CN114971435B - Intelligent water affair cloud service method, device, equipment and medium - Google Patents
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Abstract
本发明涉及云服务领域,揭露一种智慧水务云服务方法、装置、电子设备以及存储介质,所述方法包括:构建水务来源的监测传感器,利用监测传感器对水务数据进行采集,配置采集水务数据的数据传输方法,利用数据传输方法将采集水务数据传输至云端;利用大数据技术抽取采集水务数据中的目标水务数据,对目标水务数据进行分类处理,得到分类水务数据;配置分类水务数据的缓存空间,将分类水务数据加载至缓存空间中,得到限流水务数据;查询限流水务数据中每个数据的水务对象,配置水务对象与所述限流水务数据中每个数据的关系映射表,根据关系映射表,构建水务来源的可视化视图。本发明可以提高智慧水务的管控及时性。
The present invention relates to the field of cloud services, and discloses a smart water cloud service method, device, electronic equipment, and storage medium. The method includes: constructing a monitoring sensor for water source, using the monitoring sensor to collect water data, and configuring a device for collecting water data Data transmission method, using the data transmission method to transmit the collected water affairs data to the cloud; using big data technology to extract the target water affairs data in the collected water affairs data, and classifying and processing the target water affairs data to obtain the classified water affairs data; configure the cache space of the classified water affairs data , load the classified water affairs data into the cache space to obtain the current-limited water affairs data; query the water affairs object of each data in the current-limited water affairs data, configure the relationship mapping table between the water affairs object and each data in the current-limited water affairs data, according to Relational mapping table to build a visual view of water sources. The invention can improve the timeliness of management and control of smart water affairs.
Description
技术领域technical field
本发明涉及云服务领域,尤其涉及一种智慧水务云服务方法、装置、电子设备以及存储介质。The present invention relates to the field of cloud services, in particular to a smart water cloud service method, device, electronic equipment and storage medium.
背景技术Background technique
智慧水务云服务方法是指利用云端服务器实现对水务每个大小模块的智慧管理的过程,以用于利用云服务减少数据的冗余度及利用智慧水务实现线上对水务的全面化管理。The smart water cloud service method refers to the process of using cloud servers to realize the intelligent management of each module of water affairs, so as to use cloud services to reduce data redundancy and use smart water affairs to realize online comprehensive management of water affairs.
目前,一些平台实现了对水务的数字化管理,但是仍然存在一些问题,例如对实际环境中的水务监测失灵时,会导致线上对水务的管理失去控制;当将实际环境中监测到的数据传输至在平台中时,由于平台对数据的处理与分析能力不足,会使得数据较为冗余并且负责人查看数据较为麻烦,最后导致对水务数据的管控不及时。因此,智慧水务的管控及时性不足。At present, some platforms have realized the digital management of water affairs, but there are still some problems. For example, when the monitoring of water affairs in the actual environment fails, the online management of water affairs will lose control; when the data monitored in the actual environment is transmitted When it is on the platform, due to the lack of data processing and analysis capabilities of the platform, the data will be redundant and it will be troublesome for the person in charge to view the data, which will eventually lead to untimely management and control of water affairs data. Therefore, the timeliness of smart water management and control is insufficient.
发明内容Contents of the invention
为了解决上述问题,本发明提供了一种智慧水务云服务方法、装置、电子设备以及存储介质,可以提高智慧水务的管控及时性。In order to solve the above problems, the present invention provides a smart water cloud service method, device, electronic equipment, and storage medium, which can improve the timeliness of smart water management and control.
第一方面,本发明提供了一种智慧水务云服务方法,包括:In the first aspect, the present invention provides a smart water cloud service method, including:
获取水务来源,构建所述水务来源的监测传感器,利用所述监测传感器对水务数据进行采集,得到采集水务数据,配置所述采集水务数据的数据传输方法,利用所述数据传输方法将所述采集水务数据传输至云端;Obtain the source of water affairs, construct a monitoring sensor for the water affairs source, use the monitoring sensor to collect water affairs data, obtain the collected water affairs data, configure the data transmission method for collecting the water affairs data, and use the data transmission method to transfer the collected Water data transmission to the cloud;
在所述云端中利用大数据技术抽取所述采集水务数据中的目标水务数据,对所述目标水务数据进行分类处理,得到分类水务数据;Using big data technology in the cloud to extract target water data in the collected water data, classify the target water data, and obtain classified water data;
在所述云端中配置所述分类水务数据的缓存空间,并将所述分类水务数据加载至缓存空间中,以通过所述缓存空间对所述分类水务数据进行限流,得到限流水务数据;Configuring a cache space for the classified water data in the cloud, and loading the classified water data into the cache space, so as to limit the flow of the classified water data through the cache space, and obtain the flow-limited water data;
查询所述限流水务数据中每个数据的水务对象,并配置所述水务对象与所述限流水务数据中每个数据的关系映射表,根据所述关系映射表,构建所述水务来源的可视化视图。Query the water object of each data in the current-limited water data, and configure the relationship mapping table between the water object and each data in the current-limited water data, and construct the source of the water according to the relationship mapping table Visualization view.
在第一方面的一种可能实现方式中,所述构建所述水务来源的监测传感器,包括:In a possible implementation manner of the first aspect, the construction of the monitoring sensor for the water source includes:
识别所述水务来源的来源类型;Identify the source type of the water source;
根据所述来源类型,配置所述水务来源的监测项目;According to the source type, configure the monitoring items of the water source;
根据所述监测项目,构建所述水务来源的监测传感器。According to the monitoring project, a monitoring sensor for the water source is constructed.
在第一方面的一种可能实现方式中所述利用所述监测传感器对水务数据进行采集,得到采集水务数据,包括:In a possible implementation manner of the first aspect, the monitoring sensor is used to collect water data to obtain collected water data, including:
区分所述监测传感器的监测类型;Distinguishing the monitoring type of the monitoring sensor;
根据所述监测类型,查询所述监测传感器的监测原理;According to the monitoring type, query the monitoring principle of the monitoring sensor;
根据所述监测原理,对所述水务数据进行采集,得到采集水务数据。According to the monitoring principle, the water data is collected to obtain the collected water data.
