Express cabinet mailing control method and system

Abstract

The invention provides an express cabinet mailing control method and system, and relates to the field of express cabinets, and the system comprises the following modules: a main control module which achieves the rapid deployment and optimization of a machine learning algorithm and a big data analysis technology through a deep learning framework, and is used for efficiently processing the user mailing data, parcel information and the use condition of an express cabinet; and the touch module is internally provided with a language font library and a user-defined UI engine, and is combined with an AR rendering technology to provide immersive virtual animation and operation guidance so as to guide a user to complete a sending process in a visual and understandable manner. Through the main control module, grid distribution is optimized by using deep learning and big data analysis, and the utilization rate is improved; the touch module is combined with an AR technology to provide visual operation guidance; the code scanning module supports quick decoding of two-dimensional codes and intelligent voice interaction, so that the operation convenience is improved; the communication module ensures high speed and stability of data transmission and automatically switches an optimal communication mode; and the user side module constructs a community platform to promote user interaction.

Description

Technical Field

[0001] The present invention relates to the field of express delivery cabinets, and in particular to a method and system for controlling the delivery of items from an express delivery cabinet. Background Art

[0002] With the rapid development of e-commerce and logistics industries, express lockers have been widely used in various scenarios such as communities, schools, and offices as a convenient and efficient way to send and pick up parcels. However, traditional express locker delivery control methods have many problems, such as unreasonable grid allocation, complex user operations, unstable communications, insufficient security, and lack of intelligent management.

[0003] Traditional express locker grid allocation often relies on simple rules or manual intervention, and is unable to make accurate allocations based on the user's historical shipping data, package size and weight, and the real-time occupancy of the express lockers, resulting in low grid utilization and long waiting times for users. At the same time, when using express lockers, users usually need to follow fixed steps, and lack intuitive and easy-to-understand guidance and interaction methods, making the operation process cumbersome and error-prone.

[0004] Therefore, we have made improvements to this and proposed a method and system for controlling the delivery of express lockers. Summary of the invention

[0005] The purpose of the present invention is to address the problem that the existing traditional express locker grid allocation often relies on simple rules or manual intervention, and cannot be accurately allocated based on the user's historical shipping data, package size and weight, and the real-time occupancy of the express locker, resulting in low grid utilization and long user waiting time.

[0006] In order to achieve the above-mentioned purpose of the invention, the present invention provides the following express locker delivery control method and system to improve the above-mentioned problems.

[0007] The specific application is as follows:

[0008] A method for controlling the delivery of express cabinets, comprising the following modules:

[0009] The main control module uses a deep learning framework to quickly deploy and optimize machine learning algorithms and big data analysis technologies, and is used to efficiently process user mailing data, package information, and express locker usage, thereby achieving accurate grid allocation;

[0010] The touch module, with built-in language fonts and custom UI engine, combines AR rendering technology to provide immersive virtual animation and operation guidance, guiding users to complete the mailing process in an intuitive and easy-to-understand way;

[0011] The code scanning module uses an image sensor and a decoding chip to support fast decoding of the QR code format. It combines the voice recognition, natural language processing and speech synthesis technology of the voice interaction system to achieve instant response and accurate execution of user voice commands. The specific algorithm formula of the voice interaction is:

[0012] Rspeech=NLP(Ispeech);

[0013] Among them, Rspeech is the voice response, NLP is the natural language processing function, and Ispeech is the user voice input. The user voice command is analyzed through natural language processing technology, and the corresponding voice or text response is generated to realize intelligent voice interaction;

[0014] The communication module integrates 5G NR baseband chip and RF front-end module, supports SA / NSA dual-mode 5G network connection, ensures high-speed and low-latency data transmission, and is equipped with multi-mode and multi-frequency WiFi chip and Gigabit Ethernet interface. It realizes automatic switching and fault recovery of communication mode through network selection algorithm. The communication mode switching specifically adopts the following algorithm:

[0015] Mcomm = argmaxi(Qi / Li);

[0016] Among them, Mcomm is the selected communication mode, Qi is the quality of communication mode i, and Li is the delay of communication mode i; the algorithm automatically selects the optimal communication mode according to network quality and delay to ensure the stability and real-time performance of data transmission.

