164 results about "Time table" patented technology

The invention relates to the technical field of computing power scheduling, and discloses a heterogeneous resource computing power intelligent scheduling method and system. According to the method, real-time state monitoring is conducted on heterogeneous computing resources, and resource state parameters such as the computing unit utilization rate and the memory occupancy rate are obtained; task attributes and user request parameters of the task queue are collected, historical task data are processed based on the genetic algorithm optimization model to execute task demand prediction, and predicted demand parameters are generated. A dependency graph containing resource unit nodes and communication link roadsides is constructed through a resource topology analysis tool, predicted demand parameters are input into a scheduling priority classifier trained by a graph neural network, and an actual scheduling priority is identified. And executing resource conflict prediction based on the priority, inputting task feature vectors into a conflict resolution module of a fuzzy logic decision maker, outputting actual conflict resolution parameters, and finally integrating to generate a scheduling scheme containing a resource allocation sequence and an execution time table.

Methods, systems, and media for timing presentation of content are provided. In some embodiments, the method comprises: causing a first video content item to be presented on a user device of a user; wherein the video content item is provided by a video sharing service; identifying a promotion for the video sharing service that is to be presented to the user during a time window; determining a probability that the user will select the promotion if the promotion is presented at a first time point within the time window in connection with the first video content item; determining whether to present the promotion at the first time point based on at least on the probability; in response to determining that the promotion is to be presented at the first time point, causing the promotion to be presented on the user device at the first time point in connection with the first video content item; and, in response to determining that the promotion is not to be presented at the first time point, causing the promotion to be presented on the user device at a second time point in connection with a second video content item, wherein the second time point is within the time window and wherein the second time point is after the first time point.

A wireless device drops sounding reference signal (SRS) transmissions, in SRS resources linked for bandwidth aggregation, that conflict in time with a transmission or a reception scheduled by downlink control information (DCI). A time period between a last symbol of the DCI and a starting symbol of the SRS transmissions is equal to, or greater than, a number of symbols plus a guard period of the bandwidth aggregation.

The invention provides an electric energy meter clock error calibration system and calibration method. The method comprises the steps of presetting a control time table of a high and low temperature box and at least two automatic trimming schemes; the upper computer adjusts the temperature of the high-low temperature box according to the control time table; switching the connected meter numbers through a clock signal relay, obtaining a daily timing error message of each meter number in each round of test, and analyzing to obtain PPM and S / D data; carrying out mean value calculation on all PPM and all S / D data obtained by each meter number in each round of test, and obtaining a clock error value comprising a PPM mean value and an S / D mean value; after each round of test is finished, according to a clock error value corresponding to the meter number, assembling to obtain an RTC trimming frame according to the selected automatic trimming scheme, and sending the RTC trimming frame; and verifying an RTC trimming result. According to the invention, full-automatic test trimming can be realized, and the efficiency and precision of test and calibration are significantly improved.

The invention provides a loss prediction method and system for a light building material. Wherein the long-term change trend of the environment where the light building material is located is analyzed and processed, and an analysis result is obtained; according to the analysis result, key environmental factors having significant influence on aging of the light building material are identified, and the potential loss risk level of the building material is obtained; based on the potential loss risk level, mining historical data laws extracted from maintenance records, user feedback and a historical case library by using a time sequence analysis technology, and generating a performance degradation estimation curve; and making a maintenance plan and a replacement time table of the light building material by comprehensively considering functional requirements, economic cost and safety standards of the building according to the performance degradation estimation curve. According to the technical scheme provided by the invention, the aging prediction precision and the maintenance efficiency of the light building material are remarkably improved.

The invention discloses an animal epidemic prevention processing method and system based on a block chain, and the method comprises the steps: building a farm basic database, formulating an epidemic prevention time table in combination with animal variety characteristics and geographic position climate conditions, and determining epidemic prevention time nodes of a farm; the method comprises the following steps: acquiring farm environment data, animal health data and epidemic prevention operation records in real time through Internet of Things equipment, and generating an epidemic prevention execution data stream; comparing the epidemic prevention execution data stream with a preset epidemic prevention measure execution list, and judging the implementation condition of epidemic prevention measures by setting a threshold value and a rule; according to the epidemic prevention execution data flow and the implementation condition of the epidemic prevention measures, a random forest algorithm is adopted to analyze the epidemic prevention effect, and an epidemic prevention effect evaluation report is generated; and an epidemic prevention effect evaluation report and epidemic situation early warning information are encrypted, stored and shared through a block chain, and data support is provided for epidemic prevention decision making. According to the invention, intelligence, precision and traceability of epidemic prevention management of the farm are realized.

