WO2017161577A1 - Data removal method and system - Google Patents

Data removal method and system Download PDF

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Publication number
WO2017161577A1
WO2017161577A1 PCT/CN2016/077408 CN2016077408W WO2017161577A1 WO 2017161577 A1 WO2017161577 A1 WO 2017161577A1 CN 2016077408 W CN2016077408 W CN 2016077408W WO 2017161577 A1 WO2017161577 A1 WO 2017161577A1
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Prior art keywords
data
exclusion
value
time
keyword
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PCT/CN2016/077408
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French (fr)
Chinese (zh)
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马岩
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马岩
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Application filed by 马岩 filed Critical 马岩
Priority to CN201680000334.6A priority Critical patent/CN105849729A/en
Priority to PCT/CN2016/077408 priority patent/WO2017161577A1/en
Publication of WO2017161577A1 publication Critical patent/WO2017161577A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462Approximate or statistical queries

Definitions

  • the present invention relates to the field of communications and data, and in particular, to a data exclusion method and system.
  • Smart city construction is a systematic project.
  • urban management is intelligent, and the smart city management system assists in managing the city, followed by intelligent transportation, intelligent power, and intelligent buildings.
  • Intelligent infrastructure such as smart security, including smart intelligence, smart home, smart education and other social intelligence and intelligent production of intelligent enterprises, smart banks and smart stores, thus comprehensively improving the modernization level of urban production, management and operation.
  • Smart city is a fusion of information economy and knowledge economy.
  • the computer network of information economy provides construction wisdom. The basic conditions of the city, while the human brain wisdom of the knowledge economy turns human wisdom into the kinetic energy of urban development.
  • the data of the existing smart city is massive data. How to effectively exclude the data is a research direction, and the existing smart city cannot effectively exclude the data.
  • a data exclusion method is provided, which solves the shortcomings of the prior art that the data of the smart city cannot be effectively excluded.
  • a data exclusion method comprising the steps of:
  • the excluded value of the data is calculated according to the keyword, the data time and the degree of attention, and if the excluded value is lower than the set threshold, the rule is excluded.
  • the method further includes:
  • the method further includes:
  • the storage time of the data is determined according to the exclusion value.
  • a data exclusion system comprising:
  • a receiving unit configured to receive data of a smart city
  • An analysis processing unit configured to analyze and process the data to obtain a keyword, a data time, and a degree of attention of the data
  • the exclusion unit is configured to calculate an exclusion value of the data according to the keyword, the data time, and the attention degree, and if the exclusion value is lower than the set threshold, the exclusion is performed.
  • system further includes:
  • the saving unit is configured to save the data if the exclusion value is higher than a set threshold.
  • system further includes:
  • a time unit for determining a storage time of the data according to the exclusion value.
  • the technical solution provided by the specific embodiment of the present invention receives data of a smart city, analyzes and processes the data to obtain a keyword, a data time, and a degree of attention of the data, and calculates an excluded value of the data according to the keyword, the data time, and the degree of attention, such as If the exclusion value is lower than the set threshold, it is excluded, so it has good data exclusion effect.
  • FIG. 1 is a flowchart of a data elimination method provided by the present invention
  • FIG. 2 is a structural diagram of a data exclusion system provided by the present invention.
  • FIG. 1 is a schematic diagram of a first preferred embodiment of the present invention.
  • Step S101 Receive data of a smart city
  • Step S102 Perform analysis processing on the data to obtain a keyword, a data time, and a degree of attention of the data;
  • Step S103 The excluded value of the data is calculated according to the keyword, the data time, and the degree of attention. If the excluded value is lower than the set threshold, the rule is excluded.
  • the technical solution provided by the specific embodiment of the present invention receives data of a smart city, analyzes and processes the data to obtain a keyword, a data time, and a degree of attention of the data, and calculates an excluded value of the data according to the keyword, the data time, and the degree of attention, such as If the exclusion value is lower than the set threshold, it is excluded, so it has good data exclusion effect.
