CN117478672A - Intelligent control system based on cloud platform technology - Google Patents
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- CN117478672A CN117478672A CN202311354232.2A CN202311354232A CN117478672A CN 117478672 A CN117478672 A CN 117478672A CN 202311354232 A CN202311354232 A CN 202311354232A CN 117478672 A CN117478672 A CN 117478672A
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Abstract
The application relates to the field of intelligent control and discloses an intelligent control system based on a cloud platform technology, which comprises a cloud platform foundation module; the access and acquisition module is used for accessing equipment and acquiring and transmitting data to the cloud platform; the processing and analyzing module is used for preprocessing and analyzing the acquired data; the decision and control module is used for training and optimizing the AI model and generating an execution decision; and the monitoring and feedback module is used for monitoring the state of the equipment and the system operation in real time and feeding back related information. According to the intelligent control system based on the cloud platform technology, the functions of equipment access, data acquisition and processing, decision control, real-time monitoring feedback, user management, safety privacy protection and the like can be realized through the cooperation of the modules in the system. By integrating these modules, the system provides powerful management and control capabilities to achieve intelligent and efficient system operation.
Description
Technical Field
The invention relates to the technical field of intelligent control, in particular to an intelligent control system based on a cloud platform technology.
Background
An intelligent control system is a system that utilizes advanced information technology and intelligent algorithms to achieve advanced control and automated management of devices, processes or systems. The system combines the technologies of sensors, actuators, data processing, decision algorithms and the like, can sense the environment, analyze data, make decisions and control the system to operate through the actuators.
However, the conventional system is limited by rules and fixed models, cannot adapt to complex environment and data changes, and lacks intelligent decision making and optimizing capabilities.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an intelligent control system based on a cloud platform technology, which solves the problems that the traditional system is limited by rules and fixed models, cannot adapt to complex environment and data changes and lacks intelligent decision making and optimizing capabilities.
In order to achieve the above purpose, the invention is realized by the following technical scheme: an intelligent control system based on cloud platform technology, comprising:
the cloud platform foundation module is used for managing computing, storing and network resources and supporting elasticity and distribution according to requirements;
the access and acquisition module is used for accessing equipment and acquiring and transmitting data to the cloud platform;
the processing and analyzing module is used for preprocessing and analyzing the acquired data;
the decision and control module is used for training and optimizing the AI model and generating an execution decision;
the monitoring and feedback module is used for monitoring the state of the equipment and the system operation in real time and feeding back related information;
the user management module is used for providing a user interaction interface and managing user rights;
and the safety privacy module is used for protecting the transmission safety of the data and the data privacy of the user.
Preferably, the cloud platform base module includes:
the resource management module is used for managing computing, storage and network resources and providing elasticity and capacity of distribution according to requirements;
a data management module for providing an extensible and reliable data storage and management mechanism;
and the cloud service interface module is used for providing the API and the SDK of the cloud platform by the upper module and supporting the functions of accessing and using the cloud platform service.
Preferably, the access and acquisition module comprises:
the device access module is used for providing an interface for communication between the device and the cloud platform and supporting different transmission protocols and device access authentication;
the data acquisition module is used for acquiring data from the equipment and transmitting the data to the cloud for subsequent processing and analysis.
Preferably, the processing and analyzing module comprises:
the preprocessing module is used for preprocessing the acquired data so as to improve the quality and consistency of the data;
and the analysis mining module is used for analyzing, pattern recognition and prediction of the data by applying big data analysis and machine learning algorithms and extracting valuable information and knowledge.
Preferably, the decision and control module comprises:
the model training optimization module is used for training and optimizing an AI model by using computing resources provided by the cloud platform and supporting intelligent decision and optimization;
and the decision generation execution module is used for generating a decision instruction based on the result of the AI model and transmitting the instruction to corresponding equipment for execution through the cloud platform.
Preferably, the monitoring and feedback module includes:
the real-time monitoring feedback module is used for monitoring the equipment state, the system running condition and the data flow and returning the equipment state, the abnormal alarm and the optimization suggestion information in real time;
the visual display module is used for presenting equipment states, analysis results and operation interfaces through a visual interface provided by the cloud platform and providing user-friendly interaction and information display.
