CN116859868A - Industrial data acquisition and control system and method based on 5G - Google Patents
Industrial data acquisition and control system and method based on 5G Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 claims abstract description 123
- 238000009776 industrial production Methods 0.000 claims abstract description 55
- 238000011217 control strategy Methods 0.000 claims abstract description 37
- 238000004458 analytical method Methods 0.000 claims abstract description 21
- 230000003993 interaction Effects 0.000 claims abstract description 20
- 238000012545 processing Methods 0.000 claims abstract description 10
- 238000003860 storage Methods 0.000 claims abstract description 7
- 230000003044 adaptive effect Effects 0.000 claims description 25
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31282—Data acquisition, BDE MDE
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The application discloses a 5G-based industrial data acquisition and control system and a method thereof, and relates to the technical field of industrial data. The system comprises a data acquisition module for detecting and acquiring industrial data, a storage analysis module for analyzing, storing and processing the industrial data, a decision control module for generating a control strategy and controlling industrial production equipment, and a safety monitoring module for monitoring data and operation and protecting; the system also comprises an industrial data acquisition controller for generating control signals and controlling the operation of industrial production equipment, data acquisition equipment for acquiring/recording industrial data, an Internet of things terminal for remote control and data interaction and a human-computer interface for human-computer interaction. According to the application, the industrial data are detected and collected in real time, the control strategy is generated, and then the operation of industrial production equipment is controlled according to the control strategy, so that the data quality and the stability of the equipment are ensured; and then the safety of the data and the control signals is ensured by monitoring the data and the equipment operation.
Description
Technical Field
The application belongs to the technical field of industrial data, and particularly relates to a 5G-based industrial data acquisition and control system and a method thereof.
Background
Industrial data collection refers to the process of collecting relevant data by means of various sensors, instruments and equipment and the like during industrial production and operation. The industrial data acquisition is to acquire data of industrial production equipment, and is to access different equipment, products, sensors and the like by utilizing various communication means, and acquire equipment data of industrial production, so that the industrial data acquisition is a data base for constructing an industrial Internet platform. The three common industrial data acquisition modes are as follows: the data are directly communicated in a networking way, are collected through protocol conversion by an industrial Internet of things gateway and are collected through remote IO. And the integration of the 5G technology into industrial data acquisition enables industrial production and operation to be more efficient, accurate and intelligent.
Although 5G-based industrial data acquisition has many advantages in terms of improving the level of intelligence and optimizing management of the production process, there are also disadvantages such as: the quality of the collected data is unstable or has errors, the safety and privacy of the data are at certain risk, and the control signals in the controller can be changed to cause errors, faults and the like of industrial production equipment.
Disclosure of Invention
The application aims to provide a 5G-based industrial data acquisition and control system and a method thereof, wherein the industrial data acquisition and control system detects and acquires industrial data in real time and generates a control strategy, so that the operation of industrial production equipment is controlled according to the control strategy, and the data quality and the stability of the equipment operation are ensured; and then safety monitoring is carried out on the data and the equipment operation to ensure the safety of the data, the control signals and the like.
The aim of the application can be achieved by the following technical scheme:
in a first aspect, an embodiment of the present application provides a 5G-based industrial data acquisition and control system, including a data acquisition module, a storage analysis module, a decision control module, and a security monitoring module that are sequentially connected in communication;
the data acquisition module is used for detecting and acquiring industrial data in real time;
the storage analysis module is used for receiving and storing the industrial data, analyzing and processing the industrial data and obtaining an analysis result;
the decision control module is used for generating a control strategy according to the industrial data and the analysis result and controlling and operating industrial production equipment according to the control strategy;
the safety monitoring module is used for carrying out data monitoring and behavior monitoring on each module and obtaining monitoring results; the system is also used for carrying out safety protection on each module according to the monitoring result;
the monitoring results comprise data monitoring results and behavior monitoring results;
wherein, in the decision control module, the control strategy is constructed based on a model reference adaptive control algorithm.
