Integrated intelligent data automatic management equipment for dense cabinet

Abstract

The invention discloses an integrated intelligent data automatic management device for a dense cabinet. The device comprises an intelligent query module, an automatic positioning module, an intelligent control module, a remote monitoring module, an environment management and configuration module, a safety protection module and an information management module. The cooperative work of the units not only maximizes the management efficiency and value of data, but also significantly improves the efficiency and accuracy of data arrangement, ensures the timeliness and accuracy of information processing, and brings great improvement to data management and storage.

Description

Technical Field

[0001] This invention relates to the field of data management and storage equipment technology, and in particular to an integrated intelligent compact shelving data automation management device that integrates intelligent control, automatic identification and positioning technology, aiming to improve the security of data storage, retrieval efficiency and space utilization. Background Technology

[0002] Traditional mobile shelving systems have many shortcomings in data management, such as long search times, inefficient space allocation, high risk of data loss or damage, and high maintenance costs. With the development of information technology, especially the application of the Internet of Things, big data, and artificial intelligence, entirely new solutions for data management have been provided. Therefore, developing an integrated intelligent mobile shelving system capable of automated management, intelligent identification, and location is particularly important. Summary of the Invention

[0003] The purpose of this invention is to provide an integrated intelligent mobile shelving system for automated data management. This system integrates an RFID identification system, an automatic positioning system, an intelligent control module, and a remote monitoring platform to achieve rapid data retrieval, intelligent allocation of storage space, real-time monitoring and management, and remote operation control, thereby significantly improving data management efficiency and security.

[0004] To achieve the above technical objectives, the technical solution of the present invention is as follows: an integrated intelligent mobile shelving system for automated data management, comprising the following steps:

[0005] S1: Intelligent Query Module, supporting three query methods. First: It supports reading barcode information on documents using traditional scanning equipment. Utilizing advanced image recognition and machine learning technologies, the intelligent query module can automatically identify and classify barcode information on documents, improving the accuracy and speed of document retrieval. Second: It introduces deep learning algorithms to analyze data read from RFID tags. RFID technology uses electromagnetic waves to communicate with tags, enabling unique identification and automatic recognition of documents without physical contact. Third: It relies on database technology, natural language processing (NLP), and search engine technology. Database technology is used to store and manage large amounts of information; NLP technology is used to understand and interpret the user's query intent; and search engine technology is used to quickly retrieve and match relevant information in the database.

[0006] S2: Automatic positioning module, employing advanced sensor fusion technology, combines visual and distance sensors to improve the accuracy of storage unit positioning. By integrating sensors and a motor drive mechanism, it achieves precise movement and positioning of the storage units. The device has a built-in motor drive control algorithm to achieve smooth movement and precise stopping of the storage units, reducing positioning errors. Sensors monitor the position information of the storage units in real time. The mobile shelving unit equipped with a light-guided positioning function can reach its location based on the light's guidance.

[0007] S3: Intelligent Control Module, relying on Programmable Logic Controller (PLC), microprocessor, and sensor technology. The PLC or microprocessor, as the core controller, receives signals from input devices (such as buttons, touchscreens, etc.) and issues control commands according to preset program logic. Sensor technology is used to detect the current status of the mobile shelving (such as position, temperature, humidity, etc.) to ensure precise control. As the core processor, it receives instructions from the intelligent query module and automatic positioning module, processes data, and intelligently schedules storage units according to preset algorithms to optimize data access efficiency and space utilization.

[0008] S4: Remote monitoring module, relying on Internet of Things (IoT) technology, cloud computing, and communication technology. IoT technology connects the mobile shelving to the server, enabling real-time data transmission and remote command issuance; cloud computing technology provides data storage and processing capabilities; and communication technology ensures reliable data transmission, enabling data processing and real-time transmission of video streams from the remote monitoring module, as well as playback of alarm recordings, thus improving the system's response speed and stability.

[0009] S5: Environmental Management and Configuration Module, primarily relying on environmental monitoring sensors, a temperature and humidity control system, and adaptive protection technology. Environmental monitoring sensors monitor the internal environmental conditions of the mobile shelving unit in real time; the temperature and humidity control system automatically adjusts environmental conditions based on the monitoring results; and adaptive protection technology protects data from damage in abnormal situations. The device allows setting temperature and humidity thresholds, ventilation task repetition days, and start and end times. The system can ventilate the mobile shelving unit according to the configured parameters.