Preferably, the user management module includes:
the user interaction module is used for providing a visual interface and an interaction mode, so that a user can operate equipment, view the system state and manage the equipment;
and the user authority module is used for managing user account numbers, authorities and roles, performing identity verification and access control, and ensuring system security and data privacy.
Preferably, the security privacy module includes:
the data encryption module is used for protecting the safety of the data in the transmission process and the storage process by using an encryption technology and preventing the data from being revealed and tampered;
and the privacy access module is used for protecting the privacy of the user data, setting access rights and data rights, and only allowing the authorized user to access the related data.
The invention provides an intelligent control method based on a cloud platform technology, which comprises the following steps:
a cloud platform infrastructure layer that manages cloud computing resources, storage resources, and network resources;
communicating with equipment through an equipment access interface and acquiring equipment data;
preprocessing, cleaning and standardizing the acquired equipment data on a cloud platform;
analyzing and mining the preprocessed data, and extracting valuable information and knowledge;
based on the analysis result, generating a decision instruction through the cloud platform and transmitting the decision instruction to corresponding equipment for execution;
monitoring equipment state, system running condition and data flow in real time, and feeding back equipment state, abnormal alarm and optimization suggestion in real time;
user interface and interaction interface provided by cloud platform, allowing user to operate device, view system state and manage device
Preferably, the analysis and mining is performed using big data analysis and machine learning algorithms.
The invention provides an intelligent control system based on a cloud platform technology. The beneficial effects are as follows:
1. according to the intelligent control system based on the cloud platform technology, the functions of equipment access, data acquisition and processing, decision control, real-time monitoring feedback, user management, safety privacy protection and the like can be realized through the cooperation of the modules in the system. By integrating these modules, the system provides powerful management and control capabilities to achieve intelligent and efficient system operation.
2. Through the AI technology, the system can learn and analyze a large amount of data, and quickly and accurately make decisions and optimize. The system can conduct intelligent prediction and optimization according to the real-time environment and historical data, and an efficient and accurate control strategy is achieved. The inventive linkage effect provides a higher level of intelligent decision making capability, enabling the intelligent control system to accommodate complex and diverse environments and requirements.
Drawings
FIG. 1 is a system architecture diagram of the present invention;
FIG. 2 is a schematic diagram of a basic module of the cloud platform according to the present invention;
FIG. 3 is a schematic diagram of an access and acquisition module of the present invention;
FIG. 4 is a schematic diagram of a process and analysis module of the present invention;
FIG. 5 is a schematic diagram of a decision and control module of the present invention;
FIG. 6 is a schematic diagram of a monitoring and feedback module of the present invention;
FIG. 7 is a schematic diagram of a subscriber management module according to the present invention;
FIG. 8 is a schematic diagram of a security privacy module of the present invention;
FIG. 9 is a schematic diagram of the method steps of the present invention.
10, a cloud platform base module; 11. a resource management module; 12. a data management module; 13. a cloud service interface module; 20. an access and acquisition module; 21. an equipment access module; 22. a data acquisition module; 30. a processing and analysis module; 31. a preprocessing module; 32. an analysis mining module; 40. a decision and control module; 41. model training optimization module; 42. a decision generation execution module; 50. a monitoring and feedback module; 51. a real-time monitoring feedback module; 52. a visual display module; 60. a user management module; 61. a user interaction module; 62. a user permission module; 70. a security privacy module; 71. a data encryption module; 72. and a privacy access module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples:
referring to fig. 1 to fig. 9, an embodiment of the present invention provides an intelligent control system based on a cloud platform technology, including:
the cloud platform base module 10 is used for managing computing, storing and network resources, and supporting elasticity and distribution as required;
in this embodiment, the module is responsible for managing computing, storage, and network resources to support the normal operation of the system. The method can automatically allocate and release the computing resources and dynamically adjust the resource allocation according to the system requirements. It also provides an extensible storage option to meet the data storage requirements of the system. In addition, the cloud platform base module 10 has a network management function, and can ensure stable and reliable network connection of the system.
