Intelligent medicine storage cabinet monitoring system based on Internet of Things technology

Abstract

The invention relates to the technical field of the Internet of Things, and discloses an intelligent medicine storage cabinet monitoring system based on the Internet of Things technology, which comprises a medicine storage cabinet, the medicine storage cabinet is in signal connection with an Internet of Things equipment layer, the Internet of Things equipment layer is in network connection with a network communication layer, and the network communication layer is in data connection with a data processing layer. The data processing layer is in data connection with a user identity verification module, the user identity verification module is in signal connection with an access recording unit, and the access recording unit is in data connection with a data encryption module. Meanwhile, all access activities are recorded, subsequent safety auditing and monitoring are facilitated, the central processing system is connected with the real-time monitoring system, it is ensured that environment parameters such as the temperature and humidity of the medicine storage cabinet can be monitored in real time, and abnormal conditions are found and processed in time.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to an intelligent medicine storage cabinet monitoring system based on the Internet of Things technology. Background Art

[0002] The intelligent medicine cabinet monitoring system is a solution that uses Internet of Things technology to achieve drug storage management.

[0003] Many medicine cabinets lack effective user authentication modules, which may result in unauthorized personnel accessing medicines, increasing the risk of drug loss or abuse. Traditional medicine cabinets may not have access recording units and cannot record all access activities, which makes it difficult to conduct effective security audits and monitoring when security incidents occur. Some medicine cabinets lack connections to real-time monitoring systems and cannot monitor environmental parameters such as temperature and humidity in real time, which may cause medicines to be damaged due to improper environments. Medicine cabinets without data encryption modules may not be able to guarantee the security of transmitted and stored data, increasing the risk of data leakage. Medicine cabinets without anomaly detection modules cannot promptly detect and respond to abnormal behavior in the system, which may affect the stability and reliability of the system. Medicine cabinets without security protocol modules may not be able to provide additional security for data access, resulting in data transmission process. The safety of medicine cabinets cannot be fully protected. Traditional medicine cabinets may not have RFID readers and barcode scanners, which reduces the efficiency and accuracy of drug management and increases the possibility of human errors. Medicine cabinets without early warning units cannot notify managers of potential risks or problems in advance, which may lead to the failure to take preventive measures in time. Medicine cabinets on the market may not integrate the Internet of Things device layer, network communication layer, data processing layer and central processing system, which limits the intelligence and automation of the medicine cabinet system and affects the overall work efficiency. Due to the lack of regular safety audits and tests, as well as user training and documentation support, medicine cabinets on the market may not ensure the stability and reliability of the system, and at the same time increase the possibility of operational errors. To this end, we propose an intelligent medicine cabinet monitoring system based on the Internet of Things technology to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent medicine cabinet monitoring system based on Internet of Things technology to solve the problems raised in the above background technology.

[0005] The technical solution of the present invention is: an intelligent medicine cabinet monitoring system based on Internet of Things technology, including a medicine cabinet, the medicine cabinet signal is connected to an Internet of Things device layer, the Internet of Things device layer network is connected to a network communication layer, the network communication layer data is connected to a data processing layer, the data processing layer data is connected to a user identity authentication module, the user identity authentication module signal is connected to an access recording unit, and the access recording unit data is connected to a data encryption module.

[0006] Preferably, the medicine storage cabinet is signal-connected to multiple storage units, each of the multiple storage units is signal-connected to a barcode scanner, the barcode scanner is signal-connected to a central processing system, a temperature and humidity sensor is fixedly connected to the interior of the medicine storage cabinet, the central processing system is signal-connected to a communication module, and the communication module is signal-connected to a real-time monitoring system.

[0007] Preferably, the access recording unit includes a security audit unit, the security audit unit signal is connected to a data encryption module, the data encryption module is data connected to an anomaly detection module, the data access recording unit signal is connected to an access control algorithm module, and the access control algorithm module signal is connected to a security protocol module.

[0008] Preferably, the central processing system is data-connected to the network communication layer, and the central processing system is data-connected to the data processing layer.

