524 results about "Information appliance" patented technology

The invention relates to the field of building intellectualization, in particular to a digital twinborn mixed cloud edge collaborative intelligent house building group operation and maintenance intelligent system, which establishes a digital twinborn scene database by collecting building basic information, equipment operation data and environmental parameters, synchronizes the digital twinborn scene database to edge equipment, and uses BIM, GIS, Internet of Things, 5G and AI technologies to establish a digital twinborn scene database, so as to realize the intelligent operation and maintenance of a building group. A virtual-real combined digital intelligent building scene is constructed, real-time synchronization of a virtual scene and a physical environment is realized through AR / VR equipment, and an operation and maintenance module comprises multi-source heterogeneous data fusion, edge intelligent analysis decision, adaptive model training and iterative optimization, a predictive maintenance algorithm of virtual-real mapping and a multi-level collaborative decision and autonomous scheduling mechanism. And the monitoring module monitors the state and operation condition of the edge equipment, provides data service and supports visualization of management decisions, and the system effectively improves the intelligence and digitization level of operation and maintenance of the building group.

The invention discloses a warehouse logistics visual monitoring system based on digital twinning, and belongs to the technical field of warehouse logistics fault monitoring, and the system specifically comprises the steps: collecting various data in a warehouse environment, including a warehouse architecture, an article position, inventory information, equipment state data and personnel activities, carrying out the preprocessing, and obtaining a database; constructing a hierarchical digital twinborn model and a constructed virtual-real space real-time mapping system on the basis of various data in the preprocessed storage environment, performing simulation prediction on operation of storage equipment by using the digital twinborn model, performing multi-dimensional monitoring on storage logistics, constructing a fault prediction model, and predicting and analyzing faults of the storage equipment; according to the method, virtual-real compensation optimization is carried out by using Kalman filtering and an optimization algorithm, and the precision of the digital twin model is improved, so that potential fault risks can be identified in advance, early warning can be given out in time, the equipment fault rate is greatly reduced, the maintenance cost is reduced, and the normal operation time of equipment is prolonged.

The invention provides a resource allocation method and system based on edge cloud, electronic equipment and a storage medium. The method comprises the steps that a data acquisition module acquires environment information in an edge cloud environment; wherein the environment information comprises application load information, equipment performance information and user behavior information; the data analysis module analyzes and processes the environment information to obtain an application load prediction result, an equipment capability evaluation result and a behavior analysis result, and determines an initial resource allocation strategy according to the application load prediction result, the equipment capability evaluation result and the behavior analysis result; optimizing the initial resource allocation strategy to obtain a target resource allocation strategy; the resource allocation module allocates the computing resources according to the target resource allocation strategy; and the monitoring feedback module monitors the use state of the computing resources in real time and feeds back the use state to the data analysis module, so that the data analysis module adjusts the target resource allocation strategy according to the use state.

The invention belongs to the technical field of power information security, and discloses a power network context scene association access control method and system, and the method comprises the steps: obtaining an access request and multi-dimensional context information associated with the access request, the multi-dimensional context information comprises at least one of time information, position information, equipment state information, user behavior information and network environment information, analyzing the multi-dimensional context information, identifying a power business scene to which the current access request belongs, and dynamically generating or adjusting an access control strategy for the current access request; and performing an access control operation on the access request based on the dynamically generated or adjusted access control policy. According to the method, the access control strategy can be dynamically adjusted according to the real-time context and the specific service scene of the power network, the accuracy, the flexibility and the safety of access control are improved, and the method effectively adapts to a complex and changeable power network operation environment.

The invention discloses a bank flow risk assessment method and an application system. The method comprises the following steps: acquiring first multi-modal data; wherein the first multi-modal data comprises a bank statement, equipment information corresponding to the bank statement, a user portrait corresponding to the equipment information, a social network relationship and a geographic position; inputting the first multi-modal data into a risk scoring model to obtain a risk level corresponding to the first multi-modal data; and performing risk monitoring according to the risk level. In this way, the accuracy and efficiency of a financial institution for identifying the enterprise fund flow state and the potential risk can be improved.

