JP3224059U - IoT system for artificial intelligence industry - Google Patents

Abstract

An IoT system for the artificial intelligence industry that can stably perform synchronous immediate processing using a dual channel similar to a brain neural network model without a gateway is provided. An I / O module, a communication module, a recognition database, an exercise database, an edge computing module, and a first MQTT data module are connected to the recognition device and the exercise device. 16, a programmable logic controller 1, an MQTT broker 21, a big data module 22, a human cloud visualization database 23, and a human cloud operation management interface 24, a cloud server 2, a human cloud visualization interface program 31, A remote device 3 including a human cloud operation interface program 32 and a second MQTT data module 33, and a network between the three parties It is connected via a 0. [Selection] Figure 3

Description

  The present invention relates to an artificial intelligence industry IoT system, and more particularly to an integrated system of the artificial intelligence industry related to industry, industrial products and services, and to an artificial intelligence industry IoT system using a dual channel similar to a brain neural network model.

  The Fourth Industrial Revolution is also referred to as Industry 4.0, and is originally a high-tech strategic plan announced by the German government. It has superiority, secures the superiority of manufacturing-related factors, and enhances corporate competitiveness and profits. It is characterized by improving. Currently, Japanese company Industry 4.0 aims to realize “zero downtime”, while German Industry 4.0 aims to realize production flexibility from lot size 1 to “mass customization” at the same price. In Industry 4.0, IIoT is indispensable for evolving cyber physical systems and manufacturing processes through big data and analysis.

  Here, IIoT refers to the industrial (IoT), that is, the Internet of things applied to the industrial field. This IIoT is most utilized for big data and machine learning (ML) in machine-to-machine (M2M) communication, ensuring high efficiency and high reliability related to industrial operating conditions, robots, medical It includes facilities and software manufacturing processes, and is applied to the entire industrial field.

  IIoT supports decision making, views and specific actions for industrial and basic facilities with timely information from sensors and other sources, followed by the use of machines Automatically do things that cannot be handled by the Industrial Revolution. In addition, IIoT, which is used in a wider range of fields, plays a very important role in the use of the Internet ecosystem or environment, for example, to evolve cities into artificial intelligence cities or factories into artificial intelligence factories. Can do.

  Information technology (IT) and operation technology (OT) are linked to ITOT, which goes beyond the common interconnection between devices or device entities of general users. It was. OT refers to the network of operational processes and industrial control systems (ICS: Industrial Control System), Human Machine Interface (HMI), Supervisory Control And Data Acquisition (SCADA) system, Distributed control system (DCS) and programmable logic controller (PLC) are included.

  As shown in Fig. 1, in the traditional industrial IoT communication network mechanism 400 that is actually used, the sensor 401 includes an I / O gateway 402, a first IIOT gateway 403, and a traditional I / O module. 404 and the industrial communication gateway 405, the I / O gateway 402 and the first IIOT gateway 403 are connected to the edge computing server 409, the traditional I / O module 404 is connected to the PLC CPU module 407, The industrial communication gateway 405 is connected to a traditional communication module 406, the traditional communication module 406 to the PLC CPU module 407, the PLC CPU module 407 to the second IIOT gateway 408, and the second IIOT gateway 408 to The edge computing server 409, the edge computing server 409 to the edge gateway 410, and the edge gateway 410 to It is connected to the loud system 411.

  Looking at the above explanation, it seems that you can almost understand the mechanism 400 of the traditional industrial IoT communication network, but the edge gateway 410 becomes a problem, and the hardware manufacturing cost of the gateway is high. In addition, although not shown in the above description and drawings, network communication facilities that require communication connection due to the use of gateways have a high construction cost, and the construction cost becomes even higher due to repeated network wiring work. The construction period will be longer, the maintenance and management will be relatively difficult after the construction is completed, the associated high maintenance and labor costs and labor costs, and the use of gateways and network communication equipment will Consumption is large, operating costs are higher, and it is not environmentally friendly.