在第一方面的一种可能实现方式中,所述在所述云端中配置所述分类水务数据的缓存空间,包括:In a possible implementation manner of the first aspect, configuring the cache space of the classified water data in the cloud includes:
利用下述公式计算所述分类水务数据的缓存容量:Use the following formula to calculate the cache capacity of the classified water data:
其中,Q表示所述分类水务数据的缓存容量,R表示所述分类水务数据对应的用户总数,表示单个用户数据大小 (字节);Wherein, Q represents the cache capacity of the classified water data, R represents the total number of users corresponding to the classified water data, Indicates the size of a single user data (bytes);
根据所述缓存容量,在所述云端中利用快速适配算法查询所述分类水务数据的目标缓存空间;According to the cache capacity, using a fast adaptation algorithm in the cloud to query the target cache space of the classified water data;
构建所述目标缓存空间中每个缓存空间之间的关联地址;Constructing an associated address between each cache space in the target cache space;
根据所述关联地址,确定所述分类水务数据的缓存空间。According to the associated address, the cache space of the classified water data is determined.
在第一方面的一种可能实现方式中,所述将所述分类水务数据加载至缓存空间中,包括:In a possible implementation manner of the first aspect, the loading the classified water data into the cache space includes:
构建所述分类水务数据的加载请求;constructing a load request for the classified water affairs data;
根据所述加载请求,查询所述分类水务数据的加载地址;According to the loading request, query the loading address of the classified water data;
根据所述加载地址,将所述分类水务数据加载至缓存空间中。According to the loading address, the classified water data is loaded into the cache space.
在第一方面的一种可能实现方式中所述查询所述限流水务数据中每个数据的水务对象,包括:In a possible implementation manner of the first aspect, querying the water object of each data in the flow-limited water data includes:
构建所述限流水务数据的特征统计图;Constructing a characteristic statistical diagram of the flow-limited water service data;
根据所述特征统计图,确定所述限流水务数据中每个数据的统计特征;According to the characteristic statistical chart, determine the statistical characteristics of each data in the current-limited water service data;
根据所述统计特征,查询所述限流水务数据中每个数据的水务对象。According to the statistical characteristics, the water object of each data in the current-limited water data is queried.
在第一方面的一种可能实现方式中,所述根据所述关系映射表,构建所述水务来源的可视化视图,包括:In a possible implementation manner of the first aspect, the constructing the visual view of the water source according to the relationship mapping table includes:
根据所述关系映射表,对所述水务来源进行可视化映射,得到映射水务;According to the relational mapping table, visually map the source of water affairs to obtain mapped water affairs;
建立所述映射水务中每个水务之间的联系视图;Establish a connection view between each water service in the mapped water service;
对所述联系视图进行人机交互处理,得到所述水务来源的可视化视图。Human-computer interaction processing is performed on the contact view to obtain a visual view of the water source.
第二方面,本发明提供了一种智慧水务云服务方法系统装置,所述装置包括:In the second aspect, the present invention provides a smart water cloud service method system device, the device comprising:
水务数据传输模块,用于获取水务来源,构建所述水务来源的监测传感器,利用所述监测传感器对水务数据进行采集,得到采集水务数据,配置所述采集水务数据的数据传输方法,利用所述数据传输方法将所述采集水务数据传输至云端;The water affairs data transmission module is used to obtain the water affairs source, construct the monitoring sensor of the water affairs source, use the monitoring sensor to collect the water affairs data, obtain the collected water affairs data, configure the data transmission method for collecting the water affairs data, use the described The data transmission method transmits the collected water data to the cloud;
水务数据分类模块,用于在所述云端中利用大数据技术抽取所述采集水务数据中的目标水务数据,对所述目标水务数据进行分类处理,得到分类水务数据;The water data classification module is used to extract the target water data in the collected water data by using big data technology in the cloud, and classify the target water data to obtain classified water data;
水务数据限流模块,用于在所述云端中配置所述分类水务数据的缓存空间,并将所述分类水务数据加载至缓存空间中,以通过所述缓存空间对所述分类水务数据进行限流,得到限流水务数据;A water data current limiting module, configured to configure a cache space for the classified water data in the cloud, and load the classified water data into the cache space, so as to limit the classified water data through the cache space flow, to obtain flow-limited water service data;
可视化视图构建模块,用于查询所述限流水务数据中每个数据的水务对象,并配置所述水务对象与所述限流水务数据中每个数据的关系映射表,根据所述关系映射表,构建所述水务来源的可视化视图。The visual view building module is used to query the water object of each data in the flow-limited water data, and configure the relationship mapping table between the water object and each data in the flow-limited water data, according to the relationship mapping table to build a visualization of the water source.
第三方面,本发明提供一种电子设备,包括:In a third aspect, the present invention provides an electronic device, comprising:
至少一个处理器;以及与所述至少一个处理器通信连接的存储器;at least one processor; and a memory communicatively coupled to the at least one processor;
其中,所述存储器存储有可被所述至少一个处理器执行的计算机程序,以使所述至少一个处理器能够执行如上述第一方面中任意一项所述的智慧水务云服务方法。Wherein, the memory stores a computer program executable by the at least one processor, so that the at least one processor can execute the smart water cloud service method described in any one of the first aspects above.
第四方面,本发明提供一种计算机可读存储介质,存储有计算机程序,所述计算机程序被处理器执行时实现如上述第一方面中任意一项所述的智慧水务云服务方法。In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the smart water cloud service method described in any one of the above-mentioned first aspects is implemented.
与现有技术相比,本方案的技术原理及有益效果在于:Compared with the existing technology, the technical principle and beneficial effect of this scheme are:
本发明首先通过获取水务来源,以用于获取不同类型的水域中的水域数据,再通过构建水务来源的监测传感器,以提升对水务管理的及时性,进一步通过采集产水区域的水务数据,从而建立完善的智慧管理平台,同时,本发明通过配置水务对象与限流水务数据中每个数据的关系映射表,以可以快速匹配所述限流水务数据对应的可视化图形,构建所述水务来源的可视化视图,以提高智慧水务管控的及时性。In the present invention, the water source is used to obtain water data in different types of waters, and then the water source monitoring sensor is constructed to improve the timeliness of water management, and the water data of the water production area is further collected. Establish a perfect intelligent management platform. At the same time, the present invention can quickly match the visual graphics corresponding to the current-limited water data by configuring the relationship mapping table between the water object and each data in the current-limited water data, and construct the water source. Visual view to improve the timeliness of smart water management and control.
附图说明Description of drawings
此处的附图被并入说明书中并构成本说明书的一部分,示出了符合本发明的实施例,并与说明书一起用于解释本发明的原理。The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description serve to explain the principles of the invention.
