CN115712618B - DCS system data processing and uploading method, system and storage medium - Google Patents
DCS system data processing and uploading method, system and storage medium Download PDFInfo
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Abstract
The application provides a processing and uploading method, a system and a storage medium of DCS system data. Belonging to the technical field of DCS data acquisition and big data processing, the method comprises the following steps: the method comprises the steps of linking with a DCS system, receiving a plurality of appointed point location data, pushing the appointed point location data to a queue to be processed, cleaning, filtering and correcting according to a data filtering model and preset filtering conditions, pushing the appointed point location data to the queue to be compressed, carrying out point location compression on the data to be compressed according to compression dimensions to obtain point location compression data packets and identification, sending the point location compression data packets to a persistence database for temporary storage, uploading the point location compression data packets to an IOT platform according to the temporary storage queue, and updating the persistence database according to feedback information after uploading is successful; therefore, the data of the appointed point positions are arranged, filtered, cleaned, compressed and uploaded, the technologies of sorting, filtering and screening, compression reduction and product reduction and broken line retransmission of the data are realized, and the pressure of the IOT reporting channel is reduced.
Description
Technical Field
The application relates to the technical field of DCS data acquisition and big data processing, in particular to a method, a system and a storage medium for processing and uploading DCS system data.
Background
The DCS (distributed control system) generally adopts a plurality of controllers to control a plurality of control points in a production process, the controllers are connected by a network and can exchange data, the production control operation adopts a computer operation station, and the controllers are connected by the network to collect production data and transmit operation instructions. The DCS control point refers to all signals received, processed and outputted by the DCS system, which is an input/output point, i.e. a collection or control and communication point, divided into AI, AO, DI, D, OPI and other communication points, OPC (Open Platform Communications) is a set of software technologies, providing a single and unified interface for controlling various devices and exchanging data, and OPC DA data access standards are the most common standards describing a set of functions for exchanging data with PLC, DCS, HMI, CNC and other devices in real time, and OPC DA servers provide data exchange (writing and reading) between client programs and terminal devices. The data collected by the OPC DA is a tag variable with certain properties, which may be any type allowed in OLE, including various integer and real types, boolean values, strings, dates, arrays, etc.
When the DCS system is subjected to data acquisition through the OPC DA, the data volume is huge, the short-time concurrency volume is huge, and the following problems can occur in the actual butt joint time: the data reported by single point location fixed frequency can not be filtered, so that the IOT platform interface is subjected to huge concurrence and congestion; when the DCS is disconnected with the DCS, the data which are not received cannot be acquired and the data need to be acquired again; when uploading data with the IOT platform, the data with interrupted or failed uploading cannot be queued for retransmission.
In view of the above problems, an effective technical solution is currently needed.
Disclosure of Invention
The embodiment of the application aims to provide a processing uploading method, a processing uploading system and a storage medium for DCS system data, which can be used for sorting, filtering, cleaning, compressing and uploading appointed point location data, realizing sorting, filtering, screening, compressing and reducing product and broken line retransmission of the data, effectively filtering the data, reducing the pressure of an IOT reporting channel, caching unreported data and carrying out broken line retransmission on unreported data.
The embodiment of the application also provides a processing and uploading method of the DCS system data, which comprises the following steps:
linking with a DCS (distributed control system) through an OPC DA (optical control and data acquisition) protocol, acquiring designated point positions from the DCS, and receiving data of a plurality of designated point positions pushed by the DCS;
Extracting and pushing the appointed point location data to a queue table to be processed and sorting;
extracting the appointed point location data from the queue to be processed through a preset data processing container, and cleaning and filtering according to a data filtering model and preset filtering conditions;
correcting the data of the appointed point positions which are subjected to cleaning and filtering, and pushing the corrected data to a queue table to be compressed;
performing point-location compression on the data to be compressed in the queue to be compressed according to the compression dimension to obtain a point-location compressed data packet;
identifying the compressed point location compressed data packet, and sending the point location compressed data packet to a persistence database for temporary storage to obtain a temporary queue table;
uploading the point compressed data packets in the persistent database to an IOT platform according to the temporary queue list, updating the persistent database in real time according to feedback information of the IOT platform after the uploading is successful, and continuously uploading the point compressed data packets which are not uploaded.
Optionally, in the method for processing and uploading DCS system data in the embodiment of the present application, the extracting and pushing the specified point location data to a queue table to be processed and sorting includes:
Extracting a plurality of appointed point position data pushed by a DCS system, wherein the appointed point position data comprises measurement point data, control point data and communication point data;
processing according to the measurement point data, the control point data and the communication point data to obtain a process point position level coefficient;
pushing the appointed point location data and the corresponding process point location level coefficients into a queue table to be processed;
and sorting the plurality of appointed point location data in the queue to be processed according to the corresponding process point location level coefficient.
Optionally, in the method for processing and uploading DCS system data in the embodiment of the present application, the extracting, by a preset data processing container, the specified point location data from the queue to be processed, and cleaning and filtering according to a data filtering model and a preset filtering condition, includes:
extracting corresponding appointed point location data from the queue to be processed through a preset data processing container according to the ordering of the appointed point location data;
obtaining a data filtering model, cleaning and filtering the appointed point location data according to a preset filtering condition by the data filtering model, and screening out the same data and unchanged data;
And removing the same data and unchanged data screened out from the specified point position data to obtain cleaning and filtering point position data after cleaning and filtering.