The invention relates to the technical field of multivariable time series prediction, in particular to a time series prediction method and system based on dynamic hypergraph and multi-scale coding. The method comprises the steps of performing data preprocessing on acquired data; constructing a multivariable time series prediction model, wherein the multivariable time series prediction model comprises dynamic clustering hypergraph construction and correlation information spreading and variable output; performing multi-scale time representation learning on the output variable; carrying out iterative training on the multivariable time sequence prediction model; and performing data prediction by using the trained model. According to the method, through dynamic clustering hypergraph learning, precise modeling of the complex space-time dependency relationship is realized.

The invention relates to a discrete manufacturing factory production scheduling strategy determination system and method, and the system comprises a data collection unit, an analysis processing unit, a scheduling strategy generation unit, a simulation strategy operation unit, an execution control unit, and an adjustment optimization unit which are in communication connection with a user interface unit. According to the method, an optimized scheduling strategy can be quickly generated, waiting time and shutdown time in the production process are reduced, and therefore the overall production efficiency is improved, R1, the future order quantity is analyzed and predicted through big data; r2, applying an artificial intelligence algorithm to generate a preliminary scheduling strategy plan list; r3, selecting a required scheduling strategy plan list; and R4, the progress is monitored in the production process, the production time table is automatically adjusted according to the actual situation, it is ensured that changes are responded in time, and the complexity of production scheduling is simplified by defining the operation process of each step, so that the production scheduling is more standardized.

Discloses are a method for detecting a scheduling deadlock in data query. A query plan tree generated by a query statement includes a common temporary table production operator node, a common temporary table consumption operator node, and a hash join operator node. At least one right table chain in the tree is determined. Operator nodes in the right table chain are traversed from bottom to top starting from the leaf node in the right table chain, and the other operator nodes in the tree are traversed, to analyze an execution order relationship between the operator nodes traversed in the tree. When it is found based on the execution order relationship that there are two identical common temporary table consumption operator nodes in the tree that have scheduling dependency, and their upstream operators are the same common temporary table production operator, it is determined that there is a scheduling deadlock.

Extensometer (10) for measuring strain / stress on a test specimen (200) in a material testing device (190), comprising: - an imaging device (16) for producing an image of a test sample (200) which is subjected to a stress-inducing load; - a calculating device (30, 22, 24) for receiving the image of a test sample (200), for determining the movement of targets (202) on a test sample (200) and for determining the strain / stress from the determined movement of the targets (202); and - an output device (400) for outputting the specified strain / stress in real time, characterized by that the imaging device (16) and the calculating device (22, 24) are located on a single printed circuit board (15), wherein the computing device (30, 22, 24) comprises a field-programmable gate array (22) and a microprocessor (24), and wherein the entire data path from image data input to output takes place in hardware, and that the extensometer (10) has an input for receiving a trigger or synchronization signal to initiate operation or time stamping and, upon receipt of the signal, to generate a time-stamped image of the test sample (200), and that the output device (400) is designed to output the specified strain / stress along with the image with the timestamp.

A wireless device drops sounding reference signal (SRS) transmissions, in SRS resources linked for bandwidth aggregation, that conflict in time with a transmission or a reception scheduled by downlink control information (DCI). A time period between a last symbol of the DCI and a starting symbol of the SRS transmissions is equal to, or greater than, a number of symbols plus a guard period of the bandwidth aggregation.

The invention discloses an AGV traffic control system and method based on collision detection and arrival time. The system comprises a collision management module used for testing possible collision between AGVs according to a map; the time table management module is used for determining a time table when the AGV arrives at each point location and adjusting the time table when the time of occupying the road between the AGV tasks has conflict; the collision area management module is used for analyzing whether the AGV tasks to be distributed collide or not and analyzing whether the road occupation time among the AGV tasks has conflicts or not according to the time table, the collision area and the AGV tasks; the collision detection module is used for analyzing whether the path of the to-be-allocated AGV task is in the collision area or not and analyzing whether the path of the to-be-allocated AGV task can enter the collision area or not; and the task allocation determination module is used for determining whether the to-be-allocated AGV task is an allocated task or not. According to the invention, the AGV task execution efficiency and the path utilization rate are improved, and automatic and stable operation can be realized.

