CN115859946A - 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
- Publication number
- CN115859946A CN115859946A CN202310189731.4A CN202310189731A CN115859946A CN 115859946 A CN115859946 A CN 115859946A CN 202310189731 A CN202310189731 A CN 202310189731A CN 115859946 A CN115859946 A CN 115859946A
- Authority
- CN
- China
- Prior art keywords
- data
- rule
- execution
- analysis
- analyzed
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Stored Programmes (AREA)
- Devices For Executing Special Programs (AREA)
Abstract
The invention discloses a rule engine method and a system for data analysis and data circulation, which comprises the steps of obtaining data to be analyzed, a data analysis rule and a data circulation rule which are sent by a target user, analyzing the data to be analyzed according to the data analysis rule to obtain standard formatted data, and sending the standard formatted data to a corresponding application according to a preset data circulation rule, thereby realizing various complex execution conditions, flexibly and variably semantic and lightweight rule engines, and improving the efficiency of data analysis and data circulation.
Description
Technical Field
The invention relates to the technical field related to a rule engine, 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, is a component embedded in an application program, and realizes the separation of business decisions from application program codes and the writing of the business decisions by using a predefined semantic module. And receiving data input, explaining the business rules, and outputting the data.
At present, due to the fact that devices and data formats in the internet of things are diversified, application end data loading modes are different, and data analysis and data circulation through hard coding are not suitable. However, some existing rule engines are too heavy, too cumbersome to use and operate, or not flexible enough, and the rules of the internet of things are relatively simple but have their own characteristics.
Disclosure of Invention
The present invention is directed to at least solving the problems of the prior art. Therefore, the invention provides a rule engine method and a system for data analysis and data transfer, 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 transfer.
In a first aspect of the present invention, a rule engine method for data parsing and data streaming is provided, which includes the following steps:
acquiring data to be analyzed, a data analysis rule and a data flow rule which are sent by a target user, wherein the data analysis rule comprises a rule execution condition, an execution content and an execution priority, the rule execution condition is used for judging whether the data to be analyzed is true, if so, the data to be analyzed enters the execution content, and if not, the data to be analyzed skips the data analysis rule; 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 used for inputting original data or a formatting command, outputting standard formatted data or a recognizable command of equipment, a series of equipment information built-in objects and a series of tool classes; the execution priority is used for sequencing a plurality of rules with the same data flow direction, and different data flow directions belong to different rule execution chains;
analyzing the data to be analyzed according to the data analysis rule to obtain standard formatted data;
and sending 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:
the method comprises the steps of obtaining data to be analyzed, a data analysis rule and a data circulation rule which are sent by a target user, analyzing the data to be analyzed according to the data analysis rule to obtain standard formatted data, and sending the standard formatted data to corresponding application according to a preset data circulation rule, so that various complex execution conditions, a flexible and variable semantic and lightweight rule engine 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 streaming further comprises:
acquiring 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 a rule execution condition, an execution content and an execution priority;
and sending the recognizable instruction to the target equipment.
According to some embodiments of the present invention, the sending the standard formatted data to a corresponding application according to a preset data flow rule includes:
filtering the standard formatted data according to SQL syntax to obtain filtered data;
and pushing the filtered data to a corresponding application through a data transmission protocol supported by the target application.
According to some embodiments of the present invention, the filtering the standard formatted data according to the SQL syntax to obtain filtered data includes:
analyzing the pre-configured SQL statement by using JSQLPArser to obtain a Java object with a hierarchical structure;
acquiring an attribution keyword of the standard formatted data, and making an assertion according to the attribution keyword through a from condition in the Java object with the hierarchical structure to obtain the standard formatted data with the 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 filtered standard formatted data and the select condition in the Java object with the hierarchical structure to obtain the filtered data.
According to some embodiments of the present 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 direction;
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, a rule engine system for data parsing and data streaming is provided, where the rule engine system for data parsing and data streaming includes:
the data analysis module is used for acquiring data to be analyzed, a data analysis rule and a data flow rule which are sent by a target user, wherein the data analysis rule comprises a rule execution condition, an execution content and an execution priority, the rule execution condition is used for judging whether the data to be analyzed is true, if so, the execution content is entered, and if not, the data analysis rule is skipped; 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 used for inputting original data or a formatting command, outputting standard formatted data or a recognizable command of equipment, a series of equipment information built-in objects and a series of tool classes; the execution priority is used for sequencing a plurality of rules with the same data flow direction, and different data flow directions 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 circulation module is used for sending the standard formatted data to a corresponding application according to a preset data circulation rule.