[0009] Preferably, the IoT device layer includes an RFID reader / writer, and the RFID reader / writer is data-connected to a barcode scanner.

[0010] Preferably, the real-time monitoring system signal is connected with an early warning unit, and the real-time monitoring system data is connected with a data access recording unit.

[0011] Preferably, the method comprises the following steps: Step S1: barcode scanners in multiple storage units in the medicine storage cabinet are used to identify and track medicines, and can automatically scan RFID tags on medicines and upload information to a central processing system; Step S2: Monitor the temperature and humidity in the medicine storage cabinet through the temperature and humidity sensor to ensure that the medicine storage environment meets the requirements, and the temperature and humidity range = minimum allowable value ≤ real-time temperature and humidity ≤ maximum allowable value; Step S3: transmitting the drug data in the medicine storage cabinet to the central processing system in real time through the communication module;

[0012] Current inventory level = initial inventory + incoming inventory - outgoing inventory; calculate the safety inventory of the medicine storage cabinet. The safety inventory calculation steps are as follows: ; in, represents the safety stock, represents the safety factor, represents the replenishment cycle, Indicates the total number of days. represents the outbound quantity on the i-th day, represents the inventory quantity on the i-th day; Step S4: The real-time monitoring system can display the real-time status of the storage and access of the medicines in the medicine storage cabinet and the environmental conditions, and calculate the number of days in advance of the validity period warning of the medicines. The steps for calculating the number of days in advance of the validity period warning are as follows: ; in, Indicates the number of days in advance of the effective warning period. Indicates the expiration date of the drug. represents the replenishment cycle, Indicates the total number of days. represents the outbound quantity on the i-th day, represents the inventory quantity on the i-th day, Safety stock days, represents the safety factor; Step S5: Through the threshold set in the early warning unit, when the quantity of medicines is lower than the safety stock or the environmental conditions exceed the preset range, the system automatically issues an alarm; and calculates the intelligent replenishment recommendation quantity. The intelligent replenishment recommendation quantity calculation steps are as follows: ; in, Indicates the recommended quantity for intelligent replenishment. Indicates the total number of days. represents the outbound quantity on the i-th day, represents the inventory quantity on the i-th day, represents the replenishment cycle, represents the safety stock, Indicates the current inventory level, represents the seasonal fluctuation coefficient, represents the prediction error coefficient; Step S6: Using RFID technology or biometric technology to authenticate the user, and setting different access rights according to the user role (such as administrator, doctor, nurse, patient); Step S7: The system records the time, user identity, and operation type of each access for auditing and security monitoring; Step S8: Regularly conduct security audits on the system to ensure that there are no security loopholes. The system monitors abnormal behaviors in real time, such as illegal intrusions and unauthorized access, and issues alarms in a timely manner; Safety audit = regular audit cycle / total audit cycle; Safety audit coverage = number of audit inspection items / total number of inspection items; Abnormal behavior detection threshold = statistical parameters of normal access patterns ± defined deviation range; Step S9: Perform unit testing, integration testing, and system testing on the system to ensure that all parts work together correctly, deploy the system to the actual environment, and perform on-site testing and adjustments, provide user training and documentation, and ensure that users can use the system correctly.

[0013] Preferably, the steps for calculating the safety inventory level of the medicine storage cabinet are as follows: The steps for calculating the current inventory of the medicine cabinet are as follows: current_inventory = ; The steps for calculating the safety inventory of the medicine cabinet are as follows: safety_stock_levels ; The steps for updating the inventory of the medicine cabinet are as follows: defupdate_inventory(inventory, safety_stock): for drug, stock inventory, items; The steps for calculating the difference between the current inventory and the safety stock are as follows: deficit = safety_stock[drug] - stockif deficit > 0; If the current inventory is lower than the safety stock, print the inventory quantity that needs to be replenished print(f "The safety stock of drug {drug} is insufficient and needs to be replenished {deficit} units"); If the current stock is greater than or equal to the safety stock, print the current status print(f "The stock of drug {drug} is safe, and the current stock is {stock} units").

