402 results about "Mobile internet" patented technology

The invention discloses a three-dimensional GIS (geographic information system) system for safety assessment of an urban gas pipeline internet of things. A gas pipe network monitoring and assessment system combining the internet of things, a mobile internet and BIM / GIS information is established. Firstly, an overall framework based on sensing, transmission, knowing and use of the internet of things is established; secondly, a front-end sensing system deployment scheme is established, a database system is built, and index data are collected and stored; thirdly, a gas leakage hazard model is constructed, and possible hazard consequences are evaluated; 4, a pipe network monitoring system application layer module is constructed, and underground space information management, safety analysis, prediction and early warning and an auxiliary decision making module are achieved; and establishing a gas pipe network risk identification module, a basic information checking module, a monitoring and explosion early warning module, a three-dimensional visualization module and an auxiliary decision-making module. The system monitors the operation condition of the gas pipe network in real time, analyzes the operation rule of the gas pipe network, evaluates the risk of the gas pipe network, predicts, early warns and decides in time, changes passive first-aid repair into active protection, and is high in monitoring stability, precision and efficiency.

The invention provides a verification-code-free login method and system based on common equipment, and relates to the technical field of mobile internet, and the method comprises the steps: generating an equipment unique fingerprint according to equipment attribute information under the condition that the equipment attribute information of current equipment is obtained; collecting user interaction behavior data in real time to construct a dynamic behavior feature vector; inputting the equipment unique fingerprint and the dynamic behavior feature vector into a trust evaluation model to obtain an equipment trust value output by the trust evaluation model; when it is determined that the equipment trust value is greater than a preset trust threshold value, controlling the current equipment to execute verification code-free login operation; and when it is determined that the equipment trust value is smaller than or equal to a preset trust threshold value, triggering an enhanced verification operation. The technical problem that it is difficult to achieve verification-code-free login which can not only guarantee safety but also provide non-inductive experience in the related technology is solved, and the technical effect of verification-code-free login which can not only guarantee safety but also provide non-inductive experience is achieved.

The invention discloses a parallel active communication interception system and method applied to a mobile internet, and the system achieves a distributed architecture through a cloud computing platform, and supports the efficient processing and analysis of large-scale data. Comprising a communication interception module used for capturing network communication data of a mobile terminal device and carrying out preliminary data cleaning and formatting processing; the threat analysis module is used for analyzing the captured network communication data in real time by adopting a pre-trained machine learning or deep learning model and identifying potential threats; and the interception decision module is used for determining whether to intercept according to the potential threat analysis result output by the threat analysis module in combination with a preset security policy. According to the system, active and real-time interception of mobile internet communication is realized, and the timeliness and effectiveness of safety protection are remarkably improved.

The invention belongs to the technical field of wireless optical communication, and particularly relates to a mobile edge computing task unloading and resource allocation method in wireless optical communication assisted by an unmanned aerial vehicle. According to the method, the data model, the queue model and the communication model are constructed, a task unloading strategy is optimized, and efficient and low-power-consumption edge computing resource allocation is achieved; an optimization technology is adopted to decompose a long-term optimization problem into sub-problems of each time slot, and the sub-problems are solved through a continuous convex approximation algorithm and a BFGS algorithm; finally, joint optimization of task unloading, computing resources, transmitting power, task return transmitting power, time slot scheduling and UAV trajectory is realized, and an optimization framework with more fine granularity in multi-dimensional allocation is formed. The characteristics of flexibility of the unmanned aerial vehicle and high bandwidth of wireless optical communication are utilized, the long-term throughput of the system is improved, the long-term power consumption of Internet of Things equipment is reduced, the high real-time performance of task processing is ensured, and the method is suitable for outdoor mobile Internet of Things application scenes with strict requirements for low power consumption and high real-time performance.

