2479 results about "Current time" patented technology

The invention discloses an electric connector fault prediction method, and the method comprises the steps: synchronously obtaining multiple types of time series data of a contact area of a target electric connector in a preset time window based on a preset data collection device, and the time series data comprise temperature spatial and temporal distribution time series data, contact resistance transient time series data and a surface image sequence; performing feature analysis on the multi-source time sequence data by using a preset time sequence coupling sign extraction mechanism to obtain a multi-source phase change feature vector of the target electric connector in the current time window; inputting the multi-source phase change feature vector into a pre-trained electric connector health state prediction model, and outputting a prediction result of the health state of the target connector at the current moment, including a health state index; and performing differential early warning based on the predicted health state index of the target connector. Therefore, early and quantitative accurate prediction of the state of the electric connector is realized.

The present application relates to a waveform file conversion method and apparatus for chip testing, and a computer readable storage medium. The method comprises: performing content analysis on a waveform file to be converted, to acquire period information, pin information, and state information of pins in each period of said waveform file; generating a PAT-format digital signal waveform file; and on the basis of a mapping relationship between pins and ATE channels, converting the PAT-format digital signal waveform file into a binary vector file for ATE testing. A waveform file in any format is converted into a PAT-format digital signal waveform file which uses periods as rows and pins as columns, so that each row vector not only contains current time information but also contains a logical state of each pin; in addition, to facilitate understanding, the PAT-format digital signal waveform file is further converted into a binary vector for ATE testing, so that efficient processing of waveform files in a plurality of different formats can be realized, thereby improving the universality of conversion.

The invention relates to a scraper chain tension dynamic optimization method based on real-time load feedback, and belongs to the technical field of scraper chain control. The method comprises the following steps: acquiring load data of a scraper chain in various operation states; carrying out standardization processing on the load data of various operation states and then extracting features to obtain load time sequence features; carrying out time attention mechanism processing on the load time sequence characteristics and the load data of the multiple operation states to obtain importance weights; a tension value is calculated according to the load data of each operation state and the importance weight of the load data; calculating a real-time working condition coefficient of the current time node, and dynamically adjusting a preset safety tension range to obtain a real-time safety tension range of the current time node; comparing the tension value with a real-time safe tension range, and generating a control instruction according to a comparison result; and executing the control instruction. The tension control method of the scraper chain is optimized, and the control precision of the tension of the scraper chain is improved.

The invention relates to the technical field of baby diapers, in particular to an intelligent baby diaper replacement reminding system integrated with hydrogen sulfide detection, which is used for determining a reference acquisition frequency of each time interval in a time period based on historical multi-dimensional monitoring data of a target user; then determining the necessity of hydrogen sulfide detection at the current acquisition moment based on the multi-dimensional monitoring data in the backtracking time window at the current acquisition moment, and then adjusting the reference acquisition frequency of the current time interval based on the necessity of hydrogen sulfide detection at the current acquisition moment to obtain a final acquisition frequency; acquiring multi-dimensional monitoring data based on the final acquisition frequency in the remaining time interval in the current time interval; and finally, based on the multi-dimensional monitoring data acquired in real time, generating a diaper replacement reminding signal.

The invention discloses a quick data traceability method and system based on multi-source log analysis, and relates to a data processing system or method specially suitable for administrative, commercial, financial, management, supervision or prediction.The method comprises the steps that firstly, the system responds to a service instruction to generate a transaction receipt containing a unique serial number and service attribute parameters; and establishing an association relationship between the two records and generating a to-be-confirmed record and a timestamp. And sending a service message containing the service attribute parameters to a receiving end. When an ownership right reverse search request of a receiving end is received, the system calculates an effective time interval based on current time and a preset time delay threshold value, and screens out a target to-be-confirmed record which is matched with a service attribute parameter and generates a timestamp in the interval. And finally, extracting the unique serial number from the target record, generating a confirmation receipt and sending the confirmation receipt to a receiving end system. The method is used for reducing the calculation overhead and false alarm rate of accurately positioning specific abnormal transactions in massive logs by a system, and improving the confidence and timeliness of an automatic traceability result.

