A remote control method and system for intelligent IoT storage cabinet

Abstract

The present invention relates to the field of intelligent control technology, and specifically to a remote control method and system for an intelligent IoT storage cabinet, comprising a communication module, a sensor module, a data processing module, a scheduling control module, a remote control module, a security management module and an energy consumption management module, wherein the communication module is used to establish a connection between the storage cabinet and a remote server, supports the registration and encrypted transmission of device information, the sensor module collects environmental and operating data in real time, the data processing module parses the data and performs abnormality detection, the scheduling control module optimizes the collaborative control of multiple storage cabinets based on a preset strategy, the remote control module implements the secure execution of user instructions through identity authentication, the security management module monitors data transmission and device operation, and the energy consumption management module dynamically adjusts the device working mode. The present invention improves the security of data transmission, the intelligence of device operation and the efficiency of energy consumption management, and is suitable for the management of intelligent IoT storage cabinets in various scenarios.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a remote control method and system for an intelligent IoT storage cabinet. Background Art

[0002] In the context of the rapid development of IoT technology, smart IoT storage cabinets are widely used in logistics, medical care, warehousing and other fields as a new storage management solution. These storage cabinets can achieve remote monitoring and management through IoT technology, providing efficient and secure storage services. However, with the diversification of application scenarios and the increase in demand, smart IoT storage cabinet systems are facing increasingly complex management and control challenges, including how to ensure the security of data transmission, the stable operation of equipment, and the effective management of energy consumption, all of which put forward higher requirements on the intelligence level and overall performance of the system.

[0003] Although the smart IoT storage cabinet system in the prior art can meet the basic remote monitoring and control needs to a certain extent, there are still many technical problems. First, the security of data transmission is insufficient and is vulnerable to unauthorized operations or data tampering, which affects the security and reliability of the system. Secondly, due to the lack of intelligent scheduling and management mechanisms, it is difficult for multiple storage cabinets to achieve the optimal allocation of resources when working together, resulting in low operating efficiency and excessive energy consumption. In addition, the existing system has limited capabilities in energy consumption management and cannot dynamically adjust the working mode according to actual usage, resulting in energy waste and increased operating costs. Summary of the invention

[0004] The present invention provides a remote control method and system for an intelligent IoT storage cabinet.

[0005] A remote control method for an intelligent IoT storage cabinet comprises the following steps:

[0006] S1, system initialization and device registration: establish a connection with the remote server through the communication module installed in the smart IoT storage cabinet, and register the data of the storage cabinet to the remote server. The data of the storage cabinet includes hardware information, geographic location and operation authority. During the registration process, an encryption algorithm is used to encrypt the transmitted data to ensure information security, and user identity and operation authority information are set to provide a basis for subsequent control operations;

[0007] S2, real-time monitoring and data collection: using a variety of sensors installed in the storage cabinet (such as temperature and humidity sensors, infrared sensors, access control sensors, etc.), real-time collection of environmental data and operating status data inside and outside the storage cabinet, and real-time transmission of the collected environmental data and operating status data to the remote server through the communication module. The remote server analyzes and stores the collected environmental data and operating status data, and detects abnormal conditions through the data analysis model and sends alarm information;

[0008] S3, multi-device collaborative control: The remote server uniformly dispatches and controls multiple smart IoT storage cabinets based on the preset control strategy and the collected environmental data and operation status data;

[0009] S4, issuing and executing remote control instructions: The user sends control instructions to the server through a remote control terminal (such as a mobile phone APP or a computer client). After receiving the instructions, the server verifies the user's identity and operation authority and sends the instructions to the target storage cabinet. After receiving the instructions, the storage cabinet performs the corresponding operation and feeds back the operation results to the server, which then notifies the user of the results.

[0010] S5, security management and exception handling: During the entire remote control process, the server monitors data transmission and device operation in real time, and handles abnormal situations, including unauthorized operation attempts and device failure alarms. The server notifies the user of abnormal information in real time and automatically handles it according to the preset emergency handling plan or waits for further instructions from the user;

[0011] S6, Energy consumption optimization and energy-saving management: Through real-time monitoring and analysis of the energy consumption data of the smart IoT storage cabinet, the server dynamically adjusts the working mode of the equipment according to the equipment operating status and external environmental factors, such as reducing the power consumption of the equipment during non-peak hours, or automatically entering the energy-saving mode when the storage cabinet is idle, so as to minimize energy consumption.

