614 results about "Time zone" patented technology

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 invention discloses a multi-type energy complementary island micro-grid coordination control method and system, and relates to the technical field of energy coordination control, and the method comprises the steps: collecting an island micro-grid structure and a predetermined prediction time zone, and carrying out the historical data analysis; performing energy coordination control on the island microgrid based on the energy coordination control scheme; and performing simulation evaluation through a simulation tool. According to the island micro-grid coordination control method for multi-type energy complementation, the island micro-grid structure and the preset prediction time zone are collected for historical data analysis, the accuracy and consistency of data analysis are improved, different power utilization levels are set according to the actual power utilization condition and management requirements of the island, data are arranged according to the time sequence, and the power utilization rate of the island is improved. The power supply reliability and efficiency are improved, power generation prediction is carried out based on the prediction model, the perspectiveness and accuracy of energy management are improved, and better effects are achieved in the aspects of the power supply reliability, the power generation prediction precision and the power generation prediction efficiency.

A Circadian Rhythm Monitoring and Regulation (CMR) system and method that includes: a novel non-obtrusive wearable system for increasing the health and productivity of warfighters or other individuals that are disrupted by excessive, abnormal shifts in work or flights across multiple time zones. The CMR system is based on advanced sensor and software technology and models of human circadian system phototransduction and a circadian stimulator oscillator developed by applicants. It measures circadian misalignment and provides lighting suggestions for circadian rhythm maintenance and realignment.

The invention discloses a hydrological monitoring point dynamic planning method and system, and relates to the technical field of hydrological monitoring, and the method comprises the steps: collecting hydrological monitoring point parameters of a target region, and making an initial point planning scheme; and performing hydrological dynamic prediction on the region based on prediction of a future time zone to obtain a hydrological prediction result. And according to the result, performing redundancy adjustment on the initial point location scheme to generate a first adjustment scheme. And based on the monitoring demand and the prediction result, correcting the point location blind area to form a second adjustment scheme. And in combination with the geographic feature data and the damage risk threshold, compensation adjustment of the damaged point location is carried out, and a third adjustment scheme is generated. And integrating the above adjustment schemes, carrying out global optimization, and generating an optimized hydrological monitoring point layout. The technical problems of poor planning flexibility and low precision of the hydrological monitoring point positions in the prior art are solved, and the technical effects of improving the planning flexibility and precision of the hydrological monitoring point positions and improving the hydrological monitoring quality are achieved.

The invention relates to a shield tunneling machine tunneling error compensation control method and system, and relates to the field of tunneling operation, and the method comprises the steps: carrying out the time domain alignment and cutting region mapping alignment of a predicted soil feature distribution sequence and a predicted tool wear distribution sequence, and carrying out the integration to obtain a predicted operation state data sequence; and performing iterative optimization analysis on tunneling control parameters of the shield tunneling machine on the basis of the predicted operation state data sequence by taking the minimum overall tunneling operation error of the cutterhead as an expected target until a preset optimization scale is met, outputting an optimal tunneling parameter sequence, and controlling the shield tunneling machine to execute tunnel construction in a future time zone. According to the method, the technical problems of insufficient tunneling precision and low operation efficiency caused by the fact that a traditional method lacks a dynamic adjustment mechanism and cannot adjust tunneling control parameters in a targeted manner according to soil texture changes and cutter wear conditions can be solved; by effectively reducing the tunneling operation error, the accuracy and the operation efficiency of the shield tunneling machine in the tunneling process are remarkably improved.

The invention provides a network security perception early warning method and system for a smart power plant, and relates to the technical field of power plant network security early warning, and the method comprises the steps: reading a multi-source monitoring data set of a first time zone, carrying out the abnormality judgment of the multi-source monitoring data set, and carrying out the deviation calculation of the multi-source monitoring data set through employing a parameter reference value if an abnormality index is 0, and performing space-time mapping distribution on the plurality of parameter deviation values according to the position coordinates and the timestamps, constructing a network attack sequence diagram, performing abnormal association identification based on the network attack sequence diagram, determining a global attack chain, performing historical risk backtracking according to the global attack chain, and outputting a risk early warning level. The technical problem that the potential network security risk of the power plant is difficult to warn in time due to the lack of comprehensive monitoring and analysis of the overall network security state of various devices and systems in the power plant in the prior art is solved. The technical effects of overall network security situation awareness and timely potential risk early warning of multiple devices and systems in the smart power plant are achieved.

