241 results about "Time zone" patented technology

The invention provides a time-space consistency testing method and device for cross-time-zone medical cooperation and a readable storage medium, and belongs to the technical field of medical information. The system aims at solving data conflicts, decision delay and clinical risks caused by space-time dislocation in cross-time zone medical cooperation. The system comprises a space-time scene configurator, a space-time label generator, a conflict resolution algorithm library and a clinical influence evaluator. Wherein the space-time label generator adds a four-dimensional coordinate label for medical operation and solves the problem of time zone conversion boundary; the conflict resolution algorithm library dynamically processes concurrent operation conflicts based on priorities, and combines automatic coverage with an artificial arbitration mechanism; a clinical impact evaluator quantifies the time lag risk. Through the system and the method, the conflict rate of the electronic medical records is reduced by 91%, the emergency operation response delay is shortened by 96%, the clinical decision error rate is reduced by 92%, the robustness of the cross-time-zone medical cooperation system is effectively verified, and the clinical safety is improved.

The invention relates to a data integrity joint verification method and system for a trusted data space, and relates to the technical field of industrial data verification, and the method comprises the steps: taking the data importance, the Hash calculation frequency and the uplink evidence storage frequency in a preset time zone as an adaptive data integrity verification strategy; processing a real-time operation state data stream of the industrial equipment, generating a data integrity verification certificate, and storing the certificate to a credible data space distributed account book; when a maintenance analysis request is initiated, performing integrity verification on the obtained original operation state data stream based on a data integrity verification voucher on the distributed account book; and if the verification is passed, performing equipment health state diagnosis and targeted maintenance according to the original operation state data stream. The method solves the problems that a conventional data integrity verification method mostly adopts a fixed verification strategy, is not adaptive to data importance and network states, and cannot meet the requirements of predictive maintenance on efficiency and real-time performance while guaranteeing data credibility.

In a plasma processing apparatus, a radio-frequency power supply adjusts frequencies of radio-frequency power in each bias cycle of electrical bias energy. The radio-frequency power supply uses a reference time series of frequencies of the radio-frequency power in each bias cycle. The radio-frequency power supply repeats using a changed time series of frequencies of the radio-frequency power in each bias cycle to increase a degree of match based on an evaluation value. The changed time series results from shifting the reference time series by a phase shift amount, scaling the reference time series in a frequency direction, or scaling two or more of multiple time zones of the reference time series in a time direction.

The invention discloses a global-oriented multi-language multi-time-zone power station management method and system, and relates to the technical field of electric power digital management, and the method comprises the steps: collecting power station data, carrying out the standardized identification, and constructing a power station multistage coding identification main key; a multi-language mapping system is constructed by taking a multi-level coding identification main key of a power station as a drive, and time zone offset logic is constructed by using standardized identification; and performing hierarchical authority control based on the power station multi-level coding identification primary key prefix and generating a localized alarm prompt. According to the method, standardized identification of power station data is realized by constructing a unified power station multi-level coding main key; based on primary key driving multi-language mapping and time zone offset processing, accurate presentation and time consistency of data in a multi-language environment are guaranteed; authority control is achieved through primary key prefix division, multi-language alarm prompts are triggered in combination with signal coding, and a power station event management mechanism which is clear in alarm semantics, timely in response and controllable in boundary is achieved.

The invention discloses a wind power plant fan hub wind speed prediction method, device and equipment based on multi-source data fusion and a medium, and relates to the technical field of computers, and the method comprises the steps: carrying out the time alignment and time zone conversion of multi-source wind speed data of a target fan, and obtaining historical feature data and forecast feature data; constructing a first preset channel by using a bidirectional long-short-term memory network and a multi-head attention mechanism, and constructing a second preset channel based on expansion convolution so as to perform parallel processing on the historical feature data; carrying out cross attention fusion on a second branch output result and a first branch output result determined by utilizing a forecast data processing branch based on the forecast characteristic data, and determining a target mixed deep learning model by utilizing residual connection, layer normalization and a preset optimizer of the mixed deep learning model, and determining a hub wind speed prediction result corresponding to the to-be-tested fan by using the target hybrid deep learning model. And the accuracy rate of wind power plant fan hub height wind speed prediction in a complex terrain area is improved.