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,对于本领域普通技术人员而言,在不付出创造性劳动性的前提下,还可以根据这些附图获得其他的附图。In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, In other words, other drawings can also be obtained from these drawings without paying creative labor.
图1为本发明一实施例提供的一种智慧水务云服务方法的流程示意图;Fig. 1 is a schematic flow diagram of a smart water cloud service method provided by an embodiment of the present invention;
图2为本发明一实施例中图1提供的一种智慧水务云服务方法的其中一个步骤的流程示意图;FIG. 2 is a schematic flowchart of one of the steps of a smart water cloud service method provided in FIG. 1 in an embodiment of the present invention;
图3为本发明一实施例中图1提供的一种智慧水务云服务方法的另外一个步骤的流程示意图;FIG. 3 is a schematic flowchart of another step of a smart water cloud service method provided in FIG. 1 in an embodiment of the present invention;
图4为本发明一实施例提供的一种智慧水务云服务方法系统装置的模块示意图;Fig. 4 is a block diagram of a smart water cloud service method system device provided by an embodiment of the present invention;
图5为本发明一实施例提供的实现智慧水务云服务方法的电子设备的内部结构示意图。Fig. 5 is a schematic diagram of the internal structure of an electronic device implementing a smart water cloud service method provided by an embodiment of the present invention.
具体实施方式Detailed ways
应当理解,此处所描述的具体实施方式仅仅用以解释本发明,并不用于限定本发明。It should be understood that the specific embodiments described here are only used to explain the present invention, and are not intended to limit the present invention.
本发明实施例提供一种智慧水务云服务方法,所述智慧水务云服务方法的执行主体包括但不限于服务端、终端等能够被配置为执行本发明实施例提供的该方法的电子设备中的至少一种。换言之,所述智慧水务云服务方法可以由安装在终端设备或服务端设备的软件或硬件来执行,所述软件可以是区块链平台。所述服务端包括但不限于:单台服务器、服务器集群、云端服务器或云端服务器集群等。所述服务器可以是独立的服务器,也可以是提供云服务、云数据库、云计算、云函数、云存储、网络服务、云通信、中间件服务、域名服务、安全服务、内容分发网络(Content Delivery Network,CDN)、以及大数据和人工智能平台等基础云计算服务的云服务器。An embodiment of the present invention provides a smart water cloud service method, and the execution subject of the smart water cloud service method includes but is not limited to a server, a terminal, and other electronic devices that can be configured to execute the method provided by the embodiment of the present invention at least one. In other words, the smart water cloud service method can be executed by software or hardware installed on a terminal device or a server device, and the software can be a block chain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server can be an independent server, or it can provide cloud service, cloud database, cloud computing, cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, content distribution network (Content Delivery Network) Network, CDN), and cloud servers for basic cloud computing services such as big data and artificial intelligence platforms.
参阅图1所示,是本发明一实施例提供的智慧水务云服务方法的流程示意图。其中,图1中描述的智慧水务云服务方法包括:Referring to FIG. 1 , it is a schematic flowchart of a smart water cloud service method provided by an embodiment of the present invention. Among them, the smart water cloud service method described in Figure 1 includes:
S1、获取水务来源,构建所述水务来源的监测传感器,利用所述监测传感器对水务数据进行采集,得到采集水务数据,配置所述采集水务数据的数据传输方法,利用所述数据传输方法将所述采集水务数据传输至云端。S1. Obtain the source of water affairs, construct a monitoring sensor for the water affairs source, use the monitoring sensor to collect the water affairs data, obtain the collected water affairs data, configure the data transmission method for collecting the water affairs data, and use the data transmission method to transfer all the water affairs data The collected water data is transmitted to the cloud.
本发明实施例通过获取水务来源,以用于获取不同类型的水域中的水域数据。其中,所述水务来源包括自然资源(如河流、湖泊、地下水等)和人工水源(如海水淡化、回用水等)。In the embodiments of the present invention, water sources are obtained to obtain water data in different types of waters. Wherein, the water sources include natural resources (such as rivers, lakes, groundwater, etc.) and artificial water sources (such as seawater desalination, reused water, etc.).
进一步地,本发明实施例通过构建所述水务来源的监测传感器,以用于检测所述水务来源所产生的水务数据,提升对水务管理的及时性。其中,所述监测传感器是指对水务产生的多种类型数据进行监测与采集的传感器,包括余氯传感器、电导率传感器、水温传感器等。Further, the embodiment of the present invention improves the timeliness of water management by constructing the monitoring sensor of the water source to detect the water data generated by the water source. Wherein, the monitoring sensor refers to a sensor that monitors and collects various types of data generated by water affairs, including a residual chlorine sensor, a conductivity sensor, a water temperature sensor, and the like.
如图2所示,本发明的一实施例中,所述构建所述水务来源的监测传感器,包括:As shown in Figure 2, in an embodiment of the present invention, the construction of the monitoring sensor for the water source includes:
S201识别所述水务来源的来源类型;S201 identifying the source type of the water source;
S202根据所述来源类型,配置所述水务来源的监测项目;S202 Configure the monitoring items of the water source according to the source type;
S203根据所述监测项目,构建所述水务来源的监测传感器。S203 Build a monitoring sensor for the water source according to the monitoring item.
示例性地,识别所述水务来源的来源类型为人工水源(如海水淡化、回用水等);则在所述人工水源中可以监测到水源中存在的余氯、溶解氧等物质,则可以确定所述水务来源的监测项目为监测余氯、溶解氧等物质;根据所述监测项目,构建所述水务来源的监测传感器为余氯传感器、溶解氧传感器等。Exemplarily, the source type that identifies the water source is an artificial water source (such as seawater desalination, reused water, etc.); then in the artificial water source, residual chlorine, dissolved oxygen and other substances in the water source can be monitored, and it can be determined The monitoring items of the water sources are monitoring residual chlorine, dissolved oxygen and other substances; according to the monitoring items, the monitoring sensors of the water sources are constructed as residual chlorine sensors, dissolved oxygen sensors, and the like.
进一步地,本发明实施例通过利用所述监测传感器对水务数据进行采集,以用于采集产水区域的水务数据,保障后续通过对水务数据进行详尽的数据分析,从而建立完善的智慧管理平台。其中,所述水务数据是指与水务有关的数据,例如用户用水量,供水量、蓄水量等数据。Furthermore, the embodiments of the present invention use the monitoring sensors to collect water data for collecting water data in water-producing areas, ensuring subsequent detailed data analysis of water data, thereby establishing a complete intelligent management platform. Wherein, the water affairs data refers to data related to water affairs, such as user water consumption, water supply volume, water storage volume and other data.
