CN111665802A - Intelligent system applied to intelligent factory, implementation method and application thereof - Google Patents
Intelligent system applied to intelligent factory, implementation method and application thereof Download PDFInfo
- Publication number
- CN111665802A CN111665802A CN202010463588.XA CN202010463588A CN111665802A CN 111665802 A CN111665802 A CN 111665802A CN 202010463588 A CN202010463588 A CN 202010463588A CN 111665802 A CN111665802 A CN 111665802A
- Authority
- CN
- China
- Prior art keywords
- information
- layer
- data
- intelligent
- measurement
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000007499 fusion processing Methods 0.000 claims abstract description 78
- 238000005259 measurement Methods 0.000 claims abstract description 62
- 238000012545 processing Methods 0.000 claims abstract description 30
- 238000004519 manufacturing process Methods 0.000 claims abstract description 17
- 230000003993 interaction Effects 0.000 claims abstract description 13
- 230000005540 biological transmission Effects 0.000 claims description 18
- 230000004927 fusion Effects 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 7
- 230000007613 environmental effect Effects 0.000 claims description 7
- 238000006073 displacement reaction Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 230000002776 aggregation Effects 0.000 claims description 4
- 238000004220 aggregation Methods 0.000 claims description 4
- 238000007405 data analysis Methods 0.000 claims description 4
- 238000009826 distribution Methods 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 4
- 239000000047 product Substances 0.000 claims description 4
- 239000011265 semifinished product Substances 0.000 claims description 4
- 239000013589 supplement Substances 0.000 claims description 4
- 230000001502 supplementing effect Effects 0.000 claims description 3
- 238000007726 management method Methods 0.000 abstract description 9
- 238000010586 diagram Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
Images
Classifications
-
- 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] or computer integrated manufacturing [CIM]
- G05B19/4185—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] or computer integrated manufacturing [CIM] characterised by the network communication
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- 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] or 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] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y10/00—Economic sectors
- G16Y10/25—Manufacturing
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y20/00—Information sensed or collected by the things
- G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/20—Analytics; Diagnosis
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/30—Control
- G16Y40/35—Management of things, i.e. controlling in accordance with a policy or in order to achieve specified objectives
-
- 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]
-
- 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
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Manufacturing & Machinery (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- General Engineering & Computer Science (AREA)
- Economics (AREA)
- Automation & Control Theory (AREA)
- Quality & Reliability (AREA)
- Environmental & Geological Engineering (AREA)
- Human Resources & Organizations (AREA)
- Tourism & Hospitality (AREA)
- Toxicology (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Primary Health Care (AREA)
- Biomedical Technology (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- General Factory Administration (AREA)
Abstract
The invention discloses an intelligent system applied to an intelligent factory, an implementation method and application thereof, belonging to the technical field of intelligent management and control of the intelligent factory, and comprising a measurement and control layer, an information fusion processing layer, a backbone network layer, a data application layer and an intelligent decision layer; the information fusion processing layer comprises an intelligent control unit and a plurality of intelligent Internet of things gateways, and the intelligent Internet of things gateways comprise Internet of things gateways and Internet terminals. The invention adopts the architecture of the Internet of things and the Internet, achieves the optimal data link planning configuration by redefining the functions of the measurement and control layer and the information fusion processing layer components, effectively screens and marks information at the source of information production so as to reduce the information interaction amount and the processing amount of the system and improve the system efficiency, and can automatically make and adjust the operation instruction of an industrial field according to the acquired object through the intelligent decision layer and configure the terminal operation rules of the information fusion processing layer and the measurement and control layer on line.
Description
Technical Field
The invention relates to the technical field of intelligent management and control of intelligent factories, in particular to an intelligent system applied to an intelligent factory, an implementation method and application thereof.