The access and acquisition module 20 is used for accessing equipment and acquiring and transmitting data to the cloud platform;
in this embodiment, the access and acquisition module 20 is used for access to devices and acquisition of data. The system provides multiple access modes, and supports different types of equipment access, such as a sensor, intelligent equipment and the like. The module is responsible for authentication of the device and communicates with the device via a protocol or interface. Once the device is connected to the system, the access and acquisition module 20 collects the data generated by the device and transmits the data to the cloud platform for subsequent processing and analysis using a communication protocol.
A processing and analysis module 30 for preprocessing and analyzing the acquired data;
in this embodiment, the processing and analysis module 30 pre-processes and analyzes the acquired data. The preprocessing stage comprises operations of data cleaning, data conversion, data normalization and the like so as to improve the quality and consistency of data. The processing and analysis module 30 processes, models, and predicts data using various algorithms and techniques, such as statistical analysis, machine learning, deep learning, and the like. The analysis results can be used for system optimization, fault diagnosis, prediction maintenance and other applications.
A decision and control module 40 for training and optimizing the AI model and generating execution decisions;
in this embodiment, the decision and control module 40 is model trained using historical data, which can generate AI models for specific tasks. These AI models can generate corresponding control strategies or action suggestions based on real-time data input to optimize the operation of the system. The module is also capable of model tuning and updating to accommodate system changes and to continually improve performance.
The monitoring and feedback module 50 is used for monitoring the state of the equipment and the operation of the system in real time and feeding back related information;
in this embodiment, the monitoring and feedback module 50 monitors the device status and system operation in real time. The real-time data of the equipment can be collected, and the working state, performance index and abnormal condition of the equipment are monitored. Once an anomaly is found, the module triggers a corresponding alarm or notification to take timely action for fault diagnosis and handling. At the same time, the monitoring and feedback module 50 also provides real-time feedback to the administrator or user to let them know the system's behavior and help them make decisions.
A user management module 60 for providing a user interaction interface and managing user rights;
in this embodiment, the user management module 60 provides a user interaction interface and manages user rights. The user can interact with the system through the interface to view monitoring information, manage equipment, configure system parameters and the like. The user management module 60 is also responsible for managing the rights of different users, ensuring that only authorized users can access sensitive information and functions of the system. This helps to protect the security of the system and ensures a compliance security privacy module 70 of the system for protecting the transmission security of data and the data privacy of the user;
in this embodiment, the security privacy module 70 provides an encryption mechanism for data transmission, ensuring confidentiality and integrity of data during transmission. In addition, the security privacy module 70 employs authentication techniques to ensure that only authorized users can access and operate the system. For the privacy of the user's data, the module takes a series of measures to protect the user's personal data from unauthorized access and use.
In general, all modules in the system cooperate together, so that the intelligent control system based on the cloud platform technology can realize functions of equipment access, data acquisition and processing, decision control, real-time monitoring feedback, user management, safety privacy protection and the like. The system provides strong management and control capability by integrating the modules so as to realize intelligent and high-efficiency system operation;
on the other hand, through AI technology, the system can learn and analyze a large amount of data, and make decisions and optimizations quickly and accurately. The system can conduct intelligent prediction and optimization according to the real-time environment and historical data, and an efficient and accurate control strategy is achieved. The inventive linkage effect provides a higher level of intelligent decision making capability, enabling the intelligent control system to accommodate complex and diverse environments and requirements.
In one embodiment, the cloud platform base module 10 includes:
a resource management module 11 for managing computing, storage and network resources, providing flexibility and on-demand allocation capabilities;
in this embodiment, the resource management module 11 can automatically allocate and release resources according to the change of the system load, so as to realize the elasticity and the on-demand allocation. For example, during system load peaks, the resource management module 11 may automatically increase computing resources to cope with high loads; while at lower loads it can free up excess resources to save costs.