Preferably, the industrial data acquisition and control system further comprises an industrial data acquisition controller, data acquisition equipment, an internet of things terminal and a human-computer interface;
the industrial data acquisition controller is respectively connected with the data acquisition equipment and the terminal of the Internet of things;
the industrial data acquisition controller is also connected with the human-computer interface;
the terminal of the Internet of things is connected with the data acquisition equipment;
the industrial data acquisition controller comprises a control signal, wherein the control signal is used for controlling the operation of the industrial production equipment;
the data acquisition equipment is connected with the industrial production equipment or integrated on the industrial production equipment.
Preferably, the data acquisition device is used for acquiring/recording industrial data of the industrial production device;
the internet of things terminal is used for remotely controlling the data acquisition equipment and performing data interaction with the industrial data acquisition controller;
the industrial data acquisition controller is used for controlling the data acquisition equipment to acquire industrial data and performing data interaction with the human-computer interface;
the man-machine interface is used for providing a man-machine interaction interface; and the system is also used for configuring parameters, displaying the real-time state of the industrial production equipment, viewing real-time data and performing man-machine interaction.
Preferably, the industrial data acquisition controller comprises an interface unit, a gateway unit and a 5G unit;
the 5G unit is respectively connected with the interface unit and the gateway unit;
the interface unit comprises a plurality of different types of control interfaces, and the control interfaces are used for connecting the data acquisition equipment;
the gateway unit comprises a plurality of communication interfaces, and the communication interfaces are used for connecting the terminal of the Internet of things; the communication interface supports a plurality of different types of internet of things communication protocols;
the 5G unit is used for connecting a 5G network and carrying out data transmission and interaction through the 5G network.
Preferably, the data acquisition device comprises a plurality of sensors, instrument devices, industrial machine devices and mobile terminal devices.
Preferably, in the decision control module, an adaptive control algorithm is adopted to generate the control strategy, and specifically, a model reference adaptive control in the adaptive control algorithm is adopted.
Preferably, the industrial data acquisition and control system is taken as an actual system, and the model reference adaptive control comprises a reference model, an adjustable system and an adaptive mechanism;
the adjustable system comprises a controlled object, a front-end controller and a feedback controller;
the reference model is used for defining a desired output response and guiding the design and parameter adjustment of the adaptive mechanism;
the adjustable system is used for continuously adjusting parameters of the self-adaptive mechanism according to the response and the error of the actual system;
the self-adaptive mechanism is used for updating parameters of the adjustable system according to feedback information and errors of the actual system.
Preferably, generating the control strategy based on the model reference adaptive control comprises the steps of:
s11, determining response characteristics of the actual system and defining a reference model; wherein the reference model is expressed as a relationship of output or state of the actual system over time;
s12, designing the self-adaptive mechanism according to the difference between the reference model and the actual system;
s13, estimating parameters of the actual system in adaptive control;
s14, calculating a control signal according to the design of the self-adaptive mechanism and the estimation of actual system parameters;
s15, adjusting parameters of the self-adaptive mechanism by using an updating rule according to the difference between the actual response and the reference model;
s16, repeatedly executing the step S13 to the step S15, and continuously iterating and optimizing parameters of the self-adaptive mechanism and response of the actual system.
Preferably, the security monitoring module comprises a data monitoring unit, a behavior monitoring unit, a report generating unit and an encryption protection unit;
the data monitoring unit and the behavior monitoring unit are respectively in communication connection with the report generating unit;
the report generating unit is in communication connection with the encryption protection unit;
the data monitoring unit is used for monitoring the industrial data acquired by the data acquisition equipment and the system data in the industrial data acquisition and control system in real time to generate a data monitoring result;
the behavior monitoring unit is used for performing behavior monitoring on the operation and behavior of each device in the industrial data acquisition and control system and the control signal to generate a behavior monitoring result;
the report generating unit is used for generating a data monitoring report and a behavior monitoring report for the monitoring result according to the data monitoring result and the line information;
the encryption protection unit is used for encrypting the data in the data monitoring unit according to the data monitoring report; and the system is also used for protecting the equipment operation and the control signals in the behavior monitoring unit according to the behavior monitoring report.