Optionally, in the method for processing and uploading DCS system data in the embodiment of the present application, the correcting the data of the designated point location after completing the cleaning and filtering, and pushing the corrected data to the queue table to be compressed includes:
correcting the cleaning and filtering point position data and the process point position level coefficient;
the correction calculation formula of the cleaning and filtering point position data is as follows:
wherein
For the modified clean filter point location data,
in order to clean the filtered point location data,
the correction coefficient is preset;
and pushing the corrected cleaning and filtering point position data to a queue table to be compressed to obtain the data to be compressed.
Optionally, in the method for processing and uploading DCS system data in the embodiment of the present application, performing point-location compression on the data to be compressed in the queue to be compressed according to the compression dimension to obtain a point-location compressed data packet, including:
acquiring corresponding compressed dimension information from a persistence database according to the process point level coefficient;
extracting a point location compression mode from the compression dimension information;
And compressing the corresponding data to be compressed in the queue to be compressed according to the point location compression mode to obtain a point location compression data packet.
Optionally, in the method for processing and uploading DCS system data in the embodiment of the present application, the identifying the compressed point location compressed data packet, and sending the point location compressed data packet to a persistent database for temporary storage, to obtain a temporary queue table, includes:
generating compressed packet identification information according to the capacity information, the point identifier information and the sequence number of the queue table to be compressed of the point compressed data packet;
identifying the point compressed data packet according to the compressed packet identification information;
sending the point compressed data packet with the identifier to a persistence database for temporary storage;
and the persistence database performs list according to the received point location compressed data packet to generate a temporary queue list.
Optionally, in the method for processing and uploading DCS system data in the embodiment of the present application, uploading the point location compressed data packet in the persistent database to the IOT platform according to the temporary queue table, updating the persistent database in real time according to feedback information of the IOT platform after the uploading is successful, and continuously uploading the point location compressed data packet that is not yet uploaded, including:
Uploading the point location compressed data packets in the persistent database to an IOT platform according to the list order of the temporary queue list;
if the IOT platform receives the point location compression data packet, feeding back feedback information corresponding to the point location compression data packet to the persistence database;
the persistent database updates the temporary queue table in real time according to the feedback information;
if the uploading of the point compressed data packet is interrupted or fails, marking the uploading state of the point compressed data packet corresponding to the temporary storage queue table as to be uploaded again;
and uploading the point compressed data packet to be re-uploaded in the temporary queue table to the IOT platform again.
In a second aspect, an embodiment of the present application provides a DCS system data processing and uploading system, where the system includes:
and a data acquisition module: linking with a DCS (distributed control system) through an OPC DA (optical control and data acquisition) protocol, acquiring designated point positions from the DCS and receiving data of a plurality of designated point positions pushed by the DCS;
and a data cleaning module: cleaning, filtering and correcting the appointed point location data according to a data filtering model and preset filtering conditions;
and a data compression module: performing point-location compression on data to be compressed in a queue to be compressed according to the compression dimension to obtain a point-location compressed data packet;
The data temporary storage module: temporarily storing the identified point compressed data packet into a persistence database;
and a data uploading module: uploading the point compressed data packet to the IOT platform according to the temporary storage queue table, updating the persistent database in real time according to platform feedback information, and continuing uploading.
Optionally, in the DCS system data processing and uploading system according to the embodiment of the present application, the system further includes: the device comprises a memory and a processor, wherein the memory comprises a program of a processing uploading method of DCS system data, and the program of the processing uploading method of the DCS system data realizes the following steps when being executed by the processor:
linking with a DCS (distributed control system) through an OPC DA (optical control and data acquisition) protocol, acquiring designated point positions from the DCS, and receiving data of a plurality of designated point positions pushed by the DCS;
extracting and pushing the appointed point location data to a queue table to be processed and sorting;
extracting the appointed point location data from the queue to be processed through a preset data processing container, and cleaning and filtering according to a data filtering model and preset filtering conditions;
correcting the data of the appointed point positions which are subjected to cleaning and filtering, and pushing the corrected data to a queue table to be compressed;
Performing point-location compression on the data to be compressed in the queue to be compressed according to the compression dimension to obtain a point-location compressed data packet;
identifying the compressed point location compressed data packet, and sending the point location compressed data packet to a persistence database for temporary storage to obtain a temporary queue table;
uploading the point compressed data packets in the persistent database to an IOT platform according to the temporary queue list, updating the persistent database in real time according to feedback information of the IOT platform after the uploading is successful, and continuously uploading the point compressed data packets which are not uploaded.
In a third aspect, an embodiment of the present application further provides a readable storage medium, where the readable storage medium includes a DCS system data processing and uploading method program, where when the DCS system data processing and uploading method program is executed by a processor, the steps of a DCS system data processing and uploading method according to any one of the foregoing embodiments are implemented.
