WO2020232592A1 - Stationery information scheduling system based on big data - Google Patents
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- the invention belongs to the technical field of big data, and in particular relates to a stationery information dispatching system based on big data.
- stationery data informatization construction in stationery production enterprises has gradually entered the era of big data, and the application data of stationery scheduling systems is growing rapidly.
- stationery data in current stationery production enterprises is scattered in various business systems It cannot be used for comprehensive scheduling and cannot provide guarantee for the timely processing of data scheduling.
- embodiments of the present invention provide a stationery information scheduling system based on big data, which realizes the real-time information acquisition and scheduling function of the stationery scheduling system; maximizes the use of cloud storage and computing resources Processing stationery information data reduces the processing cost and improves the efficiency of stationery information data search and dispatch.
- a stationery information dispatching system based on big data includes:
- a data integration module that collects, classifies and stores various types of stationery information data through the cloud server
- the integration process of stationery information data is divided into data storage tasks, data classification tasks, index calculation tasks and data processing analysis calculation tasks, and each task is matched with a cloud service resource pool that meets its needs to form a cloud service resource plan pool.
- a task planning module to obtain storage resources or computing resources required in the process of big data processing;
- the task planning module perform the evaluation of the cloud service resource plan pool, select the optimal cloud service resource plan pool, and provide storage and computing resources for the stationery information data processing plan pool evaluation module;
- the information data scheduling module for scheduling the required stationery information data in the corresponding location of the cloud service resource pool
- the information data display module that displays the dispatched stationery information data to the user in real time through the display screen.
- the data integration module includes a big data information server, the big data information server is used to collect stationery information data, which is connected to the commodity database of each shopping mall and the commodity database of the e-commerce platform through the Internet.
- the big data information server is used to collect stationery information data, which is connected to the commodity database of each shopping mall and the commodity database of the e-commerce platform through the Internet.
- the information data scheduling module includes an information data searching unit for searching stationery information data that meets the stationery information scheduling request.
- the solution pool evaluation module includes a solution pool evaluation unit and a solution pool evaluation optimization unit.
- it further includes a redundancy judgment module for performing redundancy judgment on stationery information data stored in the cloud service resource pool, and deleting the same stationery information data.
- a redundancy judgment module for performing redundancy judgment on stationery information data stored in the cloud service resource pool, and deleting the same stationery information data.
- it also includes a method for dividing the stationery information data stored in the cloud service resource pool to obtain the divided stationery information data set; and calculating the hash value of the current stationery information data set through the check value hash algorithm, and Search for a target stationery information data set with the same hash value in the backed up stationery information data set; if a target stationery information data set with the same hash value is found in the backed up stationery information data set, then the target stationery information The data set is compared byte by byte with the current stationery information data set; a disaster recovery backup module that performs backup of the current stationery information data set according to the comparison result.
- the stationery information dispatching system based on big data provided by the embodiment of the present invention realizes the real-time information acquisition and dispatching function of the stationery dispatching system; it uses cloud storage and computing resources to process stationery information data to the maximum benefit, reducing processing costs, Improve the efficiency of stationery information data search and dispatch.
- Figure 1 is a schematic structural diagram of a stationery information dispatch system based on big data provided by an embodiment of the present invention
- FIG. 2 is a schematic structural diagram of another stationery information dispatching system based on big data provided by an embodiment of the present invention
- Fig. 3 is a schematic structural diagram of another stationery information dispatching system based on big data provided by an embodiment of the present invention.
- the stationery information scheduling system based on big data provided by the embodiment of the present invention includes a data integration module, a task planning module, a solution pool evaluation module, an information data scheduling module, and an information data display module.
- the data integration module includes a big data information server, the big data information server is used to collect stationery information data, which is connected to the commodity database of each shopping mall and the commodity database of the e-commerce platform through the Internet;
- the information data scheduling module includes An information data search unit for finding stationery information data that satisfies the stationery information scheduling request;
- the program pool evaluation module includes a program pool evaluation unit and a program pool evaluation optimization unit; realizes the real-time information acquisition and scheduling function of the stationery scheduling system; maximizes profit Use cloud storage and computing resources to process stationery information data, reduce processing costs, and improve the efficiency of stationery information data search and dispatch.