In a second aspect, an embodiment of the present application provides a 5G-based industrial data acquisition and control method, including the steps of:
s1, detecting industrial data in real time;
s2, controlling data acquisition equipment to acquire industrial data through an industrial data acquisition controller;
s3, carrying out integrity judgment on the acquired industrial data, and if the industrial data are complete, executing a step S5; if the industrial data is incomplete, executing a step S4;
s4, controlling the data acquisition equipment to acquire the industrial data through the terminal of the Internet of things, and sending the acquired industrial data to the industrial data acquisition controller;
s5, storing, analyzing and processing the industrial data to obtain an analysis result;
s6, generating a control strategy according to the analysis result and the industrial data, and performing control operation on industrial production equipment according to the control strategy;
s7, carrying out data monitoring on the industrial data to obtain a data monitoring result;
s8, performing behavior monitoring on the control operation of the industrial production equipment to obtain a behavior monitoring result;
s9, carrying out data encryption on the industrial data according to the data monitoring result; performing behavior protection on the control operation according to the behavior monitoring result;
s10, configuring parameters on a human-computer interface, displaying the real-time state of the industrial production equipment, checking real-time data and performing human-computer interaction;
the industrial data acquisition controller is respectively connected with the data acquisition equipment and the terminal of the Internet of things;
the industrial data acquisition controller is also connected with the human-computer interface;
the terminal of the Internet of things is connected with the data acquisition equipment;
the industrial data acquisition controller comprises a control signal, wherein the control signal is used for controlling the operation of the industrial production equipment;
the data acquisition equipment is connected with the industrial production equipment or integrated on the industrial production equipment.
The beneficial effects of the application are as follows:
(1) According to the application, the industrial data are detected and collected in real time, and the control strategy is generated, so that the operation of industrial production equipment is controlled according to the control strategy, and the data quality and the stability of the equipment operation are ensured; and then safety monitoring is carried out on the data and the equipment operation to ensure the safety of the data, the control signals and the like.
(2) According to the application, two data acquisition modes of directly controlling the data acquisition equipment to acquire industrial data through the industrial data acquisition controller and indirectly remotely controlling the data acquisition equipment to acquire industrial data through the Internet of things terminal are adopted, so that the stability of industrial data acquisition is ensured, and the acquired data always keeps high quality.
(3) According to the application, a complete data link is formed among the data acquisition equipment, the industrial data acquisition controller, the Internet of things terminal and the human-computer interface, industrial data is transmitted from the data acquisition equipment-the industrial data acquisition controller/(the Internet of things terminal-the industrial data acquisition controller) -the human-computer interface, and the data link is safely monitored in the whole process, so that the safety and the integrity of the data in the link are ensured.
(4) The application integrates the 5G unit in the industrial data acquisition controller, so that the data acquisition has higher speed, and simultaneously, the real-time performance, the large-capacity data transmission, the remote monitoring and the control of the data acquisition and the enhanced flexibility are ensured; these advantages optimize the process of industrial data acquisition and improve production efficiency and level of intelligence.
(5) The application adopts a model reference self-adaptive control in a self-adaptive control algorithm in a decision control module to generate a control strategy, a control target is defined by a reference model, the system output is compared with a reference model output, and a corresponding controller output is generated according to an error signal; in addition, the model reference self-adaptive control also comprises a parameter estimation and parameter updating process, the parameters of the system are estimated through on-line identification, and the parameters of the controller are adjusted according to a proper updating rule, so that the control system of the application always keeps high-precision tracking and robustness.
(6) According to the application, the safety monitoring module is arranged to monitor industrial data and system control operation in real time in the whole process, so that the safety and privacy of the data are ensured; in addition, the safety monitoring module can also monitor control signals in the controller and various operations of the industrial equipment in real time, so that the problems of errors and faults of the industrial production equipment caused by the fact that the control signals are changed are prevented, and the accuracy, the high efficiency and the safety of industrial production and operation are further guaranteed.