如图3所示,本发明的一实施例中,所述利用所述监测传感器对水务数据进行采集,得到采集水务数据,包括:As shown in Figure 3, in an embodiment of the present invention, the use of the monitoring sensor to collect water data to obtain collected water data includes:
S301区分所述监测传感器的监测类型;S301 differentiate the monitoring type of the monitoring sensor;
S302根据所述监测类型,查询所述监测传感器的监测原理;S302 Query the monitoring principle of the monitoring sensor according to the monitoring type;
S303根据所述监测原理,对所述水务数据进行采集,得到采集水务数据。S303 collects the water affairs data according to the monitoring principle, and obtains the collected water affairs data.
示例性地,由于不同类型的监测传感器的监测原理不一致,因此需要识别所述监测传感器的监测类型,例如所述余氯传感器的监测方法包括:采用先进的恒电压原理,用于测量水体中余氯,该方法利用在极化电极和参比电极之间施加一个稳定的电位势,不同的被测成份在该电位势下产生不同的电流强度。仪表通过对电流信号的采集和分析计算出被测成份的浓度。余氯传感器结构简单,易于清洁和更换,同时电极使用过程无须更换膜片与试剂,维护简单,确保仪器长期工作的稳定可靠性和准确性。Exemplarily, since the monitoring principles of different types of monitoring sensors are inconsistent, it is necessary to identify the monitoring type of the monitoring sensor. For example, the monitoring method of the residual chlorine sensor includes: using an advanced constant voltage principle to measure residual chlorine in water Chlorine, the method utilizes a stable potential applied between the polarized electrode and the reference electrode, and different analyte components generate different current intensities under the potential. The instrument calculates the concentration of the measured component by collecting and analyzing the current signal. The residual chlorine sensor has a simple structure and is easy to clean and replace. At the same time, there is no need to replace the diaphragm and reagents during the use of the electrode, and the maintenance is simple, ensuring the long-term stability, reliability and accuracy of the instrument.
进一步地,本发明实施例通过配置所述采集水务数据的数据传输方法,以用于将线下监测到的数据及时传输至线上,通过在线上实现对数据的管控,提升水务管控的及时性。其中,所述数据传输方法包括有线以太网、GPRS、5G、4G、ROLA、MBIOT等方法。Further, the embodiment of the present invention configures the data transmission method for collecting water affairs data to transmit the offline monitored data to the online in time, and realizes the data management and control online to improve the timeliness of water affairs management and control . Wherein, the data transmission method includes wired Ethernet, GPRS, 5G, 4G, ROLA, MBIOT and other methods.
本发明的一实施例中,所述配置所述采集水务数据的数据传输方法,包括:获取所述采集水务数据的采集内容,分析所述采集内容的采集特征;根据所述采集特征,配置所述采集水务数据的数据传输方法。In an embodiment of the present invention, the data transmission method for configuring the collected water data includes: acquiring the collection content of the collected water data, and analyzing the collection characteristics of the collection content; according to the collection characteristics, configuring the Describe the data transmission method for collecting water affairs data.
示例性地,若所述采集内容包括环境声音、水务视频等,则需要利用可以传输视频的高级传输方式,如5G网络,若所述采集内容仅包括流水量,则成本低的传输方式即可,例如3G网络。For example, if the collected content includes environmental sound, water affairs video, etc., it is necessary to use an advanced transmission method that can transmit video, such as a 5G network. If the collected content only includes water flow, a low-cost transmission method will suffice. , such as a 3G network.
进一步地,本发明实施例通过利用所述数据传输方法将所述采集水务数据传输至云端,以用于将线下数据转为线上数据。其中,所述云端是指采用应用程序虚拟化技术(Application Virtualization)的软件平台,集软件搜索、下载、使用、管理、备份等多种功能为一体,通过该平台,各类常用软件都能够在独立的虚拟化环境中被封装起来,从而使应用软件不会与系统产生耦合,达到绿色使用软件的目的。Further, the embodiment of the present invention transmits the collected water data to the cloud by using the data transmission method, so as to convert offline data into online data. Wherein, the cloud refers to a software platform that adopts Application Virtualization technology (Application Virtualization), which integrates multiple functions such as software search, download, use, management, and backup. It is encapsulated in an independent virtualization environment, so that the application software will not be coupled with the system, and the purpose of using the software in a green way is achieved.
S2、在所述云端中利用大数据技术抽取所述采集水务数据中的目标水务数据,对所述目标水务数据进行分类处理,得到分类水务数据。S2. In the cloud, use big data technology to extract target water data in the collected water data, and classify the target water data to obtain classified water data.
本发明实施例通过在所述云端中利用大数据技术抽取所述采集水务数据中的目标水务数据,以用于采集的冗余数据中挑选有用的信息。In the embodiment of the present invention, the target water data in the collected water data is extracted by using big data technology in the cloud, so as to select useful information from the collected redundant data.
其中,所述大数据技术是指当前在各种类型的数据信息中迅捷地得到有意义的数据的手段,并且也能够处理数据量过大而导致无法使用的难题。大数据的关键性技术手段主要有以下几种:大数据数据获取、数据预处理、数据仓储和数据管控等。在这些技术手段里面,大数据数据获取、数据预处理、数据仓储和数据管控等。所述目标水务数据是指用于对水务进行管控的数据,主要有以下内容,日常消耗量的统计、不同种类的化学品的使用量等、每天供水的压力统计:水厂日供水统计等。Among them, the big data technology refers to the current means of quickly obtaining meaningful data from various types of data information, and can also deal with the problem that the data volume is too large to be usable. The key technical means of big data mainly include the following: big data data acquisition, data preprocessing, data warehousing and data management and control. Among these technical means, big data data acquisition, data preprocessing, data warehousing and data management and control, etc. The target water data refers to the data used for water management and control, mainly including the following content, daily consumption statistics, usage of different types of chemicals, etc., daily water supply pressure statistics: daily water supply statistics of water plants, etc.
本发明的一实施例中,所述在所述云端中利用大数据技术抽取所述采集水务数据中的目标水务数据,利用所述大数据技术的增量抽取实现。In an embodiment of the present invention, the extraction of the target water data in the collected water data using big data technology in the cloud is realized by incremental extraction using the big data technology.
