CN117014529A - Universal analysis device and method for terminal equipment data - Google Patents

Universal analysis device and method for terminal equipment data Download PDF

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Publication number
CN117014529A
CN117014529A CN202310880093.0A CN202310880093A CN117014529A CN 117014529 A CN117014529 A CN 117014529A CN 202310880093 A CN202310880093 A CN 202310880093A CN 117014529 A CN117014529 A CN 117014529A
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data
analysis
protocol
unit
algorithm
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王天一
杜婉婧
刘伟超
田春雨
句秋月
毕志勇
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Hangzhou Xixiu Fanzai Computing Technology Co ltd
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Hangzhou Xixiu Fanzai Computing Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/22—Parsing or analysis of headers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/08—Protocols for interworking; Protocol conversion

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer Security & Cryptography (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Computer And Data Communications (AREA)

Abstract

The application provides a general analysis device and method for terminal equipment data, wherein the device comprises the following components: the first module comprises a data analysis protocol input unit and a data storage unit, wherein a user inputs a data format on a configuration page, abstracts an analysis protocol into a unified analysis data structure and stores the analysis data structure in a database; the second module comprises a protocol matching unit and an algorithm analysis unit, wherein the protocol matching unit matches a unique data analysis protocol from a database according to the equipment ID of the received data, and the algorithm analysis unit converts the data analysis protocol into a data format required by a user through a corresponding analysis algorithm; the third module comprises a data storage unit and a data pushing unit, wherein the data storage unit is used for storing the analyzed data into a database, and the data pushing unit is used for pushing the analyzed data to the display page. The application has good maintainability and expandability.

