CN113177829B - Intelligent electronic commerce online management system and method thereof - Google Patents
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Abstract
The invention relates to an intelligent electronic commerce online management system and method, wherein the intelligent electronic commerce online management system comprises a comprehensive management server based on big data, a cloud storage platform, a PC (personal computer) control terminal, an APP control terminal and a communication network, the comprehensive management server based on the big data is respectively in data connection with the cloud storage platform, the PC control terminal and the APP control terminal through the communication network, the PC control terminal and the APP control terminal are respectively provided with a plurality of terminals, and the PC control terminal and the APP control terminal are mutually mixed and connected through the communication network to form a plurality of electronic commerce transaction local area networks. The invention can comprehensively realize the comprehensive monitoring of the sales conditions of personnel, commodities and commodities participating in the electronic commerce, and can timely carry out early warning on abnormal conditions and carry out prejudgment on the electronic commerce work based on the current data, thereby greatly improving the accuracy and the reliability of the electronic commerce work management.
Description
Technical Field
The invention relates to an intelligent electronic commerce online management system and a method thereof, belonging to the technical field of electronic commerce.
Background
With the popularization and popularization of electronic commerce, in order to improve the operation efficiency of an electronic commerce platform, standardize operation behaviors and the like, various electronic commerce platform management systems are currently developed, for example, the patent publication number is CN110930228A, the publication date is 20200327, the patent application number is 2019111774954, and the patent name is an electronic commerce platform management method; although the system or technology such as the system and the system of the e-commerce management method and system with the patent publication number of CN107153934A, the publication number of 20190912, the patent application number of 2016101255280 and the patent name of the e-commerce management method and system meets the requirement of the e-commerce platform management operation to a certain extent, in the actual work, it is found that, in the operation of the current e-commerce platform system, on one hand, the data processing capability is relatively poor in different degrees, and a large hardware device resource is often occupied for improving the data processing capability, so that the system has a complex structure, high construction and operation management and maintenance costs, and the networking online operation capability and the system flexible expansion capability of the current e-commerce management system are also severely limited; on the other hand, the data supervision of the electronic commerce platform is strong in one-sidedness in different degrees, efficient and accurate supervision on all links of the electronic commerce platform cannot be comprehensively carried out, and effective prejudgment on the operation work of the electronic commerce system cannot be carried out, so that a large leak still exists in the electronic commerce operation, goods fleeing, goods losing and insufficient stock are caused, the phenomenon of goods overstock occurs, and the flexibility, the safety and the reliability of the electronic commerce system operation are seriously influenced.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides an intelligent electronic commerce online management system and a method thereof, which can comprehensively realize the comprehensive monitoring of the sales conditions of personnel, commodities and commodities participating in electronic commerce, and can timely perform early warning on abnormal conditions and perform prejudgment on electronic commerce work based on current data, thereby greatly improving the accuracy and reliability of electronic commerce work management.
The utility model provides an intelligent electronic commerce online management system, intelligent electronic commerce online management system include the comprehensive management server based on big data, cloud storage platform, PC control terminal, APP control terminal and communication network, the comprehensive management server based on big data passes through communication network and controls terminal, APP control terminal with cloud storage platform, PC respectively and establish data connection, PC control terminal, APP control terminal are all a plurality of, and each PC controls terminal, APP and controls and control terminal and through the mutual thoughtlessly link to each other and constitute a plurality of electronic commerce transaction LAN between terminal, APP.
Preferably, the comprehensive management server based on big data is internally provided with a bottom layer processing program layer based on cloud computing, an information input and output layer based on a control interface, a data scheduling layer based on a flash scheduler and a data storage layer of a distributed data storage, the data storage layer of the distributed data storage is further connected with the cloud storage platform through a communication network, when the data scheduling layer based on the flash scheduler runs, data from the bottom layer processing program layer data based on the cloud computing, the information input and output layer based on the control interface, the data storage layer of the data distributed data storage and the cloud storage platform are processed and run in the form of mapping files in the data scheduling layer based on the flash scheduler, the data processing is satisfied, and meanwhile, data damage and loss caused by system abnormity are prevented, and the stability and reliability of the operation of the electronic commerce system are improved.