[0014] The present invention provides an intelligent medicine cabinet monitoring system based on the Internet of Things technology through improvement, which has the following improvements and advantages compared with the prior art: First, the present invention ensures that only authorized users can access the medicine cabinet through the user identity authentication module and the access recording unit, and records all access activities at the same time, which is convenient for subsequent security audit and monitoring. The connection between the central processing system and the real-time monitoring system ensures that the environmental parameters such as temperature and humidity of the medicine cabinet can be monitored in real time, and abnormal situations can be discovered and handled in time. The data encryption module ensures the security of data transmitted and stored in the medicine cabinet and prevents data leakage. The abnormal detection module can discover and respond to abnormal behaviors in the system in time, enhance the stability and reliability of the system, and the security protocol module provides additional security for data access to ensure the security of the data transmission process. The use of RFID readers and barcode scanners improves the efficiency and accuracy of drug management and reduces human errors. The existence of the early warning unit can notify managers of potential risks or problems in advance, so that preventive measures can be taken. The integration of the Internet of Things device layer, the network communication layer, the data processing layer and the central processing system realizes the intelligence and automation of the medicine cabinet system and improves the overall work efficiency. Second, the present invention can quickly and accurately track drug information and reduce manual operation errors by automatically scanning RFID tags and uploading information to the central processing system. The temperature and humidity sensors monitor the environment in the medicine storage cabinet to ensure that the drugs are always in suitable storage conditions and avoid damage to the drugs due to improper environment. The communication module transmits drug data to the central processing system in real time, which is convenient for managers to understand the drug inventory and environmental conditions in a timely manner. The early warning unit can issue an alarm when the number of drugs is lower than the safety inventory or the environmental conditions exceed the preset range, so as to take timely measures. RFID technology and biometric technology are used for user identity authentication to ensure that only authorized personnel can access the drugs. At the same time, the system records access information for auditing and security monitoring. The system monitors abnormal behaviors in real time, such as illegal intrusion and unauthorized access, and issues alarms in time to ensure drug safety. Through regular security audits and tests, it is ensured that the system has no security vulnerabilities and that all parts work together correctly to improve the stability and reliability of the system. User training and documentation are provided to ensure that users can use the system correctly, reduce operating errors, and improve work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further explained below in conjunction with the accompanying drawings and embodiments: Figure 1 is a flow chart of the present invention; Figure 2 is a flow chart of the present invention; Figure 3 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0016] The present invention is described in detail below, and the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] The present invention provides an intelligent medicine cabinet monitoring system based on the Internet of Things technology through improvement. The technical solution of the present invention is: like Figure 1-Figure 3 As shown, an intelligent medicine cabinet monitoring system based on the Internet of Things technology includes a medicine cabinet, the medicine cabinet signal is connected to the Internet of Things device layer, the Internet of Things device layer network is connected to the network communication layer, the network communication layer data is connected to the data processing layer, the data processing layer data is connected to the user identity authentication module, the user identity authentication module signal is connected to the access record unit, the access record unit data is connected to the data encryption module, the user identity authentication module ensures that only authorized users can access the medicine cabinet system, and the data encryption module protects the security of the data transmission process, the layered architecture makes the responsibilities of each part of the system clear, easy to manage and maintain, each layer can be independently expanded to adapt to the development of future technology or changes in business needs, the data processing layer can analyze and process the collected data to provide support for decision-making, the separation of the Internet of Things device layer and the network communication layer ensures that even if a problem occurs in one layer, the other layers can still operate independently, thereby improving the overall stability of the system, the network communication layer can transmit data in real time, so that the system can quickly respond to various situations, such as timely replenishment when the drug inventory is insufficient, and the setting of the user identity authentication module and the access record unit provides users with a clear usage record and a convenient access method.