[0012] Optionally, the S1 specifically includes:

[0013] S11, communication module initialization: activating the communication module installed in the smart IoT storage cabinet to establish an initial connection with the remote server, detecting the working status of the communication module and verifying its hardware information, including module model, communication protocol and encryption standard;

[0014] S12, device information collection and registration: collect device information of the storage cabinet, including hardware information, geographic location and preset operation permissions, package the device information into a device information data packet, and transmit it to the remote server through the communication module. The server registers the device according to the content of the data packet and generates a unique device ID;

[0015] S13, data encryption transmission: during the data transmission process, the device information data packet is encrypted using an encryption algorithm;

[0016] S14, user identity and authority setting: After the device registration is completed, the server automatically assigns or the administrator manually sets the user identity information and operation authority.

[0017] Optionally, the S2 specifically includes:

[0018] S21, sensor initialization and calibration: start various sensors installed in the storage cabinet and perform preliminary calibration on the sensors to ensure accurate readings in the initial state. The various sensors include temperature and humidity sensors, infrared sensors, and access control sensors. The calibration process includes zero point calibration and sensitivity adjustment.

[0019] S22, environmental data collection: real-time collection of environmental data inside and outside the storage cabinet, including temperature, humidity, infrared sensing status and access control status, formatting the environmental data in time series, and generating environmental data records;

[0020] S23, operation status data collection: real-time monitoring of the operation status of the storage cabinet, the operation status data includes the cabinet door opening status, power status and communication status, and generates an operation status data record, the operation status data and environmental data are collected and stored together;

[0021] S24, data transmission and analysis: The collected environmental data and operation status data are transmitted to the remote server in real time through the communication module. After receiving the data, the server analyzes the environmental data and operation status data using a preset data analysis algorithm;

[0022] S25, anomaly detection and alarm: After receiving and parsing the data, the server monitors the data in real time through the data analysis model to detect whether there are any abnormal conditions, such as excessive temperature, abnormal humidity, or illegal door opening. If an abnormality is detected, the server triggers the alarm mechanism, notifies the user through the user terminal, and records the abnormal event for further processing.

[0023] Optionally, the S3 specifically includes:

[0024] S31, device status summary: the remote server regularly summarizes the real-time environment data and operation status data of multiple smart IoT storage cabinets, and generates a device status summary table, which includes the real-time status and historical status of each storage cabinet;

[0025] S32, control strategy formulation: based on the data in the summary table and in combination with the preset control strategy, the server automatically generates a scheduling plan;

[0026] S33, execution of optimization scheduling algorithm: the server executes the optimization scheduling algorithm (weighted average scheduling or heuristic scheduling) to coordinate scheduling of multiple storage cabinets;

[0027] S34, equipment collaborative operation: After the scheduling plan is issued, multiple storage cabinets perform collaborative operations according to the assigned tasks.

[0028] Optionally, the S4 specifically includes:

[0029] S41, user command input: the user inputs a control command through a remote control terminal (such as a mobile phone APP or a computer client);

[0030] S42, identity authentication and authority check: after receiving the user's instruction, the server verifies the user's identity, and the verification method includes password, fingerprint or two-factor authentication. After the verification is passed, the server checks the user's operation authority to ensure that the user only performs operations within the scope of his authority;

[0031] S43, command parsing and issuing: After the user identity authentication and permission check are passed, the server parses the user command, generates the corresponding device operation command, and issues the operation command to the target storage cabinet through the communication module;

[0032] S44, device execution and feedback: After receiving the operation command, the storage cabinet executes the corresponding operation and feeds back the execution result to the server. After receiving the feedback information, the server notifies the user of the operation result.

[0033] Optionally, the S5 specifically includes:

[0034] S51, data transmission security monitoring: The server monitors the security of data transmission in real time and detects potential transmission errors, data loss or tampering;

[0035] S52, device operation security monitoring: During the device operation, the server monitors the legitimacy of the operation in real time, detects whether there are any unauthorized operation attempts or abnormal behaviors, and if any abnormal operation is found, terminates the operation and records the relevant logs;

[0036] S53, abnormal situation identification and response: the server identifies abnormal situations in equipment operation and environmental monitoring, such as equipment failure, illegal access, etc., through data analysis models and abnormality detection algorithms. When abnormal situations are detected, an alarm is triggered and abnormal events are recorded;

[0037] S54, exception handling and user notification: The server automatically handles the exception according to the preset emergency handling plan, such as restarting the device, restoring default settings or blocking illegal access, and notifies the user of the exception and handling results through the user terminal.

