CN116433198A - Intelligent supply chain management platform system based on cloud computing - Google Patents

Intelligent supply chain management platform system based on cloud computing Download PDF

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CN116433198A
CN116433198A CN202310710660.8A CN202310710660A CN116433198A CN 116433198 A CN116433198 A CN 116433198A CN 202310710660 A CN202310710660 A CN 202310710660A CN 116433198 A CN116433198 A CN 116433198A
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center
data
logistics
purchasing
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周子勋
李维范
佟晓军
刘洋
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Beijing Longteng Weishidai Technology Information Co ltd
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Beijing Longteng Weishidai Technology Information Co ltd
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Abstract

The invention relates to the technical field of supply chains, and provides an intelligent supply chain management platform system based on cloud computing, which comprises the following components: the system comprises a purchasing center, a warehousing center, a goods supply center, a logistics center, a user center, a main data center and an API service. The invention builds a borderless inventory architecture to build a platform foundation, improves economic quality benefit and core competitiveness, reduces the workload of the business system for system transformation due to flow change, reduces system development and maintenance cost, improves system robustness, provides visual configuration, and can modify the approval flow by common operation and maintenance personnel as required.

Description

Intelligent supply chain management platform system based on cloud computing
Technical Field
The invention relates to the technical field of supply chains, in particular to an intelligent supply chain management platform system based on cloud computing.
Background
In recent years, the technologies such as Internet, big data, cloud computing, artificial intelligence, blockchain and the like accelerate innovation, are increasingly integrated into the whole process of developing all fields of economy and society, and the digital transformation strategic layout is accelerated in major countries and regions of the world.
Supply chain technology refers to the creation of intermediate products and end products around a core enterprise, starting with the mating parts, and finally delivering the products to the consumer by the sales network, linking the suppliers, manufacturers, distributors to the end user as an integral functional network chain. With the rapid development of electronic commerce, the enterprise operation management mode of the traditional manufacturing industry cannot meet the development requirement of the current electronic commerce, and the traditional manufacturing industry needs to finish the transformation and upgrading of the industry mode by means of an internet supply chain. Supply chain management is an integrated management concept and method that performs the functions of planning and controlling logistics from suppliers to end users in the supply chain, from an enterprise perspective, meaning that the enterprise integrates and optimizes information flows, logistics, and funds flows in the supply chain by improving the upstream and downstream supply chain relationships to achieve the competitive advantage of the enterprise. The existing internet supply chain system has the problems of obstacle in information interaction between upstream enterprises and downstream enterprises, high communication cost, low cooperative efficiency, high fund threshold of the supply chain system, high storage logistics cost and incapability of effectively integrating resources, and the enterprises have the problems of difficult sales, difficult purchase and difficult financing, so that the effective industrial transformation and efficiency improvement are difficult to realize.
Disclosure of Invention
The present invention has been made in view of the above problems, and it is an object of the present invention to provide a cloud computing-based intelligent supply chain management platform system that overcomes or at least partially solves the above problems.
The invention provides an intelligent supply chain management platform system based on cloud computing, which comprises:
the system comprises a purchasing center, a warehousing center, a goods supply center, a logistics center, a user center, a main data center and an API service.
In some optional embodiments, the purchasing center is used for purchasing management, factory interaction, purchasing early warning, warehouse-back management, report management, logistics interaction, purchasing execution, mailbox management, purchasing contract management, price management, short message management, supplier management, prepayment management, frame quantity early warning and purchasing data analysis.
In some alternative embodiments, the warehouse center is configured to pick up management, return to factory, serial code management, inventory management, warehouse management, address management, smart flow, report management, credential management, offset management, accounting management, router maintenance, inventory difference verification, inventory count management, and inventory difference management.
In some alternative embodiments, the inventory management includes: and controlling the in-out warehouse and updating the moving record of the warehouse.
In some alternative embodiments, the delivery center is used for sales management, shipping management, price management, customer management, sales contracts, after-sales management, point of sale management, auction management, channel management, distribution separation, credit management, order interception, order proposal, sales volume data visualization, and multidimensional integration.
In some alternative embodiments, the logistics center is used for logistics conveying, logistics delivery, report delivery, signing and checking, routing inquiry, bill tracking, cost accounting, logistics aging monitoring, carrier management and multi-logistics integration.
In some alternative embodiments, the user center is used for user management, menu management, resource management, rights object, post management, console, message management, download management, and approval stream management.