[0017] As the preferred technical solution of this application, it also includes a user-side module, which realizes accurate spatial positioning and operation guidance by combining the sensor fusion technology of the mobile device and the AR tracking algorithm, and at the same time builds a community platform based on user interests, analyzes user behavior through big data, recommends relevant topics and interest groups to users, and promotes interactive communication between users. The algorithm formula of the AR tracking algorithm is:

[0018] Gguide=AR(Uposition,Oorientation);

[0019] Among them, Gguide is the operation guide, AR is the augmented reality function, Uposition is the user position, and Oorientation is the device direction.

[0020] As the preferred technical solution of this application, it also includes a data analysis module, which uses data mining, user profiling and predictive analysis technology to deeply mine user behavior data and express cabinet usage data to provide accurate data support for grid allocation. The grid allocation algorithm formula is as follows:

[0021] Salloc=f(Udata,Pinfo,Cstatus);

[0022] Where Salloc represents the allocated grid, f is the allocation function, Udata is the user data, Pinfo is the package information, and Cstatus is the status of the express cabinet. The algorithm comprehensively considers the user's historical shipping data, the current package size and weight, and the real-time occupancy of the express cabinet, and predicts the optimal grid allocation through a machine learning model.

[0023] The specific formula for the prediction analysis is:

[0024] Precommend=ML(Dusage,Dbehavior);

[0025] Among them, Precommend is the recommended shipping slot, ML is the machine learning function, Dusage is the user usage data, and Dbehavior is the user behavior data; machine learning and big data analysis technology are used to mine user usage data and behavior data, predict user future needs, and recommend the most suitable shipping slot.

[0026] As a preferred technical solution of the present application, it also includes an early warning module, which uses streaming data processing and machine learning algorithms to monitor abnormal situations in real time and trigger an early warning mechanism.

[0027] As a preferred technical solution of the present application, an energy-saving module is also included. The energy-saving module adopts an energy-saving management algorithm, combines environmental sensors and load monitoring technology, and dynamically adjusts the power supply and working mode to achieve refined energy saving. The specific algorithm formula of the energy-saving management algorithm is:

[0028] Esave=∑t(Pidle-Pworking)×Δt;

[0029] Among them, Esave is the energy saved, Pidle is the idle power, Pworking is the working power, and Δt is the time interval.

[0030] As the preferred technical solution of this application, a remote monitoring module is also included. The remote monitoring module uses video encoding and decoding technology, streaming media transmission protocol and encryption authentication mechanism to ensure that managers can view the status information, video monitoring screen and historical operation records of the express cabinet in real time. The encryption algorithm specifically adopts the following algorithm:

[0031] Vauth=∏i=1nFi(Uinput);

[0032] Where Vauth is the identity authentication result, Fi is the i-th verification factor function, and Uinput is the user input; combining multiple verification factors (such as SMS verification code, biometrics, etc.), the authenticity of the user's identity is comprehensively judged through logical operations;

[0033] Cdata=E(K,Pdata);

[0034] Among them, Cdata is the encrypted data, E is the encryption function, K is the key, and Pdata is the original data;

[0035] Vsign = S(K,H(Pdata));

[0036] Among them, Vsign is the signature value, S is the signature function, and H is the hash function; the security of data transmission is ensured through advanced encryption standards and public key infrastructure technology, and the integrity and authenticity of the data are guaranteed by signature verification technology.

[0037] A courier cabinet mailing control system specifically includes the following steps:

[0038] S1: Use mobile network and APP technology to electronically fill in and submit user shipping information. The server-side engine combines user portraits and historical data analysis results to match users with appropriate shipping boxes. Use biometric technology and dynamic verification code mechanism for identity authentication to ensure the security of the shipping process. Use AR technology combined with device sensors to accurately guide and verify the placement of users' packages. Use real-time logistics tracking technology and social interaction functions to enhance users' shipping experience and promote communication and sharing among users.

[0039] As the preferred technical solution of this application, the following steps are also included:

[0040] S2: Identity verification: Multi-factor authentication technology is used, including SMS verification code, fingerprint recognition, facial recognition and voiceprint recognition to ensure the authenticity and security of user identity.

[0041] As the preferred technical solution of this application, the following steps are also included:

[0042] S3: APP’s community platform: content sharing, likes and comments, and topic discussions provide diversified social interaction methods, and through user behavior analysis and personalized recommendation technology, it provides users with customized content recommendations and social experiences.

