CN111556032A - Industrial big data processing system based on artificial intelligence algorithm - Google Patents
Industrial big data processing system based on artificial intelligence algorithm Download PDFInfo
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Abstract
The invention discloses an industrial big data processing system based on an artificial intelligence algorithm, which belongs to the technical field of industrial data processing, can realize that the artificial intelligence algorithm is used as support, the information of industrial equipment is acquired under a line, useless information is eliminated after preprocessing, useful data information and simple integrated processing are carried out, a proper artificial intelligence algorithm is selected according to the data type for processing, then the processed data is uploaded to a cloud server after safety encryption, the strong computing capacity and the computing speed of the cloud server are utilized for carrying out data processing and analysis, decision support is provided for industrial production, the system is favorable for reasonably, scientifically and efficiently utilizing the industrial equipment for production and processing, the processing and analysis speed and the precision of the industrial data can be rapidly improved, a large amount of industrial data query and analysis can be realized, the existing industrial production mode can be effectively improved through the remote centralized processing at the back and the visual query at the front, the method develops the safe driving and the protective navigation for the intellectualization and the Internet of things of the industry.
Description
Technical Field
The invention relates to the technical field of industrial data processing, in particular to an industrial big data processing system based on an artificial intelligence algorithm.
Background
With the rapid development of modern industry, data is not generated in modern industrial production all the time. The implementation of the innovative strategies of the manufacturing industry of all countries, whether Germany 'industry 4.0', American 'industry Internet' or 'manufacturing in China', is based on the collection and analysis of industrial big data, and the application environment is built for the manufacturing system according to the data. In the process of producing and manufacturing products by industrial enterprises, information decision support can be provided through data acquisition, storage and analysis, and the method plays an important role in the production flow, product quality, production management control, research and development design, remote maintenance and the like of the products. Therefore, it is very valuable for the processing of industrial data.
Meanwhile, with the development of artificial intelligence, especially machine learning, the intelligent analysis of big data by combining industrial production data and machine learning is one of the mainstream ways of predictive maintenance of industrial equipment at present. The talent learning of the machine will push the next industrial revolution, as the talent of the intellectual and technical subject of artificial intelligence was published by the earners of the charm prize, the academy of sciences of the united states, and the academy of the national institute of technology, John e.hopcroft.
The current industrial data mainly depends on sensors on various devices to read and send relevant data, such as temperature, current, voltage and other basic data information. However, due to various actual problems such as huge data volume, wide distribution, complex structure, uneven value and the like, data needs to be normalized and cleaned before analysis, distributed storage is needed according to the actual data demand speed, meanwhile, only single statistical analysis is relied on, the requirements of modern intelligent industrial production lines cannot be met, and the partition conversion of services cannot be performed because the industrial process of factory production is complex and the warehousing time cannot reflect service increment. In the face of massive and complex industrial data, a common data processing party is low in statistical analysis speed and difficult to query and analyze a large amount of data.
Disclosure of Invention
1. Technical problem to be solved
Aiming at the problems in the prior art, the invention aims to provide an industrial big data processing system based on an artificial intelligence algorithm, which can realize that the artificial intelligence algorithm is used as a data processing support, the information of industrial equipment is acquired through a line, useless information is eliminated after preprocessing, useful data information and simple integrated processing are carried out, a proper artificial intelligence algorithm is selected according to the data type for processing, then the useful data information and the useless information are uploaded to a cloud server after safety encryption, the strong computing capacity and the computing speed of the cloud server are utilized for data processing and analysis, decision support is provided for industrial production, the industrial equipment is reasonably, scientifically and efficiently utilized for production and processing, the processing and analysis speed and the analysis precision of industrial data can be rapidly improved, a large amount of inquiry and analysis of industrial data can be realized, the existing industrial production mode can be effectively improved through rear remote centralized processing and front visual inquiry, the method develops the safe driving and the protective navigation for the intellectualization and the Internet of things of the industry.
2. Technical scheme
In order to solve the above problems, the present invention adopts the following technical solutions.