The invention provides an ammeter metering abnormity identification method and system based on multi-mode power utilization data fusion, and relates to the technical field of electric power metrology, and the method comprises the steps: collecting an actual power consumption set of intelligent power utilization equipment of a target user in a preset time zone, and carrying out the matching to obtain an equipment association degree set; according to the actual power consumption set and the equipment association degree set, predicting to obtain predicted total power consumption; performing analysis based on the intelligent electric equipment type set and the equipment association degree set to obtain prediction confidence; calculating a threshold adjustment coefficient according to the load fluctuation characteristics, the environment fluctuation characteristics and the prediction confidence in the preset time zone, correcting the initial error threshold, and outputting an adaptive error threshold; and calculating the electric quantity deviation amplitude according to the meter display consumed electric quantity of the electric energy meter of the target user in the preset time zone and the predicted total consumed electric quantity, and if the electric quantity deviation amplitude exceeds an adaptive error threshold, executing abnormal early warning. The technical problems of high false alarm rate and poor reliability of electricity meter metering abnormity identification in the prior art are solved.

The invention relates to a deep learning compensation method and system for mechanical assembly errors, and relates to the technical field of mechanical assembly optimization, and the method comprises the steps: synchronously collecting dispensing images and dispensing point cloud data according to a preset monitoring time interval, and recognizing and outputting a dispensing state distribution sequence; key state recognition and feature extraction are carried out on the dispensing state distribution sequence, window fluctuation analysis of assembly errors is carried out, and a compensation time window sequence is output; a predicted dispensing state distribution sequence is obtained through prediction, optimal optical performance is taken as a target, lamination control parameter optimization is carried out, and an optimal lamination parameter sequence is output; and according to the compensation time window sequence and the optimal pressing parameter sequence, the fitting assembly process in the preset time zone is optimized and controlled. According to the invention, the problems of insufficient fitting precision, low production yield and uncontrollable camera optical performance of the 3C camera module caused by the fact that the traditional mechanical assembly only depends on a global fixed pressing strategy are solved.

The invention discloses a DC voltage control method and system for an MMC converter, and belongs to the technical field of power electronic control. The method comprises the steps of performing energy flow trend evaluation according to a historical load and a new energy output data sequence in a historical time zone when an MMC converter is connected to a power grid, and obtaining a predicted power surplus and deficiency coefficient; dynamically correcting a preset direct-current voltage reference value according to the predicted power clearance coefficient to obtain an adaptive direct-current voltage instruction; and sending the final modulation wave to a bottom layer controller of the MMC converter, and executing direct current voltage stability control in a preset time zone. According to the method and the device, the technical problems of slow DC voltage dynamic response, large overshoot and difficulty in considering sub-module voltage sharing when the MMC deals with complex power grid disturbance in the prior art are solved, and the technical effects of remarkably improving the anti-disturbance capability and the dynamic response speed of the MMC system on the premise of ensuring the DC voltage steady-state precision are achieved.

To predict a condensation risk with high accuracy.SOLUTION: A condensation countermeasure setting device in one embodiment comprises: a first prediction part for identifying a temperature / humidity prediction value in an object space in a desired time zone in the future, on the basis of operation setting information of the object space of a building; a second prediction part for identifying an absolute humidity prediction value in the object space in the desired time zone, on the basis of the temperature / humidity prediction value, volume information of the object space and the operation setting information in the desired time zone; a third prediction part for identifying a saturated water vapor content prediction value to one or more planes defining the object space in the desired time zone, on the basis of the temperature / humidity prediction value; and a fourth prediction part for identifying a condensation water content prediction value in the object space in the desired time zone, by predicting variations of the condensation water content and vaporized water content, in the desired time zone, on the basis of the absolute humidity prediction value and the saturated water vapor content prediction value in the object space.SELECTED DRAWING: Figure 3

The invention discloses a virtual power plant operation regulation and control method and device adaptive to multiple distributed resources, and relates to the technical field of virtual power plants, and the method comprises the steps: constructing a power plant simulation space; predicting according to the historical power grid operation data to obtain a predicted power load sequence, a predicted power grid frequency sequence and a predicted renewable energy output proportion sequence in a preset time zone, and determining a regulation response speed demand; and determining an adaptive resource combination strategy according to a regulation response speed demand, optimizing an operation regulation scheme based on the adaptive resource combination strategy by taking maximization of regulation precision as a target, and determining an optimal regulation scheme to carry out operation regulation. The technical problems that according to an existing virtual power plant operation regulation and control method, multi-type distributed resource operation constraints in a power plant are not accurately depicted, regulation and control strategies are disjointed with actual equipment characteristics, and consequently regulation and control efficiency is not high are solved.

