CN111611286A - Streaming data processing method for industrial Internet of things scene - Google Patents
Streaming data processing method for industrial Internet of things scene Download PDFInfo
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Abstract
The embodiment of the invention provides a streaming data processing method for an industrial Internet of things scene, which comprises the following steps: a data flow determining step, configured to generate a data table for each internet of things device in a database, where the data table at least includes: the identification corresponding to the equipment ID of the Internet of things, a date field for identifying the acquisition time of data and an information point field for identifying each information point ID; a rule determining step: the system comprises a database, a data processing and storing module and a data processing and storing module, wherein the data processing and storing module is used for determining streaming data processing and storing rules so as to convert business requirements into SQL statements and perform conditional retrieval on the database; unified access interface UAPI determining step: and the UAPI is used for generating UAPI which is provided by the server side of the Internet of things platform to the acquisition terminal for real-time data uploading.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a streaming data processing method for an industrial Internet of things scene.
Background
With the rapid development of intelligent manufacturing, industrial internet of things and artificial intelligent equipment, the information amount in industrial production is in an explosive growth situation, and the data types are also diversified. For example, in business applications such as internet of things environment monitoring, equipment monitoring and analysis, unmanned equipment inspection, power transmission and transformation state monitoring, power utilization information acquisition monitoring and the like, a large amount of data can be generated; in practice, these data need to be incrementally processed in time sequence for a variety of analyses, including correlation, aggregation, screening and sampling. This type of data, called streaming data, has the following characteristics: 1) data occurs continuously, arriving in real time; 2) the data arrival sequence is independent and is not controlled by an application system; 3) the data size is large and its maximum cannot be predicted.
For the processing of streaming data, early approaches were to develop applications based on relational databases, such as primary processing of collecting ambient temperature and performing rolling calculations min-max; however, as the management requirements increase, these applications need to develop more complex near real-time processing, which, in addition to generating simple reports and issuing alarms when a certain threshold is exceeded, also perform more complex forms of data analysis, such as applying machine learning algorithms to extract more in-depth information from the data. At this time, the application system based on the relational database is often insufficient in the aspects of instant storage, analysis and calculation, query performance and the like of the data, and a streaming data storage processing method which has high storage speed and high-efficiency compression algorithm and can provide functions such as grouping and aggregation operation and the like for hundred million-level data aiming at the characteristics of the streaming data is urgently needed.
Disclosure of Invention
The embodiment of the invention provides a streaming data processing method for an industrial Internet of things scene, aiming at the problem that the streaming data under the industrial Internet of things scene is not effectively processed in the prior art.
In order to solve the above problem, an embodiment of the present invention provides a streaming data processing method for an industrial internet of things scene, including:
a data flow determining step, configured to generate a data table for each internet of things device in a database, where the data table at least includes: the identification corresponding to the equipment ID of the Internet of things, a date field for identifying the acquisition time of data and an information point field for identifying each information point ID;
a rule determining step: the system comprises a database, a data processing and storing module and a data processing and storing module, wherein the data processing and storing module is used for determining streaming data processing and storing rules so as to convert business requirements into SQL statements and perform conditional retrieval on the database;
unified access interface UAPI determining step: the UAPI is used for generating a UAPI which is provided by the Internet of things platform server side for the acquisition terminal to upload real-time data, wherein the UAPI is used for providing a uniform access interface for upper application service and forbidding SQL to directly access and shield specific implementation details and differences of a bottom database; each data stream corresponds to a UAPI, and the name and type format of the interface parameter of the UAPI are consistent with the corresponding data stream.
In some embodiments, the method further comprises:
the data transmission step is used for controlling the acquisition terminal to send real-time data of the Internet of things equipment to the server end of the Internet of things platform, processing the received data in real time through an interface parameter format of the UAPI, encrypting the processed data, and calling a getEwendingData interface API to send an Http request to the server end of the Internet of things platform to transmit the data; and after receiving the Http request content, the server end of the Internet of things platform firstly associates the Http request content with the corresponding data stream according to the received API name, then decrypts the data content, starts the multithreading service, and sends the decrypted data to the data stream corresponding to the streaming database system.