A data management module 12 for providing an extensible and reliable data storage and management mechanism;
in this embodiment, the data management module 12 is capable of handling large amounts of data and providing high reliability and data redundancy protection. The data management module 12 may use a distributed storage system to store and manage data, ensuring availability and persistence of the data. It also provides a data backup and recovery mechanism to prevent data loss or corruption.
The cloud service interface module 13 is used for providing an API and an SDK of the cloud platform by the upper module and supporting the functions of accessing and using the cloud platform service;
in this embodiment, the cloud service interface module 13 provides an API (application program interface) and an SDK (software development kit) of the cloud platform for the upper module, so that the upper module can access and use the service functions of the cloud platform. It acts as an intermediate layer between the upper module and the cloud platform, providing a simplified interface and tools so that the developer can more conveniently use the services of the cloud platform. Through the cloud service interface module 13, a developer may call various cloud services, such as a computing service, a storage service, a web service, etc., to meet the requirements of the system.
In one embodiment, the access and acquisition module 20 comprises:
the device access module 21 is configured to provide an interface for communication between the device and the cloud platform, and support different transmission protocols and device access authentication;
in this embodiment, the device access module 21 supports multiple transmission protocols, such as MQTT, HTTP, coAP, so as to adapt to the communication requirements of different devices. The device access module 21 also implements a device access authentication mechanism to ensure that only authorized devices can access the system. It authenticates by verifying the identity or key of the device to ensure the security and reliability of the communication.
The data acquisition module 22 is used for acquiring data from the equipment and transmitting the data to the cloud for subsequent processing and analysis;
in this embodiment, the data acquisition module 22 is tightly matched with the device access module 21, receives data sent by the device, and processes and collates the data to meet the requirements of subsequent processing and analysis. It can collect various types of data such as sensor data, monitoring data, log data, etc. Once the data acquisition is complete, it transmits the data to the cloud platform for subsequent modules to process and analyze.
In general, these two sub-modules work cooperatively to form the access and acquisition module 20, enabling the device to establish communication with the cloud platform and to transmit device data to the cloud. The device access module 21 provides a communication interface and an authentication mechanism to ensure that the device can communicate with the cloud platform safely and reliably. The data acquisition module 22 is responsible for acquiring device data and transmitting it to the cloud platform, providing a basis for subsequent data processing and analysis. The overall access and acquisition module 20 provides an intelligent control system with efficient device access and data acquisition capabilities.
In one embodiment, the processing and analysis module 30 includes:
a preprocessing module 31, configured to perform preprocessing operation on the collected data, so as to improve data quality and consistency;
in this embodiment, the preprocessing operation includes data cleaning, denoising, data conversion, data normalization, and the like. The data cleansing operation may remove outliers, process missing values, to ensure accuracy and integrity of the data. The denoising operation can filter noise interference and extract effective signals in data. The data conversion operation may format the data to accommodate subsequent processing and analysis requirements. The data normalization operation can scale the data to the same range, and eliminate scale differences among different data so as to ensure the consistency of the data.
An analysis mining module 32 for applying big data analysis and machine learning algorithms to analyze, pattern identify and predict data, extracting valuable information and knowledge;
in this embodiment, the analysis mining module 32 models and mines data using statistical analysis methods, machine learning algorithms, deep learning models, and other techniques. Through these algorithms and models, analysis mining module 32 may extract valuable information, hidden patterns, and association rules in the data. Such information and knowledge may be used in applications such as system optimization, fault diagnosis, predictive maintenance, etc. The analysis mining module 32 may continually improve the accuracy and reliability of analysis and prediction by training and optimizing algorithms and models.
In general, these two sub-modules work cooperatively to form the processing and analysis module 30, providing the ability to pre-process and in-depth analyze the acquired data. The preprocessing module 31 performs cleaning, denoising, conversion, normalization, and the like on the data to prepare the data for subsequent analysis. The analysis mining module 32 applies big data analysis and machine learning algorithms to conduct deep analysis, pattern recognition and prediction on the preprocessed data, extracting valuable information and knowledge therefrom. The overall processing and analysis module 30 provides data analysis and mining capabilities for the system and support for intelligent control decisions.