From the above, the method, system and storage medium for processing and uploading DCS system data provided in the embodiments of the present application. The method comprises the following steps: the method comprises the steps of linking with a DCS system, receiving a plurality of appointed point location data, pushing the appointed point location data to a queue to be processed, cleaning, filtering and correcting according to a data filtering model and preset filtering conditions, pushing the appointed point location data to the queue to be compressed, carrying out point location compression on the data to be compressed according to compression dimensions to obtain point location compression data packets and identification, sending the point location compression data packets to a persistence database for temporary storage, uploading the point location compression data packets to an IOT platform according to the temporary storage queue, and updating the persistence database according to feedback information after uploading is successful; therefore, the data of the appointed point positions are arranged, filtered, cleaned, compressed and uploaded, the sorting, filtering and screening, compression reduction and line breakage retransmission of the data are realized, the effective filtering of the data reduces the pressure of an IOT reporting channel, the unreported data are cached, and the line breakage retransmission is carried out on the unreported data.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for processing and uploading DCS system data provided in an embodiment of the present application;
FIG. 2 is a flowchart of a method for processing and uploading DCS system data, which is provided in an embodiment of the present application, for pushing specified point location data to a queue table to be processed and sorting the data;
FIG. 3 is a flowchart of a method for processing and uploading DCS system data according to an embodiment of the present application, wherein the method is used for cleaning and filtering according to a data filtering model and preset filtering conditions;
Fig. 4 is a schematic structural diagram of a DCS system data processing and uploading system according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a flowchart of a DCS system data processing and uploading method according to some embodiments of the present application. The processing and uploading method of the DCS system data is used in terminal equipment, such as mobile phones, computers and the like. The processing and uploading method of the DCS system data comprises the following steps:
s101, linking with a DCS (distributed control system) through an OPC DA (optical control and data acquisition) protocol, acquiring designated point positions from the DCS, and receiving data of a plurality of designated point positions pushed by the DCS;
s102, extracting and pushing the appointed point location data to a queue table to be processed and sorting;
s103, extracting the specified point location data from the queue to be processed through a preset data processing container, and cleaning and filtering according to a data filtering model and preset filtering conditions;
s104, correcting the specified point location data subjected to cleaning and filtering, and pushing the corrected specified point location data to a queue table to be compressed;
s105, performing point-to-be-compressed data in the to-be-compressed queue table according to the compression dimension to obtain a point-to-be-compressed data packet;
s106, marking the compressed point location compressed data packet, and sending the point location compressed data packet to a persistence database for temporary storage to obtain a temporary queue table;
And S107, uploading the point compressed data packets in the persistent database to an IOT platform according to the temporary queue list, updating the persistent database in real time according to feedback information of the IOT platform after the uploading is successful, and continuously uploading the point compressed data packets which are not uploaded.
It should be noted that, in order to reduce backlog and concurrency of uploading data to the IOT platform, the IOT platform performs arrangement uploading to the data to be transmitted, cleaning and compressing the data to be acquired, and sets a temporary storage database, if the uploading is successful or interrupted, temporary storage is to be transmitted, the pressure of the IOT reporting channel is reduced by effective filtering, compressing and temporary storage and slow transmission to the data, the data which is not reported and not acquired can be retransmitted in a broken line, the data which is not reported to the cache is linked with the DCS system through the OPC DA protocol, and a designated point is acquired from the DCS system, and a plurality of designated point data pushed by the DCS system are received, the designated point data is the data of the designated point pushed by the DCS system, the point is the input and output point of the DCS system, that is, the acquisition point, the control point or the communication point, extracting and pushing the collected designated point location data to a queue to be processed, sorting the data, extracting the designated point location data from the queue to be processed through a preset data processing container, cleaning and filtering according to a data filtering model and preset filtering conditions, correcting and pushing the cleaned and filtered designated point location data to the queue to be compressed, carrying out point location compression on the data to be compressed in the queue to be compressed according to compression dimensions to obtain a point location compressed data packet, identifying the data packet, sending the data packet to a persistence database for temporary storage to obtain a temporary storage queue, uploading the point location compressed data packet in the persistence database to an IOT platform according to the temporary storage queue, updating the persistence database in real time according to feedback information of the IOT platform after the uploading is successful, and continuously uploading the point compressed data packet which is not uploaded.
Referring to fig. 2, fig. 2 is a flowchart of a method for processing and uploading DCS system data in some embodiments of the present application, pushing specified point location data to a queue table to be processed and sorting. According to the embodiment of the invention, the specific point location data is extracted and pushed to a queue table to be processed and sorted, specifically:
s201, extracting a plurality of specified point location data pushed by a DCS system, wherein the specified point location data comprises measurement point data, control point data and communication point data;
s202, processing according to the measurement point data, the control point data and the communication point data to obtain a process point position level coefficient;
s203, pushing the appointed point location data and the corresponding process point location level coefficient into a queue table to be processed;
s204, sorting and sorting the plurality of appointed point location data in the to-be-processed queue table according to the corresponding process point location level coefficient.
It should be noted that, by extracting a plurality of designated point data pushed by the DCS system, that is, a plurality of acquisition points, control points and point data of communication points, performing calculation processing according to the extracted measurement point data, control point data and communication point data to obtain a process point level coefficient, where the process point level coefficient is the number of stages of the processing process of measuring point data, and the processing process of the point data is a processing technology mode of the point data, that is, an application processing means of the measurement points, the control points and the communication points reflects the technical attributes of the points, pushing the obtained plurality of designated point data and corresponding process point level coefficients into a queue to be processed, and sorting the obtained plurality of designated point data in the queue according to the process point level coefficient, thereby sorting the queue of the plurality of designated point data;
The calculation formula of the process point location level coefficient is as follows:
wherein,,
is the process point location level coefficient,
in order to measure the point data of the object,
in order to control the point data of the control point,
as the data of the communication point,
the coefficients are extracted for a predetermined process,
、
、
is a characteristic coefficient (the characteristic system is obtained through a preset process parameter library of the DCS system).