  The biggest problem is the use of gateways, which slows down the communication speed due to the decrease in the network packet transmission speed, restricts the direction of network packet transmission, is performed with single channel transmission of one-to-one communication, and the network packet transmission data Loss easily occurs and reliable immediate processing cannot be performed.

  In view of this, it is an object of the present invention to solve the above-described problems and provide an artificial intelligence industrial IoT system similar to a brain neural network model using dual channels.

  In order to solve the above problems and achieve the above object, the artificial intelligence industrial IoT system using a dual channel similar to the brain neural network model of the present invention, the artificial intelligence industrial IoT system (100) Connected to at least one recognition device (200) and at least one motion device (300), at least one programmable logic controller (1), at least one cloud server (2), and at least A remote device (3), and the programmable logic controller (1) includes at least one I / O module (11), at least one communication module (12), and a recognition database base. (13), an exercise database (14), an edge computing module (15), and a first MQTT data module (16), The I / O module (11) and the communication module (12) are respectively connected to the recognition device (200) and the exercise device (300) corresponding thereto, and the recognition database base (13) and the exercise database ( 14) are connected to the corresponding I / O module (11) and the communication module (12), respectively, and the edge computing module (15) is the recognition database base (13), the exercise database, respectively. The first MQTT data module (16) is connected to the edge computing module (15) and connected to the cloud server (2) through the network (10). (2) is connected to the programmable logic controller (1) through the network (10), and is connected to at least one MQTT broker (21) Data module (22), a human cloud visualization database (23), and a human cloud operation management interface (24), and the MQTT broker (21) is connected to the first MQTT data module through the network (10). (16), the big data module (22) and the MQTT broker (21) are connected, the human cloud visualization database (23) and the human cloud operation management interface (24) are respectively connected to the MQTT. Broker (21), connected to the big data module (22) and connected to the remote device (3) through a network (10), the remote device (3) is connected to the cloud server ( 2) connected to at least one human cloud visualization interface program (31), A man cloud operation interface program (32) and a second MQTT data module (33), wherein the human cloud visualization interface program (31) and the human cloud operation interface program (32) are respectively the second MQTT. Connected to the data module (33), the second MQTT data module (33) is connected to the MQTT broker (21) through the network (10), and through the MQTT broker (21) the human cloud visualization database ( 23) and the IoT system for artificial intelligence industry, which is connected to the human cloud operation management interface (24) at the same time.

  The edge computing module (15) further includes an edge computing program (151) and an edge computing database (152), and each of the edge computing programs (151) includes the recognition database base (13). ), The motion database (14), the edge computing database (152) is connected to the edge computing program (151) and the first MQTT data module (16), respectively, and the first MQTT data module ( 16) further comprises a first conversion program (161), a first MQTT database (162), a first subscription program (163), and a first issue program (164), wherein the first conversion program (161) is the edge computing database (152), and the first MQTT database (162) is the first conversion process. The first subscription program (163) is connected to the first MQTT database (162) and the MQTT broker (21), respectively, and the first issue program (164) is connected to the ram (161). Connected to the first MQTT database (162) and the MQTT broker (21), the big data module (22) further comprises a big data algorithm (221) and a big database (222), and the big data The algorithm (221) is connected to the MQTT broker (21) and the big database (222), and the big database (222) includes the human cloud visualization database (23) and the human cloud operation management interface (24), respectively. The second MQTT data module (33) is further connected to a second conversion program (331), a second MQTT database (332), and a second subscription program (333). The second conversion program (331) is connected to the human cloud visualization interface program (31) and the human cloud operation interface program (32), respectively. Two MQTT databases (332) are connected to the second conversion program (331), the second subscription program (333), and the second issue program (334), respectively. The second issue program (334) is further connected to the MQTT broker (21), and is connected to the MQTT broker (21).

  The cloud server (2) preferably further includes at least one of a machine learning module (25) and an artificial intelligence module (26) connected to the big data module (22).