The invention relates to an APP traffic anomaly detection method and system based on a multi-scale time sequence, and belongs to the field of mobile internet traffic monitoring. The system comprises a traffic data acquisition module, a traffic data preprocessing module, a multi-scale time sequence decomposition module and an abnormal traffic detection module. The method comprises the following steps of: capturing network traffic of a target APP through a traffic data acquisition module, classifying according to API calling, resource loading and advertisement request types, and recording an APP running state as context information; the traffic data preprocessing module groups the collected traffic data according to scenes and extracts statistical characteristics based on a set time window; and the multi-scale time sequence decomposition module performs wavelet transformation and empirical mode decomposition on the feature vector sequence, extracts high-frequency components and low-frequency components of the flow respectively, and captures short-term burst and long-term trend change. According to the invention, the anomaly detection method is designed for the APP traffic characteristics, and the APP traffic anomaly can be detected more accurately.

The invention provides a mobile Internet of Things operation data management method and system, and relates to the technical field of mobile Internet of Things data management, and the method comprises the following steps: collecting and preprocessing multi-modal data, and obtaining the preprocessed data; calculating a data change rate and dividing the data change rate into data in different stable states based on the preprocessed data, and performing hierarchical compression on the data in different stable states to obtain compressed data; calculating a data synchronization priority, and performing data synchronization on the compressed data according to the data synchronization priority to obtain synchronized data; verifying the synchronized data, and calculating a retransmission index to carry out data retransmission to obtain the data after data retransmission; and storing the data after data retransmission, and constructing a composite index. The method has the advantages that the compression strategy and the data synchronization strategy are dynamically applied, the data compression and data transmission efficiency is high, the composite index comprises the data compression feature and the time-space feature, and cross-modal data rapid positioning is effectively achieved.

The invention discloses an Internet data security protection method and system based on an artificial intelligence algorithm, and belongs to the technical field of data security protection. Performing supervision and data processing on behaviors of implementing permission applications by different mobile phone software in a target use process to obtain behavior supervision processing data corresponding to different permission applications by different mobile phone software, and performing data processing and analysis on the mobile phone software at a mobile phone software level and a permission type level. Pertinent authority application data security protection management is carried out on different mobile phone software and different authority types according to an analysis result, so that the active supervision effect and the active processing protection effect of mobile internet data security protection at the mobile phone software level are improved; the method is used for solving the technical problems that in an existing scheme, the mobile phone software permission application autonomous supervision processing effect for the mobile internet is poor, and the security protection autonomous management and control effect is poor.

The invention provides a garbage collection classification management method and system driven by a mobile internet. The garbage collection classification management method comprises the steps that an internet terminal dynamically adjusts garbage classification rules according to received environment data; the internet terminal determines a garbage classification result according to the received garbage data and environmental data in combination with the dynamically adjusted garbage classification rule, and sends the garbage classification result to the user mobile device for display; each type of garbage throwing is monitored and recorded; the internet terminal controls the clearing and transporting vehicle to clear and transport garbage according to the priority of the garbage in the intelligent garbage can, and carries out self-adaptive planning of a clearing and transporting path of the clearing and transporting vehicle according to the comprehensive condition of the priority of the garbage in the clearing and transporting vehicle; and the internet terminal controls the cleaning and transporting vehicle to transport the garbage to the garbage station according to the planned path. The system comprises modules corresponding to the steps of the method.

The invention discloses a project site multi-modal data acquisition system based on AI (Artificial Intelligence) equipment, which efficiently accesses project site multi-modal data through a data acquisition module by utilizing a mobile internet, the equipment and an AI biological recognition technology, improves data comprehensiveness, accuracy and real-time performance, and improves the project site multi-modal data acquisition efficiency. The software and hardware matching scheme module is based on a process driving mechanism of a template, different project requirements are flexibly adapted, the management efficiency and normalization are improved, the Internet of Things equipment management module realizes intelligent monitoring and management and enhances safety and convenience, the electronic data storage module provides a mobile cooperation terminal, project labor service data signing is completed online in the whole process, and the management efficiency is improved. The work authenticity and efficiency auditing module forms an auditing mechanism, the real situation and efficiency level of field work are accurately reflected, problems can be found in time, project quality and efficiency are improved, and intelligentization, standardization and high efficiency of field labor service management are achieved.