- a stationery information dispatching system 10 based on big data includes: a data integration module 11 that collects, classifies, and stores stationery information data of various types through a cloud server;
- the integration process of stationery information data is divided into data storage tasks, data classification tasks, index calculation tasks, and data processing analysis and calculation tasks, and each task is matched with a cloud service resource pool that meets its needs to form a cloud service resource plan pool to obtain
- the task planning module 12 for storage resources or computing resources required in the big data processing process; according to the task planning of the big data service generated by the task planning module, perform the evaluation of the cloud service resource plan pool and select the optimal cloud service resource plan pool ,
- the solution pool evaluation module 13 that provides storage and computing resources for the processing of stationery information data; the information data scheduling module 14 that schedules the stationery information data needed in the corresponding position of the cloud service resource pool according to the stationery information scheduling request input by the user; and
- the dispatched stationery information data is displayed to the user's information data display module 15
- the data integration module 11 includes a big data information server 111.
- the big data information server 111 is used to collect stationery information data, which is connected to the commodity databases of various shopping malls and the commodity databases of e-commerce platforms through the Internet. .
- the information data scheduling module 14 includes an information data searching unit 141 for searching stationery information data that meets the stationery information scheduling request.
- the solution pool evaluation module 13 includes a solution pool evaluation unit 131 and a solution pool evaluation and optimization unit 132.
- the system further includes a redundancy judgment module 16 for performing redundancy judgment on stationery information data stored in the cloud service resource pool, and deleting the same stationery information data, Can reduce the burden of data storage.
- the system further includes a disaster recovery backup module 17 for dividing the stationery information data stored in the cloud service resource pool to obtain a divided stationery information data set; and Calculate the hash value of the current stationery information data set through the check value hash algorithm, and find whether there is a target stationery information data set with the same hash value in the backed up stationery information data set; if in the backed up stationery information data set If a target stationery information data set with the same hash value is found, the target stationery information data set is compared with the current stationery information data set byte by byte; the current stationery information data set is backed up according to the comparison result, which can help users Respond to "soft" disasters such as man-made misoperation, software errors, and virus intrusion, as well as "hard” disasters such as hardware failures and natural disasters.
- "soft" disasters such as man-made misoperation, software errors, and virus intrusion
- the stationery information scheduling system based on big data provided by the above-mentioned embodiments of the invention includes a data integration module, a task planning module, a solution pool evaluation module, an information data scheduling module, and an information data display module.
- the data integration module includes a big data information server, the big data information server is used to collect stationery information data, which is connected to the commodity database of each shopping mall and the commodity database of the e-commerce platform through the Internet;
- the information data scheduling module includes An information data search unit for finding stationery information data that satisfies the stationery information scheduling request;
- the program pool evaluation module includes a program pool evaluation unit and a program pool evaluation optimization unit; realizes the real-time information acquisition and scheduling function of the stationery scheduling system; maximizes profit Use cloud storage and computing resources to process stationery information data, reduce processing costs, and improve the efficiency of stationery information data search and dispatch.
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Abstract
The present application is used for the field of big data, and provides a stationery information scheduling system based on big data, comprising: a data integration module, a task planning module, a solution pool evaluation module, an information data scheduling module, and an information data display module. The data integration module comprises a big data information server; said big data information server is used collecting stationery information data, and is connected to product databases of various shopping malls and electronic commerce platforms by means of the Internet; the information data scheduling module comprises an information data searching unit used for searching stationery information data which meets a stationery information scheduling request; the solution pool evaluation module comprises a solution pool evaluation unit and a solution pool evaluation optimization unit; the invention achieves real-time information acquisition and scheduling functions of a stationery scheduling system, uses cloud storage and computing resources to the greatest benefit to process stationery information data, reducing processing costs, improving the efficiency of stationery information data search and scheduling.