The system analyzes the data to be analyzed according to the data analysis rule by acquiring the data to be analyzed, the data analysis rule and the data circulation rule which are sent by a target user to obtain standard formatted data, and sends the standard formatted data to corresponding application according to the preset data circulation rule, thereby realizing various complex execution conditions, flexibly variable semantic and lightweight rule engines, and improving the data analysis and data circulation efficiency.
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 communicatively coupled to 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 data parsing and data streaming rules engine method described above.
In a fourth aspect of the present invention, a computer-readable storage medium is provided, which stores computer-executable instructions for causing a computer to perform the above-mentioned data parsing and data flow rule engine method.
It should be noted that the advantageous effects between the second to fourth aspects of the present invention and the prior art are the same as the advantageous effects between the above-mentioned rule engine system for data parsing and data circulation and the prior art, and will not be described in detail here.
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 above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow diagram of a rules engine method for data parsing and data flow according to an embodiment of the present invention;
fig. 2 is a flowchart of a rule engine system for data parsing and data flow according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, if there are first, second, etc. described, it is only for the purpose of distinguishing technical features, and it is not understood that relative importance is indicated or implied or that the number of indicated technical features is implicitly indicated or that the precedence of the indicated technical features is implicitly indicated.
In the description of the present invention, it should be understood that the orientation descriptions, such as the orientation or positional relationship indicated by upper, lower, etc., are based on the orientation or positional relationship shown in the drawings, and are only for convenience of description and simplification of the description, but do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus should not be construed as limiting the present invention.
In the description of the present invention, it should be noted that unless otherwise explicitly defined, terms such as arrangement, installation, connection and the like should be broadly understood, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the specific contents of the technical solutions.
The rule engine is developed by an inference engine, is a component embedded in an application program, and realizes the separation of business decisions from application program codes and the writing of the business decisions by using a predefined semantic module. And receiving data input, explaining the business rules, and outputting the data.
At present, due to the diversification of equipment and data formats in the internet of things and the different application-side data loading modes, a method for analyzing data and transferring data by hard coding is not suitable. However, some existing rule engines are too heavy, too cumbersome to use and operate, or not flexible enough, and the rules of the internet of things are relatively simple but have their own characteristics.
In order to solve the technical defects, referring to fig. 1, the present invention further provides a rule engine method for data parsing and data streaming, including:
step S101, acquiring data to be analyzed, a data analysis rule and a data flow rule which are sent by a target user, wherein the data analysis rule comprises a rule execution condition, an execution content and an execution priority, the rule execution condition is used for judging whether the data to be analyzed is true, if the data to be analyzed is true, the execution content is entered, and if the data to be analyzed is false, the data analysis rule is skipped; the execution content is used for analyzing the data to be analyzed through the analysis script to obtain standard formatted data, and the analysis script is used for inputting original data or a formatting command, outputting standard formatted data or an equipment recognizable command, a series of equipment information built-in objects and a series of tool classes; the execution priority is used for sequencing a plurality of rules with the same data flow direction, and different data flow directions 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;
and step S103, sending the standard formatted data to a corresponding application according to a preset data flow rule.
The method comprises the steps of obtaining data to be analyzed, a data analysis rule and a data circulation rule which are sent by a target user, analyzing the data to be analyzed according to the data analysis rule to obtain standard formatted data, sending the standard formatted data to a corresponding application according to a preset data circulation rule, realizing various complex execution conditions, flexibly and variably semantic and lightweight rule engines, and improving the data analysis and data circulation efficiency.
In some embodiments, the rule engine method for data parsing and data streaming further comprises:
acquiring 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 a rule execution condition, an execution content and an execution priority;
and sending the recognizable instruction to the target device.
Specifically, in some embodiments, one or more device terminals send data, such as temperature, humidity, rainfall, air pressure, and the like, acquired by the acquirer to the rule engine through MQTT protocol, HTTP protocol, and the like.
Specifically, in some embodiments, a device-side data parsing rule and a data stream conversion rule are preset in advance, and one or more rules are constructed for data in different formats or types of the same device.