  The machine learning module (25) further includes a machine learning analysis algorithm (251) and a machine learning database (252), and the machine learning analysis algorithm (251) is connected to the big database (222). The machine learning database (252) is connected to the machine learning analysis algorithm (251), the human cloud visualization database (23), and the human cloud operation management interface (24), respectively, and the artificial intelligence module (26) Is further provided with an artificial intelligence decision algorithm (261) and an artificial intelligence database (262), and the artificial intelligence decision algorithm (261) is connected to the big database (222), and the artificial intelligence database ( 262), respectively, the artificial intelligence decision-making algorithm (261), the human cloud visualization database (23), and Serial are preferably connected to the human crowding operation management interface (24).

  When the cloud server (2) includes the machine learning module (25) and the artificial intelligence module (26) at the same time, the artificial intelligence decision algorithm (261) further includes the machine learning database (252). It is preferable to be connected to the big database (222) through the machine learning analysis algorithm (251) connected. The communication protocol applied between the programmable logic controller (1), the cloud server (2), and the remote device (3) is preferably an MQTT communication protocol.

The remote device (3) is preferably artificial intelligence glasses.
The present invention has the following effects over the prior art.
1. The present invention uses a programmable logic controller, a cloud server and a remote device in combination to achieve a synergy between the cyber world and the physical world, effectively combining information technology, operation technology, and communication technology, and open data The platform will be combined to build an integrated system for the artificial intelligence industry, and the connection to the land and its data analysis and application will effectively advance toward the core goal of Industry 4.0 and become a traditional industrial IoT communication network mechanism On the other hand, there is no need for network communication equipment to support gateway hardware manufacturing and gateway hardware communication connection, and there is no repeated network wiring work, so construction costs are reduced to a certain extent and construction time is shortened. What can be done, and easy maintenance and management The maintenance and inspection fees and labor costs can be reduced. In addition, the power consumption is reduced, the operation costs are reduced, the environment is friendly, the speed of communication is increased, and dual channel many-to-many communication is achieved. An IoT system for the artificial intelligence industry, characterized by the fact that it is possible, highly reliable, and the most important point is that stable synchronous processing is performed stably.
2. The present invention makes use of the concept of the cranial nerve network, the recognition device which is an output device such as various sensors, relay, hydraulic cylinder, air cylinder, robot arm, electric motor, control valve automatic guided vehicle AGV, conveyor It can be connected to the exercise device which is a variety of output devices such as, ensuring sufficient data collection, effectively applying data, and solving problems that are not immediately fed back to the site. IoT system for artificial intelligence industry.

It is a simple structure diagram of a traditional industrial IoT communication network. It is a simple mechanism figure of this invention. 1 is an overall structure diagram of a first embodiment of the present invention. It is a mechanism figure in case 1st Embodiment of this invention is used for the data observation of a recognition device. FIG. 2 is a mechanism diagram when the first embodiment of the present invention is used for operation of an exercise device. FIG. 4 is an overall view of the mechanism of a second embodiment of the present invention. FIG. 6 is an overall view of the mechanism of a third embodiment of the present invention. It is a mechanism whole view of 4th Embodiment of this invention.

  The present invention will be described in more detail with reference to the drawings. The same components or parts in the drawings are denoted by the same reference numerals as much as possible, but not to confuse the gist of the present invention with respect to known functions or configurations thereof. Detailed description is omitted.