It aims to appropriately manage the bias of the signal processing amount. 【Solution means】 The abnormality management device 1 uses, as teacher data, normal data indicating the number of normal packets distributed to each device for each time zone, and learns, by maximum likelihood estimation, the parameters of a probability model that outputs the posterior probability that the number of packets distributed to each device for each time zone is normal. A learning unit 11, the posterior probability for each device for each time zone estimated by the learned probability model, the probability distribution of the normal data for each device estimated based on the normal data, and the prior probability of being normal. A derivation unit 12 that derives the probability distribution of abnormal data indicating the number of abnormal packets distributed to each device in the time zone, and the probability distribution of the normal data and the probability distribution of the abnormal data for each device for each time zone are equal. And a setting unit 13 that sets, as a threshold value for abnormality determination of the number of packets distributed to each device, the number of packets corresponding to the value of the probability distribution that becomes the value.

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.

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 relates to a traffic control system based on unmanned aerial vehicle operation safety, and relates to the field of unmanned aerial vehicle traffic control. A flight information reading module; the obstacle coverage area acquisition module is used for predicting the flight obstacle information and acquiring an obstacle coverage area of a predetermined time zone; and the flight scheme optimization module is used for performing flight parameter overall optimization of a plurality of unmanned aerial vehicles, generating an optimal flight scheme and performing a flight task in a predetermined time zone by using the task execution evaluation function and based on the course dispersion and the task priority by taking obstacle coverage avoidance and flight safety barrier meeting as optimization constraints. According to the invention, the technical problem that the unmanned aerial vehicle task execution efficiency is low and the flight safety is poor due to the lack of an effective multi-unmanned aerial vehicle cooperative management mechanism in the existing method can be solved, the operation efficiency of the unmanned aerial vehicle can be remarkably improved on the premise of ensuring the flight safety of the unmanned aerial vehicle, and the efficient task execution of the multi-unmanned aerial vehicle cooperative operation can be realized.

The invention discloses a virtual power plant aggregation optimization system and method based on intelligent metering and real-time communication, and relates to the technical field of smart power grids, and the method comprises the steps: receiving a future time zone demand power prediction value; receiving a future time zone generating capacity prediction value; segmenting the future time zone demand power prediction value to obtain a large power grid peak time zone demand power prediction value and a large power grid valley time zone demand power prediction value; obtaining a distribution topology of a transformer area user side; carrying out random configuration on the peak time zone demand power prediction value of the large power grid to obtain a plurality of peak time zone aggregation power distribution schemes; and optimizing the plurality of peak time zone aggregation power distribution schemes, generating a peak time zone recommendation aggregation power distribution scheme, and performing power distribution control in combination with a large power grid valley value time zone demand power prediction value. According to the invention, the technical problem of low distribution efficiency of power resources during power dispatching in the prior art is solved, distribution and optimization of the power resources are realized, and the technical effect of improving the operation efficiency of a power grid is achieved.

The present disclosure generally describe 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 invention provides a scene-adaptive satellite phased-array antenna anti-interference method and electronic equipment, relates to the technical field of satellite communication, and aims to obtain environment sensing data, perform interference characteristic analysis and perform interference characteristic fluctuation analysis based on interference characteristic distribution by using a sensor system of a satellite phased-array antenna under a predetermined monitoring node. The method comprises the following steps: acquiring satellite working parameters to perform satellite state fluctuation analysis, calling a strategy optimization analysis plug-in based on an interference fluctuation scale and a state fluctuation scale, performing anti-interference analysis, outputting an optimal anti-interference strategy, and executing operation control of a satellite phased-array antenna in a future time zone according to the optimal anti-interference strategy. The technical problems that in the prior art, a satellite phased-array antenna is insufficient in anti-interference adaptability and limited in suppression capacity are solved. The technical effects of improving the anti-interference adaptability of the satellite phased-array antenna, enhancing the interference suppression capability and ensuring that the antenna can effectively avoid or suppress interference are achieved.

The invention discloses a resin tank pressure resistance test method and system based on deep learning, and relates to the technical field of data processing. The method comprises the following steps: performing significant feature analysis based on a surface image of a target resin tank, determining a plurality of abnormal areas, performing defect identification, and constructing a defect distribution diagram according to an identification result; based on equipment attributes, setting retrieval constraint conditions to retrieve voltage withstanding test records of similar products, obtaining a sample data set, performing supervision training on the deep learning operator by using the sample data set, and constructing a voltage withstanding performance predictor; environment parameters of the target resin tank in a preset time zone are collected, the defect distribution diagram and the environment parameters are input into the pressure resistance predictor, and the predicted maximum pressure bearing value is output to serve as a pressure resistance test result. The technical problem that in the prior art, a resin tank pressure resistance test result is not accurate enough is solved, defect distribution and environmental parameters are analyzed in combination with deep learning, and the technical effect of improving pressure resistance prediction accuracy is achieved.