Referring to fig. 3, fig. 3 is a flowchart of a method for processing and uploading DCS system data according to some embodiments of the present application, wherein the method performs cleaning and filtering according to a data filtering model and a preset filtering condition. According to the embodiment of the invention, the specified point location data is extracted from the queue to be processed through a preset data processing container, and cleaning and filtering are performed according to a data filtering model and preset filtering conditions, specifically:
s301, extracting corresponding appointed point position data from the queue to be processed through a preset data processing container according to the ordering of the appointed point position data;
s302, obtaining a data filtering model, cleaning and filtering the appointed point location data according to a preset filtering condition and screening out the same data and unchanged data according to the data filtering model;
and S303, removing the same data and unchanged data screened out from the specified point position data to obtain cleaning and filtering point position data after cleaning and filtering.
In order to reduce resource waste and platform congestion caused by uploading invalid and repeated data, the designated point location data in the queue table is cleaned and filtered through a data filtering model in a preset data processing container so as to clean and filter the same uploaded data and the data which is not transmitted and changed after the uploading is finished, cleaned and filtered point location data is obtained, the data filtering model is a model in the preset data processing container, is obtained through training by comparing and screening a large number of historical uploaded data and the data which is to be uploaded, cleaning and filtering are carried out according to the corresponding filtering conditions of the historical data cleaning and filtering, and the same data and the unchanged data can be screened out according to the preset filtering conditions by the data filtering model aiming at the designated point location data extracted from the queue table to obtain the cleaned and filtered point location data.
According to the embodiment of the invention, the data of the designated point location which is subjected to cleaning and filtering is corrected and pushed to the queue table to be compressed, specifically:
correcting the cleaning and filtering point position data and the process point position level coefficient;
the correction calculation formula of the cleaning and filtering point position data is as follows: 
Wherein
For the modified clean filter point location data,
in order to clean the filtered point location data,
the correction coefficient is preset;
and pushing the corrected cleaning and filtering point position data to a queue table to be compressed to obtain the data to be compressed.
After the point location data after cleaning and filtering is obtained, before the next compression, the weighting of the process level is not reflected by the cleaning and filtering data due to different process point location levels corresponding to different point locations, the cleaning and filtering point location data is corrected according to the process point location level coefficient corresponding to the point location to obtain corrected cleaning and filtering point location data, and the corrected cleaning and filtering point location data is pushed to a queue to be compressed to obtain data to be compressed, and the next data compression processing is waited.
According to the embodiment of the invention, the point-to-be-compressed data in the to-be-compressed queue table is subjected to point-to-point compression according to the compression dimension to obtain a point-to-point compressed data packet, which specifically comprises:
acquiring corresponding compressed dimension information from a persistence database according to the process point level coefficient;
extracting a point location compression mode from the compression dimension information;
and compressing the corresponding data to be compressed in the queue to be compressed according to the point location compression mode to obtain a point location compression data packet.
It should be noted that, compressing the point location data to obtain the smallest possible volume of the compressed packet, providing a basis for subsequent miniaturized fast uninterrupted uploading, extracting the compression mode of the point location data according to the compression dimension information, where the compression dimension information is corresponding setting according to the process point location level of the point location data, that is, obtaining the corresponding compression dimension information in the persistence database according to the process point location level coefficient, extracting the point location compression mode in the compression dimension information, and then compressing the corresponding data to be compressed in the queue table according to the point location compression mode to obtain the point location compressed packet, so as to obtain the point location data compressed packet with the compression mode set according to the process point location level.
According to the embodiment of the invention, the compressed point location compressed data packet is identified, and the point location compressed data packet is sent to a persistent database for temporary storage, so as to obtain a temporary queue table, which specifically comprises:
generating compressed packet identification information according to the capacity information, the point identifier information and the sequence number of the queue table to be compressed of the point compressed data packet;
identifying the point compressed data packet according to the compressed packet identification information;
Sending the point compressed data packet with the identifier to a persistence database for temporary storage;
and the persistence database performs list according to the received point location compressed data packet to generate a temporary queue list.
The method includes the steps that collected appointed point location data corresponds to point location identifier information, the point location identifier information reflects location and identification of points, compressed point location compression data packets are distinguished so as to be temporarily stored and queued in a list, compressed packet identification information is generated according to compressed capacity information of the point location compression data packets and combined with the point location identifier information and sequence numbers of a queue to be compressed, the point location compression data packets are correspondingly identified, the point location compression data packets with the identification are sent to a persistence database to be temporarily stored, and the persistence database carries out list according to each received point location compression data packet to generate a temporary queue list so as to be uploaded according to the list in the next step.
According to the embodiment of the invention, the uploading of the point location compressed data packet in the persistent database to the IOT platform according to the temporary queue table is performed, the real-time updating of the persistent database is performed according to the feedback information of the IOT platform after the uploading is successful, and the uploading of the point location compressed data packet which is not yet uploaded is continued, specifically:
Uploading the point location compressed data packets in the persistent database to an IOT platform according to the list order of the temporary queue list;
if the IOT platform receives the point location compression data packet, feeding back feedback information corresponding to the point location compression data packet to the persistence database;
the persistent database updates the temporary queue table in real time according to the feedback information;
if the uploading of the point compressed data packet is interrupted or fails, marking the uploading state of the point compressed data packet corresponding to the temporary storage queue table as to be uploaded again;
and uploading the point compressed data packet to be re-uploaded in the temporary queue table to the IOT platform again.