[0043] As the preferred technical solution of this application, the following steps are also included:

[0044] S4: Use AES encryption standards and public key infrastructure technology to ensure the confidentiality, integrity and authenticity of data transmission; use role-based access control and fine-grained permission management technology to achieve precise access control and operation auditing for different users and managers; use surveillance cameras and infrared sensors as security protection measures as well as remote real-time monitoring and alarm systems to ensure the safe and stable operation of express cabinets.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] In the scheme of this application:

[0047] 1. In order to solve the problem of low utilization rate of grids and long waiting time of users in the prior art, this application realizes accurate processing of user mailing data, package information and express cabinet usage by setting up a main control module with deep learning framework and big data analysis technology;

[0048] 2. In order to solve the problem of low user satisfaction of traditional express lockers in the prior art, this application uses data mining, user profiling and predictive analysis technology through the data analysis module set up to deeply mine user behavior data and express locker usage data to provide accurate data support for grid allocation;

[0049] 3. Through the energy-saving module, energy-saving management algorithm, environmental sensor and load monitoring technology, the power supply and working mode are dynamically adjusted to achieve refined energy saving; this energy management method not only reduces operating costs, but also conforms to the concept of environmental protection;

[0050] 4. The remote monitoring module and encryption technology ensure the security and integrity of data transmission. Through video encoding and decoding technology, streaming media transmission protocol and encryption authentication mechanism, managers can view the status information, video monitoring images and historical operation records of express cabinets in real time; at the same time, the use of AES encryption standards and public key infrastructure technology, as well as role-based access control and fine-grained permission management technology ensures the security and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 Provided for this application Method for controlling parcel delivery in express lockers Flowchart of

[0052] Figure 2 Provided for this application A parcel delivery control system for express delivery cabinets The structural diagram of DETAILED DESCRIPTION

[0053] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. 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 should fall within the scope of protection of the present invention.

[0054] As described in the background technology, traditional express locker grid allocation often relies on simple rules or manual intervention, and is unable to make accurate allocations based on the user's historical shipping data, package size and weight, and the real-time occupancy of the express locker, resulting in low grid utilization and long user waiting time.

[0055] In order to solve this technical problem, the present invention provides a method and system for controlling express locker delivery, which are applied to efficient, intelligent and safe express locker delivery.

[0056] Specifically, please refer to Figure 1-2 The express cabinet delivery control method specifically includes the following modules:

[0057] The main control module uses a deep learning framework to quickly deploy and optimize machine learning algorithms and big data analysis technologies, and is used to efficiently process user mailing data, package information, and express locker usage, thereby achieving accurate grid allocation;

[0058] The touch module, with built-in language fonts and custom UI engine, combines AR rendering technology to provide immersive virtual animation and operation guidance, guiding users to complete the mailing process in an intuitive and easy-to-understand way;

[0059] The code scanning module uses an image sensor and a decoding chip to support fast decoding of the QR code format. It combines the voice recognition, natural language processing and speech synthesis technology of the voice interaction system to achieve instant response and accurate execution of user voice commands. The specific algorithm formula of the voice interaction is:

[0060] Rspeech=NLP(Ispeech);

[0061] Among them, Rspeech is the voice response, NLP is the natural language processing function, and Ispeech is the user voice input. The user voice command is analyzed through natural language processing technology, and the corresponding voice or text response is generated to realize intelligent voice interaction;

[0062] The communication module integrates 5G NR baseband chip and RF front-end module, supports SA / NSA dual-mode 5G network connection, ensures high-speed and low-latency data transmission, and is equipped with multi-mode and multi-frequency WiFi chip and Gigabit Ethernet interface. It realizes automatic switching and fault recovery of communication mode through network selection algorithm. The communication mode switching specifically adopts the following algorithm:

[0063] Mcomm = argmaxi(Qi / Li);

[0064] Among them, Mcomm is the selected communication mode, Qi is the quality of communication mode i, and Li is the delay of communication mode i; the algorithm automatically selects the optimal communication mode according to network quality and delay to ensure the stability and real-time performance of data transmission.