In some alternative embodiments, the primary data center is used for materials management, price data management, customer data management, warehouse data management, corporate data management, user data management, channel data management, warehouse address management, and vendor data management.
In some alternative embodiments, the API service is used for interface forwarding, asynchronous optional transmission, interface logging, and transmission verification.
According to the intelligent supply chain management platform system based on cloud computing, a borderless inventory architecture is built to build a platform foundation, economic quality benefits and core competitiveness are improved, workload of a business system for system transformation due to process change is reduced, system development and maintenance cost is reduced, system robustness is improved, visual configuration is provided, and common operation and maintenance personnel can modify approval processes as required.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 is a schematic diagram of an intelligent supply chain management platform system based on cloud computing according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a purchasing center flow interface according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of another purchasing center flow interface according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a business interface of a supply center according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a monitoring alarm assembly according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a cloud computing intelligent supply chain according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a modular microservice design according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It will be understood by those skilled in the art that all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs unless defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
FIG. 1 schematically illustrates a schematic diagram of a cloud computing-based intelligent supply chain management platform system in accordance with one embodiment of the present invention.
Referring to fig. 1, an intelligent supply chain management platform system based on cloud computing according to an embodiment of the present invention specifically includes:
the system comprises a purchasing center, a warehousing center, a goods supply center, a logistics center, a user center, a main data center and an API service.
In some optional embodiments, the purchasing center is used for purchasing management, factory interaction, purchasing early warning, warehouse-back management, report management, logistics interaction, purchasing execution, mailbox management, purchasing contract management, price management, short message management, supplier management, prepayment management, frame quantity early warning and purchasing data analysis.
In this embodiment, vendor management includes: inquiring bill information, and performing claim, tracking and business promotion operations;
purchase contract management, comprising: contract creation, contract approval, execution tracking and statistics of key nodes for contract signing, contract change and contract closing;
purchase execution, comprising: creating a purchase order, approving the purchase order/carrying out multi-level approval, intelligently acquiring key information, and intelligently interacting with external platform data integration;
in this embodiment, the workflow including the approval business has two approval flow solutions, the business field pushes, and the approval progress is followed by the preset state of the business form, for example, the order state is to be approved by the buyer- > to be approved by the purchase manager- > to be approved, the mode is too binding with the business forcibly, when a new approval link is needed, the business form field needs to be expanded to be compatible with the new business link, the business code and the database form are invasive, and the system crashes due to the introduction of the new code;
the problem of the design concept is large and the risk is high based on the promotion of the business field, and the common enterprises basically adopt an open source workflow engine, such as activiti, and the scheme can dynamically modify the business approval process without changing the business form, and the purchasing center process interface design diagram is shown in figure 2;
the purchasing center carries out secondary development of a self-built workflow based on an open source workflow engine activiti, designs a new operation flow based on bpnm.js again in addition to the function of the original dynamic change approval flow, is integrated with the existing system, abandons the regular expression of the original activiti workflow design page, modifies the regular expression into visual voice configuration, and can dynamically edit approval personnel by operation staff;
another purchasing center flow interface design is shown in fig. 3;
the self-built workflow has dynamic flow configuration, dynamic approval personnel configuration and multistage dynamic approval personnel configuration, so that the workload of the business system for system transformation due to flow change is reduced, the system development and maintenance cost is reduced, the system robustness is improved, and meanwhile, the visual configuration is provided, and common operation and maintenance personnel can modify the approval flow as required.
In some alternative embodiments, the warehouse center is configured to pick up management, return to factory, serial code management, inventory management, warehouse management, address management, smart flow, report management, credential management, offset management, accounting management, router maintenance, inventory difference verification, inventory count management, and inventory difference management.
In this embodiment, the warehouse center solves the problems of unsmooth flow of material sharing information and insufficient material sharing through material sharing rule setting and regular update of inventory data, realizes system solidification of sharing rules, improves transparency of material sharing information of each unit of an enterprise, simplifies approval process in execution process of internal sharing protocol, runs through purchasing execution link, realizes sufficient flow of material, improves inventory utilization rate, provides material sharing rule setting, updates shared inventory data regularly, improves transparency of material sharing information of each secondary unit, simplifies internal material sharing transfer process, and provides inventory utilization rate;
the allocation management carries the mutual goods allocation between the group factories and the factories, and the system business fusion is realized by combining the approval flows set by the system;
the string management includes: performing string code management on products needing string code management and control;
the serial code management uses serial codes as unique latitudes, the serial codes are in one-to-one correspondence with the real objects, and synchronous updating of serial code movement details is carried out on products to be managed and controlled according to inventory movement records of the products so as to achieve account balance, so that account balance is expressed on the side face;
the inventory management, comprising: managing and controlling the inventory of various organization levels, warehouse levels and business levels;
controlling, including: updating the stock warehouse-in record and the stock moving record;
the system angle forms a dedicated service for inventory management that is used by the cloud computing intelligent supply chain system to aggregate any inventory transaction scenarios.
