38 results about "Information assurance" patented technology

The invention provides an intelligent building operation and maintenance management and control platform based on digital twinning, and relates to the technical field of intelligent buildings. A data preprocessing module; a digital twinborn model construction module; a simulation test space construction module; an instruction execution and evaluation module; a synchronous execution module; an information guarantee module; according to the invention, equipment operation parameters, environment data and historical fault information data in a building are collected, data transmission and protocol conversion are carried out through a standardized communication protocol, a simulation test space for evaluating the safety of a function module is constructed, and a fault knowledge graph is generated based on historical fault information; building equipment fault modes, energy consumption rules and space use efficiency are analyzed and excavated based on a fault knowledge spectrogram, and data fusion, intelligent analysis and closed-loop control are realized by constructing virtual mapping of a physical building through a digital twinning technology, so that a traditional operation and maintenance pain point is broken.

The present application belongs to the technical field of communications. Disclosed are an uplink information sending method, devices, and a storage medium. The method comprises: when a first resource and a muting resource overlap, transmitting, on the basis of a preset rule, first information by means of a first uplink channel in part of the first resource, wherein the first resource is a resource for transmitting the first uplink channel. In the technical solution provided in the embodiments of the present application, when a first resource and a muting resource overlap, a terminal determines, on the basis of a preset rule, the resource within the first resource that is used for transmitting first information and sends the first information to a network device, thereby ensuring that the first information is transmitted in a first uplink channel, and avoiding conflicts between the muting resource and the resource for transmitting the first information, and thus improving the efficiency and reliability of uplink information transmission.

The embodiment of the present disclosure discloses an identity information acquisition method, an operation service end and a system. The method comprises the following steps: a digital currency system generates a pull parameter acquisition request; the digital currency system sends the pull parameter acquisition request to an operation service end associated with a user wallet, so that the operation service end generates a ticket identifier acquisition message, and acquires a ticket identifier from an identity authentication service end based on the ticket identifier acquisition message; the digital currency system acquires an authorization code from the identity authentication service end according to a pull parameter response; the operation service end sends an encrypted access token acquisition request and an encrypted identity information acquisition request to the identity authentication service end, so that the identity authentication service end returns identity information of the user wallet according to a to-be-acquired identity information list. The embodiment of the present disclosure uses the mechanism of "authorization code" and "access token", effectively acquires user identity information, and guarantees the safe and stable operation of the digital currency system.

Embodiments of the present application relate to the field of communications, and provide a communication method and a communication apparatus, which can be applied to a policy control entity. The method comprises: when acquiring first stream information, i.e., stream information corresponding to a data stream of a service transmitted between a server and a relay entity, a policy control entity can acquire, on the basis of the first stream information, corresponding second stream information, i.e., stream information corresponding to a data stream of a service transmitted between a terminal and the relay entity. In this way, the quality of service of a data stream between a terminal and a relay entity can be guaranteed on the basis of second stream information.

The invention discloses a material supply chain data hierarchical mapping method and device based on target feature labeling. The method comprises the following steps: acquiring material supply chain data of each supply node; performing parameter matching from a multi-kernel parameter library according to the material supply chain data of each supply node, and determining a target multi-kernel function corresponding to each supply node; performing target feature extraction on the material supply chain data by using a convolutional neural network model to obtain depth target features; fusing the basic target features and the depth target features based on the basic target features of the material supply chain data in combination with a target multi-kernel function to obtain fused target features; and analyzing the mapping level of the fusion target feature of each supply node in each mapping sub-model, and giving a target mapping result. Layered mapping is carried out through the difference of target features of all data points in the material supply chain to adapt to information of different levels in the material supply chain, and automatic layered authentication and identification of electronic data trust strength are guaranteed.

The invention discloses an ultra wide band module testing method and device, and belongs to the technical field of testing, the method is applied to a testing system comprising an ultra wide band module, terminal equipment and a cloud platform, the ultra wide band module is tested by a mobile terminal, a two-dimensional code identifier, a serial number and testing result information of the ultra wide band module are comprehensively obtained, and data integrity is guaranteed; and the information and the corresponding test time are uploaded to a cloud platform to realize efficient transmission. The cloud platform verifies the two-dimensional code identifier and the serial number, and accurately judges the uniqueness and accuracy of the data: if verification succeeds, the data is stored, and subsequent tracing is supported; if not, the data are not stored to avoid invalid data interference. The process standardizes the test flow, prevents missed detection and false detection, ensures data reliability, provides key support for the consistency of ultra-wideband module products, improves the quality of the ultra-wideband module products so as to meet the requirements of robot elevator modules, improves the customer satisfaction, and has significant value.