[0065] The express locker mailing control method provided by the present invention realizes accurate processing of user mailing data, package information and express locker usage through the main control module using the deep learning framework and big data analysis technology; this method can comprehensively consider multiple factors, such as user historical mailing data, package size and weight, and real-time occupancy of the express locker, so as to realize accurate grid allocation; this greatly improves the utilization rate of the grid, reduces user waiting time, and improves mailing efficiency; the touch module combines the language font library, custom UI engine and AR rendering technology to provide users with immersive virtual animation and operation guidance; this intuitive and easy-to-understand method greatly simplifies the user's operation process, reduces the possibility of operation errors, and improves the user experience.

[0066] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings.

[0067] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features and technical solutions in the embodiments may be combined with each other.

[0068] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0069] Example 1, please refer to Figure 1 , a method for controlling the delivery of express lockers, which also includes a user-side module, which realizes accurate spatial positioning and operation guidance by combining the sensor fusion technology of mobile devices and AR tracking algorithms, and at the same time builds a community platform based on user interests, analyzes user behavior through big data, recommends relevant topics and interest groups to users, and promotes interactive communication between users. The algorithm formula of the AR tracking algorithm is:

[0070] Gguide=AR(Uposition,Oorientation);

[0071] Among them, Gguide is the operation guide, AR is the augmented reality function, Uposition is the user position, and Oorientation is the device direction.

[0072] The user-side module not only achieves precise spatial positioning and operation guidance, but also builds a community platform based on user interests; by analyzing user behavior through big data, it recommends relevant topics and interest groups to users, promotes interactive communication between users, and enhances user stickiness.

[0073] Please refer to Figure 1 , a courier locker mailing control system, which also includes a data analysis module, the data analysis module uses data mining, user profiling and predictive analysis technology to deeply mine user behavior data and courier locker usage data to provide accurate data support for grid allocation. The grid allocation algorithm formula is as follows:

[0074] Salloc=f(Udata,Pinfo,Cstatus);

[0075] Where Salloc represents the allocated grid, f is the allocation function, Udata is the user data, Pinfo is the package information, and Cstatus is the status of the express cabinet. The algorithm comprehensively considers the user's historical shipping data, the current package size and weight, and the real-time occupancy of the express cabinet, and predicts the optimal grid allocation through a machine learning model.

[0076] The specific formula for the prediction analysis is:

[0077] Precommend=ML(Dusage,Dbehavior);

[0078] Among them, Precommend is the recommended shipping slot, ML is the machine learning function, Dusage is the user usage data, and Dbehavior is the user behavior data; machine learning and big data analysis technology are used to mine user usage data and behavior data, predict user future needs, and recommend the most suitable shipping slot.

[0079] The data analysis module uses data mining, user profiling and predictive analysis technology to deeply mine user behavior data and express locker usage data to provide accurate data support for locker allocation. At the same time, it predicts users' future needs through machine learning and big data analysis technology, and recommends the most suitable lockers, further improving service quality and user satisfaction.

[0080] Embodiment 2 further optimizes the express cabinet delivery control system provided in Embodiment 1. Specifically,like Figure 1 Shown , also includes an early warning module, which uses streaming data processing and machine learning algorithms to monitor abnormal situations in real time and trigger an early warning mechanism.

[0081] Furthermore, like Figure 1 Shown , and also includes an energy-saving module, which adopts an energy-saving management algorithm, combines environmental sensors and load monitoring technology, and dynamically adjusts power supply and working mode to achieve refined energy saving. The specific algorithm formula of the energy-saving management algorithm is:

[0082] Esave=∑t(Pidle-Pworking)×Δt;

[0083] Among them, Esave is the energy saved, Pidle is the idle power, Pworking is the working power, and Δt is the time interval.

[0084] The energy-saving module dynamically adjusts the power supply and working mode to achieve refined energy saving through energy-saving management algorithms, environmental sensors and load monitoring technology; this energy-saving management method not only reduces operating costs, but also complies with environmental protection concepts.