A glasses-type wearable information device transfers, when a notification from an application is received, the notification to another wearable terminal in a case where the glasses-type wearable information device is not in use, and does not perform display control to project the notification into a field of vision of a user.

The invention relates to an intelligent port cargo scheduling method based on the Internet of Things, and the method comprises the steps: collecting cargo state information, equipment position coordinates, operation progress data and environment parameters in real time through Internet of Things sensor nodes disposed on a quay crane, a container truck, a storage yard sling and a cargo carrier, and fusing a port GIS map and a berth plan based on the real-time collected data, and establishing a multi-objective optimization model with maximization of the quay crane-container truck-storage yard cooperative efficiency as an objective and minimization of equipment conflict avoidance and path overlap as constraint conditions, and dynamically activating or sleeping storage yard operation partitions and adjusting the number of container truck marshalling according to the obtained storage yard congestion prediction index and the parking space vacancy rate.

A display improvement support method and device for improving a display in accordance with the user's conscious reaction is provided. [Solution] In the display object improvement support device, the generation AI control unit executes the following steps: a reaction prediction prompt generation step of generating a reaction prediction prompt that instructs the generation AI to predict the reaction that will occur in the mind of a virtual user having user profile information of at least one of age, sex, occupation, height, and weight when the virtual user uses the display object; a reaction acquisition step of inputting the reaction prediction prompt into the generation AI and acquiring reaction information, which is information related to the reaction, from the generation AI; a screen operation prediction prompt generation step of generating a screen operation prediction prompt that instructs the generation AI to predict the screen operations that the user will perform on the screen of an information device based on the reaction information; and a screen operation acquisition step of inputting the screen operation prediction prompt into the generation AI and acquiring screen operation information, which is information related to screen operations, from the generation AI.

The invention relates to the technical field of data processing, provides a configuration method and system based on a BIM digital base, and greatly reduces manual intervention and reduces uncertainty and error risks caused by manual operation through automatic analysis and component feature extraction of a BIM model and configuration element matching and control mechanism derivation. It is ensured that the whole configuration process is more efficient, accurate and stable; a control mechanism is deduced based on a topological relation, and a visual state is dynamically updated according to real-time external data, so that response can be made by closely following the working condition change of the equipment, the smoothness of cooperative work between the equipment is guaranteed, and the overall operation efficiency is improved; an interaction channel among BIM model data, equipment real-time operation data and a control instruction is opened, organic integration of building information, equipment operation information and control logic is realized, and a solid data and technical foundation is laid for advanced applications such as subsequent intelligent operation and maintenance, digital twinning and the like.

A function of a user-controlled virtual assistant (UCVA) device, such as a smart speaker, can be augmented using video or image information about an environment. In an example, a system for augmenting an UCVA device includes an image sensor configured to monitor an environment, a processor circuit configured to receive image information from the image sensor and use artificial intelligence to discern a presence of one or more known individuals in the environment from one or more other features in the environment. The system can include an interface coupled to the processor circuit and configured to provide identification information to the UCVA device about the one or more known human beings in the environment. The UCVA device can be configured by the identification information to update an operating mode of the UCVA device.

The invention provides an equipment full life cycle management system and method, a storage medium and equipment. The system comprises an equipment full-life-cycle management module which is configured to be used for overall management of equipment information in a life cycle; the equipment monitoring module is configured to be used for monitoring the equipment state according to the equipment real-time data and triggering an alarm based on a preset early warning condition; the equipment detection module is configured to be used for detecting and maintaining equipment based on a preset period; the fault management module is configured to receive and respond to the fault report from the equipment monitoring module; and the health management module is configured to perform preventive maintenance and health assessment on the equipment and predict potential fault risks. According to the equipment full-life-cycle management system, the reliability and the management efficiency of the equipment are improved.

The embodiment of the invention relates to the technical field of wafer production scheduling, and discloses a wafer factory batch production scheduling method and device, a medium and a product. Acquiring batch information, equipment state information and equipment maintenance information of wafers to be processed; determining an objective function of the scheduling model, wherein the objective function includes minimizing processing time of equipment, minimizing idle time of the equipment, minimizing use of replacement slices, equipment load balancing and high-priority batches; determining constraint conditions of the scheduling model, wherein the constraint conditions comprise single-equipment continuous processing limitation of each wafer batch, batch grouping requirements based on the same process formula, and cleaning requirements after equipment batch processing; and according to the wafer batch information to be processed, the equipment state information, the equipment maintenance information and the scheduling model, generating a scheduling scheme and outputting a Gantt chart. The technical problem that wafer scheduling depends on manual scheduling can be at least solved.