[0038] Optionally, the S6 specifically includes:

[0039] S61, real-time collection of energy consumption data: through the sensors and monitoring modules installed in the storage cabinet, the energy consumption data of the equipment is collected in real time, including power consumption, working hours and idle time, and an energy consumption data report is generated;

[0040] S62, energy consumption analysis and model building: the server analyzes the energy consumption data collected in real time and builds an energy consumption analysis model;

[0041] S63, dynamic adjustment of working mode: based on the energy consumption analysis model, the server dynamically adjusts the working mode of the device to reduce the power consumption of the device during off-peak hours;

[0042] S64, energy consumption optimization feedback: After dynamically adjusting the working mode, the server continues to monitor energy consumption changes, compares and analyzes the optimized energy consumption data with the prediction results of the energy consumption analysis model, and generates an energy consumption optimization report.

[0043] Optionally, the regression coefficient of the energy consumption analysis model is estimated by the least squares method and is calculated as:

[0044] ;

[0045] in, is the influencing factor matrix, is the energy consumption observation vector, is the estimated regression coefficient vector.

[0046] A remote control system for a smart IoT storage cabinet, used to implement the above-mentioned remote control method for a smart IoT storage cabinet, includes the following modules:

[0047] Communication module: used to establish a connection between the smart IoT storage cabinet and the remote server, supports data encryption transmission, and is responsible for the registration and management of device information, geographic location, and operation permissions;

[0048] Sensor module: including temperature and humidity sensors, infrared sensors, and access control sensors, which are used to collect environmental data and operation status data inside and outside the storage cabinet in real time, and transmit the collected data to the remote server;

[0049] Data processing module: receives and analyzes data from the sensor module, performs real-time monitoring and abnormality detection on environmental data and operating status data, triggers alarms and stores analyzed data;

[0050] Scheduling control module: Based on the preset control strategy and the data collected by the sensor module, multiple smart IoT storage cabinets are uniformly scheduled and coordinated, and the optimized scheduling algorithm is executed to achieve a balance between energy consumption and work efficiency;

[0051] Remote control module: The user sends instructions to the server through the remote control terminal. After the server verifies the user's identity and authority, it sends the instructions to the target storage cabinet and receives and feeds back the operation results.

[0052] Security management module: responsible for monitoring the security of data transmission and the legality of equipment operations, and identifying and handling abnormal situations in real time;

[0053] Energy consumption management module: real-time monitoring and analysis of the energy consumption of storage cabinets, dynamic adjustment of equipment working mode, generation of energy consumption optimization reports, and provision of energy-saving management suggestions.

[0054] Beneficial effects of the present invention:

[0055] The present invention ensures the confidentiality and integrity of data and the legitimacy of operations during device registration, transmission and execution of remote control instructions through the encrypted transmission and user identity authentication mechanism of the communication module. The security management module further monitors data transmission and device operation in real time, promptly identifies and handles abnormal situations, such as unauthorized operation attempts and data tampering, significantly improving the overall security and reliability of the system.

[0056] The present invention realizes real-time monitoring and accurate collection of environmental data and operating status inside and outside the storage cabinet through the collaborative work of the sensor module and the data processing module. Based on real-time data and preset strategies, the scheduling control module adopts an optimized scheduling algorithm to intelligently perform unified scheduling and collaborative control of multiple storage cabinets to ensure efficient operation and energy consumption balance of each storage cabinet. This intelligent scheduling mechanism not only improves the overall operating efficiency of the system, but also can dynamically adjust resource allocation to meet the needs of different scenarios.

[0057] The present invention, through the energy consumption management module, the system can monitor and analyze the energy consumption data of the storage cabinet in real time, and dynamically adjust the working mode according to the operating status of the equipment and external environmental factors, such as reducing the power consumption of the equipment during non-peak hours or automatically entering the energy-saving mode. This not only effectively reduces the overall energy consumption of the system, but also meets the requirements of modern energy conservation and environmental protection, helping users significantly reduce operating costs and extend the service life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0059] Figure 1 A schematic diagram of a method flow chart of an embodiment of the present invention;

[0060] Figure 2 Schematic diagram of a system flow of an embodiment of the present invention. DETAILED DESCRIPTION

[0061] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0062] It should be noted that the references to "one embodiment", "embodiment", "exemplary embodiments", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0063] In general, a term can be understood, at least in part, from its use in context. For example, depending, at least in part, on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey an exclusive set of factors, but can instead, depending, at least in part, on the context, allow for the presence of other factors that are not necessarily explicitly described.