[0018] Furthermore, the medicine storage cabinet is signal-connected to multiple storage units, and the multiple storage units are signal-connected to barcode scanners, which are signal-connected to the central processing system. The interior of the medicine storage cabinet is fixedly connected to a temperature and humidity sensor, which is signal-connected to a communication module of the central processing system, which is signal-connected to a real-time monitoring system. The medicine storage cabinet system is signal-connected to multiple storage units via a barcode scanner, thereby ensuring accurate management and tracking of medicines. The connection between the barcode scanner and the central processing system enables real-time update and processing of drug information, thereby improving the efficiency and accuracy of data processing. The integration of temperature and humidity sensors ensures the stability of the internal environment of the medicine storage cabinet, which is crucial for the preservation of drugs and can prevent drug deterioration due to environmental factors. The connection between the central processing system and the communication module allows data to be transmitted to the monitoring system in real time, so that managers can remotely monitor the status of drugs and the operation of the medicine storage cabinet, thereby improving the convenience and real-time nature of management. Overall, this system design can improve the efficiency and accuracy of drug management and ensure the quality of drugs, while providing real-time monitoring and data support for managers and optimizing drug storage and management processes.

[0019] Furthermore, the access recording unit includes a security audit unit, the security audit unit is signal-connected to a data encryption module, the data encryption module is data-connected to an anomaly detection module, the data access recording unit is signal-connected to an access control algorithm module, and the access control algorithm module is signal-connected to a security protocol module. The combination of the access recording unit and the security audit unit can ensure that all access activities are recorded and monitored, which is helpful to track and analyze potential security incidents. The security audit unit is connected to the data encryption module via signals to ensure that the transmitted data is protected during storage and transmission to prevent data leakage. The data encryption module is connected to the anomaly detection module to promptly detect and respond to abnormal behavior during data transmission and enhance the system's security protection capabilities. The data access recording unit is connected to the access control algorithm module via signals to perform fine management of access rights to ensure that only authorized users can access sensitive data. The access control algorithm module is then connected to the security protocol module to further ensure the security and integrity of the data exchange process. Overall, the benefit of this structure is that it provides a multi-level, collaborative security protection system that effectively improves data security and system protection capabilities.

[0020] Furthermore, the central processing system is connected to the network communication layer data, and the central processing system is connected to the data processing layer data, ensuring that the central processing system can receive and send data in real time, improving decision-making speed and response efficiency. Through direct data connection, the consistency and accuracy of data between different systems can be guaranteed, reducing data redundancy and errors, and promoting integration between different systems, making the entire workflow smoother and improving work efficiency. The central processing system can automatically process data from the network communication layer and the data processing layer, reducing manual intervention and reducing operating costs. Through secure data connection, data access rights can be better controlled, data security and privacy protection can be enhanced, the central processing system can adjust resource allocation according to real-time data, optimize overall performance and resource utilization, and the stability of data connection can ensure the timely delivery of key information and improve the reliability and stability of the entire system.

[0021] Furthermore, the IoT device layer includes RFID readers, which are connected to barcode scanners. RFID readers can quickly read a large amount of tag information, while barcode scanners can process single or small amounts of barcode data. The combination of the two can achieve fast and accurate data collection. RFID technology can reduce human errors because it does not require manual scanning, while barcode scanners can be used to verify the data read by RFID to ensure the accuracy of the information. RFID is suitable for reading data at long distances and in non-line-of-sight environments, while barcode scanners are suitable for close distances and scenes with visible line of sight. The combination of the two can cover a wider range of application needs. The combined use of RFID readers and barcode scanners can achieve more sophisticated inventory tracking and management, improve inventory turnover and reduce inventory backlogs.

[0022] Furthermore, the real-time monitoring system signal connection is equipped with an early warning unit, and the real-time monitoring system data connection is equipped with a data access recording unit. The early warning unit of the real-time monitoring system signal connection can promptly detect and report potential connection problems, thereby reducing the risk of system failure and interruption. It helps to maintain the stability and reliability of the system and ensure the continuity of key tasks, while the data access recording unit of the real-time monitoring system data connection can track and record all data access activities, which helps to improve data security, prevent unauthorized access, and provide necessary records for auditing and compliance. In addition, these records can also be used to analyze data access patterns, optimize data management and storage strategies, and improve overall data processing efficiency.