Description

Universal analysis device and method for terminal equipment data
Technical Field
The application relates to the technical field of data processing, in particular to a device and a method for general analysis of terminal equipment data.
Background
The industrial Internet of things service platform is a cloud platform supporting the Internet of things technology and aims to provide comprehensive Internet of things solutions and services for industrial users. The system is a platform integrating the technologies of the Internet of things, cloud computing, big data analysis and the like, and can interconnect and communicate information of sensors, equipment, systems and the like and share the data, so that the efficiency and quality of industrial production are improved, and enterprises are helped to realize digital transformation. In the field of industrial Internet of things, an industrial Internet of things service platform is used as a cloud platform for data acquisition, storage and display, and needs to be connected with various data sources, wherein the data sources of terminal equipment are the most common. However, many terminal devices have limited resources and cannot directly transmit data in formats such as JSON, XML, CSV, so that in order to reduce the data transmission amount and improve the transmission efficiency, hexadecimal data is often selected for transmission, and after receiving hexadecimal data, an industrial internet of things service platform needs to analyze the data and convert the data into decimal data which can be understood by people for storage for subsequent use.
In most industrial internet of things service platforms, a service similar to "device data parsing" is provided. And writing a self-defined analysis script by a user according to the defined data analysis protocol, and converting the original data of the equipment into the data template analysis data defined by the product. However, this form has the following drawbacks: on one hand, because of different types of terminal equipment data and different analysis protocols, an analysis script is required to be independently written, and the workload is difficult to measure for a platform accessed into a mass terminal; on the other hand, certain software development capability is required for writing the analysis script, which is not friendly to business personnel; in addition, when the subsequent data is changed, the form of re-issuing the script is required to be rewritten, and the maintainability and the expandability are not strong enough.
Disclosure of Invention
Aiming at the defects in the prior art, the application aims to provide a general analysis device and method for terminal equipment data, aims at the problem of pain points of mass terminal data analysis of the current industrial Internet of things service platform, abstracts an analysis protocol in a configurable form, provides a unified API interface based on the stored analysis protocol, reduces the workload of data analysis, reduces the use threshold, and provides good maintainability and expandability for subsequent data format modification.
In order to solve the problems, the technical scheme of the application is as follows:
a general analysis device for terminal equipment data comprises:
the first module comprises a data analysis protocol input unit and a data storage unit, wherein a user inputs a data format on a configuration page, abstracts an analysis protocol into a unified analysis data structure and stores the analysis data structure in a database;
the second module comprises a protocol matching unit and an algorithm analysis unit, wherein the protocol matching unit matches a unique data analysis protocol from a database according to the equipment ID of the received data, and the algorithm analysis unit converts the data analysis protocol into a data format required by a user through a corresponding analysis algorithm;
the third module comprises a data storage unit and a data pushing unit, wherein the data storage unit is used for storing the analyzed data into a database, and the data pushing unit is used for pushing the analyzed data to the display page.
Preferably, the data analysis protocol input unit provides a configuration page for a user to configure, and the user inputs the protocol ID, the variable number, the variable name, the variable starting position, the variable offset, the variable type, whether the number of symbols is included or not and notes information on the configuration page according to the analysis rule of the data.
Preferably, the data storage unit is used for recording a final data parsing protocol through a database table DeviceDataRule, and the final data parsing protocol contains RuleID, dataCount, reMark, dataRuleString attributes.
Preferably, the algorithm parsing unit includes a parsing algorithm as follows: hexastream hexadecimal conversion floating point number, unsigned hexaxtodec unsigned hexadecimal conversion integer, signed hexaxtodec signed hexadecimal conversion integer, hexastrtobyte hexadecimal conversion binary, hexastrtotstr hexadecimal conversion string, hexatobool hexadecimal conversion boolean data.
Preferably, the data parsing process of the algorithm parsing unit is:
firstly converting DataRuleString into JsonARRAy, comparing the length of the JsonARRAy with recorded quantity data, if the length is inconsistent with the recorded quantity data, indicating that the analysis protocol is problematic, returning an error to a foreground, and if the length is inconsistent with the recorded quantity data, traversing the JsonARRAy array in sequence;
each element in the JsonARRAY array represents a Json object, each Json object describes a data analysis protocol, the position of the data in the hexadecimal character string is determined according to the start_address and offset of the Json object, and the target character string is intercepted by a string.substring method;
and according to the value_type of the Json object, a corresponding analysis algorithm is selected to analyze the obtained target character string.
Further, the application also provides a general analysis method for the terminal equipment data, which comprises the following steps:
recording a terminal equipment data protocol, forming JSON data according to a data format table, and storing the JSON data into a database table;
finding an application rule according to the number of the terminal equipment, and matching a unique analysis protocol from a database table;
the terminal equipment data are subjected to data analysis through an analysis protocol by an algorithm analysis unit;
