CN112825070A - Rule processing method and device based on data flow of Internet of things and storage medium - Google Patents
Rule processing method and device based on data flow of Internet of things and storage medium Download PDFInfo
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- CN112825070A CN112825070A CN201911148026.XA CN201911148026A CN112825070A CN 112825070 A CN112825070 A CN 112825070A CN 201911148026 A CN201911148026 A CN 201911148026A CN 112825070 A CN112825070 A CN 112825070A
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/24568—Data stream processing; Continuous queries
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- G06F16/24564—Applying rules; Deductive queries
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- G06F16/28—Databases characterised by their database models, e.g. relational or object models
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Abstract
The invention provides a rule processing method, a rule processing device and a computer storage medium based on data flow of the Internet of things, wherein the method comprises the following steps: acquiring Internet of things data and forming an Internet of things data stream; classifying the Internet of things data flow and corresponding to different Internet of things services; extracting rule factors according to the Internet of things services and freely combining the rule factors to generate rules bound with the Internet of things services; and performing operation processing on the rule and outputting and storing the result of the operation processing. According to the rule processing method based on the data flow of the Internet of things, provided by the embodiment of the invention, a free combination strategy is provided, so that the rules bound with the business can be freely combined, the rule factors of the synthetic rules can be repeatedly and practically used for a plurality of rules, new rules do not need to be re-developed, only the rule factors of the synthetic rules need to be re-typeset, and the development and operation and maintenance costs are reduced.
Description
Technical Field
The invention relates to the technical field of data stream processing of the Internet of things, in particular to a rule processing method and device based on the data stream of the Internet of things and a computer storage medium.
Background
With the popularization of the internet of things, the data volume generated by various industries and different sensors is huge, and the data format is complex and changeable.
At present, data streams are generally handed to a stream computing engine for processing data streams of the internet of things, and after the stream computing engine takes various types of data, the stream computing engine designs its own business rules according to its own business, and the rules are generally closely bound with the business.
Although the problem can be solved according to the rule of the business design, the data generated by different sensors in various industries is more and more huge along with the popularization of the Internet of things, the structure is rich, and the business requirements are variable. The designed rule is more and more along with the time, and the maintenance cost is high. And the granularity of the rule is too large, the rule is firmly bound with the service, and the rule cannot be well expanded and reused.
Disclosure of Invention
In view of this, the present invention provides a rule processing method, device and computer storage medium based on data flow of internet of things, which ensure that rule factors of a synthesis rule can be repeatedly used by multiple rules.
In order to solve the technical problems, the invention adopts the following technical scheme:
according to the embodiment of the first aspect of the invention, the rule processing method based on the data flow of the internet of things comprises the following steps: acquiring Internet of things data and forming an Internet of things data stream; classifying the Internet of things data flow and corresponding to different Internet of things services; extracting rule factors according to the Internet of things services and freely combining the rule factors to generate rules bound with the Internet of things services; and performing operation processing on the rule and outputting and storing the result of the operation processing.
According to one embodiment of the invention, the rules are formed as specific logic for handling the internet of things data flow.
According to an embodiment of the present invention, the rule is configured to process the internet of things services of a type of the internet of things data stream.
According to one embodiment of the invention each of said rules is formed by a free combination of at least two of said rule factors.
According to an embodiment of the present invention, the same rule factor corresponds to a plurality of rules for reuse.
According to an embodiment of the present invention, performing arithmetic processing on the rule and outputting and saving a result of the arithmetic processing includes: implanting the rule into a calculation engine for operation processing; and storing the result of the operation processing into a relational database or a storage medium.
According to one embodiment of the invention, the computing engine is formed as a streaming computing engine.
The rule processing device based on the data flow of the internet of things according to the second aspect of the invention comprises: the acquisition module is used for acquiring the data of the Internet of things and forming an Internet of things data stream; a classification module to classify the internet of things data stream; the recombination module is used for freely combining the rule factors to generate a rule bound with the service of the Internet of things; and the calculation module is used for carrying out operation processing on the rule.
According to one embodiment of the invention, the calculation module comprises: a calculation unit for operating on the rule; an output unit configured to output a result of the arithmetic processing; a storage unit for storing a result of the arithmetic processing.
The computer storage medium according to the third aspect of the present invention includes one or more computer instructions, which when executed, implement the rule processing method based on the data flow of the internet of things described in the foregoing embodiments.