Preferably, a stack subprogram, a priority computing subprogram, and a trust meter subprogram are additionally arranged in the bottom layer processing program layer based on cloud computing, wherein the trust meter subprogram includes same-domain trust computation and cross-domain trust computation, and the trust meter subprogram computation result simultaneously generates synchronous mapping data in the priority computing subprogram and the bottom layer processing program based on cloud computing.
Preferably, the flume-based scheduler adopts a flume + Quartz job scheduling framework and a single-channel multi-sink thread operation mode, wherein a data scheduling layer based on the flume scheduler realizes data comprehensive scheduling management on bottom layer processing program layer data based on cloud computing, an information input and output layer based on a control interface, a data storage layer of a data distributed data storage and cloud storage platform data which are arranged in a large data-based comprehensive management server, improves data processing efficiency, reduces CPU operation burden, reduces the occupancy rate of an electronic commerce system to hardware resources, and assists in reducing the operation and maintenance cost of the electronic commerce system.
Preferably, the comprehensive management server based on big data is additionally provided with at least one transaction interaction management server, a communication protocol management server and a firewall certificate server, the comprehensive management server based on big data is respectively connected with the transaction interaction management server and the communication protocol management server through the firewall certificate server, and the transaction interaction management server and the communication protocol management server are respectively connected with the cloud storage platform, the PC control terminal and the APP control terminal through the firewall certificate server.
A management system of an intelligent electronic commerce online management system comprises the following steps:
s1, system assembly, namely, firstly, constructing at least one comprehensive management server based on big data on an e-commerce transaction provider, then, on one hand, providing a cloud storage platform storage service for the comprehensive management server based on the big data by a third-party service platform, and on the other hand, respectively configuring corresponding PC control terminals and APP control terminals for a management layer, a merchant layer and a warehouse layer which currently participate in the e-commerce system, and finally, allocating independent data communication addresses for the cloud storage platform, the PC control terminals and the APP control terminals by the comprehensive management server based on the big data, and pushing e-commerce operation terminal programs for the PC control terminals and the APP control terminals to complete system configuration;
s2, system management configuration, after S1 is completed, management layer workers count according to workers participating in electronic commerce transactions, commodity information and logistics information, and store the statistics in a comprehensive management server based on big data in a classified manner, meanwhile, an electronic commerce control interface and an electronic commerce data mapping file list are generated in the comprehensive management server based on the big data according to the input related information, and the electronic commerce control interface is pushed to a PC control terminal and an APP control terminal to serve as a control interface of a business operation terminal program;
and S3, E-commerce transaction management, wherein the E-commerce activities can be carried out after the step S2 is completed, and the E-commerce activities are specifically not a personnel layer, a commodity layer, a logistics layer and an information feedback layer in the E-commerce management work.
S4, expanding the system, in the electronic business work, for the PC control terminal and APP control terminal which are newly added into the electronic business, firstly sending a registration request to the comprehensive management server based on big data, after the identity identification and authentication are completed through the comprehensive management server based on big data, then distributing independent data communication addresses for the PC control terminal and APP control terminal which are newly added into the electronic business by the comprehensive management server based on big data, and then returning to the S1 step to carry out electronic business transaction;
s5, for the PC control terminal and APP control terminal quitting the electronic business transaction system, firstly sending quit request to the integrated management server based on big data, sending registration request to retrieve the electronic business transaction related to the PC control terminal and APP control terminal to be quitted, and after finishing all electronic business activities and related services, directly deleting the data communication addresses of the current PC control terminal and APP control terminal by the integrated management server based on big data, and deleting the identity identification information after keeping the identity identification information for at least 1 month, thus finishing quitting of the PC control terminal and APP control terminal.