其中,所述增量抽取是指只抽取自上次抽取以来数据库中要抽取的表中新增或修改的数据,在ETL使用过程中,增量抽取较全量抽取应用更广,如何捕获变化的数据是增量抽取的关键,对捕获方法一般有两点要求:准确性,能够将业务系统中的变化数据按一定的频率准确地捕获到;不能对业务系统造成太大的压力,影响现有业务。Wherein, the incremental extraction refers to extracting only the newly added or modified data in the tables to be extracted in the database since the last extraction. During the use of ETL, the incremental extraction is more widely used than the full extraction. How to capture the changes Data is the key to incremental extraction, and there are generally two requirements for the capture method: accuracy, which can accurately capture the changing data in the business system at a certain frequency; and can not cause too much pressure on the business system, affecting the existing business.
进一步地,本发明实施例通过对所述目标水务数据进行分类处理,以用于对所述目标水务数据进行细化与原子化处理,提升数据处理的精准度。Further, in the embodiment of the present invention, the target water data is classified and processed to refine and atomize the target water data, thereby improving the accuracy of data processing.
本发明的一实施例中,所述对所述目标水务数据进行分类处理,得到分类水务数据,通过利用预设分类规则实现。In an embodiment of the present invention, the classification processing of the target water data to obtain the classified water data is realized by using preset classification rules.
示例性地,所述预设分类规则可以设置为将数据分类为当天24小时之内的数据。Exemplarily, the preset classification rule may be set to classify the data as data within 24 hours of the current day.
S3、在所述云端中配置所述分类水务数据的缓存空间,并将所述分类水务数据加载至缓存空间中,以通过所述缓存空间对所述分类水务数据进行限流,得到限流水务数据。S3. Configure a cache space for the classified water data in the cloud, and load the classified water data into the cache space, so as to limit the flow of the classified water data through the cache space to obtain a flow-limited water data.
本发明实施例中,所述在所述云端中配置所述分类水务数据的缓存空间,以用于对数据进行存储,保障后续的管理与调取查询。其中,所述缓存空间是指用于存储所述分类水务数据的空间。In the embodiment of the present invention, the cache space of the classified water service data is configured in the cloud to store the data to ensure subsequent management and query. Wherein, the cache space refers to the space used to store the classified water data.
本发明的一实施例中,所述在所述云端中配置所述分类水务数据的缓存空间,包括:利用下述公式计算所述分类水务数据的缓存容量:In an embodiment of the present invention, configuring the cache space of the classified water data in the cloud includes: calculating the cache capacity of the classified water data by using the following formula:
其中,Q表示所述分类水务数据的缓存容量,R表示所述分类水务数据对应的用户总数,表示单个用户数据大小 (字节);Wherein, Q represents the cache capacity of the classified water data, R represents the total number of users corresponding to the classified water data, Indicates the size of a single user data (bytes);
根据所述缓存容量,在所述云端中利用快速适配算法查询所述分类水务数据的目标缓存空间;构建所述目标缓存空间中每个缓存空间之间的关联地址;根据所述关联地址,确定所述分类水务数据的缓存空间。According to the cache capacity, use the fast adaptation algorithm in the cloud to query the target cache space of the classified water data; construct the associated address between each cache space in the target cache space; according to the associated address, A cache space for the classified water data is determined.
其中,所述快速适配算法是指快速适配(quick fit)算法,它为那些常用大小的空闲区维护单独的链表,例如,有一个n项的表,该表的第一项是指向大小为4KB的空闲区链表表头的指针,第二项是指向大小为8KB的空闲区链表表头的指针,第三项是指向大小为12KB的空闲区链表表头的指针,以此类推。像21KB这样的空闲区既可以放在20KB的链表中,也可以放在一个专门存放大小比较特别的空闲区的链表中。Wherein, the quick fit algorithm refers to a quick fit algorithm, which maintains a separate linked list for those free areas of commonly used sizes, for example, there is a table of n items, and the first item of the table points to the size It is a pointer to the head of the free area linked list of 4KB, the second item is a pointer to the head of the free area linked list with a size of 8KB, the third item is a pointer to the head of the free area linked list with a size of 12KB, and so on. A free area like 21KB can be placed in a linked list of 20KB, or in a linked list dedicated to storing a free area of a special size.
可选地,构建所述目标缓存空间中每个缓存空间之间的关联地址可以为当1号存储地址为1024处、2号存储地址为2024处时,即可以利用指针指向1号地址的下一个地址2号地址,也可以利用i+1000的方式表示1号地址的下一个地址2号地址。Optionally, constructing the associated address between each cache space in the target cache space can be that when the No. An address No. 2 address can also use the method of i+1000 to represent the next address No. 2 address of No. 1 address.
进一步地,本发明实施例通过将所述分类水务数据加载至缓存空间中,以用于通过所述缓存空间对所述分类水务数据进行限流,得到限流水务数据。Further, in the embodiment of the present invention, the classified water data is loaded into a cache space, so as to limit the flow of the classified water data through the cache space, so as to obtain the current-limited water data.
本发明的一实施例中,所述将所述分类水务数据加载至缓存空间中,包括:构建所述分类水务数据的加载请求;根据所述加载请求,查询所述分类水务数据的加载地址;根据所述加载地址,将所述分类水务数据加载至缓存空间中。In an embodiment of the present invention, the loading of the classified water data into the cache space includes: constructing a loading request of the classified water data; querying the loading address of the classified water data according to the loading request; According to the loading address, the classified water data is loaded into the cache space.
示例性地,构建所述分类水务数据的加载请求可以通过TCP/IP协议实现;根据所述加载请求,在所述云端中,查询所述分类水务数据的缓存空间对应的地址,例如A目录地址下的B文件夹;查询到对应的地址之后,将数据传输至对应的地址文件中。Exemplarily, the loading request for constructing the classified water data can be implemented through the TCP/IP protocol; according to the loading request, in the cloud, query the address corresponding to the cache space of the classified water data, such as the address of the A directory B folder under ; after querying the corresponding address, transfer the data to the corresponding address file.
S4、查询所述限流水务数据中每个数据的水务对象,并配置所述水务对象与所述限流水务数据中每个数据的关系映射表,根据所述关系映射表,构建所述水务来源的可视化视图。S4. Query the water object of each data in the current-limited water service data, and configure the relationship mapping table between the water service object and each data in the flow-limited water service data, and construct the water service object according to the relationship mapping table A visual view of the source.