The invention provides a time calibration method and device during cross-time-zone driving of a vehicle, and the method comprises the steps: determining whether a time zone switching condition is satisfied or not according to the current position data, global geographic data and a dynamic time zone database of a target vehicle; wherein basic time zones corresponding to all the areas and time zone change rules corresponding to all the areas are integrated in the dynamic time zone database; if yes, determining a target time zone of the current position of the target vehicle; and calibrating the current reference time according to the determined target time zone, and determining the target time of the current position of the target vehicle. Therefore, through the technical scheme of the invention, the technical problem that the time of the related terminal on the vehicle is difficult to accurately calibrate in the related technology is solved at least.

The present disclosure generally describes user interfaces related to time. In accordance with embodiments, user interfaces for displaying and enabling an adjustment of a displayed time zone are described. In accordance with embodiments, user interfaces for initiating a measurement of time are described. In accordance with embodiments, user interfaces for enabling and displaying a user interface using a character are described. In accordance with embodiments, user interfaces for enabling and displaying a user interface that includes an indication of a current time are described. In accordance with embodiments, user interfaces for enabling configuration of a background for a user interface are described. In accordance with embodiments, user interfaces for enabling configuration of displayed applications on a user interface are described.

The present invention suppresses a peak in power consumption while reducing a processing load.　A numerical control device (2) comprises: a determination unit (212) that analyzes a machining program and determines a step switching command in the machining program; an information acquisition unit (213) that acquires time information about a first time zone of a step among a plurality of steps, and condition information indicating a second machining condition different from a first machining condition specified in the machining program; a condition setting unit (214) that sets the machining condition in the first time zone to be the second machining condition on the basis of the step switching command, the time information, and the condition information; and a control unit (215) that controls a drive shaft in the first time zone on the basis of the second machining condition set by the condition setting unit.

The embodiment of the application provides a temperature control method, system, vehicle and computer readable storage medium, the method comprises: receiving temperature adjustment information and target vehicle time sent by a man-machine interaction terminal, wherein the target vehicle time is the coordinated universal time obtained by converting the local vehicle time set in advance based on the target time zone, and the target time zone includes the current time zone of the man-machine interaction terminal or the preselected time zone; in the case that the vehicle and the external power supply device establish a connection, the temperature of the power battery of the vehicle is adjusted by using the electric energy of the external power supply device, so that the power battery reaches the temperature range corresponding to the temperature adjustment information at the target vehicle time. The application solves the technical problems of unreliable and inaccurate response of the power battery reservation type preheating control function based on the grid electric energy due to the lack of a unified time reference.

The invention discloses an equipment lease process automatic management system and method, and belongs to the technical field of equipment lease, and the method comprises the steps: dividing the expected use time into minimum time units, and forming a refined time credibility scoring matrix through combining an equipment return behavior fluctuation index and a regional time efficiency compression index; meanwhile, a buffer time period is automatically inserted after a task is finished, a sliding time window is used for detecting a low-credibility time block and marking a conflict risk, recommendation equipment is further screened through a logic judgment mechanism, a replacement scheduling scheme is provided when necessary, and finally scheduling suggestions are output in a graphical mode. High-precision prediction, high-reliability recommendation and high-visual interaction of equipment scheduling in a multi-lease, cross-time-zone and high-density scene are realized, and the scheduling safety and the system intelligence level are effectively improved.