In some embodiments, the method further comprises:
after receiving streaming data of a server side of an Internet of things platform, a database identifies the streaming data to determine a rule corresponding to the streaming data; and processing the streaming data according to the rule determined by the rule determining step.
In some embodiments, the method further comprises:
analyzing the streaming data according to the rule to determine whether the streaming media conforms to the rule, and if so, storing the streaming data into a corresponding data table of a database; streaming data that does not meet the rules is deleted and logged.
In some embodiments, the method further comprises:
a data storage step, which is used for accessing and managing the data in the database; the data storage step is used for performing batch parallel insertion on the streaming book after the streaming data is processed according to the rule determined in the rule determination step; and the data storage step is also used for compressing and storing the data.
In some embodiments, the method further comprises:
an abnormal data processing step, which is used for scanning the log of the server end of the Internet of things platform according to a preset rule so as to determine streaming data which does not accord with the rule; and performing machine learning on the streaming data which does not accord with the rule so as to correct or complement the data of the streaming data which does not accord with the rule.
In some embodiments, the method further comprises:
and a data channel establishing step, namely establishing a data transmission channel between the acquisition terminal and the Internet of things platform server end through a connection certificate and an encryption mode.
The technical scheme of the invention has the following beneficial effects: the technical scheme provides a streaming data processing method for industrial Internet of things scenes, which is suitable for scenes such as high-frequency streaming data processing and high-concurrency storage of industrial equipment and real-time exploration of streaming data, can be used for butt joint of massive streaming data generated in an industrial field, and supports TB-level and PB-level streaming data processing and storage. The streaming data processing and storing method provided by the invention is beneficial to enterprises to establish a more reliable and higher-performance industrial equipment data acquisition and analysis system, and further helps the enterprises to improve the production efficiency, the product quality and the equipment utilization rate, and provides reliable and stable guarantee for intelligent application, operation and maintenance of various production equipment.
Drawings
Fig. 1 is a data processing flow diagram of a streaming data processing method for an industrial internet of things scene according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The embodiment of the invention is suitable for scenes such as high-frequency streaming data processing and high concurrent storage of industrial equipment, real-time exploration of streaming data and the like, can be used for butt joint of massive streaming data generated in an industrial field, and supports TB-level and PB-level streaming data processing and storage. The streaming data processing and storing method provided by the embodiment of the invention is beneficial to enterprises to establish a more reliable and higher-performance industrial equipment data acquisition and analysis system, further helps the enterprises to improve the production efficiency, the product quality and the equipment utilization rate, and provides reliable and stable guarantee for intelligent application, operation and maintenance of various production equipment.
The streaming data processing and storing method provided by the invention is simple to apply and efficient to execute for application personnel.
In order to meet the requirements of real-time high-concurrency processing and storage of streaming data generated by various sensors or industrial production equipment in an industrial internet of things application scene, the embodiment of the invention provides a method for processing and storing massive streaming data, and the specific implementation process relates to an internet of things platform and a streaming database system.