The invention discloses a search method based on multi-source information fusion, and relates to the technical field of multi-source information search, and the method comprises the steps: S1, obtaining a user operation instruction based on a redefined shortcut operation, so as to recognize a user demand; s2, acquiring search content of a user, and determining a search way for performing multi-source information search in combination with a natural language processing technology and a large language model; s3, searching based on the determined search way to obtain a corresponding search result; and S4, obtaining user preference information, integrating and analyzing the search result in combination with the user preference information to obtain an integration result, and returning the integration result to the user for viewing according to a set return rule. According to the method, the problem of low information search efficiency of the user in the mobile internet era is solved by providing a quick search way and automatically fusing and returning the multi-source data, meanwhile, a more accurate comprehensive data analysis result can be provided, and the search efficiency and the accuracy of data analysis are greatly improved.

The invention relates to a terminal identity authentication method based on an identity label password, which comprises the following steps: step 1, during identity registration, collecting user voice through a mobile terminal to establish an identity vector voiceprint model, extracting features, adding an identity label to generate a user ID, and generating a corresponding identity password system; and 2, during authentication, judging the legality of a user according to voice recognition, and encrypting and decrypting data based on an identity password and a symmetric encryption algorithm AES to realize terminal identity authentication so as to resist common attacks in the mobile internet. According to the invention, the capability of identifying illegal users and the capability of resisting network hostile attacks are greatly improved.

The invention belongs to the field of computer networks, data compression and mobile internet and wireless communication, and discloses a TCP (Transmission Control Protocol) data packet compression and aggregation self-adaption method, which comprises the following steps of: 1, receiving a TCP data packet and separating a header from a payload; step 2, storing the effective load part; step 3, compressing the head and updating context data according to the serial number, the confirmation number, the mark and the window size field of the head; step 4, combining the compressed header with the effective load to obtain a compressed message; 5, extracting the compressed messages according to a set aggregation threshold value, aggregating the compressed messages, and sending the aggregated compressed messages to a data link layer; and step 6, storing the operation records, comparing the operation records with the previous N operation records, and changing a set aggregation threshold according to a comparison result. According to the invention, the message can be efficiently processed under the condition of a complex network, so that the overall network throughput and the message processing efficiency are improved.

The invention provides a coal mine electromechanical equipment operation and maintenance management method and system based on a two-dimensional code, and the method comprises the steps: constructing a two-dimensional code for the operation and maintenance management of coal mine electromechanical equipment, and adding an operation instruction of the equipment in the content of the two-dimensional code; in response to a management request sent after a mobile terminal of a worker scans the two-dimensional code, operation and maintenance management options are sent to the mobile terminal, and the mobile terminal performs data interaction through the mobile internet; when any information reading option is selected, corresponding information content is sent to the mobile terminal and displayed, and the information reading options comprise reading options of the specification and the operation and maintenance information; and when an operation and maintenance data entry option is selected, displaying a to-be-filled equipment responsibility board on a two-dimensional code applet interface, and receiving various filled operation and maintenance result data. According to the method, the operation and maintenance management of the coal mine electromechanical equipment is carried out by using the two-dimensional code applet and the mobile internet, so that the intelligentization, high efficiency and precision of the operation and maintenance management of the coal mine equipment are realized.

The invention discloses a target object description method, device and equipment based on multi-source data fusion, and relates to the technical field of social simulation.The method comprises the steps that a target community needing object description is selected and determined based on an electronic map, an API interface function is called to obtain description data of a target object of the target community in the mobile internet, and the description data are stored in the mobile internet; probability distribution of the target object in each dimension is obtained; obtaining description data of a target object of the target community based on an active investigation mode, and performing conversion processing to obtain probability distribution of the target object in each dimension; and fusing the probability distribution of the target object on each dimension obtained from the mobile internet with the probability distribution of the target object on each dimension obtained in the active investigation mode to obtain a multi-dimensional description of the target object of the target community. According to the method, the community description data is obtained through two modes of mobile internet big data and questionnaire survey, effective complementation is formed, complete crowd portraying of the community can be realized, and community social simulation is effectively supported.