The invention discloses a system and method for solving large model illusion caused by external pollution data, and relates to the technical field of large model agents, the system comprises a user interaction end, a large model service agent and a Guardrail fence agent arranged between the user interaction end and the large model service agent; the Guardrail fence agent comprises an input detection module, a pollution judgment module, a dialogue cleaning module, a model feedback module and a self-learning module which are connected in sequence; and the self-learning module is respectively connected with the pollution judgment module and the large model business agent. The method is strong in dynamic nature, can identify and clear pollution data in real time, reserve effective information, guarantee continuity and accuracy of multiple rounds of dialogues, can be deployed in any large model system as a plug-in module, does not need to modify a bottom layer structure and training parameters of a large model, avoids model illusion caused by pollution data accumulation, and is high in practicability. And the reliability and the safety of the output content of the large model are improved.

The embodiment of the invention discloses an identity information acquisition method, an operation server and a system. The method comprises the steps that a digital currency system generates a pull-up parameter acquisition request; the digital currency system sends a pull-up parameter acquisition request to an operation server associated with the user wallet, so that the operation server generates a bill identifier acquisition message, and acquires a bill identifier from an identity authentication server based on the bill identifier acquisition message; the digital currency system obtains an authorization code from the identity verification server according to the pull-up parameter response; and the operation server sends an encrypted access token acquisition request and an encrypted identity information acquisition request to the identity authentication server, so that the identity authentication server returns the identity information of the user wallet according to the to-be-acquired identity information list. According to the embodiment of the invention, mechanisms such as the authorization code and the access token are used, the identity information of the user is effectively obtained, and safe and stable operation of the digital currency system is guaranteed.

Provided in the embodiments of the present disclosure are an information generation method, an electronic device, a storage medium, and a program product. The method comprises: in response to the reception of target question information, invoking a question rewriting model to rewrite the target question information into at least one sub-question; invoking a generative model to determine an answer generation mode corresponding to each sub-question among the at least one sub-question; using the corresponding answer generation mode to generate sub-answer information corresponding to each sub-question; and on the basis of each piece of sub-answer information, obtaining answer information corresponding to the target question information. In the embodiments of the present disclosure, target question information is rewritten and an answer generation mode adapted to each sub-question is used to generate answer information corresponding to each sub-question, thereby ensuring the accuracy and recall of generated answers.

The invention provides a data processing method and device for adaptive adjustment of charging and discharging parameters of a super capacitor, and is applied to the technical field of data processing. According to the method, a full-process self-adaptive system is constructed around the requirement of a variable pitch backup power supply of a wind turbine generator set: firstly, real-time state data of a super capacitor are collected, and overall operation real-time data and preliminary evaluation are generated through anomaly elimination and trend analysis processing; setting a multi-level threshold value by combining the environment temperature and the charging and discharging frequency, applying capacitance characteristic constraint and a variable pitch safety target, and generating an alarm and state report; the charging current is automatically adjusted according to the alarm level, the floating charge voltage is adapted, and parameters are dynamically adjusted to form an automatic scheme; mining a historical data capture performance attenuation rule, predicting a future state and optimizing parameters; finally, multi-link information is integrated, evaluation dimensions and indexes are set, comprehensive evaluation information is generated, the stability of the variable pitch system is guaranteed, and the operation and maintenance cost is reduced.

The present application relates to the technical field of information entry, and discloses a multi-terminal adaptive labeling system for preoperative information entry of children, which comprises a multi-terminal interaction module for receiving preoperative basic information of a single child from various terminals; an integrity checking module for checking whether the preoperative basic information entered by any terminal is missing, and if so, generating a corresponding preoperative core information dimension-specific completion prompt until the preoperative complete information of the single child is obtained; an adaptive labeling module for determining an adaptive labeling granularity based on the type of the terminal for entering the preoperative complete information, and dynamically matching and labeling non-professional entry information in the preoperative complete information of the single child based on a child specialty terminology library and the adaptive labeling granularity; and a secondary verification module for triggering a secondary verification prompt based on structured evaluation items and cross-terminal entry conflict information until the preoperative standard information is obtained; thus, the quality of preoperative information of children is ensured, and reliable basis is provided for preoperative evaluation of children.