The internet of things platform is divided into a server and an acquisition terminal, the server is used for establishing an equipment data transmission channel and performing data interaction with a streaming database system, and the acquisition terminal is used for acquiring production data of an industrial field in the modes of Ethernet, telecommunication network and the like and transmitting the production data to the server; the streaming database system is used for receiving streaming data transmitted by the Internet of things platform, processing and storing the streaming data. The invention relates to a method for processing and storing streaming data in an industrial Internet of things scene, which comprises the following steps: the method comprises 8 steps of data flow definition, rule definition, UAPI interface definition, rule execution, data transmission, abnormal data processing, data storage and security guarantee, and the specific flow is shown in FIG. 1 and comprises the following steps:
1. data flow definition: the step is mainly used for defining the data format of the streaming data, and establishing a data stream (similar to establishing a data table) for the device needing to be acquired in the streaming database system in a targeted manner, wherein each data stream at least comprises a date field for identifying the acquisition time of the data and an information point field for identifying each information point ID. For example, for the welding machine equipment in a welding workshop, three information points of the welding machine equipment are acquired according to the service requirement: current, voltage and temperature; firstly, defining a data stream name as eweldng in a streaming database system; then establishing a data acquisition time field gettime, wherein the type is a time type; and then establishing 3 fields of electric, voltage and temperature, wherein the type is numerical type and is used for storing the current, voltage and temperature information uploaded to the electric welding machine equipment.
2. Rule definition: the step is used for defining the rules of processing and storing the streaming data and converting the business requirements into an SQL statement mode for realization. For example, a rule may be defined to retrieve data with a temperature greater than 30 degrees and less than 50 degrees, or a rule may be defined to convert a temperature in degrees fahrenheit to a temperature in degrees celsius, or a rule may be defined that the piece of data cannot be stored when a field is empty. In the rule definition process, functions such as mathematical operators, averages, maximums, minimums, counts, partitions, groupings, and the like may be employed. Before the rules are submitted formally, the rules can be debugged, and the SQL can be debugged very conveniently by using an SQL debugging tool. After debugging is passed, the rule command can be submitted for execution by being created.
3. Unified access interface UAPI interface definition: the UAPI is an interface provided by the Internet of things platform server side for real-time data uploading of the acquisition terminal, shields specific implementation details and differences of a bottom database, does not allow SQL (structured query language) to directly access, and provides a uniform access interface for external application service. And for the defined data streams, each data stream defines an interface, and the name and type format of the interface parameter are consistent with those of the corresponding data stream. For example, for the business requirement of collecting data of the electric welding machine, an interface named geteweldngdata may be defined, 4 parameters, namely gettime, electric, voltage and temperature, may be set according to the corresponding data stream, and parameters such as response time, the acceptable maximum connection number, the maximum connection duration and the transmission frequency may be set. And after the API interface is defined, the API interface is released on the Internet of things platform for the acquisition terminal to call.
4. Data transmission: the step refers to a process that an acquisition terminal of the Internet of things platform transmits real-time data of equipment to a server. The acquisition terminal simply processes the acquired equipment data according to the format agreed by the UAPI interface, organizes the content according to the interface parameter format, for example, the organized data content of a certain electric welding machine is (2020-03-1211: 23:21,55,220,39), then encrypts the data, and calls a getEwendingData interface API to send an Http request to the server to transmit the data. And after receiving the Http request content, the server firstly associates the Http request content with the corresponding data stream according to the received API name, then decrypts the data content, starts the multithreading service, and sends the decrypted data to the data stream corresponding to the streaming database system.
5. And (3) executing a rule: after receiving the content transmitted by the Internet of things platform, the streaming database system performs data stream authentication first and then triggers a rule associated with the data stream. The stream database system carries out data processing according to a defined rule, and data which accord with the rule are left and stored in a corresponding data table of the stream database system; data flows that do not comply with the rules are discarded and logged.
6. Data storage: the purpose of this step is to realize the storage and management of data by the streaming database system. The streaming database system performs batch parallel insertion on the data processed by the rules, so that the streaming data is efficiently stored; the data compression function can be selected according to the actual situation, and the data is compressed and stored, so that the disk space is saved; the streaming database system performs optimization processing on data query, supports high-efficiency complex query of streaming data, and can perform fragment storage according to time dimension for large-capacity data stream so as to improve query response time.