Inventory management, comprising: and (3) creating an inventory list in the system by staff of the enterprise, supporting inventory requirements of the business from different angles of daily inventory, inventory drawing, inventory duplication and daily accounting by the factory, and forming a report from initiation to final account difference tracking.
In the embodiment, the warehouse center expands the distributed lightweight task scheduling framework XXLJob, so that the original function characteristics of dynamically modifying the timing task frequency and frequency can be realized, the processing of the slicing timing task is additionally expanded, the processing speed of the timing task for daily disk, monthly disk and daily account checking batch processing is improved, and the batch processing pressure of a single node of a server is reduced.
In some alternative embodiments, the inventory management includes: and controlling the in-out warehouse and updating the moving record of the warehouse.
In some alternative embodiments, the delivery center is used for sales management, shipping management, price management, customer management, sales contracts, after-sales management, point of sale management, auction management, channel management, distribution separation, credit management, order interception, order proposal, sales volume data visualization, and multidimensional integration.
In this embodiment, the supply center uses cloud computing and big data in combination with actual demand scenes of the service, and uses an intelligent analysis means to support the material sales and delivery and distribution related services of each sales channel of the enterprise, the sales services form a closed loop in the supply center, and meanwhile, related bill information can be supported to be displayed and analyzed in the intelligent supply chain management platform system, so that service personnel can conveniently control the related bill information in real time.
Shipping management, comprising: the method comprises the steps of ordering, approving, shipping and order state of enterprise clients and inquiring related report data;
channel management, comprising: providing clients with the demand of filling various materials, summarizing the demand of the goods, carrying out feasibility analysis on the data of the demand of the goods and giving out the recommended quantity;
the sales order information is automatically converted into sales orders, after the sales order information is collected by a goods supply center, personnel intervention and approval are carried out, the sales order information can be automatically converted into sales orders of all departments of each enterprise, and after approval by a manager, customers are shipped, so that automation of a goods supply flow is realized.
The goods supply center realizes the approval function of the sales order and the multiple delivery function of the order, and the order approval function comprises the following steps: order voiding, rejection, order status change, order information change, and order address change;
an order shipping function comprising: multiple shipments of orders, shipment withdrawal and shipment status changes;
automatic update of order status, comprising: after the order realizes delivery and logistics delivery, the order state is updated, so that the business is convenient to control the whole sales condition;
automatic divide goods and mend goods include: the goods supply center automatically calculates the goods distribution quantity of each channel according to the sales condition and the existing stock condition of each channel, and after approval of a product manager, the goods distribution quantity is automatically converted into a corresponding goods supply order;
automatic goods sorting includes: the enterprise distributes goods to each sales channel; the enterprise distributes goods to the internal channels; the distribution of enterprises to internal channels comprises: the enterprise is shipped to various factories and agents.
The external service platform of the supply center includes: the supply center opens a service platform for the clients, and can collect the supply requests of the class B clients, feed back the subsequent requests, one of the demand contacts of the large clients and stream guidance skip of the class C clients.
The supply center contains a large number of business requirements for butting with the three-party system and is oriented to the data synchronization requirements of the three-party system, the traditional method is that developers provide manual operation and maintenance functions, and when the situation of business processing failure occurs, the operation and maintenance personnel are required to perform manual operation, and the method faces two major problems: the service problem is not found timely, and manual compensation can be performed after the problem is found at the upstream and downstream each time, so that the service response speed is influenced; the operation and maintenance personnel are required to manually process, and the safety aspect can not be met to the greatest extent; the supply center is used for solving the problems, customizing a service automatic compensation scheme, automatically compensating for the condition of synchronization failure of the three-party data interface, and sending a short message, a mail and an in-station message to a set attendant to give an alarm after exceeding a set retry index.