and storing and pushing the analyzed terminal equipment data.
Preferably, the step of analyzing the terminal device data by the algorithm analyzing unit through the analyzing protocol specifically includes:
firstly converting DataRuleString into JsonARRAy, comparing the length of the JsonARRAy with recorded quantity data, if the length is inconsistent with the recorded quantity data, indicating that the analysis protocol is problematic, returning an error to a foreground, and if the length is inconsistent with the recorded quantity data, traversing the JsonARRAy array in sequence;
each element in the JsonARRAY array represents a Json object, each Json object describes a data analysis protocol, the position of the data in the hexadecimal character string is determined according to the start_address and offset of the Json object, and the target character string is intercepted by a string.substring method;
and according to the value_type of the Json object, a corresponding analysis algorithm is selected to analyze the obtained target character string.
Preferably, the step of storing and pushing the parsed terminal device data specifically includes: and storing the parsed data into a database through a data storage unit, and pushing the parsed data to a display page through a WebSocket connection in the form of a value_name: value key value pair through a data pushing unit.
Compared with the prior art, the application has the following advantages:
1. the method abstracts the data analysis protocol into the configuration file, allows the user to edit on the platform page and store the configuration file in the database, provides a unified analysis interface, and does not need secondary development;
2. the data of different terminal devices are read and analyzed into the format required by the user through the unified interface, so that the use threshold is reduced, and business personnel can easily drive the device;
3. when the equipment data is changed, only the configuration file is required to be adjusted, so that the device has good maintainability and expandability.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
fig. 1 is a block diagram of a general analysis device for terminal equipment data according to an embodiment of the present application;
fig. 2 is a data analysis process diagram of an algorithm analysis unit according to an embodiment of the present application;
fig. 3 is a flow chart of a general analysis method for terminal equipment data according to an embodiment of the present application.
Detailed Description
The present application will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the present application, but are not intended to limit the application in any way. It should be noted that variations and modifications could be made by those skilled in the art without departing from the inventive concept. These are all within the scope of the present application.
Specifically, according to the embodiment of the application, based on the industrial Internet of things service platform with separated front and rear ends developed by JAVA and JS languages, terminal equipment data is transmitted to the platform through an MQTT protocol, and after a rear-end program analyzes the data, the data is stored in a database and pushed to a display page.
As shown in fig. 1, the general analysis device for terminal equipment data includes a first module, a second module, and a third module.
The first module comprises a data analysis protocol input unit and a data storage unit, wherein a user inputs a data format on a configuration page, abstracts an analysis protocol into a unified analysis data structure, and stores the analysis protocol into a database.
The data analysis protocol input unit provides a configuration page for a user to configure, and the user inputs protocol ID, variable number, variable name, variable starting position, variable offset, variable type, whether the number of symbols is included or not and remark information in the configuration page according to analysis rules of data. And after the data are stored, the data are input into a database, and the subsequent operations of changing and deleting can be performed.
The data storage unit is used for recording a final data analysis protocol through a database table deviceDataRule, and comprises RuleID, dataCount, reMark, dataRuleString four attributes. The rule ID is used for uniquely representing an analysis protocol, the corresponding protocol ID input by the configuration page is configured, and the equipment data is matched with the corresponding analysis mode according to the rule ID; the data count corresponds to the variable number of the configuration page and is used for representing the number of data variables which are used for analysis by the analysis protocol; reMark field corresponding to ReMark information of configuration page, which is used for recording relevant ReMark of the protocol and can be defaulted; the datarule string is used for storing a JSON format data parsing protocol string, the JSON structure comprises a JSONArray, JSONArray containing a plurality of jsonoobjects, and each jsonoobject stores a parsing mode of a variable, and the parsing mode comprises a variable name value_name, a variable type value_type, a start position start_address, an offset and a symbol flag. The value_name corresponds to the variable name of the configuration page and is used for representing the name of the data; the value_type corresponds to the variable type of the configuration page and is used for representing the analyzed data format; the start_address and the offset correspond to the variable starting position and the variable offset of the configuration page and are used for identifying the position of the variable in the hexadecimal character string; the flag corresponds to whether the configuration page is signed or not, wherein a flag of 0 indicates no sign, and a flag of 1 indicates signed.
The second module comprises a protocol matching unit and an algorithm analysis unit. The protocol matching unit reads the corresponding rule ID according to the device ID of the received data, and matches the unique data analysis protocol from the deviceDataRule table. The algorithm analysis unit cuts the received hexadecimal data into data character strings according to start_address and offset according to JSON array content in DataRuleString by reading a data analysis protocol, and selects a corresponding analysis algorithm according to value_type to convert the data into a data format required by a user.