A timepiece time zone correction mechanism is equipped with a manual control device including two counteracting manual corrector actuators setting in motion a time zone corrector associated therewith including a beak which is configured to bear against a relief of a time zone correction wheel assembly and to cause the assembly to move. The assembly includes a regularly spaced toothing having a first drive level from which a plurality of successive teeth are missing and replaced by a first clearance, and a second drive level parallel to the first drive level, and from which a plurality of successive teeth are missing and replaced by a second clearance. The first clearance and the second clearance are not superimposed with one another. Each time zone corrector cooperates with a single drive level, from among the first drive level and the second drive level, of the time zone correction wheel assembly.

The invention provides an embedded intelligent switch control system based on dual-mode detection, and relates to the technical field of intelligent control, and the system comprises a driving logic program building module which is responsible for configuring an infrared and sound cooperative dual-mode control channel; the main control sensing establishing module is responsible for writing driving logic into a main control chip and is connected with an infrared sensor and a sound sensor; the signal judgment module is responsible for driving the sensor to detect and judge the signal in a staggered manner and generating a switching instruction; and the switch state switching module is responsible for controlling the relay to switch the switch state according to the instruction. The technical problems that in the prior art, a traditional switch control system is high in false triggering rate, high in energy consumption and poor in scene adaptability due to a single triggering mode in a complex environment are solved, and the purposes that the false triggering rate and the energy consumption in the complex environment are reduced by judging a time zone and a flexible calibration mechanism through combination of infrared and sound dual-mode detection are achieved; and the scene adaptability is improved.

A system and method may update network policies by determining, among a set of hosts, a subset of hosts to have network policies updated; for each host in the subset of hosts, determining a set of policies relevant to the host; and for each of the subset of hosts, installing the set of policies relevant to the host. The subset of hosts may be determined based on a category or division such as the time zone corresponding to the location of each host in the subset of hosts. The policies relevant to the host may be received from a database and saved to a file with the set of policies relevant to the host; the host may then access the file.

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 an intelligent old-age care remote state monitoring method and device combined with a user portrait, and relates to the technical field of data processing, and the method comprises the steps: communicating a positioning patch array of a first old-age care user, and receiving a positioning time sequence matrix of a first time zone; processing a first pension user portrait and the positioning time sequence matrix through a health sample N-level adjacency searcher to obtain an adjacency sample state; aggregating the adjacent sample states to generate state baseline information; the communication state monitor is used for collecting state monitoring information of the first time zone; and when the state monitoring information does not belong to the state baseline information, performing abnormal state identification on the state monitoring information. The technical problem that in the prior art, due to the fact that flexible change analysis of the health value interval cannot be achieved, the monitoring accuracy of abnormal states of old people is insufficient is solved.

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.

The invention discloses an automatic test method and device for multi-time-zone time data conversion, a terminal and a medium. According to the scheme provided by the invention, in response to a multi-time-zone conversion test instruction, time zones displayed by a page of a front-end node are switched through preset time zone time conversion logic; the method comprises the following steps: acquiring a front-end time zone time displayed on a page of a front-end node, acquiring a back-end time zone time corresponding to a preset reference time zone from a back-end service node according to a preset back-end service node, calculating a conversion time difference between the back-end time zone time and the front-end time zone time, and obtaining a standard time difference according to a comparison result of the conversion time difference and the standard time difference. And determining a test result, thereby realizing automatic identification and verification of consistency and correctness of the time field in front-end display and back-end storage.

The invention discloses a data scheduling method, device and system and a storage medium. The method comprises the steps of obtaining scheduling duration required by to-be-scheduled data in a service system in a data link of a data warehouse; dividing the plurality of time zones into a plurality of time zone segments according to the scheduling duration; determining scheduling start time in a preset reference time zone according to the minimum time zone of each time zone segment; determining a target time period for dividing the to-be-scheduled data in a preset reference time zone according to the scheduling start time; for each time zone segment, determining the data of which the generation time is within the target time period in the to-be-scheduled data of each time zone segment as target data; and scheduling the corresponding target data to the data warehouse according to the scheduling start time of the time interval segmentation, so as to store the target data to the data partition, corresponding to the target time interval, of the data warehouse. According to the scheme, under the condition that the time-zone-crossing data scheduling timeliness is ensured, the performance overhead during scheduling is reduced, and the data consistency is ensured.

The invention discloses an electric power terminal equipment safety management and control system based on multi-source data fusion, and relates to the technical field of electric power equipment management and control, and the system comprises an electric meter data collection module which is used for collecting the flow characteristic sequence, the electric meter load sequence, the electric power data sequence and the communication characteristic sequence of a plurality of electric meters in a residential area in a preset time zone; the abnormal risk prediction module is used for carrying out network abnormal risk prediction and outputting a plurality of network abnormal risk coefficients; the abnormal ammeter distribution construction module is used for determining a plurality of abnormal ammeters and constructing abnormal ammeter distribution; and the ammeter operation and maintenance management and control module is used for setting an ammeter operation and maintenance scheme according to the abnormal concentration ratio to perform ammeter operation and maintenance management and control. According to the method and the device, the technical problems of poor management and control efficiency, accuracy and safety of the power terminal equipment caused by difficulty in accurately and comprehensively monitoring the state of the power equipment and incapability of predicting the network abnormal risk in advance in the prior art are solved, and the technical effect of improving the management and control efficiency, accuracy and safety of the equipment is achieved.