Background
With the development of information technology, internet of things technology and artificial intelligence technology, "smart factories" and "smart manufacturing" have become reality. However, under the existing technical conditions and system architecture, the following difficulties and disadvantages exist in realizing the intelligent factory: firstly, a unified planning and standard system is lacked, resources are wasted, and the functions of various systems coexist, so that the functions of the systems are overlapped, the waste of software and hardware resources is caused, and the waste of communication resources and database resources is increased due to excessive invalid information uploaded by a bottom system; secondly, the existing intelligent system of the factory has low fault-tolerant capability and complex links, and is particularly characterized in that data transmission and feedback links are long, information fusion can be realized only at a server end by a large amount of data of a bottom system, and the timeliness is poor; thirdly, the industrial field applied by the smart factory has many objects to be monitored and controlled, such as field signals, field scene (environment), production equipment, auxiliary facilities of workshop, process or finished products and semi-finished products produced, which are complex and complex, and the system is complex, the integration difficulty is high and the cost is high, so that the objects to be monitored and controlled in the industrial field are required to be monitored completely.
Disclosure of Invention
The invention aims to provide an intelligent system applied to an intelligent factory, an implementation method and application thereof, and aims to solve the technical problems that the system effective information ratio is low and intelligent decision is difficult to implement according to an optimal information transmission path and the most economic scheme in the prior art.
The technical scheme of the invention is as follows: an intelligent system applied to an intelligent factory comprises a measurement and control layer, an information fusion processing layer, a backbone network layer, a data application layer and an intelligent decision layer;
the measurement and control layer is connected with the information fusion processing layer through a local Internet of things;
the measurement and control layer is used for collecting and controlling an information source of an industrial field; the information source is an object which can be measured and controlled in an industrial field, and the measurement and control object is a field signal, a field scene, production equipment, a workshop, a process or a produced finished product and a semi-finished product;
the information fusion processing layer is used for carrying out information aggregation, fusion, filtration, conversion, distribution and pretreatment on the received collected data; the information fusion unit is communicated with the backbone network layer through an internet;
the information fusion processing layer comprises an intelligent control unit and a plurality of intelligent internet of things gateways;
the intelligent Internet of things gateway is used for fusing and processing the received data and comprises an Internet of things gateway and an Internet terminal;
the backbone network layer is used for integrating data and safely transmitting the data;
the data application layer is used for carrying out comprehensive analysis, processing, statistics and data display on data; the data application layer, the intelligent decision layer and the backbone network layer are connected through an Ethernet;
the intelligent decision layer is used for analyzing the received data and can also establish an intelligent decision model and automatically make and issue a factory operation instruction.
Furthermore, the information source of the measurement and control layer comprises non-emergency information and emergency information, wherein the non-emergency information is information which does not affect the production and environmental safety and does not need real-time transmission and real-time processing;
the emergency information refers to information affecting production and environmental safety, or information needing real-time transmission and processing.
Furthermore, the measurement and control layer comprises a sensor, an information converter and an actuator, and the non-emergency information and the emergency information are both produced by the measurement and control layer sensor and the information converter and are sent to the information fusion processing layer, or are produced by the information fusion processing layer and are sent to the actuator; the sensor is used for collecting information sources of an industrial field, and the actuator is used for managing and controlling the real-time work of industrial field equipment;
the sensor comprises a temperature sensor, a pressure sensor, a gas sensor, a displacement sensor, a flow sensor, a door opening and closing sensor, a CMOS image sensor and the like;
the information converter is used for converting the site heterogeneous meta-information and converting the heterogeneous meta-information into information which can be identified by the information fusion processing layer;
the sensor or the information converter is used for intelligently screening, marking and identifying characteristic data of the collected data.
Furthermore, the measurement and control layer further comprises an industrial robot unit, and the industrial robot unit is used for fusing all functions or part of functions of the measurement and control layer and the information fusion processing layer.
Furthermore, the intelligent control unit comprises an intelligent controller and an instrument, the intelligent controller comprises an intelligent algorithm, and the intelligent control unit is used for carrying out autonomous screening on data, intelligent identification on characteristic data and production control instructions.
