CN115859946B - Rule engine method and system for data analysis and data circulation - Google Patents
Rule engine method and system for data analysis and data circulation Download PDFInfo
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Abstract
The invention discloses a rule engine method and a system for data analysis and data circulation, which comprise the steps of obtaining data to be analyzed, data analysis rules and data circulation rules sent by a target user, analyzing the data to be analyzed according to the data analysis rules to obtain standard formatted data, and sending the standard formatted data to corresponding applications according to preset data circulation rules, so that various complex execution conditions are realized, a semantic and lightweight rule engine which is flexible and variable is realized, and the efficiency of data analysis and data circulation is improved.
Description
Technical Field
The invention relates to the technical field of related rule engines, in particular to a rule engine method and a rule engine system for data analysis and data circulation.
Background
The rule engine is developed by an inference engine and is a component embedded in an application program, which implements the separation of business decisions from application code and the writing of business decisions using predefined semantic modules. And receiving data input, explaining the business rule, and outputting the data.
At present, as equipment and data formats in the internet of things are diversified, application-side data loading modes are different, and hard coding is adopted to conduct data analysis and data circulation, so that the method is an unsuitable method. However, some existing rule engines are either too heavy or too cumbersome to use and operate or not flexible enough, and the rules of the internet of things are relatively simple but have self characteristics.
Disclosure of Invention
The present invention aims to at least solve the technical problems existing in the prior art. Therefore, the invention provides a rule engine method and a system for data analysis and data circulation, which can support various complex execution conditions, realize flexible and variable semantic and lightweight rule engines and improve the efficiency of data analysis and data circulation.
In a first aspect of the present invention, a rule engine method for data parsing and data streaming is provided, including the steps of:
acquiring data to be analyzed, a data analysis rule and a data flow rule sent by a target user, wherein the data analysis rule comprises rule execution conditions, execution contents and execution priorities, the rule execution conditions are used for judging whether the data to be analyzed is true, entering the execution contents if the data to be analyzed is true, and skipping the data analysis rule if the data to be analyzed is false; the execution content is used for analyzing the data to be analyzed through an analysis script to obtain the standard formatted data, wherein the analysis script is an original data or formatted instruction input, a standard formatted data or equipment identifiable instruction output, a series of equipment information built-in objects and a series of tool classes; the execution priority is used for ordering the same rules of a plurality of data flows, and different data flows belong to different rule execution chains;
analyzing the data to be analyzed according to the data analysis rule to obtain standard formatted data;
and transmitting the standard formatted data to a corresponding application according to a preset data flow rule.
According to the embodiment of the invention, at least the following technical effects are achieved:
according to the method, the data to be analyzed, the data analysis rule and the data circulation rule sent by the target user are obtained, the data to be analyzed is analyzed according to the data analysis rule, the standard formatted data is obtained, the standard formatted data is sent to the corresponding application according to the preset data circulation rule, various complex execution conditions are realized, the flexible and variable semantic and lightweight rule engines are realized, and the data analysis and data circulation efficiency is improved.
According to some embodiments of the invention, the rule engine method for data parsing and data flowing further comprises:
the method comprises the steps of obtaining a formatting instruction sent to equipment by an application, and analyzing the formatting instruction according to a preset instruction analysis rule to obtain an identifiable instruction, wherein the instruction analysis rule comprises rule execution conditions, execution contents and execution priorities;
and sending the identifiable instruction to target equipment.
According to some embodiments of the present invention, the sending the standard formatted data to the corresponding application according to a preset data flow rule includes:
filtering the standard formatted data according to SQL grammar to obtain filtered data;
and pushing the filtered data to the corresponding application through a data transmission protocol supported by the target application.
According to some embodiments of the invention, the filtering the standard formatted data according to the SQL grammar to obtain filtered data includes:
analyzing a preconfigured SQL statement by using JSQLParser to obtain a Java object with a hierarchical structure;
acquiring a home keyword of the standard formatted data, and according to the home keyword, asserting a from condition in the Java object with the hierarchical structure to obtain standard formatted data with true assertion;
filtering the standard formatted data which is asserted to be true through a sphere condition in the Java object with the hierarchical structure to obtain filtered standard formatted data;
and extracting all matching fields in the select condition of the filtered standard formatted data and the Java object with the hierarchical structure to obtain the filtered data.