A personnel layer: uniformly managing and identifying the identity identification information of electronic commerce platform management staff, electronic commerce merchant staff and electronic commerce transaction party staff participating in the electronic commerce activities, and acquiring and identifying merchant information;
a commodity layer: collecting commodity information, commodity transaction amount information and commodity transaction abnormal information which participate in electronic commerce transaction;
and (3) logistics layer: on one hand, the warehouses and inventory commodities recorded in the step S2 are counted, and the shipment quantity and the inventory quantity of each commodity are counted; on the other hand, the personnel layer and the commodity layer data are combined to monitor and collect commodity logistics channels, logistics time information and commodity states in the logistics process;
an information feedback layer: unified operational analysis is comprehensively carried out on data of a personnel layer, a commodity layer and a logistics layer, on one hand, personnel attendance, transaction amount, transaction success rate and transaction commodity selection tendency are obtained for analysis, and marking and early warning are carried out on personnel with abnormal working behaviors; on the other hand, the commodity receiving and dispatching efficiency, commodity transaction and transportation channels, commodity quality and after-sale data in transaction activities are counted, the commodities with low transaction success rate are marked and early warned, the commodities with large transaction amount and insufficient inventory are marked and early warned, finally, management loopholes, hidden dangers and commodity sales service activities existing in the operation of an electronic commerce platform are simulated and analyzed, and at least two electronic commerce activity management plans in 7-60 days in the future are made.
Preferably, in the step S3, the commodity transaction abnormal information includes poor commodity quality, commodity loss, damage in commodity circulation, insufficient commodity supply quantity, high commodity return rate, and commodity fleeing; the working behavior abnormity comprises late arrival, early return, identity use and channel conflict.
On one hand, the invention has simple system structure, flexible and convenient networking operation, high system operation efficiency and low requirement on system hardware, and simultaneously has flexible and convenient networking operation and system expansion operation, and good data processing safety and reliability; the invention firstly sends an exit request to a comprehensive management server based on big data, the comprehensive management server based on big data sends a registration request to search the electronic commerce transaction activities related to the PC control terminal and the APP control terminal to be exited at present, and after all electronic commerce activities and related clothes are completed, the comprehensive management server based on big data directly deletes the data communication addresses of the PC control terminal and the APP control terminal at present, and deletes the identity identification information after the identity identification information is reserved for at least 1 month, thereby comprehensively monitoring the sales conditions of personnel, commodities and commodities participating in the electronic commerce, early warning the abnormal conditions in time and pre-judging the electronic commerce work based on the current data, and greatly improving the accuracy and reliability of the electronic commerce work management.
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The invention is described in detail below with reference to the drawings and the detailed description;
FIG. 1 is a schematic diagram of the system of the present invention;
fig. 2 is a schematic diagram of a data connection relationship of a data system of a comprehensive management server based on big data.
The reference numbers in the figures: the system comprises a large data-based comprehensive management server 1, a cloud storage platform 2, a PC control terminal 3, an APP control terminal 4 and a communication network 5.
Detailed Description
In order to facilitate the implementation of the technical means, creation features, achievement of the purpose and the efficacy of the invention, the invention is further described below with reference to specific embodiments.
As shown in fig. 1, an intelligent electronic commerce online management system, including comprehensive management server 1 based on big data, cloud storage platform 2, PC control terminal 3, APP control terminal 4 and communication network 5, comprehensive management server 1 based on big data passes through communication network 5 and establishes data connection with cloud storage platform 2, PC control terminal 3, APP control terminal 4 respectively, PC control terminal 3, APP control terminal 4 are all a plurality of, and each PC control terminal 3, APP control terminal 4 and control terminal 3, APP and control terminal 4 and control through communication network 5 each other the thoughtlessly link to each other and constitute a plurality of electronic commerce transaction local area networks.
As shown in fig. 2, the comprehensive management server 1 based on big data is internally provided with a bottom layer processing program layer based on cloud computing, an information input and output layer based on a control interface, a data scheduling layer based on a flash scheduler and a data storage layer of a distributed data storage, the data storage layer of the distributed data storage is further connected with the cloud storage platform 2 through a communication network 5, when the data scheduling layer based on the flash scheduler runs, data from the bottom layer processing program layer data based on the cloud computing, the information input and output layer based on the control interface, the data storage layer of the data distributed data storage and the cloud storage platform 2 are processed and run in the form of a mapping file in the data scheduling layer based on the flash scheduler, the data processing is satisfied, and meanwhile, data damage and loss caused by system abnormity are prevented, and the stability and reliability of the operation of the electronic commerce system are improved. At least one transaction interaction management server, a communication protocol management server and a firewall certificate server are additionally arranged under the comprehensive management server 1 based on big data, the comprehensive management server 1 based on big data is respectively connected with the transaction interaction management server and the communication protocol management server through the firewall certificate server, and the transaction interaction management server and the communication protocol management server are respectively connected with the cloud storage platform 2, the PC control terminal 3 and the APP control terminal 4 through the firewall certificate server. When the flash dispatcher runs, the flash is used for reading the log file, and the interceptor is used for performing information aggregation on the content of the log file and then storing the aggregated content into es. In the process, the problem of data loss caused by unexpected reasons exists, so that a part of redundant information in the flash interceptor is accumulated, in order to eliminate the defect, a Quartz timing task frame is constructed, whether data accumulation exists in the interceptor is judged at regular time through the timing task, and the accumulated data is deleted. In the specific operation, firstly, defining a MyScheduler class; then define the SnapJob class, CoverJob class is the same.