An industrial big data processing system based on artificial intelligence algorithm comprises a plurality of industrial devices and is characterized in that: contain a plurality of industrial sensor in the industrial equipment, industrial equipment is connected with the industrial computer, industrial computer and industrial sensor all are connected with preprocessing server, preprocessing server includes microprocessor, data memory and communication module, preprocessing server is connected with safe encryption module through communication module, safe encryption module is connected with cloud ware, cloud ware includes cloud algorithm module, cloud communication module, cloud storage module, cloud management module, cloud decision-making module and cloud public module, cloud public module is connected with industry information public cloud platform, cloud ware is connected with local intelligent monitoring platform and a plurality of control and removes the end, local intelligent monitoring platform is connected with local database, cloud ware and industry information public cloud platform all are connected with the customer end.
Furthermore, the local intelligent monitoring platform comprises a wireless transmission module and an operation command module, wherein the operation command module comprises control strategy configuration software, database configuration software and human-computer interface configuration software, and the control strategy configuration software module is used for controlling the editing and debugging of strategies and monitoring the logic execution process; the database configuration software module is used for establishing an equipment database and managing a real-time historical database; the human-computer interface configuration software module is used for configuration and monitoring of human-computer interface pictures, and is convenient for technicians to realize butt joint with the cloud server through the local intelligent monitoring platform, so that remote monitoring of field industrial equipment is realized.
Furthermore, the communication module can adopt a wireless or wired mode, and the wireless communication module adopts a 4G/5G communication module to provide support for various communication modes so as to meet the actual conditions of an industrial field.
Furthermore, the safety encryption module comprises a firewall, a gateway isolation device and a VPN encryption device, and the safety of data transmission and access is improved, so that the privacy of industrial data information can be effectively protected.
Furthermore, the cloud algorithm module comprises a supervised learning unit, an unsupervised learning unit, a semi-supervised learning unit and a reinforcement learning unit, various artificial intelligence algorithms are provided for selection, the most appropriate algorithm can be selected according to input data to obtain the best result, and the processing precision of industrial data is greatly improved.
Further, the supervised learning unit comprises an artificial neural network, Bayes, a decision tree and a linear classifier, the unsupervised learning unit comprises an artificial neural network, association rule learning, a hierarchical clustering algorithm, clustering analysis and anomaly detection, the semi-supervised learning unit comprises a model generation unit, low-density separation, a graph-based method and joint training, and the reinforcement learning unit comprises Q learning, state-action-reward-state-action, a strategy gradient algorithm, model-based reinforcement learning and time sequence difference learning.
Further, the monitoring mobile terminal comprises a data transmission unit, a data processing unit, a human-computer interaction unit, an alarm unit, a control unit, a data storage unit, a power supply unit and an authorization unit, technicians in front of the monitoring mobile terminal are equipped with the monitoring mobile terminal, on one hand, the technicians can check data online at any time, and can send an alarm to the technicians, the technicians can timely make corresponding actions to adjust the actions, on the other hand, the monitoring mobile terminal can be used as a temporary control terminal to temporarily control a single industrial device, and the technicians can conveniently carry out field allocation and maintenance.
Furthermore, the cloud decision module comprises an algorithm decision unit, a manual decision unit and a fusion decision unit, a plurality of decision modes are provided for industrial production to select, the algorithm decision unit can be selected under the condition of not deviating from a plan, the manual decision unit is used for pure expert group discussion to make decisions, the results of the algorithm decision unit are only used for reference, the fusion decision unit is combined with artificial intelligence and expert group discussion to form a most suitable processing scheme, and specific decisions are selected according to actual needs.
Furthermore, the client comprises a web client and a mobile client, the mobile client comprises but is not limited to a computer, a mobile phone and a tablet, various login ways are improved, technical personnel can conveniently operate and use the cloud server and the industrial information public cloud platform, the advantages of the internet are truly played, and intelligent remote control is realized.
