CN112087486A - Data integration method, equipment and medium for Internet of things equipment - Google Patents

Data integration method, equipment and medium for Internet of things equipment Download PDF

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Publication number
CN112087486A
CN112087486A CN202010753939.0A CN202010753939A CN112087486A CN 112087486 A CN112087486 A CN 112087486A CN 202010753939 A CN202010753939 A CN 202010753939A CN 112087486 A CN112087486 A CN 112087486A
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data
internet
service system
attribute
things equipment
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CN202010753939.0A
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CN112087486B (en
Inventor
王力哲
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Inspur General Software Co Ltd
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Shandong Inspur Genersoft Information Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/56Provisioning of proxy services
    • H04L67/565Conversion or adaptation of application format or content
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y30/00IoT infrastructure
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

The invention relates to a data integration method, equipment and a medium of Internet of things equipment, wherein the method comprises the following steps: acquiring data sent by the Internet of things equipment through access rules respectively configured for each attribute of the Internet of things equipment; and splicing target data in the data according to the data format indicated by the service system so as to be used by the service system. The embodiment of the invention ensures that the business system developer can obtain the data conforming to the rule by directly using the configuration function without compiling a separate docking function code, thereby greatly improving the development efficiency and reducing the development workload.

Description

Data integration method, equipment and medium for Internet of things equipment
Technical Field
The invention relates to the technical field of Internet of things, in particular to a data integration method, equipment and a medium for Internet of things equipment.
Background
The data acquisition platform of the internet of things supports access to various devices, reads and operates device data, but formats adopted by a plurality of devices when the devices transmit data are not uniform, the formats can include JSON and XML, even custom packaging formats are included, and reading nodes of effective data are different. The data is directly read from the device and transmitted to the service system, which results in that the service system cannot identify the data and process the service. The data analysis modes of various manufacturers are different, and the equipment source needs to be judged, the data analysis code needs to be compiled, and great workload is generated.
Disclosure of Invention
The present invention is intended to solve the following technical problems at least to some extent.
Data transmission formats of internet of things equipment of different manufacturers are different, and a large amount of workload is caused by a code compiling and analyzing mode.
A first aspect of an embodiment of the present invention provides a data integration method for internet of things devices, including:
acquiring data sent by the Internet of things equipment through access rules respectively configured for each attribute of the Internet of things equipment;
and splicing target data in the data according to the data format indicated by the service system so as to be used by the service system.
The embodiment of the invention ensures that the business system developer can obtain the data conforming to the rule by directly using the configuration function without compiling a separate docking function code, thereby greatly improving the development efficiency and reducing the development workload.
In one example, in the access rule configured for each attribute of the internet of things device, the method for configuring the access rule includes:
determining the data format of the attribute, and configuring an expression for each data format, wherein the expression at least comprises one of the following: the expression based on JSONPATH used for processing JSON format data, the expression based on XPATH used for processing XML format data and the regular expression used for processing factory special packaging data format.
The embodiment of the invention reduces the workload of developers and improves the flexibility of data processing by setting the access rule expression of the mainstream data transmission format.
In one example, the splicing target data in the data according to a data format indicated by a service system for use by the service system includes:
and if the service system does not indicate the data format, splicing target data in the data through a preset default transmission format for the service system to use.
In one example, the splicing target data in the data according to a data format indicated by a service system for use by the service system includes:
determining the attribute to be changed according to the transmission structure defined in the indication of the service system;
and replacing the placeholder of the attribute needing to be changed so as to finish splicing the target data in the data.
According to the transmission structure body set by the business system, the changed attributes are not needed to be directly used, and the placeholders of the attributes to be changed are needed to be replaced, so that the data processing efficiency is improved.
In one example, the replacing placeholders for the property that needs to be changed includes:
and replacing the placeholder of the attribute needing to be changed by defining an attribute replacement expression.
The embodiment of the invention operates through the expression, thereby improving the working efficiency.
In one example, after completing the splicing of the target data in the data, the method further includes:
and determining whether the spliced target data contains wrong content or not by detecting the format and the attribute in the spliced target data.
The method improves the accuracy of the target data through detection.
In one example, further comprising:
defining attributes of the Internet of things equipment to determine data sent by the Internet of things equipment, wherein the attributes of the Internet of things equipment at least comprise one of the following: name, identification, data type, maximum limit, minimum limit, unit name, unit symbol, calculation formula and description.