Drawings
For a better understanding and implementation, the technical solution of the present application is described in detail below with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a 5G-based industrial data acquisition and control system according to an embodiment of the present application;
FIG. 2 is a schematic diagram of another structure of a 5G-based industrial data acquisition and control system according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an industrial data acquisition controller according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating steps for generating a control strategy according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a security monitoring module according to an embodiment of the present application;
fig. 6 is a step flowchart of a 5G-based industrial data acquisition and control method according to an embodiment of the present application.
Detailed Description
For further explanation of the technical means and effects adopted by the present application for achieving the intended purpose, exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of methods and systems that are consistent with aspects of the application as detailed in the accompanying claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to any or all possible combinations including one or more of the associated listed items.
The following detailed description of specific embodiments, features and effects according to the present application is provided with reference to the accompanying drawings and preferred embodiments.
Example 1
Referring to fig. 1, an embodiment of the present application provides a 5G-based industrial data acquisition and control system, which includes a data acquisition module, a storage analysis module, a decision control module and a security monitoring module that are sequentially connected in communication;
the data acquisition module is used for detecting and acquiring industrial data in real time;
the storage analysis module is used for receiving and storing the industrial data, analyzing and processing the industrial data and obtaining an analysis result;
the decision control module is used for generating a control strategy according to the industrial data and the analysis result and controlling and operating industrial production equipment according to the control strategy;
the safety monitoring module is used for carrying out data monitoring and behavior monitoring on each module and obtaining monitoring results; the system is also used for carrying out safety protection on each module according to the monitoring result;
the monitoring results comprise data monitoring results and behavior monitoring results;
wherein, in the decision control module, the control strategy is constructed based on a model reference adaptive control algorithm.
Specifically, the application detects and collects industrial data in real time through the data collection module, then stores the collected industrial data, and performs data analysis and data processing on the industrial data so as to obtain an analysis result; the decision control module generates a control strategy according to the collected industrial data and the analysis result, and the control strategy is used for operating and controlling industrial production equipment; finally, data monitoring and behavior monitoring are carried out on the modules through a safety monitoring module, and a data monitoring result and a behavior monitoring result are obtained; and simultaneously, carrying out safety protection on each module according to the data monitoring result and the behavior monitoring result.
It should be noted that, in the embodiment of the present application, the "connection" may be a wireless connection or a wired connection, and a specific connection mode is selected according to a specific device characteristic, which is not specifically limited in this embodiment.
As shown in fig. 2, in one embodiment provided by the present application, the industrial data acquisition and control system further includes an industrial data acquisition controller, a data acquisition device, an internet of things terminal, and a human-machine interface;
the industrial data acquisition controller is respectively connected with the data acquisition equipment and the terminal of the Internet of things;
the industrial data acquisition controller is also connected with the human-computer interface;
the terminal of the Internet of things is connected with the data acquisition equipment;
the industrial data acquisition controller comprises a control signal, wherein the control signal is used for controlling the operation of the industrial production equipment;
the data acquisition equipment is connected with the industrial production equipment or integrated on the industrial production equipment.
Further, the data acquisition device is used for acquiring/recording industrial data of the industrial production device;
the internet of things terminal is used for remotely controlling the data acquisition equipment and performing data interaction with the industrial data acquisition controller;
the industrial data acquisition controller is used for controlling the data acquisition equipment to acquire industrial data and performing data interaction with the human-computer interface;
the man-machine interface is used for providing a man-machine interaction interface; and the system is also used for configuring parameters, displaying the real-time state of the industrial production equipment, viewing real-time data and performing man-machine interaction.
Specifically, in the embodiment of the present application, the industrial data acquisition controller may directly control the data acquisition device to perform data acquisition, or may indirectly perform data acquisition through the terminal of the internet of things, and in addition, may adopt a mode of combining two acquisition modes, that is, direct acquisition and indirect acquisition, or may adopt one of the two acquisition modes, and the embodiment is not limited specifically.