Specifically, the algorithm parsing unit includes the following parsing algorithms:
hexastream hexadecimal conversion floating point number, unsigned hexaxtodec unsigned hexadecimal conversion integer, signed hexaxtodec signed hexadecimal conversion integer, hexastrtobyte hexadecimal conversion binary, hexastrtotstr hexadecimal conversion string, hexatobool hexadecimal conversion boolean data.
As shown in fig. 2, the data parsing process of the algorithm parsing unit is as follows:
1. firstly converting DataRuleString into JsonARRAy, comparing the length of the JsonARRAy with recorded quantity data, if the length is inconsistent with the recorded quantity data, indicating that the analysis protocol is problematic, returning an error to a foreground, and if the length is inconsistent with the recorded quantity data, traversing the JsonARRAy array in sequence;
2. each element in the JsonARRAY array represents a Json object, each Json object describes a data analysis protocol, the position of the data in the hexadecimal character string is determined according to the start_address and offset of the Json object, and the target character string is intercepted by a string.substring method;
3. and according to the value_type of the Json object, a corresponding analysis algorithm is selected to analyze the obtained target character string.
The third module comprises a data storage unit and a data pushing unit. And the data storage unit stores the analyzed data into the time sequence database, and if the analyzed data is stored for the first time, a database table is automatically newly built according to the analyzed data type so as to store the subsequent data. The data pushing unit is responsible for packaging the analyzed data into a key value pair form, and pushing the data to the front-end application through a WebSocket protocol to achieve the effect of displaying real-time data.
Further, the application also provides a general analysis method for the data of the terminal equipment, as shown in fig. 3, the method comprises the following steps:
s1: recording a terminal equipment data protocol, forming JSON data according to a data format table, and storing the JSON data into a database table;
taking terminal equipment A000001 as an example, the data of the production line station 1 is collected, and the data format is shown in the following table 1:
TABLE 1
First, the first module performs the entry of the device data protocol. The protocol ID is A1Rule1, the variable number is 11, and the remark is the production line station 1 analysis protocol. Taking the first variable as an example, a variable name input operation console automatically selects a switch, the variable type inputs a bol, the variable starting position inputs 0 because of the first variable, the variable offset inputs 2 because the bol occupies one byte, and the flag inputs 0 because of the unsigned number. The subsequent variables are recorded one by one. Finally, according to the data format table, JSON data shown below are formed and then stored in a database table DeviceDataRule.
S2: finding an application rule according to the number of the terminal equipment, and matching a unique analysis protocol from a database table;
specifically, the terminal device a000001 sends the hexadecimal data string 000100010000004a380000 BB800000FA000002EE0000061a8000036B0, and the protocol matching unit in the second module finds the application Rule A1Rule1 according to the terminal device number a000001, and matches the unique parsing protocol from the database table DeviceDataRule.
S3: the terminal equipment data are subjected to data analysis through an analysis protocol by an algorithm analysis unit;
specifically, the algorithm parsing unit in the second module is responsible for parsing the data of the terminal device through the parsing protocol.
Taking the above terminal device data as an example, the first data intercepts the first two bits 00 of the hexadecimal string according to start_address=0 and offset=2, and calls the hexatobool to convert 00 into bool type data 0 according to value_type=bool. The second to five data are intercepted in the same way, resulting in 01, 00, 01, 00, and converted to 1,0,1,0 according to value_type=bool. Sixth to eleventh data, 00004a38, 00000BB8, 00000FA0, 00002EE0, 000061A8, 000036B0 are obtained after interception, and unsigned hextodec method is called according to value_type=int 32 to convert values into 19000, 3000, 4000, 12000, 25000, 14000. The analysis of the piece of equipment data is completed so far, and the following data in table 2 are obtained:
TABLE 2
S4: and storing and pushing the analyzed terminal equipment data.
Specifically, the third module is responsible for storing and pushing the terminal equipment data finally analyzed by the second module.
And the data storage unit searches whether the table exists in the database according to the terminal equipment number A000001, and if not, the data storage unit performs the table building operation by taking the equipment number as a table name and the equipment data as a column name. Next, data 0,1,0,1,0, 19000, 3000, 4000, 12000, 25000, 14000 are stored in columns, and the data are stored in table a 000001.
The data pushing unit is used for pushing the analyzed data to the display page in real time through WebSocket connection in the form of a value_name: value key value pair.
In summary, according to the general analysis device and method for terminal equipment data, the data analysis protocol is abstracted into the configuration file aiming at the problem of pain point of the current industrial Internet of things service platform for analyzing mass terminal data, a user is allowed to edit on a platform page and store the configuration file into a database, and data of different terminal equipment are read and analyzed into a format required by the user through a unified interface. The workload of analyzing the data is reduced, the use threshold is lowered, and good maintainability and expandability are provided for subsequent data format modification.
The foregoing describes specific embodiments of the present application. It is to be understood that the application is not limited to the particular embodiments described above, and that various changes or modifications may be made by those skilled in the art within the scope of the appended claims without affecting the spirit of the application. The embodiments of the application and the features of the embodiments may be combined with each other arbitrarily without conflict.