Meanwhile, it is sufficient that the data is directly stored in the Caffeine cache without using a timing task, and the persistence time of the data in the cache can be set by using expireAfterWrite. The bottom layer processing program layer based on the cloud computing is additionally provided with a stack subprogram, a priority computing subprogram and a trust meter subprogram, wherein the trust meter subprogram comprises same-domain trust computing and cross-domain trust computing, and the computing result of the trust meter subprogram generates synchronous mapping data in the priority computing subprogram and the bottom layer processing program based on the cloud computing. In this embodiment, a flume + Quartz job scheduling framework is adopted based on the flume scheduler, and a single-channel multi-sink thread operation mode is adopted, wherein a data scheduling layer based on the flume scheduler is used for providing data comprehensive scheduling management for data of a bottom processing program layer based on cloud computing, an information input and output layer based on a control interface, a data storage layer of a data distributed data storage and data of a cloud storage platform 2 which are arranged in the comprehensive management server 1 based on big data, so that the data processing efficiency is improved, the operation load of a CPU is reduced, the occupancy rate of an electronic commerce system to hardware resources is reduced, and the purposes of reducing the operation and maintenance costs of the electronic commerce system are achieved in an auxiliary manner.
The invention discloses a management method of an intelligent electronic commerce online management system, which comprises the following steps:
s1, system assembly, namely, firstly, constructing at least one comprehensive management server 1 based on big data on an e-commerce transaction provider, then, on one hand, providing a cloud storage platform 2 storage service for the comprehensive management server 1 based on the big data by a third-party service platform, on the other hand, respectively configuring corresponding PC control terminals 3 and APP control terminals 4 for a management layer, a merchant layer and a warehouse layer which currently participate in the e-commerce system, and finally, allocating independent data communication addresses for the cloud storage platform 2, the PC control terminals 3 and the APP control terminals 4 by the comprehensive management server 1 based on the big data, and pushing e-commerce operation terminal programs for the PC control terminals 3 and the APP control terminals 4, so that system configuration can be completed;
s2, system management configuration, after S1 is completed, management layer workers count according to workers participating in electronic commerce transactions, commodity information and logistics information, and store the statistics in the comprehensive management server 1 based on big data in a classified manner, meanwhile, an electronic commerce control interface and an electronic commerce data mapping file list are generated in the comprehensive management server 1 based on big data according to the input related information, and the electronic commerce control interface is pushed to the PC control terminal 3 and the APP control terminal 4 to serve as a control interface of a business operation terminal program;
s3, E-commerce transaction management, wherein the E-commerce activities can be carried out after the step S2 is completed, and the E-commerce management work specifically comprises a non-personnel layer, a commodity layer, a logistics layer and an information feedback layer, wherein the non-personnel layer, the commodity layer, the logistics layer and the information feedback layer
A personnel layer: uniformly managing and identifying the identity identification information of electronic commerce platform management staff, electronic commerce merchant staff and electronic commerce transaction party staff participating in the electronic commerce activities, and acquiring and identifying merchant information;
a commodity layer: collecting commodity information, commodity transaction amount information and commodity transaction abnormal information which participate in electronic commerce transaction;
and (3) logistics layer: on one hand, the warehouses and inventory commodities recorded in the step S2 are counted, and the shipment quantity and the inventory quantity of each commodity are counted; on the other hand, the personnel layer and the commodity layer data are combined to monitor and collect commodity logistics channels, logistics time information and commodity states in the logistics process;
an information feedback layer: unified operational analysis is comprehensively carried out on data of a personnel layer, a commodity layer and a logistics layer, on one hand, personnel attendance, transaction amount, transaction success rate and transaction commodity selection tendency are obtained for analysis, and marking and early warning are carried out on personnel with abnormal working behaviors; on the other hand, the commodity receiving and dispatching efficiency, commodity transaction and transportation channels, commodity quality and after-sale data in transaction activities are counted, the commodities with low transaction success rate are marked and early warned, the commodities with large transaction amount and insufficient inventory are marked and early warned, finally, management loopholes, hidden dangers and commodity sales service activities existing in the operation of an electronic commerce platform are simulated and analyzed, and at least two electronic commerce activity management plans in 7-60 days in the future are made.