本发明实施例通过查询所述限流水务数据中每个数据的水务对象,以用于将所述限流水务数据中每个数据从数值转换为可视化的图形。其中,所述水务对象是指所述限流水务数据中每个数据的类型表现形式,例如某一数据的可视化图标、可视化三维模型等。In the embodiment of the present invention, each data in the current-limited water service data is converted from a numerical value into a visualized graph by querying the water service object of each data in the current-limited water service data. Wherein, the water object refers to the type of representation of each data in the flow-limited water data, such as a visualized icon of a certain data, a visualized three-dimensional model, and the like.
本发明的一实施例中,所述查询所述限流水务数据中每个数据的水务对象,包括:构建所述限流水务数据的特征统计图;根据所述特征统计图,确定所述限流水务数据中每个数据的统计特征;根据所述统计特征,查询所述限流水务数据中每个数据的水务对象。In an embodiment of the present invention, the querying the water object of each data in the current-limited water service data includes: constructing a characteristic statistical map of the current-limited water service data; Statistical characteristics of each data in the flow water data; according to the statistical characteristics, query the water object of each data in the flow-limited water data.
其中,所述特征统计图包括饼状图、条形图、曲线、多维数据立方体以及多维表等。Wherein, the characteristic statistical chart includes pie chart, bar chart, curve, multi-dimensional data cube, multi-dimensional table and so on.
示例性地,若构建所述限流水务数据的特征统计图为饼状图,则在所述饼状图中确定占比例最多的数据与占比例最少的数据等,则可以利用红色图标表示占比例最多的数据,绿色图标表示占比例最少的数据,则查询所述限流水务数据中每个数据的水务对象为对应的红色图标、绿色图标。Exemplarily, if the characteristic statistical chart of the flow-limited water service data is constructed as a pie chart, then the data with the largest proportion and the data with the least proportion are determined in the pie chart, and then the red icon can be used to represent The data with the largest proportion, and the green icon indicates the data with the least proportion, then the water object of each data in the flow-limited water service data is the corresponding red icon and green icon.
进一步地,本发明实施例通过配置所述水务对象与所述限流水务数据中每个数据的关系映射表,以用于利用所述关系映射表可以快速匹配所述限流水务数据对应的可视化图形。Further, in the embodiment of the present invention, by configuring the relationship mapping table between the water object and each data in the flow-limited water data, the relationship mapping table can be used to quickly match the visualization corresponding to the flow-limited water data. graphics.
本发明的一实施例中,所述配置所述水务对象与所述限流水务数据中每个数据的关系映射表,通过构建所述水务对象与所述限流水务数据中每个数据的EXCEL表格实现。In an embodiment of the present invention, the configuration of the relationship mapping table between the water object and each data in the flow-limited water data is by constructing the EXCEL of the water object and each data in the flow-limited water data form implementation.
进一步地,本发明实施例通过根据所述关系映射表,构建所述水务来源的可视化视图,以用于利用所述关系映射表中的多个图标在前台屏幕上表示所述水务来源。Further, in the embodiment of the present invention, a visual view of the water service source is constructed according to the relationship mapping table, so as to represent the water service source on the foreground screen by using a plurality of icons in the relationship mapping table.
本发明的一实施例中,所述根据所述关系映射表,构建所述水务来源的可视化视图,包括:根据所述关系映射表,对所述水务来源进行可视化映射,得到映射水务;建立所述映射水务中每个水务之间的联系视图;对所述联系视图进行人机交互处理,得到所述水务来源的可视化视图。In an embodiment of the present invention, the constructing the visual view of the water source according to the relationship mapping table includes: visually mapping the water source according to the relationship mapping table to obtain the mapped water; establishing the The connection view between each water service in the above-mentioned mapping water service; the human-computer interaction processing is performed on the connection view to obtain the visual view of the water source.
示例性地,所述可视化映射是指把所述水务来源数据映射为视觉元素的过程,可以利用大数据分析平台Smartbi实现,其支持Excel内置的复杂的仪表盘样式,例如内建图形、背景、条件格式等等,同时它还能够支持ECharts图形库,包括瀑布、热力图、树图等等十几种可以实现动态交互的图形;之后将映射好的图形之间进行相互关联,例如水库和的水的图形之间的关联;由于如果全部机械图标在屏幕中摆放出来,整个页面不仅会变得臃肿、混乱、缺乏美感,而且会出现主次不分的问题,导致用户的注意力无法集中,降低用户单位时间获取信息的能力,因此在数据可视化的过程中进行组织和筛选,最后确定可以用于人机交互的视图。Exemplarily, the visual mapping refers to the process of mapping the water source data into visual elements, which can be realized by using the big data analysis platform Smartbi, which supports Excel's built-in complex dashboard styles, such as built-in graphics, background, Conditional formatting, etc., and it can also support ECharts graphics library, including waterfalls, heat maps, tree diagrams, etc., more than a dozen graphics that can achieve dynamic interaction; after that, the mapped graphics will be correlated, such as reservoirs and The relationship between water graphics; because if all mechanical icons are placed on the screen, the entire page will not only become bloated, chaotic, and lack aesthetic feeling, but also there will be a problem of indiscriminate primary and secondary, resulting in the inability of users to concentrate , reduce the user's ability to obtain information per unit time, so organize and filter in the process of data visualization, and finally determine the view that can be used for human-computer interaction.
可以看出,本发明实施例首先通过获取水务来源,以用于获取不同类型的水域中的水域数据,进一步地,本发明实施例通过构建所述水务来源的监测传感器,同时保障后续通过对水务数据进行详尽的数据分析,从而建立完善的智慧管理平台,并且通过在线上实现对数据的管控,提升水务管控的及时性。It can be seen that the embodiment of the present invention first obtains the water source to obtain water data in different types of waters, and further, the embodiment of the present invention constructs the monitoring sensor of the water source, and at the same time ensures the subsequent monitoring of the water source. Detailed data analysis of the data, so as to establish a comprehensive intelligent management platform, and realize the management and control of data online, and improve the timeliness of water management and control.
进一步地,本发明实施例通过配置所述水务对象与所述限流水务数据中每个数据的关系映射表,以可以快速匹配所述限流水务数据对应的可视化图形,构建所述水务来源的可视化视图。Further, in the embodiment of the present invention, by configuring the relationship mapping table between the water service object and each data in the flow-limited water service data, the visual graph corresponding to the flow-limited water service data can be quickly matched, and the source of the water service is constructed. Visualization view.