[0010] S6: The security protection module incorporates biometric technologies such as fingerprint and facial recognition, as well as mechanical locks and a nine-grid password verification system, enhancing both security and convenience. Multiple security mechanisms, including a frame soft-start function, infrared human body protection, power safety protection, over-limit protection, obstruction pressure alarm, smoke detection alarm, mechanical locking, and chassis protection, provide comprehensive and robust security for personnel and goods.

[0011] S7: The information management module employs advanced database technology to store and manage information, ensuring data security and efficient access. Simultaneously, it combines data mining and analysis techniques to extract valuable knowledge and patterns from massive amounts of data, supporting intelligent decision-making. Data visualization tools further simplify the decision-making process, providing managers with intuitive data analysis results and automating and intelligentizing information management.

[0012] The beneficial effects of the present invention are as follows: Through the above embodiments, the present invention can realize the automated management of data. By integrating multiple intelligent modules, the automation and intelligence of data management are realized, improving management efficiency and security. It significantly improves the efficiency of data management and enhances the security of data, providing great convenience and enhanced support for data storage and protection. At the same time, the device is easy to operate, provides a good user experience, and has broad application prospects. Attached Figure Description

[0013] Figure 1 This is a flowchart illustrating the overall implementation process of an integrated intelligent mobile shelving system for automated data management, as described in this invention.

Claims

1. An integrated intelligent mobile shelving system for automated data management, characterized in that... Includes the following steps: S1: Intelligent Query Module, supporting three query methods. First: Utilizing advanced image recognition and machine learning technology, it uses traditional scanning equipment to read barcode information on documents for querying. Second: Introducing deep learning algorithms to analyze data read from RFID tags. RFID technology uses electromagnetic waves to communicate with tags, enabling unique identification and automatic recognition of documents without physical contact. Third: Relying on database technology, natural language processing (NLP), and search engine technology. Database technology is used to store and manage large amounts of information; NLP technology is used to understand and interpret the user's query intent; and search engine technology is used to quickly retrieve and match relevant information in the database. S2: Automatic positioning module, employing advanced sensor fusion technology, combines visual and distance sensors to improve the accuracy of storage unit positioning. Through the integration of sensors and a motor drive mechanism, it achieves precise movement and positioning of the storage units. The mobile shelving unit equipped with a lighting positioning function can use lights to guide the location of the materials on the shelf. S3: Intelligent control module, which relies on programmable logic controller (PLC), microprocessor and sensor technology. The PLC or microprocessor acts as the core controller, receiving signals from input devices (such as buttons, touch screens, etc.) and issuing control commands according to the preset program logic. S4: Remote monitoring module, relying on Internet of Things (IoT) technology, cloud computing, and communication technology. IoT technology connects the mobile shelving to the server, enabling real-time data transmission and remote command issuance; cloud computing technology provides data storage and processing capabilities; and communication technology ensures reliable data transmission. S5: Environmental Management and Configuration Module, primarily relying on environmental monitoring sensors, a temperature and humidity control system, and adaptive protection technology. The environmental monitoring sensors are used to monitor the environmental conditions inside the mobile shelving unit in real time; the temperature and humidity control system automatically adjusts the environmental conditions based on the monitoring results. Adaptive protection technology is used to protect data from damage in abnormal situations; S6: The security protection module incorporates biometric technologies such as fingerprint and facial recognition, as well as mechanical locks and a nine-grid password verification system, enhancing both security and convenience. Multiple security mechanisms, including a frame soft-start function, infrared human body protection, power safety protection, over-limit protection, obstruction pressure alarm, smoke detection alarm, mechanical locking, and chassis protection, provide comprehensive and robust security for personnel and goods. S7: The information management module employs advanced database technology to store and manage information, ensuring data security and efficient access. Simultaneously, it combines data mining and analysis techniques to extract valuable knowledge and patterns from massive amounts of data, supporting intelligent decision-making.