  The first embodiment shown in FIGS. 2 to 5 is an artificial intelligence industrial IoT system similar to a brain neural network model using dual channels, and the artificial intelligence industrial IoT system 100 is at least one recognition device. 200, at least one programmable logic controller 1 connected to at least one athletic device 300, at least one cloud server 2, and at least one remote device 3, the programmable logic controller 1 includes at least one I / O module 11, at least one communication module 12, recognition database base 13, motion database 14, one edge computing module 15, and first MQTT data module 16. The I / O module 11 and the communication module 12 are respectively Corresponding to the recognition device 200 and the exercise device 300, the recognition database base 13 and the exercise database 14 are connected to the corresponding I / O module 11 and the communication module 12, respectively. The edge computing module 15 is connected to the recognition database base 13 and the motion database 14, respectively, and the first MQTT data module 16 is connected to the edge computing module 15 and is connected to the cloud server 2 through the network 10. Although connected, the cloud server 2 is connected to the programmable logic controller 1 through the network 10, and includes at least one MQTT broker 21, a big data module 22, a human cloud visualization database 23, a human A cloud operation management interface 24, the MQTT broker 21 is connected to the first MQTT data module 16 through the network 10, the big data module 22 and the MQTT broker 21 are connected, and the human cloud The visualization database 23 and the human cloud operation management interface 24 are connected to the MQTT broker 21 and the big data module 22, respectively, and are connected to the remote device 3 through the network 10, and the remote device 3 is connected to the network 10 Connected to the cloud server 2 and comprising at least one human cloud visualization interface program 31, a human cloud operation interface program 32, and a second MQTT data module 33, The human cloud visualization interface program 31 and the human cloud operation interface program 32 are each connected to the second MQTT data module 33, and the second MQTT data module 33 is connected to the MQTT broker 21 through the network 10. The human cloud visualization database 23 and the human cloud operation management interface 24 are simultaneously connected through the MQTT broker 21.

  As described above, the artificial intelligence industrial IoT system 100 of the present invention comprising the programmable logic controller 1, the cloud server 2, and the remote device 3 is a traditional industrial IoT communication network as shown in FIG. For the mechanism 400, using a dual channel similar to the brain neural network model, replacing the gateway in the traditional industrial IoT communication network mechanism 400 on a millisecond scale, the programmable logic controller 1 at the same time By using it, the network communication equipment of the gateway becomes unnecessary and there is no repetition of network wiring work, so the overall construction cost can be reduced, the construction period can be shortened, the maintenance inspection fee and labor cost after that can be reduced, Simplification of equipment can reduce power consumption related to it, Properly made it.

  Applying programmable logic controller 1, network packet transmission speed is fast, communication speed is fast, network channel transmission direction is not limited, dual channel many-to-many communication is possible, network packet transmission data There is no loss, and reliable and immediate processing is performed.

  In the artificial intelligence industrial IoT system 100 of the present invention, virus infection to the system can be prevented, system construction costs are not required, work systems that do not require system maintenance, inspection and updating are unnecessary, and hardware construction costs are reduced. Unnecessary, no system construction cost, no software maintenance, no update, no need for graphics control software that can prevent system virus infection, no hardware construction cost, transmission speed and single channel There are four types of unnecessary features: a gateway that can improve communication, a machine room construction cost, a server construction cost, and a server construction that eliminates the need for IT maintenance and inspection. By integrating the cyber world and the physical world, integrating information technology, operation technology and communication technology, Possible to reliably achieve the core goals of the stream 4.0.

  Programmable logic controller 1 is used corresponding to the factory, its use, installation, maintenance and inspection are easily performed, failure rate is low, widely applied, IoT system 100 for artificial intelligence industry of the present invention is voluntarily Information can be collected, and there are no problems such as lack of information, information leakage, and inappropriate information.

