CN117078227A - Environment monitoring operation and maintenance platform based on identification analysis - Google Patents
Environment monitoring operation and maintenance platform based on identification analysis Download PDFInfo
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Abstract
The invention relates to the technical field of environment monitoring operation and maintenance and discloses an environment monitoring operation and maintenance platform based on identification analysis, which comprises an identification analysis module, a data acquisition and processing module, an analysis and decision module and an operation and maintenance optimization module. When the environment monitoring operation and maintenance platform based on identification analysis is used, the platform accurately detects and identifies faults in an environment monitoring system through the fault diagnosis and removal unit, and provides a corresponding solution, so that operation and maintenance personnel can quickly locate and solve the problems, the system downtime is reduced, and the system reliability is improved.
Description
Technical Field
The invention relates to the technical field of environment monitoring operation and maintenance, in particular to an environment monitoring operation and maintenance platform based on identification analysis.
Background
With the rapid development of information technology, environmental monitoring and operation and maintenance become a vital ring in many industries, traditional environmental monitoring and operation and maintenance often depend on manual operation and data acquisition, and the problems of low working efficiency, inaccurate data and poor real-time performance exist, in order to solve the problems, the efficiency and the accuracy of environmental monitoring and operation and maintenance are improved, the technology of an environmental monitoring operation and maintenance platform based on identification analysis is provided, and the environmental monitoring operation and maintenance platform in the prior art generally has the following defects:
(1) Inaccurate data acquisition: in the traditional environment monitoring and operation and maintenance process, data acquisition mainly depends on manual recording and equipment sensor data, however, errors are easy to occur in manual operation, and the accuracy of the equipment sensor data is limited, so that certain deviation and inaccuracy exist in the acquired data;
(2) Lack of real-time: the traditional environment monitoring and operation and maintenance means generally have the characteristic of higher delay, and cannot acquire environment data and operation and maintenance information in real time, so that the timely sensing and processing capacity of operation and maintenance personnel on the environment state is limited, and the accumulation and risk of environmental problems are increased;
(3) The operation and maintenance flow is complex: the traditional environment monitoring and operation and maintenance flow needs more links of manual participation, including data acquisition, information arrangement and problem processing, and the complicated manual operation not only wastes time and human resources, but also is easy to miss or error.
Therefore, it is necessary to design an environment monitoring operation and maintenance platform based on identification resolution to solve the above problems.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides an environment monitoring operation and maintenance platform based on identification analysis.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
an environment monitoring operation and maintenance platform based on identification analysis comprises the following modules:
the identification analysis module: and analyzing and marking equipment and facility identifiers in the environment by adopting an intelligent identifier identification technology. Accurately identifying each identifier in the environment by means of image identification and sensor data, and establishing association relation between the identifier and equipment, position and attribute;
and the data acquisition and processing module is used for: and the integrated sensor and equipment hardware facilities are matched with the identification analysis module to realize real-time acquisition and processing of environmental data. The acquired data is subjected to pretreatment, cleaning and finishing steps, so that the quality and accuracy of the data are ensured;
analysis and decision module: and analyzing and mining the collected environmental data by utilizing big data analysis and machine learning technologies, and extracting valuable information and trends. Based on the analysis result, providing operation and maintenance decision suggestions and early warning prompts, helping operation and maintenance personnel to discover environmental problems in time and make corresponding treatment;
and the operation and maintenance optimization module is used for: and providing operation and maintenance optimization suggestions and schemes by combining the environmental data analysis results. Through an automatic and intelligent mode, the operation and maintenance flow is optimized, manual operation and human errors are reduced, and operation and maintenance efficiency and asset utilization rate are improved.