It should be noted that, uploading the point location compressed data packets in the persistent database to the IOT platform according to the list sequence of the temporary queue table, if the IOT platform receives the point location compressed data packets, feeding back the corresponding feedback information to the persistent database, updating the temporary queue table in real time according to the feedback information, if the uploading of the compressed data packets is interrupted or failed, marking the uploading state of the compressed data packets corresponding to the temporary queue table as to be re-uploaded, minimizing the compression of the point location data into small-volume compressed packets, marking and managing the uploaded compressed data packets by establishing the queue table, and caching and uploading the uploaded compressed data packets by the persistent database, thereby solving the problem of broken line retransmission.
As shown in fig. 4, the present invention also discloses a DCS system data processing and uploading system 4, which comprises:
the data acquisition module 401: linking with a DCS (distributed control system) through an OPC DA (optical control and data acquisition) protocol, acquiring designated point positions from the DCS and receiving data of a plurality of designated point positions pushed by the DCS;
data cleansing module 402: cleaning, filtering and correcting the appointed point location data according to a data filtering model and preset filtering conditions;
data compression module 403: performing point-location compression on data to be compressed in a queue to be compressed according to the compression dimension to obtain a point-location compressed data packet;
the data temporary storage module 404: temporarily storing the identified point compressed data packet into a persistence database;
data upload module 405: uploading the point compressed data packet to the IOT platform according to the temporary storage queue table, updating the persistent database in real time according to platform feedback information, and continuing uploading.
According to the embodiment of the invention, the processing and uploading system of the DCS system data further comprises: the processing uploading method of the DCS system data comprises a memory and a processor, wherein the memory comprises a processing uploading method program of the DCS system data, and the processing uploading method program of the DCS system data realizes the following steps when being executed by the processor:
Linking with a DCS (distributed control system) through an OPC DA (optical control and data acquisition) protocol, acquiring designated point positions from the DCS, and receiving data of a plurality of designated point positions pushed by the DCS;
extracting and pushing the appointed point location data to a queue table to be processed and sorting;
extracting the appointed point location data from the queue to be processed through a preset data processing container, and cleaning and filtering according to a data filtering model and preset filtering conditions;
correcting the data of the appointed point positions which are subjected to cleaning and filtering, and pushing the corrected data to a queue table to be compressed;
performing point-location compression on the data to be compressed in the queue to be compressed according to the compression dimension to obtain a point-location compressed data packet;
identifying the compressed point location compressed data packet, and sending the point location compressed data packet to a persistence database for temporary storage to obtain a temporary queue table;
uploading the point compressed data packets in the persistent database to an IOT platform according to the temporary queue list, updating the persistent database in real time according to feedback information of the IOT platform after the uploading is successful, and continuously uploading the point compressed data packets which are not uploaded.
It should be noted that, in order to reduce backlog and concurrency of uploading data to the IOT platform, the IOT platform performs arrangement uploading to the data to be transmitted, cleaning and compressing the data to be acquired, and sets a temporary storage database, if the uploading is successful or interrupted, temporary storage is to be transmitted, the pressure of the IOT reporting channel is reduced by effective filtering, compressing and temporary storage and slow transmission to the data, the data which is not reported and not acquired can be retransmitted in a broken line, the data which is not reported to the cache is linked with the DCS system through the OPC DA protocol, and a designated point is acquired from the DCS system, and a plurality of designated point data pushed by the DCS system are received, the designated point data is the data of the designated point pushed by the DCS system, the point is the input and output point of the DCS system, that is, the acquisition point, the control point or the communication point, extracting and pushing the collected designated point location data to a queue to be processed, sorting the data, extracting the designated point location data from the queue to be processed through a preset data processing container, cleaning and filtering according to a data filtering model and preset filtering conditions, correcting and pushing the cleaned and filtered designated point location data to the queue to be compressed, carrying out point location compression on the data to be compressed in the queue to be compressed according to compression dimensions to obtain a point location compressed data packet, identifying the data packet, sending the data packet to a persistence database for temporary storage to obtain a temporary storage queue, uploading the point location compressed data packet in the persistence database to an IOT platform according to the temporary storage queue, updating the persistence database in real time according to feedback information of the IOT platform after the uploading is successful, and continuously uploading the point compressed data packet which is not uploaded.
According to the embodiment of the invention, the specific point location data is extracted and pushed to a queue table to be processed and sorted, specifically:
extracting a plurality of appointed point position data pushed by a DCS system, wherein the appointed point position data comprises measurement point data, control point data and communication point data;
processing according to the measurement point data, the control point data and the communication point data to obtain a process point position level coefficient;
pushing the appointed point location data and the corresponding process point location level coefficients into a queue table to be processed;
and sorting the plurality of appointed point location data in the queue to be processed according to the corresponding process point location level coefficient.