  In the dual channel mechanism similar to the cranial nerve network, as shown in FIG. 4, the programmable logic controller 1 includes, for example, an I / O module 11 such as a digital input module, an analog input module, a temperature measurement module, and a power measurement module, and For example, using communication module 12, such as RS-232 communication module, RS-485 communication module, EtherNet communication module, CANOpen communication module, PROFIBUS communication module, RFID communication module, GPRS communication module, etc., for example pressure sensor, temperature / humidity sensor, temperature Big data acquired from recognition device 200 such as sensor, flow sensor, liquid level sensor, ultrasonic sensor, water immersion sensor, illuminance sensor, differential pressure sensor transmitter, acceleration sensor, displacement sensor, weight sensor, industrial camera, First recognize database Stored in the database 13, and quickly transmitted to the MQTT broker 21 in the cloud server 2 through the network 10 by the edge computing module 15 and the first MQTT data module 16, and by the big data module 22 and the human cloud visualization database 23. Although provided to perform data mining processing, the user using the remote device 3 obtains and processes data from the MQTT broker 21 via the network 10 in the second MQTT data module 33 and visualizes the human cloud. The interface program 31 immediately grasps the current situation even if it is far away, and for two-way communication, after grasping the current situation, the human cloud operation interface program 32 in the remote device 3 as shown in FIG. Via MQTT data module 33 The data is transmitted to the MQTT broker 21 and processed by the big data module 22 and the human cloud operation management interface 24 to be transmitted and processed to the first MQTT data module 16, but the data is transmitted by the edge computing module 15. I / O module 11 such as digital output module, analog output module, pulse output module, etc., and RS-232 communication module, RS-485 communication module, EtherNet communication module, CANOpen communication module, PROFIBUS communication Using a communication module 12, such as a module, RFID communication module, GPRS communication module, etc., to transmit to a motion device 300 such as a relay, hydraulic cylinder, air cylinder, robot arm, motor, control valve automatic guided vehicle AGV, conveyor Be provided At the entire process, except for the reaction and time to think of the user, carried out in a form close to immediate processing.

  When used, the communication module 12 supports industrial communication protocols such as RFID, GPRS, TCP / IP, CANOpen, CANBus, EtherCAT, EtherNet / IP, ModBus, ModBus TCP / IP, PROFINET, and PROFIBUS. Used.

 In the above description, the network 10 connecting the programmable logic controller 1, the cloud server 2, and the remote device 3 refers to an internetwork and can be implemented by wire and / or wireless.

  Embodiment 1 of the artificial intelligence industrial IoT system 100 of the present invention is applied to artificial intelligence buildings and includes building resources including power, lighting, air conditioning, fire fighting, access control, space, cabinet racks, information facilities, etc. Collect and manage information, optimize resource use, and improve building management functions.

  In the second embodiment of the artificial intelligence industrial IoT system 100 of the present invention, it is applied to the state diagnosis of the moder, and the programmable logic controller 1 is used to collect information of, for example, the vibration sensor recognition device 200, and the cloud server 2 Knowing important equipment and core parts, current operating conditions and conditions, and using remote device 3 to instantly display adverse factors for current operating conditions for early troubleshooting and monitoring Reduce the adverse factors for the operation of equipment, effectively extend the service life of parts, avoid the occurrence of occupational accidents, thoroughly implement the spirit of service life extension plan, due to unexpected major equipment failure It is possible to avoid the occurrence of expensive inspection and repair charges or loss of operation costs.

  In Embodiment 3 of the artificial intelligence industrial IoT system 100 of the present invention, it is applied to an artificial intelligence factory, and using a programmable logic controller 1, an air conditioning system, a power monitoring control system, a device control system, an access control system, a disaster prevention system Collect information on the recognition device 200, such as monitoring modules and environmental systems. Also, the cloud device 2 allows the user to immediately grasp the KPI of the immediate manufacturing process using the remote device 3 anytime and anywhere. At any given time, flash alarm sirens and notifications will be presented to the appropriate person to warn of any messages during operation, and anytime, anywhere simple virtual control will interact with the key process and maintain the site. Do early.