In one embodiment, the decision and control module 40 includes:
a model training optimization module 41 for training and optimizing AI models using computing resources provided by the cloud platform, and supporting intelligent decision and optimization;
in this embodiment, the model training optimization module 41 utilizes the powerful computing power of the cloud platform to process large-scale data sets and train complex machine learning models. Model training optimization module 41 uses the historical data as input to generate AI models for a particular task through training algorithms and optimization techniques. These AI models may include classification models, regression models, cluster models, neural network models, etc., depending on the particular application scenario. Model training optimization module 41 may also perform model evaluation and improvement to increase accuracy and robustness of the model
Decision generation execution module 42: generating a decision instruction based on the result of the AI model, and transmitting the instruction to corresponding equipment for execution through a cloud platform;
in this embodiment, the decision making execution module 42 inputs a wide variety of data into the model and generates corresponding decision instructions based on the output of the model. For example, based on the data analysis results, the decision making execution module 42 may generate instructions to control the device for automated control. It may also generate alarm notifications, trigger alarm devices or notify personnel. Through the cloud platform, the generated decision instruction can be transmitted to corresponding equipment in real time, and actual control operation is completed.
In general, these two sub-modules work cooperatively to form a decision and control module 40 that provides decision generation and execution capabilities for the intelligent control system. Model training optimization module 41 trains and optimizes AI models using the computing resources of the cloud platform to provide the basis for intelligent decisions. The decision generation execution module 42 generates a decision instruction based on the result of the AI model, and transmits the instruction to the corresponding device for execution through the cloud platform. The overall decision and control module 40 enables the intelligent control system to make automated decisions and control in real time, improving the efficiency and performance of the system.
In one embodiment, the monitoring and feedback module 50 includes:
the real-time monitoring feedback module 51 is used for monitoring the equipment state, the system running condition and the data flow and returning the equipment state, the abnormal alarm and the optimization suggestion information in real time;
in this embodiment, the real-time monitoring feedback module 51 acquires real-time data and status information of the device by connecting with the device access and acquisition module 20. The real-time monitoring feedback module 51 can monitor parameters such as the working state, temperature, pressure and the like of the equipment and perform abnormal alarm according to a set threshold value. It is also capable of analyzing the operational data of the devices and systems, providing optimization suggestions and performance evaluations. The monitoring module can also feed back the equipment state, the alarm information and the suggestion information to related personnel or other system modules in time through a message mechanism or a real-time stream processing technology provided by the cloud platform.
The visual display module 52 is configured to present, through a visual interface provided by the cloud platform, a device state, an analysis result, and an operation interface, and provide user-friendly interaction and information display;
in this embodiment, the visual display module 52 performs visual display on the information provided by the real-time monitoring feedback module 51, and provides visual charts, graphs and dashboards to display equipment states, performance indexes, alarm information and the like. The user can view the running state and data flow of the equipment in real time through the visual interface of the cloud platform, and monitor the state of the system. In addition, the visual display module 52 can also provide an operation interface, so that a user can perform operations such as equipment control, parameter adjustment and the like through the interface to realize interactive control and optimization.
In general, these two sub-modules work cooperatively to form the monitoring and feedback module 50, which provides the intelligent control system with the ability to monitor and feed back information in real time. The real-time monitoring feedback module 51 is responsible for monitoring the status of the equipment, data flow and system operation conditions, and timely returning the status of the equipment, abnormal alarm and optimization advice information. The visual display module 52 performs visual display on the information provided by the monitoring module, and provides a user-friendly interaction and information display interface. The overall monitoring and feedback module 50 provides real-time equipment condition monitoring, anomaly alerting, and optimization suggestions to the user, enhancing the visualization and operability of the system.
In one embodiment, the user management module 60 includes:
a user interaction module 61, configured to provide a visual interface and an interaction manner, so that a user can operate the device, view a system state and manage the device;
in this embodiment, the user interaction module 61 provides a user-friendly interface through the cloud platform, including a graphical interface, a control panel, and a data display, so as to meet the requirements of users. The user can perform operations such as equipment control, parameter adjustment, real-time data viewing, alarm condition setting and the like through the module. The user interaction module 61 provides an intuitive operation interface enabling a user to easily interact with the system and acquire desired information.