This invention discloses a multi-source collaborative optimization control method for smart microgrids, relating to the field of energy technology. The method includes: connecting to the user side to predict the power supply demand of the target microgrid in a preset time zone; acquiring a hybrid energy supply module containing multiple distributed power sources; collecting historical power supply logs of the distributed power sources and generating relevant time sequences; performing energy curtailment rate analysis based on this to generate indicators and decisions; optimizing energy storage units after determining that the indicators meet the standards; and then performing multi-source collaborative power supply control according to preset demand. This method solves the technical problems of existing new energy power generation uncertainties that are difficult to accurately predict, and unreasonable energy storage module configurations that lead to significant energy losses during power generation, storage, and distribution, resulting in low energy utilization efficiency and unstable power supply quality. By optimizing and integrating new energy power generation, energy storage modules, and energy distribution in the microgrid, it achieves the technical effect of reducing energy losses and ensuring efficient and high-quality power supply to the microgrid.

The application relates to a data integrity joint verification method and system of a trusted data space, and relates to the technical field of industrial data verification, which comprises the following steps: based on the data importance, hash calculation frequency and upper chain storage frequency in a preset time zone, a data integrity verification strategy is adapted; real-time running state data flow of an industrial device is processed, data integrity verification credentials are generated, and the data integrity verification credentials are stored in a trusted data space distributed ledger; when a maintenance analysis request is initiated, the original running state data flow obtained is verified for integrity based on the data integrity verification credentials on the distributed ledger; if the verification is passed, device health state diagnosis and targeted maintenance are performed according to the original running state data flow. The application solves the problem that traditional data integrity verification methods mostly adopt fixed verification strategies, are not adapted to data importance and network states, and cannot guarantee data credibility while meeting the efficiency and real-time requirement of predictive maintenance.

The application provides a resource scheduling method and system based on campus user behavior analysis, and relates to the technical field of resource management. The method comprises the following steps: collecting target behavior information of a target campus user in a preset period, and analyzing a target behavior time sequence; acquiring an arbitrary time zone and matching arbitrary behavior data; forming a campus user set, and analyzing first behavior information of a first user; if a first mode index of the first behavior time sequence and the target behavior time sequence reaches a predetermined index limit value, a mode clustering cluster is formed; acquiring a number of user individuals in the mode clustering cluster, and combining the arbitrary behavior data to obtain arbitrary resource demand of the arbitrary time zone; and performing campus resource scheduling processing. The application solves the technical problem that, in the prior art, inaccurate prediction of user demand leads to unreasonable resource allocation, thereby affecting resource scheduling efficiency. By analyzing user behavior mode and determining resource demand, the efficiency of resource scheduling is improved.

This invention discloses an installation method for a time-zone-division circular pedestal curtain wall. The time-zone-division circular pedestal curtain wall includes time-zone-division curtain wall units. A set of curtain wall glass is arranged with 24 units corresponding to 24 time zones, forming a pedestal shape that is smaller at the top and larger at the bottom. A time zone pointer is also provided at the top of the curtain wall glass, and the projection of the time zone pointer is projected onto the outer surface of the curtain wall glass. This invention facilitates the lighting and aesthetic requirements of the central area by setting a continuous circular pedestal curtain wall in the middle of the corridor. The setting of the lower and upper floor sloping walls facilitates the installation of the curtain wall keel, providing a fixed foundation and ensuring the overall structural integrity. The time-zone setting of the curtain wall glass ensures both aesthetic appeal and ease of installation while improving lighting efficiency. The setting of the time zone pointer and the pointer connecting wall further makes the central curtain wall resemble a sundial, enriching the structural types, and the pointer connecting wall at the connection point ensures the stability of the installation.

The application discloses an immersive space virtual-real interaction method and relates to the technical field of virtual reality; after the game starts, the first sub-time zone of each game stage is taken as a starting data collection window, EEG signal data of a player is collected, an alpha wave trend graph is constructed, through a series of calculation and analysis, including determining a reference frequency range, identifying an abnormal point, calculating an alpha wave variation ratio, an alpha wave evaluation value of the player in the starting data collection window is obtained, this process can accurately evaluate the brain state of the player in the starting stage of the game, the change trend of the player's immersion is predicted in advance and the intensity of the tactile feedback is adjusted in time, the player's frequent "out of the game" in the game process is avoided, the coherence and immersion of the game experience are maintained, when the alpha wave evaluation value of the player shows that the immersion may decrease, the tactile feedback is enhanced to attract attention, the game participation is improved, and the player can continuously immerse in the game.