A time series data prediction method and apparatus, and a storage medium are provided. The method includes: obtaining current time series data collected in a current time window that is adjacent to and precedes a prediction time window in a current time period, and obtaining a plurality of groups of historical time series data separately collected in a same target time window of a plurality of historical time periods; encoding the plurality of groups of historical time series data by using a plurality of encoders respectively, to obtain a plurality of historical time series features, where each historical time series feature represents relative location information and change trend information of each group of historical time series data in the target time window; and determining, predicted time series data corresponding to a target object in the prediction time window.

The invention discloses a multi-energy fusion system cooperative scheduling method and device in a port dynamic scene, and relates to the field of port energy system optimization scheduling, and the method comprises the steps: constructing a dynamic coupling relation model according to port data; according to the energy system power of each area at the current time point, a multi-objective optimization model is constructed, and objective functions of the multi-objective optimization model include operation cost minimization, total carbon emission minimization, energy storage equipment service life maximization, energy storage equipment power optimization and energy storage equipment power optimization. The constraint conditions of the multi-objective optimization model are power balance, energy storage charge state, electric hydrogen equipment capacity, berth distribution continuity and load demand priority; according to the multi-target optimization model and the port data of each region at the current time point, determining a target collaborative scheduling operation strategy of each region at the current time point, the target collaborative scheduling operation strategy comprising a multi-energy output distribution scheme, a load response instruction and an equipment operation parameter; and executing the target collaborative scheduling operation strategy of each region at the current time point.

An illumination device, system, and method are provided herein for emulating sunlight along a daytime or nighttime locus. Color temperature is determined using a first color temperature curve that includes data representative of a first color temperature as a function of a time of day. In response to a request to a change in brightness of one or more LED chains, a target color temperature output as a function of the current time of day is determined using a second color temperature curve based on the requested change in brightness. The second color temperature curve includes the target color temperature corresponding to the determined current time of day. The target color temperature output includes a lesser change in color temperature at solar noon than the change in color temperature at sunrise and sunset.

The invention relates to the technical field of data processing, and particularly provides a power supply health monitoring method, system and device and a storage medium, and the method comprises the steps: obtaining the real-time state data of a power supply; evaluating a health degree score of the battery according to the real-time state data; arranging the health degree scores generated in the current time window into a health degree score sequence; and utilizing a prediction model to predict the remaining service life of the battery according to the health degree. According to the method, the health degree score is constructed into the sequential sequence, and the prediction model is adopted for analysis, so that the prediction precision is improved, the working condition adaptability is enhanced, and the maintenance cost is optimized.

The invention provides a robot control method, a robot and electronic equipment, and the method comprises the steps: planning an initial action sequence of the robot according to the environment information of the robot, correcting a part of action sequences in the initial action sequence according to a target action state of the robot at a current moment, and obtaining a target action sequence; and finally, the robot is controlled according to the target action sequence, the collection moment of the environment information is before the current moment, the initial action sequence comprises initial action states of the robot at multiple moments after the collection moment, and the partial action sequence is the action sequence located after the current moment in the initial action sequence. According to the method, the two steps of planning the action sequence and executing the action sequence can be executed at the same time, and the control efficiency is ensured.

The invention relates to an identity authentication and key negotiation method, gateway equipment and a terminal. The method is applied to gateway equipment and comprises the following steps: receiving an equipment certificate sent by a terminal and digital signature information based on first timestamp information; verifying the validity and legality of the device certificate, the validity of the first timestamp information and the validity of the digital signature information; when the verification is passed, randomly generating a session key, and setting a calculation initial value and current time; sending a first encryption result of the calculation initial value and the current time and a second encryption result of the session key to the terminal; and receiving a ciphertext which is sent by the terminal and encrypted by the session key, and determining that terminal identity authentication and key negotiation are successful under the condition that the result of decrypting the ciphertext is a target value which is the sum of the calculation initial value and the preset change value. By adopting the method, the security and reliability of communication between the terminal and the gateway equipment can be improved.