The service compensation alarm module of the goods center utilizes two basic components of a message queue kafka+ service table record table, wherein service parameters, a three-party system docking mode, a service processing state, retry rules and alarm rules are recorded in the service record table; an alert rule comprising: alarming people and alarming modes;
all three-party interfacing services of the goods supply center are uniformly accessed to the compensation alarm module, for example, the goods supply center needs to push an order PO & ltx & gt 001 to a three-party system for delivery, after a user triggers delivery operation, a service bill number PO & ltx & gt 001 is inserted into a three-party service interfacing list, a service code is delivered, the state is to be sent, the retry number defaults to 3, and alarm information is taken from the three-party interfacing list of the configuration list. The program starts asynchronous sending information to kafka, the kafka sends the information to a shipping consumption queue for consumption based on service codes, if the consumption is successful, the three-party receipt status is modified to be successful, the sending failure is marked as the sending failure, meanwhile, the sending failure times are recorded, if the sending failure times exceed the default retry times, the program acquires alarm information, and an alarm module is called to alarm on operators on duty; if the number of failures does not reach the maximum number of alarm retries, the message is resent to the kafka queue for resending.
The service interface design diagram of the supply center is shown in fig. 4;
in some alternative embodiments, the logistics center is used for logistics conveying, logistics delivery, report delivery, signing and checking, routing inquiry, bill tracking, cost accounting, logistics aging monitoring, carrier management and multi-logistics integration.
In this embodiment, the logistics center, by using the logistics information query function, can accurately query the transportation condition and inventory information of the commodity at any time, and the main functions of the logistics information service management function are as follows: shortening the time from receiving an order to shipping; adapting the inventory; the transportation efficiency is improved; the order processing precision is improved; adjusting demand and supply, transportation management refers to management of the transportation process of products from the producer hand to the intermediate business hand to the consumer hand; including transportation mode selection, time and route determination, and cost savings.
The logistics center manages the transportation process of the order materials after corresponding orders are generated in a form of a supply center or purchase or allocation, for example, after customers of enterprises purchase goods and issue goods in order, the logistics center issues the goods to a factory-set logistics company in an integrated mode according to order materials, order delivery addresses, order quantity and delivery factory information, so that logistics delivery is realized, in order to meet the corresponding market of the orders, the logistics company needs to integrate detailed information of the actual delivery materials into an intelligent supply chain-logistics center after the logistics company has actually delivered the goods, and enterprise staff can inquire goods delivery details, goods delivery states and goods signing states according to the logistics delivery orders to achieve enterprise goods transportation closed loops.
The logistics center intelligently analyzes the distribution relation between the warehouse and the logistics company according to the matching relation between the factory and the logistics, the matching relation between the factory and the materials and the distribution relation between the customer order information based on the cloud computing data model, and realizes the final contribution to the multi-logistics management system model from which to deliver, what to deliver and what to deliver.
The logistics center realizes on-line management of logistics indexes by carrying out standard management and implementation on the index system data from top to bottom, and performs unified and standard management on various factors consisting of data sources, access apertures, calculation rules, time windows and reports of the indexes of the whole business links of logistics.
The rule engine based on java language is independently researched and developed to realize separation of logic and data, the data is stored in a system object, the logic is stored in a rule, the situation that the data and the logic are coupled in an object-oriented system is broken, the logic is stored in the rule, the logic is easier to maintain when the logic is changed in the future, the situation that the logic is scattered in codes before is replaced by concentrating the logic in one or a plurality of clear rule files, knowledge is concentrated, and a rule document library is built while a rule library is built.
Based on the model of the multi-logistics management system, a logistics center needs to send a message to inform relevant management staff of the progress of any link in the system model in real time and near real time.
The message can be a short message, an APP message and a PC station internal message;
the design diagram of the monitoring alarm assembly is shown in fig. 5;
the monitoring alarm component adopts an open source binlog increment subscription consumption component can to realize data change monitoring on the data change of the business table of the logistics center, the can transmits new and modified information of the business table to kafka, the intelligent supply chain self-developed monitoring alarm kafka consumers receive the information, and the related information is subjected to rule matching according to an independently developed rule engine, so that the rule matching is successful, and the related information queue carries out corresponding business processing.
The business table can be a logistics order table;
rules may be set in the rules engine, for example: when the order state of the logistics order form is changed to be returned by logistics, the business data are sent to a logistics order short message notification message queue for processing.
In some alternative embodiments, the user center is used for user management, menu management, resource management, rights object, post management, console, message management, download management, and approval stream management.