Further, the information fusion processing layer further comprises a database, and the database is used for storing the issued information, instructions and industrial equipment information and providing big data information for the information fusion processing layer.
Further, the data application layer comprises a data supplement unit which is used for supplementing data except industrial field data to the data application layer.
The invention also provides an implementation method of the intelligent system applied to the intelligent factory, which comprises the following steps:
s1: a wireless measurement and control network is established in an industrial field through a measurement and control layer, and information acquisition and control are carried out on an industrial field measurement and control object through a sensor, an information converter or an actuator;
s2: an operator or an intelligent decision layer sets and configures parameters of a sensor and an information converter of a measurement and control layer on line through an information fusion processing layer so as to conveniently and automatically screen whether collected data is effective or not, the collected data is transmitted to the information fusion processing layer through a local Internet of things, a database provides big data information for the information fusion processing layer, the information fusion processing layer effectively fuses fragmented information collected by the measurement and control layer by taking a collection object as a core, and an optimal data transmission link is configured according to the database;
s3: the information fusion processing layer automatically judges whether the acquired data is effective or not for the second time: judging whether the data is invalid, and discarding or selectively retaining invalid data; if the data is valid, the valid data is uploaded to a data application layer through the Ethernet;
s4: performing comprehensive analysis, processing, statistics and data display on the effective data through a data application layer;
s5: performing data interaction on effective data through an intelligent decision layer, establishing a decision digital model capable of being automatically updated, automatically making and adjusting an operation instruction of an industrial field, and feeding back the operation instruction to a data application layer to execute the made operation instruction; the intelligent decision layer can make the operation rules of the information fusion processing layer and the measurement and control layer equipment, and can also make the operation rules of the sensors, the information converters or the actuators.
The invention also provides application of the intelligent system in acquisition of industrial field environment information sources, and the intelligent decision layer can perform data interaction with a plurality of intelligent Internet of things gateways through the Ethernet so as to realize application of data analysis, processing and decision.
The invention provides an intelligent system applied to an intelligent factory, an implementation method and application thereof through improvement, compared with the prior art, the intelligent system has the following improvement and advantages:
(1) the invention is provided with a measurement and control layer, an information fusion processing layer, a backbone network layer, a data application layer and an intelligent decision layer; the method adopts an architecture of Internet of things and Internet, takes information layering step-by-step processing as a core, achieves optimal data link planning configuration through an information fusion processing layer, realizes the layered management and the step-by-step processing of data, reduces the information interaction amount of a system, can screen whether information is effective or not under the action of the information fusion processing layer, abandons invalid information to release background resources, and also improves the effective information proportion of the system, thereby overcoming the problems of transmission delay, stability and reliability of wireless network transmission; the optimal data link planning configuration is achieved by redefining the functions of the measurement and control layer and the information fusion processing layer components, and information is effectively screened and marked at the source of information production, so that the information interaction amount and the processing amount of a system are reduced, and the system efficiency is improved; the method and the device solve the technical problems that the system effective information accounts for a relatively low ratio and intelligent decision making according to an optimal information transmission path and the most economic scheme is difficult to realize in the prior art.
(2) The invention provides an application of an intelligent system for collecting industrial field environment information sources, wherein a measurement and control layer is used for establishing a wireless measurement and control network in an industrial field to realize field data collection and control; the intelligent decision layer can perform data interaction with a plurality of intelligent Internet of things gateways through an Ethernet, and realize the application of data analysis, processing and decision; the sensor senses various information of an industrial field, such as pressure, temperature, material level, live-action images, door opening and closing states of equipment and the like of the industrial field, the information is transmitted to the information fusion processing layer in a normalized standard form through the Internet of things, the intelligent decision layer applies data processing and decision making, a decision making digital model capable of being automatically updated is established, the intelligent decision layer automatically makes and adjusts operation instructions of the industrial field according to collected objects, and operation rules of the information fusion processing layer and the measurement and control layer can be configured on line.