According to some embodiments of the invention, after the sending the standard formatted data to the corresponding application according to the preset data flow rule, the rule engine method for data parsing and data flow further includes:
and carrying out hot updating on the rule execution chain.
According to some embodiments of the invention, the hot updating of the rule execution chain comprises:
modifying the data analysis rule to obtain a modified data analysis rule;
compiling the execution content of the modified data analysis rule to obtain compiled execution content;
acquiring an identifier and a data flow direction of the modified data analysis rule;
searching a corresponding rule execution chain according to the identifier of the modified data analysis rule and the data flow;
locking the execution pool corresponding to the modified data analysis rule, deleting the corresponding rule execution chain, and placing the rule execution chain corresponding to the modified data analysis rule in the rule execution pool.
In a second aspect of the present invention, there is provided a rule engine system for data parsing and data transfer, the rule engine system for data parsing and data transfer comprising:
the data acquisition module is used for acquiring data to be analyzed, data analysis rules and data flow rules sent by a target user, wherein the data analysis rules comprise rule execution conditions, execution contents and execution priorities, the rule execution conditions are used for judging whether the data to be analyzed is true, entering the execution contents if the data to be analyzed is true, and skipping the data analysis rules if the data to be analyzed is false; the execution content is used for analyzing the data to be analyzed through an analysis script to obtain the standard formatted data, wherein the analysis script is an original data or formatted instruction input, a standard formatted data or equipment identifiable instruction output, a series of equipment information built-in objects and a series of tool classes; the execution priority is used for ordering the same rules of a plurality of data flows, and different data flows belong to different rule execution chains;
the data analysis module is used for analyzing the data to be analyzed according to the data analysis rule to obtain standard formatted data;
and the data flow module is used for transmitting the standard formatted data to the corresponding application according to a preset data flow rule.
According to the system, the data to be analyzed, the data analysis rule and the data circulation rule sent by the target user are obtained, the data to be analyzed is analyzed according to the data analysis rule, the standard formatted data is obtained, the standard formatted data is sent to the corresponding application according to the preset data circulation rule, various complex execution conditions are realized, the flexible and variable semantic and lightweight rule engines are realized, and the data analysis and data circulation efficiency is improved.
In a third aspect of the present invention, a rule engine electronic device for data parsing and data streaming is provided, comprising at least one control processor and a memory for communicatively coupling with the at least one control processor; the memory stores instructions executable by the at least one control processor to enable the at least one control processor to perform the rules engine method of data parsing and data flow described above.
In a fourth aspect of the present invention, a computer-readable storage medium is provided, where computer-executable instructions are stored, where the computer-executable instructions are configured to cause a computer to perform the rule engine method for data parsing and data flow described above.
It should be noted that the advantages of the second to fourth aspects of the present invention and the prior art are the same as those of the rule engine system for data parsing and data flow described above and are not described in detail herein.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
FIG. 1 is a flow chart of a rule engine method for data parsing and data streaming according to an embodiment of the present invention;
FIG. 2 is a flow chart of a rule engine system for data parsing and data streaming according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
In the description of the present invention, the description of first, second, etc. is for the purpose of distinguishing between technical features only and should not be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, it should be understood that the direction or positional relationship indicated with respect to the description of the orientation, such as up, down, etc., is based on the direction or positional relationship shown in the drawings, is merely for convenience of describing the present invention and simplifying the description, and does not indicate or imply that the apparatus or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In the description of the present invention, unless explicitly defined otherwise, terms such as arrangement, installation, connection, etc. should be construed broadly and the specific meaning of the terms in the present invention can be determined reasonably by a person skilled in the art in combination with the specific content of the technical solution.
The rule engine is developed by an inference engine and is a component embedded in an application program, which implements the separation of business decisions from application code and the writing of business decisions using predefined semantic modules. And receiving data input, explaining the business rule, and outputting the data.
At present, as equipment and data formats in the internet of things are diversified, application-side data loading modes are different, and hard coding is adopted to conduct data analysis and data circulation, so that the method is an unsuitable method. However, some existing rule engines are either too heavy or too cumbersome to use and operate or not flexible enough, and the rules of the internet of things are relatively simple but have self characteristics.