  As shown in FIG. 3, the edge computing module 15 includes an edge computing program 151 and an edge computing database 152. The edge computing program 151 includes the recognition database base 13, the exercise database, respectively. 14, the edge computing database 152 is connected to the edge computing program 151 and the first MQTT data module 16, respectively, the first MQTT data module 16 further includes a first conversion program 161, The MQTT database 162, a first subscription program 163, and a first issuance program 164, the first conversion program 161 to the edge computing database 152, and the first MQTT database 162 to the first conversion Program 161 The first subscription program 163 is connected to the first MQTT database 162 and the MQTT broker 21, respectively, and the first issue program 164 is connected to the first MQTT database 162 and the MQTT broker 21, respectively. The big data module 22 further includes a big data algorithm 221 and a big database 222. The big data algorithm 221 is connected to the MQTT broker 21 and the big database 222, and the big database 222 is Although connected to the human cloud visualization database 23 and the human cloud operation management interface 24, the second MQTT data module 33 further includes a second conversion program 331, a second MQTT database 332, and a second subscription program 333. And a second issue program 334 The second conversion program 331 is connected to the human cloud visualization interface program 31 and the human cloud operation interface program 32, respectively, and the second MQTT database 332 is respectively connected to the second conversion program 331 and the second subscription. Connected to the program 333 and the second issue program 334, the second subscription program 333 is further connected to the MQTT broker 21, and the second issue program 334 is further connected to the MQTT broker 21.

  The combination of the edge computing program 151 and the edge computing database 152 enables the edge computing module 15 to effectively process information and reduce the time delay due to uploading to the cloud and the cost of data transmission / storage. Therefore, the artificial intelligence industrial IoT system 100 according to the present invention is provided so as to realize a mechanism for high-speed transmission and low delay, and to ensure that the cloud server 2 operates effectively.

  MQTT data processing is performed by a combination of the first MQTT database 162 in the first conversion program 161 and the second MQTT database 332 in the second conversion program 331, and the first subscription program 163, the second subscription program 333, the first issue program 164 And the second issuance program 334, the first MQTT data module 16 and the second MQTT data module 33 perform normal subscriptions and issuances, light weight, high reliability and quick communication, the network bandwidth It can operate even if it is not wide.

  By combining the big data algorithm 221 and the big database 222, the big data module 22 functions to organize and analyze the big data collected from the programmable logic controller 1, and operates the IoT system 100 for the artificial intelligence industry of the present invention. It is provided to continuously improve the effect and reduce the occurrence of trouble.

  FIG. 6 shows a second embodiment of the present invention. The cloud server 2 further includes at least a machine learning module 25 connected to the big data module 22. The machine learning module 25 further includes a machine learning analysis algorithm 251 and a machine learning database 252. The machine learning analysis algorithm 251 is connected to the big database 222, and each of the machine learning database 252 is the machine learning database 252. The analysis algorithm 251 is connected to the human cloud visualization database 23 and the human cloud operation management interface 24.

  The big data collected from the programmable logic controller 1 by the application of the machine learning module 25 and the big data module 22 is used for the machine learning module 25, but the data analyzed by the machine learning analysis algorithm 251 is the machine learning database. An algorithm or a rule is created with complex functions or samples obtained from data stored in 252 and is provided to make predictions or reactions to the future from the data. The IoT system 100 operates smarter, automatically collects data, and the machine learning module 25 has a sufficient amount of data, and is provided not only to form but to function reliably.

  FIG. 7 shows a third embodiment of the present invention. The cloud server 2 further includes at least an artificial intelligence module 26 connected to the big data module 22. The artificial intelligence module 26 further includes an artificial intelligence decision-making algorithm 261 and an artificial intelligence database 262. The artificial intelligence decision-making algorithm 261 is connected to the big database 222, and the artificial intelligence database 262 is respectively It is connected to the artificial intelligence decision-making algorithm 261, the human cloud visualization database 23, and the human cloud operation management interface 24.

  The big data collected from the programmable logic controller 1 by the application of the artificial intelligence module 26 and the big data module 22 is used in the artificial intelligence module 26, and the analyzed data is stored in the artificial intelligence database 262, and the artificial intelligence intention The decision algorithm 261 has enough data and is designed to work well with the decision-making algorithm. The artificial intelligence industrial IoT system 100 of the present invention operates smarter, automatically collects data, and is a knowledge engineer. Without worrying about lack of knowledge engineering, the artificial intelligence module 26 is provided not only in the form of a superficial occurrence but also in a reliable function.

