining logistics business data from multiple data sources.

[0097] Step S102, use the preset data middle platform to process the logistics business data and obtain the data processing results, wherein the preset data middle platform includes a display unit, a retrieval unit, a configuration unit and a middle platform system management unit, the display unit is used to display the logistics business data, the retrieval unit is used to retrieve the logistics business data, the configuration unit is used to configure the data management strategy, and the middle platform system management unit is used to manage the user information in the preset data middle platform.

[0098] Optionally, multiple data sources are online transaction processing databases.

[0099] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using a display unit to determine the weekly warehouse outbound timeliness rate, weekly shipment timeliness rate, warehouse saturation rate, weekly arrival timeliness rate, and in-transit route ranking based on the logistics business data; based on the display unit, the warehouse outbound timeliness rate, shipment timeliness rate, warehouse saturation rate, arrival timeliness rate, and in-transit route ranking are output to a display device.

[0100] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using a display unit to determine the current date's departure volume, the current date's in-transit volume, the current date's awaiting volume, the current date's transportation capacity demand, the current date's warehouse delivery timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate based on the logistics business data; based on the display unit, the current date's departure volume, the current date's in-transit volume, the current date's awaiting volume, the current date's transportation capacity demand, the current date's warehouse delivery timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate are output to a display device.

[0101] Optionally, a preset data middle platform is used to process logistics business data to obtain data processing results, including: using a retrieval unit to obtain a retrieval request, wherein the retrieval request includes retrieval conditions; responding to the retrieval request, and determining retrieval results based on the retrieval conditions, wherein the retrieval results include at least one of the following: transportation process retrieval results, vehicle type transportation process retrieval results, node tracking retrieval results, and warehouse transfer retrieval results.

[0102] Optionally, a preset data middle platform is used to process logistics business data to obtain data processing results, including: using a configuration unit to obtain a configuration request, wherein the configuration request includes configuration parameters; in response to the configuration request, according to the configuration parameters, warning values, data drive, data source access, dynamic diversion, and warehousing information are configured to obtain data processing results.

[0103] Optionally, the logistics business data is processed using a preset data middle platform to obtain data processing results, including: using the middle platform system management unit to obtain a user information management request, wherein the user information management request includes a first management parameter; in response to the user information management request, the user list, role list, and department list in the preset data middle platform are managed according to the first management parameter to obtain data processing results.

[0104] Optionally, the logistics business data processing method also includes: using the middle-office system management unit to obtain a dictionary management request, wherein the dictionary management request includes a second management parameter; in response to the dictionary management request, managing the dictionary in the preset data middle-office according to the second management parameter to obtain a data processing result.

[0105] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0106] In some embodiments provided in the present application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the modules can be a logical function division. There may be other division methods in actual implementation. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, modules or indirect coupling or communication connection of modules, which can be electrical or other forms.

[0107] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0108] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of software functional modules.

[0109] If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0110] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for processing logistics business data, characterized in that: include: Obtain logistics business data from multiple data sources; The logistics business data is processed using a preset data middle platform to obtain data processing results, wherein the preset data middle platform includes a display unit, a retrieval unit, a configuration unit and a middle platform system management unit, the display unit is used to display the logistics business data, the retrieval unit is used to retrieve the logistics business data, the configuration unit is used to configure data management strategies, and the middle platform system management unit is used to manage user information in the preset data middle platform.

2. The method for processing logistics business data according to claim 1, characterized in that: The multiple data sources are online transaction process databases.

3. The method for processing logistics business data according to claim 1, characterized in that: The logistics business data is processed by using the preset data middle platform to obtain data processing results, including: Using the display unit, according to the logistics business data, determine the weekly warehouse delivery timeliness rate, weekly shipment timeliness rate, warehouse saturation rate, weekly arrival timeliness rate, and in-transit route ranking; Based on the display unit, the outbound delivery timeliness rate, the shipment timeliness rate, the warehouse saturation rate, the arrival timeliness rate, and the in-transit route ranking are output to a display device.

4. The method for processing logistics business data according to claim 1, characterized in that: The logistics business data is processed by using the preset data middle platform to obtain data processing results, including: Utilizing the display unit, according to the logistics business data, determine the current date's departure volume, the current date's in-transit volume, the current date's waiting volume, the current date's transportation capacity demand, the current date's outbound timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate; Based on the display unit, the current date's departure volume, the current date's in-transit volume, the current date's waiting volume, the current date's transportation capacity demand, the current date's warehouse delivery timeliness rate, the current date's departure timeliness rate, and the current date's arrival timeliness rate are output to the display device.

5. The method for processing logistics business data according to claim 1, characterized in that: The logistics business data is processed by using the preset data middle platform to obtain data processing results, including: Using the retrieval unit, obtaining a retrieval request, wherein the retrieval request includes a retrieval condition; In response to the search request, a search result is determined according to the search conditions, wherein the search result includes at least one of the following: a transportation process search result, a vehicle type transportation process search result, a node tracking search result, and a warehouse transfer search result.

6. The method for processing logistics business data according to claim 1, characterized in that: The logistics business data is processed using the preset data middle platform to obtain data processing results, including: Using the configuration unit, obtaining a configuration request, wherein the configuration request includes configuration parameters; In response to the configuration request, the warning value, data drive, data source access, dynamic diversion and storage information are configured according to the configuration parameters to obtain the data processing result.

7. The method for processing logistics business data according to claim 1, characterized in that: The logistics business data is processed by using the preset data middle platform to obtain data processing results, including: Using the middle station system management unit, obtaining a user information management request, wherein the user information management request includes a first management parameter; In response to the user information management request, the user list, role list, and department list in the preset data center are managed according to the first management parameter to obtain the data processing result.

8. The method for processing logistics business data according to claim 1, characterized in that: Also includes: Using the middle station system management unit, obtaining a dictionary management request, wherein the dictionary management request includes a second management parameter; In response to the dictionary management request, the dictionary in the preset data center is managed according to the second management parameter to obtain the data processing result.

9. A logistics business data processing system, characterized in that: include: The acquisition module is used to obtain logistics business data from multiple data sources; A processing module is used to process the logistics business data using a preset data middle platform to obtain data processing results, wherein the preset data middle platform includes a display unit, a retrieval unit, a configuration unit and a middle platform system management unit, the display unit is used to display the logistics business data, the retrieval unit is used to retrieve the logistics business data, the configuration unit is used to configure data management strategies, and the middle platform system management unit is used to manage user information in the preset data middle platform.

10. An electronic device comprising a memory and a processor, characterized in that: The memory stores a computer program, and the processor is configured to run the computer program to execute the logistics business data processing method described in any one of claims 1 to 8 above.

11. A non-volatile storage medium, characterized in that: The non-volatile storage medium stores a computer program, wherein the computer program is configured to execute the logistics business data processing method described in any one of claims 1 to 8 when running on a computer or a processor.

12. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, implements the logistics business data processing method according to any one of claims 1 to 8.

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