The invention relates to the technical field of warehouse management, in particular to a storage control method, device and equipment and a storage medium. Optimizing the historical operation parameters according to the actual delivery quantity and a preset optimization parameter formula to obtain current operation parameters; entering a material storage working state according to the current operation parameters; when the material storage working state is a material storage completion state, material storage completion working information is generated according to a preset time difference range; the actual required warehouse-out quantity is accurately generated according to the warehouse-out material codes, the current operation parameters are obtained by multiplexing historical operation parameter optimization, traceable information is generated after the storage working condition-cooling working condition is judged to reach the standard, the technology and material quality are guaranteed, manual intervention is reduced, the working efficiency is improved, and the universality is high.

The invention discloses a vaccination behavior intervention system and method, and belongs to the technical field of vaccination management. The system comprises a security and privacy module, a user health file module, a personalized behavior intervention module, an NLP module, a data acquisition and analysis module, a real-time feedback module and the like, security and privacy are guaranteed by setting login authority and encrypting user information, a personalized intervention plan is made by using the user health file, a user language is processed to obtain an inoculation intention, and an inoculation information generation report is analyzed. And further adjusting the intervention plan and carrying out reminding and follow-up. Compared with a traditional intervention means, the vaccination method can overcome the limitation that the information spreading speed is low, and accuracy and individuation are insufficient, individual vaccination behaviors are intervened and guided in real time through an intelligent means, the vaccination rate of the public can be increased, and public health challenges can be coped with.

The application discloses a kind of method and equipment based on cluster architecture video equipment access load balancing, it is related to intelligent monitoring technical field, method includes: constructing the video access cluster including master node and slave node, provides the unified access management interface of equipment addition, modification, deletion to outside, and complete real-time data synchronization of equipment information in master-slave switching process;Receive the access request initiated by video equipment, in combination with equipment protocol type and each access node real-time running state, call load balancing scheduling algorithm to calculate optimal access node;When detecting node failure, offline or load exceeds preset threshold, automatically trigger equipment secondary distribution process, and migrate affected equipment to healthy access node;According to scheduling allocation result, load access driver matched with equipment protocol, complete equipment and access node protocol adaptation, continuously maintain equipment running state information, guarantee video stream stable access and transmission.

This utility model relates to a high-precision sensor anti-cheating electronic scale for farmers' markets, comprising an electronic scale body and a chip body disposed inside the electronic scale body. The electronic scale body has a detachable locking component connected to a sealing box for sealing the chip body, the locking component being located within the sealing box. In this application, the sealing box is fixed to the electronic scale body by a hidden locking component, completely sealing the chip, physically preventing prying and tampering, avoiding external contact to protect the chip's initial information, and ensuring the integrity of the electronic scale's daily weighing information. A hollow cylinder with a nozzle can instantly spray insulating ceramic powder when the sealing box is forcibly opened. Compared to traditional software encryption, this physical destruction design can directly damage the chip circuitry, making it unable to read or write initial information. Furthermore, the powder is difficult to clean and has a long-term impact on the chip, preventing illegal tampering at the source, improving chip information security, and reducing weighing inaccuracies.

This application provides an information generation method, electronic device, storage medium, and program product. The method includes: in response to receiving target question information, invoking a question rewriting model to rewrite the target question information into at least one sub-question; invoking a generation model to determine the answer generation method corresponding to each sub-question in the at least one sub-question; generating sub-answer information corresponding to each sub-question using the corresponding answer generation method; and obtaining answer information corresponding to the target question information based on each sub-answer information. This application, by rewriting the target question information and using answer generation methods adapted to each sub-question to generate the answer information corresponding to each sub-question, ensures the accuracy and recall of answer generation.

The invention provides an AI model configuration method and device and a storage medium. According to the method, the first communication equipment sends the first information to the second communication equipment, and the first information is used for indicating the use range of the AI model, so that the second communication equipment can guarantee the effectiveness of the AI model in the use range indicated by the first information based on the first information, and quantitative evaluation of the performance index of generalization of the AI model is realized.

The invention discloses a smart airport whole-process collaborative decision and intelligent management and control system based on A-CDM, and relates to the field of smart airports, and the system comprises a fusion processing module which is used for collecting airport air-side flight dynamics, land-side check-in counter states, parking space occupation information and guarantee vehicle position data, constructing a data dynamic association model, integrating the collected data, and obtaining a data dynamic association model; generating a standardized collaborative decision data set; the modulation module is used for applying the standardized data set, calculating the airport real-time capacity through a preset airport capacity dynamic deduction model, and generating a next-day flight presetting plan; according to the method, multiple types of operation data such as airport air-side flight dynamics and landside service states can be accurately collected and integrated, standardized decision data is generated, a reliable basis is provided for whole-process collaboration, the airport capacity can be deduced in real time, the next-day flight plan is optimized accordingly, capacity overload is avoided, and orderly flight operation is guaranteed.