The invention relates to an interval train number checking method, medium and system, and the method comprises the following steps: configuring checking rules, and reading all checking rules from a configuration file through OGT software; traversing single passes of all the trains according to the time table, and when the single passes are matched with any interval in the checking rule, recording and storing the in-out interval into an in-out interval recording table; after traversal is completed, the in-out interval record table is sequenced from morning to evening according to time points, and in-out interval information of all the trains on the time axis is obtained; traversing in-out interval information, and obtaining the total number of trains in each interval through a counter; when the total number of the trains in the interval is larger than or equal to the upper limit of the number of the trains, one piece of warning information is recorded every time the counter changes. Compared with the prior art, the method has the advantages that timetable compiling can be refined by checking the number of the trains existing in the interval at the same time, operation efficiency is improved, and safety is guaranteed.

The invention relates to the technical field of time series prediction, and discloses a time series prediction system and method based on expert denoising, and the method comprises the steps: reading an online database, obtaining historical time series data, and building a conditional diffusion model frame which comprises a time context embedding model and a training model, and inputting the historical time series data into a conditional diffusion model, and obtaining historical data characterization. According to the time series prediction system and method based on expert denoising provided by the invention, through establishing a conditional diffusion model framework, after inputting the historical time series data, a complex time series mode is effectively captured, and time-rich characterization is extracted; meanwhile, time characterization is combined with time context embedding, a multi-expert de-noising device is adopted to carry out segmented noise adding and de-noising, and each time of de-noising is refined, so that the model capacity can be remarkably improved while the high reasoning speed can be kept, and then the prediction precision under different noise conditions is improved.

The invention discloses an integrated optimization method based on an abnormal state urban rail transit operation end period timetable and a jump stop plan. The method comprises the following steps: acquiring passenger demand data and train operation parameters in an operation end period; according to the passenger demand data and the train operation parameters, a mixed integer multi-objective optimization model is constructed, and the model comprises an objective function and constraint conditions; solving the mixed integer multi-objective optimization model by adopting a multi-objective whale optimization algorithm to obtain a Pareto optimal solution set; and outputting the Pareto optimal solution set for generating a time table and a jump stop plan of the operation end period. According to the method, the time table and the jump stop plan are integrated and optimized, so that the total waiting time of the passengers is remarkably shortened in the operation ending period, meanwhile, the number of the passengers who are not served due to jump stop is effectively reduced, and the overall operation efficiency and the service fairness are improved; according to the method, various optimization schemes can be flexibly generated, and decision basis is provided for operating enterprises.

The invention relates to an anti-deadlock resource allocation system and method based on a timetable, the system comprises a trackside resource controller WRC, an ATS scheduling module and a turnout, the ATS scheduling module issues the timetable to the trackside resource controller WRC, the trackside resource controller WRC carries out escape according to the timetable and the turnout to obtain an escape timetable, and the escape timetable is used for sending the timetable to the ATS scheduling module. Resource allocation is determined according to five criteria; when resource conflicts exist, the WRC combines an escape timetable and five criteria, the WRC sequentially carries out arbitration according to the priority degrees from high to low, the WRC obtains resources with the high priority degree and releases resources with the low priority degree, and the process is achieved through the method. According to the method, the timetable is added to a judgment criterion, the escape timetable is obtained by escaping the timetable and the turnout, the train arrival sequence is taken as one of judgment conditions, the train can comply with the arrival sequence of the operation timetable while freely competing for resources, and resource distribution can ensure planning.

The embodiment of the invention provides an automatic process control method and device, electronic equipment and a storage medium. The automatic process control method comprises the steps that in the execution process of an automatic process, according to the actual completion time of completed operation steps and based on the order relation of the operation steps, the time arrangement of the operation steps which are not executed is adjusted, and a first time table is obtained; judging whether the interval duration between two adjacent operation steps meets the corresponding time constraint duration or not; if not, determining first-time growth vigor which represents the degree that the interval duration deviates from the corresponding time constraint duration; according to the first-time growth vigor, the plan starting time of the operation steps which are not started to be executed in the first time table is adjusted; and executing the running steps which do not start execution according to the adjusted first schedule. Constraint conditions among the steps can be well met, and the continuity and stability of the whole automatic process are ensured; calculation is simple, efficiency is high, and delay is low.