A system and method may update network policies by determining, among a set of hosts, a subset of hosts to have network policies updated; for each host in the subset of hosts, determining a set of policies relevant to the host; and for each of the subset of hosts, installing the set of policies relevant to the host. The subset of hosts may be determined based on a category or division such as the time zone corresponding to the location of each host in the subset of hosts. The policies relevant to the host may be received from a database and saved to a file with the set of policies relevant to the host; the host may then access the file.

The invention relates to a resource advance processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring resource pre-expenditure information fed back by a resource receiving client for a resource pre-expenditure account, and performing parameter analysis on the resource pre-expenditure information to obtain an account belonging place of the resource pre-expenditure account, an information source place of the resource pre-expenditure information and pre-expenditure confirmation time; under the condition that the account attribution and the information source are in different time zones, performing time conversion on the information source and the account attribution to obtain a first time conversion relation between the information source and the account attribution; converting the advance confirmation time based on the first time conversion relation to obtain equivalent confirmation time of the advance confirmation time in the account belonging place; and recording resource advance information according to the equivalent confirmation time. By adopting the method, the real-time performance of information recording can be improved.

The invention discloses an intelligent power dispatching method for an energy storage system, and relates to the field related to power distribution, and the method comprises the steps: determining time-of-use electricity price information of a power utilization region corresponding to a target energy storage system; collecting first power utilization demand information of the application area of the target energy storage system in the first time zone; collecting the energy storage capacity of the target energy storage system; executing a charging and discharging plan based on the energy storage capacity, the time-of-use electricity price information and the first electricity demand information, and generating the charging and discharging plan; and performing power dispatching control by using the target energy storage system based on the charging and discharging plan. The technical problem that power dispatching of an existing energy storage system is lack of accuracy and flexibility is solved, and the technical effects of accurate power dispatching and flexible control are achieved.

The invention provides a multi-dimensional power distribution optimization method based on ammeter big data and edge calculation, and relates to the technical field of intelligent power distribution, and the method comprises the steps: receiving user distribution topological information of a transformer area; extracting a first ammeter user type and a first ammeter user scale until an Nth ammeter user type and an Nth ammeter user scale; obtaining the predicted running capacity of the first ammeter in a preset time zone; obtaining the predicted running capacity of the Nth ammeter in a preset time zone; predicting the power consumption of the court to obtain the power consumption of the court in a preset time zone; and according to the preset time zone district power consumption, carrying out district power distribution management. According to the application, the technical problem that the power consumption prediction is not fine enough and the power distribution refinement degree is further influenced due to the lack of individual difference analysis of the power consumption of the transformer area users in the prior art can be solved, and the purposes of improving the power consumption prediction and power distribution refinement degree of the transformer area and improving the power distribution refinement degree are achieved. And the power distribution management efficiency and accuracy of the whole transformer area are improved.

This disclosure presents an event management system with real-time, low-latency communication between server and user terminals, facilitating efficient event planning and execution. The system includes an application program interface (API) database with an event execution management API for scenario control, participant messaging, location tracking, progress recording, and resource management API to handle physical assets. A user-friendly interface allows managers to construct event scenarios visually by manipulating graphical elements such as time zones, field zones, and preset layers—enabling quick setup without coding. Event scenarios undergo real-time validation to address scheduling conflicts, resource availability, and participant constraints. The system also includes an event database for program storage and log tracking. A communication processing unit synchronizes participant actions and event status, adjusting in real time based on feedback and location updates. This system enhances event management accuracy and flexibility, responding dynamically to changes in event parameters and participant interactions.

The invention discloses a multi-time-zone task processing method and device, equipment and a storage medium. The method comprises the steps of obtaining task information sent by a user; determining first time zone information and time information; according to the first time zone information and the time information, the task information is converted into standard task data according to a standard contrast time zone, and the standard task data is stored in a database; in response to a request instruction initiated by a user, extracting standard task data from the database; determining current time zone information of the user as second time zone information; and performing second conversion on the standard task data based on the second time zone information to obtain target task data, and sending the target task data to the user client for a user to perform task processing. According to the scheme, the tasks in any time zone can be converted into the standard time zone to be stored and processed and then converted into the current time zone, systems do not need to be deployed in different regions respectively, the standard mode can be converted in a unified mode, the deployment cost is reduced, a user can use the time zone conveniently, and application and popularization are facilitated.

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.