Analyzing the rule data to obtain rule execution conditions, execution contents, execution priorities and data flow direction information of each rule, compiling the Groovy function of each execution content into an executable class, caching the class, dividing the class into two groups according to the data flow direction, sequencing each group according to the execution priorities to construct a rule execution chain, and placing the rule execution chains in a data analysis rule pool in a memory, wherein the rule execution chains are different if the data flow directions are different.
The method comprises the steps of obtaining original data of a device end, obtaining a rule execution chain with a data flow direction being a device data rule, polling assertion execution conditions according to an execution priority sequence, enabling the first assertion to be the execution content of a true execution rule, skipping the rest rules to obtain standard formatted data, and placing the standard formatted data in a message queue to be circulated.
The method comprises the steps that a formatting instruction sent by an application end obtains a rule execution chain with a data flow direction being a formatting instruction rule, execution conditions are polled according to an execution priority sequence, the first rule is predicated as the execution content of a true execution rule, other rules are skipped over to obtain an equipment end recognizable instruction, and further, the recognizable instruction is pushed to an 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 SQL syntax 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 the pre-configured SQL statement by using JSQLPArser to obtain a Java object with a hierarchical structure;
acquiring an attribution keyword of the standard formatted data, and making an assertion according to the attribution keyword through a from condition in a Java object with a hierarchical structure to obtain the standard formatted data with the assertion;
filtering the standard formatted data which is asserted to be true through a where condition in a Java object with a hierarchical structure to obtain filtered standard formatted data;
and extracting all matched fields in the selected condition in the filtered standard formatted data and the Java object with the hierarchical structure to obtain the filtered data.
In some embodiments, after 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:
the rule execution chain is hot updated.
In some embodiments, the hot update to 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 the compiled execution content;
acquiring an identifier of the modified data analysis rule and a data flow direction;
searching a corresponding rule execution chain according to the identifier of the modified data analysis rule and the data flow direction;
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 streaming, including a data obtaining module 1100, a data parsing module 1200, and a data streaming module 1300, where:
the data acquisition module 1100 is configured to acquire data to be analyzed, a data analysis rule and a data flow rule, where the data analysis rule includes a rule execution condition, an execution content and an execution priority, the rule execution condition is used to determine whether the data to be analyzed is true, if the data to be analyzed is true, the execution content is entered, and if the data to be analyzed is false, the data analysis rule is skipped; the execution content is used for analyzing the data to be analyzed through the analysis script to obtain standard formatted data, and the analysis script is used for inputting original data or a formatting command, outputting standard formatted data or an equipment recognizable command, a series of equipment information built-in objects and a series of tool classes; the execution priority is used for sequencing a plurality of rules with the same data flow direction, and different data flow directions belong to different rule execution chains;
the data analysis module 1200 is configured to analyze data to be analyzed according to a data analysis rule to obtain standard formatted data;
the data stream conversion module 1300 is configured to send the standard formatted data to a corresponding application according to a preset data stream rule.
The system analyzes the data to be analyzed according to the data analysis rule by acquiring the data to be analyzed, the data analysis rule and the data circulation rule which are sent by a target user to obtain standard formatted data, and sends the standard formatted data to corresponding application according to the preset data circulation rule, thereby realizing various complex execution conditions, flexibly variable semantic and lightweight rule engines, and improving the data analysis and data circulation efficiency.
It should be noted that the embodiment of the present system and the embodiment of the system described above are based on the same inventive concept, and therefore, the related contents of the embodiment of the method described above are also applicable to the embodiment of the present system, and are not described herein again.
The present application further provides a rule engine electronic device for data parsing and data transfer, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor when executing the computer program implementing: such as the rule engine method for data parsing and data circulation.
The processor and memory may be connected by a bus or other means.
The memory, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer executable programs. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory located remotely from the processor, and these remote memories may be connected 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 programs and instructions required to implement the data parsing and data flow rules engine method of the above embodiment are stored in the memory, and when executed by the processor, the data parsing and data flow rules engine method of the above embodiment is performed, for example, the above-described method steps S101 to S103 in fig. 1 are performed.
The present application further provides a computer-readable storage medium having stored thereon computer-executable instructions for performing: such as the rule engine method for data parsing and data circulation.
The computer-readable storage medium stores computer-executable instructions, which when executed by a processor or controller, for example, by a processor in the above-mentioned embodiment of the electronic device, may cause the processor to perform the rule engine method of data parsing and data flow in the above-mentioned embodiment, for example, to perform steps S101 to S103 of the method in fig. 1 described above.