To provide a system.SOLUTION: A system includes means for specify what is to be decided in a meeting, means for creating an agenda, selecting necessary members and adjusting schedules based on the specified content, means having timekeeper and facilitator functions to efficiently proceed with the meeting, means for taking minutes of conversations during the meeting and organizing decisions and next actions, and means for sharing the minutes.SELECTED DRAWING: Figure 1

The invention discloses a beacon system based on dual-mode communication, an area approaching detection method, electronic equipment and a storage medium. The system comprises a plurality of beacons, each beacon comprises a controller, a communication module and a low-frequency transmitting module, and the controller comprises a transceiver; the communication module is used for receiving beacon configuration parameters of configuration equipment; the beacon configuration parameters comprise transmitting time slices and transmitting power; the controller is used for performing timestamp synchronization among a plurality of beacons through a private protocol in an idle time window of the transceiver, and establishing a unified time reference; under a unified time reference, determining a synchronization time table based on the transmission time slices; controlling a low-frequency transmitting module to transmit a low-frequency signal based on the synchronization time table and the transmitting power to form a signal coverage area; according to the method, microsecond-level accurate synchronization is realized through a private protocol, the problems that a traditional scheme lacks a time synchronization mechanism and signal conflicts are easily generated in multi-beacon work are solved, and the reliability of multi-beacon cooperative work is ensured.

The invention relates to the technical field of multi-machine cooperative control, in particular to a multi-machine cooperative automatic operation method and system for train loading. Comprising the steps that position information and predicted arrival time fluctuation data of a train are collected in real time through a sensor network, and an arrival time uncertainty quantitative index is obtained through a time sequence prediction model; according to the index, judging and determining an equipment allocation priority sequence; adjusting equipment working parameters and generating a preliminary adjustment scheme by combining the equipment state data and an optimization algorithm; according to the optimization parameters and the multi-machine cooperation requirements, a resource utilization model is constructed, a multi-machine cooperation rotation time table draft is obtained, refining is carried out, and finally a refining time table is generated; and based on the time table and the real-time feedback, updating the equipment cooperation time to obtain a final multi-machine cooperation scheduling scheme. The operation state of the loading equipment can be dynamically adjusted, the collaborative operation efficiency of the equipment is improved, loading delay is reduced, and the resource utilization rate is maximized.

The invention relates to an intelligent control method and system for a double-table-board laser cutting machine in the field of new-generation information technology, and the method comprises the steps: collecting complex workpiece parameters and processing duration data of each task in the double-table-board laser cutting machine in real time, and carrying out the preliminary sorting of an initial task sequence through a genetic algorithm, thereby obtaining a preliminarily optimized task distribution sequence; for a low-power operation scheme, a cooperative operation time table is generated in combination with the balanced task allocation sequence, potential energy waste points are extracted from the time table, and a refined energy management sequence is obtained by fusing task duration data through an information processing link; monitoring a real-time equipment state, if an idle state is detected, switching to low-power operation, and determining a final task coordination and energy consumption control model by continuously updating sequence parameters; and for the final task cooperation and energy consumption control model, historical operation data is obtained for verification, and if a verification result shows that the production efficiency is improved, an optimized double-table-board laser cutting machine operation protocol is output.

The invention discloses a sintering feeding process belt weigher mutual verification system based on a time sequence and a control method, and belongs to the technical field of sintering equipment control, the sintering feeding process belt weigher mutual verification system comprises sintering feeding equipment and a verification system, and a material metering device and a water adding flow meter of the sintering feeding equipment are both connected with the verification system; the verification system comprises a data processing module, a time table module, an abnormity analysis module and a data alarm module, the data processing module is connected with the time table module, the data processing module and the time table module are connected with the abnormity analysis module, and the abnormity analysis module is connected with the data alarm module. According to the invention, the material balance theory and the time sequence algorithm are organically combined to realize mutual verification between the belt weighers, abnormal measurement data are judged, and a producer is prompted to carry out calibration and maintenance in time, so that the accuracy and stability of the measurement data in the sintering and feeding process are ensured, and the accuracy and robustness of a related control model are improved.

To provide a system.SOLUTION: A system includes means for users to create their own characters, means for the created characters to carry out the user's daily tasks on their behalf, and means for the created characters to manage a schedule of a day, set appointment reminders, send emails, etc.SELECTED DRAWING: Figure 1

An apparatus for processing a substrate, comprises a plurality of processing modules, each configured to perform processing of a substrate; a transfer machine configured to transfer the substrate; and a controller configured to create a transfer time table, which causes the substrate to be transferred between the plurality of processing modules and to be processed, and to control the transfer of the substrate by the transfer machine and control the processing of the substrate in each of the plurality of processing modules, based on the transfer time table, wherein when it is determined that a retry or an extension of a cleaning process is expected to occur or occurs in a first processing module out of the plurality of processing modules, the controller sets the first processing module to be non-usable and updates the transfer time table, such that a subsequent substrate does not pass through the first processing module.

