25 results about "Device Properties" patented technology

The invention relates to the technical field of key generation and distribution, in particular to a multi-device automatic configuration encryption method and system based on Bluetooth. The method comprises the following steps: firstly, acquiring instruction information and attributes, RSSI values and historical pairing information of to-be-distributed network equipment, and providing a data basis for configuration; core equipment is screened through instruction and attribute matching and attribute similarity analysis, and equipment strongly related to user requirements is accurately positioned; historical pairing and RSSI value quantization equipment distance weights are fused, association conditions are analyzed, and a network structure is visually presented; analyzing the path length of the core equipment based on a graph structure, dividing closely associated target equipment groups, and determining the influence range of the core equipment; finally, the differentiated dynamic key is dynamically generated in combination with the equipment attribute, the distance weight and the instruction information in the group, the scheme effectively adapts to the dynamic change scene of the equipment through association analysis and dynamic adaptation, and the communication security and specificity are improved.

A system and method for vulnerability detection. A method includes: tokenizing device attribute data for a device into at least one set of first tokens, wherein each of the first tokens is formatted according to a token schema; creating at least one device attribute string, each device attribute string including one of the first tokens; matching each of the at least one device attribute string to combinations of device attributes stored in a vulnerabilities database in order to identify at least one matching combination of device attributes for the device, wherein the vulnerabilities database stores mappings between combinations of device attributes and vulnerabilities, wherein each combination of device attributes in the vulnerabilities database includes second tokens formatted according to the token schema; detecting at least one vulnerability of the device based on the at least one matching combination of device attributes and the mappings in the vulnerabilities database.

The invention relates to a method for providing and validating cryptographically secured device identity information, in which method an initial device certificate is created as device identity information and stored in a device memory. The initial device certificate comprises device information which is selected and signed by the manufacturer and which comprises at least a device identifier, a device attribute, or a device property, and a specification of a public key assigned to a device by the manufacturer. Only after successful device authentication is an additional device certificate created, on the basis of the initial device certificate, as further device identity information and stored in the device memory. The additional device certificate comprises device information selected and signed by a user or an operator, and forms a certificate chain together with the initial device certificate. Following successful device authentication, it is possible to generate, on the basis of the additional device certificate, at least one further additional device certificate which comprises device information selected and signed by a subsequent user or operator and which can be stored in the device memory. During each identity validation of the device, only the most recently generated device certificate, or a device certificate designated for identity validation, is read out from the device memory and verified.

The facility provides an environment for creating a mixed reality (MR) application. Input specifying a property of a networked device is to be accessible in the mixed reality application is received. Properties of one or more networked devices are identified. A property selection interface is provided in the environment for creating the mixed reality application. The facility receives, via the property selection interface, selection of a networked device of the one or more networked devices and a property of the networked device. The facility configures the MR application to provide, to a device executing the MR application, access to the selected property of the selected networked device. The MR device can execute the MR application to access the selected property of the selected networked device.

The embodiment of the invention provides an equipment state display method and system, a storage medium and equipment, and relates to the technical field of geophysical prospecting operation equipment management.The method comprises the steps that the system permission level of a user is determined according to user system permission data in a user attribute table of a login user; according to the user attribute table, the system permission table, the equipment attribute table and the system permission level of the user, determining target equipment which can be viewed by the user; classifying the target devices according to the identities of the target devices to obtain corresponding classification results; determining the number of the target devices in different states according to the state of each target device of the same type in the classification result; and based on the number of the target devices in different states in all the target devices of the same type, creating and displaying a corresponding device state table. Through the method provided by the invention, the efficiency of equipment management work is improved.

The invention relates to the technical field of ship electrical equipment arrangement, in particular to a series loop electrical equipment arrangement and schematic diagram drawing method and related products. The method comprises the following steps: determining spatial region attributes of arrangement of series loop electrical equipment through a ship body structure base map, and determining protection levels of the equipment, the number and coordinate positions of required equipment, series loops to which the equipment belongs and the number of the series loops according to the spatial region attributes and preset function requirements, so that an equipment attribute information table can be generated; according to the equipment attribute information table, subsequent series loop electrical equipment arrangement and schematic diagram drawing are carried out, compared with manual drawing, the efficiency is higher, and the accuracy can be better guaranteed.

The invention belongs to the technical field of smart home / smart home, and particularly relates to an equipment configuration method and device, equipment and a storage medium, and the method comprises the steps: obtaining environment parameters of an environment where target equipment is located; determining a function support state of target equipment according to the environmental parameters, wherein the function support state is used for indicating a function availability condition of the target equipment in the environment; according to the function support state, a function option set corresponding to the target equipment is determined, and the function option set is used for indicating a set of target function options allowed to be used by a user; and configuring a user interface and / or equipment attribute corresponding to the target equipment according to the function option set. According to the method, the misoperation risk and the equipment loss caused by environment discomfort are effectively reduced, and meanwhile, the user operation is remarkably simplified through automatic configuration; the problem that different software and hardware versions need to be customized during cross-regional deployment of equipment is solved, and the research and development and operation and maintenance cost is greatly reduced.