[0085] Embodiment 3 further optimizes the express delivery cabinet delivery control system provided in Embodiment 1 or 2. Specifically, like Figure 1 Place Show, It also includes a remote monitoring module, which uses video encoding and decoding technology, streaming media transmission protocol and encryption authentication mechanism to ensure that managers can view the status information, video monitoring screen and historical operation records of the express cabinet in real time. The encryption algorithm specifically adopts the following algorithm:

[0086] Vauth=∏i=1nFi(Uinput);

[0087] Where Vauth is the identity authentication result, Fi is the i-th verification factor function, and Uinput is the user input; combining multiple verification factors (such as SMS verification code, biometrics, etc.), the authenticity of the user's identity is comprehensively judged through logical operations;

[0088] Cdata=E(K,Pdata);

[0089] Among them, Cdata is the encrypted data, E is the encryption function, K is the key, and Pdata is the original data;

[0090] Vsign = S(K,H(Pdata));

[0091] Among them, Vsign is the signature value, S is the signature function, and H is the hash function; the security of data transmission is ensured through advanced encryption standards and public key infrastructure technology, and the integrity and authenticity of the data are guaranteed by signature verification technology.

[0092] The remote monitoring module and encryption technology ensure the security and integrity of data transmission; through video encoding and decoding technology, streaming media transmission protocol and encryption authentication mechanism, managers can view the status information, video surveillance images and historical operation records of the express cabinet in real time; at the same time, the use of AES encryption standards and public key infrastructure technology, as well as role-based access control and fine-grained permission management technology, ensures the security and reliability of the system.

[0093] Example 4, please refer to Figure 2 , a method for controlling the delivery of express lockers, which specifically includes the following steps:

[0094] S1: Use mobile network and APP technology to electronically fill in and submit user shipping information. The server-side engine combines user portraits and historical data analysis results to match users with appropriate shipping boxes. Use biometric technology and dynamic verification code mechanism for identity authentication to ensure the security of the shipping process. Use AR technology combined with device sensors to accurately guide and verify the placement of users' packages. Use real-time logistics tracking technology and social interaction functions to enhance users' shipping experience and promote communication and sharing among users.

[0095] S2: Identity verification: Multi-factor authentication technology is used, including SMS verification code, fingerprint recognition, facial recognition and voiceprint recognition to ensure the authenticity and security of user identity.

[0096] S3: APP’s community platform: content sharing, likes and comments, and topic discussions provide diversified social interaction methods, and through user behavior analysis and personalized recommendation technology, it provides users with customized content recommendations and social experiences.

[0097] S4: Use AES encryption standards and public key infrastructure technology to ensure the confidentiality, integrity and authenticity of data transmission; use role-based access control and fine-grained permission management technology to achieve precise access control and operation auditing for different users and managers; use surveillance cameras and infrared sensors as security protection measures as well as remote real-time monitoring and alarm systems to ensure the safe and stable operation of express cabinets.

[0098] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection, an electrical connection, or communication with each other; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0099] Obviously, the embodiments described above are only some embodiments of the present invention, rather than all embodiments. The preferred embodiments of the present invention are given in the accompanying drawings, but they do not limit the patent scope of the present invention. The present invention can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive. Although the present invention has been described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific embodiments, or to perform equivalent replacements for some of the technical features therein. Any equivalent structure made using the contents of the specification and drawings of the present invention, directly or indirectly used in other related technical fields, is also within the scope of patent protection of the present invention.

Claims

1. A courier cabinet mailing control system, characterized in that: Includes the following modules: The main control module uses a deep learning framework to quickly deploy and optimize machine learning algorithms and big data analysis technologies, and is used to efficiently process user mailing data, package information, and express locker usage; The touch module, with built-in language fonts and custom UI engine, combines AR rendering technology to provide immersive virtual animation and operation guidance, guiding users to complete the mailing process in an intuitive and easy-to-understand way; The code scanning module uses image sensors and decoding chips to support fast decoding of QR code formats. It combines the voice recognition, natural language processing and speech synthesis technology of the voice interaction system to achieve instant response and accurate execution of user voice commands. The communication module integrates 5G NR baseband chip and RF front-end module, supports SA / NSA dual-mode 5G network connection, ensures high-speed and low-latency data transmission, and is equipped with multi-mode and multi-frequency WiFi chip and Gigabit Ethernet interface. It realizes automatic switching and fault recovery of communication mode through network selection algorithm. The communication mode switching specifically adopts the following algorithm: Mcomm = argmaxi(Qi / Li); Among them, Mcomm is the selected communication mode, Qi is the quality of communication mode i, and Li is the delay of communication mode i; the algorithm automatically selects the optimal communication mode according to network quality and delay to ensure the stability and real-time performance of data transmission.

2. A courier cabinet mailing control system according to claim 1, characterized in that: It also includes a user-side module, which realizes accurate spatial positioning and operation guidance by combining the sensor fusion technology of mobile devices and AR tracking algorithms. At the same time, it builds a community platform based on user interests, analyzes user behavior through big data, recommends relevant topics and interest groups to users, and promotes interactive communication between users. The algorithm formula of the AR tracking algorithm is: Gguide=AR(Uposition,Oorientation); Among them, Gguide is the operation guide, AR is the augmented reality function, Uposition is the user position, and Oorientation is the device direction.

3. A courier cabinet mailing control system according to claim 2, characterized in that: It also includes a data analysis module, which uses data mining, user profiling and predictive analysis technology to deeply mine user behavior data and express cabinet usage data to provide accurate data support for grid allocation. The grid allocation algorithm formula is as follows: Salloc=f(Udata,Pinfo,Cstatus); Where Salloc represents the allocated grid, f is the allocation function, Udata is the user data, Pinfo is the package information, and Cstatus is the status of the express cabinet. The algorithm comprehensively considers the user's historical shipping data, the current package size and weight, and the real-time occupancy of the express cabinet, and predicts the optimal grid allocation through a machine learning model. The specific formula for the prediction analysis is: Precommend=ML(Dusage,Dbehavior); Among them, Precommend is the recommended shipping slot, ML is the machine learning function, Dusage is the user usage data, and Dbehavior is the user behavior data.

4. The express delivery cabinet mailing control system according to claim 3, characterized in that: It also includes an early warning module, which uses streaming data processing and machine learning algorithms to monitor abnormal situations in real time and trigger an early warning mechanism.

5. A courier cabinet mailing control system according to claim 4, characterized in that: It also includes an energy-saving module, which uses an energy-saving management algorithm, combines environmental sensors and load monitoring technology, and dynamically adjusts power supply and working mode to achieve refined energy saving. The specific algorithm formula of the energy-saving management algorithm is: Esave=∑t(Pidle-Pworking)×Δt; Among them, Esave is the energy saved, Pidle is the idle power, Pworking is the working power, and Δt is the time interval.

6. A courier cabinet mailing control system according to claim 5, characterized in that: It also includes a remote monitoring module, which uses video encoding and decoding technology, streaming media transmission protocol and encryption authentication mechanism to ensure that managers can view the status information, video monitoring screen and historical operation records of the express cabinet in real time. The encryption algorithm specifically adopts the following algorithm: Vauth=∏i=1nFi(Uinput); Where Vauth is the authentication result, Fi is the i-th authentication factor function, and Uinput is the user input; Cdata=E(K,Pdata); Among them, Cdata is the encrypted data, E is the encryption function, K is the key, and Pdata is the original data; Vsign = S(K,H(Pdata)); Among them, Vsign is the signature value, S is the signature function, and H is the hash function.

7. A method for controlling the delivery of express lockers, using As claimed in claim 6 The express cabinet delivery control method is characterized in that: The specific steps include: S1: Use mobile network and APP technology to electronically fill in and submit user shipping information. The server-side engine combines user portraits and historical data analysis results to match users with appropriate shipping boxes. Use biometric technology and dynamic verification code mechanism for identity authentication to ensure the security of the shipping process. Use AR technology combined with device sensors to accurately guide and verify the placement of users' packages. Use real-time logistics tracking technology and social interaction functions.

8. A method for controlling the delivery of express lockers according to claim 7, characterized in that: The following steps are also included: S2: Identity verification: Multi-factor authentication technology is used, including SMS verification code, fingerprint recognition, facial recognition and voiceprint recognition to ensure the authenticity and security of user identity.

9. A method for controlling the delivery of express lockers according to claim 8, characterized in that: The following steps are also included: S3: APP’s community platform: content sharing, likes and comments, and topic discussions provide diversified social interaction methods, and through user behavior analysis and personalized recommendation technology, it provides users with customized content recommendations and social experiences.

10. A method for controlling the delivery of express lockers according to claim 9, characterized in that: The following steps are also included: S4: Use AES encryption standards and public key infrastructure technology to ensure the confidentiality, integrity and authenticity of data transmission; use role-based access control and fine-grained permission management technology to achieve precise access control and operation auditing for different users and managers; use surveillance cameras and infrared sensors as security protection measures as well as remote real-time monitoring and alarm systems to ensure the safe and stable operation of express cabinets.

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