3. Advantageous effects
Compared with the prior art, the invention has the advantages that:
(1) the scheme can realize the mode of collecting the information of the industrial equipment under the line based on the artificial intelligence algorithm as the data processing support, eliminate useless information after preprocessing, integrate useful data information and simple processing, select a proper artificial intelligence algorithm to process according to the data type, upload the processed data to the cloud server after safety encryption, process and analyze the data by utilizing the powerful computing capacity and the computing speed of the cloud server, provide decision support for industrial production, is favorable for reasonably, scientifically and efficiently utilizing the industrial equipment to process, can quickly improve the speed and the precision of industrial data processing and analysis, can realize a large amount of industrial data query and analysis, effectively improve the existing industrial production mode through the remote centralized processing at the rear and the visual query at the front, and is industrial intelligent, And (5) developing driving protection navigation through Internet of things.
(2) The local intelligent monitoring platform comprises a wireless transmission module and an operation command module, wherein the operation command module comprises control strategy configuration software, database configuration software and human-computer interface configuration software, and the control strategy configuration software module is used for controlling the editing and debugging of strategies and monitoring the logic execution process; the database configuration software module is used for establishing an equipment database and managing a real-time historical database; the human-computer interface configuration software module is used for configuration and monitoring of human-computer interface pictures, and is convenient for technicians to realize butt joint with the cloud server through the local intelligent monitoring platform, so that remote monitoring of field industrial equipment is realized.
(3) The communication module can adopt a wireless or wired mode, and the wireless communication module adopts a 4G/5G communication module to provide support for various communication modes so as to meet the actual conditions of industrial fields.
(4) The safety encryption module comprises a firewall, a gateway isolation device and a VPN encryption device, and improves the safety of data transmission and access, so that the privacy of industrial data information can be effectively protected.
(5) The cloud algorithm module comprises a supervised learning unit, an unsupervised learning unit, a semi-supervised learning unit and a reinforcement learning unit, provides various artificial intelligence algorithms for selection, and can select the most appropriate algorithm according to input data to obtain the best result, so that the processing precision of industrial data is greatly improved.
(6) The system comprises a supervised learning unit, a semi-supervised learning unit and a reinforcement learning unit, wherein the supervised learning unit comprises an artificial neural network, association rule learning, a hierarchical clustering algorithm, clustering analysis and anomaly detection, the semi-supervised learning unit comprises a model generation, low density separation, a graph-based method and joint training, and the reinforcement learning unit comprises Q learning, state-action-reward-state-action, a strategy gradient algorithm, model-based reinforcement learning and time sequence difference learning.
(7) The monitoring mobile terminal comprises a data transmission unit, a data processing unit, a human-computer interaction unit, an alarm unit, a control unit, a data storage unit, a power supply unit and an authorization unit, technicians in front are equipped with the monitoring mobile terminal, on one hand, the technicians can check data online at any time, and can send an alarm to the technicians, the technicians can timely make corresponding actions to adjust the actions, on the other hand, the monitoring mobile terminal can be used as a temporary control terminal to temporarily control a single industrial device, and the technicians can conveniently carry out field allocation and maintenance.
(8) The cloud decision module comprises an algorithm decision unit, a manual decision unit and a fusion decision unit, a plurality of decision modes are provided for industrial production to select, the algorithm decision unit is selected under the condition of not deviating from a plan, the manual decision unit is used for pure expert group discussion to make decisions, the results of the algorithm decision unit are only used for reference, the fusion decision unit is combined with artificial intelligence and expert group discussion to form a most suitable processing scheme, and specific decisions are selected according to actual needs.
(9) The client comprises a web client and a mobile client, the mobile client comprises but is not limited to a computer, a mobile phone and a tablet, various login ways are improved, technicians can conveniently operate and use the cloud server and the industrial information public cloud platform, the advantages of the internet are truly played, and intelligent remote control is achieved.