  • the foregoing method may further include:
  • the foregoing method may further include:
  • the storage time of the data is determined according to the exclusion value.
  • FIG. 2 is a data exclusion system according to a second preferred embodiment of the present invention.
  • the system includes:
  • the receiving unit 201 is configured to receive data of the smart city
  • the analysis processing unit 202 is configured to perform analysis processing on the data to obtain a keyword, a data time, and a degree of attention of the data;
  • Exclusion unit 203 For calculating the exclusion value of the data according to the keyword, the data time, and the attention degree, and excluding if the exclusion value is lower than the set threshold.
  • the technical solution provided by the specific embodiment of the present invention receives data of a smart city, analyzes and processes the data to obtain a keyword, a data time, and a degree of attention of the data, and calculates an excluded value of the data according to the keyword, the data time, and the degree of attention, such as If the exclusion value is lower than the set threshold, it is excluded, so it has good data exclusion effect.
  • the above system may further include:
  • the saving unit 204 is configured to save the data if the exclusion value is higher than a set threshold.
  • the above system may further include:
  • the time unit 205 is configured to determine a storage time of the data according to the exclusion value.
  • Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another.
  • a storage medium may be any available media that can be accessed by a computer.
  • the computer readable medium may include random access memory (Random Access Memory, RAM), Read-Only Memory (ROM), electrically erasable programmable read only memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), CD-ROM (Compact Disc Read-Only Memory, CD-ROM) Or other optical disc storage, magnetic storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of an instruction or data structure and that can be accessed by a computer. Also. Any connection may suitably be a computer readable medium.
  • RAM Random Access Memory
  • ROM Read-Only Memory
  • EEPROM Electrically erasable programmable read only memory
  • CD-ROM Compact Disc Read-Only Memory
  • CD-ROM Compact Disc Read-Only Memory
  • Any connection may suitably be a computer readable medium.
  • a disk and a disc include a compact disc (CD) ), laser disc, CD, digital versatile disc (DVD) ), floppy disks and Blu-ray discs, where the disc is usually magnetically replicated, while the disc uses a laser to optically replicate the data. Combinations of the above should also be included within the scope of the computer readable media.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Probability & Statistics with Applications (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Fuzzy Systems (AREA)
  • Computational Linguistics (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • User Interface Of Digital Computer (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

A data removal method and system, the method comprising the following steps: receiving data of a smart city (101); performing analysis of the data to obtain data keywords, a data time, and a degree of interest (102); on the basis of the data keywords, the data time, and the degree of interest, calculating a removal value of the data, and if the removal value is lower than a preset threshold, then removing same (103). The present method has the advantage of good data removal effects.

Description

数据排除方法及系统  Data elimination method and system 技术领域Technical field
本发明涉及通信及数据领域,尤其涉及一种 数据排除方法及系统 。 The present invention relates to the field of communications and data, and in particular, to a data exclusion method and system.
背景技术Background technique
智能城市建设是一个系统工程。在智能城市体系中,首先城市管理智能化,由智能城市管理系统辅助管理城市,其次是包括智能交通、智能电力、 智能建筑 、智能安全等基础设施智能化,也包括智能医疗、智能家庭、智能教育等社会智能化和智能企业、智能银行、智能商店的生产智能化,从而全面提升城市生产、管理、运行的现代化水平。智能城市是信息经济与知识经济的融合体,信息经济的电脑网络提供了建设智 能城市的基础条件,而知识经济的人脑智慧则将人类智慧变为城市发展的动能。北京工商大学世界经济研究中心主任季铸教授主持完成中国第一个城市智能管理系统 -- 北京城市智能管理系统 ' ( BCSMS )。在此基础上,季铸教授主持设计的 ' 中国经济智能管理系统 ' ( CESMS )也于 2011 年 1 月正式启动,中国经 济被纳入智能管理轨道, 2011 年 ' 世界经济智能预警系统( WESFS )也将投入运行,北京已经成为世界智能经济中心。 Smart city construction is a systematic project. In the smart city system, first of all, urban management is intelligent, and the smart city management system assists in managing the city, followed by intelligent transportation, intelligent power, and intelligent buildings. Intelligent infrastructure such as smart security, including smart intelligence, smart home, smart education and other social intelligence and intelligent production of intelligent enterprises, smart banks and smart stores, thus comprehensively improving the modernization level of urban production, management and operation. Smart city is a fusion of information economy and knowledge economy. The computer network of information economy provides construction wisdom. The basic conditions of the city, while the human brain wisdom of the knowledge economy turns human wisdom into the kinetic energy of urban development. Professor Ji Zhu, Director of the World Economic Research Center of Beijing Technology and Business University, presided over the completion of China's first urban intelligent management system -- Beijing Urban Intelligent Management System ' ( BCSMS ). On this basis, Professor Ji Zhu's design of the 'China Economic Intelligence Management System' (CESMS) was also in 2011 1 The official launch of the month, the Chinese economy is included in the intelligent management track, the 2011 World Economic Intelligence Early Warning System (WESFS) will also be put into operation, and Beijing has become the world's smart economy center.