One 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 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 is well known to those of ordinary skill 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 accessed by a computer. In addition, 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 includes any information delivery media as is well known to those of ordinary skill in the art.
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 those skilled in the art without departing from the gist of the present invention.
Claims (9)
1. A rule engine method for data analysis and data circulation is characterized in that the rule engine method for data analysis and data circulation comprises the following steps:
acquiring data to be analyzed, a data analysis rule and a data flow rule which are sent by a target user, wherein the data analysis rule comprises a rule execution condition, an execution content and an execution priority, the rule execution condition is used for judging whether the data to be analyzed is true, if so, the data to be analyzed enters the execution content, and if not, the data to be analyzed skips the data analysis rule; 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 used for inputting original data or a formatting command, outputting standard formatted data or a recognizable command of equipment, a series of equipment information built-in objects and a series of tool classes; the execution priority is used for sequencing a plurality of rules with the same data flow direction, and different data flow directions belong to different rule execution chains;
analyzing the data to be analyzed according to the data analysis rule to obtain standard formatted data;
and sending the standard formatted data to a corresponding application according to a preset data flow rule.
2. The method of claim 1, wherein the method further comprises:
acquiring 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 a rule execution condition, an execution content and an execution priority;
and sending the recognizable instruction to the target equipment.
3. The method as claimed in claim 2, wherein the step of sending the standard formatted data to a corresponding application according to a preset data flow rule comprises:
filtering the standard formatted data according to SQL syntax to obtain filtered data;
and pushing the filtered data to a corresponding application through a data transmission protocol supported by the target application.
4. The method of claim 3, wherein the filtering the standard formatted data according to SQL syntax to obtain filtered data comprises:
analyzing the pre-configured SQL statement by using JSQLPArser to obtain a Java object with a hierarchical structure;
acquiring an attribution keyword of the standard formatted data, and making an assertion according to the attribution keyword through a from condition in the Java object with the hierarchical structure to obtain the standard formatted data with the 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 filtered standard formatted data and the select condition in the Java object with the hierarchical structure to obtain the filtered data.
5. The method as claimed in claim 4, wherein after the step of sending the standard formatted data to the corresponding application according to the preset data flow rule, the method further comprises:
and carrying out hot updating on the rule execution chain.
6. The method of claim 5, wherein the performing a hot update on 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 direction;
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.
7. A 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 analysis system comprises a data acquisition module, a rule execution module and a data flow rule execution module, wherein the data acquisition module is used for acquiring data to be analyzed, a data analysis rule and a data flow rule which are sent by a target user, the rule execution condition is used for judging whether the data to be analyzed is true, if the data to be analyzed is true, execution content is entered, and if the data to be analyzed is false, the data analysis rule is skipped; 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 used for inputting original data or a formatting instruction, outputting the standard formatted data or an equipment recognizable instruction, a series of equipment information built-in objects and a series of tool classes; the execution priority is used for sequencing a plurality of rules with the same data flow direction, and different data flow directions 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 sending the standard formatted data to the corresponding application according to a preset data flow rule.
8. A rule engine device for data analysis and data circulation is characterized by comprising at least one control processor and a memory which is in communication connection 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 a data parsing and data flow rules engine method as claimed in any one of claims 1 to 6.