The invention discloses an equipment message processing method and device, equipment, a storage medium and a program product. The method is applied to a service terminal of the Internet of Things, and comprises the following steps: receiving at least one device message sent by a device terminal in the Internet of Things; according to a preset object model of the device terminal, target importance degrees corresponding to the device messages are determined, and the object model comprises importance degrees of a plurality of device events and device attributes in the device terminal; acquiring running state information of the service terminal, and determining a current processing mode of the service terminal; the target importance degree corresponding to each device message and the current processing mode of the service terminal are mapped into a preset first processing matrix table, target processing actions of each device message are determined, the first processing matrix table comprises multiple importance degrees, multiple processing modes and corresponding processing actions, and the target processing actions are processed under different importance degrees and different processing modes. The processing actions of the service terminal on the equipment message are different; and executing a corresponding target processing action on each equipment message.

A system for dynamically scheduling tasks accesses a plurality of tasks. The system determines execution attributes associated with the plurality of tasks. The execution attributes impact an execution of the plurality of tasks. The system determines device attributes associated with devices that are tasked to execute the plurality of tasks. The device attributes impact the execution of the plurality of tasks and a performance of the devices. The system determines that a first task is scheduled to be executed. The system determines that by scheduling the first task, at least one of the execution attributes and device attributes is not optimized. The system creates a second task that comprises at least a subset of operations of the first task based on the execution attributes and device attributes. The system scheduled the second task to be executed according to scheduling rules such that the execution attributes and device attributes are optimized.

Techniques may include detecting one or more identifiers of one or more electronic devices that are associated with a first electronic device. In addition, the techniques may include accessing a set of device properties corresponding to a set of electronic devices that includes the one or more electronic devices. Hie techniques may include accessing a subset of device properties of the set of device properties that correspond to the one or more electronic devices. Moreover, the techniques may include comparing the subset of device properties against one or more group criteria, where a device property may include at least one of a device type, a software version, a power capacity', a charging state, and an activity state. Also, the techniques may include designating the first electronic device as a group leader device of the one or more electronic devices. Further, the techniques may include performing a scheduled operation.

According to an embodiment of the disclosure, a method performed by an electronic device may include determining, by at least one processor of an electronic device, sound environment properties of an environment external to a user, device properties of a sound playback device, and media properties of media that is played through the sound playback device. According to an embodiment of the disclosure, the method performed by an electronic device may include generating, by the at least one processor, based on the sound environment properties, the device properties, and the media properties, an adaptive masking soundscape that, when combined with external sounds in the environment, renders the external sounds less perceptible to the user. According to an embodiment of the disclosure, the method performed by an electronic device may include playing the adaptive masking soundscape through the sound playback device.

The invention provides a task execution method and device, electronic equipment and a storage medium, and relates to the technical field of data processing. The data processing method comprises the steps that task information is generated based on user demand information, and the task information at least comprises a to-be-executed target task and a placeholder expression used for screening candidate execution equipment; determining a candidate execution device set from the device cluster according to the placeholder expression; in the target task execution waiting state, obtaining state change information of equipment in the equipment cluster; based on the state change information, updating the candidate execution device set, and determining a target execution device set; and executing the target task according to the target execution equipment set to obtain the task result, so that the target execution equipment can be updated in time when the equipment attribute changes during the task waiting period instead of requesting the execution equipment in full quantity during task execution, and the pressure during large-batch scheduling of task jobs is effectively relieved.

The invention discloses an intelligent maintenance method and device for a calcium powder production line and a storage medium, and the method comprises the steps: building a calcium powder production line model which comprises the attribute information of all devices in the production line and an association relation, collecting the attribute information of the devices through a data collection unit, and building the model through a graph database, when the operation instruction for the first device is received, the target device can be determined according to the instruction parameter and the device function type, and then the combined maintenance scheme is formulated based on the operation state data of the target device and the first device and displayed at the target display position. The invention further relates to electronic equipment for realizing the method and a computer readable storage medium, the intelligent maintenance method can effectively improve the maintenance efficiency and accuracy of the calcium powder production line, reduce the influence of equipment faults on production, improve the overall production efficiency and prolong the service life of the equipment.

