CN113064891A - System and method for calculating and managing space-time data of internet of things - Google Patents
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Abstract
The invention provides a system and a method for computing and managing space-time data of an internet of things, which comprises a data source management module: the system is used for adding, modifying, deleting and inquiring external data source information, and accessing and storing data of the external data source into the data lake; a real-time data access module: the definition is used for sensing metadata by the equipment, and real-time data is analyzed and stored in a data lake for gathering according to the definition; the data lake management module: the storage area comprises a hot data area based on a time sequence database, a cold data area based on a non-relational database and a data warehouse based on a distributed relational database; a fusion analysis module: the method is used for data fusion analysis of a data warehouse in the data lake, and fusion analysis results are stored in the data warehouse. The invention realizes the uniform access of the sensing data of the mass heterogeneous equipment. And fusion analysis of equipment data, public data and enterprise data is realized through the data fusion analysis module.
Description
Technical Field
The invention relates to the field of Internet of things platforms, in particular to a system and a method for computing and managing space-time data of an Internet of things.
Background
In a new era, a new generation of information communication technology represented by the internet of things, big data, cloud computing and artificial intelligence is developed rapidly, the application of the internet of things shows an explosive trend through continuous fusion of the internet of things technology and other new technologies, information sharing of people, machines and things is further realized, and a more compact information flowing ecosystem is formed between an information world and a physical world. The internet of things is interconnected, data has typical characteristics such as heterogeneity, massiveness and instantaneity, and a new distributed storage architecture and a real-time flow processing framework need to be designed in order to perform effective batch analysis, real-time analysis and real-time display on collected internet of things equipment data.
The traditional data analysis of the internet of things has incomplete input access function on one hand and weak data management capability on the other hand.
The invention patent with patent document CN201310136489.0 discloses a method for managing platform data of an Internet of things, and relates to a method for managing platform data of an Internet of things. The Internet of things platform data management method comprises the following steps: the method comprises the steps of obtaining communication protocol standards adopted by uploaded data of managed objects of each entity in advance; receiving data uploaded by managed objects of all entities; analyzing the uploaded data according to a communication protocol standard adopted by each entity managed object to upload the data; storing the analyzed data to an application database, establishing a virtual management unit of a managed object of each entity, calling the data in the application database, and performing data management by taking the management unit as a unit. The data management method of the Internet of things platform performs compatible processing on the data which are uploaded by different managed objects and adopt different communication protocols, does not need to adopt a plurality of sets of management systems due to diversification of a sensing layer and a network layer, and is more convenient. However, the above scheme only relates to the access of device data, and does not consider the access of external data in a smart city scene, such as public data and enterprise data.
The invention patent with patent document CN202011059585.6 discloses a data management method and system based on the Internet of things, which comprises the following steps: the method comprises the steps that a communication protocol and a communication protocol are preset in a control terminal of a digital entertainment place, and the control terminal is connected with more than two heterogeneous electronic terminals in the digital entertainment place through a communication interface or the communication protocol; the control terminal is connected with the cloud server; the control terminal collects the data of the connected heterogeneous electronic terminal through the communication protocol and sends the data to the cloud server, wherein the data of the heterogeneous electronic terminal comprises any one or more of operation logs, error reporting warnings and configuration information; and the cloud server stores and analyzes the data of the heterogeneous electronic terminal and sends the information and/or the analysis result to the mobile terminal. The invention is convenient for the manager of the digital entertainment place to timely master the operation conditions of various heterogeneous electronic terminals in the place and timely process the operation conditions. But the scheme is difficult to satisfy the scenes of mass data of smart cities.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a system and a method for calculating and managing space-time data of an internet of things.
The invention provides an internet of things space-time data calculation and management system, which comprises the following modules:
the data source management module: the system is used for adding, modifying, deleting and inquiring external data source information, and accessing and storing data of the external data source into the data lake;
a real-time data access module: the definition is used for sensing metadata by the equipment, and real-time data is analyzed and stored in a data lake for gathering according to the definition;
the data lake management module: the storage area comprises a hot data area based on a time sequence database, a cold data area based on a non-relational database and a data warehouse based on a distributed relational database;
a fusion analysis module: the method is used for data fusion analysis of a data warehouse in the data lake, and fusion analysis results are stored in the data warehouse.
Preferably, the external data source comprises structured data, semi-structured data, unstructured data.
Preferably, the structured data comprises MySQL, Oracle;
semi-structured data includes MongoDB, Redis;
the unstructured data comprises pictures and videos.
Preferably, the language in which the analytics data are fused comprises SQL or Python.