(3) The information fusion processing layer is used for carrying out information aggregation, fusion, filtration, conversion, distribution and pretreatment on received acquired data, the function of the information fusion processing layer is to take the acquired information as a core, aggregate and fuse data related to the acquired information, configure an optimal data transmission link according to the correlation logic of the data, and form an object-oriented closed loop system together with an information converter, various sensors and various actuators of the measurement and control layer; the information fusion processing layer can also automatically perform secondary judgment on whether the acquired data is effective: discarding invalid data or selecting to retain; and uploading the valid data to the data application layer through the Ethernet.
Drawings
The invention is further explained below with reference to the figures and examples:
FIG. 1 is a block diagram of a model of the present invention;
FIG. 2 is a diagram of a field model of the present invention;
FIG. 3 is a schematic diagram of the information fusion process using the device as the object according to the present invention;
FIG. 4 is a schematic diagram of the information fusion with a workshop as an object according to the present invention;
FIG. 5 is a schematic diagram of the process-based information fusion of the present invention;
FIG. 6 is a block diagram of the system of the present invention;
FIG. 7 is a flowchart illustrating a method for implementing an intelligent system according to the present invention.
Detailed Description
The present invention will be described in detail with reference to fig. 1 to 7, and the technical solutions in the embodiments of the present invention will be clearly and completely described, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides an intelligent system applied to an intelligent factory through improvement, as shown in fig. 1-7, the intelligent system applied to the intelligent factory comprises a measurement and control layer, an information fusion processing layer, a backbone network layer, a data application layer and an intelligent decision layer;
the measurement and control layer is connected with the information fusion processing layer through a local Internet of things;
the measurement and control layer is used for collecting and controlling an information source of an industrial field; the information source is an object which can be measured and controlled in an industrial field, and the measurement and control object is a field signal, a field scene, production equipment, a workshop, a process or a produced finished product and a semi-finished product; the measurement and control layer can receive various kinds of information of the measurement and control layer through the Internet of things, and transmits the information to the information fusion processing layer through the Internet of things in a normalized standard form, and an actuator of the measurement and control layer can execute instructions issued by the information fusion unit.
The information fusion processing layer is used for carrying out information aggregation, fusion, filtration, conversion, distribution and pretreatment on the received collected data; the information fusion unit is communicated with the backbone network layer through an internet; the information fusion processing layer has the functions of gathering and fusing data related to the acquired information by taking the acquired information as a core, configuring an optimal data transmission link according to the correlation logic of the data, and forming an object-oriented closed-loop system together with various sensors and actuators of the measurement and control layer; the information fusion processing layer can also realize the fusion of the Internet of things and the Internet.
The information fusion processing layer comprises an intelligent control unit and a plurality of intelligent internet of things gateways;
the intelligent Internet of things gateway is used for fusing and processing the received data and comprises an Internet of things gateway and an Internet terminal; and the acquired industrial field signal source information can enter a data application layer through the corresponding intelligent Internet of things gateway.
The backbone network layer is used for integrating data and safely transmitting the data; the Ethernet is used for connecting data interaction among a data application layer, an intelligent decision layer and an information fusion processing layer, and the Ethernet complies with general protocols of TCP/IP and UDP.
The data application layer is used for carrying out comprehensive analysis, processing, statistics and data display on data; the data application layer, the intelligent decision layer and the backbone network layer are connected through an Ethernet; the mobile terminal carries out comprehensive analysis, display, processing, statistics and information release on data uploaded by the information fusion processing layer and warehousing data, financial data, management data and the like generated by factory operation and management, executes a factory operation instruction released by the intelligent decision layer, and transmits the factory operation instruction to the information fusion processing layer through the Ethernet.