The invention discloses a registration method and device of security and protection equipment, electronic equipment and a storage medium, and the method comprises the steps: receiving equipment information sent by target security and protection equipment, and the equipment information comprises an equipment identifier; determining a first target data type according to the equipment identifier, wherein the first target data type is one of data types of multiple data generated in the operation process of the target security equipment; a first verification requirement is generated according to the first target data type, the first verification requirement is sent to the target security and protection equipment, and the first verification requirement is used for indicating the target security and protection equipment to send first verification data; receiving first verification data sent by the target security and protection equipment, and determining an identity verification result of the target security and protection equipment according to the first verification data; and if the identity verification result is that the verification is passed, generating registration information of the target security and protection equipment, and sending the registration information to the target security and protection equipment. According to the invention, the credibility of the identity verification result in the registration process of the security and protection equipment can be improved.

Examples are disclosed herein relating to memory paging. In some examples, a host device is configured to communicate with an expansion device. The expansion device can include first and second memory, and a device virtual memory address (DVA) table. The expansion device can store data that can be requested by the host device. The first memory is a cache for the second memory based on a page presence table (PPT). The PPT can indicate a presence of second memory pages in the first memory cache. The DVA table can include information to locate data in the first memory based on a host physical memory address of a memory request. The device physical memory address can identify a memory location at which the data is stored. The data can be provided from the expansion device to the host device in response to the memory request based on the PPT.

A method performed by a wireless device (131). The wireless device (111) operates in a wireless communications network (100). The device monitors (504), in sleep mode, using a first receiver, which is a WUR, whether a first radio signal is received. The signal indicates the device is in coverage of a node (101). The monitoring (504) is performed with the proviso the device has obtained information to send. The device also sends (508) the information based on whether it receives the signal. If the device receives the signal, the signal wakes-up a second receiver, sends the information using the second receiver, goes back to sleep, and c) refrains from monitoring (504) with the proviso the device lacks further information to be sent. If the device fails to receive the signal, it stores the information and b) stays in sleep mode, until it sends the information, using the second receiver, when the wireless device (131) receives the signal.

A device may maintain, as a member of a two blockchain networks respective first and second blockchains. The first blockchain may include one or more sets of operations, and the second blockchain may include cross-chain authorization information. The device may identify a request to invoke a particular set of operations included in the first blockchain, where the request includes a set of input parameters and an identifier. The device may determine that the identifier satisfies the cross-chain authorization information included in the second blockchain, and may accordingly communicate with the second blockchain network to execute the particular set of operations. Executing the particular set of operations may include generating a set of output parameters. The device may output the set of output parameters in response to the request.

The invention discloses a transformer substation abnormity intelligent diagnosis method based on a self-attention mechanism, and relates to the technical field of transformer substation abnormity identification, and the method comprises the following steps: S2, employing a computer vision technology, a sensor, an ultrasonic detector, and a current and voltage detector to collect the electrical parameters of equipment, and completing the collection of multi-source data; s3, realizing a virtual mirror image of the physical equipment by using a digital twinning technology; and S5, analyzing and processing the important information in the database through a self-attention mechanism, and predicting the health trend, risk point and service life of the substation equipment. According to the method, image information and equipment parameters of substation equipment are collected in real time, an attention weight matrix of data is obtained through calculation, multi-source data are associated, the fault probability is output, then a regression device is used, key parameter values of multiple time points in the future and the remaining service life are output, and the service life of the substation equipment is calculated. And predicting the health trend, the risk point and the service life of the substation equipment.