[0064] like Figure 1 As shown, a remote control method for a smart IoT storage cabinet includes the following steps:

[0065] S1, system initialization and device registration: establish a connection with the remote server through the communication module installed in the smart IoT storage cabinet, and register the data of the storage cabinet to the remote server. The data of the storage cabinet includes hardware information, geographic location and operation authority. During the registration process, an encryption algorithm is used to encrypt the transmitted data to ensure information security, and user identity and operation authority information are set to provide a basis for subsequent control operations;

[0066] S2, real-time monitoring and data collection: using a variety of sensors installed in the storage cabinet (such as temperature and humidity sensors, infrared sensors, access control sensors, etc.), real-time collection of environmental data and operating status data inside and outside the storage cabinet, and real-time transmission of the collected environmental data and operating status data to the remote server through the communication module. The remote server analyzes and stores the collected environmental data and operating status data, and detects abnormal conditions through the data analysis model and sends alarm information;

[0067] S3, multi-device collaborative control: The remote server uniformly dispatches and controls multiple smart IoT storage cabinets according to the preset control strategy and the collected environmental data and operation status data. The optimized scheduling algorithm ensures the collaborative work of multiple storage cabinets to achieve the best operating efficiency and energy consumption balance. During the control process, individual storage cabinets can be operated or adjusted separately according to actual needs.

[0068] S4, issuing and executing remote control instructions: The user sends control instructions to the server through a remote control terminal (such as a mobile phone APP or a computer client). After receiving the instructions, the server verifies the user's identity and operation authority and sends the instructions to the target storage cabinet. After receiving the instructions, the storage cabinet performs the corresponding operation and feeds back the operation results to the server, which then notifies the user of the results.

[0069] S5, security management and exception handling: During the entire remote control process, the server monitors data transmission and device operation in real time, and handles abnormal situations, including unauthorized operation attempts and device failure alarms. The server notifies the user of abnormal information in real time and automatically handles it according to the preset emergency handling plan or waits for further instructions from the user;

[0070] S6, Energy consumption optimization and energy-saving management: Through real-time monitoring and analysis of the energy consumption data of the smart IoT storage cabinet, the server dynamically adjusts the working mode of the equipment according to the equipment operating status and external environmental factors, such as reducing the power consumption of the equipment during non-peak hours, or automatically entering the energy-saving mode when the storage cabinet is idle, so as to minimize energy consumption.

[0071] S1 specifically includes:

[0072] S11, communication module initialization: activating the communication module installed in the smart IoT storage cabinet to establish an initial connection with the remote server, detecting the working status of the communication module and verifying its hardware information, including module model, communication protocol and encryption standard;

[0073] S12, device information collection and registration: collect device information of the storage cabinet, including hardware information, geographic location and preset operation permissions, package the device information into a device information data packet, and transmit it to the remote server through the communication module. The server registers the device according to the content of the data packet and generates a unique device ID;

[0074] S13, data encryption transmission: During the data transmission process, the device information data packet is encrypted using an encryption algorithm to ensure the confidentiality and integrity of the transmitted data. The encryption algorithms include AES and RSA, and ensure that the data is not tampered with during the transmission process;

[0075] S14, user identity and authority setting: after the device registration is completed, the server automatically assigns or the administrator manually sets the user identity information and operation authority. The user identity information includes the user name, password and authority level. The operation authority controls the user's access to the storage cabinet and the scope of operation. This information is encrypted and stored in the server to provide a basis for subsequent control operations.

[0076] Through the specific steps of communication module initialization, device information collection and registration, data encryption transmission, and user identity and permission setting, the security, reliability and data integrity of the smart IoT storage cabinet during system initialization and device registration are ensured, while laying a solid foundation for subsequent remote control operations and improving the system's security and management flexibility.

[0077] S2 specifically includes:

[0078] S21, sensor initialization and calibration: start various sensors installed in the storage cabinet and perform preliminary calibration on the sensors to ensure accurate readings in the initial state. The various sensors include temperature and humidity sensors, infrared sensors, and access control sensors. The calibration process includes zero point calibration and sensitivity adjustment.