The specific content of direct collection is as follows: the industrial data acquisition controller is connected with the data acquisition equipment and acquires industrial data through the equipment, the data acquisition equipment acquires the data and then sends the data back to the industrial data acquisition controller, then the industrial data acquisition controller sends the industrial data to the human-computer interface for subsequent processing, an operator analyzes the data through the human-computer interface and issues subsequent operation instructions, the operation instructions are further sent to the industrial data acquisition controller, and the industrial data acquisition controller controls the operation of the industrial production equipment by generating control signals.
In addition, the specific content of indirect collection is as follows: the industrial data acquisition controller is connected with the terminal of the Internet of things, and the terminal of the Internet of things is connected with the data acquisition equipment; the industrial data acquisition controller is used for generating control signals to control the operation of industrial production equipment. The internet of things terminal is used as an intermediate device/port, can perform large-scale data acquisition, can increase the acquired data volume and can accelerate the data acquisition efficiency.
As shown in fig. 3, further, the industrial data acquisition controller includes an interface unit, a gateway unit and a 5G unit;
the 5G unit is respectively connected with the interface unit and the gateway unit;
the interface unit comprises a plurality of different types of control interfaces, and the control interfaces are used for connecting the data acquisition equipment;
the gateway unit comprises a plurality of communication interfaces, and the communication interfaces are used for connecting the terminal of the Internet of things; the communication interface supports a plurality of different types of internet of things communication protocols;
the 5G unit is used for connecting a 5G network and carrying out data transmission and interaction through the 5G network.
Further, the data acquisition device includes, but is not limited to, a number of sensors, instrumentation devices, industrial machine devices, and mobile terminal devices.
Specifically, the industrial data acquisition controller is integrated with a 5G unit, and the 5G unit is respectively connected with the interface unit and the gateway unit, so that the two units have the related characteristics of the 5G unit, such as high speed, high efficiency and the like.
In one embodiment of the present application, in the decision control module, an adaptive control algorithm is used to generate the control strategy, and in particular, a model reference adaptive control in the adaptive control algorithm is used.
Further, the industrial data acquisition and control system is taken as an actual system, and the model reference adaptive control comprises a reference model, an adjustable system and an adaptive mechanism;
the adjustable system comprises a controlled object, a front-end controller and a feedback controller;
the reference model is used for defining a desired output response and guiding the design and parameter adjustment of the adaptive mechanism;
the adjustable system is used for continuously adjusting parameters of the self-adaptive mechanism according to the response and the error of the actual system;
the self-adaptive mechanism is used for updating parameters of the adjustable system according to feedback information and errors of the actual system.
As shown in fig. 4, further, generating the control strategy based on the model reference adaptive control includes the steps of:
s11, determining response characteristics of an actual system and defining a reference model; wherein, the reference model is expressed as the relation of the output or state of the actual system with time;
s12, designing a self-adaptive mechanism according to the difference between the reference model and the actual system;
s13, estimating parameters of an actual system in the self-adaptive control;
s14, calculating a control signal according to the design of the self-adaptive mechanism and the estimation of actual system parameters;
s15, adjusting parameters of the self-adaptive mechanism by using an updating rule according to the difference between the actual response and the reference model;
s16, repeatedly executing the steps S13 to S15, and continuously iterating and optimizing parameters of the adaptive mechanism and response of an actual system.
As shown in fig. 5, in one embodiment provided by the present application, the security monitoring module includes a data monitoring unit, a behavior monitoring unit, a report generating unit, and an encryption protection unit;
the data monitoring unit and the behavior monitoring unit are respectively in communication connection with the report generating unit;
the report generating unit is in communication connection with the encryption protection unit;
the data monitoring unit is used for monitoring the industrial data acquired by the data acquisition equipment and the system data in the industrial data acquisition and control system in real time to generate a data monitoring result;
the behavior monitoring unit is used for performing behavior monitoring on the operation and behavior of each device in the industrial data acquisition and control system and the control signal to generate a behavior monitoring result;
the report generating unit is used for generating a data monitoring report and a behavior monitoring report for the monitoring result according to the data monitoring result and the line information;
the encryption protection unit is used for encrypting the data in the data monitoring unit according to the data monitoring report; and the system is also used for protecting the equipment operation and the control signals in the behavior monitoring unit according to the behavior monitoring report.