The invention discloses an equipment recommendation method and device, a storage medium and an electronic device, and relates to the technical field of smart home, and the method comprises the steps: obtaining user behavior information of a target object and space information of a target space where the target object is located, the user behavior information at least comprises one of the following: a purchase record, a search record, a browsing record and an evaluation record of the target object based on each device, and the space information at least comprises one of the following: a space size, a space type and an environmental parameter of a target space; determining a target component tag according to the user behavior information, and determining a first device attribute of a device required by the target space according to the space information, the target component tag being used for indicating a first device type of a device to be recommended to the target object; and determining a target device in a device database according to the target component tag and the first device attribute, and recommending the target device to the target object.

This disclosure relates to an information processing method, system, storage device, and electronic device, specifically in the field of silicon wafer manufacturing. It is applied to an information processing system comprising: a manufacturing execution module, a data acquisition module, and a presentation module. The method includes: determining a production task through the manufacturing execution module and sending a task identifier of the production task to a single-crystal furnace to control the single-crystal furnace to execute the production task; acquiring the task identifier of the production task, the production information of the single-crystal furnace, and the equipment operation information of the single-crystal furnace from the single-crystal furnace through the data acquisition module, and acquiring the task information of the production task and the equipment attribute information of the single-crystal furnace from the manufacturing execution module; the production information being generated during the execution of the production task by the single-crystal furnace; and sending a prompt message to the presentation module through the data acquisition module; and presenting the prompt message according to a preset presentation format, including at least one of image, text, sound, and vibration formats.

The invention discloses a matrix microphone equipment configuration method and device, electronic equipment, a storage medium and a program product, and the method comprises the steps: generating a configuration interface on a display terminal, and the configuration interface comprises a configuration canvas; in response to a target matrix microphone device selected by a user, generating a device identifier on the configuration canvas and generating a device installation mode selection component; according to a target installation mode selected by a user, generating an equipment attribute configuration component to perform equipment attribute configuration on the target matrix microphone equipment to obtain an attribute configuration file; generating at least one pickup area on the configuration canvas in response to user operation; and generating a configuration file and issuing the configuration file to the target matrix microphone equipment. According to the matrix microphone equipment configuration method, the configuration of the same matrix microphone equipment in different installation modes is realized, and the flexibility of the configuration of the pickup area of the matrix microphone equipment is also improved.

Embodiments of the present application disclose a device behavior analysis method and device, electronic equipment and storage medium, and relate to the technical field of computers, which comprises: obtaining unmarked grids of a target area, one unmarked grid comprising at least one working device; obtaining at least one aggregation group according to the unmarked grids; analyzing the device behavior of the at least one working device in the target area according to the aggregation attribute information of each aggregation group, the aggregation attribute information being obtained from the device attribute information of the at least one working device corresponding to the at least one unmarked grid. Embodiments of the present application divide the unmarked grids in the target area into at least one aggregation group by clustering, further obtain the aggregation attribute information of each aggregation group from the device attribute information of the working devices corresponding to the unmarked grids in each aggregation group, and analyze the device behavior of the working devices through the aggregation attribute information, thereby simplifying the workload and intuitively depicting the device behavior.

The invention relates to a resource information processing method and device, equipment and a storage medium. The method comprises the steps that a target equipment tree file of a target hardware system is acquired; analyzing the device attribute information of each target hardware device to obtain a hardware type and a hardware access address corresponding to each target hardware device; determining the number of hardware corresponding to each hardware type based on the hardware type corresponding to each target hardware device; and based on the hardware type, the hardware access address and the hardware quantity, generating a target label corresponding to each target hardware device, so that the target virtualization operation system allocates hardware resources to the target virtual machine based on the target label. According to the method, the hardware resource information related to the bus controller is obtained by analyzing the target equipment tree file, and the target label is added to the bus controller based on the hardware resource information, so that the target virtualization operating system can conveniently realize hardware resource allocation based on the target label, and the accuracy and efficiency of extracting the hardware resource information are improved.

The invention discloses an equipment screening method and device, a program product and a medium, and relates to the field of financial science and technology. The method comprises the following steps: acquiring equipment attribute information; obtaining at least one to-be-screened device and an initial matrix corresponding to each to-be-screened device; for each screening parameter item, according to the parameter value of the screening parameter item of each to-be-screened device, calculating to obtain a statistical value corresponding to the screening parameter item of each to-be-screened device; for each to-be-screened device, calculating a relative statistical value of every two screening parameter items according to the statistical value corresponding to each screening parameter item, and determining an optimization matrix of the to-be-screened device; optimizing the initial matrix corresponding to the to-be-screened equipment according to the optimization matrix corresponding to the to-be-screened equipment to obtain a target matrix; and according to the target matrixes corresponding to the to-be-screened devices and the parameter values corresponding to the screening parameter items corresponding to the to-be-screened devices, screening the to-be-screened devices to obtain target devices. According to the embodiment of the invention, the equipment screening accuracy can be improved.