In some alternative embodiments, the primary data center is used for materials management, price data management, customer data management, warehouse data management, corporate data management, user data management, channel data management, warehouse address management, and vendor data management.
In the embodiment, price data management, artificial intelligence and big data are utilized, an intelligent analysis means is utilized in combination with actual demand scenes of the business, and price monitoring, price analysis, price early warning and price prediction are constructed; historical price reference prompts and market price fluctuation prediction prompts are provided for all key link nodes related to prices in business chains of enterprise supply chain business management from demand management, planning, mall management and client management end to end. The specific targets are as follows:
price data management, comprising: the construction is based on price data, supports business change and adjustment, achieves precipitation of enterprise data, forms core data assets, and achieves transverse pull-through of data between systems inside and outside an enterprise.
Customer data management, comprising: through the output of price data bazaar application, combine together with purchasing center, supply center and logistics center, improve purchasing efficiency, sales efficiency, delivery efficiency, optimize enterprise's purchasing cost, sales profit, delivery cost, reach the purpose that reduces the cost and increases efficiency to enterprise's purchase, supply, delivery.
Data management is a basic data that needs to be entered when an enterprise operating system, and the stored data base is hierarchically divided according to specific types of data, for example: (apple-apple mobile phone-apple 14 mobile phone), (apple-apple earphone 3 rd generation) (Hua is- -Hua is a computer- -a computer of a certain model) a set of system for comprehensively calling data when the system is in actual operation purchasing, warehousing and goods supply business links, the system has the advantages that the system is provided with corresponding data bases for customer data management, factory data management and user data management, the establishment of a data management system can help the system to realize efficient utilization of basic data, the system efficiency is improved, the research and development cost is reduced, and the system is an important ring of main data management concepts.
And the low-code visual large-screen assembly is independently researched and developed, so that the speed of developing and supporting price monitoring, price analysis, price early warning and price prediction business function reports is accelerated, and the user experience is improved.
In some alternative embodiments, the API service is used for interface forwarding, asynchronous optional transmission, interface logging, and transmission verification.
According to the intelligent supply chain management platform system based on cloud computing, a borderless inventory architecture is built to build a platform foundation, economic quality benefits and core competitiveness are improved, workload of a business system for system transformation due to process change is reduced, system development and maintenance cost is reduced, system robustness is improved, visual configuration is provided, and common operation and maintenance personnel can modify approval processes as required.
The intelligent supply chain system of cloud computing is constructed based on the following open source technical description:
distributed system suite version Spring Boot 2. X+spring cloud+ SpringCloud Alibaba: the Spring Boot framework is used for simplifying the process from building to developing of Spring applications.
The Spring Cloud is used as a micro-service framework of Java language, depends on Spring boot, and has the characteristics of quick development, continuous delivery, easy deployment and the like.
Spring Cloud Alibaba is directed to a one-stop solution for providing micro-service development, comprising the necessary components for developing distributed application micro-services, using the components to develop distributed application services through a Spring Cloud programming model, according to Spring Cloud Alibaba, the Spring Cloud application can be accessed into the ali micro-service solution with only the addition of notes and configurations, and the distributed application system can be quickly built through ali middleware.
Service governance registration and discovery Spring Cloud Alibaba Nacos:
the nano is a component in spring cloud alibaba ecology, and can register and discover centers, configuration centers and cap theory, and consistency (consistency) and availability (availability) in a distributed system, and partition fault tolerance (partition tolerance) can not be achieved.
C (consistency) the consistency, the same result returned by the same request instance at the same moment belongs to strong consistency, and in the cluster environment, the service information provided externally is completely consistent, and the efficiency is possibly lost;
a (availability) availability, the read-write requests of all instances can get correct response in a certain time, are weak consistency, and may not be consistent in the very short time, but the service is available and the final data are consistent;
p (Partition tolerance) partition fault tolerance, in the event of network anomalies, still able to provide normal responses, which must be guaranteed in micro-service systems; since P is a combination of CP and AP that must be guaranteed in a distributed service.
Declarative service call Spring Cloud OpenFeign:
feign is a declarative web service client that requires creating an interface and adding annotations to enable remote invocation of services.
When the service consumer remotely calls, the interface is written and the annotation is configured on the table, so that the interface of the service provider can be bound.
Feign integrates the Ribbon, and Feign uses the Ribbon to maintain a service provider list to implement a poll call service provider.