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FIG. 1 is a schematic diagram of the system of the present invention;
fig. 2 is a schematic diagram of a cloud server module according to the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention; it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and all other embodiments obtained by those skilled in the art without any inventive work are within the scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "sleeved/connected," "connected," and the like are to be construed broadly, e.g., "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1:
referring to fig. 1-2, an industrial big data processing system based on artificial intelligence algorithm comprises a plurality of industrial devices, wherein the industrial devices contain a plurality of industrial sensors, the industrial devices are connected with an industrial personal computer, the industrial personal computer and the industrial sensors are both connected with a preprocessing server, the preprocessing server comprises a microprocessor, a data memory and a communication module, the communication module can adopt a wireless or wired mode, the wireless communication module adopts a 4G/5G communication module to provide support of various communication modes so as to meet the actual conditions of an industrial field, the preprocessing server is connected with a security encryption module through the communication module, the security encryption module is connected with a cloud server, the cloud server comprises a cloud algorithm module, a cloud communication module, a cloud storage module, a cloud management module, a cloud decision module and a cloud public module, the cloud public module is connected with an industrial information public cloud platform, the system is used for disclosing industrial data information which can be disclosed by a part of enterprises to the society, information intersection with experts in the field and the same type of industries is facilitated, development is promoted together, the cloud server is connected with a local intelligent monitoring platform and a plurality of monitoring mobile terminals, the local intelligent monitoring platform is connected with a local database, the cloud server and the industrial information public cloud platform are both connected with clients, the clients comprise a web client and a mobile client, the mobile client comprises a computer, a mobile phone and a tablet, various login ways are improved, the cloud server and the industrial information public cloud platform can be operated and used conveniently by technicians, advantages of the Internet are played really, and intelligent remote control is achieved.
The local intelligent monitoring platform comprises a wireless transmission module and an operation command module, wherein the operation command module comprises control strategy configuration software, database configuration software and human-computer interface configuration software, and the control strategy configuration software module is used for controlling the editing and debugging of strategies and monitoring the logic execution process; the database configuration software module is used for establishing an equipment database and managing a real-time historical database; the human-computer interface configuration software module is used for configuration and monitoring of human-computer interface pictures, and is convenient for technicians to realize butt joint with the cloud server through the local intelligent monitoring platform, so that remote monitoring of field industrial equipment is realized.
The safety encryption module comprises a firewall, a gateway isolation device and a VPN encryption device, and improves the safety of data transmission and access, so that the privacy of industrial data information can be effectively protected.
The cloud algorithm module comprises a supervised learning unit, an unsupervised learning unit, a semi-supervised learning unit and a reinforcement learning unit, a plurality of artificial intelligence algorithms are provided for selection, the most suitable algorithm can be selected according to input data to obtain the best result, the processing precision of industrial data is greatly improved, the supervised learning unit comprises an artificial neural network, Bayes, a decision tree and a linear classifier, the unsupervised learning unit comprises an artificial neural network, association rule learning, a hierarchical clustering algorithm, clustering analysis and anomaly detection, the semi-supervised learning unit comprises a generation model, a low-density separation, a graph-based method and joint training, and the reinforcement learning unit comprises Q learning, state-action-reward-state-action, a strategy gradient algorithm, model-based reinforcement learning and time sequence difference learning.
The monitoring mobile terminal comprises a data transmission unit, a data processing unit, a human-computer interaction unit, an alarm unit, a control unit, a data storage unit, a power supply unit and an authorization unit, technicians in front are equipped with the monitoring mobile terminal, on one hand, the technicians can check data online at any time, and can send an alarm to the technicians, the technicians can timely make corresponding actions to adjust the actions, on the other hand, the monitoring mobile terminal can be used as a temporary control terminal to temporarily control a single industrial device, and the technicians can conveniently carry out field allocation and maintenance.
The cloud decision module comprises an algorithm decision unit, a manual decision unit and a fusion decision unit, a plurality of decision modes are provided for industrial production to select, the algorithm decision unit is selected under the condition of not deviating from a plan, the manual decision unit is used for pure expert group discussion to make decisions, the results of the algorithm decision unit are only used for reference, the fusion decision unit is combined with artificial intelligence and expert group discussion to form a most suitable processing scheme, and specific decisions are selected according to actual needs.
The invention can realize the mode of collecting the information of the industrial equipment under the line based on the artificial intelligence algorithm as the data processing support and eliminate the useless information after the preprocessing, useful data information and simple integration processing are processed, a proper artificial intelligence algorithm is selected according to the data type for processing, then uploading the encrypted data to a cloud server after security encryption, performing data processing and analysis by utilizing the strong computing capacity and the computing speed of the cloud server, and provides decision support for industrial production, is beneficial to reasonable, scientific and efficient production and processing by utilizing industrial equipment, can quickly improve the processing and analysis speed and precision of industrial data, can realize query and analysis of a large amount of industrial data, the existing industrial production mode is effectively improved through remote centralized processing at the rear and visual inquiry at the front, and the driving protection and navigation are developed for the intellectualization and the Internet of things of the industry.