现有的智能城市的数据为海量的数据,如何对数据进行有效的排除是一个研究方向,现有的智能城市无法对数据进行有效的排除。 The data of the existing smart city is massive data. How to effectively exclude the data is a research direction, and the existing smart city cannot effectively exclude the data.
技术问题technical problem
提供一种 数据排除方法 ,其解决了现有技术的无法对智能城市的数据进行有效的排除的缺点。  A data exclusion method is provided, which solves the shortcomings of the prior art that the data of the smart city cannot be effectively excluded.
技术解决方案Technical solution
一方面,提供一种 数据排除方法,所述方法包括如下步骤: In one aspect, a data exclusion method is provided, the method comprising the steps of:
接收智能城市的数据; Receive data from smart cities;
对数据进行分析处理得到数据的关键字、数据时间以及关注度; Analyze the data to get the keyword, data time and attention of the data;
依据该关键字、数据时间和关注度计算该数据的排除值,如该排除值低于设定阈值,则排除。 The excluded value of the data is calculated according to the keyword, the data time and the degree of attention, and if the excluded value is lower than the set threshold, the rule is excluded.
可选的,所述方法还包括: Optionally, the method further includes:
如该排除值高于设定阈值,则将该数据保存。 If the exclusion value is higher than the set threshold, the data is saved.
可选的,所述方法还包括: Optionally, the method further includes:
依据该排除值确定数据的保存时间。 The storage time of the data is determined according to the exclusion value.
第二方面,提供一种 数据排除系统,所述系统包括: In a second aspect, a data exclusion system is provided, the system comprising:
接收单元,用于 接收智能城市的数据; a receiving unit, configured to receive data of a smart city;
分析处理单元,用于对数据进行分析处理得到数据的关键字、数据时间以及关注度; An analysis processing unit, configured to analyze and process the data to obtain a keyword, a data time, and a degree of attention of the data;
排除单元,用于依据该关键字、数据时间和关注度计算该数据的排除值,如该排除值低于设定阈值,则排除。 The exclusion unit is configured to calculate an exclusion value of the data according to the keyword, the data time, and the attention degree, and if the exclusion value is lower than the set threshold, the exclusion is performed.
可选的,所述系统还包括: Optionally, the system further includes:
保存单元,用于如该排除值高于设定阈值,则将该数据保存。 The saving unit is configured to save the data if the exclusion value is higher than a set threshold.
可选的,所述系统还包括: Optionally, the system further includes:
时间单元,用于依据该排除值确定数据的保存时间。 a time unit for determining a storage time of the data according to the exclusion value.
有益效果Beneficial effect
本发明具体实施方式提供的技术方案接收智能城市的数据,对数据进行分析处理得到数据的关键字、数据时间以及关注度,依据该关键字、数据时间和关注度计算该数据的排除值,如该排除值低于设定阈值,则排除,所以其具有数据排除效果好的 优点 。 The technical solution provided by the specific embodiment of the present invention receives data of a smart city, analyzes and processes the data to obtain a keyword, a data time, and a degree of attention of the data, and calculates an excluded value of the data according to the keyword, the data time, and the degree of attention, such as If the exclusion value is lower than the set threshold, it is excluded, so it has good data exclusion effect. Advantages.