The invention relates to the technical field of first-aid information management, and discloses a first-aid information management system and method based on a mobile internet and a two-dimensional code, and the method comprises the following steps: obtaining a unique identifier of equipment from a security chip, generating a dynamic encryption UUID through a hybrid encryption algorithm in combination with a precise timestamp and geocoding data, and storing the dynamic encryption UUID in the security chip; a key derivation technology is adopted to ensure that each session key is independent, and finally a standardized encrypted identifier is output; the encrypted UUID, the timestamp and the metadata of the authority level are integrated with the digital signature, and the dynamic two-dimensional code containing the ultraviolet mark is generated through serialized coding, error correction enhancement and physical anti-counterfeiting processing. Through deep fusion of dynamic data anchoring and multi-dimensional security verification, an end-to-end trusted first-aid information channel is constructed, and information lag and security defects of a traditional static management mode are effectively overcome.

The invention provides a data transmission method and device and a storage medium, relates to the technical field of communication, and is used for solving the problem of how to enable a mobile network terminal to send data to a fixed network terminal. The method comprises the following steps: receiving to-be-forwarded data sent by a mobile network terminal, wherein the mobile network terminal is a terminal device accessing the mobile internet; a target optical line terminal OLT is determined based on the target identification information and a preset forwarding strategy, the preset forwarding strategy is used for indicating a corresponding relation between preset identification information and a preset OLT, the preset identification information comprises the target identification information, the preset OLT comprises the target OLT, and the target identification information comprises an identification of a mobile network terminal and / or an identification of a fixed network terminal; the fixed network terminal is a terminal device connected with the target OLT. And sending the to-be-forwarded data to the fixed network terminal through the target OLT.

The invention relates to a road and bridge engineering quality supervision method and system based on mobile internet multi-terminal cooperation. The method comprises the following steps: generating a space-time composite label by fusing engineering data collected by a mobile terminal, a Beidou time service signal, multi-source positioning information and BIM component characteristics; dynamic drift compensation is carried out on the digital twin model by utilizing the attenuation characteristic of the material, and position deviation caused by long-period construction is eliminated; intelligent arbitration of multi-terminal operation conflicts is realized based on space-time overlap analysis; generating a lightweight incremental data packet according to the change priority; and finally, synchronously generating a visual supervision interface fusing the BIM model, the quality anomaly annotation and the drift thermodynamic diagram at a mobile terminal, a PC terminal and a large screen terminal through a multi-resolution rendering engine. According to the invention, three core problems in the prior art that the positions of the model and the entity are mismatched, multi-terminal collaborative conflicts frequently occur and the visualization efficiency of heterogeneous equipment is low are solved, and the accuracy, the collaboration and the decision-making efficiency of road and bridge engineering quality supervision are remarkably improved.

The invention discloses a house and land integrated ownership investigation and registration application method based on a mobile internet terminal. Comprising a house and land integrated ownership information input module, a house and land integrated photo input module, a house and land integrated graph drawing module, a building area calculation module, a building household-splitting graph generation module, a cadastre questionnaire export module, a real estate registration application form export module and a signature module. Real estate field investigation is developed based on the mobile tablet, the efficiency and quality of field investigation are improved, paperless and electronic plotting of field investigation is achieved, and the applicant field application registration service is synchronously achieved.

Techniques for using Home Addresses, Mobile Internet Protocol (MIP), and / or other techniques in conjunction with Domain Name System (DNS) to obfuscate server-side addresses in data communications. Rather than having DNS provide a client device with an IP address of an endpoint device, such as a server, the DNS instead returns a Home Address that is mapped to the client device and at least one server IP address of the endpoint device. In this way, IP addresses of servers are obfuscated by a network mapping of the Home Addresses and the server IP addresses. The client device may then communicate data packets to the server using the Home Addresses as the destination address, and a virtual network service that works in conjunction with DNS can encapsulate the data packet with the server IP addresses and forward the data packet onto the server.

The invention discloses a remote merchant inspection method, which belongs to the technical field of mobile internet, and comprises the following steps: obtaining and analyzing an inspection task package to be audited, splitting data, then carrying out relevance verification, and screening out space-time abnormal data; identifying an image scene and calling a corresponding exclusive model, and triggering cascade calling when multiple scene features exist; extracting image feature detection quality and compliance, and fusing scores to generate a result; manual auditing is pushed according to the priority, and difference information is recorded; integrating the multi-dimensional score, outputting a result, and synchronizing the result to a risk control system; collecting samples every day, and updating the model regularly; traditional manual in-shop inspection is replaced by remote data analysis and relevance verification, the manpower and travel cost in a cross-regional and high-frequency scene is greatly reduced, time-consuming links such as shift arrangement and road are omitted, the inspection efficiency is remarkably improved, and by means of multi-dimensional data relevance verification, scene AI quality inspection and double-layer priority auditing, the inspection efficiency is greatly improved. And the problems of on-site picture counterfeiting, missing shooting and the like are effectively avoided.