[0079] S22, environmental data collection: real-time collection of environmental data inside and outside the storage cabinet, including temperature, humidity, infrared sensing status and access control status, formatting the environmental data in time series, and generating environmental data records;

[0080] S23, operation status data collection: real-time monitoring of the operation status of the storage cabinet, the operation status data includes the cabinet door opening status, power status and communication status, and generates an operation status data record, the operation status data and environmental data are collected and stored together;

[0081] S24, data transmission and analysis: The collected environmental data and operation status data are transmitted to the remote server in real time through the communication module. After receiving the data, the server uses a preset data analysis algorithm to analyze the environmental data and operation status data, and stores the analyzed data in the database for subsequent analysis and processing;

[0082] S25, abnormality detection and alarm: after receiving and parsing the data, the server monitors the data in real time through the data analysis model to detect whether there are abnormal conditions, such as excessive temperature, abnormal humidity, or illegal door opening. If an abnormality is detected, the server triggers the alarm mechanism, notifies the user through the user terminal, and records the abnormal event for further processing;

[0083] Through sensor initialization and calibration, real-time collection of environmental data and operating status data, data transmission and analysis, as well as anomaly detection and alarm mechanisms, the accuracy and timeliness of the system in real-time monitoring and data collection are ensured, and abnormal situations can be quickly identified and responded to, thereby improving the safety and stability of the system.

[0084] S3 specifically includes:

[0085] S31, device status summary: the remote server regularly summarizes the real-time environment data and operation status data of multiple smart IoT storage cabinets, and generates a device status summary table, which includes the real-time status and historical status of each storage cabinet;

[0086] S32, control strategy formulation: Based on the data in the summary table and the preset control strategy, the server automatically generates a scheduling plan. The control strategy is based on the working status, priority, historical energy consumption and current operation requirements of the equipment to ensure that the collaborative work between the equipment achieves the best efficiency;

[0087] S33, execution of optimization scheduling algorithm: The server executes the optimization scheduling algorithm (weighted average scheduling or heuristic scheduling) to coordinate the scheduling of multiple storage cabinets. The algorithm makes the best allocation according to the device status and current task requirements, giving priority to devices with low energy consumption and high work efficiency to participate in the task;

[0088] S34, equipment collaborative operation: after the scheduling plan is issued, multiple storage cabinets perform collaborative operations according to the assigned tasks. The server monitors the execution status in real time and dynamically adjusts the scheduling strategy according to the actual operation status to deal with emergencies or optimize the operation process;

[0089] Through device status aggregation, control strategy formulation, optimized scheduling algorithm execution and device collaborative operation, the collaborative work efficiency and energy consumption balance of multiple smart IoT storage cabinets in complex environments are guaranteed, the optimal allocation of resources and efficient operation of equipment are achieved, and the overall performance of the system is improved.

[0090] S4 specifically includes:

[0091] S41, user command input: the user inputs control commands through a remote control terminal (such as a mobile phone APP or a computer client), and the command types include opening or closing a storage cabinet, adjusting a device working mode, and requesting a device status report;

[0092] S42, identity authentication and authority check: after receiving the user's instruction, the server verifies the user's identity, and the verification method includes password, fingerprint or two-factor authentication. After the verification is passed, the server checks the user's operation authority to ensure that the user only performs operations within the scope of his authority;

[0093] S43, command parsing and issuing: After the user identity verification and permission check are passed, the server parses the user command, generates the corresponding device operation command, and issues the operation command to the target storage cabinet through the communication module to ensure the integrity and correctness of the command transmission;

[0094] S44, device execution and feedback: after receiving the operation command, the storage cabinet performs the corresponding operation, such as opening the door, adjusting the temperature and humidity, or switching the working mode, and feeds back the execution result to the server. After receiving the feedback information, the server notifies the user of the operation result and provides an operation log and status report when necessary;

[0095] Through user command input, identity authentication and permission checking, command parsing and issuance, as well as device execution and feedback, the safe issuance and accurate execution of remote control commands are ensured, which improves the system's operational security and user experience, while effectively preventing unauthorized operations.