In summary, the application has the following beneficial effects:
(1) According to the application, the industrial data are detected and collected in real time, and the control strategy is generated, so that the operation of industrial production equipment is controlled according to the control strategy, and the data quality and the stability of the equipment operation are ensured; and then safety monitoring is carried out on the data and the equipment operation to ensure the safety of the data, the control signals and the like.
(2) According to the application, two data acquisition modes of directly controlling the data acquisition equipment to acquire industrial data through the industrial data acquisition controller and indirectly remotely controlling the data acquisition equipment to acquire industrial data through the Internet of things terminal are adopted, so that the stability of industrial data acquisition is ensured, and the acquired data is always kept high in quality.
(3) According to the application, a complete data link is formed among the data acquisition equipment, the industrial data acquisition controller, the Internet of things terminal and the human-computer interface, industrial data is transmitted from the data acquisition equipment-the industrial data acquisition controller/(the Internet of things terminal-the industrial data acquisition controller) -the human-computer interface, and the data link is safely monitored in the whole process, so that the safety and the integrity of the data in the link are ensured.
(4) The application integrates the 5G unit in the industrial data acquisition controller, so that the data acquisition has higher speed, and simultaneously, the real-time performance, the large-capacity data transmission, the remote monitoring and the control of the data acquisition and the enhanced flexibility are ensured; these advantages optimize the process of industrial data acquisition and improve production efficiency and level of intelligence.
(5) The application adopts a model reference self-adaptive control in a self-adaptive control algorithm in a decision control module to generate a control strategy, a control target is defined by a reference model, the system output is compared with a reference model output, and a corresponding controller output is generated according to an error signal; in addition, the model reference self-adaptive control also comprises a parameter estimation and parameter updating process, the parameters of the system are estimated through on-line identification, and the parameters of the controller are adjusted according to a proper updating rule, so that the control system of the application always keeps high-precision tracking and robustness.
(6) According to the application, the safety monitoring module is arranged to monitor industrial data and system control operation in real time in the whole process, so that the safety and privacy of the data are ensured; in addition, the safety monitoring module can also monitor control signals in the controller and various operations of the industrial equipment in real time, so that the problems of errors and faults of the industrial production equipment caused by the fact that the control signals are changed are prevented, and the accuracy, the high efficiency and the safety of industrial production and operation are further guaranteed.
Example 2
Referring to fig. 6, an embodiment of the present application provides a 5G-based industrial data acquisition and control method, including the following steps:
s1, detecting industrial data in real time;
s2, controlling data acquisition equipment to acquire industrial data through an industrial data acquisition controller;
s3, carrying out integrity judgment on the acquired industrial data, and if the industrial data are complete, executing a step S5; if the industrial data is incomplete, executing the step S4;
s4, controlling a data acquisition device to acquire industrial data through the terminal of the Internet of things, and sending the acquired industrial data to an industrial data acquisition controller;
s5, storing, analyzing and processing the industrial data to obtain an analysis result;
s6, generating a control strategy according to the analysis result and the industrial data, and controlling the industrial production equipment according to the control strategy;
s7, carrying out data monitoring on the industrial data to obtain a data monitoring result;
s8, performing behavior monitoring on control operation of industrial production equipment to obtain a behavior monitoring result;
s9, carrying out data encryption on the industrial data according to the data monitoring result; performing behavior protection on the control operation according to the behavior monitoring result;
s10, configuring parameters at a human-computer interface, displaying the real-time state of industrial production equipment, checking real-time data and performing human-computer interaction;
the industrial data acquisition controller is respectively connected with the data acquisition equipment and the terminal of the Internet of things;
the industrial data acquisition controller is also connected with the human-computer interface;
the terminal of the Internet of things is connected with the data acquisition equipment;
the industrial data acquisition controller comprises a control signal, wherein the control signal is used for controlling the operation of the industrial production equipment;
the data acquisition equipment is connected with the industrial production equipment or integrated on the industrial production equipment.