The embodiment of the invention provides a multi-manufacturer equipment inspection method and device, equipment and a medium. The method comprises the steps that firstly, a configuration template file is acquired and analyzed, and an instruction instance queue for at least one target device is generated; then, acquiring equipment attribute information corresponding to the equipment identifier, and acquiring adaptation information corresponding to the inspection item based on the equipment attribute information, the to-be-executed inspection item and the mapping relationship; concurrently executing the inspection items to be executed according to the adaptive information, and collecting state data of the target equipment; and finally, according to the expert knowledge base and the state data, determining an inspection result of the target equipment. Through the method, the equipment inspection efficiency is improved.

Embodiments of the present application disclose a device data consistency guarantee method and device, electronic equipment and a storage medium. The device data consistency guarantee method comprises: determining device attribute information stored in a first storage space and a second storage space respectively; determining a first target device set in the first storage space and a second target device set in the second storage space according to the device attribute information; comparing devices in the first target device set and the second target device set, determining an abnormal device according to a comparison result, and correcting the abnormal device to guarantee device data consistency in the distributed system. Embodiments of the present application can quickly reduce the range of devices with inconsistent device data by comparing and contrasting device attribute information stored in different storage spaces, quickly locate the abnormal device, reduce the number of devices that need to be compared, and efficiently solve the device data consistency problem in the distributed system.

The invention discloses an equipment attribute comparison method for two-dimensional and three-dimensional design data of a power grid project, electronic equipment and a medium, and the method comprises the steps: carrying out the recognition and analysis of an equipment material table of a two-dimensional design drawing based on a deep learning method, and obtaining a layered two-dimensional structured database, the layered structure comprises a main equipment layer, a sub equipment layer, equipment parameters and parameter values; extracting equipment parameters in the three-dimensional design model based on the layered structure to obtain a three-dimensional structured database; constructing a word-word granularity joint similarity calculation model based on a bidirectional encoder representation converter model; and based on a word-word granularity joint similarity calculation model, performing consistency comparison and matching on the two-dimensional structured database and the three-dimensional structured database according to a hierarchical structure to obtain an equipment attribute comparison result. The two-dimensional and three-dimensional data hierarchical comparison is carried out by constructing the word-word granularity joint similarity model, the precision and efficiency of equipment attribute comparison can be improved, and the consistency of the two-dimensional and three-dimensional design data is guaranteed.

The embodiment of the invention provides a multi-device management and control measure generation method based on electromagnetic interference data, and the method comprises the steps: dividing devices participating in the calculation and analysis of electromagnetic compatibility interference into independent devices and device groups based on the functions and membership of the devices; specific device attributes of the independent devices and the device groups are defined for the divided independent devices or the device groups; aiming at the calculated electromagnetic interference coupling result, determining a main frequency interference degree required during management and control; and formulating corresponding control measures based on the determined dominant frequency interference degree. A systematic electromagnetic compatibility management and control scheme is formed by constructing a quantitative model of electromagnetic interference between devices, combining simulation calculation data, accurately identifying an incidence relation between a high-risk interference source and an easily interfered device, and dynamically generating a targeted management and control scheme based on a device interference degree and an attribute characteristic. And the efficiency and the accuracy of the electromagnetic compatibility control design are improved.

The embodiment of the present specification discloses a data processing method, device and equipment, the method comprises: receiving the device identifier generated by the service end according to the device attribute information of the web client; the device identifier is stored in a plurality of preset storage positions respectively; in the case of detecting that the user triggers the target web page operation, the device identifier stored in the plurality of preset storage positions is compared and detected, and in the case that the device identifier stored in the plurality of preset storage positions exists a plurality of first storage positions and a second storage position different from the device identifier stored in the first storage position, the device identifier stored in the second storage position is updated according to the device identifier stored in the first storage position; the target verification information is generated according to the device identifier stored in the preset storage position, and the data access request carrying the target verification information is sent to the service end.

The invention relates to an equipment management method and equipment for an electric power measurement smart laboratory and a medium, and belongs to the technical field of electric power management, and the method comprises the following steps: presetting an electric power measurement smart laboratory allowed access equipment list, and determining the weight, ideal value and tolerance deviation of each allowed access equipment to the attribute of equipment to be accessed; and obtaining the attribute of the equipment to be accessed, and inputting the equipment attribute and the access allowed equipment list into an equipment access verification algorithm to obtain a result whether access is allowed or not. For the equipment which is allowed to access, acquiring operation data of the equipment, and obtaining a state score by using an equipment state analysis algorithm; and setting a state interval, and if the state score is not in the interval, calculating an anomaly index of the operation data by adopting an equipment anomaly detection algorithm. And calculating an operation state index of the allowed access equipment based on the state score and the abnormal index, and performing corresponding adjustment on an operation mode of the equipment according to the index so as to guarantee reasonable operation of the equipment.