[0023] Further, the following steps are included: Step S1: using barcode scanners of multiple storage units in the medicine cabinet to identify and track medicines, automatically scanning RFID tags on medicines and uploading information to a central processing system, automatically scanning RFID tags, reducing the time for manually inputting medicine information, speeding up the medicine management process, reducing medicine management errors caused by manual input errors through automatic identification technology, being able to track the location and status of medicines in real time, ensuring the traceability of medicines, uploading information to a central processing system, facilitating medicine inventory management, expiration warning and data analysis, ensuring the correct distribution and use of medicines, reducing the risk of drug abuse and misuse, and more effectively utilizing medicine cabinet space and reducing waste through precise management, and automatically recording and tracking medicine information to help meet regulatory requirements related to medicine management; Step S2: Monitor the temperature and humidity in the medicine storage cabinet through the temperature and humidity sensor to ensure that the medicine storage environment meets the requirements. The temperature and humidity range = minimum allowable value ≤ real-time temperature and humidity ≤ maximum allowable value. Appropriate temperature and humidity conditions help maintain the chemical stability and physical form of the medicine and avoid deterioration or failure of the medicine due to environmental factors. Appropriate temperature and humidity help inhibit the growth of microorganisms, reduce the risk of drug contamination, ensure the safety of the medicine, and ensure that the medicine is not affected by the environment during storage. It can improve the safety of medical operations and avoid medical accidents caused by drug problems. Many drug storages have clear temperature and humidity regulations. Monitoring and maintaining appropriate environmental conditions helps medical institutions comply with relevant laws and regulations and avoid legal liabilities. Real-time monitoring and recording of temperature and humidity data helps medical institutions to promptly discover and deal with potential problems and improve the efficiency and accuracy of drug management. Step S3: transmitting the drug data in the medicine storage cabinet to the central processing system in real time through the communication module; Current inventory level = initial inventory + incoming inventory - outgoing inventory; calculate the safety inventory of the medicine storage cabinet. The safety inventory calculation steps are as follows: ; in, represents the safety stock, represents the safety factor, represents the replenishment cycle, Indicates the total number of days. represents the outbound quantity on the i-th day, represents the inventory quantity on the i-th day; When the drug inventory is lower than the safety stock level, the system can issue a replenishment notice in time to avoid drug shortages. Through accurate inventory management, drug waste due to expiration or damage can be reduced. Automated data transmission reduces the workload of manual inventory and record keeping, and improves work efficiency. The central processing system can analyze the consumption pattern of drugs, help optimize inventory structure and procurement plans, monitor drug inventory in real time, ensure the continuity of drug supply, and reduce the risk of medical accidents. By reducing unnecessary inventory and optimizing procurement, the cost of drug storage and management can be reduced; Step S4: The real-time monitoring system can display the real-time status of the storage and access of the medicines in the medicine storage cabinet and the environmental conditions, and calculate the number of days in advance of the validity period warning of the medicines. The steps for calculating the number of days in advance of the validity period warning are as follows: ; in, Indicates the number of days in advance of the effective warning period. Indicates the expiration date of the drug. represents the replenishment cycle, Indicates the total number of days. represents the outbound quantity on the i-th day, represents the inventory quantity on the i-th day, Safety stock days, represents the safety factor; Through real-time monitoring, abnormal changes in the drug storage environment can be discovered in time, such as temperature and humidity exceeding the safe range, so that measures can be taken to protect the drugs from damage. The monitoring system can record each access to the drugs, which helps to track the flow of drugs and reduce the risk of drug loss or theft. Real-time data updates help managers quickly understand the drug inventory and drug expiration dates, facilitate timely replenishment of inventory, optimize drug management processes, ensure that drugs are stored in a suitable environment, extend the expiration date of drugs, and ensure patient medication safety. Many drug management regulations require monitoring of the drug storage environment. The real-time monitoring system helps medical institutions or pharmacies comply with relevant regulations and avoid legal liability. The storage environment data collected over a long period of time can be used to analyze drug storage trends and provide a scientific basis for drug procurement and storage strategies. Step S5: Through the threshold set in the early warning unit, when the quantity of medicines is lower than the safety stock or the environmental conditions exceed the preset range, the system automatically issues an alarm; and calculates the intelligent replenishment recommendation quantity. The intelligent replenishment recommendation quantity calculation steps are as follows: ; in, Indicates the recommended quantity for intelligent replenishment. Indicates the total number of days. represents the outbound quantity on the i-th day, represents the inventory quantity on the i-th day, represents the replenishment cycle, represents the safety stock, Indicates the current inventory level, represents the seasonal fluctuation coefficient, represents the prediction error coefficient; By monitoring inventory levels, the system can provide timely intelligent replenishment