9. A computer-readable storage medium characterized by: the computer-readable storage medium stores computer-executable instructions for causing a computer to perform a data parsing and data streaming rules engine method as claimed in any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310189731.4A CN115859946B (en) | 2023-03-02 | 2023-03-02 | Rule engine method and system for data analysis and data circulation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310189731.4A CN115859946B (en) | 2023-03-02 | 2023-03-02 | Rule engine method and system for data analysis and data circulation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115859946A true CN115859946A (en) | 2023-03-28 |
| CN115859946B CN115859946B (en) | 2023-05-23 |
Family
ID=85659696
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310189731.4A Active CN115859946B (en) | 2023-03-02 | 2023-03-02 | Rule engine method and system for data analysis and data circulation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115859946B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103532808A (en) * | 2013-10-30 | 2014-01-22 | 江苏万全科技有限公司 | Enterprise service bus for integrating rule engine |
| US20170372289A1 (en) * | 2016-06-27 | 2017-12-28 | Altria Client Services Llc | Methods, systems, apparatuses, and non-transitory computer readable media for validating encoded information |
| CN108965365A (en) * | 2017-05-27 | 2018-12-07 | 腾讯科技（北京）有限公司 | A kind of data processing method and terminal, computer storage medium |
| EP3509022A1 (en) * | 2018-01-05 | 2019-07-10 | Goodrich Corporation | Multi-domain operational environment utilizing a common information layer |
| CN111212056A (en) * | 2019-12-30 | 2020-05-29 | 中电工业互联网有限公司 | Data analysis and distribution system and method based on 809 protocol |
| US20210109945A1 (en) * | 2019-10-15 | 2021-04-15 | Wheelhouse Interactive, LLC | Self-orchestrated system for extraction, analysis, and presentation of entity data |
| CN112788125A (en) * | 2020-12-31 | 2021-05-11 | 浙江航天恒嘉数据科技有限公司 | Internet of things platform and method based on data access, circulation and linkage |
| CN114936130A (en) * | 2022-05-25 | 2022-08-23 | 川藏铁路技术创新中心有限公司 | Data flow rule engine |
-
2023
- 2023-03-02 CN CN202310189731.4A patent/CN115859946B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103532808A (en) * | 2013-10-30 | 2014-01-22 | 江苏万全科技有限公司 | Enterprise service bus for integrating rule engine |
| US20170372289A1 (en) * | 2016-06-27 | 2017-12-28 | Altria Client Services Llc | Methods, systems, apparatuses, and non-transitory computer readable media for validating encoded information |
| CN108965365A (en) * | 2017-05-27 | 2018-12-07 | 腾讯科技（北京）有限公司 | A kind of data processing method and terminal, computer storage medium |
| EP3509022A1 (en) * | 2018-01-05 | 2019-07-10 | Goodrich Corporation | Multi-domain operational environment utilizing a common information layer |
| US20210109945A1 (en) * | 2019-10-15 | 2021-04-15 | Wheelhouse Interactive, LLC | Self-orchestrated system for extraction, analysis, and presentation of entity data |
| CN111212056A (en) * | 2019-12-30 | 2020-05-29 | 中电工业互联网有限公司 | Data analysis and distribution system and method based on 809 protocol |
| CN112788125A (en) * | 2020-12-31 | 2021-05-11 | 浙江航天恒嘉数据科技有限公司 | Internet of things platform and method based on data access, circulation and linkage |
| CN114936130A (en) * | 2022-05-25 | 2022-08-23 | 川藏铁路技术创新中心有限公司 | Data flow rule engine |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115859946B (en) | 2023-05-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109496418B (en) | File downloading method and device, and equipment/terminal/server | |
| CN109688207A (en) | Log transmission method, apparatus and server | |
| CN112667426B (en) | Log analysis method and device | |
| CN109391673A (en) | A kind of method, system and the terminal device of management update file | |
| CN110245559A (en) | Real-time object identification method, device and computer equipment | |
| CN110460584B (en) | Access request processing method and device, electronic equipment and computer readable medium | |
| CN105653945A (en) | Information processing method and device based on blacklist and electronic equipment | |
| US11934287B2 (en) | Method, electronic device and computer program product for processing data | |
| CN108600377B (en) | Method, device, terminal and storage medium for suspending file downloading | |
| CN111327475A (en) | Method, system and device for upgrading embedded equipment | |
| CN111176706A (en) | Terminal upgrading method and device, electronic equipment and storage medium | |
| CN112286706B (en) | Remote and rapid acquisition method for application information of android application and related equipment | |
| CN108600378B (en) | File downloading method, device, terminal and storage medium | |
| CN114205141A (en) | IPC algorithm deployment admission method, system, medium and electronic terminal | |
| CN115859946A (en) | Rule engine method and system for data analysis and data circulation | |
| CN115686665B (en) | Plug-in quick access method, device and storage medium | |
| CN109697072A (en) | Information processing method, device and equipment | |
| CN111158881A (en) | Data processing method and device, electronic equipment and computer readable storage medium | |
| CN115314518A (en) | Internet of things management method and system and computer readable storage medium | |
| CN115567388A (en) | Method, system, device and storage medium for automatically updating network slice configuration | |
| CN110471669B (en) | Null pointer reference detection method and detection device | |
| US10869216B2 (en) | System and method for managing filtering rules from a remote server | |
| US20150309788A1 (en) | Function module modularizing method in data distribution service and modularizing apparatus thereof | |
| EP2042986A1 (en) | Method and system for execution of a service-related process | |
| CN112148324A (en) | Method, apparatus and computer-readable storage medium for upgrading electronic device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |