CN116483019B - Industrial Internet of things cloud management and control system based on PLC - Google Patents

Industrial Internet of things cloud management and control system based on PLC Download PDF

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CN116483019B
CN116483019B CN202310714459.7A CN202310714459A CN116483019B CN 116483019 B CN116483019 B CN 116483019B CN 202310714459 A CN202310714459 A CN 202310714459A CN 116483019 B CN116483019 B CN 116483019B
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information
analysis
industrial equipment
things
secondary analysis
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CN116483019A (en
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罗灿
姚永兴
熊磊
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Shenzhen Huichen Automation Technology Co ltd
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Shenzhen Huichen Automation Technology Co ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/05Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
    • G05B19/054Input/output
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/10Plc systems
    • G05B2219/11Plc I-O input output
    • G05B2219/1103Special, intelligent I-O processor, also plc can only access via processor
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention provides an industrial Internet of things cloud management and control system based on a PLC (programmable logic controller), which comprises a PLC Internet of things terminal, an edge processing terminal and a cloud management and control terminal; the PLC internet of things terminal is used for collecting and controlling electrical parameters of industrial equipment; the PLC internet of things terminal is used for carrying out primary analysis on the electrical parameter information of the industrial equipment to generate primary analysis information; the edge processing terminal is used for generating secondary analysis address information according to the primary analysis information; when the secondary analysis address is local, the PLC internet of things terminal performs secondary analysis on the electrical parameter information of the industrial equipment and performs control operation according to an analysis result; when the secondary analysis address is different places, the edge processing terminal is used for transmitting the secondary analysis address information and the electrical parameter information to the cloud management and control terminal; the cloud management and control terminal is used for carrying out secondary analysis and returning corresponding control operation according to an analysis result. The cloud management and control system has the effect of improving the cloud management and control quality of the industrial Internet of things.

Description

Industrial Internet of things cloud management and control system based on PLC
Technical Field
The invention relates to the technical field of cloud management and control of the Internet of things, in particular to an industrial Internet of things cloud management and control system based on a PLC.
Background
The industrial Internet of things cloud management and control system is a management system based on cloud computing and Internet of things technology and is used for managing and monitoring industrial equipment and production processes. The sensor, the equipment, the network and the cloud platform are connected, and the functions of data acquisition, real-time monitoring, remote control, data analysis and the like are realized, so that the efficiency, quality and reliability of industrial production are improved.
Many industrial internet of things management and control systems have been developed, and through extensive searching and reference, it is found that the industrial internet of things management and control systems in the prior art have industrial internet of things management and control systems as disclosed in publication nos. CN110533365A, CN114912771A, CN114462773A, EP2897010A2, US20230115799A1 and JP2021039728a, and these industrial internet of things management and control systems generally include: the system comprises a controller, internet of things equipment, an Internet of things equipment management center and a control terminal, wherein the controller is connected with the control terminal through the Internet of things equipment, the Internet of things equipment management center and the control terminal; the control terminal is used for acquiring working data of all the Internet of things devices from the Internet of things device management center; the control terminal is used for analyzing and generating control instructions according to the working data of the Internet of things equipment; the controller is further used for executing corresponding control instructions so as to control corresponding Internet of things equipment. Because the management and control mode of the management and control system of the Internet of things is single, the management and control timeliness and accuracy of the equipment of the Internet of things are reduced, and the defect of reduced quality of cloud management and control of the industrial Internet of things is caused.
Disclosure of Invention
The invention aims to provide an industrial Internet of things cloud management and control system based on a PLC (programmable logic controller) aiming at the defects of the industrial Internet of things management and control system.
The invention adopts the following technical scheme:
the industrial Internet of things cloud management and control system based on the PLC comprises a PLC Internet of things terminal, an edge processing terminal and a cloud management and control terminal; the PLC internet of things terminal is electrically connected with industrial equipment and is used for collecting and controlling electrical parameters of the industrial equipment; the PLC internet of things terminal is used for carrying out primary analysis on the electrical parameter information of the industrial equipment to generate primary analysis information; the edge processing terminal is electrically connected with the PLC internet of things terminal and is used for generating secondary analysis address information according to the primary analysis information; when the secondary analysis address information indicates that the secondary analysis address is local, the PLC internet of things terminal performs secondary analysis on the electrical parameter information of the industrial equipment and performs control operation according to an analysis result; when the secondary analysis address information indicates that the secondary analysis address is different, the edge processing terminal is used for transmitting the secondary analysis address information and the electrical parameter information of the industrial equipment to the cloud management and control terminal; the cloud control terminal is used for carrying out secondary analysis according to the secondary analysis address information and the electrical parameter information of the industrial equipment and returning corresponding control operation according to an analysis result;
the PLC Internet of things terminal comprises a PLC Internet of things module and a primary analysis information generation module; the PLC internet of things module is used for collecting and controlling electrical parameters of industrial equipment; the primary analysis information generation module is used for carrying out primary analysis according to the electrical parameters and generating corresponding primary analysis information;
the edge processing terminal comprises a secondary analysis address generation module, a secondary analysis address analysis module, an edge secondary analysis module and an information transmission module; the secondary analysis address generation module is used for generating secondary analysis address information according to the primary analysis information; the secondary analysis address analysis module is used for reading and analyzing secondary analysis address information; when the analysis result of the secondary analysis address analysis module indicates that the secondary analysis address is local, the edge secondary analysis module is used for carrying out secondary analysis on the electrical parameter information of the industrial equipment and carrying out control operation according to the analysis result; when the analysis result of the secondary analysis address analysis module indicates that the secondary analysis address is different, the information transmission module is used for transmitting secondary analysis address information and electric parameter information of industrial equipment to the cloud control terminal.
Optionally, the PLC internet of things module includes a PLC internet of things sub-module and an electrical parameter acquisition mode selection sub-module; the PLC IOT submodule is used for collecting and controlling electric parameters of industrial equipment; the electric parameter acquisition mode selection submodule is used for selecting a corresponding electric parameter acquisition mode for the PLC internet of things submodule according to the working information of industrial equipment, the on-site worker information and the sampling information of the PLC internet of things submodule.
Optionally, the electrical parameter acquisition mode selection submodule comprises a frequency index calculation unit and an electrical parameter acquisition mode selection unit; the frequency index calculation unit is used for calculating a corresponding frequency index according to the working information of the industrial equipment, the on-site worker information and the sampling information of the PLC internet of things submodule; the electric parameter acquisition mode selection unit is used for selecting a corresponding electric parameter sampling mode according to the frequency index;
when the frequency index calculation unit operates, the following equation is satisfied:
wherein ,representing a frequency index; />A coefficient selection function representing a type of the industrial equipment and an operation state thereof in the operation information based on the industrial equipment; />Indicating the type and the working state of industrial equipment in the working information of the industrial equipment; />Representing the first type of industrial equipment and the state of the first type of industrial equipment is a light load state; the light load state represents a working state that the working power of industrial equipment is lower than rated power; />Representing a first type of industrial equipment and having a state that is either a full load state or an overload state;representing a second type of industrial equipment and the state of the second type of industrial equipment is a light load state;/>representing a second type of industrial equipment and having a state that is either a full load state or an overload state; />Representing a third type of industrial equipment and having a light load state;/>representing a third classIndustrial equipment and its state is full load state or overload state; />、/> and />Respectively representing different weight coefficient values, which are set by an administrator according to experience;
indicating +.>Age information coefficients of the individual workers; />Indicating +.>The work age value of the individual worker; />Indicating +.>Age number of individual workers; />Representing a worker reference age value responsible for corresponding industrial equipment in the on-site worker information, and setting by an administrator according to experience; />A reference weight coefficient indicating an age information coefficient, which is empirically set by an administrator;
a weight coefficient indicating an average sampling frequency, which is empirically set by an administrator; />Representing average sampling frequency in a historical week in sampling information of a PLC internet of things sub-module; />Representing the +.f. in the historical week time in the sampling information of the PLC thing networking submodule>Sampling frequency values corresponding to the sub-modules of the Internet of things of the PLC in the daytime;
when the electric parameter acquisition mode selection unit works, the following formula is satisfied:
wherein ,representing an electrical parameter acquisition mode selection function; 1 to->Respectively represent different electric parameter acquisition modes, 1 to +.>The electric parameter acquisition frequency in the mode is sequentially increased; />To->Each representing a different mode selection threshold, each set empirically by an administrator.
Optionally, the primary analysis information generation module includes a primary analysis sub-module and a primary analysis information generation sub-module; the primary analysis sub-module is used for carrying out primary analysis index calculation according to the electrical parameters of the corresponding industrial equipment; the primary analysis information generation sub-module is used for generating corresponding primary analysis information according to the primary analysis index;
when the primary analysis submodule calculates, the following equation is satisfied:
wherein ,representing a primary analytical index for the corresponding industrial device; />Is indicated at->The total times that the sampling value of the input voltage of the corresponding industrial equipment exceeds the voltage threshold value in the sample time period under the electric parameter acquisition mode; the sample time period is expressed in +.>An acquisition time period selected by an administrator in the process of acquiring the electric parameters in the electric parameter acquisition mode; the voltage threshold is empirically set by an administrator; />Is indicated at->The total times that the sampling value of the working current of the corresponding industrial equipment exceeds the current threshold value in the sample time period under the electric parameter acquisition mode; the current threshold is empirically set by an administrator; /> and />Respectively representing a first conversion coefficient and a second conversion coefficient, which are set by an administrator according to experience;
when (when)When the primary analysis information is generated, the secondary analysis address in the secondary analysis address information is local; when->When the primary analysis information is generated, the secondary analysis address in the secondary analysis address information is different; />Representing the second-stage analysis address determination threshold.
The industrial Internet of things cloud control method based on the PLC is applied to the industrial Internet of things cloud control system based on the PLC, and comprises the following steps:
s1, collecting and controlling electrical parameters of industrial equipment;
s2, carrying out primary analysis on the electrical parameter information of the industrial equipment to generate primary analysis information;
s3, generating secondary analysis address information according to the primary analysis information;
s4, when the secondary analysis address information indicates that the secondary analysis address is local, performing secondary analysis on the electrical parameter information of the industrial equipment and performing control operation according to an analysis result;
s5, when the secondary analysis address information indicates that the secondary analysis address is different, transmitting the secondary analysis address information and the electrical parameter information of the industrial equipment to a cloud management and control terminal;
s6, carrying out secondary analysis according to the secondary analysis address information and the electrical parameter information of the industrial equipment, and returning corresponding control operation according to the analysis result.
The beneficial effects obtained by the invention are as follows:
the PLC internet of things terminal, the edge processing terminal and the cloud management and control terminal are arranged, the accuracy and timeliness of the internet of things cloud management and control are improved through the self-adaption conditions of the edge processing mode and the center processing mode, and the step-by-step analysis mode of primary analysis and secondary analysis is beneficial to improving the control efficiency, so that the quality of the industrial internet of things cloud management and control is improved;
the arrangement of the PLC internet of things module and the primary analysis information generation module is beneficial to improving the generation efficiency of primary analysis information and the control speed and timeliness of the internet of things, so that the cloud management and control quality of the industrial internet of things is improved;
the arrangement of the secondary analysis address generation module, the secondary analysis address analysis module, the edge secondary analysis module and the information transmission module is beneficial to efficiently generating secondary analysis address information according to primary analysis information, and improves the efficiency of secondary analysis, thereby improving the cloud management and control quality of the industrial Internet of things;
the PLC internet of things submodule and the electric parameter acquisition mode selection submodule are arranged to be beneficial to selecting a corresponding electric parameter acquisition mode for the PLC internet of things submodule according to the working information of industrial equipment, the site worker information and the sampling information of the PLC internet of things submodule, so that the accuracy and the adaptability of electric parameter acquisition are improved, and the cloud management and control quality of the industrial internet of things is improved;
the frequency index calculation unit and the electric parameter acquisition mode selection unit are matched with the frequency index algorithm and the electric parameter acquisition mode selection algorithm, so that the accuracy of frequency index and electric parameter acquisition mode selection is improved, the corresponding electric parameter acquisition mode is selected according to different industrial equipment, the electric parameter acquisition process is more accurate and efficient, and the cloud management and control quality of the industrial Internet of things is improved;
the primary analysis sub-module and the primary analysis information generation sub-module are matched with a primary analysis index algorithm, so that the accuracy of the primary analysis index is improved, the accuracy of primary analysis is improved, the accuracy of a secondary analysis address is improved, and the cloud management and control quality of the industrial Internet of things is improved;
the arrangement of the edge secondary analysis index calculation sub-module and the edge secondary treatment sub-module is matched with an edge secondary analysis index algorithm and a cloud secondary analysis index algorithm, so that the accuracy of the edge secondary analysis index is improved, the accuracy of the cloud secondary analysis index is improved, the control quality of the system on industrial equipment is further improved, and the cloud management and control quality of the industrial Internet of things is further improved.
For a further understanding of the nature and the technical aspects of the present invention, reference should be made to the following detailed description of the invention and the accompanying drawings, which are provided for purposes of reference only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic diagram of the overall structure of the present invention;
fig. 2 is a schematic structural diagram of a PLC internet of things module according to the present invention;
FIG. 3 is a schematic flow chart of a method for controlling the cloud of the industrial Internet of things based on the PLC in the invention;
FIG. 4 is a schematic diagram of an edge secondary analysis module according to the present invention;
fig. 5 is a schematic diagram of the overall structure of the present invention in another embodiment.
Detailed Description
The following embodiments of the present invention are described in terms of specific examples, and those skilled in the art will appreciate the advantages and effects of the present invention from the disclosure herein. The invention is capable of other and different embodiments and its several details are capable of modification and variation in various respects, all without departing from the spirit of the present invention. The drawings of the present invention are merely schematic illustrations, and are not drawn to actual dimensions, and are stated in advance. The following embodiments will further illustrate the related art of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one: the embodiment provides an industrial Internet of things cloud management and control system based on a PLC. Referring to fig. 1, an industrial internet of things cloud management and control system based on a PLC includes a PLC internet of things terminal, an edge processing terminal, and a cloud management and control terminal; the PLC internet of things terminal is electrically connected with industrial equipment and is used for collecting and controlling electrical parameters of the industrial equipment; the PLC internet of things terminal is used for carrying out primary analysis on the electrical parameter information of the industrial equipment to generate primary analysis information; the edge processing terminal is electrically connected with the PLC internet of things terminal and is used for generating secondary analysis address information according to the primary analysis information; when the secondary analysis address information indicates that the secondary analysis address is local, the PLC internet of things terminal performs secondary analysis on the electrical parameter information of the industrial equipment and performs control operation according to an analysis result; when the secondary analysis address information indicates that the secondary analysis address is different, the edge processing terminal is used for transmitting the secondary analysis address information and the electrical parameter information of the industrial equipment to the cloud management and control terminal; the cloud control terminal is used for carrying out secondary analysis according to the secondary analysis address information and the electrical parameter information of the industrial equipment and returning corresponding control operation according to an analysis result;
the PLC Internet of things terminal comprises a PLC Internet of things module and a primary analysis information generation module; the PLC internet of things module is used for collecting and controlling electrical parameters of industrial equipment; the primary analysis information generation module is used for carrying out primary analysis according to the electrical parameters and generating corresponding primary analysis information;
the edge processing terminal comprises a secondary analysis address generation module, a secondary analysis address analysis module, an edge secondary analysis module and an information transmission module; the secondary analysis address generation module is used for generating secondary analysis address information according to the primary analysis information; the secondary analysis address analysis module is used for reading and analyzing secondary analysis address information; when the analysis result of the secondary analysis address analysis module indicates that the secondary analysis address is local, the edge secondary analysis module is used for carrying out secondary analysis on the electrical parameter information of the industrial equipment and carrying out control operation according to the analysis result; when the analysis result of the secondary analysis address analysis module indicates that the secondary analysis address is different, the information transmission module is used for transmitting secondary analysis address information and electric parameter information of industrial equipment to the cloud control terminal.
Optionally, referring to fig. 2, the PLC internet of things module includes a PLC internet of things sub-module and an electrical parameter acquisition mode selection sub-module; the PLC IOT submodule is used for collecting and controlling electric parameters of industrial equipment; the electric parameter acquisition mode selection submodule is used for selecting a corresponding electric parameter acquisition mode for the PLC internet of things submodule according to the working information of industrial equipment, the on-site worker information and the sampling information of the PLC internet of things submodule.
Optionally, the electrical parameter acquisition mode selection submodule comprises a frequency index calculation unit and an electrical parameter acquisition mode selection unit; the frequency index calculation unit is used for calculating a corresponding frequency index according to the working information of the industrial equipment, the on-site worker information and the sampling information of the PLC internet of things submodule; the electric parameter acquisition mode selection unit is used for selecting a corresponding electric parameter sampling mode according to the frequency index;
when the frequency index calculation unit operates, the following equation is satisfied:
wherein ,representing a frequency index; />A coefficient selection function representing a type of the industrial equipment and an operation state thereof in the operation information based on the industrial equipment; />Indicating the type and the working state of industrial equipment in the working information of the industrial equipment; />Representing a first type of industrial equipment andthe state is a light load state; the light load state represents a working state that the working power of industrial equipment is lower than rated power; />Representing a first type of industrial equipment and having a state that is either a full load state or an overload state;representing a second type of industrial equipment and the state of the second type of industrial equipment is a light load state;/>representing a second type of industrial equipment and having a state that is either a full load state or an overload state; />Representing a third type of industrial equipment and having a light load state;/>representing a third type of industrial equipment and having a state that is either a full load state or an overload state; />、/> and />Respectively representing different weight coefficient values, which are set by an administrator according to experience;
indicating +.>Age information coefficients of the individual workers; />Representing the first of the field worker information responsible for the corresponding industrial equipment/>The work age value of the individual worker; />Indicating +.>Age number of individual workers; />Representing a worker reference age value responsible for corresponding industrial equipment in the on-site worker information, and setting by an administrator according to experience; />A reference weight coefficient indicating an age information coefficient, which is empirically set by an administrator;
a weight coefficient indicating an average sampling frequency, which is empirically set by an administrator; />Representing average sampling frequency in a historical week in sampling information of a PLC internet of things sub-module; />Representing the +.f. in the historical week time in the sampling information of the PLC thing networking submodule>Sampling frequency values corresponding to the sub-modules of the Internet of things of the PLC in the daytime;
when the electric parameter acquisition mode selection unit works, the following formula is satisfied:
wherein ,representing an electrical parameter acquisition mode selection function; 1 to->Respectively represent different electric parameter acquisition modes, 1 to +.>The electric parameter acquisition frequency in the mode is sequentially increased; />To->Each representing a different mode selection threshold, each set empirically by an administrator.
Optionally, the primary analysis information generation module includes a primary analysis sub-module and a primary analysis information generation sub-module; the primary analysis sub-module is used for carrying out primary analysis index calculation according to the electrical parameters of the corresponding industrial equipment; the primary analysis information generation sub-module is used for generating corresponding primary analysis information according to the primary analysis index;
when the primary analysis submodule calculates, the following equation is satisfied:
wherein ,representing a primary analytical index for the corresponding industrial device; />Is indicated at->The total times that the sampling value of the input voltage of the corresponding industrial equipment exceeds the voltage threshold value in the sample time period under the electric parameter acquisition mode; the sample time period is expressed in +.>An acquisition time period selected by an administrator in the process of acquiring the electric parameters in the electric parameter acquisition mode; the voltage threshold is empirically set by an administrator; />Is indicated at->The total times that the sampling value of the working current of the corresponding industrial equipment exceeds the current threshold value in the sample time period under the electric parameter acquisition mode; the current threshold is empirically set by an administrator; /> and />Respectively representing a first conversion coefficient and a second conversion coefficient, which are set by an administrator according to experience;
when (when)When the primary analysis information is generated, the secondary analysis address in the secondary analysis address information is local; when->When the primary analysis information is generated, the secondary analysis address in the secondary analysis address information is different from the place. />The second-stage analysis address determination threshold is set empirically by an administrator.
It should be noted that the sample period may be, but is not limited to, the period before the industrial equipment is startedSecond,/->Is set by the administrator according to experienceAnd (5) setting.
The utility model provides an industrial internet of things cloud management and control method based on PLC, is applied to an industrial internet of things cloud management and control system based on PLC as above, combines the figure 3 to show, industrial internet of things cloud management and control method includes:
s1, collecting and controlling electrical parameters of industrial equipment;
s2, carrying out primary analysis on the electrical parameter information of the industrial equipment to generate primary analysis information;
s3, generating secondary analysis address information according to the primary analysis information;
s4, when the secondary analysis address information indicates that the secondary analysis address is local, performing secondary analysis on the electrical parameter information of the industrial equipment and performing control operation according to an analysis result;
s5, when the secondary analysis address information indicates that the secondary analysis address is different, transmitting the secondary analysis address information and the electrical parameter information of the industrial equipment to a cloud management and control terminal;
s6, carrying out secondary analysis according to the secondary analysis address information and the electrical parameter information of the industrial equipment, and returning corresponding control operation according to the analysis result.
Embodiment two: the embodiment includes the whole content of the first embodiment, and provides a PLC-based industrial internet of things cloud management and control system, and as shown in fig. 4, the edge secondary analysis module includes an edge secondary analysis index calculation sub-module and an edge secondary processing sub-module; the edge secondary analysis index calculation sub-module is used for calculating the edge secondary analysis index according to the current stateCalculating an edge secondary analysis index according to the electrical parameter data after the sample time period in the electrical parameter acquisition mode; the edge secondary treatment sub-module is used for controlling the industrial equipment according to the edge secondary analysis index of the corresponding industrial equipment;
when the edge secondary analysis index calculation sub-module calculates, the following equation is satisfied:
wherein ,representing an edge secondary analysis index of the corresponding industrial equipment; />Representing an absolute value of a difference between a sampled value of the operating current of the corresponding industrial device and a reference operating current after the sample period; />Representing an absolute value of a difference between a sampled value of the input voltage of the corresponding industrial device and a reference input voltage after the sample period; />Representing the corresponding industrial equipment operating current sampled value after the sample period; />Representing a reference operating current for the corresponding industrial device; />Representing a corresponding industrial device input voltage sample value after a sample period; />Representing a reference input voltage for the corresponding industrial device; /> and />Respectively represent a first absolute value weight coefficient and a second absolute value weight coefficientThe absolute value weight coefficients are all set empirically by an administrator.
When (when)When the edge secondary treatment submodule is used, the corresponding industrial equipment is controlled to continue to operate; when->And when the edge secondary treatment submodule is used, the corresponding industrial equipment is controlled to stop operating. />The representative edge secondary analysis reference index threshold is empirically set by an administrator.
Referring to fig. 5, the cloud management and control terminal includes a cloud secondary analysis module and a transceiver module; the receiving and transmitting module is used for receiving the electrical parameter data of the industrial equipment from the information transmission module and sending the corresponding control instruction to the corresponding industrial equipment.
The cloud secondary analysis module comprises a cloud secondary analysis index calculation sub-module and a control instruction generation sub-module; the cloud secondary analysis index calculation sub-module is used for calculating a cloud secondary analysis index according to the electrical parameter data of the industrial equipment after the sample time period; the control instruction generation sub-module is used for generating a corresponding control instruction according to the cloud secondary analysis index; when the cloud secondary analysis index calculation submodule calculates, the following equation is satisfied:
wherein ,representing a cloud secondary analysis index; />Representing an absolute value of a difference between a corresponding industrial equipment operating power sampling value and a reference operating power after a sample period; />Representing a corresponding industrial equipment operating power sample value after a sample period; />Indicating the operating power of the corresponding industrial equipment.