It should be noted that, by extracting a plurality of designated point data pushed by the DCS system, that is, a plurality of acquisition points, control points and point data of communication points, performing calculation processing according to the extracted measurement point data, control point data and communication point data to obtain a process point level coefficient, where the process point level coefficient is the number of stages of the processing process of measuring point data, and the processing process of the point data is a processing technology mode of the point data, that is, an application processing means of the measurement points, the control points and the communication points reflects the technical attributes of the points, pushing the obtained plurality of designated point data and corresponding process point level coefficients into a queue to be processed, and sorting the obtained plurality of designated point data in the queue according to the process point level coefficient, thereby sorting the queue of the plurality of designated point data;
The calculation formula of the process point location level coefficient is as follows:
wherein,,
is the process point location level coefficient,
in order to measure the point data of the object,
in order to control the point data of the control point,
as the data of the communication point,
the coefficients are extracted for a predetermined process,
、
、
is a characteristic coefficient (the characteristic system is obtained through a preset process parameter library of the DCS system).
According to the embodiment of the invention, the specified point location data is extracted from the queue to be processed through a preset data processing container, and cleaning and filtering are performed according to a data filtering model and preset filtering conditions, specifically:
extracting corresponding appointed point location data from the queue to be processed through a preset data processing container according to the ordering of the appointed point location data;
obtaining a data filtering model, cleaning and filtering the appointed point location data according to a preset filtering condition by the data filtering model, and screening out the same data and unchanged data;
and removing the same data and unchanged data screened out from the specified point position data to obtain cleaning and filtering point position data after cleaning and filtering.
In order to reduce resource waste and platform congestion caused by uploading invalid and repeated data, the designated point location data in the queue table is cleaned and filtered through a data filtering model in a preset data processing container so as to clean and filter the same uploaded data and the data which is not transmitted and changed after the uploading is finished, cleaned and filtered point location data is obtained, the data filtering model is a model in the preset data processing container, is obtained through training by comparing and screening a large number of historical uploaded data and the data which is to be uploaded, cleaning and filtering are carried out according to the corresponding filtering conditions of the historical data cleaning and filtering, and the same data and the unchanged data can be screened out according to the preset filtering conditions by the data filtering model aiming at the designated point location data extracted from the queue table to obtain the cleaned and filtered point location data.
According to the embodiment of the invention, the data of the designated point location which is subjected to cleaning and filtering is corrected and pushed to the queue table to be compressed, specifically:
correcting the cleaning and filtering point position data and the process point position level coefficient;
the correction calculation formula of the cleaning and filtering point position data is as follows:
wherein
For the modified clean filter point location data,
in order to clean the filtered point location data,
the correction coefficient is preset;
and pushing the corrected cleaning and filtering point position data to a queue table to be compressed to obtain the data to be compressed.
After the point location data after cleaning and filtering is obtained, before the next compression, the weighting of the process level is not reflected by the cleaning and filtering data due to different process point location levels corresponding to different point locations, the cleaning and filtering point location data is corrected according to the process point location level coefficient corresponding to the point location to obtain corrected cleaning and filtering point location data, and the corrected cleaning and filtering point location data is pushed to a queue to be compressed to obtain data to be compressed, and the next data compression processing is waited.
According to the embodiment of the invention, the point-to-be-compressed data in the to-be-compressed queue table is subjected to point-to-point compression according to the compression dimension to obtain a point-to-point compressed data packet, which specifically comprises:
Acquiring corresponding compressed dimension information from a persistence database according to the process point level coefficient;
extracting a point location compression mode from the compression dimension information;
and compressing the corresponding data to be compressed in the queue to be compressed according to the point location compression mode to obtain a point location compression data packet.
It should be noted that, compressing the point location data to obtain the smallest possible volume of the compressed packet, providing a basis for subsequent miniaturized fast uninterrupted uploading, extracting the compression mode of the point location data according to the compression dimension information, where the compression dimension information is corresponding setting according to the process point location level of the point location data, that is, obtaining the corresponding compression dimension information in the persistence database according to the process point location level coefficient, extracting the point location compression mode in the compression dimension information, and then compressing the corresponding data to be compressed in the queue table according to the point location compression mode to obtain the point location compressed packet, so as to obtain the point location data compressed packet with the compression mode set according to the process point location level.
According to the embodiment of the invention, the compressed point location compressed data packet is identified, and the point location compressed data packet is sent to a persistent database for temporary storage, so as to obtain a temporary queue table, which specifically comprises:
Generating compressed packet identification information according to the capacity information, the point identifier information and the sequence number of the queue table to be compressed of the point compressed data packet;
identifying the point compressed data packet according to the compressed packet identification information;
sending the point compressed data packet with the identifier to a persistence database for temporary storage;
and the persistence database performs list according to the received point location compressed data packet to generate a temporary queue list.
The method includes the steps that collected appointed point location data corresponds to point location identifier information, the point location identifier information reflects location and identification of points, compressed point location compression data packets are distinguished so as to be temporarily stored and queued in a list, compressed packet identification information is generated according to compressed capacity information of the point location compression data packets and combined with the point location identifier information and sequence numbers of a queue to be compressed, the point location compression data packets are correspondingly identified, the point location compression data packets with the identification are sent to a persistence database to be temporarily stored, and the persistence database carries out list according to each received point location compression data packet to generate a temporary queue list so as to be uploaded according to the list in the next step.