The invention discloses a power distribution network scheduling method and device based on approximate dynamic programming and load aggregation and electronic equipment, and belongs to the technical field of power system scheduling, and the method comprises the steps: obtaining parameters such as the line, cost, topology and load prediction of a power distribution network, and the operation constraint of distributed loads; constructing an aggregation feasible region of the adjustable load cluster; establishing an optimal dispatching model of the power distribution network by taking minimization of the operation cost as a target; reconstructing the power distribution network optimization scheduling model into a Markov decision model; and solving the Markov decision model period by period under the aggregation feasible region and the physical constraint of the power grid. And in each time period, constructing a post-decision state value function by using the current state and a preset fixed slope parameter, solving an optimal scheduling scheme of the current time period, updating the state of the next time period, generating an all-day optimal scheduling scheme, and executing the all-day optimal scheduling scheme. By implementing the method and the device, the technical problem of poor practical operability of dispatching of the power distribution network in the prior art can be solved.

The invention relates to the technical field of conveyor regulation and control, in particular to a pipe chain conveyor operation regulation and control method suitable for bulk material conveying. Obtaining time sequence data of motor working states and monitoring point running states of the pipe chain conveyor in a preset time period and a historical time period, and screening out historical reference time most matched with working conditions at all moments in the preset time period by comparing difference characteristics of the motor working states in the historical time period and the preset time period; carrying out multi-dimensional operation state characteristic comparison on the material blocking probability and each moment in a preset time period, dynamically calculating the material blocking probability, and screening material blocking moments; the material blocking probability difference of all the monitoring points at the material blocking moment and the time relation of the material blocking moment are analyzed, an abnormal transmission chain is constructed, and a material blocking propagation path is revealed; on the basis, feature vectors are constructed, misjudgment is reduced in combination with a neural network, and a refreshed abnormal transmission chain is obtained; and finally, calculating the self-adaptive regulation and control intensity at the current moment based on the refreshed abnormal transmission chain to realize closed-loop optimization of a regulation and control strategy.

The invention relates to the technical field of voice interaction, in particular to a dialogue type AI low-delay response control method and system based on semantic analysis. The method comprises the following steps: firstly, generating a driving intensity correlation factor of a current time window according to the change of CAN bus data; further monitoring the output of the NLU, analyzing the acoustic intonation raising characteristics, and obtaining an interaction suppression coefficient in combination with the driving intensity correlation factor; further acquiring a time pressure coefficient based on the mute duration after the user stops sounding; further comparing the interaction suppression coefficient and the time pressure coefficient of the current time window to obtain a response judgment value; further analyzing the change trend of the interaction inhibition coefficient, and updating an environment improvement flag bit; and finally, according to the driving intensity correlation factor, the environment improvement flag bit and the response decision value of the current time window, carrying out multi-level response decision control, and carrying out selective reset of an interaction state, thereby solving the problems of wrong truncation and response delay of voice interaction under dynamic driving.

The invention relates to the technical field of power system safety, and discloses a safety early warning method and system for a power system data center. The method comprises the steps that a safety monitoring period threshold value is set, when the continuous operation duration of the data center reaches the standard, historical and real-time safety state summaries are synchronously obtained, the historical operation duration comprises historical operation duration and configuration parameters, and the real-time safety state summaries comprise current operation duration and configuration parameters. And searching a security data fluctuation set by calculating security difference measurement of corresponding parameters of the two types of summary. And when the set variation degree is greater than or equal to a variation threshold value, taking the time distance ratio between the data storage starting point and the historical acquisition point as well as between the data storage starting point and the current time point as an early warning trigger factor, and starting a safety data early warning response from the data storage starting point according to the factor. According to the method, historical and real-time data comparison is combined, accurate monitoring of the safety state is achieved, timely risk identification is assisted, and a safety barrier is built for operation of the data center.