Embodiments of the present application provide a communication method and a communication apparatus, which can send a first signal on the basis of first information. The method comprises: an AIoT device sends a first signal on the basis of first information, the first information comprising one or more of the following: a first sequence configuration corresponding to the first signal; a configuration used for estimation of a non-ideal factor; a guard band configuration of the first signal; a transmit power configuration of the first signal; or a configuration of a sub-channel of the first signal. The sub-channel is configured on the basis of a system bandwidth or a transmission bandwidth or an occupied bandwidth of an AIoT system, or the sub-channel can also be configured on the basis of a transmission bandwidth or an occupied bandwidth of the first signal, and the sub-channel is used by the AIoT device to send the first signal. The first signal is applied to the AIoT system.

Wearable electronic devices can be equipped with global positioning system (GPS) location sensors that can be used to determine its latitude and longitude coordinates. The device can include a magnetometer sensor to determine its direction on a digital compass. The device can be used to configure the location of a GPS boundary. The size and shape of the boundary can be configured on either the wearable device or a separate computing device. The wearable device can be either inside of a boundary or outside of a boundary. The boundaries can have assigned priority levels that may determine the information displayed on the device. The device can traverse boundaries of different priority levels that may determine the information displayed on the device. The device's boundary status can be relayed to a server for data processing.

The invention discloses a wireless network security management method and system. In the method, a system initialization module completes initialization, calls a key management module to generate signatures of a platform end and wireless equipment and encrypts asymmetric key pairs, and a wireless equipment management module records basic information of storage equipment. Before wireless equipment accesses, an authentication request containing first encryption information and first signature information is initiated through a request gateway module, after a platform end decrypts and verifies the signature to complete equipment authentication, second encryption information and second signature information are returned, and an equipment end decrypts and verifies the signature to complete bidirectional authentication. And network access is allowed in combination with the white list and the equipment registration state, and an administrator completes identity authentication and authority verification through the user authority management module and the request gateway module. After the equipment accesses the network, heartbeat communication and bidirectional authentication are carried out at regular intervals, equipment communication is controlled through a network communication strategy, and operation monitoring, situation analysis and log auditing are synchronously carried out. According to the invention, the problems of high access and operation and maintenance management security risk and the like in the prior art are solved.

The invention discloses a login authentication method, which is used for realizing an overseas user-oriented number taking technology. The login authentication method comprises the steps that an authentication SDK responds to a number taking request of a target application, equipment information of terminal equipment where the authentication SDK is located is acquired, the equipment information comprises a data traffic type used by the terminal equipment, and the data traffic type comprises overseas traffic or overseas roaming traffic; sending a number taking request to an authentication server matched with the data traffic type, and receiving a local number returned by the authentication server for the number taking request; the authentication SDK sends an authentication request to an authentication server in response to the authorization operation; the authentication server returns an authentication token to the authentication SDK in response to the authentication request; the authentication SDK sends the authentication token to the target application; the authentication token is used for the target application to request the application server to perform login authorization processing.

The invention provides an electronic component model acquisition method based on time-sharing fusion imaging, a medium and a product, and relates to the technical field of 3D imaging. The method comprises the steps that a plurality of light sources are utilized to irradiate a target electronic element one by one, images of the target electronic element under irradiation of different light sources are collected, colors of light emitted by the different light sources are different, and the angles of the different light sources relative to the target electronic element are different; according to the embodiment of the invention, the image of the target electronic component can be obtained through a multi-color multi-angle time-sharing fusion imaging mode, the matching degree of the three-dimensional model and the target electronic component is improved, the model precision is high, the color information of the electronic component can be accurately obtained, the equipment cost is low, and the implementation is easy. The model obtaining efficiency is high, and production requirements are effectively met.

The embodiment of the invention provides a semantic map processing method and device for cleaning equipment, electronic equipment and a storage medium, and relates to the technical field of smart home equipment, and the method comprises the steps: obtaining target data corresponding to a voice annotation instruction, the target data at least comprising coordinate information, equipment parameters and a first timestamp, then, key semantics corresponding to the voice annotation instruction can serve as semantic tags, sound source localization compensation is conducted on the first timestamp according to the coordinate information and the equipment parameters, a second timestamp is obtained, then a map is updated based on the coordinate information, the second timestamp and the semantic tags, and a first semantic map corresponding to the cleaning equipment is obtained; therefore, the cleaning equipment can quickly realize map labeling based on the voice instruction, the operation threshold of a user is reduced, meanwhile, in the labeling process, through sound source positioning compensation, alignment of the voice instruction in time and space is ensured, and the accuracy of a voice standard is improved.