The intelligent decision layer is used for establishing an intelligent decision model for the received data and automatically making and issuing a factory operation instruction; the intelligent decision layer comprises a set intelligent algorithm, performs data interaction on effective data, establishes a decision digital model capable of being automatically updated, automatically makes and adjusts an operation instruction of an industrial field, and can configure terminal operation rules of the information fusion processing layer and the measurement and control layer on line; the intelligent decision layer can make the operation rules of the information fusion processing layer and the measurement and control layer equipment, and can also make the operation rules of the sensors, the information converters or the actuators.
Specifically, the information source of the measurement and control layer comprises non-emergency information and emergency information, wherein the non-emergency information is information which does not affect production and environmental safety and does not need real-time transmission and real-time processing;
the emergency information refers to information affecting production and environmental safety, or information needing real-time transmission and processing; the industrial field information is classified and collected according to the emergency degree, so that effective information can be conveniently screened, and the waste of communication resources and database resources is reduced.
Specifically, the measurement and control layer comprises a sensor, an information converter and an actuator, and the non-emergency information and the emergency information are both produced by the measurement and control layer sensor and the information converter and are sent to the information fusion processing layer, or are produced by the information fusion processing layer and are sent to the actuator; the sensor is used for collecting information sources of an industrial field, and the actuator is used for managing and controlling the real-time work of industrial field equipment; the sensor senses various information of an industrial field, such as pressure, temperature, material level, deformation, live-action images, door switch states of equipment and the like of the industrial field, adopts a wireless sensor, abandons the need of arranging a large number of power lines and communication lines in field construction and complex field debugging work, and brings great convenience to quick construction of constructors; an information converter is a signal conversion device.
The sensor comprises a temperature sensor, a pressure sensor, a gas sensor, a displacement sensor, a flow sensor, a door opening and closing sensor, a CMOS image sensor and the like; the system comprises a temperature sensor, a pressure sensor, a displacement sensor, a CMOS image sensor, a device state sensor, a gas sensor, a door opening and closing sensor, a door closing and opening sensor and a controller, wherein the temperature sensor is used for collecting the temperature of an industrial field, the pressure sensor is used for monitoring the pressure of the industrial field in real time, the displacement sensor is used for detecting the position of equipment on the industrial field, the CMOS image sensor is used for collecting the image of the industrial field equipment, the device state sensor is used for collecting the running state of the industrial field equipment, the gas sensor is used for monitoring the fire safety of the industrial; the sensors also include sensors that collect other information about the industrial environment.
The model of the door opening and closing sensor is OMRON TL-Q5MC1-Z, the model of the temperature sensor is AM2305, the model of the pressure sensor is film pressure sensor FSR406, the model of the displacement sensor is AS5304, the model of the CMOS image sensor is OV5658, the model of the gas sensor is CO/CF-1000, and the model of the flow sensor is cplde flow sensor.
The information converter is used for converting the site heterogeneous meta-information and converting the heterogeneous meta-information into information which can be identified by the information fusion processing layer;
the sensor or the information converter is used for intelligently screening, marking and identifying characteristic data of the collected data.
Specifically, the measurement and control layer further comprises an industrial robot unit, and the industrial robot unit is used for fusing all functions or part of functions of the measurement and control layer and the information fusion processing layer; an industrial robot cell is a machine device that can be implemented autonomously.
Specifically, the intelligent control unit comprises an intelligent controller and an instrument, the intelligent controller comprises an intelligent algorithm, and the intelligent control unit is used for carrying out autonomous screening on data, intelligent identification on characteristic data and a production control instruction; the intelligent internet of things gateway can intelligently identify the wireless intelligent device and support the current mainstream browser to configure the system, so that the technical threshold of field construction personnel is reduced, and the operation is simple and convenient; the worker can carry out on-line configuration to the intelligent control unit through the mobile terminal or the universal browser of the PC end, and the intelligent controller is used for controlling measurement and control of the raw material feeding amount, the on-off control, the rotating speed regulation and the like of the equipment related to the normal operation information of the equipment.
Specifically, the information fusion processing layer further comprises a database, and the database is used for storing issued information, instructions and industrial equipment information and providing big data information for the information fusion processing layer.