The invention relates to the technical field of laser processing control, in particular to a laser energy and light spot swing cooperative control method and system for laser welding, and aims to solve the problems that in the prior art, when parameters are linearly adjusted, the hysteresis effect of heat input and the nonlinear coupling relation of energy density are ignored; therefore, incomplete fusion, over-burning and non-uniform fusion depth of a welding seam are easily caused. The method comprises the following steps: acquiring a weld gap width estimation value and a gap change rate at the current moment; determining the target swing amplitude of the light spot at the current moment; calculating a laser power instruction value at the current moment; and a swing frequency instruction at the current moment is calculated, and closed-loop control is conducted on the welding process in cooperation with the laser power instruction value and the target swing amplitude. According to the method, no matter how the swing amplitude changes, the effective heat flux density acting on the unit area of the weld joint is kept constant, and therefore the consistency of the penetration depth is guaranteed.

The embodiment of the invention discloses a commutation failure detection method, the method is applied to a high-voltage direct-current power transmission system, the high-voltage direct-current power transmission system comprises a converter valve, and the method comprises the following steps: collecting a valve current time sequence signal in a commutation process, the valve current time sequence signal is a current value sequence of the converter valve continuously changing along with time; presetting a time delay parameter; reconstructing a valve current time sequence signal into a three-dimensional phase space trajectory based on the time delay parameter; deriving the three-dimensional phase space trajectory, and determining an instantaneous torsion rate and an instantaneous curvature in a commutation process; substituting the instantaneous torsion rate and the instantaneous curvature in the commutation process into a preset two-dimensional elliptic discriminant; and determining whether commutation failure occurs or not according to whether the discriminant is true or not. According to the method, a two-dimensional ellipse discriminant is adopted to perform joint discrimination on the torsion and the curvature, so that the method has higher sensitivity and reliability, and misjudgment and missed judgment can be effectively avoided.

The invention provides an air-space-ground integrated network switching method, device and equipment and a storage medium, and relates to the technical field of communication, and the air-space-ground integrated network switching method comprises the steps: obtaining the movement track information of mobile equipment, the moving track information comprises the current position of the mobile equipment and the position of the mobile equipment within a first preset duration after the current time; acquiring first network state information of the air-space-ground integrated network, wherein the first network state information comprises current network state information of the air-space-ground integrated network and network state information of the air-space-ground integrated network within a first preset duration after the current time; and according to the moving track information and the first network state information, switching a connection network of the mobile equipment from the first regional network to a second regional network in a moving process of the mobile equipment. According to the invention, the seamless switching technology of the space-air-ground integrated network can be realized, and rapid and stable switching among different networks can be realized.

The invention relates to a station domain control method and system and a storage medium. The station domain control method comprises the steps of data acquisition and state monitoring, wherein the information of electric power flow, vehicle charging state, power grid load and energy storage state of a charging station is mainly acquired; load prediction and electricity price analysis: predicting an ultra-short-term load change trend by adopting a time sequence model LSTM to predict a future load, judging a time period in which the electricity price is located, and judging which time period the current time is in, namely, a peak time period, a flat time period and a valley time period; transformer load evaluation: making a control strategy by calculating available power headroom; power optimization distribution is carried out, and power dynamic adjustment is carried out according to different conditions; a charging pile strategy and an energy storage strategy are adjusted according to the load condition and the electricity price condition; executing a charging and discharging control strategy; the real-time dynamic adjustment refers to periodical adjustment of a charging strategy; according to the invention, electric energy transmission and state monitoring in the charging station can be effectively managed, and the real-time performance, reliability and safety of vehicle network interaction are improved.

Disclosed are techniques for a UE to use a pathloss offset between the DL pathloss RS from a macro BS / TRP and the actual pathloss for UL transmission to a micro UL-only BS / TRP when reporting power headroom or performing a random access procedure. The UE may receive from a first base station a configuration for one or more pathloss offsets associated with respective one or more TCI states. The UE may determine a pathloss variation toward a second base station between a first pathloss measured at a current time and a second pathloss measured at a previous time based on the one or more pathloss offsets associated with the respective one or more TCI states. The UE may determine that the pathloss variation satisfies a triggering condition for a power headroom report (PHR) for an uplink transmission associated with the TCI states. The UE may trigger a transmission of the PHR.