A quantum computing system includes a quantum device configured to execute a quantum operation; instrumentation devices configured to transmit a control signal for executing the quantum operation; and a synchronization trigger distribution device configured to transmit a second trigger signal for instructing transmission of the control signal to at least one of the instrumentation devices based on a first trigger signal indicating a timing. The synchronization trigger distribution device includes a control sequence table for specifying a predetermined instrumentation device, to which the second trigger signal is to be output, based on the first trigger signal, and a delay time table for specifying a delay time corresponding to each of the instrumentation devices. The synchronization trigger distribution device outputs the second trigger signal to the instrumentation device specified based on the control sequence table, at a timing based on the delay time specified based on the delay time table.

Techniques for notifying users of events for objects in a system of record are described. A request to generate the event is received. The event is indicative of a modification of an object. The event is recorded in a timeline table for a timeline of the object. Based on the modified object in the timeline table and a user table, one or more users may be identified. Further, the event is classified to determine a notification type of the one or more users from the user table. All interested users are selected from the one or more users and notified of the event. In an example, the system automatically subscribes users to receive notification of the occurrence of an event for the object. In an example, the one or more users may request to stop receiving the notification of the occurrence of the event for the object.

The invention belongs to the technical field of heat-supply pipe networks, and particularly relates to an intelligent monitoring method and system for a heat-supply pipe network, temperature and pressure signals of each node in the pipe network are collected, the signals are converted into digital information, and response characteristics of the heat-supply pipe network under different environment conditions are evaluated based on the digital information; according to the evaluated response characteristics, the information interaction frequency among the nodes is adjusted, and the pipe network state is periodically checked by using the set information interaction frequency; determining an abnormal point and generating a warning mark according to a check result, and planning a maintenance path and a time table on the basis of the generated warning mark; and according to the formulated time table, the maintenance personnel are dispatched to the site to execute tasks, maintenance feedback is collected, and a monitoring strategy is optimized. The method can automatically identify and adapt to environmental changes, and ensures that the efficient operation of the system can be maintained even under extreme weather conditions.

The application discloses a multifunctional smoke fire early warning method and system and a readable storage medium, and relates to the technical field of safety warning. In the method, a current time window is determined according to the position of the current time in a preset time table; a plurality of types of sensor data are collected in the current time window; if the current time window is a second type of window, and any sensor data is greater than a corresponding upper limit threshold value, an early warning information is sent; if the current time window is a first type of window, a change value of the sensor data in the current time window is obtained, and change values of the sensor data in a preset number of continuous time windows before the current time window are obtained; in the case that the change value continuously increases with time and each increase is greater than an accumulated threshold value, an early warning information is sent, and if any sensor data is greater than a corresponding non-sensitive threshold value, an early warning information is sent, so that the false positive rate in a high smoke environment, such as a kitchen, is reduced.

The invention discloses a seismic data removal processing method, system and device and a medium, and the method comprises the following steps: S1, analyzing and processing seismic data, and generating a minimum offset seismic attribute; s2, determining a'full coverage 'boundary and a'primary coverage' boundary by using the minimum offset seismic attribute, giving a corresponding water bottom removal time, and calculating an unknown water bottom removal time by using an isoline interpolation method; s3, smoothing the calculated water bottom removal time; and S4, applying a removal time table: writing all the water bottom removal time into a seismic trace header in a trace-by-trace matching mode, and carrying out zero filling processing on the amplitude value of the part above the water bottom removal time. The method is high in adaptability to irregular boundary three-dimensional seismic data, and the purposes of shortening the data processing period, reducing the labor intensity of processing personnel and improving the project operation efficiency can be achieved.

The invention provides a port defense method, system and device based on an MAC address and a medium, and the defense comprises the steps: obtaining a data frame sent by an access device, the data frame comprising the MAC address of the access device; when it is detected that the table item of the MAC address exists in the MAC address table, the survival time number of the table item is obtained; the number of times of survival time is used for identifying the effective time of the MAC address, the number of times of survival time of the table entry is reduced every preset time, and the number of times of survival time of the table entry is increased every time when the MAC address is learned and the corresponding receiving port is changed; learning the MAC address when judging that the number of survival times is smaller than or equal to a set threshold value; when it is judged that the survival times are larger than a set threshold value, the data frames are discarded; according to the above steps, attack behaviors caused by MAC drift in a short time can be identified, automatic defense is carried out, namely, the MAC is not learned and the frame data is discarded, meanwhile, configuration is simple, regular updating is not needed, and the network performance and the data transmission rate are not affected.