S4, expanding the system, in the electronic business work, for the PC control terminal 3 and APP control terminal 4 which are newly added into the electronic business, firstly sending a registration request to the comprehensive management server 1 based on big data, after the identity identification authentication is completed through the comprehensive management server 1 based on big data, then distributing independent data communication addresses for the PC control terminal 3 and APP control terminal 4 which are newly added into the electronic business by the comprehensive management server 1 based on big data, and then returning to the S1 step to carry out electronic business transaction;
s5, for the PC control terminal 3 and APP control terminal 4 quitting the electronic business transaction system, firstly sending quit request to the integrated management server 1 based on big data, the integrated management server 1 based on big data sends registration request to search the electronic business transaction activities related to the PC control terminal 3 and APP control terminal 4 to be quitted, and after finishing all electronic business activities and related clothes, the integrated management server 1 based on big data directly deletes the data communication addresses of the current PC control terminal 3 and APP control terminal 4, and deletes the identification information after keeping the identification information for at least 1 month, thus finishing quitting of the PC control terminal 3 and APP control terminal 4.
Preferably, in the step S3, the commodity transaction abnormal information includes poor commodity quality, commodity loss, damage in commodity circulation, insufficient commodity supply quantity, high commodity return rate, and commodity fleeing; the working behavior abnormity comprises late arrival, early return, identity use and channel conflict.
On one hand, the invention has simple system structure, flexible and convenient networking operation, high system operation efficiency and low requirement on system hardware, and simultaneously has flexible and convenient networking operation and system expansion operation, and good data processing safety and reliability; on the other hand, the universality is good, the comprehensiveness of electronic commerce management work is good, the comprehensive monitoring on the sales conditions of personnel, commodities and commodities participating in the electronic commerce can be comprehensively realized, the early warning on abnormal conditions can be timely carried out, and the electronic commerce work can be pre-judged based on the current data, so that the accuracy and the reliability of the electronic commerce work management are greatly improved.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (3)
1. The management method of the intelligent electronic commerce online management system is characterized in that the intelligent electronic commerce online management system comprises a comprehensive management server (1) based on big data, a cloud storage platform (2), a PC control terminal (3), an APP control terminal (4) and a communication network (5), wherein the comprehensive management server (1) based on the big data is respectively in data connection with the cloud storage platform (2), the PC control terminal (3) and the APP control terminal (4) through the communication network (5), the PC control terminal (3) and the APP control terminal (4) are respectively in a plurality, and the PC control terminal (3) and the APP control terminal (4) are mutually in mixed connection through the communication network (5) to form a plurality of electronic commerce transaction local area networks; the comprehensive management server (1) based on the big data is internally provided with a bottom layer processing program layer based on cloud computing, an information input and output layer based on a control interface, a data scheduling layer based on a flash scheduler and a data storage layer of a distributed data storage, wherein the data storage layer of the distributed data storage is in data connection with a cloud storage platform (2) through a communication network (5);
the management method comprises the following steps:
s1, firstly, at least one comprehensive management server (1) based on big data is built at an e-commerce transaction provider, then a third-party service platform provides storage service of a cloud storage platform (2) for the comprehensive management server (1) based on big data, corresponding PC control terminals (3) and APP control terminals (4) are respectively configured for a management layer, a business layer and a warehouse layer which currently participate in an e-commerce system, and finally the comprehensive management server (1) based on big data distributes independent data communication addresses for the cloud storage platform (2), the PC control terminals (3) and the APP control terminals (4), and pushes e-commerce operation terminal programs for the PC control terminals (3) and the APP control terminals (4) to complete system configuration;
s2, firstly, management layer workers count according to workers, commodity information and logistics information participating in electronic commerce transactions, and store the statistics into a comprehensive management server (1) based on big data in a classified manner, meanwhile, an electronic commerce control interface and an electronic commerce data mapping file list are generated in the comprehensive management server (1) based on the big data according to the input related information, and the electronic commerce control interface is pushed to a PC control terminal (3) and an APP control terminal (4) to serve as a control interface of a business operation terminal program;