Claims (8)

1. A universal parsing apparatus for data of a terminal device, the apparatus comprising:
the first module comprises a data analysis protocol input unit and a data storage unit, wherein a user inputs a data format on a configuration page, abstracts an analysis protocol into a unified analysis data structure and stores the analysis data structure in a database;
the second module comprises a protocol matching unit and an algorithm analysis unit, wherein the protocol matching unit matches a unique data analysis protocol from a database according to the equipment ID of the received data, and the algorithm analysis unit converts the data analysis protocol into a data format required by a user through a corresponding analysis algorithm;
the third module comprises a data storage unit and a data pushing unit, wherein the data storage unit is used for storing the analyzed data into a database, and the data pushing unit is used for pushing the analyzed data to the display page.
2. The universal data analysis device according to claim 1, wherein the data analysis protocol input unit provides a configuration page for a user to configure, and the user inputs protocol ID, variable number, variable name, variable start position, variable offset, variable type, number of symbols, remark information on the configuration page according to analysis rules of data.
3. The general purpose terminal device data parsing apparatus according to claim 1, wherein the data storage unit is configured to record a final data parsing protocol through a database table DeviceDataRule, and includes RuleID, dataCount, reMark, dataRuleString attributes.
4. The general purpose terminal equipment data analyzing device according to claim 1, wherein the algorithm analyzing unit comprises an analyzing algorithm as follows: hexastream hexadecimal conversion floating point number, unsigned hexaxtodec unsigned hexadecimal conversion integer, signed hexaxtodec signed hexadecimal conversion integer, hexastrtobyte hexadecimal conversion binary, hexastrtotstr hexadecimal conversion string, hexatobool hexadecimal conversion boolean data.
5. The general purpose terminal device data analyzing apparatus according to claim 1, wherein the data analyzing process of the algorithm analyzing unit is:
firstly converting DataRuleString into JsonARRAy, comparing the length of the JsonARRAy with recorded quantity data, if the length is inconsistent with the recorded quantity data, indicating that the analysis protocol is problematic, returning an error to a foreground, and if the length is inconsistent with the recorded quantity data, traversing the JsonARRAy array in sequence;
each element in the JsonARRAY array represents a Json object, each Json object describes a data analysis protocol, the position of the data in the hexadecimal character string is determined according to the start_address and offset of the Json object, and the target character string is intercepted by a string.substring method;
and according to the value_type of the Json object, a corresponding analysis algorithm is selected to analyze the obtained target character string.
6. The universal analysis method for the terminal equipment data is characterized by comprising the following steps:
recording a terminal equipment data protocol, forming JSON data according to a data format table, and storing the JSON data into a database table;
finding an application rule according to the number of the terminal equipment, and matching a unique analysis protocol from a database table;
the terminal equipment data are subjected to data analysis through an analysis protocol by an algorithm analysis unit;
and storing and pushing the analyzed terminal equipment data.
7. The method for universal parsing data of terminal equipment according to claim 6, wherein the step of parsing data of terminal equipment by an algorithm parsing unit through a parsing protocol specifically comprises:
firstly converting DataRuleString into JsonARRAy, comparing the length of the JsonARRAy with recorded quantity data, if the length is inconsistent with the recorded quantity data, indicating that the analysis protocol is problematic, returning an error to a foreground, and if the length is inconsistent with the recorded quantity data, traversing the JsonARRAy array in sequence;
each element in the JsonARRAY array represents a Json object, each Json object describes a data analysis protocol, the position of the data in the hexadecimal character string is determined according to the start_address and offset of the Json object, and the target character string is intercepted by a string.substring method;
and according to the value_type of the Json object, a corresponding analysis algorithm is selected to analyze the obtained target character string.
8. The method for universal parsing of terminal equipment data according to claim 6, wherein the step of storing and pushing parsed terminal equipment data specifically includes: and storing the parsed data into a database through a data storage unit, and pushing the parsed data to a display page through a WebSocket connection in the form of a value_name: value key value pair through a data pushing unit.
CN202310880093.0A 2023-07-18 2023-07-18 Universal analysis device and method for terminal equipment data Pending CN117014529A (en)

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Application Number Priority Date Filing Date Title
CN202310880093.0A CN117014529A (en) 2023-07-18 2023-07-18 Universal analysis device and method for terminal equipment data

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Application Number Priority Date Filing Date Title
CN202310880093.0A CN117014529A (en) 2023-07-18 2023-07-18 Universal analysis device and method for terminal equipment data

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