[0096] S5 specifically includes:

[0097] S51, data transmission security monitoring: The server monitors the security of data transmission in real time, detects potential transmission errors, data loss or tampering, and uses encryption algorithms to protect data transmission to ensure the integrity and confidentiality of transmitted data;

[0098] S52, device operation security monitoring: During the device operation, the server monitors the legitimacy of the operation in real time, detects whether there are any unauthorized operation attempts or abnormal behaviors, and if any abnormal operation is found, terminates the operation and records the relevant logs;

[0099] S53, abnormal situation identification and response: the server identifies abnormal situations in equipment operation and environmental monitoring, such as equipment failure, illegal access, etc., through data analysis models and abnormality detection algorithms. When abnormal situations are detected, an alarm is triggered and abnormal events are recorded;

[0100] S54, exception handling and user notification: the server automatically handles the exception according to the preset emergency handling plan, such as restarting the device, restoring the default settings or blocking illegal access, and notifies the user of the exception and the handling result through the user terminal, and the user can also intervene through the terminal for further operation;

[0101] Through data transmission security monitoring, equipment operation security monitoring, abnormal situation identification and response, as well as exception handling and user notification, the system's security during remote control and its ability to respond quickly to abnormal situations are comprehensively improved, ensuring the system's continued stable operation in harsh environments.

[0102] S6 specifically includes:

[0103] S61, real-time collection of energy consumption data: through the sensors and monitoring modules installed in the storage cabinet, the energy consumption data of the equipment is collected in real time, including power consumption, working hours and idle time, and an energy consumption data report is generated;

[0104] S62, energy consumption analysis and model building: The server analyzes the energy consumption data collected in real time and builds an energy consumption analysis model. The model is based on the regression analysis of historical data and is expressed as:

[0105] ;

[0106] in, Indicates time Energy consumption at any time, Indicates The value of the factors that affect the is the regression coefficient, is the error term;

[0107] S63, dynamic adjustment of working mode: based on the energy consumption analysis model, the server dynamically adjusts the working mode of the device to reduce the power consumption of the device during off-peak hours, such as entering a low power mode or an idle mode, to reduce unnecessary energy consumption;

[0108] S64, energy consumption optimization feedback: After dynamically adjusting the working mode, the server continues to monitor energy consumption changes, compares and analyzes the optimized energy consumption data with the predicted results of the energy consumption analysis model, generates an energy consumption optimization report, feeds back the optimization results to the user, and serves as a reference for subsequent adjustments;

[0109] Through real-time collection of energy consumption data, energy consumption analysis and model building, dynamic adjustment of working modes and energy consumption optimization feedback, refined energy consumption management of smart IoT storage cabinets is achieved, which effectively reduces energy consumption. At the same time, dynamic adjustment improves the operating efficiency of the equipment, meeting the needs of energy conservation and environmental protection.

[0110] The regression coefficient of the energy consumption analysis model is estimated by the least squares method and is calculated as:

[0111] ;

[0112] in, is the influencing factor matrix, is the energy consumption observation vector, is the estimated regression coefficient vector.

[0113] like Figure 2 As shown, a remote control system for a smart IoT storage cabinet is used to implement the above-mentioned remote control method for a smart IoT storage cabinet, and includes the following modules:

[0114] Communication module: used to establish a connection between the smart IoT storage cabinet and the remote server, supports data encryption transmission, and is responsible for the registration and management of device information, geographic location, and operation permissions;

[0115] Sensor module: including temperature and humidity sensors, infrared sensors, and access control sensors, which are used to collect environmental data and operation status data inside and outside the storage cabinet in real time, and transmit the collected data to the remote server;

[0116] Data processing module: receives and analyzes data from the sensor module, performs real-time monitoring and abnormality detection on environmental data and operating status data, triggers alarms and stores analyzed data;

[0117] Scheduling control module: Based on the preset control strategy and the data collected by the sensor module, multiple smart IoT storage cabinets are uniformly scheduled and coordinated, and the optimized scheduling algorithm is executed to achieve a balance between energy consumption and work efficiency;

[0118] Remote control module: The user sends instructions to the server through the remote control terminal. After the server verifies the user's identity and authority, it sends the instructions to the target storage cabinet and receives and feeds back the operation results.

[0119] Security management module: responsible for monitoring the security of data transmission and the legality of equipment operations, and identifying and handling abnormal situations in real time;

[0120] Energy consumption management module: real-time monitoring and analysis of the energy consumption of storage cabinets, dynamic adjustment of equipment working mode, generation of energy consumption optimization reports, and provision of energy-saving management suggestions.