The technical scheme of the invention has the following beneficial effects:
according to the rule processing method based on the data flow of the Internet of things, provided by the embodiment of the invention, a free combination strategy is provided, so that the rules bound with the business can be freely combined, the rule factors of the synthetic rules can be repeatedly and practically used for a plurality of rules, new rules do not need to be re-developed, only the rule factors of the synthetic rules need to be re-typeset, and the development and operation and maintenance costs are reduced.
Drawings
Fig. 1 is a flowchart of a rule processing method based on data flow of the internet of things according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a rule processing apparatus based on data flow of the internet of things according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an electronic device according to an embodiment of the invention.
Reference numerals:
a rule processing method 100 based on the data flow of the internet of things;
a rule processing device 200 based on the data flow of the internet of things;
an acquisition module 210;
a classification module 220;
a reassembly module 230;
a calculation module 240; a calculation unit 241; an output unit 242; a storage unit 243;
an electronic device 300;
a memory 310; an operating system 311; an application 312;
a processor 320; a network interface 330; an input device 340; a hard disk 350; a display device 360.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings of the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention, are within the scope of the invention.
Unless defined otherwise, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. The use of "first," "second," and similar terms in the present application do not denote any order, quantity, or importance, but rather the terms are used to distinguish one element from another. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships are changed accordingly.
First, a rule processing method 100 based on data flow of the internet of things according to an embodiment of the present invention is described in detail with reference to the drawings.
As shown in fig. 1, a rule processing method 100 based on data flow of the internet of things according to an embodiment of the present invention includes: acquiring Internet of things data and forming an Internet of things data stream; classifying the Internet of things data flow and corresponding to different Internet of things services; extracting rule factors according to the Internet of things services and freely combining the rule factors to generate rules bound with the Internet of things services; and performing operation processing on the rule and outputting and storing the result of the operation processing.
In other words, according to the rule processing method 100 based on the data flow of the internet of things of the embodiment of the present invention, firstly, the data of the internet of things can be obtained, and the network data is formed into the data flow of the internet of things. Secondly, the data streams of the internet of things can be classified, and each type of network data streams can be matched with corresponding services of the internet of things. Then, rule factors for processing the business can be extracted according to the application requirements of the business of the internet of things, the rule factors are minimum business processing units, one rule factor can correspond to one thing, and the extracted rule factors are freely combined to generate a rule bound with the business of the internet of things. Rules may be a specific logic for handling a type of networked data flow, with logically dependent reuse of handling traffic from rule to rule. Finally, the rule may be subjected to arithmetic processing, and the result of the arithmetic processing may be output and saved.
Therefore, according to the rule processing method 100 based on the data flow of the internet of things, a free combination strategy is provided, the rules bound with the business can be freely combined, the rule factors of the synthesis rules can be repeatedly and practically used for a plurality of rules, new rules do not need to be re-developed, the rule factors of the synthesis rules only need to be re-typeset, and development and operation and maintenance costs are reduced.
According to one embodiment of the invention, the rules are formed as specific logic to handle the data flow of the internet of things. And the rules correspondingly process the Internet of things services of the Internet of things data streams.
That is to say, the rule may be used as a specific logic for processing the data stream of the internet of things, and the rule may correspond to the internet of things service for processing the data stream of the internet of things of the same type. The logic for processing the data flow of the Internet of things can be universal and unique, and the later maintenance is ensured to be clearer and simpler.
In some embodiments of the invention, each rule is formed by a free combination of at least two rule factors.
In other words, each rule may be formed by a free combination of at least two rule factors. Specifically, each rule can be formed by freely combining a group of rule factors, the rules can be freely combined through the rule factors according to actual business requirements, a new rule does not need to be re-developed, and development cost is reduced.
According to one embodiment of the invention, the same rule factor corresponds to multiple rules for reuse.
That is to say, the same rule factor can correspond to a plurality of rules, each rule factor of the synthesized rule can be reused for the plurality of rules, the logic dependence reuse of the business in the vehicle between the rules is ensured, the rule processing flow is equivalent to a processing chain, if the business needs to be added or modified, the rule factor of the synthesized rule only needs to be typeset again, a new rule does not need to be redeveloped, and the development and operation and maintenance cost is reduced.
According to one embodiment of the present invention, a method of performing arithmetic processing on a rule and outputting and saving a result of the arithmetic processing includes:
embedding the rule into a calculation engine for operation processing;
and storing the result of the operation processing in a relational database or a storage medium.