recommendations when the number of drugs falls below the safety inventory level, remind replenishment, avoid drug shortages, and ensure that patients can continue to receive the treatment they need. Environmental conditions such as temperature and humidity are crucial to the stability and effectiveness of drugs. The system can monitor these conditions and issue alarms in abnormal situations, which helps prevent drugs from deteriorating due to improper environment. Automated early warning reduces the need for manual inspection of inventory and environmental conditions, allowing staff to focus their time and energy on other important tasks. Timely early warning can prevent economic losses caused by expired or damaged drugs, while avoiding the loss of potential sales revenue due to drug shortages. Many drug management regulations require monitoring of the drug storage environment. Automatic early warning systems help ensure compliance with these regulations and avoid legal risks and fines due to violations. Ensuring that drugs are always in appropriate storage conditions can reduce the risk of patients using improper drugs, thereby improving patient safety. Early warning systems usually record alarm events and response measures to provide data support for drug management, facilitating subsequent analysis and improvement of drug management processes; Step S6: Use RFID technology or biometric technology to authenticate users, set different access rights according to user roles (such as administrators, doctors, nurses, and patients), and ensure that only authorized personnel can access sensitive data and areas through accurate identity authentication, thereby reducing the risk of unauthorized access. Automated identity authentication processes can reduce the need for manual review, speed up access, and improve work efficiency. The uniqueness and non-replicability of biometric technology ensure the accuracy of identity authentication and reduce the possibility of identity fraud. The system can record each access and operation for easy follow-up and auditing, which helps with responsibility tracing and management. Different access rights are set according to user roles, and customized services and information can be provided for different roles, improving service quality and user experience, meeting the strict requirements of the healthcare industry for data protection and privacy, ensuring compliance, and reducing security vulnerabilities and improving efficiency, which can reduce potential losses and additional costs caused by data leakage or improper operations; Step S7: The system records the time, user identity, and operation type of each access for auditing and security monitoring. Detailed records help auditors track and verify activities within the system, ensuring that all operations are traceable and convenient for subsequent review. By monitoring access patterns and operation types, abnormal behaviors or potential security threats can be discovered in a timely manner, so that preventive measures can be taken to ensure compliance with relevant laws and regulations on data access and processing, provide necessary compliance evidence, analyze user behavior patterns, optimize system use, and improve user experience. When system errors or performance problems occur, these records can serve as an important basis for diagnosing problems, help review and adjust user permissions, and ensure data security and the effectiveness of access control. Through monitoring and recording, unauthorized access attempts can be quickly identified and responded to, protecting system and data security; Step S8: Regularly conduct security audits on the system to ensure that there are no security loopholes. The system monitors abnormal behaviors in real time, such as illegal intrusions and unauthorized access, and issues alarms in a timely manner; Safety audit = regular audit cycle / total audit cycle; Safety audit coverage = number of audit inspection items / total number of inspection items; Abnormal behavior detection threshold = statistical parameters of normal access mode ± defined deviation range. Through regular security audits, security vulnerabilities in the system can be discovered in time, so that measures can be taken to repair them and prevent potential security threats. Regular security audits help improve the overall security of the system and ensure that the system can resist various security attacks, such as illegal intrusion and unauthorized access. Through real-time monitoring of the system, abnormal behaviors, such as illegal intrusion and unauthorized access, can be discovered in time, and countermeasures can be taken through timely alarms. By calculating the security audit coverage rate, the comprehensiveness and effectiveness of the audit work can be evaluated, thereby optimizing the audit process and improving audit efficiency. By setting abnormal behavior detection thresholds, behaviors outside the normal access mode can be effectively identified, reducing the risks and losses caused by security incidents. Regular security audits and effective abnormal behavior monitoring can enhance users' trust in the system and ensure the security of user data and privacy. Regular security audits help ensure that the system complies with relevant laws, regulations and industry standards, and avoid legal liabilities and economic losses caused by violations. Step S9: Perform unit testing, integration testing, and system testing on the system to ensure that all parts work together correctly, deploy the system to the actual environment, and perform on-site testing and adjustments. Provide user training and documentation to ensure that users can use the system correctly. Performing unit testing, integration testing, and system testing can help to discover and fix software defects early and improve software quality. Deploying the system to the actual environment and performing on-site testing and adjustments can ensure that the system runs stably under real working conditions. Providing user training and documentation can help users quickly master how to use the system, reduce operating errors, and improve work efficiency. It helps to ensure the reliability, stability, and ease of use of software products, thereby improving user satisfaction and the success rate of software projects.