2. The integrated intelligent mobile shelving data automation management device according to claim 1, the device includes an intelligent query module, an automatic positioning module, an intelligent control module, a remote monitoring module, an environmental management and configuration module, a security protection module, and an information management module.

3. The integrated intelligent mobile shelving document automation management device according to claim 1, characterized in that the intelligent query module supports three query methods: First, it supports reading barcode information on documents using traditional scanning equipment. Utilizing advanced image recognition and machine learning technologies, the intelligent query module can automatically identify and classify barcode information on documents, improving the accuracy and speed of document retrieval. Second, it introduces deep learning algorithms to analyze data read from RFID tags. RFID technology uses electromagnetic waves to communicate with tags, enabling unique identification and automatic recognition of documents without physical contact. Third, it relies on database technology, natural language processing (NLP), and search engine technology. Database technology is used to store and manage large amounts of information; NLP technology is used to understand and interpret user query intent; and search engine technology is used to quickly retrieve and match relevant information in the database.

4. The integrated intelligent mobile shelving data automation management device according to claim 1, wherein the automatic positioning module is characterized in that, Utilizing advanced sensor fusion technology, combining visual and distance sensors, the accuracy of storage unit positioning is improved. Precise movement and positioning of the storage units are achieved through the integration of sensors and motor drive mechanisms. The equipment incorporates a motor drive control algorithm to enable smooth movement and precise stopping of the storage units, reducing positioning errors. Sensors monitor the position information of the storage units in real time. The mobile shelving unit, equipped with a lighting positioning function, can navigate to its designated location based on the lighting guidance.

5. The integrated intelligent mobile shelving data automation management device according to claim 1, wherein the intelligent control module is characterized in that, It relies on programmable logic controllers (PLCs), microprocessors, and sensor technologies. The PLC or microprocessor acts as the core controller, receiving signals from input devices (such as buttons, touchscreens, etc.) and issuing control commands according to preset program logic. Sensor technology is used to detect the current status of the mobile shelving (such as position, temperature, humidity, etc.) to ensure precise control. The core processor receives instructions from the intelligent query module and automatic positioning module, processes data, and intelligently schedules storage units according to preset algorithms to optimize data access efficiency and space utilization.

6. The integrated intelligent mobile shelving data automation management device according to claim 1, wherein the remote monitoring module is characterized in that, It relies on Internet of Things (IoT) technology, cloud computing, and communication technology. The Internet of Things (IoT) technology connects mobile shelving units to servers, enabling real-time data transmission and remote command issuance; cloud computing technology provides data storage and processing capabilities; and communication technology ensures reliable data transmission, enabling data processing and real-time transmission of video streams from remote monitoring modules, as well as playback of alarm recordings, thus improving the system's response speed and stability.

7. The integrated intelligent mobile shelving data automation management device according to claim 1, wherein the environmental management and configuration module is characterized in that, It mainly relies on environmental monitoring sensors, temperature and humidity control systems, and adaptive protection technology. Environmental monitoring sensors are used to monitor the environmental conditions inside the mobile shelving unit in real time; the temperature and humidity control system automatically adjusts the environmental conditions based on the monitoring results. Adaptive protection technology is used to protect data from damage in abnormal situations. The equipment can be set with temperature and humidity thresholds, ventilation task repetition days, and start and end times. The system can ventilate the mobile shelving according to the configured parameters.

8. The integrated intelligent mobile shelving system for automated data management according to claim 1, characterized in that the security protection module incorporates biometric technologies such as fingerprint and facial recognition, as well as mechanical locks and a nine-grid password verification system, enhancing the security and convenience of the security protection module. Multiple security protection mechanisms, such as a slow-start function for the shelving unit, infrared human body protection, power safety protection, over-limit protection, obstruction pressure alarm, smoke detection alarm, mechanical locking, and chassis protection, provide comprehensive and robust security for personnel and goods.

9. The integrated intelligent mobile shelving data automation management device according to claim 1, wherein the information management module is characterized in that, Advanced database technology is employed to store and manage information, ensuring data security and efficient access. Simultaneously, data mining and analysis techniques are combined to extract valuable knowledge and patterns from massive datasets, supporting intelligent decision-making. Data visualization tools further simplify the decision-making process, providing managers with intuitive data analysis results and automating and intelligentizing information management.

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