According to the embodiment of the invention, the uploading of the point location compressed data packet in the persistent database to the IOT platform according to the temporary queue table is performed, the real-time updating of the persistent database is performed according to the feedback information of the IOT platform after the uploading is successful, and the uploading of the point location compressed data packet which is not yet uploaded is continued, specifically:
uploading the point location compressed data packets in the persistent database to an IOT platform according to the list order of the temporary queue list;
if the IOT platform receives the point location compression data packet, feeding back feedback information corresponding to the point location compression data packet to the persistence database;
the persistent database updates the temporary queue table in real time according to the feedback information;
if the uploading of the point compressed data packet is interrupted or fails, marking the uploading state of the point compressed data packet corresponding to the temporary storage queue table as to be uploaded again;
and uploading the point compressed data packet to be re-uploaded in the temporary queue table to the IOT platform again.
It should be noted that, uploading the point location compressed data packets in the persistent database to the IOT platform according to the list sequence of the temporary queue table, if the IOT platform receives the point location compressed data packets, feeding back the corresponding feedback information to the persistent database, updating the temporary queue table in real time according to the feedback information, if the uploading of the compressed data packets is interrupted or failed, marking the uploading state of the compressed data packets corresponding to the temporary queue table as to be re-uploaded, minimizing the compression of the point location data into small-volume compressed packets, marking and managing the uploaded compressed data packets by establishing the queue table, and caching and uploading the uploaded compressed data packets by the persistent database, thereby solving the problem of broken line retransmission.
A third aspect of the present invention provides a readable storage medium, where the readable storage medium includes a DCS system data processing and uploading method program, where the DCS system data processing and uploading method program, when executed by a processor, implements the steps of a DCS system data processing and uploading method according to any one of the above.
The invention discloses a processing uploading method, a system and a storage medium of DCS system data, which are characterized in that the method, the system and the storage medium are linked with the DCS system, a plurality of appointed point location data are received, the appointed point location data are pushed to a queue to be processed, are subjected to cleaning, filtering and correction according to a data filtering model and preset filtering conditions, are pushed to the queue to be compressed, the data to be compressed are subjected to point location compression according to a compression dimension to obtain point location compression data packets and identifications, the point location compression data packets are sent to a persistence database for temporary storage, and are uploaded to an IOT platform according to a temporary storage queue, and the persistence database is updated according to feedback information after the uploading is successful; therefore, the data of the appointed point positions are arranged, filtered, cleaned, compressed and uploaded, the sorting, filtering and screening, compression reduction and line breakage retransmission of the data are realized, the effective filtering of the data reduces the pressure of an IOT reporting channel, the unreported data are cached, and the line breakage retransmission is carried out on the unreported data.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (6)
1. The processing and uploading method of the DCS system data is characterized by comprising the following steps of:
linking with a DCS (distributed control system) through an OPC DA (optical control and data acquisition) protocol, acquiring designated point positions from the DCS, and receiving data of a plurality of designated point positions pushed by the DCS;
extracting and pushing the appointed point location data to a queue table to be processed and sorting;
extracting the appointed point location data from the queue to be processed through a preset data processing container, and cleaning and filtering according to a data filtering model and preset filtering conditions;
correcting the data of the appointed point positions which are subjected to cleaning and filtering, and pushing the corrected data to a queue table to be compressed;
performing point-location compression on the data to be compressed in the queue to be compressed according to the compression dimension to obtain a point-location compressed data packet;
identifying the compressed point location compressed data packet, and sending the point location compressed data packet to a persistence database for temporary storage to obtain a temporary queue table;
uploading the point compressed data packets in the persistent database to an IOT platform according to the temporary queue list, updating the persistent database in real time according to feedback information of the IOT platform after the uploading is successful, and continuously uploading the point compressed data packets which are not uploaded;
The step of extracting and pushing the specified point location data to a queue table to be processed and sorting, which comprises the following steps:
extracting a plurality of appointed point position data pushed by a DCS system, wherein the appointed point position data comprises measurement point data, control point data and communication point data;
processing according to the measurement point data, the control point data and the communication point data to obtain a process point position level coefficient;
pushing the appointed point location data and the corresponding process point location level coefficients into a queue table to be processed;
sorting and sorting the plurality of appointed point location data in the queue to be processed according to the corresponding process point location level coefficient;
the step of extracting the specified point location data from the queue to be processed through a preset data processing container, and cleaning and filtering according to a data filtering model and preset filtering conditions, comprises the following steps:
extracting corresponding appointed point location data from the queue to be processed through a preset data processing container according to the ordering of the appointed point location data;
obtaining a data filtering model, cleaning and filtering the appointed point location data according to a preset filtering condition by the data filtering model, and screening out the same data and unchanged data;
Removing the same data and unchanged data screened out from the appointed point position data to obtain cleaned and filtered point position data after cleaning and filtering;
the correcting the data of the appointed point position which is subjected to cleaning and filtering and pushing the corrected data to a queue table to be compressed comprises the following steps:
correcting the cleaning and filtering point position data and the process point position level coefficient;
the correction calculation formula of the cleaning and filtering point position data is as follows:
wherein->
For the modified cleaning filter point data, +.>
For cleaning the filtered point data, < > for>
For the process point level coefficient, ++>
The correction coefficient is preset;
and pushing the corrected cleaning and filtering point position data to a queue table to be compressed to obtain the data to be compressed.
2. The method for processing and uploading DCS system data according to claim 1, wherein the performing the point-to-point compression on the data to be compressed in the queue table to be compressed according to the compression dimension to obtain the point-to-point compressed data packet comprises:
acquiring corresponding compressed dimension information from a persistence database according to the process point level coefficient;
extracting a point location compression mode from the compression dimension information;
and compressing the corresponding data to be compressed in the queue to be compressed according to the point location compression mode to obtain a point location compression data packet.