As a preferred technical solution of the present invention, the identification resolution module includes the following units:
an image recognition unit: the unit processes and analyzes the image in the environment by using a computer vision technology to identify the identification object therein, and determines the position and type of the identification by using a target detection, feature extraction and classification technology;
a data association unit: the data association unit cooperates with the image recognition unit to associate the recognized identification object with corresponding equipment, position and attribute, and matches and links the image recognition result with a database or an equipment list which is established previously so as to ensure that the association between the identification and the related information is established correctly;
an environment sensing unit: the environment sensing unit acquires data related to the environment state through a sensor network or other environment monitoring equipment, and collects temperature, humidity, gas concentration and noise level data to provide comprehensive environment monitoring;
a data processing unit: the data processing unit is responsible for processing and analyzing the original data obtained from the environment sensing unit, and performing data cleaning, anomaly detection and data aggregation operations so as to ensure the accuracy and usability of the data;
an identification relationship management unit: the identifier relation management unit is responsible for establishing and managing the relation among the identifiers, the devices, the positions and the attributes, maintains a database of the identifiers, and provides functions of adding, deleting and updating the identifiers so as to facilitate subsequent identifier analysis and query operations.
As a preferred technical solution of the present invention, the data acquisition and processing module includes the following units:
sensor unit: the sensor unit is responsible for collecting various data required by environmental monitoring and comprises a plurality of sensor devices for measuring and monitoring different physical quantities, and the sensor unit converts the collected data into digital signals or analog signals for subsequent processing;
a data acquisition unit: the data acquisition unit is responsible for receiving the data sent by the sensor unit and acquiring and storing the data, and comprises a digital converter, a signal processor and a storage device assembly, wherein the digital converter, the signal processor and the storage device assembly are used for converting the sensor data into a digital form and storing the sensor data in a local or cloud database for subsequent processing and analysis;
a data transmission unit: the data transmission unit is responsible for transmitting the acquired data from the data acquisition unit to the data processing unit or other systems, and transmitting the data to a designated target position through a wired or wireless communication mode so as to ensure the timely availability of the data;
a data processing unit: the data processing unit receives the data sent by the data transmission unit and performs various processing and analysis operations, and the data processing unit comprises data cleaning, filtering, anomaly detection, data aggregation and statistical analysis functions so as to extract useful information and generate corresponding operation and maintenance reports and data visualization results;
a data storage unit: the data storage unit is responsible for long-term storage of the processed data, is a local database system or cloud storage service and is used for storing and managing a large amount of monitoring data, and the data storage unit also provides functions of data backup and recovery so as to ensure the safety and reliability of the data.
As a preferred embodiment of the present invention, the analysis and decision module includes the following units:
a data preprocessing unit: the data preprocessing unit is responsible for carrying out preliminary processing and cleaning on the collected environment monitoring data, and comprises the operations of data cleaning, noise removal, data deviation correction and missing data processing;
a data analysis unit: the data analysis unit is used for carrying out various analyses and mining on the preprocessed data, and comprises statistical analysis, time sequence analysis, regression analysis, data mining, machine learning technology and algorithm, and the data analysis unit is used for searching modes, trends and relativity in the data, finding useful information and insights hidden in the data and providing support for subsequent decisions;
the prediction and early warning unit: the prediction and early warning unit predicts the environmental state and detects the abnormality based on the data analysis result, it predicts the future environmental trend by using the history data and model, and detects the abnormality and early warning according to the threshold value set, the function of the unit is to help the operation and maintenance personnel find the potential problem and risk in time, and take the corresponding measure to intervene and adjust;
decision support unit: the decision support unit provides advice and support for operation and maintenance decisions based on analysis and prediction results, generates operation and maintenance reports, visual charts and indexes according to the data analysis results, helps operation and maintenance personnel to comprehensively know environmental conditions and make reasonable decisions, and the unit is used for providing real-time operation and maintenance information and decision support so as to optimize the effects of environment monitoring and operation and maintenance management.
As a preferred technical solution of the present invention, the operation and maintenance optimization module includes the following units:
fault diagnosis and removal unit: the fault diagnosis and elimination unit is responsible for detecting and identifying faults in the environment monitoring system and providing corresponding elimination strategies and suggestions, and the fault diagnosis and elimination unit assists operation and maintenance personnel to rapidly locate and solve problems by analyzing abnormal data, equipment states and sensor fault information, so that the system downtime is reduced, and the reliability and stability of the system are improved;
preventive maintenance unit: the preventive maintenance unit performs preventive maintenance planning and management on the environment monitoring equipment based on the historical data and equipment states, analyzes equipment operation conditions, fault modes and maintenance histories, predicts service life and maintenance period of the equipment, and generates corresponding maintenance plans and reminders;
an energy efficiency optimizing unit: the energy efficiency optimizing unit is focused on optimizing energy conservation and resource utilization, monitors energy consumption and efficiency of the environment monitoring equipment, and provides an energy conservation proposal and an optimizing scheme according to equipment load, working mode and environmental condition factors;
an automated scheduling unit: the automatic scheduling unit is used for automatically managing and scheduling the work and operation of the environment monitoring equipment, and automatically adjusts the operation mode, the sampling frequency and the sensor layout parameters of the equipment according to the data acquired in real time and the operation and maintenance requirements so as to adapt to different environment conditions and monitoring tasks.