In one example, further comprising:
and receiving data sent by the Internet of things equipment, wherein the data sent by the Internet of things equipment is uniform data of units processed by the calculation formula.
The embodiment of the invention sets the calculation formula in the attribute, can unify the information of different units and improves the working efficiency.
A second aspect of the embodiments of the present invention provides a data integration device for an internet of things device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring data sent by the Internet of things equipment through access rules respectively configured for each attribute of the Internet of things equipment;
and splicing target data in the data according to the data format indicated by the service system so as to be used by the service system.
The embodiment of the invention ensures that the business system developer can obtain the data conforming to the rule by directly using the configuration function without compiling a separate docking function code, thereby greatly improving the development efficiency and reducing the development workload.
A third aspect of the embodiments of the present invention provides a nonvolatile computer storage medium for data integration of internet of things devices, where computer-executable instructions are stored, where the computer-executable instructions are configured to:
acquiring data sent by the Internet of things equipment through access rules respectively configured for each attribute of the Internet of things equipment;
and splicing target data in the data according to the data format indicated by the service system so as to be used by the service system.
The embodiment of the invention ensures that the business system developer can obtain the data conforming to the rule by directly using the configuration function without compiling a separate docking function code, thereby greatly improving the development efficiency and reducing the development workload.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic flow chart of a method provided by an embodiment of the present invention;
fig. 2 is a schematic attribute diagram of an internet of things device according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a fetch rule according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an apparatus framework according to an embodiment of the present invention.
Detailed Description
In order to more clearly explain the overall concept of the present application, the following detailed description is given by way of example in conjunction with the accompanying drawings.
The internet of things system has been developed for a long time, various manufacturers produce own equipment, and no unified rule specification is formed in the initial stage, so that the manufacturers use the data formats selected by themselves, the used equipment is many, the iteration speed of products is not particularly high, the data formats in the later stage are not unified, and the data format conversion processing becomes the work which is not passed by all the internet of things systems when the different systems are docked. And because the data collected by different devices is different, formatting also has certain difficulty.
According to a first aspect of the embodiments of the present invention, the present invention provides a data integration method for an internet of things device, and fig. 1 is a schematic flow chart of the method provided by the embodiments of the present invention, as shown in the figure, the method includes:
s101, acquiring data sent by the Internet of things equipment through access rules respectively configured for each attribute of the Internet of things equipment;
s102, according to the data format indicated by the service system, splicing the target data in the data for the service system to use
The embodiment provided by the invention only needs simple steps of configuration, and can process various data which are collected from equipment and do not have the same rule into the format required by a service system, thereby reducing the workload of developers and improving the production efficiency.
The scheme provided by the embodiment of the invention mainly comprises three parts, namely attribute definition, access rule and transmission rule.
The method comprises the steps of firstly defining the attribute of equipment in a data acquisition platform of the Internet of things, wherein the attribute is the content which is really required to be displayed by a service system, taking the required data from the data transmitted by the equipment according to the access rule defined by each attribute when the attribute exists, and unifying the data into the unit required by the service system according to the calculation formula of the attribute.
Fig. 2 is a schematic diagram of attributes of internet-of-things devices according to an embodiment of the present invention, where as shown in fig. 2, an attribute is a content really needed by a user in data transmission of a device, and the same device has the same attribute, may include multiple attributes, and transmits a set of formatted attributes and attribute values when transmitting data to a service system.
The attributes include a name, an identification, a data type, a defined maximum value, a defined minimum value, a unit name, a unit symbol, a calculation formula, and a description as basic information. The data type, the maximum limit value and the minimum limit value are used for processing and analyzing data collected from equipment, the identification is used as a key value when the data are transmitted, other contents are used for displaying the data in the data collection platform of the Internet of things, a calculation formula adopts digital calculation, operations such as addition, subtraction, multiplication, division, power and the like are supported, the metering mode of the data can be changed according to user requirements, and the data are used for unifying calculation units and the like.
In some preferred embodiments of the present invention, the problem that attribute definition cannot handle some special requirements, such as splicing Chinese characters, is solved. The optimal scheme can use a simple code engine to modify a calculation formula, can splice Chinese characters, and judges data abnormity and the like according to specific conditions.