Description
本发明属于大数据技术领域，尤其涉及一种基于大数据的文具信息调度系统。The invention belongs to the technical field of big data, and in particular relates to a stationery information dispatching system based on big data.
随着大数据技术的发展，文具生产企业中的文具数据信息化建设已逐步进入了大数据时代，文具调度系统应用数据快速增长，但是，目前的文具生产企业中的文具数据分散在各个业务系统中，无法对其进行综合调度利用，也无法为数据调度的及时处理提供保证。With the development of big data technology, the stationery data informatization construction in stationery production enterprises has gradually entered the era of big data, and the application data of stationery scheduling systems is growing rapidly. However, the stationery data in current stationery production enterprises is scattered in various business systems It cannot be used for comprehensive scheduling and cannot provide guarantee for the timely processing of data scheduling.
发明内容Summary of the invention
为了克服上述现有技术中的技术问题，本发明实施例提供一种基于大数据的文具信息调度系统，实现了文具调度系统的信息实时获取调度功能；最大利益化地使用云端的存储和计算资源对文具信息数据进行处理，降低了处理成本，提高了文具信息数据查找调度的效率。In order to overcome the above-mentioned technical problems in the prior art, embodiments of the present invention provide a stationery information scheduling system based on big data, which realizes the real-time information acquisition and scheduling function of the stationery scheduling system; maximizes the use of cloud storage and computing resources Processing stationery information data reduces the processing cost and improves the efficiency of stationery information data search and dispatch.
本发明实施例是这样实现的，一种基于大数据的文具信息调度系统，包括：The embodiment of the present invention is implemented as follows. A stationery information dispatching system based on big data includes:
通过云服务器对各类型的文具信息数据进行搜集、分类并存储的数据整合模块；A data integration module that collects, classifies and stores various types of stationery information data through the cloud server;
对文具信息数据的整合过程划分为数据存储任务、数据分类任务、索引计算任务和数据处理分析计算任务，并为每个任务匹配满足其需求的云端服务资源池，形成云服务资源方案池，以获得大数据处理过程中所需的存储资源或计算资源的任务规划模块；The integration process of stationery information data is divided into data storage tasks, data classification tasks, index calculation tasks and data processing analysis calculation tasks, and each task is matched with a cloud service resource pool that meets its needs to form a cloud service resource plan pool. A task planning module to obtain storage resources or computing resources required in the process of big data processing;
根据任务规划模块生成的大数据服务的任务规划，执行云服务资源方案池的评估，选择最优的云服务资源方案池，为文具信息数据的处理提供存储和计算资源的方案池评估模块；According to the task planning of the big data service generated by the task planning module, perform the evaluation of the cloud service resource plan pool, select the optimal cloud service resource plan pool, and provide storage and computing resources for the stationery information data processing plan pool evaluation module;
根据用户输入的文具信息调度请求在云端服务资源池的相应位置调度需要的文具信息数据的信息数据调度模块；以及According to the stationery information scheduling request input by the user, the information data scheduling module for scheduling the required stationery information data in the corresponding location of the cloud service resource pool; and
将调度的文具信息数据通过显示屏实时显示给用户的信息数据显示模块。The information data display module that displays the dispatched stationery information data to the user in real time through the display screen.
优选地，所述数据整合模块包括大数据信息服务器，所述大数据信息服务器用于搜集文具信息数据，其通过互联网与各商场的商品数据库、电子商务平台的商品数据库连接。Preferably, the data integration module includes a big data information server, the big data information server is used to collect stationery information data, which is connected to the commodity database of each shopping mall and the commodity database of the e-commerce platform through the Internet.
优选地，所述信息数据调度模块包括用于查找满足文具信息调度请求的文具信息数据的信息数据查找单元。Preferably, the information data scheduling module includes an information data searching unit for searching stationery information data that meets the stationery information scheduling request.
优选地，所述方案池评估模块包括方案池评估单元和方案池评估优化单元。Preferably, the solution pool evaluation module includes a solution pool evaluation unit and a solution pool evaluation optimization unit.
优选地，还包括用于对云端服务资源池内存储的文具信息数据进行冗余判断，删除相同的文具信息数据的冗余判断模块。Preferably, it further includes a redundancy judgment module for performing redundancy judgment on stationery information data stored in the cloud service resource pool, and deleting the same stationery information data.
优选地，还包括用于对云端服务资源池内存储的文具信息数据进行分割，得到分割的文具信息数据集；并通过校验值哈希算法，针对当前文具信息数据集计算其哈希值，并在已备份文具信息数据集中查找是否有相同哈希值的目标文具信息数据集；若在已备份文具信息数据集中查找到有相同哈希值的目标文具信息数据集，则将所述目标文具信息数据集与当前文具信息数据集进行逐字节比较；根据比较结果进行当前文具信息数据集的备份的容灾备份模块。Preferably, it also includes a method for dividing the stationery information data stored in the cloud service resource pool to obtain the divided stationery information data set; and calculating the hash value of the current stationery information data set through the check value hash algorithm, and Search for a target stationery information data set with the same hash value in the backed up stationery information data set; if a target stationery information data set with the same hash value is found in the backed up stationery information data set, then the target stationery information The data set is compared byte by byte with the current stationery information data set; a disaster recovery backup module that performs backup of the current stationery information data set according to the comparison result.
本发明实施例提供的基于大数据的文具信息调度系统，实现了文具调度系统的信息实时获取调度功能；最大利益化地使用云端的存储和计算资源对文具信息数据进行处理，降低了处理成本，提高了文具信息数据查找调度的效率。The stationery information dispatching system based on big data provided by the embodiment of the present invention realizes the real-time information acquisition and dispatching function of the stationery dispatching system; it uses cloud storage and computing resources to process stationery information data to the maximum benefit, reducing processing costs, Improve the efficiency of stationery information data search and dispatch.
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施 例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are For some of the embodiments of the present invention, those of ordinary skill in the art can obtain other drawings based on these drawings without creative work.
以下附图仅旨在于对本发明做示意性说明和解释，并不限定本发明的范围。The following drawings are only intended to schematically illustrate and explain the present invention, and do not limit the scope of the present invention.
图1是本发明实施例提供的一种基于大数据的文具信息调度系统的结构示意图；Figure 1 is a schematic structural diagram of a stationery information dispatch system based on big data provided by an embodiment of the present invention;
图2是本发明实施例提供的另一种基于大数据的文具信息调度系统的结构示意图；2 is a schematic structural diagram of another stationery information dispatching system based on big data provided by an embodiment of the present invention;
图3是本发明实施例提供的又一种基于大数据的文具信息调度系统的结构示意图。Fig. 3 is a schematic structural diagram of another stationery information dispatching system based on big data provided by an embodiment of the present invention.
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.
本发明实施例提供的基于大数据的文具信息调度系统，包括数据整合模块、任务规划模块、方案池评估模块、信息数据调度模块以及信息数据显示模块。其中，数据整合模块包括大数据信息服务器，所述大数据信息服务器用于搜集文具信息数据，其通过互联网与各商场的商品数据库、电子商务平台的商品数据库连接；所述信息数据调度模块包括用于查找满足文具信息调度请求的文具信息数据的信息数据查找单元；所述方案池评估模块包括方案池评估单元和方案池评估优化单元；实现了文具调度系统的信息实时获取调度功能；最大利益化地使用云端的存储和计算资源对文具信息数据进行处理，降低了处理成本，提高了文具信息数据查找调度的效率。The stationery information scheduling system based on big data provided by the embodiment of the present invention includes a data integration module, a task planning module, a solution pool evaluation module, an information data scheduling module, and an information data display module. Among them, the data integration module includes a big data information server, the big data information server is used to collect stationery information data, which is connected to the commodity database of each shopping mall and the commodity database of the e-commerce platform through the Internet; the information data scheduling module includes An information data search unit for finding stationery information data that satisfies the stationery information scheduling request; the program pool evaluation module includes a program pool evaluation unit and a program pool evaluation optimization unit; realizes the real-time information acquisition and scheduling function of the stationery scheduling system; maximizes profit Use cloud storage and computing resources to process stationery information data, reduce processing costs, and improve the efficiency of stationery information data search and dispatch.