In other words, in the process of performing operation processing on the rule and outputting and storing the result of the operation processing, first, the rule may be embedded in a calculation engine to perform the operation processing, and the calculation engine may employ a streaming calculation engine. Then, the result of the arithmetic processing may be saved to a relational database or a storage medium.
In summary, according to the rule processing method 100 based on the data flow of the internet of things in the embodiment of the present invention, a free combination policy is provided, so that the rules bound with the service can be freely combined, and meanwhile, the rule factors of the synthesis rule can be repeatedly used for multiple rules, and only the rule factors of the synthesis rule need to be typeset again without newly developing new rules, thereby reducing the development and operation and maintenance costs.
The rule processing device 200 based on the data flow of the internet of things according to the second aspect of the present invention includes an obtaining module 210, a classifying module 220, a restructuring module 230, and a calculating module 240.
Specifically, the obtaining module 210 is configured to obtain data of the internet of things and form a data stream of the internet of things, the classifying module 220 is configured to classify the data stream of the internet of things, the recombining module 230 is configured to freely combine rule factors to generate a rule bound to a service of the internet of things, and the calculating module 240 is configured to perform operation processing on the rule.
In other words, as shown in fig. 2, the rule processing apparatus 200 based on data flow of the internet of things according to the embodiment of the present invention is mainly composed of an obtaining module 210, a classifying module 220, a restructuring module 230, and a calculating module 240. The obtaining module 210 may be configured to obtain the data of the internet of things and form a data stream of the internet of things. The classification module 220 may be configured to classify the internet of things data streams, so that each type of network data stream may be matched with a corresponding internet of things service. The recombination module 230 can be used for freely combining the rule factors to generate a rule bound with the service of the internet of things, so that the same rule factor can correspond to a plurality of rules, each rule factor of the synthesized rule can be reused for the plurality of rules, the logic dependence of the service in the vehicle between the rules is reused, the rule processing flow is equivalent to a processing chain, if the service needs to be added or modified, only the rule factor of the synthesized rule needs to be typeset again, a new rule does not need to be redeveloped, and the development and operation and maintenance costs are reduced. The calculation module 240 may be configured to perform operation processing on the rule and store the result of the operation processing in a relational database or a storage medium.
In some embodiments of the present invention, the calculation module 240 includes a calculation unit 241, an output unit 242, and a storage unit 243.
Specifically, the calculation unit 241 is configured to perform an operation on the rule, the output unit 242 is configured to output a result of the operation processing, and the storage unit 243 is configured to store a result of the operation processing.
That is, the calculation module 240 is mainly composed of a calculation unit 241, an output unit 242, and a storage unit 243. Among them, the calculating unit 241 may be configured to operate on the rule, the outputting unit 242 may be configured to output a result of the operation processing, and the storing unit 243 may be configured to store a result of the operation processing.
In addition, an embodiment of the present invention further provides a computer storage medium, where the computer storage medium includes one or more computer instructions, and when executed, the one or more computer instructions implement any of the data processing methods described above.
That is, the computer storage medium stores a computer program, which, when executed by the processor 320, causes the processor 320 to execute any of the data processing methods described above.
As shown in fig. 3, an embodiment of the present invention provides an electronic device 300, which includes a memory 310 and a processor 320, where the memory 310 is configured to store one or more computer instructions, and the processor 320 is configured to call and execute the one or more computer instructions, so as to implement any one of the methods described above.
That is, the electronic device 300 includes: a processor 320 and a memory 310, in which memory 310 computer program instructions are stored, wherein the computer program instructions, when executed by the processor 320, cause the processor 320 to perform any of the methods described above.
Further, as shown in fig. 3, the electronic device 300 further includes a network interface 330, an input device 340, a hard disk 350, and a display device 360.
The various interfaces and devices described above may be interconnected by a bus architecture. A bus architecture may be any architecture that may include any number of interconnected buses and bridges. One or more Central Processing Units (CPUs), represented in particular by processor 320, and one or more memories 310, represented by memory 310, are coupled together for various circuits. The bus architecture may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like. It will be appreciated that a bus architecture is used to enable communications among the components. The bus architecture includes a power bus, a control bus, and a status signal bus, in addition to a data bus, all of which are well known in the art and therefore will not be described in detail herein.
The network interface 330 may be connected to a network (e.g., the internet, a local area network, etc.), and may obtain relevant data from the network and store the relevant data in the hard disk 350.