In order to solve the above technical drawbacks, referring to fig. 1, the present invention further provides a rule engine method for data parsing and data circulation, including:
step S101, obtaining data to be analyzed, a data analysis rule and a data flow rule sent by a target user, wherein the data analysis rule comprises rule execution conditions, execution contents and execution priorities, the rule execution conditions are used for judging whether the data to be analyzed is true, entering the execution contents if the data to be analyzed is true, and skipping the data analysis rule if the data to be analyzed is false; the execution content is used for analyzing the data to be analyzed through an analysis script to obtain standard formatted data, wherein the analysis script is an original data or formatted instruction input, a standard formatted data or equipment identifiable instruction output, a series of equipment information built-in objects and a series of tool classes; the execution priority is used for ordering the same rules of a plurality of data streams, and different data streams belong to different rule execution chains;
step S102, analyzing the data to be analyzed according to the data analysis rule to obtain standard formatted data;
step S103, the standard formatted data is sent to the corresponding application according to the preset data flow rule.
According to the method, the data to be analyzed, the data analysis rule and the data circulation rule sent by the target user are obtained, the data to be analyzed is analyzed according to the data analysis rule, the standard formatted data is obtained, the standard formatted data is sent to the corresponding application according to the preset data circulation rule, various complex execution conditions are realized, the flexible and variable semantic and lightweight rule engines are realized, and the data analysis and data circulation efficiency is improved.
In some embodiments, the rule engine method of data parsing and data streaming further comprises:
the method comprises the steps of obtaining a formatting instruction sent to equipment by an application, and analyzing the formatting instruction according to a preset instruction analysis rule to obtain an identifiable instruction, wherein the instruction analysis rule comprises rule execution conditions, execution contents and execution priorities;
the identifiable instruction is sent to the target device.
Specifically, in some embodiments, one or more device sides send data, such as temperature, humidity, rainfall, air pressure, etc., acquired by the collector to the rule engine through MQTT protocol, HTTP protocol, etc.
Specifically, in some embodiments, in advance, a device-side data parsing rule and a data flow rule are preset, and one or more rules are built for data in different formats or types of the same device.
Analyzing rule data to obtain rule execution conditions, execution contents, execution priority and data flow direction information of each rule, compiling a Groovy function of each execution content into executable class, caching the class, dividing the class into two groups according to data flow direction, ordering each group according to the execution priority to construct a rule execution chain, arranging a data analysis rule pool in a memory, and enabling rule execution chains to be different according to different data flow directions.
And acquiring the original data of the equipment end, acquiring a rule execution chain of which the data flow direction is an equipment data rule, polling the assertion execution condition according to the execution priority order, wherein the first assertion is the execution content of the true execution rule, skipping the other rules to obtain standard formatted data, and placing the standard formatted data in a message queue to be circulated.
And the formatting instruction sent by the application end acquires a rule execution chain with a data flow as a formatting instruction rule, polls execution conditions according to the execution priority order, firstly asserts the execution content of the true execution rule, and the other rules are skipped to obtain an equipment-end identifiable instruction and are further pushed to the equipment end through a data transmission protocol supported by the equipment end.
In some embodiments, sending the standard formatted data to the corresponding application according to the preset data flow rule includes:
filtering the standard formatted data according to the SQL grammar to obtain filtered data;
and pushing the filtered data to the corresponding application through a data transmission protocol supported by the target application.
In some embodiments, filtering the standard formatted data according to the SQL syntax to obtain filtered data comprises:
analyzing a preconfigured SQL statement by using JSQLParser to obtain a Java object with a hierarchical structure;
acquiring a home keyword of the standard formatted data, and according to the home keyword, asserting a from condition in a Java object with a hierarchical structure to obtain the standard formatted data with true assertion;
filtering the standard formatted data which is asserted to be true through a where condition in the Java object with the hierarchical structure to obtain filtered standard formatted data;
and extracting all matching fields in the select condition in the filtered standard formatted data and the Java object with the hierarchical structure to obtain the filtered data.
In some embodiments, after the standard formatted data is sent to the corresponding application according to the preset data flow rule, the rule engine method for data parsing and data flow further includes:
the rule execution chain is hot updated.
In some embodiments, hot updating the rule execution chain includes:
modifying the data analysis rule to obtain a modified data analysis rule;
compiling the execution content of the modified data analysis rule to obtain compiled execution content;
acquiring an identifier and a data flow direction of the modified data analysis rule;
searching a corresponding rule execution chain according to the identifier of the modified data analysis rule and the data flow;
locking the execution pool corresponding to the modified data analysis rule, deleting the corresponding rule execution chain, and placing the rule execution chain corresponding to the modified data analysis rule in the rule execution pool.
In addition, referring to fig. 2, an embodiment of the present invention provides a rule engine system for data parsing and data circulation, which includes a data acquisition module 1100, a data parsing module 1200, and a data circulation module 1300, wherein:
the data acquisition module 1100 is configured to acquire data to be analyzed, a data analysis rule, and a data flow rule sent by a target user, where the data analysis rule includes a rule execution condition, an execution content, and an execution priority, and the rule execution condition is used to determine whether the data to be analyzed is true, enter the execution content if the data to be analyzed is true, and skip the data analysis rule if the data to be analyzed is false; the execution content is used for analyzing the data to be analyzed through an analysis script to obtain standard formatted data, wherein the analysis script is an original data or formatted instruction input, a standard formatted data or equipment identifiable instruction output, a series of equipment information built-in objects and a series of tool classes; the execution priority is used for ordering the same rules of a plurality of data streams, and different data streams belong to different rule execution chains;
the data parsing module 1200 is configured to parse data to be parsed according to a data parsing rule, so as to obtain standard formatted data;
the data streaming module 1300 is configured to send the standard formatted data to a corresponding application according to a preset data streaming rule.
According to the system, the data to be analyzed, the data analysis rule and the data circulation rule sent by the target user are obtained, the data to be analyzed is analyzed according to the data analysis rule, the standard formatted data is obtained, the standard formatted data is sent to the corresponding application according to the preset data circulation rule, various complex execution conditions are realized, the flexible and variable semantic and lightweight rule engines are realized, and the data analysis and data circulation efficiency is improved.
It should be noted that, the system embodiment and the above-mentioned system embodiment are based on the same inventive concept, so that the relevant content of the above-mentioned method embodiment is also applicable to the system embodiment, and is not repeated here.
The application also provides a rule engine electronic device for data analysis and data transfer, comprising: memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing when executing the computer program: the rule engine method for data analysis and data circulation is as above.
The processor and the memory may be connected by a bus or other means.
The memory, as a non-transitory computer readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer executable programs. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory remotely located relative to the processor, the remote memory being connectable to the processor through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The non-transitory software program and instructions required to implement the rule engine method of data parsing and data streaming of the above embodiments are stored in the memory, and when executed by the processor, perform the rule engine method of data parsing and data streaming of the above embodiments, for example, perform the method steps S101 to S103 in fig. 1 described above.
The present application also provides a computer-readable storage medium storing computer-executable instructions for performing: the rule engine method for data analysis and data circulation is as above.
The computer-readable storage medium stores computer-executable instructions that are executed by a processor or controller, for example, by a processor in the above-described electronic device embodiment, which may cause the processor to perform the rule engine method for data parsing and data flow in the above-described embodiment, for example, performing the method steps S101 to S103 in fig. 1 described above.
Those of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program elements or other data, as known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program elements or other data in a modulated data signal such as a carrier wave or other transport mechanism and may include any information delivery media.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of one of ordinary skill in the art without departing from the spirit of the present invention.
Claims (8)
1. The rule engine method for data analysis and data circulation is characterized by comprising the following steps:
acquiring data to be analyzed, a data analysis rule and a data flow rule sent by a target user, wherein the data analysis rule comprises rule execution conditions, execution contents and execution priorities, the rule execution conditions are used for judging whether the data to be analyzed is true, entering the execution contents if the data to be analyzed is true, and skipping the data analysis rule if the data to be analyzed is false; the execution content is used for analyzing the data to be analyzed through an analysis script to obtain standard formatted data, wherein the analysis script is an original data or formatted instruction input, a standard formatted data or equipment identifiable instruction output, a series of equipment information built-in objects and a series of tool classes; the execution priority is used for ordering the same rules of a plurality of data flows, and different data flows belong to different rule execution chains;
analyzing the data to be analyzed according to the data analysis rule to obtain standard formatted data;
transmitting the standard formatted data to a corresponding application according to a preset data flow rule;
the rule engine method for data analysis and data circulation further comprises the following steps:
the method comprises the steps of obtaining a formatting instruction sent to equipment by an application, and analyzing the formatting instruction according to a preset instruction analysis rule to obtain an identifiable instruction, wherein the instruction analysis rule comprises rule execution conditions, execution contents and execution priorities;
transmitting the identifiable instruction to a target device;
analyzing rule data to obtain rule execution conditions, execution contents, execution priority and data flow direction information of each rule, compiling a Groovy function of each execution content into executable class, caching the class, dividing the class into two groups according to a data flow direction, ordering each group according to the execution priority to construct a rule execution chain, and arranging a data analysis rule pool in a memory, wherein the rule execution chains are different according to different data flow directions.
2. The method of claim 1, wherein the sending the standard formatted data to the corresponding application according to the preset data flow rule comprises:
filtering the standard formatted data according to SQL grammar to obtain filtered data;
and pushing the filtered data to the corresponding application through a data transmission protocol supported by the target application.
3. The method of claim 2, wherein filtering the standard formatted data according to SQL syntax to obtain filtered data comprises:
analyzing a preconfigured SQL statement by using JSQLParser to obtain a Java object with a hierarchical structure;
acquiring a home keyword of the standard formatted data, and according to the home keyword, asserting a from condition in the Java object with the hierarchical structure to obtain standard formatted data with true assertion;
filtering the standard formatted data which is asserted to be true through a sphere condition in the Java object with the hierarchical structure to obtain filtered standard formatted data;
and extracting all matching fields in the select condition of the filtered standard formatted data and the Java object with the hierarchical structure to obtain the filtered data.
4. A rule engine method for data parsing and data transfer according to claim 3, wherein after said sending said standard formatted data to a corresponding application according to a preset data transfer rule, said rule engine method for data parsing and data transfer further comprises:
and carrying out hot updating on the rule execution chain.
5. The method of claim 4, wherein the hot updating the rule execution chain comprises:
modifying the data analysis rule to obtain a modified data analysis rule;
compiling the execution content of the modified data analysis rule to obtain compiled execution content;
acquiring an identifier and a data flow direction of the modified data analysis rule;
searching a corresponding rule execution chain according to the identifier of the modified data analysis rule and the data flow;
locking the execution pool corresponding to the modified data analysis rule, deleting the corresponding rule execution chain, and placing the rule execution chain corresponding to the modified data analysis rule in the rule execution pool.
6. The rule engine system for data analysis and data circulation is characterized in that the rule engine method system for data analysis and data circulation comprises the following steps:
the data acquisition module is used for acquiring data to be analyzed, data analysis rules and data flow rules sent by a target user, wherein the data analysis rules comprise rule execution conditions, execution contents and execution priorities, the rule execution conditions are used for judging whether the data to be analyzed is true, entering the execution contents if the data to be analyzed is true, and skipping the data analysis rules if the data to be analyzed is false; the execution content is used for analyzing the data to be analyzed through an analysis script to obtain standard formatted data, wherein the analysis script is an original data or formatted instruction input, a standard formatted data or equipment identifiable instruction output, a series of equipment information built-in objects and a series of tool classes; the execution priority is used for ordering the same rules of a plurality of data flows, and different data flows belong to different rule execution chains;
the data analysis module is used for analyzing the data to be analyzed according to the data analysis rule to obtain standard formatted data;
the data flow module is used for transmitting the standard formatted data to the corresponding application according to a preset data flow rule;
the rule engine system for data analysis and data circulation further comprises:
the instruction acquisition module is used for acquiring a formatting instruction sent to the equipment by the application;
the instruction analysis module is used for analyzing the formatted instruction according to a preset instruction analysis rule to obtain an identifiable instruction, wherein the instruction analysis rule comprises rule execution conditions, execution contents and execution priorities;
and the instruction flow module is used for sending the identifiable instruction to target equipment.
7. A rules engine device for data parsing and data streaming comprising at least one control processor and a memory for communication connection with said at least one control processor; the memory stores instructions executable by the at least one control processor to enable the at least one control processor to perform a rule engine method of data parsing and data flow according to any one of claims 1 to 5.
8. A computer-readable storage medium, characterized by: the computer-readable storage medium stores computer-executable instructions for causing a computer to perform a rule engine method of data parsing and data flow as claimed in any one of claims 1 to 5.
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| US10395231B2 (en) * | 2016-06-27 | 2019-08-27 | Altria Client Services Llc | Methods, systems, apparatuses, and non-transitory computer readable media for validating encoded information |
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| US11334592B2 (en) * | 2019-10-15 | 2022-05-17 | Wheelhouse Interactive, LLC | Self-orchestrated system for extraction, analysis, and presentation of entity data |
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