The user authority module 62 is used for managing user account numbers, authorities and roles, performing identity verification and access control, and ensuring system security and data privacy;
in this embodiment, the user rights module 62 is responsible for user authentication, ensuring that only authorized users can access the system. The method manages user account numbers, passwords and role information and performs login authentication. In addition, the user rights module 62 defines the user's access rights, controls the user's operating scope and accessible resources. It can set the authority level of different users to realize fine-grained access control. The user rights module 62 is also capable of recording a log of the user's operations for monitoring and auditing.
In general, these two sub-modules work cooperatively to form a user management module 60 that provides the intelligent control system with the ability to operate and manage rights for the user. The user interaction module 61 enables a user to conveniently operate the device, view the system state, and perform device management through a visual interface and an interaction manner. The user rights module 62 manages user account numbers, rights and roles, performs authentication and access control, and ensures security and data privacy of the system. The overall user management module 60 provides a good user experience and security for the system, ensures that only authorized users can legally operate the system, and protects the system and data security.
In one embodiment, the security privacy module 70 includes:
a data encryption module 71 for protecting security in a transmission process and a storage process of data using an encryption technique, preventing data leakage and tampering;
in this embodiment, the data encryption module 71 may encrypt the data so that it is difficult to be stolen or tampered with during transmission. The encryption method uses a cryptography algorithm to encrypt the data, so as to ensure confidentiality and integrity of the data in the transmission and storage processes. The encryption module is responsible for generating and managing keys and encrypting and decrypting data. Only authenticated users can obtain access keys to decrypt data for use in parallel. This effectively prevents unauthorized access and data leakage.
A privacy access module 72, configured to protect the privacy of user data, set access rights and data rights, and only allow authorized users to access related data;
in this embodiment, the privacy access module 72 may set the access right and the data right of the user, and control the access range and the operation right of the user to the data. It is based on authentication and access control policies, ensuring that only authorized users can access sensitive data. The privacy access module 72 may enable fine-grained data authorization, with access restrictions on data based on user roles and permission levels. Through the module, the user can only access the data with the authority, and cannot acquire the privacy information of other users.
In general, these two sub-modules work cooperatively to form the security privacy module 70, providing data protection and privacy protection capabilities for the intelligent control system. The data encryption module 71 protects security in the transmission process and the storage process of data using encryption technology, preventing data leakage and tampering. The privacy access module 72 manages access rights and data rights of the user, ensures that only authorized users can access the relevant data, and protects the privacy of the user data. The overall security privacy module 70 provides security protection for the system and data, ensuring data security and user privacy protection during system operation.
The embodiment of the invention provides an intelligent control method based on a cloud platform technology, which comprises the following steps:
s101, a cloud platform infrastructure layer for managing cloud computing resources, storage resources and network resources;
s102, communicating with equipment through an equipment access interface and acquiring equipment data;
s103, preprocessing, cleaning and standardizing the acquired equipment data on the cloud platform;
s104, analyzing and mining the preprocessed data by applying big data analysis and machine learning algorithm, and extracting valuable information and knowledge;
s105, generating a decision instruction through the cloud platform based on the analysis result, and transmitting the decision instruction to corresponding equipment for execution;
s106, monitoring the equipment state, the system running condition and the data flow in real time, and feeding back the equipment state, the abnormal alarm and the optimization suggestion in real time;
s107, allowing a user to operate the equipment, view the system state and manage the equipment through a user interface and an interaction interface provided by the cloud platform.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An intelligent control system based on cloud platform technology, which is characterized by comprising:
the cloud platform base module (10) is used for managing computing, storing and network resources and supporting elasticity and distribution according to requirements;
the access and acquisition module (20) is used for accessing equipment and acquiring and transmitting data to the cloud platform;
a processing and analysis module (30) for preprocessing and analyzing the acquired data;
a decision and control module (40) for training and optimizing the AI model and generating execution decisions;
the monitoring and feedback module (50) is used for monitoring the state of the equipment and the operation of the system in real time and feeding back related information;
a user management module (60) for providing a user interaction interface and managing user rights;
and the security privacy module (70) is used for protecting the transmission security of the data and the data privacy of the user.