The invention discloses a login token refreshing method and device, and relates to the field of computer networks. A specific embodiment of the method comprises the following steps: acquiring a network request to be sent to a background server by a front end, and inserting the network request into a message queue in a message manner; according to the validity period information of the login token pre-stored at the front end and the current time, obtaining a login token updating demand; in response to the login token updating demand, indicating that the login token needs to be updated preferentially, and inserting an interceptor message in front of a message where the network request is located; and calling a network engine to take out the message from the message queue, and sending a network request in the message to a background server. And non-inductive refreshing of the login token is realized. The invention further provides a corresponding device, electronic equipment and a computer readable medium.

The invention discloses a memory leak detection method and device, equipment and a storage medium, and the method comprises the steps: regularly reading the total memory usage amount at the current moment according to a preset detection frequency, and calculating the memory usage proportion at the current moment according to the total memory usage amount; if the memory use proportion is greater than a proportion threshold value, shooting a heap snapshot at the current moment; obtaining a historical heap snapshot; comparing the heap snapshots at the current moment with historical heap snapshots to identify one or more suspected leakage points; and analyzing the reference relationship of each leakage suspected point to determine each leakage node. According to the method, the macroscopic memory use proportion and the specific microcosmic structure of the heap snapshots are effectively associated, suspected abnormally increased or unreleased objects in the time dimension are accurately captured through comparison information of the heap snapshots, then code roots causing leakage are traced through the reference relation, the leaked nodes are accurately determined, and the leakage efficiency of the heap snapshots is improved. Compared with a manual operation mode in the prior art, efficiency and accuracy are greatly improved.

The embodiment of the invention discloses a product pushing method, electronic equipment, a storage medium and a program product, and relates to the technical field of financial science and technology, and the method comprises the steps: obtaining behavior data of a user in a target application before the current moment from a distributed publishing and subscribing system through a distributed data flow engine, obtaining real-time behavior data, and transmitting the real-time behavior data to a server; obtaining offline behavior data of the user from the data warehouse to obtain historical behavior data; fusing the real-time behavior data and the historical behavior data to obtain user behavior data; determining a pushing rule satisfied by the user behavior data from a preset pushing rule base to obtain a plurality of candidate rules; obtaining a static feature and a dynamic feature of each candidate rule, and determining a priority score of the corresponding candidate rule based on the static feature and the dynamic feature; and the optimal rule is determined based on the priority score of each candidate rule, and the target product corresponding to the optimal rule is pushed to the user terminal of the user, so that the timeliness and accuracy of product pushing are improved.

A light emission control method comprises the following steps: (A) determining an N value; (B) obtaining M different presentation sequences; (C) in the current time interval, for each to-be-displayed picture, according to the picture gray-scale value corresponding to each light-emitting component in the to-be-displayed picture and the total number N of the sub-periods, determining the number of display time periods of units to which each light-emitting component is divided in each sub-period by using the current sequence; (D) in the next time interval, for each to-be-displayed picture, according to the picture gray-scale value corresponding to each light-emitting component in the to-be-displayed picture and the total number N of the sub-periods, determining the number of display time periods of units to which each light-emitting component is divided in each sub-period by using the next sequence; and (E) repeating the step (D) until the next sequence is the previous sequence of the current sequence, and returning to the step (C). Therefore, artifacts are improved.

An exit compensation method, a PI control method and an energy storage system are applied to a PI control process of a DC converter, and comprise the following steps: determining an exit working condition of the DC converter at the current moment according to a preset reference voltage value, a bus voltage sampling value at the current moment and a first filtering value at the current moment, the quit working condition comprises bus voltage overshoot quit and bus voltage undervoltage quit; when the working condition is bus voltage overshoot quit, whether the DC converter is in a charging overvoltage working state at the current moment or not is judged according to the output value of the voltage outer ring at the current moment; when the DC converter is in a charging overvoltage working state or in a bus voltage undervoltage quit working state, determining a quit difference value according to the first filtering value and the second filtering value; determining a primary linear relation between an exit compensation coefficient and an exit difference value; and according to the quit compensation coefficient and the output value of the voltage outer ring at the current moment, determining the output of the voltage outer ring at the next moment, and realizing undisturbed quit and smooth handover of the compensation effect.