When the control instruction generation sub-module works, the following formula is satisfied:
wherein , a control instruction representing a cloud secondary analysis index; />、/> and />Respectively representing different control instruction selection thresholds, which are set by an administrator according to experience; />The first control instruction is used for driving the corresponding industrial equipment to keep the current working state to continue to operate; />The second control instruction is used for driving the corresponding industrial equipment to be switched to a light-load state to continue operation; />Representing a third control instruction for driving the corresponding industrial equipment to monitor by workersKeeping the current state under view to continue operation; />And a fourth control instruction is indicated and used for driving the corresponding industrial equipment to stop operating.
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by the application of the present invention and the accompanying drawings are included in the scope of the invention, and in addition, the elements in the invention can be updated with the technical development.

Claims (3)

1. The industrial Internet of things cloud management and control system based on the PLC is characterized by comprising a PLC Internet of things terminal, an edge processing terminal and a cloud management and control terminal; the PLC internet of things terminal is electrically connected with industrial equipment and is used for collecting and controlling electrical parameters of the industrial equipment; the PLC internet of things terminal is used for carrying out primary analysis on the electrical parameter information of the industrial equipment to generate primary analysis information; the edge processing terminal is electrically connected with the PLC internet of things terminal and is used for generating secondary analysis address information according to the primary analysis information; when the secondary analysis address information indicates that the secondary analysis address is local, the edge processing terminal performs secondary analysis on the electrical parameter information of the industrial equipment and performs control operation according to an analysis result; when the secondary analysis address information indicates that the secondary analysis address is different, the edge processing terminal is used for transmitting the secondary analysis address information and the electrical parameter information of the industrial equipment to the cloud management and control terminal; the cloud control terminal is used for carrying out secondary analysis according to the secondary analysis address information and the electrical parameter information of the industrial equipment and returning corresponding control operation according to an analysis result;
the PLC Internet of things terminal comprises a PLC Internet of things module and a primary analysis information generation module; the PLC internet of things module is used for collecting and controlling electrical parameters of industrial equipment; the primary analysis information generation module is used for carrying out primary analysis according to the electrical parameters and generating corresponding primary analysis information;
the edge processing terminal comprises a secondary analysis address generation module, a secondary analysis address analysis module, an edge secondary analysis module and an information transmission module; the secondary analysis address generation module is used for generating secondary analysis address information according to the primary analysis information; the secondary analysis address analysis module is used for reading and analyzing secondary analysis address information; when the analysis result of the secondary analysis address analysis module indicates that the secondary analysis address is local, the edge secondary analysis module is used for carrying out secondary analysis on the electrical parameter information of the industrial equipment and carrying out control operation according to the analysis result; when the analysis result of the secondary analysis address analysis module indicates that the secondary analysis address is different, the information transmission module is used for transmitting secondary analysis address information and electric parameter information of industrial equipment to the cloud management and control terminal;
the PLC Internet of things module comprises a PLC Internet of things sub-module and an electric parameter acquisition mode selection sub-module; the PLC IOT submodule is used for collecting and controlling electric parameters of industrial equipment; the electric parameter acquisition mode selection submodule is used for selecting a corresponding electric parameter acquisition mode for the PLC internet of things submodule according to the working information of industrial equipment, the on-site worker information and the sampling information of the PLC internet of things submodule;
the electric parameter acquisition mode selection submodule comprises a frequency index calculation unit and an electric parameter acquisition mode selection unit; the frequency index calculation unit is used for calculating a corresponding frequency index according to the working information of the industrial equipment, the on-site worker information and the sampling information of the PLC internet of things submodule; the electric parameter acquisition mode selection unit is used for selecting a corresponding electric parameter sampling mode according to the frequency index;
when the frequency index calculation unit operates, the following equation is satisfied:
wherein ,representing a frequency index; />A coefficient selection function representing a type of the industrial equipment and an operation state thereof in the operation information based on the industrial equipment; />Indicating the type and the working state of industrial equipment in the working information of the industrial equipment; />Representing the first type of industrial equipment and the state of the first type of industrial equipment is a light load state; the light load state represents a working state that the working power of industrial equipment is lower than rated power; />Representing a first type of industrial equipment and having a state that is either a full load state or an overload state; />Representing a second type of industrial equipment and the state of the second type of industrial equipment is a light load state; />Representing a second type of industrial equipment and having a state that is either a full load state or an overload state; />Representing a third type of industrial equipment and having a light load state; />Representing a third type of industrial equipment and having a state that is either a full load state or an overload state; />、/> and />Respectively representing different weight coefficient values;
indicating +.>Age information coefficients of the individual workers; />Indicating +.>The work age value of the individual worker; />Indicating +.>Age number of individual workers; />Representing a worker reference age value responsible for corresponding industrial equipment in the on-site worker information; />A reference weight coefficient representing an age information coefficient;
a weight coefficient representing an average sampling frequency; />Representing average sampling frequency in a historical week in sampling information of a PLC internet of things sub-module; />Representing the +.f. in the historical week time in the sampling information of the PLC thing networking submodule>Sampling frequency values corresponding to the sub-modules of the Internet of things of the PLC in the daytime;
when the electric parameter acquisition mode selection unit works, the following formula is satisfied:
wherein ,representing an electrical parameter acquisition mode selection function; 1 to->Respectively represent different electric parameter acquisition modes, 1 to +.>The electric parameter acquisition frequency in the mode is sequentially increased; />To->Respectively representing different mode selection thresholds.
2. The PLC-based industrial internet of things cloud management and control system of claim 1, wherein the primary analysis information generation module comprises a primary analysis sub-module and a primary analysis information generation sub-module; the primary analysis sub-module is used for carrying out primary analysis index calculation according to the electrical parameters of the corresponding industrial equipment; the primary analysis information generation sub-module is used for generating corresponding primary analysis information according to the primary analysis index;
when the primary analysis submodule calculates, the following equation is satisfied:
wherein ,representing a primary analytical index for the corresponding industrial device; />Is indicated at->The total times that the sampling value of the input voltage of the corresponding industrial equipment exceeds the voltage threshold value in the sample time period under the electric parameter acquisition mode; the sample time period is expressed in +.>An acquisition time period selected by an administrator in the process of acquiring the electric parameters in the electric parameter acquisition mode; />Is indicated at->In the sample time period under the electric parameter collection modeThe total times that the corresponding industrial equipment working current sampling value exceeds the current threshold value; /> and />Respectively representing a first conversion coefficient and a second conversion coefficient;
when (when)When the primary analysis information is generated, the secondary analysis address in the secondary analysis address information is local; when (when)When the primary analysis information is generated, the secondary analysis address in the secondary analysis address information is different; />Representing the second-stage analysis address determination threshold.
3. The industrial internet of things cloud control method based on the PLC is applied to the industrial internet of things cloud control system based on the PLC as claimed in claim 2, and is characterized in that the industrial internet of things cloud control method comprises the following steps:
s1, collecting and controlling electrical parameters of industrial equipment;
s2, carrying out primary analysis on the electrical parameter information of the industrial equipment to generate primary analysis information;
s3, generating secondary analysis address information according to the primary analysis information;
s4, when the secondary analysis address information indicates that the secondary analysis address is local, performing secondary analysis on the electrical parameter information of the industrial equipment and performing control operation according to an analysis result;
s5, when the secondary analysis address information indicates that the secondary analysis address is different, transmitting the secondary analysis address information and the electrical parameter information of the industrial equipment to a cloud management and control terminal;
s6, carrying out secondary analysis according to the secondary analysis address information and the electrical parameter information of the industrial equipment, and returning corresponding control operation according to the analysis result.
CN202310714459.7A 2023-06-16 2023-06-16 Industrial Internet of things cloud management and control system based on PLC Active CN116483019B (en)

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