s3, managing e-commerce business, performing e-commerce activities, specifically including a personnel layer, a commodity layer, a logistics layer and an information feedback layer in the e-commerce management work;
a personnel layer: uniformly managing and identifying the identity identification information of electronic commerce platform management staff, electronic commerce merchant staff and electronic commerce transaction party staff participating in the electronic commerce activities, and acquiring and identifying merchant information;
a commodity layer: collecting commodity information, commodity transaction amount information and commodity transaction abnormal information which participate in electronic commerce transaction;
and (3) logistics layer: on one hand, the warehouses and inventory commodities recorded in the step S2 are counted, and the shipment quantity and the inventory quantity of each commodity are counted; on the other hand, the personnel layer and the commodity layer data are combined to monitor and collect commodity logistics channels, logistics time information and commodity states in the logistics process;
an information feedback layer: unified operational analysis is comprehensively carried out on data of a personnel layer, a commodity layer and a logistics layer, on one hand, personnel attendance, transaction amount, transaction success rate and transaction commodity selection tendency are obtained for analysis, and marking and early warning are carried out on personnel with abnormal working behaviors; on the other hand, the commodity receiving and dispatching efficiency, commodity transaction and transportation channels, commodity quality and after-sale data in transaction activities are counted, the commodities with low transaction success rate are marked and early warned, the commodities with large transaction amount and insufficient inventory are marked and early warned, finally, management loopholes, hidden dangers and commodity sales service activities existing in the operation of an electronic commerce platform are simulated and analyzed, and at least two electronic commerce activity management plans in 7-60 days in the future are made;
s4, in the electronic commerce work, a PC control terminal (3) and an APP control terminal (4) which are newly added to the electronic commerce firstly send a registration request to the comprehensive management server (1) based on big data, and after the identity identification and authentication are completed through the comprehensive management server (1) based on big data, the comprehensive management server (1) based on big data distributes independent data communication addresses for the PC control terminal (3) and the APP control terminal (4) which are newly added to the electronic commerce, and then the step of S1 is returned to carry out electronic commerce transaction;
s5, for the PC control terminal (3) and APP control terminal (4) quitting the electronic business transaction system, firstly sending quit request to the comprehensive management server (1) based on big data, sending register request to the PC control terminal (3) and APP control terminal (4) to be quitted, searching the electronic business transaction activities related to the APP control terminal (4), and after finishing all electronic business activities and related services, directly deleting the data communication addresses of the current PC control terminal (3) and APP control terminal (4) by the comprehensive management server (1) based on big data, and deleting the identity identification information after reserving the identity identification information for at least 1 month, thus finishing quitting of the PC control terminal (3) and APP control terminal (4).
2. The management method of the intelligent e-commerce online management system as claimed in claim 1, wherein: the bottom layer processing program layer based on the cloud computing is additionally provided with a stack subprogram, a priority computing subprogram and a trust meter subprogram, wherein the trust meter subprogram comprises same-domain trust computing and cross-domain trust computing, and the computing result of the trust meter subprogram generates synchronous mapping data in the priority computing subprogram and the bottom layer processing program based on the cloud computing.
3. The management method of the intelligent e-commerce online management system as claimed in claim 1, wherein: the comprehensive management server (1) based on big data establish at least one transaction interaction management server, communication protocol management server, prevent hot wall certificate server in addition under, comprehensive management server (1) based on big data is connected with transaction interaction management server, communication protocol management server respectively through preventing hot wall certificate server, transaction interaction management server, communication protocol management server are connected with cloud storage platform (2), PC control terminal (3), APP control terminal (4) respectively through preventing hot wall certificate server in addition.
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