如图4所示,是本发明智慧水务云服务方法系统装置功能模块图。As shown in Figure 4, it is a functional block diagram of the smart water cloud service method system device of the present invention.
本发明所述智慧水务云服务方法系统装置400可以安装于电子设备中。根据实现的功能,所述智慧水务云服务方法系统装置可以水务数据传输模块401、水务数据分类模块402、水务数据限流模块403以及可视化视图构建模块404。本发明所述模块也可以称之为单元,是指一种能够被电子设备处理器所执行,并且能够完成固定功能的一系列计算机程序段,其存储在电子设备的存储器中。The smart water cloud service
在本发明实施例中,关于各模块/单元的功能如下:In the embodiment of the present invention, the functions of each module/unit are as follows:
所述水务数据传输模块401,用于获取水务来源,构建所述水务来源的监测传感器,利用所述监测传感器对水务数据进行采集,得到采集水务数据,配置所述采集水务数据的数据传输方法,利用所述数据传输方法将所述采集水务数据传输至云端;The water affairs
所述水务数据分类模块402,用于在所述云端中利用大数据技术抽取所述采集水务数据中的目标水务数据,对所述目标水务数据进行分类处理,得到分类水务数据;The water
所述水务数据限流模块403,用于在所述云端中配置所述分类水务数据的缓存空间,并将所述分类水务数据加载至缓存空间中,以通过所述缓存空间对所述分类水务数据进行限流,得到限流水务数据;The water data current limiting
所述可视化视图构建模块404,用于查询所述限流水务数据中每个数据的水务对象,并配置所述水务对象与所述限流水务数据中每个数据的关系映射表,根据所述关系映射表,构建所述水务来源的可视化视图。The visual
详细地,本发明实施例中所述智慧水务云服务方法系统装置400中的所述各模块在使用时采用与上述的图1至图3中所述的智慧水务云服务方法一样的技术手段,并能够产生相同的技术效果,这里不再赘述。In detail, the modules in the smart water cloud service
如图5所示,是本发明实现智慧水务云服务方法的电子设备的结构示意图。As shown in FIG. 5 , it is a schematic structural diagram of an electronic device implementing a smart water cloud service method according to the present invention.
所述电子设备可以包括处理器50、存储器51、通信总线52以及通信接口53,还可以包括存储在所述存储器51中并可在所述处理器50上运行的计算机程序,如智慧水务云服务方法系统程序。The electronic device may include a
其中,所述处理器50在一些实施例中可以由集成电路组成,例如可以由单个封装的集成电路所组成,也可以是由多个相同功能或不同功能封装的集成电路所组成,包括一个或者多个中央处理器(Central Processing unit,CPU)、微处理器、数字处理芯片、图形处理器及各种控制芯片的组合等。所述处理器50是所述电子设备的控制核心(ControlUnit),利用各种接口和线路连接整个电子设备的各个部件,通过运行或执行存储在所述存储器51内的程序或者模块(例如执行智慧水务云服务方法系统程序等),以及调用存储在所述存储器51内的数据,以执行电子设备的各种功能和处理数据。Wherein, the
所述存储器51至少包括一种类型的可读存储介质,所述可读存储介质包括闪存、移动硬盘、多媒体卡、卡型存储器(例如:SD或DX存储器等)、磁性存储器、磁盘、光盘等。所述存储器51在一些实施例中可以是电子设备的内部存储单元,例如该电子设备的移动硬盘。所述存储器51在另一些实施例中也可以是电子设备的外部存储设备,例如电子设备上配备的插接式移动硬盘、智能存储卡(Smart Media Card, SMC)、安全数字(Secure Digital,SD)卡、闪存卡(Flash Card)等。进一步地,所述存储器51还可以既包括电子设备的内部存储单元也包括外部存储设备。所述存储器51不仅可以用于存储安装于电子设备的应用软件及各类数据,例如数据库配置化连接程序的代码等,还可以用于暂时地存储已经输出或者将要输出的数据。The
所述通信总线52可以是外设部件互连标准(peripheral componentinterconnect,简称PCI)总线或扩展工业标准结构(extended industry standardarchitecture,简称EISA)总线等。该总线可以分为地址总线、数据总线、控制总线等。所述总线被设置为实现所述存储器51以及至少一个处理器50等之间的连接通信。The
所述通信接口53用于上述电子设备5与其他设备之间的通信,包括网络接口和用户接口。可选地,所述网络接口可以包括有线接口和/或无线接口(如WI-FI接口、蓝牙接口等),通常用于在该电子设备与其他电子设备之间建立通信连接。所述用户接口可以是显示器(Display)、输入单元(比如键盘(Keyboard)),可选地,所述用户接口还可以是标准的有线接口、无线接口。可选地,在一些实施例中,显示器可以是LED显示器、液晶显示器、触控式液晶显示器以及OLED(Organic Light-Emitting Diode,有机发光二极管)触摸器等。其中,显示器也可以适当的称为显示屏或显示单元,用于显示在电子设备中处理的信息以及用于显示可视化的用户界面。The
图5仅示出了具有部件的电子设备,本领域技术人员可以理解的是,图5示出的结构并不构成对所述电子设备的限定,可以包括比图示更少或者更多的部件,或者组合某些部件,或者不同的部件布置。Figure 5 only shows an electronic device with components, and those skilled in the art can understand that the structure shown in Figure 5 does not constitute a limitation to the electronic device, and may include fewer or more components than shown in the figure , or combinations of certain components, or different arrangements of components.
例如,尽管未示出,所述电子设备还可以包括给各个部件供电的电源(比如电池),优选地,电源可以通过电源管理装置与所述至少一个处理器50逻辑相连,从而通过电源管理装置实现充电管理、放电管理、以及功耗管理等功能。电源还可以包括一个或一个以上的直流或交流电源、再充电装置、电源故障检测电路、电源转换器或者逆变器、电源状态指示器等任意组件。所述电子设备还可以包括多种传感器、蓝牙模块、Wi-Fi模块等,在此不再赘述。For example, although not shown, the electronic device may also include a power supply (such as a battery) for supplying power to various components. Preferably, the power supply may be logically connected to the at least one
应该了解,所述实施例仅为说明之用,在专利发明范围上并不受此结构的限制。It should be understood that the embodiments are only for illustration, and are not limited by the structure in the scope of the patented invention.