The above are merely preferred embodiments of the present invention; the scope of the invention is not limited thereto. Any person skilled in the art should be able to cover the technical scope of the present invention by equivalent or modified solutions and modifications within the technical scope of the present invention.
Claims (9)
1. An industrial big data processing system based on artificial intelligence algorithm comprises a plurality of industrial devices and is characterized in that: contain a plurality of industrial sensor in the industrial equipment, industrial equipment is connected with the industrial computer, industrial computer and industrial sensor all are connected with preprocessing server, preprocessing server includes microprocessor, data memory and communication module, preprocessing server is connected with safe encryption module through communication module, safe encryption module is connected with cloud ware, cloud ware includes cloud algorithm module, cloud communication module, cloud storage module, cloud management module, cloud decision-making module and cloud public module, cloud public module is connected with industry information public cloud platform, cloud ware is connected with local intelligent monitoring platform and a plurality of control and removes the end, local intelligent monitoring platform is connected with local database, cloud ware and industry information public cloud platform all are connected with the customer end.
2. The industrial big data processing system based on the artificial intelligence algorithm, according to claim 1, is characterized in that: the local intelligent monitoring platform comprises a wireless transmission module and an operation command module, wherein the operation command module comprises control strategy configuration software, database configuration software and human-computer interface configuration software.
3. The industrial big data processing system based on the artificial intelligence algorithm, according to claim 1, is characterized in that: the communication module can adopt a wireless or wired mode, and the wireless communication module adopts a 4G/5G communication module.
4. The industrial big data processing system based on the artificial intelligence algorithm, according to claim 1, is characterized in that: the safety encryption module comprises a firewall, a gateway isolation device and a VPN encryption device.
5. The industrial big data processing system based on the artificial intelligence algorithm, according to claim 1, is characterized in that: the cloud algorithm module comprises a supervised learning unit, an unsupervised learning unit, a semi-supervised learning unit and a reinforcement learning unit.
6. The industrial big data processing system based on the artificial intelligence algorithm, according to claim 5, is characterized in that: the system comprises a supervised learning unit, a semi-supervised learning unit and a reinforcement learning unit, wherein the supervised learning unit comprises an artificial neural network, association rule learning, a hierarchical clustering algorithm, clustering analysis and anomaly detection, the semi-supervised learning unit comprises a generation model, low density separation, a graph-based method and joint training, and the reinforcement learning unit comprises Q learning, state-action-reward-state-action, a strategy gradient algorithm, model-based reinforcement learning and time sequence difference learning.
7. The industrial big data processing system based on the artificial intelligence algorithm, according to claim 1, is characterized in that: the monitoring mobile terminal comprises a data transmission unit, a data processing unit, a man-machine interaction unit, an alarm unit, a control unit, a data storage unit, a power supply unit and an authorization unit.
8. The industrial big data processing system based on the artificial intelligence algorithm, according to claim 1, is characterized in that: the cloud decision module comprises an algorithm decision unit, a manual decision unit and a fusion decision unit.
9. The industrial big data processing system based on the artificial intelligence algorithm, according to claim 1, is characterized in that: the client comprises a web client and a mobile client, and the mobile client comprises but is not limited to a computer, a mobile phone and a tablet.