The input device 340 may receive various commands input by an operator and send the commands to the processor 320 for execution. The input device 340 may include a keyboard or a pointing device (e.g., a mouse, a trackball, a touch pad, a touch screen, or the like).
The display device 360 may display the result of the instructions executed by the processor 320.
The memory 310 is used for storing programs and data necessary for operating the operating system 311, and data such as intermediate results in the calculation process of the processor 320.
It will be appreciated that memory 310 in embodiments of the invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. The memory 310 of the apparatus and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory 310.
In some embodiments, memory 310 stores the following elements, executable modules or data structures, or a subset thereof, or an expanded set thereof: an operating system 311 and application programs 312.
The operating system 311 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, and is used for implementing various basic services and processing hardware-based tasks. The application programs 312 include various application programs 312, such as a Browser (Browser), and the like, for implementing various application services. A program implementing methods of embodiments of the present invention may be included in application 312.
The processor 320 may obtain data of the internet of things and form a data stream of the internet of things when invoking and executing the application program 312 and the data stored in the memory 310, specifically, the application program or the instruction stored in the application program 312; classifying the Internet of things data flow and corresponding to different Internet of things services; extracting rule factors according to the Internet of things services and freely combining the rule factors to generate rules bound with the Internet of things services; and performing operation processing on the rule and outputting and storing the result of the operation processing.
The method disclosed by the above embodiment of the present invention can be applied to the processor 320, or implemented by the processor 320. Processor 320 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 320. The processor 320 may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof, and may implement or perform the methods, steps, and logic blocks disclosed in the embodiments of the present invention. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 310, and the processor 320 reads the information in the memory 310 and completes the steps of the method in combination with the hardware.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units designed to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in memory 310 and executed by processor 320. The memory 310 may be implemented in the processor 320 or external to the processor 320.
In particular, the processor 320 is also configured to read the computer program and execute any of the methods described above.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be physically included alone, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute some steps of the transceiving method according to various embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "illustrative embodiments," "preferred embodiments," "detailed description," or "preferred embodiments" or the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A rule processing method based on data flow of the Internet of things is characterized by comprising the following steps:
acquiring Internet of things data and forming an Internet of things data stream;
classifying the Internet of things data flow and corresponding to different Internet of things services;
extracting rule factors according to the Internet of things services and freely combining the rule factors to generate rules bound with the Internet of things services;
and performing operation processing on the rule and outputting and storing the result of the operation processing.
2. The method for processing the rules based on the data flow of the internet of things as claimed in claim 1, wherein the rules are formed as specific logic for processing the data flow of the internet of things.
3. The method for processing rules based on data flows of the internet of things as claimed in claim 1, wherein the rules are used for processing the internet of things services of a type of the data flows of the internet of things.
4. The method of claim 1, wherein each rule is formed by freely combining at least two rule factors.
5. The method of claim 1, wherein the same rule factor corresponds to a plurality of rules for reuse.
6. The rule processing method based on the data flow of the internet of things according to claim 1, wherein performing operation processing on the rule and outputting and saving the result of the operation processing comprises:
implanting the rule into a calculation engine for operation processing;
and storing the result of the operation processing into a relational database or a storage medium.
7. The method for processing rules based on data flow of internet of things of claim 6, wherein the computing engine is formed as a streaming computing engine.
8. The utility model provides a rule processing apparatus based on thing networking data flow which characterized in that includes:
the acquisition module is used for acquiring the data of the Internet of things and forming an Internet of things data stream;
a classification module to classify the internet of things data stream;
the recombination module is used for freely combining the rule factors to generate a rule bound with the service of the Internet of things;
and the calculation module is used for carrying out operation processing on the rule.
9. The internet of things data flow-based rule processing device of claim 8, wherein the computing module comprises:
a calculation unit for operating on the rule;
an output unit configured to output a result of the arithmetic processing;
a storage unit for storing a result of the arithmetic processing.
10. A computer storage medium comprising one or more computer instructions that when executed perform the method for rule processing based on internet of things data flow of any of claims 1-7.
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| CN113821361A (en) * | 2021-11-24 | 2021-12-21 | 中节能晶和智慧城市科技(浙江)有限公司 | Internet of things platform message processing method and system based on streaming processing |
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| CN113821361A (en) * | 2021-11-24 | 2021-12-21 | 中节能晶和智慧城市科技(浙江)有限公司 | Internet of things platform message processing method and system based on streaming processing |
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