附图说明DRAWINGS
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,下面描述中的附图仅仅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 more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and other drawings can be obtained from those skilled in the art without any creative work.
图 1 为本发明提供的一种数据排除方法的流程图; FIG. 1 is a flowchart of a data elimination method provided by the present invention;
图 2 为本发明提供的一种数据排除系统的结构图。 FIG. 2 is a structural diagram of a data exclusion system provided by the present invention.
本发明的实施方式Embodiments of the invention
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。 The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.
参阅图 1 ,图 1 为本发明第一较佳实施方式提供的一种 数据排除方法的流程图,该方法由服务器来完成,该方法如图 1 所示,包括如下步骤: Referring to FIG. 1 , FIG. 1 is a schematic diagram of a first preferred embodiment of the present invention. A flowchart of a data exclusion method, which is performed by a server. The method is as shown in FIG. 1 and includes the following steps:
步骤 S101 、 接收智能城市的数据; Step S101: Receive data of a smart city;
步骤 S102 、对数据进行分析处理得到数据的关键字、数据时间以及关注度; Step S102: Perform analysis processing on the data to obtain a keyword, a data time, and a degree of attention of the data;
步骤 S103 、依据该关键字、数据时间和关注度计算该数据的排除值,如该排除值低于设定阈值,则排除。 Step S103 The excluded value of the data is calculated according to the keyword, the data time, and the degree of attention. If the excluded value is lower than the set threshold, the rule is excluded.
本发明具体实施方式提供的技术方案接收智能城市的数据,对数据进行分析处理得到数据的关键字、数据时间以及关注度,依据该关键字、数据时间和关注度计算该数据的排除值,如该排除值低于设定阈值,则排除,所以其具有数据排除效果好的 优点 。 The technical solution provided by the specific embodiment of the present invention receives data of a smart city, analyzes and processes the data to obtain a keyword, a data time, and a degree of attention of the data, and calculates an excluded value of the data according to the keyword, the data time, and the degree of attention, such as If the exclusion value is lower than the set threshold, it is excluded, so it has good data exclusion effect. Advantages.
可选的,上述方法在步骤 S103 之后还可以包括: Optionally, after the step S103, the foregoing method may further include:
如该排除值高于设定阈值,则将该数据保存。 If the exclusion value is higher than the set threshold, the data is saved.
可选的,上述方法在步骤 S103 之后还可以包括: Optionally, after the step S103, the foregoing method may further include:
依据该排除值确定数据的保存时间。 The storage time of the data is determined according to the exclusion value.
参阅图 2 ,图 2 为本发明第二较佳实施方式提供的一种 数据排除系统,该系统包括: Referring to FIG. 2, FIG. 2 is a data exclusion system according to a second preferred embodiment of the present invention. The system includes:
接收单元 201 ,用于 接收智能城市的数据; The receiving unit 201 is configured to receive data of the smart city;
分析处理单元 202 ,用于对数据进行分析处理得到数据的关键字、数据时间以及关注度; The analysis processing unit 202 is configured to perform analysis processing on the data to obtain a keyword, a data time, and a degree of attention of the data;
排除单元 203 ,用于依据该关键字、数据时间和关注度计算该数据的排除值,如该排除值低于设定阈值,则排除。 Exclusion unit 203 For calculating the exclusion value of the data according to the keyword, the data time, and the attention degree, and excluding if the exclusion value is lower than the set threshold.
本发明具体实施方式提供的技术方案接收智能城市的数据,对数据进行分析处理得到数据的关键字、数据时间以及关注度,依据该关键字、数据时间和关注度计算该数据的排除值,如该排除值低于设定阈值,则排除,所以其具有数据排除效果好的 优点 。 The technical solution provided by the specific embodiment of the present invention receives data of a smart city, analyzes and processes the data to obtain a keyword, a data time, and a degree of attention of the data, and calculates an excluded value of the data according to the keyword, the data time, and the degree of attention, such as If the exclusion value is lower than the set threshold, it is excluded, so it has good data exclusion effect. Advantages.
可选的,上述系统还可以包括: Optionally, the above system may further include:
保存单元 204 ,用于如该排除值高于设定阈值,则将该数据保存。 The saving unit 204 is configured to save the data if the exclusion value is higher than a set threshold.
可选的,上述系统还可以包括: Optionally, the above system may further include:
时间单元 205 ,用于依据该排除值确定数据的保存时间。 The time unit 205 is configured to determine a storage time of the data according to the exclusion value.
需要说明的是,对于前述的各方法实施方式或实施例,为了简单描述,故将其都表述为一系列的动作组合,但是本领域技术人员应该知悉,本发明并不受所描述的动作顺序的限制,因为根据本发明,某些步骤可以采用其他顺序或者同时进行。其次,本领域技术人员也应该知悉,说明书中所描述实施方式或实施例均属于优选实施例,所涉及的动作和单元并不一定是本发明所必须的。 It should be noted that, for the foregoing method embodiments or embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present invention is not subject to the described action sequence. Limitations, as certain steps may be performed in other sequences or concurrently in accordance with the present invention. In the following, those skilled in the art should also understand that the embodiments or examples described in the specification are preferred embodiments, and the actions and units involved are not necessarily required by the present invention.
在上述实施例中,对各个实施例的描述都各有侧重,某个实施例中没有详述的部分,可以参见其他实施例的相关描述。 In the above embodiments, the descriptions of the various embodiments are different, and the details that are not detailed in a certain embodiment can be referred to the related descriptions of other embodiments.
本发明实施例方法中的步骤可以根据实际需要进行顺序调整、合并和删减。 The steps in the method of the embodiment of the present invention may be sequentially adjusted, merged, and deleted according to actual needs.
本发明实施例装置中的单元可以根据实际需要进行合并、划分和删减。本领域的技术人员可以将本说明书中描述的不同实施例以及不同实施例的特征进行结合或组合。 The units in the apparatus of the embodiment of the present invention may be combined, divided, and deleted according to actual needs. Those skilled in the art can combine or combine the different embodiments described in the specification and the features of the different embodiments.
通过以上的实施方式的描述,所属领域的技术人员可以清楚地了解到本发明可以用硬件实现,或固件实现,或它们的组合方式来实现。当使用软件实现时,可以将上述功能存储在计算机可读介质中或作为计算机可读介质上的一个或多个指令或代码进行传输。计算机可读介质包括计算机存储介质和通信介质,其中通信介质包括便于从一个地方向另一个地方传送计算机程序的任何介质。存储介质可以是计算机能够存取的任何可用介质。以此为例但不限于:计算机可读介质可以包括随机存取存储器 (Random Access Memory , RAM) 、只读存储器 (Read-Only Memory , ROM) 、电可擦可编程只读存储器 (Electrically Erasable Programmable Read-Only Memory , EEPROM) 、只读光盘 (Compact Disc Read-Only Memory , CD-ROM) 或其他光盘存储、磁盘存储介质或者其他磁存储设备、或者能够用于携带或存储具有指令或数据结构形式的期望的程序代码并能够由计算机存取的任何其他介质。此外。任何连接可以适当的成为计算机可读介质。例如,如果软件是使用同轴电缆、光纤光缆、双绞线、数字用户线( Digital Subscriber Line , DSL )或者诸如红外线、无线电和微波之类的无线技术从网站、服务器或者其他远程源传输的,那么同轴电缆、光纤光缆、双绞线、 DSL 或者诸如红外线、无线和微波之类的无线技术包括在所属介质的定影中。如本发明所使用的,盘( Disk )和碟( disc )包括压缩光碟( CD )、激光碟、光碟、数字通用光碟( DVD )、软盘和蓝光光碟,其中盘通常磁性的复制数据,而碟则用激光来光学的复制数据。上面的组合也应当包括在计算机可读介质的保护范围之内。 Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented in hardware, firmware implementation, or a combination thereof. When implemented in software, the functions described above may be stored in or transmitted as one or more instructions or code on a computer readable medium. Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another. A storage medium may be any available media that can be accessed by a computer. By way of example, but not limited to, the computer readable medium may include random access memory (Random Access Memory, RAM), Read-Only Memory (ROM), electrically erasable programmable read only memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), CD-ROM (Compact Disc Read-Only Memory, CD-ROM) Or other optical disc storage, magnetic storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of an instruction or data structure and that can be accessed by a computer. Also. Any connection may suitably be a computer readable medium. For example, if the software is using coaxial cable, fiber optic cable, twisted pair, digital subscriber line ( Digital Subscriber Line, DSL ) or wireless technologies such as infrared, radio and microwave transmission from websites, servers or other remote sources, then coaxial cable, fiber optic cable, twisted pair, DSL Or wireless technologies such as infrared, wireless, and microwaves are included in the fixing of the associated medium. As used in the present invention, a disk and a disc include a compact disc (CD) ), laser disc, CD, digital versatile disc (DVD) ), floppy disks and Blu-ray discs, where the disc is usually magnetically replicated, while the disc uses a laser to optically replicate the data. Combinations of the above should also be included within the scope of the computer readable media.
总之,以上所述仅为本发明技术方案的较佳实施例而已,并非用于限定本发明的保护范围。凡在本发明的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。 In summary, the above description is only a preferred embodiment of the technical solution of the present invention, and is not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims (6)

  1. 一种 数据排除方法,其特征在于,所述方法包括如下步骤: A data exclusion method, characterized in that the method comprises the following steps:
    接收智能城市的数据;Receive data from smart cities;
    对数据进行分析处理得到数据的关键字、数据时间以及关注度;Analyze the data to get the keyword, data time and attention of the data;
    依据该关键字、数据时间和关注度计算该数据的排除值,如该排除值低于设定阈值,则排除。The excluded value of the data is calculated according to the keyword, the data time and the degree of attention, and if the excluded value is lower than the set threshold, the rule is excluded.
  2. 根据权利要求 1 所述的方法,其特征在于,所述方法还包括:The method of claim 1 further comprising:
    如该排除值高于设定阈值,则将该数据保存。If the exclusion value is higher than the set threshold, the data is saved.
  3. 根据权利要求 1 所述的方法,其特征在于,所述方法还包括:The method of claim 1 further comprising:
    依据该排除值确定数据的保存时间。The storage time of the data is determined according to the exclusion value.
  4. 一种 数据排除系统,其特征在于,所述系统包括:A data exclusion system, characterized in that the system comprises:
    接收单元,用于 接收智能城市的数据;a receiving unit, configured to receive data of a smart city;
    分析处理单元,用于对数据进行分析处理得到数据的关键字、数据时间以及关注度;An analysis processing unit, configured to analyze and process the data to obtain a keyword, a data time, and a degree of attention of the data;
    排除单元,用于依据该关键字、数据时间和关注度计算该数据的排除值,如该排除值低于设定阈值,则排除。The exclusion unit is configured to calculate an exclusion value of the data according to the keyword, the data time, and the attention degree, and if the exclusion value is lower than the set threshold, the exclusion is performed.
  5. 根据权利要求 4 所述的系统,其特征在于,所述系统还包括:The system of claim 4, wherein the system further comprises:
    保存单元,用于如该排除值高于设定阈值,则将该数据保存。The saving unit is configured to save the data if the exclusion value is higher than a set threshold.
  6. 根据权利要求 4 所述的系统,其特征在于,所述系统还包括:The system of claim 4, wherein the system further comprises:
    时间单元,用于依据该排除值确定数据的保存时间。a time unit for determining a storage time of the data according to the exclusion value.
PCT/CN2016/077408 2016-03-25 2016-03-25 Data removal method and system WO2017161577A1 (en)

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