The invention has the following beneficial effects:
1. fault rapid diagnosis and removal: through the fault diagnosis and elimination unit, the platform accurately detects and identifies faults in the environment monitoring system, and provides a corresponding solution, so that operation and maintenance personnel can quickly locate and solve the problems, the system downtime is reduced, and the system reliability is improved;
2. preventive maintenance and equipment life extension: the preventive maintenance unit is capable of planning and managing preventive maintenance of the environmental monitoring device based on the history data and the device status. The service life and maintenance period of the equipment are predicted by analyzing the running condition and maintenance history of the equipment, and corresponding maintenance plans and reminders are generated, so that the service life of the equipment is effectively prolonged, and unplanned maintenance and downtime are reduced;
3. energy consumption optimization and cost reduction: the energy efficiency optimizing unit monitors the energy consumption and efficiency of the environment monitoring equipment and provides energy saving suggestions and optimizing schemes. By optimizing the energy efficiency and energy consumption of the equipment, the energy consumption and the operation and maintenance cost are reduced, and the cost is effectively controlled;
4. automated scheduling and resource utilization optimization: the automatic scheduling unit can automatically adjust the operation mode, sampling frequency and parameter configuration of the environment monitoring equipment according to the data acquired in real time and the operation and maintenance requirements so as to adapt to different monitoring tasks and environment conditions. The resource utilization of the equipment is optimized through automatic scheduling, and the operation and maintenance efficiency and the monitoring accuracy are improved;
5. monitoring precision and data accuracy are improved: the influence of equipment faults and errors on monitoring data is reduced through fault diagnosis, preventive maintenance and automatic scheduling measures, so that the monitoring precision and the data accuracy are improved;
6. improving the reliability and usability of the system: through fault diagnosis and elimination, preventive maintenance and automatic scheduling optimization measures, the reliability and usability of the environment monitoring system are improved, faults and downtime are reduced, and stable operation of the system is ensured.
Drawings
Fig. 1 is a schematic structural diagram of an environment monitoring operation and maintenance platform based on identification analysis.
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.
Referring to fig. 1, an environment monitoring operation and maintenance platform based on identification resolution includes the following modules:
the identification analysis module: and analyzing and marking equipment and facility identifiers in the environment by adopting an intelligent identifier identification technology. Accurately identifying each identifier in the environment by means of image identification and sensor data, and establishing association relation between the identifier and equipment, position and attribute;
and the data acquisition and processing module is used for: and the integrated sensor and equipment hardware facilities are matched with the identification analysis module to realize real-time acquisition and processing of environmental data. The acquired data is subjected to pretreatment, cleaning and finishing steps, so that the quality and accuracy of the data are ensured;
analysis and decision module: and analyzing and mining the collected environmental data by utilizing big data analysis and machine learning technologies, and extracting valuable information and trends. Based on the analysis result, providing operation and maintenance decision suggestions and early warning prompts, helping operation and maintenance personnel to discover environmental problems in time and make corresponding treatment;
and the operation and maintenance optimization module is used for: and providing operation and maintenance optimization suggestions and schemes by combining the environmental data analysis results. Through an automatic and intelligent mode, the operation and maintenance flow is optimized, manual operation and human errors are reduced, and operation and maintenance efficiency and asset utilization rate are improved.