以下结合具体实施例对本发明的具体实现进行详细描述。The specific implementation of the present invention will be described in detail below in conjunction with specific embodiments.
如图1所示，在本发明实施例中，一种基于大数据的文具信息调度系统10， 包括：通过云服务器对各类型的文具信息数据进行搜集、分类并存储的数据整合模块11；对文具信息数据的整合过程划分为数据存储任务、数据分类任务、索引计算任务和数据处理分析计算任务，并为每个任务匹配满足其需求的云端服务资源池，形成云服务资源方案池，以获得大数据处理过程中所需的存储资源或计算资源的任务规划模块12；根据任务规划模块生成的大数据服务的任务规划，执行云服务资源方案池的评估，选择最优的云服务资源方案池，为文具信息数据的处理提供存储和计算资源的方案池评估模块13；根据用户输入的文具信息调度请求在云端服务资源池的相应位置调度需要的文具信息数据的信息数据调度模块14；以及将调度的文具信息数据通过显示屏实时显示给用户的信息数据显示模块15，实现了文具调度系统的信息实时获取调度功能；最大利益化地使用云端的存储和计算资源对文具信息数据进行处理，降低了处理成本，提高了文具信息数据查找调度的效率。As shown in FIG. 1, in the embodiment of the present invention, a stationery information dispatching system 10 based on big data includes: a data integration module 11 that collects, classifies, and stores stationery information data of various types through a cloud server; The integration process of stationery information data is divided into data storage tasks, data classification tasks, index calculation tasks, and data processing analysis and calculation tasks, and each task is matched with a cloud service resource pool that meets its needs to form a cloud service resource plan pool to obtain The task planning module 12 for storage resources or computing resources required in the big data processing process; according to the task planning of the big data service generated by the task planning module, perform the evaluation of the cloud service resource plan pool and select the optimal cloud service resource plan pool , The solution pool evaluation module 13 that provides storage and computing resources for the processing of stationery information data; the information data scheduling module 14 that schedules the stationery information data needed in the corresponding position of the cloud service resource pool according to the stationery information scheduling request input by the user; and The dispatched stationery information data is displayed to the user's information data display module 15 in real time through the display screen, which realizes the stationery dispatching system's information acquisition and dispatching function in real time; using cloud storage and computing resources to process stationery information data to the greatest advantage The processing cost is improved, and the efficiency of searching and scheduling stationery information data is improved.
在本实施例中，所述数据整合模块11包括大数据信息服务器111，所述大数据信息服务器111用于搜集文具信息数据，其通过互联网与各商场的商品数据库、电子商务平台的商品数据库连接。In this embodiment, the data integration module 11 includes a big data information server 111. The big data information server 111 is used to collect stationery information data, which is connected to the commodity databases of various shopping malls and the commodity databases of e-commerce platforms through the Internet. .
在本实施例中，所述信息数据调度模块14包括用于查找满足文具信息调度请求的文具信息数据的信息数据查找单元141。In this embodiment, the information data scheduling module 14 includes an information data searching unit 141 for searching stationery information data that meets the stationery information scheduling request.
在本实施例中，所述方案池评估模块13包括方案池评估单元131和方案池评估优化单元132。In this embodiment, the solution pool evaluation module 13 includes a solution pool evaluation unit 131 and a solution pool evaluation and optimization unit 132.