[0024] Further: The steps for calculating the safety stock level of the medicine cabinet are as follows: The steps to calculate the current inventory of the medicine cabinet are as follows: current_inventory = ; The steps for calculating the safety stock of medicine cabinets are as follows: safety_stock_levels ; The steps to update the inventory of medicine cabinets are as follows: defupdate_inventory(inventory, safety_stock): for drug, stock inventory, items; The steps for calculating the difference between the current inventory and the safety stock are as follows: deficit = safety_stock[drug] - stockif deficit > 0; If the current inventory is lower than the safety stock, print the inventory quantity that needs to be replenished print(f "The safety stock of drug {drug} is insufficient and needs to be replenished {deficit} units"); If the current stock is greater than or equal to the safety stock, print the current status print(f "The stock of drug {drug} is safe, and the current stock is {stock} units").

[0025] The above description enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent medicine storage cabinet monitoring system based on Internet of Things technology, comprising a medicine storage cabinet, characterized in that: The medicine storage cabinet is signal-connected to an Internet of Things device layer, the Internet of Things device layer is network-connected to a network communication layer, the network communication layer is data-connected to a data processing layer, the data processing layer is data-connected to a user identity authentication module, the user identity authentication module is signal-connected to an access recording unit, and the access recording unit is data-connected to a data encryption module.

2. According to claim 1, the intelligent medicine cabinet monitoring system based on Internet of Things technology is characterized by: The medicine storage cabinet is signal-connected to a plurality of storage units, each of the plurality of storage units is signal-connected to a bar code scanner, the bar code scanner is signal-connected to a central processing system, a temperature and humidity sensor is fixedly connected to the interior of the medicine storage cabinet, the central processing system is signal-connected to a communication module, and the communication module is signal-connected to a real-time monitoring system.

3. According to claim 1, the intelligent medicine cabinet monitoring system based on Internet of Things technology is characterized by: The access record unit includes a security audit unit, the security audit unit signal is connected to a data encryption module, the data encryption module is data connected to an anomaly detection module, the data access record unit signal is connected to an access control algorithm module, and the access control algorithm module signal is connected to a security protocol module.

4. According to claim 2, the intelligent medicine cabinet monitoring system based on Internet of Things technology is characterized by: The central processing system is data-connected to the network communication layer, and the central processing system is data-connected to the data processing layer.

5. According to claim 1, the intelligent medicine cabinet monitoring system based on Internet of Things technology is characterized by: The Internet of Things device layer includes an RFID reader / writer, and the RFID reader / writer is data-connected to a barcode scanner.