Preferably, the real-time data access module comprises the following modules:
a message middleware module: for receiving sensory data from a device;
a perceptual metadata management module: a metadata structure for defining sensory data in the message middleware module;
a real-time data scheduling module: and the system is used for analyzing the perception data in the message middleware according to the metadata structure defined by the perception metadata management module and storing the perception data in the data lake.
The invention provides a method for calculating and managing space-time data of an internet of things, which comprises the following steps:
a data source management step: the system is used for adding, modifying, deleting and inquiring external data source information, and accessing and storing data of the external data source into the data lake;
accessing real-time data: the definition is used for sensing metadata by the equipment, and real-time data is analyzed and stored in a data lake for gathering according to the definition;
a data lake management step: the storage area comprises a hot data area based on a time sequence database, a cold data area based on a non-relational database and a data warehouse based on a distributed relational database;
a fusion analysis step: the method is used for data fusion analysis of a data warehouse in the data lake, and fusion analysis results are stored in the data warehouse.
Preferably, the external data source comprises structured data, semi-structured data, unstructured data.
Preferably, the structured data comprises MySQL, Oracle;
semi-structured data includes MongoDB, Redis;
the unstructured data comprises pictures and videos.
Preferably, the language in which the analytics data are fused comprises SQL or Python.
Preferably, the real-time data accessing step includes the steps of:
message middleware step: for receiving sensory data from a device;
perception metadata management step: a metadata structure for defining the sensing data in the message middleware step;
real-time data scheduling step: and the system is used for analyzing the perception data in the message middleware according to the metadata structure defined by the perception metadata management step and storing the perception data in the data lake.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention shields the heterogeneity of different equipment protocols based on the distributed deployed message middleware, and realizes the uniform access of the perception data of massive heterogeneous equipment by analyzing the perception data of the message middleware through the predefined perception metadata.
2. The invention realizes the unified access of structured, semi-structured and unstructured external data (public data and enterprise data) based on the heterogeneous data acquisition access module, and realizes the fusion analysis of the equipment data, the public data and the enterprise data through the data fusion analysis module after accessing the equipment data and the external data.
3. The invention can realize deep mining of data value.
4. According to the characteristics of large data volume and strong timeliness of the smart city Internet of things, cold and hot data areas are arranged in the data lake, and cold and hot data are automatically scheduled.
5. According to the invention, multi-channel data fusion analysis is realized through data acquisition access of an external data source, and data management of mass equipment in the smart city can be satisfied based on the distributed message middleware.
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Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a system diagram of an IOT spatio-temporal data calculation and management system according to the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
As shown in fig. 1, the system and method for computing and managing space-time data of an internet of things provided by the present invention, especially the system and method for computing and managing space-time data of an internet of things applied to smart city operation management, includes:
the data source management module is used for adding, modifying, deleting and inquiring external data source information, accessing and storing data of an external data source into a data lake, and then performing fusion analysis, wherein the data source management module comprises structured data (MySQL, Oracle and the like), semi-structured data (MongoDB, Redis and the like), and unstructured data (pictures, videos and the like);
and the real-time data access module is used for defining the equipment sensing metadata, analyzing the real-time data according to the definition, storing the real-time data in a data lake for gathering, and then performing fusion analysis.
The data lake management module is used for uniformly storing data and comprises a hot data area based on a time sequence database, a cold data area based on a non-relational database and a data warehouse based on a distributed relational database;
and the fusion analysis module is used for data fusion analysis of the data warehouse in the data lake, supports multiple languages such as SQL, Python and the like, and stores fusion analysis results in the data warehouse.
Wherein: the real-time data access module comprises the following modules:
a message middleware module for receiving perception data from a device;
and the perception metadata management module is used for defining a metadata structure of the perception data in the message middleware module.
And the real-time data scheduling module is used for analyzing the sensing data in the message middleware according to the metadata structure defined by the sensing metadata management module and storing the sensing data in the data lake.
The invention also provides a method for calculating and managing the space-time data of the Internet of things, which comprises the following steps:
a data source management step: the system is used for adding, modifying, deleting and inquiring external data source information, and accessing and storing data of the external data source into the data lake;
accessing real-time data: the definition is used for sensing metadata by the equipment, and real-time data is analyzed and stored in a data lake for gathering according to the definition;
a data lake management step: the storage area comprises a hot data area based on a time sequence database, a cold data area based on a non-relational database and a data warehouse based on a distributed relational database;
a fusion analysis step: the method is used for data fusion analysis of a data warehouse in the data lake, and fusion analysis results are stored in the data warehouse.