The invention relates to a time zone determination method and device, vehicle end control equipment, a readable storage medium and a program product. A local time zone database is inquired according to the position and speed of a vehicle to obtain current identification information, if the vehicle is not located at a boundary, the time zone of the vehicle is configured according to a basic identification in the current identification information, and if the vehicle is located at a boundary area, an accurate identification of the vehicle is obtained according to the current position information and the local time zone database. Compared with a traditional method of querying time zone information depending on a network, the time zone of the vehicle is configured based on the inquired basic identifier when the vehicle is determined not to be located at the boundary of the time zone based on the inquired boundary identifier, and the time zone of the vehicle is set based on the accurate identifier if the vehicle is located at the boundary. Therefore, the vehicle time zone can be configured by using the time zone grid with the corresponding precision in combination with boundary detection, and the dependence of time zone updating on the network is reduced while the accuracy is ensured.

The invention provides a CAN-FD issuing method and system during reservation charging of a vehicle, relates to the technical field of vehicle-mounted electronics and Internet of Vehicles of new energy vehicles, and solves the technical problems of timing distortion and inaccurate triggering of a reservation charging start-stop instruction caused by dependence on external sleep duration or a specific hardware module during SOC awakening in the prior art. The method comprises the following steps: acquiring system UTC standard time after SOC awakening and converting the system UTC standard time into minutes of the day; performing time zone correction according to a target area where the vehicle is located to obtain a local time minute number; acquiring preset charging parameters including the starting time minute number after the charging starting time is converted, the charging duration minute number and the calculation of the charging ending time minute number; based on the local time minute number, the starting time minute number and the ending time minute number, whether the current time is in the reserved charging period is judged; and issuing a corresponding control instruction through the vehicle-mounted controller in combination with the current charging state. The method and device are used in the vehicle reservation charging process.

The invention provides a self-adaptive control intelligent regulation and control method and system for a high-temperature water heat supply pipe network, and relates to the technical field of pipe network regulation and control. The method comprises the steps that heat supply demand prediction in a preset time zone is carried out, and a plurality of initial prediction demand heat supply quantities are output; heat supply demand fluctuation analysis is conducted on the multiple users, and the multiple users are divided into a stable type user domain and a fluctuation type user domain; according to the heat supply demand fluctuation coefficient, carrying out expansion compensation on the initial prediction demand heat supply amount of the plurality of stable users in the stable user domain; in combination with the power consumption monitoring data and the outdoor temperature prediction data, compensation probability analysis is carried out on the multiple fluctuation type users in the fluctuation type user domain, and fluctuation type prediction demand heat supply amount is obtained; and the total predicted demand heat supply amount is determined according to the stable type predicted demand heat supply amount and the fluctuation type predicted demand heat supply amount, and heat supply flow regulation and control are conducted. The technical problem that in the prior art, the heat supply regulation and control accuracy of a high-temperature water heat supply pipe network is insufficient is solved.

Division determination processing of determining division chronological for an image group captured in an event specific, and user interface control processing of performing control such that, for each time zone divided by the division determined by the division determination processing, division reflection display presented in a state in which all or some of images captured within a time zone are arranged in a first direction and each time zone is arranged in a second direction is performed are performed.

This invention discloses a heat dissipation management method and system for power tools, relating to the field of heat dissipation management technology. The method includes: receiving production task assignments, performing reverse engineering of tool operating conditions to obtain target operating conditions; obtaining multiple distributed temperature thresholds for multiple temperature control zones; pre-constructing a distributed temperature prediction model to predict multiple production temperature change sequences for the target operating conditions; traversing multiple production temperature change sequences to obtain multiple tool overheating time zone sequences; obtaining a water-cooled heat dissipation architecture for the temperature-controlled power tool; fitting the multiple tool overheating time zone sequences to the water-cooled heat dissipation architecture for coolant circulation analysis; outputting heat dissipation timing control parameters; and controlling the circulation of coolant in the water-cooled heat dissipation architecture. This invention solves the technical problem of low heat dissipation efficiency in existing technologies due to the inability to accurately adjust based on real-time temperature changes of various key components of power tools, thereby improving the heat dissipation efficiency of power tools.