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| CN202010288032.1A CN111556032A (en) | 2020-04-14 | 2020-04-14 | Industrial big data processing system based on artificial intelligence algorithm |
| PCT/CN2020/085138 WO2021208018A1 (en) | 2020-04-14 | 2020-04-16 | Artificial intelligence algorithm-based industrial big data processing system |
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103605342A (en) * | 2013-11-21 | 2014-02-26 | 福州大学 | Remote distributed control system and distributed control method based on Internet |
| CN108681288A (en) * | 2018-06-28 | 2018-10-19 | 上海电器科学研究所（集团）有限公司 | A kind of novel maintenance system based on cloud platform |
| CN109308563A (en) * | 2018-08-01 | 2019-02-05 | 南瑞集团有限公司 | A kind of modularization industrial service platform, working method and configuration method |
| WO2019028269A2 (en) * | 2017-08-02 | 2019-02-07 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for detection in an industrial internet of things data collection environment with large data sets |
| CN109327493A (en) * | 2017-08-01 | 2019-02-12 | 徐州天荣医疗通讯设备有限公司 | A kind of remote medical monitoring system based on cloud and monitoring method |
| CN110336703A (en) * | 2019-07-12 | 2019-10-15 | 河海大学常州校区 | Industrial big data based on edge calculations monitors system |
| CN110442089A (en) * | 2018-05-04 | 2019-11-12 | 汉仲坤（上海）控制系统有限公司 | A kind of electric operator network monitoring system for things based on cloud service platform |
| CN110597057A (en) * | 2019-08-22 | 2019-12-20 | 浙江工业大学 | Data processing system in industrial application scene |
| CN110733038A (en) * | 2019-09-30 | 2020-01-31 | 浙江工业大学 | Industrial robot remote monitoring and data processing system |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105893629A (en) * | 2016-05-25 | 2016-08-24 | 江苏斯因信息科技有限公司 | Energy monitoring system and software based on Internet of Things and cloud computing |
| CN107276816B (en) * | 2016-11-03 | 2019-06-25 | 厦门嵘拓物联科技有限公司 | A kind of long-range monitoring and fault diagnosis system and method for diagnosing faults based on cloud service |
| US10476902B2 (en) * | 2017-04-26 | 2019-11-12 | General Electric Company | Threat detection for a fleet of industrial assets |
-
2020
- 2020-04-14 CN CN202010288032.1A patent/CN111556032A/en active Pending
- 2020-04-16 WO PCT/CN2020/085138 patent/WO2021208018A1/en active Application Filing
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103605342A (en) * | 2013-11-21 | 2014-02-26 | 福州大学 | Remote distributed control system and distributed control method based on Internet |
| CN109327493A (en) * | 2017-08-01 | 2019-02-12 | 徐州天荣医疗通讯设备有限公司 | A kind of remote medical monitoring system based on cloud and monitoring method |
| WO2019028269A2 (en) * | 2017-08-02 | 2019-02-07 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for detection in an industrial internet of things data collection environment with large data sets |
| CN110442089A (en) * | 2018-05-04 | 2019-11-12 | 汉仲坤（上海）控制系统有限公司 | A kind of electric operator network monitoring system for things based on cloud service platform |
| CN108681288A (en) * | 2018-06-28 | 2018-10-19 | 上海电器科学研究所（集团）有限公司 | A kind of novel maintenance system based on cloud platform |
| CN109308563A (en) * | 2018-08-01 | 2019-02-05 | 南瑞集团有限公司 | A kind of modularization industrial service platform, working method and configuration method |
| CN110336703A (en) * | 2019-07-12 | 2019-10-15 | 河海大学常州校区 | Industrial big data based on edge calculations monitors system |
| CN110597057A (en) * | 2019-08-22 | 2019-12-20 | 浙江工业大学 | Data processing system in industrial application scene |
| CN110733038A (en) * | 2019-09-30 | 2020-01-31 | 浙江工业大学 | Industrial robot remote monitoring and data processing system |
Cited By (7)
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|---|---|---|---|---|
| CN112799367A (en) * | 2021-01-08 | 2021-05-14 | 莫毓昌 | Intelligent control system and method based on industrial internet cloud platform |
| CN112749309A (en) * | 2021-01-19 | 2021-05-04 | 上海茵罗智能科技有限公司 | AI intelligent robot data collection method |
| CN113255440A (en) * | 2021-04-13 | 2021-08-13 | 山东农业大学 | Crop leaf abnormity detection method and system based on machine learning |
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| CN116400627A (en) * | 2023-04-13 | 2023-07-07 | 深圳市丰源升科技有限公司 | Industrial remote control system and method based on 5G |
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