3. The DCS system data processing and uploading method of claim 2, wherein said identifying the compressed said point compressed data packet and sending said point compressed data packet to a persistent database for temporary storage, obtaining a temporary queue table, comprises:
generating compressed packet identification information according to the capacity information, the point identifier information and the sequence number of the queue table to be compressed of the point compressed data packet;
identifying the point compressed data packet according to the compressed packet identification information;
sending the point compressed data packet with the identifier to a persistence database for temporary storage;
and the persistence database performs list according to the received point location compressed data packet to generate a temporary queue list.
4. The method for processing and uploading DCS system data according to claim 3, wherein uploading the point compressed data packets in the persistent database to the IOT platform according to the temporary queue table, updating the persistent database in real time according to the feedback information of the IOT platform after the uploading is successful, and continuously uploading the point compressed data packets which are not yet uploaded, comprises:
Uploading the point location compressed data packets in the persistent database to an IOT platform according to the list order of the temporary queue list;
if the IOT platform receives the point location compression data packet, feeding back feedback information corresponding to the point location compression data packet to the persistence database;
the persistent database updates the temporary queue table in real time according to the feedback information;
if the uploading of the point compressed data packet is interrupted or fails, marking the uploading state of the point compressed data packet corresponding to the temporary storage queue table as to be uploaded again;
and uploading the point compressed data packet to be re-uploaded in the temporary queue table to the IOT platform again.
5. A processing and uploading system for DCS system data, the system comprising:
and a data acquisition module: linking with a DCS (distributed control system) through an OPC DA (optical control and data acquisition) protocol, acquiring designated point positions from the DCS and receiving data of a plurality of designated point positions pushed by the DCS;
and a data cleaning module: cleaning, filtering and correcting the appointed point location data according to a data filtering model and preset filtering conditions;
and a data compression module: performing point-location compression on data to be compressed in a queue to be compressed according to the compression dimension to obtain a point-location compressed data packet;
The data temporary storage module: temporarily storing the identified point compressed data packet into a persistence database;
and a data uploading module: uploading the point compressed data packet to an IOT platform according to the temporary storage queue table, updating the persistent database in real time according to platform feedback information, and continuing uploading;
further comprises: the device comprises a memory and a processor, wherein the memory comprises a program of a processing uploading method of DCS system data, and the program of the processing uploading method of the DCS system data realizes the following steps when being executed by the processor:
linking with a DCS (distributed control system) through an OPC DA (optical control and data acquisition) protocol, acquiring designated point positions from the DCS, and receiving data of a plurality of designated point positions pushed by the DCS;
extracting and pushing the appointed point location data to a queue table to be processed and sorting;
extracting the appointed point location data from the queue to be processed through a preset data processing container, and cleaning and filtering according to a data filtering model and preset filtering conditions;
correcting the data of the appointed point positions which are subjected to cleaning and filtering, and pushing the corrected data to a queue table to be compressed;
performing point-location compression on the data to be compressed in the queue to be compressed according to the compression dimension to obtain a point-location compressed data packet;
Identifying the compressed point location compressed data packet, and sending the point location compressed data packet to a persistence database for temporary storage to obtain a temporary queue table;
uploading the point compressed data packets in the persistent database to an IOT platform according to the temporary queue list, updating the persistent database in real time according to feedback information of the IOT platform after the uploading is successful, and continuously uploading the point compressed data packets which are not uploaded;
the step of extracting and pushing the specified point location data to a queue table to be processed and sorting, which comprises the following steps:
extracting a plurality of appointed point position data pushed by a DCS system, wherein the appointed point position data comprises measurement point data, control point data and communication point data;
processing according to the measurement point data, the control point data and the communication point data to obtain a process point position level coefficient;
pushing the appointed point location data and the corresponding process point location level coefficients into a queue table to be processed;
sorting and sorting the plurality of appointed point location data in the queue to be processed according to the corresponding process point location level coefficient;
the step of extracting the specified point location data from the queue to be processed through a preset data processing container, and cleaning and filtering according to a data filtering model and preset filtering conditions, comprises the following steps:
Extracting corresponding appointed point location data from the queue to be processed through a preset data processing container according to the ordering of the appointed point location data;
obtaining a data filtering model, cleaning and filtering the appointed point location data according to a preset filtering condition by the data filtering model, and screening out the same data and unchanged data;
removing the same data and unchanged data screened out from the appointed point position data to obtain cleaned and filtered point position data after cleaning and filtering;
the correcting the data of the appointed point position which is subjected to cleaning and filtering and pushing the corrected data to a queue table to be compressed comprises the following steps:
correcting the cleaning and filtering point position data and the process point position level coefficient;
the correction calculation formula of the cleaning and filtering point position data is as follows:
wherein->
For the modified cleaning filter point data, +.>
For cleaning the filtered point data, < > for>
For the process point level coefficient, ++>
The correction coefficient is preset;
and pushing the corrected cleaning and filtering point position data to a queue table to be compressed to obtain the data to be compressed.
6. A computer-readable storage medium, wherein a DCS data processing and uploading method program is included in the computer-readable storage medium, and when the DCS data processing and uploading method program is executed by a processor, the steps of a DCS data processing and uploading method according to any one of claims 1 to 4 are realized.
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