Service degradation, fusing and throttling alibaba/Sentinel:
sentinel is a management, i.e., bursty flow control, application that is not available downstream in real-time fusing, in a range where system capacity can be tolerated, message peak clipping and valley filling, cluster flow control. Sentinel provides real-time monitoring function at the same time, and can see the summarized running condition of single machine second-level data of access application, even clusters with the scale below 500.
Sentinel provides an integration module with other open source frameworks/libraries, such as integration with Spring Cloud, apache Dubbo, gRPC, quarkus. The corresponding dependence needs to be introduced and configured to access the Sentinel. While Sentinel provides a native implementation of Java/Go/c++ multilingual. The SPI expansion mechanism is provided with: sentinel provides an SPI expansion interface. Logic may be customized by implementing an expansion interface.
Data access layer mybayis mybays-plus:
mybatis is a semi-automatic ORM persistence layer framework, has SQL flexibility, and supports advanced mapping, dynamic SQL, delayed loading and caching;
advanced mapping, such as: one-to-one and one-to-many;
mybatis-plus is an enhancement tool based on Mybatis, only enhancement is unchanged on the basis of Mybatis.
Service load balancing Spring Cloud Netflix Ribbon:
ribbon is an inter-process communication library deployed at the calling end and tested in the cloud service project produced. Ribbon provides: client load balancing, fault tolerance processing, asynchronous communication supporting multiple protocols, HTTP, TCP, UDP protocol supporting, caching supporting and batch processing supporting; ribbon composition: the Ribbon multi-protocol asynchronous communication is based on RxJava implementation. In the Spring Cloud technology system, a fabric bears customer service side load balancing.
Service application monitoring Spring Cloud Admin/Prometheus:
springcloud admin is based on spring-boot-starter-actuator, and the data of actuator statistics are displayed, so that the instance running condition in the whole micro-service system can be monitored.
Prometaus is an open-source system monitoring and alarming system, and in a kubernetes container management system, the system is usually matched with the Prometaus for monitoring, meanwhile, a plurality of exporters are supported for collecting data, pushgateway is also supported for reporting data, and the Prometaus performance supports a cluster with a tens of thousands of scales.
Gateway routing proxy call Spring Cloud Gateway:
spring Cloud Gateway is a gateway framework, in a microservice system, the functions of the gateway include: route forwarding, rights verification and current limit control. Based on Spring 5, reactor and SpringBoot 2.0, matching routes, assertions and filters on any request attribute is route specific, hystrix breaker integration, springCloud DiscoveryClient integration, easy to write assertions and filters, request rate limiting, path rewriting.
Distributed transaction, seata:
seata is an open-source distributed transaction solution that is directed to providing high-performance and simple, easy-to-use distributed transaction services. The Seata will provide AT, TCC, SAGA and XA transaction modes for the user, creating a one-stop distributed solution for the user.
Service Security authentication, namely Spring Security:
at the heart of spring security is a set of filter chains that will automatically be configured after an item is started. At the very heart is Basic Authentication Filter used to authenticate the identity of the user, a filter in spring security handles one authentication mode.
Service invocation chain monitoring, skywalk:
by applying the performance management APM, it is possible to quickly locate the cause of a problem, such as Skywalking.
Unified log collection stores elk+filebean:
ELK Stack is a short for software set Elasticsearch, logstash and Kibana, and three software of Elasticsearch, logstash and Kibana and related components thereof can create a large-scale log real-time processing system;
the elastic search is a distributed storage and index engine which is based on Lucene and supports full text index, is responsible for indexing and storing logs, and is convenient for a service party to search and inquire;
the Logstar is a middleware for collecting, filtering and forwarding logs and is responsible for uniformly collecting and filtering various logs of each service line and forwarding the logs to an elastic search for next processing;
kibana is a visualization tool mainly responsible for querying the data of the elastic search and displaying the data to a business party in a visual mode, such as various pie charts, histograms and regional charts; filebean is a lightweight log collection tool, can be operated in a non-JAVA environment, is used on a non-JAVA server and is used for replacing Logflash to collect log information. Filebean has the same effect as logstar and can forward data to Logstash, redis or elastiscearch for direct processing.