[0121] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0122] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A remote control method for an intelligent IoT storage cabinet, characterized in that: The following steps are involved: S1, system initialization and device registration: establish a connection with the remote server through the communication module installed in the smart IoT storage cabinet, and register the data of the storage cabinet to the remote server. The data of the storage cabinet includes hardware information, geographical location and operation authority. During the registration process, an encryption algorithm is used to encrypt the transmitted data, and the user identity and operation authority information are set; S2, real-time monitoring and data collection: using a variety of sensors installed in the storage cabinet, real-time collection of environmental data and operating status data inside and outside the storage cabinet, and real-time transmission of the collected environmental data and operating status data to the remote server through the communication module. The remote server analyzes and stores the collected environmental data and operating status data, and detects abnormal conditions through the data analysis model and sends alarm information; S3, multi-device collaborative control: The remote server uniformly dispatches and controls multiple smart IoT storage cabinets based on the preset control strategy and the collected environmental data and operation status data; S4, issuing and executing remote control instructions: The user sends a control instruction to the server through the remote control terminal. After receiving the instruction, the server verifies the user's identity and operation authority and sends the instruction to the target storage cabinet. After receiving the instruction, the storage cabinet performs the corresponding operation and feeds back the operation result to the server, which then notifies the user of the result. S5, security management and exception handling: During the entire remote control process, the server monitors data transmission and device operation in real time, and handles abnormal situations, including unauthorized operation attempts and device failure alarms. The server notifies the user of abnormal information in real time and automatically handles it according to the preset emergency handling plan or waits for further instructions from the user; S6, energy consumption optimization and energy-saving management: Through real-time monitoring and analysis of the energy consumption data of the smart IoT storage cabinet, the server dynamically adjusts the working mode of the equipment according to the equipment operating status and external environmental factors to minimize energy consumption.

2. A remote control method for a smart IoT storage cabinet according to claim 1, characterized in that: The S1 specifically includes: S11, communication module initialization: activating the communication module installed in the smart IoT storage cabinet to establish an initial connection with the remote server, detecting the working status of the communication module and verifying its hardware information, including module model, communication protocol and encryption standard; S12, device information collection and registration: collect device information of the storage cabinet, including hardware information, geographic location and preset operation permissions, package the device information into a device information data packet, and transmit it to the remote server through the communication module. The server registers the device according to the content of the data packet and generates a unique device ID; S13, data encryption transmission: during the data transmission process, the device information data packet is encrypted using an encryption algorithm; S14, user identity and authority setting: After the device registration is completed, the server automatically assigns or the administrator manually sets the user identity information and operation authority.

3. A remote control method for a smart IoT storage cabinet according to claim 2, characterized in that: The S2 specifically includes: S21, sensor initialization and calibration: start various sensors installed in the storage cabinet and perform preliminary calibration on the sensors. The various sensors include temperature and humidity sensors, infrared sensors, and access control sensors. The calibration process includes zero point calibration and sensitivity adjustment. S22, environmental data collection: real-time collection of environmental data inside and outside the storage cabinet, including temperature, humidity, infrared sensing status and access control status, formatting the environmental data in time series, and generating environmental data records; S23, operation status data collection: real-time monitoring of the operation status of the storage cabinet, the operation status data includes the cabinet door opening status, power supply status and communication status, and generating operation status data records; S24, data transmission and analysis: The collected environmental data and operation status data are transmitted to the remote server in real time through the communication module. After receiving the data, the server analyzes the environmental data and operation status data using a preset data analysis algorithm; S25, anomaly detection and alarm: After receiving and parsing the data, the server monitors the data in real time through the data analysis model to detect whether there are any abnormal situations. If an abnormality is detected, the server triggers the alarm mechanism, notifies the user through the user terminal, and records the abnormal event for further processing.

4. A remote control method for a smart IoT storage cabinet according to claim 3, characterized in that: The S3 specifically includes: S31, device status summary: the remote server regularly summarizes the real-time environment data and operation status data of multiple smart IoT storage cabinets, and generates a device status summary table, which includes the real-time status and historical status of each storage cabinet; S32, control strategy formulation: based on the data in the summary table and in combination with the preset control strategy, the server automatically generates a scheduling plan; S33, execution of optimization scheduling algorithm: the server executes the optimization scheduling algorithm to coordinate scheduling of multiple storage cabinets; S34, equipment collaborative operation: After the scheduling plan is issued, multiple storage cabinets perform collaborative operations according to the assigned tasks.