The utility model discloses a compressed oxygen self-rescuer circuit structure, which acquires data in real time through an air pressure sensing module, processes the data and transmits the data to a main control MCU (Microprogrammed Control Unit) module, provides accurate oxygen allowance information for a user and ensures the reasonability of an escape decision. The power management module outputs stable voltage, reduces the influence of voltage fluctuation, prolongs the service life of a battery, reduces the maintenance cost, and improves the reliability of equipment. The wireless communication module supports Bluetooth and 2.4 GHz wireless transmission, data interaction between the self-rescuer and external equipment is achieved, and rescue work is assisted to be efficiently carried out; the display module clearly displays key information, and a power supply switch is intelligently controlled, so that information reading is facilitated, and electric quantity can be saved; the program downloading interface module simplifies the program burning and debugging process, so that technicians can conveniently optimize the equipment performance in time; the wake-up control module realizes low-power-consumption standby and light-touch wake-up, and ensures that the equipment can be used at any time; and the alarm module gives out an acousto-optic alarm in case of abnormity, so that a user is reminded to take corresponding measures in time.

The present disclosure provides an AI model configuration method and apparatus, and a storage medium. In the present disclosure, a first communication device sends first information to a second communication device, wherein the first information is used for indicating a use range of an AI model; and on the basis of the first information, the second communication device can guarantee the validity of the AI model within the use range indicated by the first information. Therefore, quantitative evaluation of a performance index, i.e., AI model generalization, can be implemented.

The invention discloses a privacy information guarantee system and method based on a large model, and relates to the technical field of privacy guarantee, and the guarantee method comprises the following steps: collecting information and behavior data of a scene where a user is located, recognizing the guarantee condition of privacy information, and generating an information browsing record of the user; dividing the type of a scene where the user is located; identifying and dividing the behavior data, and establishing a behavior mode model of the user; obtaining a behavior data inclusion condition of any scene type, and obtaining an abnormal association condition between the behavior data and the scene type; analyzing the distribution condition of any behavior data to obtain an abnormal characteristic value of each behavior data; carrying out risk comprehensive assessment on any information browsing record; acquiring the current scene information and behavior data of the user in real time, and performing preliminary evaluation; the expected behavior data of the user is predicted, and risk early warning is carried out on existing abnormal behaviors.

The invention discloses a user side water quality abnormity traceability analysis system based on a pipe network topological algorithm, and particularly relates to the technical field of urban water supply safety monitoring. A multi-dimensional water quality data acquisition module is used for acquiring water quality data, pipe network operation data and topological structure data of a user side and a water supply pipe network key node through a sensor; the water quality anomaly detection module is used for constructing an improved deep belief network (DBN) model fusing pipe network topological characteristics; and the real-time feedback module is used for pushing the water quality abnormity information, the abnormity confidence coefficient, the pollution tracing result and the coping suggestion to the user terminal and the water supply management department platform in real time. Through multi-dimensional data acquisition, an anomaly detection model fusing topological features and an optimized traceability algorithm, accurate identification and rapid traceability of water quality anomaly are realized, information is fed back in time, and water use safety of a user is guaranteed.

This application discloses a driving control method and a mobile device, comprising: acquiring a target driving task, target driving state data, and target sensor data of the mobile device; generating a target prompt template based on the target driving task and target driving state data; inputting the target sensor data and the target prompt template into a pre-trained multimodal diffusion model to obtain target driving control information output by the multimodal diffusion model; the multimodal diffusion model is used to fill in the content to be filled based on the target sensor data to obtain target prompt information, and to generate multiple control sub-information according to the target prompt information in a chronological order of multiple time points; and controlling the driving of the mobile device based on the multiple control sub-information. This method can obtain prompt information by filling in the prompt template based on sensor data using a multimodal diffusion model, and generate multiple control sub-information by combining the prompt information and the time order, ensuring the causal logic rigor of driving decisions and improving the reliability of the mobile device's driving.