The invention discloses an electrical equipment control method and device based on an automatic operation cockpit, and belongs to the field of electrical equipment.The method comprises the steps that an operation parameter time sequence of electrical equipment in a target master station in a current periodic time zone is collected, and a digital twin model is driven to conduct operation state simulation in a next periodic time zone according to the operation parameter time sequence; obtaining a running state simulation result; performing abnormal equipment identification based on the operation state simulation result and a preset normal operation constraint, and generating a single equipment fault detection result; according to the operation parameter time sequence and the influence transmission path between the abnormal operation devices, carrying out associated fault detection between the devices to obtain an associated fault detection result; and sending the single equipment fault detection result and the associated fault detection result to an automatic operation cockpit, so that the automatic operation cockpit adjusts control parameters of the electrical equipment. According to the invention, the problem of untimely fault processing caused by manual inspection of the electrical equipment in the prior art can be solved.

To reduce arithmetic loads by using an Ising model.SOLUTION: An arithmetic method according to the present invention has: a step of acquiring job information indicating a plurality of jobs as an arithmetic target; a step of setting a plurality of divided time zones including a plurality of time slots for each time series; and a step of acquiring, for each of the divided time zones, an arithmetic result obtained by assigning, using an Ising machine, the job indicated by the job information to a time slot included in the divided time zone. In the step of acquiring an arithmetic result, there is acquired an arithmetic result obtained by assigning a job to a time slot included in a divided time zone and a succeeding time slot on condition that a job which is not assigned to a time slot included in the divided time zone is assigned to the succeeding time slot which is a time slot immediately after the divided time zone.SELECTED DRAWING: Figure 8

The application relates to the technical field of data processing, and provides a data collaborative processing method and system of an OA platform. The method comprises the following steps: connecting the OA platform, reading a plurality of concurrent tasks to be processed in a preset time zone; analyzing the tasks and collecting multi-process collaborative users and operation characteristics to generate task execution characteristics; monitoring the state of an OA special network to generate network monitoring indexes; performing multi-task concurrent simulation based on the network indexes and in combination with the task characteristics to generate processing adaptation indexes; if the adaptation indexes are substandard, optimizing the multi-task processing time sequence with the time zone as a constraint to generate a serial optimization time zone. The application solves the technical problem that the existing OA platform cannot dynamically schedule task processing time zones according to network resources when facing multi-task concurrent processing, leading to the need for multiple attempts by users and low data processing efficiency, and achieves the technical effect of improving data processing efficiency and overall collaborative performance of the system.

According to one embodiment, an information processing apparatus includes a processing circuitry. The processing circuitry is configured to acquire first and second weather data in a first time zone and ground rainfall amount data, acquire, based on the first and second weather data, first feature values, generate learning data based on the ground rainfall amount data and the first feature values, generate, based on the learning data, a learned model, acquire first and second weather data in a second time zone, acquire, based on the first and second weather data, second feature values, acquire a parameter output from the learned model by inputting the plurality of second feature values, and generate, based on the parameter, composite rainfall amount data.

The invention discloses a remote monitoring method and system for power utilization information acquisition terminal equipment and a medium, and relates to the technical field of electrical parameter monitoring, and the method comprises the steps that a remote monitoring terminal obtains real-time acquisition data and a monitoring multi-dimensional sequence; adaptively analyzing the current node, constructing a backtracking time zone and backtracking historical data; performing depth detection variation based on the backtracking data to obtain a variation coefficient; if the coefficient exceeds a threshold value, multi-degree-of-freedom causal tracing is carried out, and a variation tracing atlas is generated; if the coefficient does not exceed the threshold value, multi-dimensional associated hidden fault deduction is executed, and a hidden fault map is generated, so that the technical problems that in the remote monitoring process of an existing electricity utilization information acquisition terminal, abnormity is difficult to locate in time, and hidden faults are difficult to effectively recognize are solved, and the purpose of effectively recognizing the hidden faults through self-adaptive backtracking feature analysis and multi-degree-of-freedom causal tracing is achieved. The terminal anomaly detection accuracy and the fault tracing reliability are improved, and the technical effect of efficient and intelligent remote monitoring is achieved.