This disclosure provides a state switching method, apparatus, and electronic device. The state switching method includes: generating and maintaining a state switching signal when a preset state switching condition is met; switching the state of a target object using the state switching signal; calculating the time interval between the current time and the end time of a synchronization alignment signal; the synchronization alignment signal is a signal applied to the target object earlier than the state switching signal; and ending the state switching signal when the time interval meets a preset condition, thus completing the state switching of the target object; the preset condition includes the time interval being an even multiple of a first clock cycle. This embodiment ensures that the output signal of the target object after state switching is synchronized with the synchronization alignment signal, solving the problem of timing disorder and improving circuit performance.

The invention discloses a dynamic correction timing method, device and system and a storage medium, and belongs to the technical field of kitchen appliances. The dynamic correction timing method is applied to the range hood. The range hood comprises a micro-control unit. The dynamic correction timing method comprises the following steps: networking to obtain standard network time; after the standard network time is successfully obtained, determining a time deviation value according to the standard network time and the current timing time of the micro-control unit; calculating a current time compensation coefficient according to the time deviation value and the networking calibration time interval; and before the standard network time is obtained through next networking, the timing time of the micro-control unit is corrected by using the current time compensation coefficient. Therefore, long-term accurate timing of the range hood can be achieved, and the problem that the long-time accumulated timing deviation of the range hood is large is effectively solved.

Operators typically utilize techno-economic means to set peak power demand in power infrastructure sites, such as power depots and microgrids. However, conventional means tend to either produce sub-optimal values of peak power demand or be too computationally expensive to be performed in a real-time or scalable manner. Accordingly, disclosed embodiments utilize a sliding time window to continuously or periodically determine peak power demand in past, current, and future portions of a current time period. These embodiments are able to determine an optimal peak power demand for the current time period, while remaining computationally feasible for real-time performance and being scalable with the complexity of optimization.

The invention relates to the technical field of vehicle maintenance, and provides a vehicle part abrasion determination method and a vehicle. The method comprises the steps that vehicle driving data and external environment data in the current time period are obtained, and the abrasion influence coefficient of the external environment on a part is determined through the external environment data; the current wear value of the component is determined according to the wear influence coefficient and the vehicle running data, component loss prediction in combination with the external environment and the vehicle running state is achieved, the predicted component loss better conforms to the actual use condition, more accurate maintenance prompt can be achieved on the basis of the predicted component loss, the risk of misjudgment of maintenance is avoided, and the maintenance efficiency is improved. The purpose of on-demand adaptive maintenance is achieved, the problems of excessive maintenance and insufficient maintenance caused by periodic maintenance are solved, the maintenance cost and the failure rate of vehicle parts are reduced, and the active maintenance willingness of a user can be improved while the driving safety of the vehicle is guaranteed.

The invention provides a liquid raw material scheduling method and device based on a rolling time domain, and the method comprises the steps: solving a rolling time domain optimization model under a current time window, and obtaining a first control instruction set; a first control instruction in a target time period is selected and sent to the liquid raw material scheduling system for execution, and the remaining first control instructions are discarded; collecting process data when the liquid raw material scheduling system executes the first control instruction in the target time period; determining a key model parameter value according to the process data and the predicted value, and performing parameter updating on the rolling horizon optimization model by using the key model parameter value; and when an instruction correction condition is met, determining a second control instruction set by using the parameter-updated rolling time domain optimization model, so that the liquid raw material scheduling system executes liquid raw material scheduling according to the second control instruction set. By adopting the liquid raw material scheduling method and device based on the rolling time domain, the real-time response capability to dynamic disturbance in the liquid raw material scheduling process is improved.