Referring to fig. 1, the identity resolution module includes the following elements:
an image recognition unit: the unit processes and analyzes the image in the environment by using a computer vision technology to identify the identification object therein, and determines the position and type of the identification by using a target detection, feature extraction and classification technology;
a data association unit: the data association unit cooperates with the image recognition unit to associate the recognized identification object with corresponding equipment, position and attribute, and matches and links the image recognition result with a database or an equipment list which is established previously so as to ensure that the association between the identification and the related information is established correctly;
an environment sensing unit: the environment sensing unit acquires data related to the environment state through a sensor network or other environment monitoring equipment, and collects temperature, humidity, gas concentration and noise level data to provide comprehensive environment monitoring;
a data processing unit: the data processing unit is responsible for processing and analyzing the original data obtained from the environment sensing unit, and performing data cleaning, anomaly detection and data aggregation operations so as to ensure the accuracy and usability of the data;
an identification relationship management unit: the identifier relation management unit is responsible for establishing and managing the relation among the identifiers, the devices, the positions and the attributes, maintains a database of the identifiers, and provides functions of adding, deleting and updating the identifiers so as to facilitate subsequent identifier analysis and query operations.
Referring to fig. 1, the data acquisition and processing module includes the following units:
sensor unit: the sensor unit is responsible for collecting various data required by environmental monitoring and comprises a plurality of sensor devices for measuring and monitoring different physical quantities, and the sensor unit converts the collected data into digital signals or analog signals for subsequent processing;
a data acquisition unit: the data acquisition unit is responsible for receiving the data sent by the sensor unit and acquiring and storing the data, and comprises a digital converter, a signal processor and a storage device assembly, wherein the digital converter, the signal processor and the storage device assembly are used for converting the sensor data into a digital form and storing the sensor data in a local or cloud database for subsequent processing and analysis;
a data transmission unit: the data transmission unit is responsible for transmitting the acquired data from the data acquisition unit to the data processing unit or other systems, and transmitting the data to a designated target position through a wired or wireless communication mode so as to ensure the timely availability of the data;
a data processing unit: the data processing unit receives the data sent by the data transmission unit and performs various processing and analysis operations, and the data processing unit comprises data cleaning, filtering, anomaly detection, data aggregation and statistical analysis functions so as to extract useful information and generate corresponding operation and maintenance reports and data visualization results;
a data storage unit: the data storage unit is responsible for long-term storage of the processed data, is a local database system or cloud storage service and is used for storing and managing a large amount of monitoring data, and the data storage unit also provides functions of data backup and recovery so as to ensure the safety and reliability of the data.
Referring to fig. 1, the analysis and decision module includes the following elements:
a data preprocessing unit: the data preprocessing unit is responsible for carrying out preliminary processing and cleaning on the collected environment monitoring data, and comprises the operations of data cleaning, noise removal, data deviation correction and missing data processing;
a data analysis unit: the data analysis unit is used for carrying out various analyses and mining on the preprocessed data, and comprises statistical analysis, time sequence analysis, regression analysis, data mining, machine learning technology and algorithm, and the data analysis unit is used for searching modes, trends and relativity in the data, finding useful information and insights hidden in the data and providing support for subsequent decisions;
the prediction and early warning unit: the prediction and early warning unit predicts the environmental state and detects the abnormality based on the data analysis result, it predicts the future environmental trend by using the history data and model, and detects the abnormality and early warning according to the threshold value set, the function of the unit is to help the operation and maintenance personnel find the potential problem and risk in time, and take the corresponding measure to intervene and adjust;
decision support unit: the decision support unit provides advice and support for operation and maintenance decisions based on analysis and prediction results, generates operation and maintenance reports, visual charts and indexes according to the data analysis results, helps operation and maintenance personnel to comprehensively know environmental conditions and make reasonable decisions, and the unit is used for providing real-time operation and maintenance information and decision support so as to optimize the effects of environment monitoring and operation and maintenance management.