Specifically, the data application layer comprises a data supplement unit, and the data supplement unit is used for supplementing data except industrial field data to the data application layer; the data application layer is used for executing factory-level operation rules and guiding the formulation of the operation rules of the information fusion management layer, comprehensively analyzing, displaying, processing, counting and issuing information for data uploaded by the information fusion processing layer and warehousing data, financial data and management data generated by factory operation and management through various application software, transmitting processing results related to production to the information fusion processing layer through the backbone network layer, and guiding the execution and configuration of operation logic of the information fusion processing layer.
As shown in fig. 7, the present invention further provides an implementation method of an intelligent system applied to an intelligent factory, including:
s1: a wireless measurement and control network is established in an industrial field through a measurement and control layer, and information acquisition and control are carried out on an industrial field measurement and control object through a sensor, an information converter or an actuator;
s2: an operator or an intelligent decision layer sets and configures parameters of a sensor and an information converter of a measurement and control layer on line through an information fusion processing layer so as to conveniently and automatically screen whether collected data is effective or not, the collected data is transmitted to the information fusion processing layer through a local Internet of things, a database provides big data information for the information fusion processing layer, the information fusion processing layer effectively fuses fragmented information collected by the measurement and control layer by taking a collection object as a core, and an optimal data transmission link is configured according to the database;
s3: the information fusion processing layer automatically judges whether the acquired data is effective or not for the second time: judging whether the data is invalid, and discarding or selectively retaining invalid data; if the data is valid, the valid data is uploaded to a data application layer through the Ethernet;
s4: performing comprehensive analysis, processing, statistics and data display on the effective data through a data application layer;
s5: the method comprises the steps that data interaction is carried out on effective data through an intelligent decision layer, a decision digital model capable of being automatically updated is established, an operation instruction of an industrial field is automatically made and adjusted, and an information fusion processing layer and a measurement and control layer terminal operation rule can be configured on line; the intelligent decision layer can make the operation rules of the information fusion processing layer and the measurement and control layer equipment, and can also make the operation rules of the sensors, the information converters or the actuators.
As shown in fig. 2 to 5, the present invention further provides an application of the intelligent system in collecting industrial field environment information sources, wherein the intelligent decision layer can perform data interaction with a plurality of intelligent internet of things gateways through an ethernet network to implement data analysis, processing and decision making; the sensor senses various information of an industrial field, such as pressure, temperature, material level, live-action images, door opening and closing states of equipment and the like of the industrial field, transmits the information to the information fusion processing layer in a normalized standard form through the Internet of things, the intelligent decision layer applies data processing, decision making, establishes a decision making digital model capable of being automatically updated, automatically makes and adjusts operation instructions of the industrial field, and can configure operation rules of the information fusion processing layer and the measurement and control layer on line.
The invention adopts an architecture of Internet of things and Internet, takes information layering step-by-step processing as a core, achieves optimal data link planning configuration through an information fusion processing layer, realizes the layered management and the step-by-step processing of data, reduces the information interaction amount of a system, can screen whether information is effective or not under the action of the information fusion processing layer, abandons and selectively retains invalid information to release background resources, and improves the effective information occupation ratio of the system, thereby overcoming the problems of transmission delay, stability and reliability existing in wireless network transmission.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. The utility model provides a be applied to wisdom system of wisdom mill which characterized in that: the system comprises a measurement and control layer, an information fusion processing layer, a backbone network layer, a data application layer and an intelligent decision layer;
the measurement and control layer is connected with the information fusion processing layer through a local Internet of things;
the measurement and control layer is used for collecting and controlling an information source of an industrial field; the information source is an object which can be measured and controlled in an industrial field, and the measurement and control object is a field signal, a field scene, production equipment, a workshop, a process or a produced finished product and a semi-finished product;
the information fusion processing layer is used for carrying out information aggregation, fusion, filtration, conversion, distribution and pretreatment on the received collected data; the information fusion unit is communicated with the backbone network layer through an internet;
the information fusion processing layer comprises an intelligent control unit and a plurality of intelligent internet of things gateways;
the intelligent Internet of things gateway is used for fusing and processing the received data and comprises an Internet of things gateway and an Internet terminal;
the backbone network layer is used for integrating data and safely transmitting the data;
the data application layer is used for carrying out comprehensive analysis, processing, statistics and data display on data; the data application layer, the intelligent decision layer and the backbone network layer are connected through an Ethernet;
the intelligent decision layer is used for analyzing the received data and can also establish an intelligent decision model and automatically make and issue a factory operation instruction.