6. The intelligent medicine cabinet monitoring system based on Internet of Things technology according to claim 2 is characterized in that: The real-time monitoring system signal is connected with an early warning unit, and the real-time monitoring system data is connected with a data access recording unit.

7. The intelligent medicine cabinet monitoring system based on Internet of Things technology according to claim 1 is characterized in that: The following steps are involved: Step S1: barcode scanners in multiple storage units in the medicine storage cabinet are used to identify and track medicines, and can automatically scan RFID tags on medicines and upload information to a central processing system; Step S2: Monitor the temperature and humidity in the medicine storage cabinet through the temperature and humidity sensor to ensure that the medicine storage environment meets the requirements, and the temperature and humidity range = minimum allowable value ≤ real-time temperature and humidity ≤ maximum allowable value; Step S3: transmitting the drug data in the medicine storage cabinet to the central processing system in real time through the communication module; Current inventory level = initial inventory + incoming inventory - outgoing inventory; calculate the safety inventory of the medicine storage cabinet. The safety inventory calculation steps are as follows: ； in, represents the safety stock, represents the safety factor, represents the replenishment cycle, Indicates the total number of days. represents the outbound quantity on the i-th day, represents the inventory quantity on the i-th day; Step S4: The real-time monitoring system can display the real-time status of the storage and access of the medicines in the medicine storage cabinet and the environmental conditions, and calculate the number of days in advance of the validity period warning of the medicines. The steps for calculating the number of days in advance of the validity period warning are as follows: ； in, Indicates the number of days in advance of the effective warning period. Indicates the expiration date of the drug. represents the replenishment cycle, Indicates the total number of days. represents the outbound quantity on the i-th day, represents the inventory quantity on the i-th day, Safety stock days, represents the safety factor; Step S5: Through the threshold set in the early warning unit, when the quantity of medicines is lower than the safety stock or the environmental conditions exceed the preset range, the system automatically issues an alarm; and calculates the intelligent replenishment recommendation quantity. The intelligent replenishment recommendation quantity calculation steps are as follows: ； in, Indicates the recommended quantity for intelligent replenishment. Indicates the total number of days. represents the outbound quantity on the i-th day, represents the inventory quantity on the i-th day, represents the replenishment cycle, represents the safety stock, Indicates the current inventory level, represents the seasonal fluctuation coefficient, represents the prediction error coefficient; Step S6: Using RFID technology or biometric technology to authenticate the user, and setting different access rights according to the user role (such as administrator, doctor, nurse, patient); Step S7: The system records the time, user identity, and operation type of each access for auditing and security monitoring; Step S8: Regularly conduct security audits on the system to ensure that there are no security loopholes. The system monitors abnormal behaviors in real time, such as illegal intrusions and unauthorized access, and issues alarms in a timely manner; Safety audit = regular audit cycle / total audit cycle; Safety audit coverage = number of audit inspection items / total number of inspection items; Abnormal behavior detection threshold = statistical parameters of normal access patterns ± defined deviation range; Step S9: Perform unit testing, integration testing, and system testing on the system to ensure that all parts work together correctly, deploy the system to the actual environment, and perform on-site testing and adjustments, provide user training and documentation, and ensure that users can use the system correctly.

8. The intelligent medicine cabinet monitoring system based on Internet of Things technology according to claim 1 is characterized in that: The steps for calculating the safety stock level of the medicine cabinet are as follows: The steps for calculating the current inventory of the medicine cabinet are as follows: current_inventory = ; The steps for calculating the safety inventory of the medicine cabinet are as follows: safety_stock_levels ; The steps for updating the inventory of the medicine cabinet are as follows: defupdate_inventory(inventory, safety_stock): for drug, stock inventory, items; The steps for calculating the difference between the current inventory and the safety stock are as follows: deficit = safety_stock[drug] - stockif deficit > 0; If the current inventory is lower than the safety stock, print the amount of inventory that needs to be replenished print(f"The safety stock of drug {drug} is insufficient and needs to be replenished {deficit} units"); If the current stock is greater than or equal to the safety stock, print the current status print(f"The stock safety of drug {drug} is {stock} units").

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