  FIG. 8 shows a fourth embodiment of the present invention. When the cloud server 2 includes the machine learning module 25 and the artificial intelligence module 26 at the same time, the artificial intelligence decision-making algorithm 261 is Further, it is connected to the machine learning database 252 and connected to the big database 222 through the machine learning analysis algorithm 251 connected thereto.

  The artificial intelligence industrial IoT system 100 of the present invention operates more efficiently and smartly by simultaneous use of the machine learning module 25 and the artificial intelligence module 26 and data collection of the programmable logic controller 1. The simultaneous operation of the intelligent module 26 supports various application ranges and expands the application range of the present invention.

  In the first to fourth embodiments of the present invention described above, the communication protocol applied among the programmable logic controller 1, the cloud server 2, and the remote device 3 is an MQTT communication protocol. MQTT communication protocol is applied to simplify message content, adapt to Internet devices with limited processor resources or network bandwidth, between programmable logic controller 1, cloud server 2, and remote device 3. The communication is performed smoothly.

  In the first to fourth embodiments of the present invention described above, the remote device 3 is artificial intelligence glasses, and the remote device 3 becomes easy to use due to the application of the artificial intelligence glasses, and is performed through a new communication exchange. There is no problem that it is difficult to use, and it is provided so that the virtual world of the screen screen can be integrated with the real world, and it can be used intuitively, so the difficulty of mastering the application of the present invention can be reduced most. It is an important point.

  The above embodiments are used to explain the structure, features, and effects of the present invention, and the scope of the claims for utility model registration of the present invention is not limited thereby. Even if various modifications and the same replacement are made without departing from the idea of the present invention, they are all included in the scope of the present invention.

1 Programmable Logic Controller 2 Cloud Server 3 Remote Device 10 Network 11 I / O Module 12 Communication Module 13 Recognition Database Base 14 Motion Database 15 Edge Computing Module 16 First MQTT Data Module 21 MQTT Broker 22 Big Data Module 23 Human Cloud Visualization Database 24 Human Cloud Operation Management Interface 25 Connected Machine Learning Module 26 Artificial Intelligence Module 31 Human Cloud Visualization Interface Program 32 Human Cloud Operation Interface Program 33 Second MQTT Data Module 100 Artificial Intelligence Industrial IoT System 151 Edge Computing Program 152 Edge Computing Wing day Database 161 First conversion program 162 First MQTT database 163 First subscription program 164 First issue program 200 Recognition device 221 Big data algorithm 222 Big database 251 Machine learning analysis algorithm 252 Machine learning database 261 Artificial intelligence decision algorithm 262 Artificial intelligence database 331 Second conversion program 332 Second MQTT database 333 Second subscription program 334 Second issue program 300 Exercise device 400 Mechanism of traditional industrial IoT communication network 401 Sensor 402 I / O gateway 403 First IIOT gateway 404 Traditional I / O module 405 Industrial communication gateway 406 Traditional communication module 407 PLC CPU module 408 Second IIOT gateway 409 Edge Computing server 410 Edge gateway 411 Cloud system

Claims (7)