2. The intelligent system of claim 1, wherein: the information source of the measurement and control layer comprises non-emergency information and emergency information, wherein the non-emergency information is information which does not affect the production and environmental safety and does not need real-time transmission and real-time processing;
the emergency information refers to information affecting production and environmental safety, or information needing real-time transmission and processing.
3. The intelligent system of claim 2, wherein: the non-emergency information and the emergency information are both produced by the sensor and the information converter of the measurement and control layer and are sent to the information fusion processing layer, or are produced by the information fusion processing layer and are sent to the actuator; the sensor is used for collecting information sources of an industrial field, and the actuator is used for managing and controlling the real-time work of industrial field equipment;
the sensor comprises a temperature sensor, a pressure sensor, a gas sensor, a displacement sensor, a flow sensor, a door opening and closing sensor and a CMOS image sensor;
the information converter is used for converting the site heterogeneous meta-information and converting the heterogeneous meta-information into information which can be identified by the information fusion processing layer;
the sensor or the information converter is used for intelligently screening, marking and identifying characteristic data of the collected data.
4. The intelligent system of claim 3, wherein: the measurement and control layer further comprises an industrial robot unit, and the industrial robot unit is used for fusing all functions or part of functions of the measurement and control layer and the information fusion processing layer.
5. The intelligent system of claim 1, wherein: the intelligent control unit comprises an intelligent controller and an instrument, the intelligent controller comprises an intelligent algorithm, and the intelligent control unit is used for carrying out autonomous screening on data, intelligent identification on characteristic data and a production control instruction.
6. The intelligent system of claim 1, wherein: the information fusion processing layer also comprises a database, and the database is used for storing the issued information, instructions and industrial equipment information and providing big data information for the information fusion processing layer.
7. The intelligent system of claim 1, wherein: the data application layer comprises a data supplement unit which is used for supplementing data except industrial field data to the data application layer.
8. The method for implementing an intelligent system applied to an intelligent factory according to any one of claims 1-7, wherein: the realization method comprises the following steps:
s1: a wireless measurement and control network is established in an industrial field through a measurement and control layer, and information acquisition and control are carried out on an industrial field measurement and control object through a sensor, an information converter or an actuator;
s2: an operator or an intelligent decision layer sets and configures parameters of a sensor and an information converter of a measurement and control layer on line through an information fusion processing layer so as to conveniently and automatically screen whether collected data is effective or not, the collected data is transmitted to the information fusion processing layer through a local Internet of things, a database provides big data information for the information fusion processing layer, the information fusion processing layer effectively fuses fragmented information collected by the measurement and control layer by taking a collection object as a core, and an optimal data transmission link is configured according to the database;
s3: the information fusion processing layer automatically judges whether the acquired data is effective or not for the second time: judging whether the data is invalid, and discarding or selectively retaining invalid data; if the data is valid, the valid data is uploaded to a data application layer through the Ethernet;
s4: performing comprehensive analysis, processing, statistics and data display on the effective data through a data application layer;
s5: performing data interaction on effective data through an intelligent decision layer, establishing a decision digital model capable of being automatically updated, automatically making and adjusting an operation instruction of an industrial field, and feeding back the operation instruction to a data application layer to execute the made operation instruction; the intelligent decision layer can make the operation rules of the information fusion processing layer and the measurement and control layer equipment, and can also make the operation rules of the sensors, the information converters or the actuators.