所述电子设备中的所述存储器51存储的数据库配置化连接程序是多个计算机程序的组合,在所述处理器50中运行时,可以实现:The database configuration connection program stored in the
获取水务来源,构建所述水务来源的监测传感器,利用所述监测传感器对水务数据进行采集,得到采集水务数据,配置所述采集水务数据的数据传输方法,利用所述数据传输方法将所述采集水务数据传输至云端;Obtain the source of water affairs, construct a monitoring sensor for the water affairs source, use the monitoring sensor to collect water affairs data, obtain the collected water affairs data, configure the data transmission method for collecting the water affairs data, and use the data transmission method to transfer the collected Water data transmission to the cloud;
在所述云端中利用大数据技术抽取所述采集水务数据中的目标水务数据,对所述目标水务数据进行分类处理,得到分类水务数据;Using big data technology in the cloud to extract target water data in the collected water data, classify the target water data, and obtain classified water data;
在所述云端中配置所述分类水务数据的缓存空间,并将所述分类水务数据加载至缓存空间中,以通过所述缓存空间对所述分类水务数据进行限流,得到限流水务数据;Configuring a cache space for the classified water data in the cloud, and loading the classified water data into the cache space, so as to limit the flow of the classified water data through the cache space, and obtain the flow-limited water data;
查询所述限流水务数据中每个数据的水务对象,并配置所述水务对象与所述限流水务数据中每个数据的关系映射表,根据所述关系映射表,构建所述水务来源的可视化视图。Query the water object of each data in the current-limited water data, and configure the relationship mapping table between the water object and each data in the current-limited water data, and construct the source of the water according to the relationship mapping table Visualization view.
具体地,所述处理器50对上述计算机程序的具体实现方法可参考图1对应实施例中相关步骤的描述,在此不赘述。Specifically, for a specific implementation method of the above-mentioned computer program by the
进一步地,所述电子设备集成的模块/单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时,可以存储在一个非易失性计算机可读取存储介质中。所述存储介质可以是易失性的,也可以是非易失性的。例如,所述计算机可读介质可以包括:能够携带所述计算机程序代码的任何实体或装置、记录介质、U盘、移动硬盘、磁碟、光盘、计算机存储器、只读存储器(ROM,Read-Only Memory)。Furthermore, if the integrated modules/units of the electronic equipment are realized in the form of software function units and sold or used as independent products, they may be stored in a non-volatile computer-readable storage medium. The storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, removable hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory).
本发明还提供一种存储介质,所述可读存储介质存储有计算机程序,所述计算机程序在被电子设备的处理器所执行时,可以实现:The present invention also provides a storage medium, the readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, it can realize:
获取水务来源,构建所述水务来源的监测传感器,利用所述监测传感器对水务数据进行采集,得到采集水务数据,配置所述采集水务数据的数据传输方法,利用所述数据传输方法将所述采集水务数据传输至云端;Obtain the source of water affairs, construct a monitoring sensor for the water affairs source, use the monitoring sensor to collect water affairs data, obtain the collected water affairs data, configure the data transmission method for collecting the water affairs data, and use the data transmission method to transfer the collected Water data transmission to the cloud;
在所述云端中利用大数据技术抽取所述采集水务数据中的目标水务数据,对所述目标水务数据进行分类处理,得到分类水务数据;Using big data technology in the cloud to extract target water data in the collected water data, classify the target water data, and obtain classified water data;
在所述云端中配置所述分类水务数据的缓存空间,并将所述分类水务数据加载至缓存空间中,以通过所述缓存空间对所述分类水务数据进行限流,得到限流水务数据;Configuring a cache space for the classified water data in the cloud, and loading the classified water data into the cache space, so as to limit the flow of the classified water data through the cache space, and obtain the flow-limited water data;
查询所述限流水务数据中每个数据的水务对象,并配置所述水务对象与所述限流水务数据中每个数据的关系映射表,根据所述关系映射表,构建所述水务来源的可视化视图。Query the water object of each data in the current-limited water data, and configure the relationship mapping table between the water object and each data in the current-limited water data, and construct the source of the water according to the relationship mapping table Visualization view.
在本发明所提供的几个实施例中,应该理解到,所揭露的设备,装置和方法,可以通过其它的方式实现。例如,以上所描述的装置实施例仅仅是示意性的,例如,所述模块的划分,仅仅为一种逻辑功能划分,实际实现时可以有另外的划分方式。In the several embodiments provided by the present invention, it should be understood that the disclosed devices, devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.
所述作为分离部件说明的模块可以是或者也可以不是物理上分开的,作为模块显示的部件可以是或者也可以不是物理单元,即可以位于一个地方,或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
另外,在本发明各个实施例中的各功能模块可以集成在一个处理单元中,也可以是各个单元单独物理存在,也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现,也可以采用硬件加软件功能模块的形式实现。In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may physically exist separately, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware, or in the form of hardware plus software function modules.
对于本领域技术人员而言,显然本发明不限于上述示范性实施例的细节,而且在不背离本发明的精神或基本特征的情况下,能够以其他的具体形式实现本发明。It will be apparent to those skilled in the art that the invention is not limited to the details of the above-described exemplary embodiments, but that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention.
因此,无论从哪一点来看,均应将实施例看作是示范性的,而且是非限制性的,本发明的范围由所附权利要求而不是上述说明限定,因此旨在将落在权利要求的等同要件的含义和范围内的所有变化涵括在本发明内。不应将权利要求中的任何附关联图标记视为限制所涉及的权利要求。Accordingly, the embodiments should be regarded in all points of view as exemplary and not restrictive, the scope of the invention being defined by the appended claims rather than the foregoing description, and it is therefore intended that the scope of the invention be defined by the appended claims rather than by the foregoing description. All changes within the meaning and range of equivalents of the elements are embraced in the present invention. Any reference sign in a claim should not be construed as limiting the claim concerned.
需要说明的是,在本文中,诸如“第一”和“第二”等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来,而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。It should be noted that in this article, relative terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply these No such actual relationship or order exists between entities or operations. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.
以上所述仅是本发明的具体实施方式,使本领域技术人员能够理解或实现本发明。对这些实施例的多种修改对本领域的技术人员来说将是显而易见的,本文中所定义的一般原理可以在不脱离本发明的精神或范围的情况下,在其它实施例中实现。因此,本发明将不会被限制于本文所示的这些实施例,而是要符合与本文所发明的原理和新颖特点相一致的最宽的范围。The above descriptions are only specific embodiments of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention will not be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.
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