Fig. 3 is a schematic diagram of an access rule according to an embodiment of the present invention, where the access rule is used to parse data transmitted from a device. Configuring an expression of certain attribute, wherein the expression is written in different ways according to data formats. The current mainstream data formats are JSON and XML, the JSON and XML data are analyzed according to the defined access rule expression, and the data are analyzed in a regular expression compiling mode for the self-packaged format of a manufacturer. In some preferred embodiments of the present invention, regular SQL may also be used for replacement, JSON data and XML data may be simultaneously supported, and the present invention has universality.
In one example of the invention, the JSON formatted data is implemented using an open source of JSONPATH, which can find data and extract data from the JSON structure in a manner that configures expressions on the client, without the use of special scripts. The following is the JSONPATH operator:
"$" represents a pick from the root node.
"@" represents the current object.
"." or "[ ]" represents a child object.
".," represents the selection of nodes in a document from the current node of the matching selection, regardless of their location.
"[ start: end: step ]" represents the slicing array, start is the beginning, end is the end, and step is the step size.
"[? (< expression >) ] "represents that data is acquired using an expression, and the expression is a set of the above symbols.
In one example of the present invention, the XML formatted data is implemented using an open source of XPATH, which can find data and extract data from XML structures in a manner that configures expressions on the client, without the use of special scripts. The following is an XPATH operator:
"/" stands for pick from the root node.
"." represents the current object.
The "/" after the "/" root node represents the selection of a child node.
"/" represents the selection of nodes in the document from the current node of the matching selection, regardless of their location.
".," represents the parent node that selects the current node.
"@" represents a node that selects an XML attribute as the following content.
In one example of the invention, the particular format of the factory package reads the data using regular expressions. The regular expression is a logic formula for operating on character strings, namely, specific characters defined in advance and a combination of the specific characters are used for forming a 'regular character string', and the 'regular character string' is used for expressing a filtering logic for the character strings. Only the regular operations commonly used to obtain data have been listed below:
"x" matches the preceding sub-expression any number of times.
"+" matches the previous sub-expression one or more times (1 or more).
"? "match the previous sub-expression zero or one time.
"(.
"(.
"(.
"(.
"(? < | pattern)" is a non-acquisition match, a negative look-ahead in the reverse direction, similar to a negative look-ahead in the forward direction, but in the opposite direction.
When the business system displays data, the data can be correctly fetched and displayed only when the data meets the format required by the business system, so that the values of different attributes are spliced into the format required by the original function through the transmission rule, and the use of the business system is directly met.
The transmission rule is used for splicing transmission data, a JSON format is used by default, the attribute and the attribute value are transmitted, and if the butt-jointed service system has special requirements, the data content can be customized. The transmission rule adopts a rule replacement mode to support common character string replacement and regular expression replacement.
When a service system has special requirements, the method is realized by defining a main structure body, specifically, a data transmission structure body is filled in firstly, the content which does not need to be changed is filled in directly, and the content which needs to be subjected to attribute replacement is replaced by using a placeholder of $ { attribute name }.
In some preferred embodiments of the present invention, placeholder replacements may replace expressions by defining attributes. The attribute replacement defaults to replace the placeholder of $ { attribute name }, replacement expressions such as regular expressions can be written for replacement, multiple replacement is carried out, and each attribute can be replaced independently.
In some preferred embodiments of the present invention, in order to solve the problem that the transmission rule is only to replace the template after data acquisition, the correctness of the template cannot be checked, and if the configuration is wrong, the template cannot be used when being transmitted to the service system. The method and the device automatically identify the formats and attributes of JSON, XML and other data, determine whether the spliced target data contains wrong content or not according to whether the characters have errors or not and whether the characters contain attribute values, and prompt the wrong content if the spliced target data contains the wrong content.
Based on the same idea, the embodiment of the present invention further provides a device and a non-volatile computer storage medium corresponding to the above method.
Fig. 4 is a schematic diagram of an apparatus framework according to an embodiment of the present invention. As shown in fig. 4, the data integration device of the internet of things device includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring data sent by the Internet of things equipment through access rules respectively configured for each attribute of the Internet of things equipment;
and splicing target data in the data according to the data format indicated by the service system so as to be used by the service system.
An embodiment of the present invention further provides a non-volatile computer storage medium for data integration of an internet of things device corresponding to the method shown in fig. 1, where computer-executable instructions are stored, and the computer-executable instructions are configured to:
acquiring data sent by the Internet of things equipment through access rules respectively configured for each attribute of the Internet of things equipment;
and splicing target data in the data according to the data format indicated by the service system so as to be used by the service system.
The embodiments of the present invention are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment is described with emphasis on differences from other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the application.

