421 results about "Time zone" patented technology

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.

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.

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.

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.

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.

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.

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.

To provide a home presence rate management device and a home presence rate management method which can precisely predict the home presence rate of a resident.SOLUTION: A home presence rate management device includes a home presence rate prediction information storage unit and a home presence rate prediction information processing unit. The home presence rate prediction information storage unit has a home presence rate prediction data table for storing the prediction value of the home presence rate set for each house and each time zone. The home presence rate prediction information processing unit acquires information of the home presence rate and the home absence rate for each house and each time zone as information on delivery operations that a distributor has done in a predetermined period of time, and adds more predicted values of corresponding houses in corresponding time zones in the home presence rate prediction data table when the amount of information showing presence in the home is larger, and subtracts more predicted values when the amount of information showing absence in the home is larger, on the basis of the acquired information.SELECTED DRAWING: Figure 1

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.

A delivery control server 2 acquires the deliverable time zone of the target article to be delivered to the delivery destination by the UAV 1, acquires the satellite information relating to one or more positioning satellites that can be captured at each of a plurality of positions from the delivery base to the delivery destination of the target article in the deliverable time zone, and sets the delivery route from the delivery base to the delivery destination of the target article so as to avoid one or more positions where the positioning accuracy is relatively low in the deliverable time zone among the plurality of positions in the area from the delivery base to the delivery destination of the target article, on the basis of the acquired satellite information.

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 discloses a power grid peak regulation and frequency modulation adaptive optimization platform, and belongs to the field of power grid peak regulation and frequency modulation, and the platform comprises a peak period gap prediction module which is used for determining a plurality of peak period gap time zones and a plurality of peak period power generation gaps; the peak regulation and frequency modulation decision module is used for generating a plurality of peak regulation and frequency modulation strategies; the peak and frequency regulation loss evaluation module is used for obtaining a plurality of peak and frequency regulation loss coefficients; the peak regulation and frequency modulation loss judgment module is used for generating a plurality of peak regulation and frequency modulation loss judgment results; the peak and frequency modulation optimization module is used for generating a peak and frequency modulation optimization strategy set; and the peak and frequency regulation execution module is used for performing peak and frequency regulation on the power grid. The technical problem that in the prior art, power grid peak period power generation gaps are difficult to effectively cope with power grid peak period peak period power generation gaps, and consequently power grid operation is unstable is solved, and the technical effects of effectively coping with the power grid peak period gaps and guaranteeing stable power grid operation through self-adaptive optimization of power grid peak period frequency modulation are achieved.

The invention discloses a customer service optimization method and system based on generative artificial intelligence, and relates to the technical field of artificial intelligence, and the method comprises the steps: reading the retention parcel attribute and retention duration, and setting a reminding short message sending frequency and configuring a sending time zone in combination with the site load and the historical average pickup duration of a user; retrieving a sample data set from a parcel operation database based on the user portrait and a preset parcel taking association factor; training a generative artificial intelligence model by using the sample data, and constructing a pickup probability predictor; and in the short message sending time zone, a predictor is used for optimizing and determining an optimal time node corresponding to the maximum predicted pickup probability, and a reminding short message is sent to a user. Therefore, the technical effects of accurate reminding, improvement of processing efficiency and improvement of user experience are achieved.

A product management device includes an acquisition means for acquiring a discard time of a product based on a photographed image obtained by photographing the product displayed on a furniture and an expiration date of the product; a prediction means for predicting a sales quantity for each time zone based on a prediction model created using past sales quantity information of the product; an estimation means for estimating a number of products to be cooked for each time zone based on the discard time and the sales quantity of the product; and an output means for outputting the number of products to be cooked.

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.

To provide a system.SOLUTION: A system includes means for designating a person, a date, a time zone, a place, or the like by targeting image and moving image files stored in an apparatus connected to WiFi or on a cloud, and means for referring to an image and a moving image corresponding to a designated condition.SELECTED DRAWING: Figure 1

According to the present invention, it is possible to improve the efficiency of search operations using a plurality of moving bodies. 【Solution means】 The present invention is a control system that controls the operations of a plurality of moving bodies equipped with measurement sensors capable of detecting an object to search for the object. The control system includes a search condition information acquisition unit that acquires search condition information including at least one of a search target area and a search period, a search target determination unit that determines a search target according to the search condition information, and a search operation command unit that transmits an execution command for search by the moving bodies based on the search target. The search target determination unit determines a search target for each of a plurality of partial areas defined within the target area or for each of a plurality of time zones within the search period.

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