The invention relates to the technical field of mobile communication and Internet of Things, and discloses a heterogeneous network space multi-level mobile Internet of Things cloud system based on artificial intelligence, which comprises a data acquisition module for acquiring real-time state data of a mobile Internet of Things terminal and generating a standardized network-service joint situation vector; the endogenous interference sensing module is used for generating a network interference association diagram based on the vector; the service-network dynamic decoupling module is used for reversely reconstructing terminal service characteristics according to the association diagram and decoupling a key network state sequence; the business intention abstraction module constructs a heterogeneous network cooperation state target according to the sequence; the collaborative scheduling strategy generation module is used for generating a multi-dimensional collaborative scheduling instruction by using a collaborative decision model; the network resource self-growing module is used for performing state sequence evolution after the rehearsal instruction and constructing a compensation network plane; and the instruction distribution and verification module is used for executing the instruction of the fusion compensation logic and updating the association diagram. According to the method, the problems of heterogeneous network interference and scheduling lag of the mobile Internet of Things are effectively solved.

The invention discloses a gateway dynamic self-coding system and method based on a model context protocol, and the system comprises an inspection module which is used for monitoring the states of all equipment nodes in a gateway system, and recording the corresponding node element information if the states of the equipment nodes change; the model context protocol management module is used for constructing a context request based on a model context protocol when the state of the equipment node changes; the AI engine is used for acquiring node element information based on the context request and generating a tool calling instruction based on a model context protocol according to the node element information; the mapping relation generation engine is used for generating a mapping module according to the tool calling instruction; and the self-encoding module is used for generating a service configuration script corresponding to the equipment node according to the tool calling instruction and the mapping module. According to the invention, the remote operation and maintenance cost can be reduced, the whole process from equipment discovery to business online is intelligent and automatic, and the method can be widely applied to the technical field of mobile internet.

The invention discloses a software testing method and device based on a mobile internet and a medium, and relates to the technical field of software testing. The method solves the problem that a current software testing method is not provided with an adaptive software testing method based on a correlation analysis result of a certain function module and an associated function module in software. The method comprises the following steps: calculating the coupling degree of a to-be-tested function and a conventional function; setting test cases corresponding to different to-be-tested functions in the to-be-tested software and test times of the test cases based on the coupling degree grade; performing a first round of test on different to-be-tested functions in the to-be-tested software, and judging the to-be-tested functions to perform a user test or generate a test abnormal signal according to a first round of test result; and performing a user test on the to-be-tested function, obtaining a user test value of the to-be-tested function by the user test, and generating a corresponding signal according to the user test value, and realizing the adaptation detection of the function in the software by combining the correlation analysis of the function module in the software and the associated function module thereof.

The invention provides a signal optimization method and system for wireless transmission equipment, and relates to the technical field of wireless communication, and the method comprises the steps: constructing a movement track prediction model, and carrying out the prediction processing of communication state parameters through the movement track prediction model, and obtaining a speed sequence and a position track; performing conjugate gradient optimization and dynamic step length adjustment on the speed sequence, and further performing dynamic phase compensation on the position trajectory by the optimized and adjusted speed sequence to obtain a trajectory compensation parameter; sparse compressed sensing is carried out on communication signals of the wireless transmission equipment to obtain a sparse coefficient matrix, and a power distribution vector is determined based on the sparse coefficient matrix and the track compensation parameters; and determining a communication evaluation value according to the signal to interference plus noise ratio change and the power distribution vector of the wireless transmission equipment, and optimizing and updating the power control parameter of the wireless transmission equipment based on the communication evaluation value, thereby realizing the dynamic power control of the mobile Internet of Things terminal based on prediction compensation so as to improve the stability of signal optimization.