Referring to fig. 1, the operation and maintenance optimization module includes the following units:
fault diagnosis and removal unit: the fault diagnosis and elimination unit is responsible for detecting and identifying faults in the environment monitoring system and providing corresponding elimination strategies and suggestions, and the fault diagnosis and elimination unit assists operation and maintenance personnel to rapidly locate and solve problems by analyzing abnormal data, equipment states and sensor fault information, so that the system downtime is reduced, and the reliability and stability of the system are improved;
preventive maintenance unit: the preventive maintenance unit performs preventive maintenance planning and management on the environment monitoring equipment based on the historical data and equipment states, analyzes equipment operation conditions, fault modes and maintenance histories, predicts service life and maintenance period of the equipment, and generates corresponding maintenance plans and reminders;
an energy efficiency optimizing unit: the energy efficiency optimizing unit is focused on optimizing energy conservation and resource utilization, monitors energy consumption and efficiency of the environment monitoring equipment, and provides an energy conservation proposal and an optimizing scheme according to equipment load, working mode and environmental condition factors;
an automated scheduling unit: the automatic scheduling unit is used for automatically managing and scheduling the work and operation of the environment monitoring equipment, and automatically adjusts the operation mode, the sampling frequency and the sensor layout parameters of the equipment according to the data acquired in real time and the operation and maintenance requirements so as to adapt to different environment conditions and monitoring tasks.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, shall cover the same or different embodiments according to the technical solution and the inventive concept of the present invention.
Claims (5)
1. The environment monitoring operation and maintenance platform based on identification analysis is characterized by comprising the following modules:
the identification analysis module: analyzing and marking equipment and facility identifiers in the environment by adopting an intelligent identifier recognition technology; accurately identifying each identifier in the environment by means of image identification and sensor data, and establishing association relation between the identifier and equipment, position and attribute;
and the data acquisition and processing module is used for: the integrated sensor and equipment hardware facilities are matched with the identification analysis module to realize real-time acquisition and processing of environmental data, and the acquired data is subjected to pretreatment, cleaning and finishing steps to ensure the quality and accuracy of the data;
analysis and decision module: analyzing and mining the collected environmental data by utilizing big data analysis and machine learning technologies, and extracting valuable information and trends; based on the analysis result, providing operation and maintenance decision suggestions and early warning prompts, helping operation and maintenance personnel to discover environmental problems in time and make corresponding treatment;
and the operation and maintenance optimization module is used for: and providing operation and maintenance optimization suggestions and schemes by combining the environmental data analysis results.
2. The environment monitoring operation and maintenance platform based on identification resolution according to claim 1, wherein the identification resolution module comprises the following units:
an image recognition unit: the unit processes and analyzes the image in the environment by using a computer vision technology to identify the identification object therein, and determines the position and type of the identification by using a target detection, feature extraction and classification technology;
a data association unit: the data association unit cooperates with the image recognition unit to associate the recognized identification object with corresponding equipment, position and attribute, and matches and links the image recognition result with a database or an equipment list which is established previously so as to ensure that the association between the identification and the related information is established correctly;
an environment sensing unit: the environment sensing unit acquires data related to the environment state through a sensor network or other environment monitoring equipment, and collects temperature, humidity, gas concentration and noise level data to provide comprehensive environment monitoring;
a data processing unit: the data processing unit is responsible for processing and analyzing the original data obtained from the environment sensing unit, and performing data cleaning, anomaly detection and data aggregation operations so as to ensure the accuracy and usability of the data;
an identification relationship management unit: the identifier relation management unit is responsible for establishing and managing the relation among the identifiers, the devices, the positions and the attributes, maintains a database of the identifiers, and provides functions of adding, deleting and updating the identifiers so as to facilitate subsequent identifier analysis and query operations.
3. The environment monitoring operation platform based on identification resolution according to claim 1, wherein the data acquisition and processing module comprises the following units:
sensor unit: the sensor unit is responsible for collecting various data required by environmental monitoring and comprises a plurality of sensor devices for measuring and monitoring different physical quantities, and the sensor unit converts the collected data into digital signals or analog signals for subsequent processing;
a data acquisition unit: the data acquisition unit is responsible for receiving the data sent by the sensor unit and acquiring and storing the data, and comprises a digital converter, a signal processor and a storage device assembly, wherein the digital converter, the signal processor and the storage device assembly are used for converting the sensor data into a digital form and storing the sensor data in a local or cloud database for subsequent processing and analysis;
a data transmission unit: the data transmission unit is responsible for transmitting the acquired data from the data acquisition unit to the data processing unit or other systems, and transmitting the data to a designated target position through a wired or wireless communication mode so as to ensure the timely availability of the data;
a data processing unit: the data processing unit receives the data sent by the data transmission unit and performs various processing and analysis operations, and the data processing unit comprises data cleaning, filtering, anomaly detection, data aggregation and statistical analysis functions so as to extract useful information and generate corresponding operation and maintenance reports and data visualization results;
a data storage unit: the data storage unit is responsible for long-term storage of the processed data, is a local database system or cloud storage service and is used for storing and managing a large amount of monitoring data, and the data storage unit also provides functions of data backup and recovery so as to ensure the safety and reliability of the data.