9. Use of an intelligent system according to any one of claims 1-7 for collecting industrial field environmental information sources, wherein: the intelligent decision layer can perform data interaction with a plurality of intelligent Internet of things gateways through the Ethernet, and the application of data analysis, processing and decision is realized.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010463588.XA CN111665802A (en) | 2020-05-27 | 2020-05-27 | Intelligent system applied to intelligent factory, implementation method and application thereof |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010463588.XA CN111665802A (en) | 2020-05-27 | 2020-05-27 | Intelligent system applied to intelligent factory, implementation method and application thereof |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111665802A true CN111665802A (en) | 2020-09-15 |
Family
ID=72384936
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010463588.XA Withdrawn CN111665802A (en) | 2020-05-27 | 2020-05-27 | Intelligent system applied to intelligent factory, implementation method and application thereof |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111665802A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113110747A (en) * | 2021-05-10 | 2021-07-13 | 四川野马科技有限公司 | VR-fused data visualization system |
CN114422547A (en) * | 2021-12-29 | 2022-04-29 | 安徽斯瑞菱智能科技有限公司 | Intelligent system, use operation method and application of intelligent system in intelligent factory |
-
2020
- 2020-05-27 CN CN202010463588.XA patent/CN111665802A/en not_active Withdrawn
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113110747A (en) * | 2021-05-10 | 2021-07-13 | 四川野马科技有限公司 | VR-fused data visualization system |
CN114422547A (en) * | 2021-12-29 | 2022-04-29 | 安徽斯瑞菱智能科技有限公司 | Intelligent system, use operation method and application of intelligent system in intelligent factory |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20190219993A1 (en) | System and method for monitoring factory facilities using active black box | |
CN109358574B (en) | Intelligent data acquisition, monitoring and analysis system and method | |
TW202110150A (en) | Intelligent industrial IoT system using two-way channel neural network architecture capable of performing two-way many-to-many transmission without using gateways | |
CN208922110U (en) | The novel maintenance equipment framework of intelligent plant | |
US10925118B1 (en) | Intelligent Industrial Internet of Things system using two-way channel artificial neural network | |
CN110244665A (en) | A kind of paint line Remote Intelligent Management System for Storage | |
CN111665802A (en) | Intelligent system applied to intelligent factory, implementation method and application thereof | |
CN110633901A (en) | Intelligent substation relay protection device operation situation perception and remote maintenance system | |
CN103499963A (en) | Remote monitoring system and method for coke oven vehicle equipment | |
CN102819249A (en) | Linkage control system and control method for power tunnel | |
CN110989507A (en) | Automatic production digital twin workshop generation device that detects of circuit breaker | |
CN115022379B (en) | Ceramic production management system based on 5G cloud platform | |
CN106559501B (en) | Flat type industrial control method and system | |
Du et al. | IIoT-based intelligent control and management system for motorcycle endurance test | |
CN112099401A (en) | Building site monitoring control system based on thing networking | |
CN102043389A (en) | Multi-protocol data supervisory control system | |
CN214067660U (en) | Monitoring system based on Internet of things | |
CN115562217A (en) | Digital twin monitoring system, method and device | |
CN111509856A (en) | Intelligent inspection integrated platform system | |
CN105182894A (en) | Remote control system and method for heat energy equipment | |
CN114422547A (en) | Intelligent system, use operation method and application of intelligent system in intelligent factory | |
TWM591741U (en) | Intelligent industrial IoT system using bidirectional channel neural network architecture | |
CN118170099A (en) | Intelligent operation and maintenance system platform based on machine learning and industrial Internet of things | |
Wang et al. | Automated production line monitoring base on wireless mesh sensor network | |
CN111193662A (en) | Edge computing gateway based on visual identification |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WW01 | Invention patent application withdrawn after publication | ||
WW01 | Invention patent application withdrawn after publication |
Application publication date: 20200915 |