5. A remote control method for a smart IoT storage cabinet according to claim 4, characterized in that: The S4 specifically includes: S41, user command input: the user inputs a control command through the remote control terminal; S42, identity authentication and authority check: after receiving the user's instruction, the server verifies the user's identity, and the verification method includes password, fingerprint or two-factor authentication. After the verification is passed, the server checks the user's operation authority to ensure that the user only performs operations within the scope of his authority; S43, command parsing and issuing: After the user identity authentication and permission check are passed, the server parses the user command, generates the corresponding device operation command, and issues the operation command to the target storage cabinet through the communication module; S44, device execution and feedback: After receiving the operation command, the storage cabinet executes the corresponding operation and feeds back the execution result to the server. After receiving the feedback information, the server notifies the user of the operation result.

6. A remote control method for a smart IoT storage cabinet according to claim 5, characterized in that: The S5 specifically includes: S51, data transmission security monitoring: The server monitors the security of data transmission in real time and detects potential transmission errors, data loss or tampering; S52, device operation security monitoring: During the device operation, the server monitors the legitimacy of the operation in real time, detects whether there are any unauthorized operation attempts or abnormal behaviors, and if any abnormal operation is found, terminates the operation and records the relevant logs; S53, abnormal situation identification and response: the server identifies abnormal situations in equipment operation and environmental monitoring through data analysis models and abnormality detection algorithms, and triggers an alarm and records abnormal events when abnormal situations are detected; S54, exception handling and user notification: The server automatically handles the exception according to the preset emergency handling plan, and notifies the user of the exception and the handling result through the user terminal.

7. A remote control method for a smart IoT storage cabinet according to claim 6, characterized in that: The S6 specifically includes: S61, real-time collection of energy consumption data: through the sensors and monitoring modules installed in the storage cabinet, the energy consumption data of the equipment is collected in real time, including power consumption, working hours and idle time, and an energy consumption data report is generated; S62, energy consumption analysis and model building: the server analyzes the energy consumption data collected in real time and builds an energy consumption analysis model; S63, dynamic adjustment of working mode: based on the energy consumption analysis model, the server dynamically adjusts the working mode of the device to reduce the power consumption of the device during off-peak hours; S64, energy consumption optimization feedback: After dynamically adjusting the working mode, the server continues to monitor energy consumption changes, compares and analyzes the optimized energy consumption data with the prediction results of the energy consumption analysis model, and generates an energy consumption optimization report.

8. A remote control method for a smart IoT storage cabinet according to claim 7, characterized in that: The regression coefficient of the energy consumption analysis model is estimated by the least squares method and is calculated as: ； in, is the influencing factor matrix, is the energy consumption observation vector, is the estimated regression coefficient vector.

9. A remote control system for a smart IoT storage cabinet, used to implement a remote control method for a smart IoT storage cabinet as claimed in any one of claims 1 to 8, characterized in that: Includes the following modules: Communication module: used to establish a connection between the smart IoT storage cabinet and the remote server, supports data encryption transmission, and is responsible for the registration and management of device information, geographic location, and operation permissions; Sensor module: including temperature and humidity sensors, infrared sensors, and access control sensors, which are used to collect environmental data and operation status data inside and outside the storage cabinet in real time, and transmit the collected data to the remote server; Data processing module: receives and analyzes data from the sensor module, performs real-time monitoring and abnormality detection on environmental data and operating status data, triggers alarms and stores analyzed data; Scheduling control module: Based on the preset control strategy and the data collected by the sensor module, multiple smart IoT storage cabinets are uniformly scheduled and coordinated, and the optimized scheduling algorithm is executed to achieve a balance between energy consumption and work efficiency; Remote control module: The user sends instructions to the server through the remote control terminal. After the server verifies the user's identity and authority, it sends the instructions to the target storage cabinet and receives and feedbacks the operation results. Security management module: responsible for monitoring the security of data transmission and the legality of equipment operations, and identifying and handling abnormal situations in real time; Energy consumption management module: real-time monitoring and analysis of the energy consumption of storage cabinets, dynamic adjustment of equipment working mode, generation of energy consumption optimization reports, and provision of energy-saving management suggestions.

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