Disclosed are a fitting method and apparatus for a hearing earphone, which relate to the field of mobile Internet services. A specific embodiment of the method comprises: obtaining a test result of hearing threshold of a user, transmitting the test result of hearing threshold to a server, and then receiving a target compensation gain value of each of frequency bands, which value is calculated based on hearing earphone configuration information; and sending a generated pure tone signal to a hearing earphone for playing, receiving sound in an ear canal by means of an inner ear microphone arranged in the hearing earphone, so as to receive speech information generated by playing the pure tone signal, and further adjusting gain data of each of frequency bands to approximate a corresponding target compensation gain value. Therefore, the embodiments of the present invention can solve the problems of low fitting efficiency and reliability and high costs of existing hearing earphones.

The invention relates to a gymnasium resource sharing system based on a mobile internet and an implementation method thereof, and aims to solve the problems that a traditional gymnasium is low in resource allocation efficiency, difficult in user decision making, lack of transaction trust, homogenized in service and the like. According to the invention, a four-in-one framework of intelligent matching, block chain transaction, two-way evaluation and personalized recommendation is constructed; an intelligent matching module is in real-time butt joint with user demands and dynamic resources of a gymnasium through a multi-factor decision model, and supports cross-regional payment permission transfer according to times; the block chain transaction module integrates digital currency payment and an intelligent contract, and realizes fund supervision and automatic settlement in combination with verification of the Internet of Things; the two-way credit evaluation module establishes a user and gymnasium mutual evaluation mechanism, and dynamic credit sub-drive service quality optimization; and the personalized recommendation module predicts a fitness interruption risk based on the LSTM neural network, and generates a customized scheme to activate a long tail demand.

1. The name of the design product: 5G wireless WIFI device (B51 series H). 2. The use of the design product: the design is used to provide 5G mobile Internet access service for terminal devices such as mobile phones, computers and tablets. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

Techniques for using Prefix Address Translation (PAT), Mobile Internet Protocol (MIP), and / or other techniques to anonymize server-side addresses in data communications. Rather than allowing a server and / or endpoint have visibility of a client IP address of a client device accessing the server and / or endpoint, a virtual network service instead returns a PAT IP address that is mapped to the client device and / or the endpoint device. In this way, IP addresses of clients devices are obfuscated by the virtual network. The client device may then communicate data packets to the server and / or endpoint using the PAT IP address as the source address, and the virtual network service that works in conjunction with the server and / or endpoints can convert the PAT IP address to the actual IP address of the client for return packets using PAT and forward the return packet onto the client device.

This invention discloses a hospital mobile internet message push system based on a WeChat service account, relating to the field of mobile internet technology. A data entry and collection module is responsible for entering the current patient's medical records and obtaining the patient's past medical records. An evaluation message push update frequency unit calculates and outputs the current update frequency GP. A message push priority measurement unit calculates and outputs the push priority YJ. An update frequency push adjustment unit receives the update frequency GP and push priority YJ as inputs and calculates and outputs an adjustment coefficient GT. An execution push adjustment module adjusts the message push according to the adjustment coefficient GT. A blockchain node module runs, stores, and verifies the data entered, calculated, pushed, and updated on each node of the blockchain. This invention, by combining blockchain technology, realizes real-time updates of patient health data, priority calculation of message pushes, and dynamic adjustment of blockchain message verification and update frequency.

The present invention provides an order quality evaluation model training method, evaluation method, device and medium. The method includes: obtaining an initial sample set according to mobile Internet number card order data, the initial sample set including the user's original feature vector, conversion rate and first recharge number; obtaining a mixed sample set, a sample set of users from other networks and a sample set of users from this network according to the basic feature vector in the initial sample set; the basic feature vector is a feature vector shared by user samples from this network and user samples from other networks; constructing and training a random forest model according to the mixed sample set, the sample set of users from other networks and the sample set of users from this network, obtaining a trained random forest model, the random forest model is used to output the conversion rate and the first recharge number according to the user's feature vector, and the conversion rate and the first recharge number are used to evaluate the order quality. The method of the present invention can effectively, scientifically and accurately evaluate Internet number card orders.