Distributed task scheduling XXLJOB:
xxl-job is a distributed timed task scheduling framework, powerful, the bottom layer uses its own rpc framework for registration and management, the database uses mysql, and the scheduling trigger uses database locks as scheduling locks.
xxl-job is divided into a dispatching center admin and tasks, and after the tasks introduce a dependent jar packet and configure a bean with a startup class managed by spring, the tasks automatically select a port for registration by starting a thread through an initMethod provided by spring-bean and monitor task dispatching.
Full text search engine elastic search:
the elastiscearch belongs to Nosql, is a non-relational database, and the full text inspection/search Mysql for data does not have the capability of quickly searching massive data.
Library and table sharing supporting-JDBC:
the Shardng Sphere is a set of open-source distributed database middleware solution, and the Shardng-JDBC is one of the modules of the Shardingsphere, is a lightweight Java framework, provides additional services at the JDBC layer of Java, directly connects with a database by a client, provides services in jar package form, is an enhanced JDBC driver, and is fully compatible with the JDBC and various ORM frameworks. Sbarding-JDBC action: simplifying the corresponding operation of the data after the database is divided into tables.
The container management platform Rancher:
rancher is a complete software stack provided by a container that addresses the operational and security challenges of managing multiple Kubernetes clusters, while providing an integrated tool for running containerized workloads.
Cloud computing intelligent supply chain characteristics: the cloud computing, big data, internet and artificial intelligence technologies are taken as supporting points to comprehensively form five targets of technical facility cloud upscaling, full contact digital, core business online, operation data and supply chain intellectualization.
The cloud computing intelligent supply chain characteristic diagram is shown in fig. 6;
the service capacity is shared, different service scenes can be quickly multiplexed and supported by adopting a building block construction mode, the requirement iteration can be quickly realized, and the research and development cost is reduced.
The modular microservice design is shown in fig. 7;
interface design:
the traditional form filling is promoted to Internet guiding type operation, meanwhile, the training cost is relatively reduced, the guiding operation guide distinguishes the whole operation flow, the operation difficulty is reduced each time by gradual guiding, and the whole closed loop is decomposed into a granulating closed loop.
The information readable in the guiding type single link is light, multiple links are pieced together, and the process is managed until the flow is closed.
Business mobile page design:
the mobile office is realized, the service system moves up the mobile terminal, and the work efficiency is improved by greatly utilizing the fragmentation time.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, any of the claimed embodiments can be used in any combination.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (9)

1. An intelligent supply chain management platform system based on cloud computing, the system comprising: the system comprises a purchasing center, a warehousing center, a goods supply center, a logistics center, a user center, a main data center and an API service.
2. The system of claim 1, wherein the system further comprises a controller configured to control the controller,
the purchasing center is used for purchasing management, manufacturer interaction, purchasing early warning, warehouse-back management, report management, logistics interaction, purchasing execution, mailbox management, purchasing contract management, price management, short message management, supplier management, prepayment management, frame quantity early warning and purchasing data analysis.
3. The system of claim 1, wherein the system further comprises a controller configured to control the controller,
the warehouse center is used for picking management, factory return and reception, serial code management, inventory management, warehouse management, address management, intelligent logistics, report management, credential management, offset management, account checking management, router maintenance, inventory difference checking, inventory checking management and inventory difference checking management.
4. The system of claim 3, wherein the system further comprises a controller configured to control the controller,
the inventory management, comprising: and controlling the in-out warehouse and updating the moving record of the warehouse.
5. The system of claim 1, wherein the supply center is configured for sales management, shipping management, price management, customer management, sales contracts, after-sales management, point of sale management, auction management, channel management, distribution separation, credit management, order interception, order listing, sales data visualization, and multidimensional integration.
6. The system of claim 1, wherein the system further comprises a controller configured to control the controller,
the logistics center is used for logistics conveying, logistics delivery, report delivery, signing and checking, routing inquiry, bill tracking, cost accounting, logistics aging monitoring, carrier management and multi-logistics integration.
7. The system of claim 1, wherein the user center is configured for user management, menu management, resource management, rights object, post management, console, message management, download management, and approval stream management.
8. The system of claim 1, wherein the system further comprises a controller configured to control the controller,
the main data center is used for material management, price data management, customer data management, warehouse data management, company data management, user data management, channel data management, warehouse address management and provider data management.
9. The system of claim 1, wherein the system further comprises a controller configured to control the controller,
the API service is used for interface forwarding, asynchronous selective transmission, interface log and transmission verification.
CN202310710660.8A 2023-06-15 2023-06-15 Intelligent supply chain management platform system based on cloud computing Pending CN116433198A (en)

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