The following are further illustrated by the specific examples:
city internet of things data situation: the method comprises the steps that equipment manufacturers or equipment management systems push equipment sensing data of all regions of a city to a message middleware module in real time, a metadata structure of each type of equipment data is defined in the sensing metadata management module, the data can be dispatched to a data lake from the message middleware module after a scheduling parameter is configured in a real-time data dispatching module, equipment information data are accessed through a data source management module and collected to the data lake, SQL scripts are compiled in a fusion analysis module to clean and process the equipment sensing data and the equipment information in the data lake, statistical analysis is carried out according to the regions, equipment types and equipment scenes, and situation display of the internet of things sensing data of all regions of the city can be achieved.
The invention shields the heterogeneity of different equipment protocols based on the distributed deployed message middleware, and realizes the uniform access of the perception data of massive heterogeneous equipment by analyzing the perception data of the message middleware through the predefined perception metadata. Based on the heterogeneous data acquisition access module, unified access of structured, semi-structured and unstructured external data, such as public data and enterprise data, is realized, and after the equipment data and the external data are accessed, fusion analysis of the equipment data, the public data and the enterprise data is realized through the data fusion analysis module.
Those skilled in the art will appreciate that, in addition to implementing the system and its various devices, modules, units provided by the present invention as pure computer readable program code, the system and its various devices, modules, units provided by the present invention can be fully implemented by logically programming method steps in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system and various devices, modules and units thereof provided by the invention can be regarded as a hardware component, and the devices, modules and units included in the system for realizing various functions can also be regarded as structures in the hardware component; means, modules, units for performing the various functions may also be regarded as structures within both software modules and hardware components for performing the method.
In the description of the present application, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the present application and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present application.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (10)
1. An internet of things space-time data calculation and management system is characterized by comprising the following modules:
the data source management module: the system is used for adding, modifying, deleting and inquiring external data source information, and accessing and storing data of the external data source into the data lake;
a real-time data access module: the definition is used for sensing metadata by the equipment, and real-time data is analyzed and stored in a data lake for gathering according to the definition;
the data lake management module: the storage area comprises a hot data area based on a time sequence database, a cold data area based on a non-relational database and a data warehouse based on a distributed relational database;
a fusion analysis module: the method is used for data fusion analysis of a data warehouse in the data lake, and fusion analysis results are stored in the data warehouse.
2. The system for computation and management of spatio-temporal data of an internet of things of claim 1, wherein the external data sources comprise structured data, semi-structured data, unstructured data.
3. The system for computation and management of spatiotemporal data of an Internet of things as claimed in claim 2,
the structured data comprises MySQL and Oracle;
semi-structured data includes MongoDB, Redis;
the unstructured data comprises pictures and videos.
4. The system for computation and management of spatiotemporal data of an internet of things as claimed in claim 1, wherein the language of the fused analytic data comprises SQL or Python.
5. The system for computation and management of spatiotemporal data of an internet of things as claimed in claim 1, wherein the real-time data access module comprises the following modules:
a message middleware module: for receiving sensory data from a device;
a perceptual metadata management module: a metadata structure for defining sensory data in the message middleware module;
a real-time data scheduling module: and the system is used for analyzing the perception data in the message middleware according to the metadata structure defined by the perception metadata management module and storing the perception data in the data lake.
6. A method for calculating and managing space-time data of an internet of things is characterized by comprising the following steps:
a data source management step: the system is used for adding, modifying, deleting and inquiring external data source information, and accessing and storing data of the external data source into the data lake;
accessing real-time data: the definition is used for sensing metadata by the equipment, and real-time data is analyzed and stored in a data lake for gathering according to the definition;
a data lake management step: the storage area comprises a hot data area based on a time sequence database, a cold data area based on a non-relational database and a data warehouse based on a distributed relational database;
a fusion analysis step: the method is used for data fusion analysis of a data warehouse in the data lake, and fusion analysis results are stored in the data warehouse.
7. The method for computation and management of online spatiotemporal data according to claim 6, characterized in that the external data sources comprise structured data, semi-structured data, unstructured data.
8. The method for computing and managing spatiotemporal data of an Internet of things according to claim 7,
the structured data comprises MySQL and Oracle;
semi-structured data includes MongoDB, Redis;
the unstructured data comprises pictures and videos.
9. The method for computing and managing space-time data of an internet of things as claimed in claim 6, wherein the language for fusing the analytic data includes SQL or Python.
10. The method for computing and managing space-time data of an internet of things as claimed in claim 6, wherein the real-time data accessing step comprises the steps of:
message middleware step: for receiving sensory data from a device;
perception metadata management step: a metadata structure for defining the sensing data in the message middleware step;
real-time data scheduling step: and the system is used for analyzing the perception data in the message middleware according to the metadata structure defined by the perception metadata management step and storing the perception data in the data lake.
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