作为本发明的一个优选实施例，如图2所示，所述系统还包括冗余判断模块16，用于对云端服务资源池内存储的文具信息数据进行冗余判断，删除相同的文具信息数据，能够减轻数据存储负担。As a preferred embodiment of the present invention, as shown in FIG. 2, the system further includes a redundancy judgment module 16 for performing redundancy judgment on stationery information data stored in the cloud service resource pool, and deleting the same stationery information data, Can reduce the burden of data storage.
作为本发明的一个优选实施例，如图3所示，所述系统还包括容灾备份模块17，用于对云端服务资源池内存储的文具信息数据进行分割，得到分割的文具信息数据集；并通过校验值哈希算法，针对当前文具信息数据集计算其哈希值，并在已备份文具信息数据集中查找是否有相同哈希值的目标文具信息数据 集；若在已备份文具信息数据集中查找到有相同哈希值的目标文具信息数据集，则将所述目标文具信息数据集与当前文具信息数据集进行逐字节比较；根据比较结果进行当前文具信息数据集的备份，能够帮助用户应对人为误操作、软件错误、病毒入侵等“软”性灾害以及硬件故障、自然灾害等“硬”性灾害。As a preferred embodiment of the present invention, as shown in FIG. 3, the system further includes a disaster recovery backup module 17 for dividing the stationery information data stored in the cloud service resource pool to obtain a divided stationery information data set; and Calculate the hash value of the current stationery information data set through the check value hash algorithm, and find whether there is a target stationery information data set with the same hash value in the backed up stationery information data set; if in the backed up stationery information data set If a target stationery information data set with the same hash value is found, the target stationery information data set is compared with the current stationery information data set byte by byte; the current stationery information data set is backed up according to the comparison result, which can help users Respond to "soft" disasters such as man-made misoperation, software errors, and virus intrusion, as well as "hard" disasters such as hardware failures and natural disasters.
上述发明实施例提供的基于大数据的文具信息调度系统，包括数据整合模块、任务规划模块、方案池评估模块、信息数据调度模块以及信息数据显示模块。其中，数据整合模块包括大数据信息服务器，所述大数据信息服务器用于搜集文具信息数据，其通过互联网与各商场的商品数据库、电子商务平台的商品数据库连接；所述信息数据调度模块包括用于查找满足文具信息调度请求的文具信息数据的信息数据查找单元；所述方案池评估模块包括方案池评估单元和方案池评估优化单元；实现了文具调度系统的信息实时获取调度功能；最大利益化地使用云端的存储和计算资源对文具信息数据进行处理，降低了处理成本，提高了文具信息数据查找调度的效率。The stationery information scheduling system based on big data provided by the above-mentioned embodiments of the invention includes a data integration module, a task planning module, a solution pool evaluation module, an information data scheduling module, and an information data display module. Among them, the data integration module includes a big data information server, the big data information server is used to collect stationery information data, which is connected to the commodity database of each shopping mall and the commodity database of the e-commerce platform through the Internet; the information data scheduling module includes An information data search unit for finding stationery information data that satisfies the stationery information scheduling request; the program pool evaluation module includes a program pool evaluation unit and a program pool evaluation optimization unit; realizes the real-time information acquisition and scheduling function of the stationery scheduling system; maximizes profit Use cloud storage and computing resources to process stationery information data, reduce processing costs, and improve the efficiency of stationery information data search and dispatch.
以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。The above descriptions are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modification, equivalent replacement and improvement made within the spirit and principle of the present invention shall be included in the protection of the present invention. Within range.