Claims (10)

1. A data integration method for Internet of things equipment is characterized by comprising the following steps:
acquiring data sent by the Internet of things equipment through access rules respectively configured for each attribute of the Internet of things equipment;
and splicing target data in the data according to the data format indicated by the service system so as to be used by the service system.
2. The method according to claim 1, wherein the method for configuring the access rule comprises, in the access rules respectively configured for each attribute of the internet of things device:
determining the data format of the attribute, and configuring an expression for each data format, wherein the expression at least comprises one of the following: the expression based on JSONPATH used for processing JSON format data, the expression based on XPATH used for processing XML format data and the regular expression used for processing factory special packaging data format.
3. The method of claim 1, wherein the splicing target data in the data according to a data format indicated by a service system for use by the service system comprises:
and if the service system does not indicate the data format, splicing target data in the data through a preset default transmission format for the service system to use.
4. The method of claim 1, wherein the splicing target data in the data according to a data format indicated by a service system for use by the service system comprises:
determining the attribute to be changed according to the transmission structure defined in the indication of the service system;
and replacing the placeholder of the attribute needing to be changed so as to finish splicing the target data in the data.
5. The method of claim 4, wherein replacing the placeholder for the property that needs to be changed comprises:
and replacing the placeholder of the attribute needing to be changed by defining an attribute replacement expression.
6. The method of claim 4, wherein after completing the splicing of the target data in the data, further comprising:
and determining whether the spliced target data contains wrong content or not by detecting the format and the attribute in the spliced target data.
7. The method of claim 1, further comprising:
defining attributes of the Internet of things equipment to determine data sent by the Internet of things equipment, wherein the attributes of the Internet of things equipment at least comprise one of the following: name, identification, data type, maximum limit, minimum limit, unit name, unit symbol, calculation formula and description.
8. The method of claim 7, further comprising:
and receiving data sent by the Internet of things equipment, wherein the data sent by the Internet of things equipment is uniform data of units processed by the calculation formula.
9. The utility model provides a data integration equipment of thing networking device which characterized in that includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring data sent by the Internet of things equipment through access rules respectively configured for each attribute of the Internet of things equipment;
and splicing target data in the data according to the data format indicated by the service system so as to be used by the service system.
10. A non-transitory computer storage medium for data integration of internet of things devices, storing computer-executable instructions configured to:
acquiring data sent by the Internet of things equipment through access rules respectively configured for each attribute of the Internet of things equipment;
and splicing target data in the data according to the data format indicated by the service system so as to be used by the service system.
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Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102457475A (en) * 2010-10-15 2012-05-16 中国人民解放军国防科学技术大学 Integration and conversion system for network security data
CN103116620A (en) * 2013-01-29 2013-05-22 中国电力科学研究院 Unstructured data safe filtering method based on strategy
US20150324358A1 (en) * 2014-05-12 2015-11-12 Aviad Gilady Systems and methods to automatically suggest elements for a content aggregation system
CN105868311A (en) * 2016-03-25 2016-08-17 浪潮通信信息系统有限公司 Data analyzing method and device
CN106649212A (en) * 2016-09-12 2017-05-10 济南浪潮高新科技投资发展有限公司 Business data processing method and device
CN107545008A (en) * 2016-06-27 2018-01-05 五八同城信息技术有限公司 The call format storage method and device of data
CN107766466A (en) * 2017-09-29 2018-03-06 上海望友信息科技有限公司 Recognition methods, system, computer-readable recording medium and the equipment of data type
CN108804327A (en) * 2018-06-12 2018-11-13 北京京东金融科技控股有限公司 A kind of method and apparatus of automatic Data Generation Test
CN109558443A (en) * 2018-11-29 2019-04-02 北京数聚鑫云信息技术有限公司 A kind of method and device of data in integrated data sources
CN109766483A (en) * 2018-12-28 2019-05-17 平安科技(深圳)有限公司 Regular expression generation method, device, computer equipment and storage medium
CN110502425A (en) * 2019-06-28 2019-11-26 平安银行股份有限公司 Test data generating method, device, electronic equipment and storage medium
CN110532536A (en) * 2019-08-30 2019-12-03 深圳前海微众银行股份有限公司 A kind of rule configuration method and device
CN110661820A (en) * 2019-12-02 2020-01-07 武汉慧联无限科技有限公司 Internet of things data processing method and device, equipment and storage medium
CN110782169A (en) * 2019-10-29 2020-02-11 中国联合网络通信集团有限公司 Method and device for updating business process
CN111083225A (en) * 2019-12-19 2020-04-28 远景智能国际私人投资有限公司 Data processing method and device in Internet of things platform and Internet of things platform