The invention relates to the technical field of information entry, and particularly discloses a multi-terminal self-adaptive labeling system for child preoperative information entry, which comprises a multi-terminal interaction module for receiving preoperative basic information of a single child from various terminal sources; an integrity verification module detects whether the preoperative basic information input by any terminal is missing or not, and if yes, a targeted completion prompt corresponding to the preoperative core information dimension is generated until the preoperative complete information of a single child passing verification is obtained; the self-adaptive labeling module determines self-adaptive labeling granularity based on the type of an input terminal of the preoperative complete information, and performs dynamic matching labeling on non-professional input information in the preoperative complete information of a single child based on a child specialized term library and the self-adaptive labeling granularity; a secondary verification module triggers a secondary verification prompt based on the structured evaluation item and cross-terminal input conflict information until preoperative standard information is obtained; the preoperative information quality of children is guaranteed, and a reliable basis is provided for preoperative evaluation of children.

The invention provides a method and a system for evaluating closing of a killing network based on a cloud network computing technology, and relates to a method and a system for analyzing or evaluating effectiveness of a target, and the method comprises the following steps: obtaining service class data and network computing resource state data of the killing network, calculating to obtain an evaluation index C representing cloud network computing resource guarantee capability and an evaluation index E representing information guarantee capability; performing corresponding linear weighted combination on the evaluation index C and the evaluation index E according to the contribution rates of the cloud network computing resource guarantee capability and the information guarantee capability to obtain a scale capability evaluation index, a range capability evaluation index, a speed capability evaluation index and a survival capability evaluation index respectively; and according to the contribution rate, carrying out corresponding linear weighted combination on the scale capability evaluation index, the range capability evaluation index, the speed capability evaluation index and the survival capability evaluation index to obtain a killing network closing evaluation result in the task scene.

The invention provides a large model agent-oriented adaptive routing method and system, and relates to the field of large model agents, and the method comprises the steps: obtaining the information of a to-be-processed task of a certain edge agent, and evaluating whether the capability of the edge agent for processing the to-be-processed task is greater than a prediction processing threshold value or not; the edge agent sends a resource request to an adjacent node, receives a resource state reported by the adjacent node and determines the selected adjacent node; the edge agent transmits original data of the task to the selected adjacent node; the selected adjacent node processes the received original data and extracts key information from a processing result, and the selected adjacent node transmits the key information to the central cloud node through a communication channel between the selected adjacent node and the central cloud node, so that timely transmission and processing of the key information are guaranteed, and the security of the central cloud node is improved. And the response timeliness and robustness of the distributed artificial intelligence system in a sudden high-priority task scene are improved.

The invention discloses an image big data and voice interaction fused preschool education intelligent interaction system, and relates to the technical field of preschool education intelligent interaction. The data acquisition module acquires image, voice and behavior data of children and integrates static education resources; the image processing module is used for extracting emotion and action characteristics of children and optimizing images; the voice interaction module optimizes voice recognition and semantic understanding of children and supports multiple rounds of dialogues; the intelligent adaptation module constructs a personalized learning portrait and dynamically adjusts the content; the content generation module fuses the data and generates multi-type interaction content; the interactive feedback module feeds back the learning effect in real time and provides suggestions; and the security management and control module filters bad information to guarantee use security and data privacy. According to the method, the pain point of traditional preschool education is broken through, accurate personalized interaction is realized through deep fusion of images and voice, the voice interaction fluency and the learning interest of children are improved, safety management and control and parent collaboration are enhanced, and preschool education is more targeted, interesting and safe.

The application discloses a device information acquisition method and an electronic device, relates to the technical field of device management, and discloses a device asset information of each device in a server is important information for realizing device whole life cycle management and guaranteeing stable operation of the server, but the position of a key device representing core identity information of the device in a device topology is uncertain, and the hard coding mode for acquiring device information in the related art has poor flexibility, the application defines a count value in identity information of a target device on the device topology, dynamically and accurately positions to the key target device based on the count value, does not need to separately hard code and adapt for each device, and only needs to preconfigure the identity information of the device, so that more devices can be flexibly adapted, compatibility of the server for diversified devices is improved, meanwhile, when firmware is updated, the device can still be positioned by matching the identity information, accurate acquisition of the device asset information is ensured when an enumeration order of the device changes, and device updating freedom is guaranteed.

This application discloses a token acquisition method, apparatus, device, medium, and product, applicable to various scenarios such as message push, authentication and authorization, and data interaction. The method includes: receiving a target message; requesting target token information from a target cache, wherein the target token information is used to represent the token information of a target channel matching the business to which the target message belongs; if requesting the target token information from the target cache fails, requesting the target token information from the target channel, so as to send the target message carrying the target token information to the target channel. This application obtains the token information required for sending messages from three channels—the cache, the channel provider, and the target device—ensuring the validity and timeliness of the obtained token information, avoiding the problem of token information exhaustion caused by frequent token information updates, thereby improving business progress efficiency.