The invention provides an Internet of Things equipment defense resource allocation method and device and terminal equipment, and is suitable for the technical field of the Internet of Things, and the method comprises the steps: according to Internet of Things equipment identification information, Internet of Things topological structure information, Internet of Things equipment operation state information and inter-equipment communication characterization information, determining the Internet of Things equipment defense resource allocation; obtaining equipment importance degree characterization information and equipment interaction degree characterization information; obtaining net income information of attackers and total loss information of defenders according to the initial Internet of Things equipment defense resource allocation information, the equipment attacked probability information, the equipment importance degree representation information, the equipment interaction degree representation information and the equipment attack cost and defense cost information; and according to the attacker net income information, the defender total loss information and the initial Internet of Things equipment defense resource allocation information, determining target Internet of Things equipment defense resource allocation information. The method can flexibly adapt to the dynamic change of network topology and service requirements, and effectively improves the dynamic protection capability of the Internet of Things in coping with complex attacks.

The invention relates to dynamic power sharing with power event feedback. Techniques are described for incorporating telemetry related to power source load and frequency of power control events as part of a power balancing algorithm to control electronic device power budget between devices sharing a common power source. The techniques utilize telemetry and control loop algorithms to dynamically balance power between two or more electronic components, which may include CPUs and GPUs. Techniques described herein are used to monitor power source loads and the frequency of a set of predetermined events, which may include performance and / or power control events. Based on this information, the power budget of the device may be dynamically adjusted up or down to maximize performance, which is compared to conventional use of artificial static performance upper limits.

The embodiment of the invention relates to a security authentication method and device for eSIM network access, electronic equipment and a storage medium, and the method comprises the steps: obtaining first eSIM identification information, first equipment identification information and first user identification information in response to a received network access request; determining a verification hash value based on the first eSIM identification information, the first device identification information and the first user identification information; the verification hash value is sent to the cloud server and the equipment security chip for verification, the cloud server activates the network under the condition that the verification hash value passes verification, and the equipment security chip accesses the network under the condition that the verification hash value passes verification. According to the scheme, data of multiple dimensions of eSIM identification information, equipment identification information and user identification information are fused through Hash, deep association of different data is achieved, an irreversible multi-dimensional binding certificate is formed, multiple pieces of data need to be stolen at the same time for cracking, clone attacks can be effectively prevented, and the purpose of resisting man-in-the-middle attacks is achieved.

The invention discloses a security risk control analysis method and device based on a large model, and relates to the technical field of security risk control. The method comprises the following steps: acquiring first behavior data corresponding to a target account; feature extraction is carried out on the first behavior data to obtain target feature information, and the target feature information comprises single-day access data volume information, target IP address information, equipment fingerprint information and access time information; inputting the target feature information into a preset AI analysis model for processing to obtain a first analysis result; determining a first behavior label according to the first analysis result, and determining a risk processing scheme based on the first behavior label; and binding the first behavior tag with the target account, and performing security management and control on the target account corresponding to the user according to the risk processing scheme. By implementing the technical scheme provided by the invention, the problems existing in the traditional risk control means are effectively solved, and the accuracy and processing efficiency of risk identification are improved.

The invention relates to the technical field of data processing, in particular to a multi-source data privacy calculation method and system based on federal learning. The method comprises the following steps: in an industrial Internet of Things equipment environment, acquiring equipment operation state information, equipment production data and equipment environment parameters from a plurality of heterogeneous equipment to obtain equipment multi-source privacy data; carrying out distributed key processing on the multi-source privacy data of the equipment to generate a multi-source privacy key fragment, and enabling each piece of equipment to hold a part of key fragment; and obtaining equipment participating in federated learning and a federated learning task. According to the method, encryption calculation transmission of multi-source privacy data of the equipment is realized through a federated learning technology and a privacy calculation technology, and meanwhile, edge calculation and a cloud server are utilized to cooperatively complete data aggregation and incremental updating, so that the data privacy in an industrial Internet of Things equipment environment is improved.