An artificial intelligence industrial IoT system using a dual channel similar to a cranial nerve network model, wherein the artificial intelligence industrial IoT system (100) includes at least one recognition device (200) and at least one exercise device (300) and
Comprising at least one programmable logic controller (1), at least one cloud server (2), and at least one remote device (3),
The programmable logic controller (1) includes at least one I / O module (11), at least one communication module (12), a recognition database base (13), a motion database (14), and an edge computer. And the first MQTT data module (16), the I / O module (11) and the communication module (12) are each the recognition device (200) corresponding thereto, Connected to the exercise device (300), the recognition database base (13) and the exercise database (14) are respectively connected to the corresponding I / O module (11), the communication module (12), The edge computing module (15) is connected to the recognition database base (13) and the motion database (14), respectively, and the first MQTT data module (16) is connected to the edge database. Connected to the computing server (15), connected to the cloud server (2) through the network (10),
The cloud server (2) is connected to the programmable logic controller (1) through a network (10), and includes at least one MQTT broker (21), a big data module (22), and a human cloud visualization database (23 ) And a human cloud operation management interface (24), the MQTT broker (21) is connected to the first MQTT data module (16) through the network (10), and the big data module (22 ) And the MQTT broker (21), and the human cloud visualization database (23) and the human cloud operation management interface (24) are respectively connected to the MQTT broker (21) and the big data module (22). Connected, connected to the remote device (3) through the network (10),
The remote device (3) is connected to the cloud server (2) through a network (10), and includes at least one human cloud visualization interface program (31), a human cloud operation interface program (32), and a second MQTT. A data module (33), wherein the human cloud visualization interface program (31) and the human cloud operation interface program (32) are connected to the second MQTT data module (33), respectively, and the second MQTT The data module (33) is connected to the MQTT broker (21) through the network (10), and through the MQTT broker (21) to the human cloud visualization database (23) and the human cloud operation management interface (24). It is characterized by being connected at the same time Artificial intelligence industrial IoT system. The edge computing module (15) further includes an edge computing program (151) and an edge computing database (152), and each of the edge computing programs (151) includes the recognition database base (13). ), The motion database (14), the edge computing database (152) is connected to the edge computing program (151) and the first MQTT data module (16), respectively.
The first MQTT data module (16) further includes a first conversion program (161), a first MQTT database (162), a first subscription program (163), and a first issue program (164). The first conversion program (161) is connected to the edge computing database (152), the first MQTT database (162) is connected to the first conversion program (161), and the first subscription program (163) Are connected to the first MQTT database (162) and the MQTT broker (21), respectively, and the first issue program (164) is connected to the first MQTT database (162) and the MQTT broker (21), respectively. And
The big data module (22) further includes a big data algorithm (221) and a big database (222), and the big data algorithm (221) includes the MQTT broker (21) and the big database (222). The big database (222) is connected to the human cloud visualization database (23) and the human cloud operation management interface (24), respectively.
The second MQTT data module (33) further comprises a second conversion program (331), a second MQTT database (332), a second subscription program (333), and a second issue program (334). The second conversion program (331) is connected to the human cloud visualization interface program (31) and the human cloud operation interface program (32), respectively, and the second MQTT database (332) is Connected to the conversion program (331), the second subscription program (333), and the second issue program (334), the second subscription program (333) is further connected to the MQTT broker (21), and The IoT system for artificial intelligence industry according to claim 1, wherein the second issue program (334) is further connected to the MQTT broker (21).   The cloud server (2) further comprises at least one of a machine learning module (25) and an artificial intelligence module (26) connected to the big data module (22). The IoT system for artificial intelligence industry according to claim 2. The machine learning module (25) further includes a machine learning analysis algorithm (251) and a machine learning database (252), and the machine learning analysis algorithm (251) is connected to the big database (222). The machine learning database (252) is connected to the machine learning analysis algorithm (251), the human cloud visualization database (23), and the human cloud operation management interface (24), respectively.
The artificial intelligence module (26) further comprises an artificial intelligence decision algorithm (261) and an artificial intelligence database (262), and the artificial intelligence decision algorithm (261) is connected to the big database (222). The artificial intelligence database (262) is connected to the artificial intelligence decision-making algorithm (261), the human cloud visualization database (23), and the human cloud operation management interface (24), respectively. The IoT system for artificial intelligence industry according to claim 3.   When the cloud server (2) includes the machine learning module (25) and the artificial intelligence module (26) at the same time, the artificial intelligence decision algorithm (261) further includes the machine learning database (252). 5. The artificial intelligence industrial IoT system according to claim 4, wherein the artificial intelligence industrial IoT system is connected to the big database (222) through the machine learning analysis algorithm (251) connected thereto.   The communication protocol applied between the programmable logic controller (1), the cloud server (2), and the remote device (3) is an MQTT communication protocol according to claim 5, IoT system for artificial intelligence industry.   7. The artificial intelligence industrial IoT system according to claim 6, wherein the remote device (3) is artificial intelligence glasses.

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