7. And (3) exception data processing: the method comprises the steps that logs are scanned at regular time by an internet of things platform, rules are obtained through machine learning aiming at streaming data thrown away by a streaming database system, the data are corrected or completed, then the data are sent to the streaming database system again to be processed, the data are stored into a data table corresponding to the streaming database system after the data pass through the rule verification, if the data do not pass through the rule verification, the logs are thrown away and recorded, and the processing is not carried out any more. And marking and distinguishing the streaming data which passes the rule verification in the secondary processing, and enabling a subsequent data manager to perform auditing and correction on the Internet of things platform.
8. Safety assurance
In order to avoid data leakage caused by illegal connection invasion in the whole system process, a connection certificate and an encryption mode are adopted to ensure safety aiming at a message transmission channel established when data interaction is carried out between an equipment data acquisition terminal and a server; the data interaction between the streaming database system and the Internet of things platform guarantees the safety of the streaming database system and the Internet of things platform by means of identity authentication, access control, safety audit and the like.
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 (7)
1. A streaming data processing method for an industrial Internet of things scene is characterized by comprising the following steps:
a data flow determining step, configured to generate a data table for each internet of things device in a database, where the data table at least includes: the identification corresponding to the equipment ID of the Internet of things, a date field for identifying the acquisition time of data and an information point field for identifying each information point ID;
a rule determining step: the system comprises a database, a data processing and storing module and a data processing and storing module, wherein the data processing and storing module is used for determining streaming data processing and storing rules so as to convert business requirements into SQL statements and perform conditional retrieval on the database;
unified access interface UAPI determining step: the UAPI is used for generating a UAPI which is provided by the Internet of things platform server side for the acquisition terminal to upload real-time data, wherein the UAPI is used for providing a uniform access interface for upper application service and forbidding SQL to directly access and shield specific implementation details and differences of a bottom database; each data stream corresponds to a UAPI, and the name and type format of the interface parameter of the UAPI are consistent with the corresponding data stream.
2. The streaming data processing method for the industrial internet of things scene according to claim 1, further comprising:
the data transmission step is used for controlling the acquisition terminal to send real-time data of the Internet of things equipment to the server end of the Internet of things platform, processing the received data in real time through an interface parameter format of the UAPI, encrypting the processed data, and calling a getEwendingData interface API to send an Http request to the server end of the Internet of things platform to transmit the data; and after receiving the Http request content, the server end of the Internet of things platform firstly associates the Http request content with the corresponding data stream according to the received API name, then decrypts the data content, starts the multithreading service, and sends the decrypted data to the data stream corresponding to the streaming database system.
3. The streaming data processing method for the industrial internet of things scene as recited in claim 2, further comprising:
after receiving streaming data of a server side of an Internet of things platform, a database identifies the streaming data to determine a rule corresponding to the streaming data; and processing the streaming data according to the rule determined by the rule determining step.
4. The streaming data processing method for the industrial internet of things scene as recited in claim 3, further comprising:
analyzing the streaming data according to the rule to determine whether the streaming media conforms to the rule, and if so, storing the streaming data into a corresponding data table of a database; streaming data that does not meet the rules is deleted and logged.
5. The streaming data processing method for the industrial internet of things scene as recited in claim 3, further comprising:
a data storage step, which is used for accessing and managing the data in the database; the data storage step is used for performing batch parallel insertion on the streaming book after the streaming data is processed according to the rule determined in the rule determination step; and the data storage step is also used for compressing and storing the data.
6. The streaming data processing method for the industrial internet of things scene as recited in claim 4, further comprising:
an abnormal data processing step, which is used for scanning the log of the server end of the Internet of things platform according to a preset rule so as to determine streaming data which does not accord with the rule; and performing machine learning on the streaming data which does not accord with the rule so as to correct or complement the data of the streaming data which does not accord with the rule.
7. The streaming data processing method for the industrial internet of things scene as recited in claim 4, further comprising:
and a data channel establishing step, namely establishing a data transmission channel between the acquisition terminal and the Internet of things platform server end through a connection certificate and an encryption mode.
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