2. The intelligent control system based on cloud platform technology according to claim 1, wherein the cloud platform base module (10) comprises:
a resource management module (11) for managing computing, storage and network resources, providing flexibility and on-demand allocation capabilities;
a data management module (12) for providing an extensible and reliable data storage and management mechanism;
and the cloud service interface module (13) is used for providing an API and an SDK of the cloud platform by the upper layer module and supporting the functions of accessing and using the cloud platform service.
3. The intelligent control system based on cloud platform technology according to claim 1, wherein the access and acquisition module (20) comprises:
the device access module (21) is used for providing an interface for communication between the device and the cloud platform and supporting different transmission protocols and device access authentication;
and the data acquisition module (22) is used for acquiring data from the equipment and transmitting the data to the cloud for subsequent processing and analysis.
4. The intelligent control system based on cloud platform technology according to claim 1, wherein the processing and analyzing module (30) comprises:
the preprocessing module (31) is used for preprocessing the acquired data so as to improve the quality and consistency of the data;
and the analysis mining module (32) is used for analyzing, pattern recognition and prediction of the data by applying big data analysis and machine learning algorithms and extracting valuable information and knowledge.
5. The intelligent control system based on cloud platform technology according to claim 1, wherein the decision and control module (40) comprises:
a model training optimization module (41) for training and optimizing AI models using computing resources provided by the cloud platform and supporting intelligent decision and optimization;
and the decision generation execution module (42) generates a decision instruction based on the result of the AI model and transmits the instruction to corresponding equipment for execution through the cloud platform.
6. The intelligent control system based on cloud platform technology according to claim 1, wherein the monitoring and feedback module (50) comprises:
the real-time monitoring feedback module (51) is used for monitoring the equipment state, the system running condition and the data flow and returning the equipment state, the abnormal alarm and the optimization suggestion information in real time;
and the visual display module (52) is used for presenting equipment states, analysis results and operation interfaces through a visual interface provided by the cloud platform and providing user-friendly interaction and information display.
7. The intelligent control system based on cloud platform technology according to claim 1, wherein the user management module (60) comprises:
a user interaction module (61) for providing a visual interface and an interaction mode, enabling a user to operate the device, view the system state and manage the device;
and the user authority module (62) is used for managing user account numbers, authorities and roles, performing identity verification and access control, and ensuring system security and data privacy.
8. The intelligent control system based on cloud platform technology according to claim 1, wherein the security privacy module (70) comprises:
a data encryption module (71) for protecting security in a transmission process and a storage process of data using an encryption technique, preventing data leakage and tampering;
and the privacy access module (72) is used for protecting the privacy of the user data, setting access rights and data rights and only allowing authorized users to access the related data.
9. An intelligent control method based on cloud platform technology, which is applied to the intelligent control system based on cloud platform technology as claimed in any one of claims 1-8, and is characterized by comprising the following steps:
a cloud platform infrastructure layer that manages cloud computing resources, storage resources, and network resources;
communicating with equipment through an equipment access interface and acquiring equipment data;
preprocessing, cleaning and standardizing the acquired equipment data on a cloud platform;
analyzing and mining the preprocessed data, and extracting valuable information and knowledge;
based on the analysis result, generating a decision instruction through the cloud platform and transmitting the decision instruction to corresponding equipment for execution;
monitoring equipment state, system running condition and data flow in real time, and feeding back equipment state, abnormal alarm and optimization suggestion in real time;
and allowing a user to operate the equipment, view the system state and manage the equipment through a user interface and an interaction interface provided by the cloud platform.
10. The intelligent control method based on cloud platform technology according to claim 9, wherein the analysis and mining are performed by applying big data analysis and machine learning algorithms.
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