According to the application, the industrial data are detected and collected in real time, and the control strategy is generated, so that the operation of industrial production equipment is controlled according to the control strategy, and the data quality and the stability of the equipment operation are ensured; and then safety monitoring is carried out on the data and the equipment operation to ensure the safety of the data, the control signals and the like.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the system is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The present application is not limited to the above embodiments, but is capable of modification and variation in detail, and other modifications and variations can be made by those skilled in the art without departing from the scope of the present application.
Claims (10)
1. An industrial data acquisition and control system based on 5G, characterized in that: the system comprises a data acquisition module, a storage analysis module, a decision control module and a safety monitoring module which are sequentially connected in a communication way;
the data acquisition module is used for detecting and acquiring industrial data in real time;
the storage analysis module is used for receiving and storing the industrial data, analyzing and processing the industrial data and obtaining an analysis result;
the decision control module is used for generating a control strategy according to the industrial data and the analysis result and controlling and operating industrial production equipment according to the control strategy;
the safety monitoring module is used for carrying out data monitoring and behavior monitoring on each module and obtaining monitoring results; the system is also used for carrying out safety protection on each module according to the monitoring result;
the monitoring results comprise data monitoring results and behavior monitoring results;
wherein, in the decision control module, the control strategy is constructed based on a model reference adaptive control algorithm.
2. A 5G-based industrial data acquisition and control system according to claim 1, wherein: the industrial data acquisition and control system further comprises an industrial data acquisition controller, data acquisition equipment, an Internet of things terminal and a human-computer interface;
the industrial data acquisition controller is respectively connected with the data acquisition equipment and the terminal of the Internet of things;
the industrial data acquisition controller is also connected with the human-computer interface;
the terminal of the Internet of things is connected with the data acquisition equipment;
the industrial data acquisition controller comprises a control signal, wherein the control signal is used for controlling the operation of the industrial production equipment;
the data acquisition equipment is connected with the industrial production equipment or integrated on the industrial production equipment.
3. A 5G-based industrial data acquisition and control system according to claim 2, wherein: the data acquisition equipment is used for acquiring/recording industrial data of the industrial production equipment;
the internet of things terminal is used for remotely controlling the data acquisition equipment and performing data interaction with the industrial data acquisition controller;
the industrial data acquisition controller is used for controlling the data acquisition equipment to acquire industrial data and performing data interaction with the human-computer interface;
the man-machine interface is used for providing a man-machine interaction interface; and the system is also used for configuring parameters, displaying the real-time state of the industrial production equipment, viewing real-time data and performing man-machine interaction.
4. A 5G-based industrial data acquisition and control system according to claim 3, wherein: the industrial data acquisition controller comprises an interface unit, a gateway unit and a 5G unit;
the 5G unit is respectively connected with the interface unit and the gateway unit;
the interface unit comprises a plurality of different types of control interfaces, and the control interfaces are used for connecting the data acquisition equipment;
the gateway unit comprises a plurality of communication interfaces, and the communication interfaces are used for connecting the terminal of the Internet of things; the communication interface supports a plurality of different types of internet of things communication protocols;
the 5G unit is used for connecting a 5G network and carrying out data transmission and interaction through the 5G network.
5. A 5G-based industrial data acquisition and control system according to claim 3, wherein: the data acquisition equipment comprises a plurality of sensors, instrument equipment, industrial machine equipment and mobile terminal equipment.
6. A 5G-based industrial data acquisition and control system according to claim 1, wherein: in the decision control module, an adaptive control algorithm is adopted to generate the control strategy, and specifically, model reference adaptive control in the adaptive control algorithm is adopted.