4. The environment monitoring operation and maintenance platform based on identification resolution according to claim 1, wherein the analysis and decision module comprises the following units:
a data preprocessing unit: the data preprocessing unit is responsible for carrying out preliminary processing and cleaning on the collected environment monitoring data, and comprises the operations of data cleaning, noise removal, data deviation correction and missing data processing;
a data analysis unit: the data analysis unit is used for carrying out various analyses and mining on the preprocessed data, and comprises statistical analysis, time sequence analysis, regression analysis, data mining, machine learning technology and algorithm, and the unit is used for searching modes, trends and relativity in the data;
the prediction and early warning unit: the prediction and early warning unit predicts the environmental state and detects the abnormality based on the data analysis result, predicts the future environmental trend by using the historical data and the model, and carries out the abnormality detection and early warning according to the set threshold value;
decision support unit: the decision support unit provides advice and support for operation and maintenance decisions based on analysis and prediction results, generates operation and maintenance reports, visual charts and indexes according to the data analysis results, helps operation and maintenance personnel to comprehensively know environmental conditions and make reasonable decisions, and the unit is used for providing real-time operation and maintenance information and decision support.
5. The environment monitoring operation and maintenance platform based on identification resolution according to claim 1, wherein the operation and maintenance optimization module comprises the following units:
fault diagnosis and removal unit: the fault diagnosis and elimination unit is responsible for detecting and identifying faults in the environment monitoring system and providing corresponding elimination strategies and suggestions by analyzing abnormal data, equipment states and sensor fault information;
preventive maintenance unit: the preventive maintenance unit performs preventive maintenance planning and management on the environment monitoring equipment based on the historical data and equipment states, analyzes equipment operation conditions, fault modes and maintenance histories, predicts service life and maintenance period of the equipment, and generates corresponding maintenance plans and reminders;
an energy efficiency optimizing unit: the energy efficiency optimizing unit is focused on optimizing energy conservation and resource utilization, monitors energy consumption and efficiency of the environment monitoring equipment, and provides an energy conservation proposal and an optimizing scheme according to equipment load, working mode and environmental condition factors;
an automated scheduling unit: the automatic scheduling unit is used for automatically managing and scheduling the work and operation of the environment monitoring equipment, and automatically adjusts the operation mode, the sampling frequency and the sensor layout parameters of the equipment according to the data acquired in real time and the operation and maintenance requirements, and adapts to different environment conditions and monitoring tasks.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117556646A (en) * | 2024-01-12 | 2024-02-13 | 深圳柯赛标识智能科技有限公司 | Intelligent identification operation and maintenance management method and system based on environment parameters |
| CN117648649A (en) * | 2024-01-30 | 2024-03-05 | 深圳柯赛标识智能科技有限公司 | State detection and analysis method and device for intelligent identification |
| CN117923331A (en) * | 2024-01-23 | 2024-04-26 | 山东衡昊信息技术有限公司 | Load control system and method based on crane hoisting |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117556646A (en) * | 2024-01-12 | 2024-02-13 | 深圳柯赛标识智能科技有限公司 | Intelligent identification operation and maintenance management method and system based on environment parameters |
| CN117556646B (en) * | 2024-01-12 | 2024-04-30 | 深圳柯赛标识智能科技有限公司 | Intelligent identification operation and maintenance management method and system based on environment parameters |
| CN117923331A (en) * | 2024-01-23 | 2024-04-26 | 山东衡昊信息技术有限公司 | Load control system and method based on crane hoisting |
| CN117648649A (en) * | 2024-01-30 | 2024-03-05 | 深圳柯赛标识智能科技有限公司 | State detection and analysis method and device for intelligent identification |
| CN117648649B (en) * | 2024-01-30 | 2024-04-02 | 深圳柯赛标识智能科技有限公司 | State detection and analysis method and device for intelligent identification |
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