Claims (6)
- 一种基于大数据的文具信息调度系统，其特征在于，包括：A stationery information dispatching system based on big data is characterized in that it includes:通过云服务器对各类型的文具信息数据进行搜集、分类并存储的数据整合模块；A data integration module that collects, classifies and stores various types of stationery information data through the cloud server;对文具信息数据的整合过程划分为数据存储任务、数据分类任务、索引计算任务和数据处理分析计算任务，并为每个任务匹配满足其需求的云端服务资源池，形成云服务资源方案池，以获得大数据处理过程中所需的存储资源或计算资源的任务规划模块；The integration process of stationery information data is divided into data storage tasks, data classification tasks, index calculation tasks and data processing analysis calculation tasks, and each task is matched with a cloud service resource pool that meets its needs to form a cloud service resource plan pool. A task planning module to obtain storage resources or computing resources required in the process of big data processing;根据任务规划模块生成的大数据服务的任务规划，执行云服务资源方案池的评估，选择最优的云服务资源方案池，为文具信息数据的处理提供存储和计算资源的方案池评估模块；According to the task planning of the big data service generated by the task planning module, perform the evaluation of the cloud service resource plan pool, select the optimal cloud service resource plan pool, and provide storage and computing resources for the stationery information data processing plan pool evaluation module;根据用户输入的文具信息调度请求在云端服务资源池的相应位置调度需要的文具信息数据的信息数据调度模块；以及According to the stationery information scheduling request input by the user, the information data scheduling module for scheduling the required stationery information data in the corresponding location of the cloud service resource pool; and将调度的文具信息数据通过显示屏实时显示给用户的信息数据显示模块。The information data display module that displays the dispatched stationery information data to the user in real time through the display screen.
- 如权利要求1所述的基于大数据的文具信息调度系统，其特征在于，所述数据整合模块包括大数据信息服务器，所述大数据信息服务器用于搜集文具信息数据，其通过互联网与各商场的商品数据库、电子商务平台的商品数据库连接。The stationery information dispatching system based on big data according to claim 1, wherein the data integration module includes a big data information server, and the big data information server is used to collect stationery information data, which communicates with various shopping malls via the Internet. Connect to the commodity database of the e-commerce platform.
- 如权利要求1所述的基于大数据的文具信息调度系统，其特征在于，所述信息数据调度模块包括用于查找满足文具信息调度请求的文具信息数据的信息数据查找单元。The stationery information scheduling system based on big data according to claim 1, wherein the information data scheduling module includes an information data searching unit for searching stationery information data that meets the stationery information scheduling request.
- 如权利要求1所述的基于大数据的文具信息调度系统，其特征在于，所述方案池评估模块包括方案池评估单元和方案池评估优化单元。The stationery information scheduling system based on big data according to claim 1, wherein the solution pool evaluation module includes a solution pool evaluation unit and a solution pool evaluation and optimization unit.
- 如权利要求1所述的基于大数据的文具信息调度系统，其特征在于，还包括用于对云端服务资源池内存储的文具信息数据进行冗余判断，删除相同的 文具信息数据的冗余判断模块。The stationery information dispatching system based on big data according to claim 1, characterized in that it further comprises a redundancy judgment module for performing redundancy judgment on stationery information data stored in the cloud service resource pool and deleting the same stationery information data .
- 如权利要求1所述的基于大数据的文具信息调度系统，其特征在于，还包括用于对云端服务资源池内存储的文具信息数据进行分割，得到分割的文具信息数据集；并通过校验值哈希算法，针对当前文具信息数据集计算其哈希值，并在已备份文具信息数据集中查找是否有相同哈希值的目标文具信息数据集；若在已备份文具信息数据集中查找到有相同哈希值的目标文具信息数据集，则将所述目标文具信息数据集与当前文具信息数据集进行逐字节比较；根据比较结果进行当前文具信息数据集的备份的容灾备份模块。The stationery information scheduling system based on big data according to claim 1, characterized in that it further comprises a stationery information data set for dividing the stationery information stored in the cloud service resource pool to obtain a divided stationery information data set; and passing the check value The hash algorithm is used to calculate the hash value of the current stationery information data set, and find whether there is a target stationery information data set with the same hash value in the backup stationery information data set; if the same is found in the backup stationery information data set According to the target stationery information data set of the hash value, the target stationery information data set is compared with the current stationery information data set byte by byte; a disaster tolerance backup module that performs backup of the current stationery information data set according to the comparison result.
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