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102457475A (en) * 2010-10-15 2012-05-16 中国人民解放军国防科学技术大学 Integration and conversion system for network security data
CN103116620A (en) * 2013-01-29 2013-05-22 中国电力科学研究院 Unstructured data safe filtering method based on strategy
US20150324358A1 (en) * 2014-05-12 2015-11-12 Aviad Gilady Systems and methods to automatically suggest elements for a content aggregation system
CN105868311A (en) * 2016-03-25 2016-08-17 浪潮通信信息系统有限公司 Data analyzing method and device
CN107545008A (en) * 2016-06-27 2018-01-05 五八同城信息技术有限公司 The call format storage method and device of data
CN106649212A (en) * 2016-09-12 2017-05-10 济南浪潮高新科技投资发展有限公司 Business data processing method and device
CN107766466A (en) * 2017-09-29 2018-03-06 上海望友信息科技有限公司 Recognition methods, system, computer-readable recording medium and the equipment of data type
CN108804327A (en) * 2018-06-12 2018-11-13 北京京东金融科技控股有限公司 A kind of method and apparatus of automatic Data Generation Test
CN109558443A (en) * 2018-11-29 2019-04-02 北京数聚鑫云信息技术有限公司 A kind of method and device of data in integrated data sources
CN109766483A (en) * 2018-12-28 2019-05-17 平安科技(深圳)有限公司 Regular expression generation method, device, computer equipment and storage medium
CN110502425A (en) * 2019-06-28 2019-11-26 平安银行股份有限公司 Test data generating method, device, electronic equipment and storage medium
CN110532536A (en) * 2019-08-30 2019-12-03 深圳前海微众银行股份有限公司 A kind of rule configuration method and device
CN110782169A (en) * 2019-10-29 2020-02-11 中国联合网络通信集团有限公司 Method and device for updating business process
CN110661820A (en) * 2019-12-02 2020-01-07 武汉慧联无限科技有限公司 Internet of things data processing method and device, equipment and storage medium
CN111083225A (en) * 2019-12-19 2020-04-28 远景智能国际私人投资有限公司 Data processing method and device in Internet of things platform and Internet of things platform

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