7. A 5G-based industrial data acquisition and control system according to claim 6, wherein: the industrial data acquisition and control system is used as an actual system, and the model reference self-adaptive control comprises a reference model, an adjustable system and a self-adaptive mechanism;
the adjustable system comprises a controlled object, a front-end controller and a feedback controller;
the reference model is used for defining a desired output response and guiding the design and parameter adjustment of the adaptive mechanism;
the adjustable system is used for continuously adjusting parameters of the self-adaptive mechanism according to the response and the error of the actual system;
the self-adaptive mechanism is used for updating parameters of the adjustable system according to feedback information and errors of the actual system.
8. A 5G-based industrial data acquisition and control system according to claim 7, wherein: generating the control strategy based on the model reference adaptive control comprises the steps of:
s11, determining response characteristics of the actual system and defining a reference model; wherein the reference model is expressed as a relationship of output or state of the actual system over time;
s12, designing the self-adaptive mechanism according to the difference between the reference model and the actual system;
s13, estimating parameters of the actual system in adaptive control;
s14, calculating a control signal according to the design of the self-adaptive mechanism and the estimation of actual system parameters;
s15, adjusting parameters of the self-adaptive mechanism by using an updating rule according to the difference between the actual response and the reference model;
s16, repeatedly executing the step S13 to the step S15, and continuously iterating and optimizing parameters of the self-adaptive mechanism and response of the actual system.
9. A 5G-based industrial data acquisition and control system according to claim 2, wherein: the security monitoring module comprises a data monitoring unit, a behavior monitoring unit, a report generating unit and an encryption protection unit;
the data monitoring unit and the behavior monitoring unit are respectively in communication connection with the report generating unit;
the report generating unit is in communication connection with the encryption protection unit;
the data monitoring unit is used for monitoring the industrial data acquired by the data acquisition equipment and the system data in the industrial data acquisition and control system in real time to generate a data monitoring result;
the behavior monitoring unit is used for performing behavior monitoring on the operation and behavior of each device in the industrial data acquisition and control system and the control signal to generate a behavior monitoring result;
the report generating unit is used for generating a data monitoring report and a behavior monitoring report for the monitoring result according to the data monitoring result and the line information;
the encryption protection unit is used for encrypting the data in the data monitoring unit according to the data monitoring report; and the system is also used for protecting the equipment operation and the control signals in the behavior monitoring unit according to the behavior monitoring report.
10. The 5G-based industrial data acquisition and control method is characterized by comprising the following steps of: the method comprises the following steps:
s1, detecting industrial data in real time;
s2, controlling data acquisition equipment to acquire industrial data through an industrial data acquisition controller;
s3, carrying out integrity judgment on the acquired industrial data, and if the industrial data are complete, executing a step S5; if the industrial data is incomplete, executing a step S4;
s4, controlling the data acquisition equipment to acquire the industrial data through the terminal of the Internet of things, and sending the acquired industrial data to the industrial data acquisition controller;
s5, storing, analyzing and processing the industrial data to obtain an analysis result;
s6, generating a control strategy according to the analysis result and the industrial data, and performing control operation on industrial production equipment according to the control strategy;
s7, carrying out data monitoring on the industrial data to obtain a data monitoring result;
s8, performing behavior monitoring on the control operation of the industrial production equipment to obtain a behavior monitoring result;
s9, carrying out data encryption on the industrial data according to the data monitoring result; performing behavior protection on the control operation according to the behavior monitoring result;
s10, configuring parameters on a human-computer interface, displaying the real-time state of the industrial production equipment, checking real-time data and performing human-computer interaction;
the industrial data acquisition controller is respectively connected with the data acquisition equipment and the terminal of the Internet of things;
the industrial data acquisition controller is also connected with the human-computer interface;
the terminal of the Internet of things is connected with the data acquisition equipment;
the industrial data acquisition controller comprises a control signal, wherein the control signal is used for controlling the operation of the industrial production equipment;
the data acquisition equipment is connected with the industrial production equipment or integrated on the industrial production equipment.
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