15 results about "Sliding time window" patented technology

The invention discloses a post-processing method based on a remote sensing image fire point identification result, and relates to the technical field of fire point identification, a sliding time window method is used to acquire a fire point set when a T + 0 period task starts, and fire points comprise coordinates, generation time TG and affiliated attributes of a solar flare angle SG. According to the post-processing method based on the fire point recognition result of the remote sensing image, the correlation of fire points in the space-time dimension is fully utilized, the fire points with adjacent geographic positions in the same time phase are aggregated into a'fire scene ', then the fire scene is filtered by utilizing statistical information of a similar fire point set, 'non-fire scenes' caused by most solar flare angles and the like are eliminated, and the fire point recognition result of the remote sensing image is obtained. The false alarm rate of fire point identification is greatly reduced; and overlapping fire scenes in different time phases are aggregated into a fire event by using a space-time aggregation algorithm, and meanwhile, most of accidental non-fire scenes are further eliminated, so that the false alarm rate of fire point identification is further reduced.

The invention provides a time sequence decomposition relaxation cutting method for a security constraint unit commitment problem, and relates to the field of data processing. In the method, a full-scheduling time domain is divided into a fixed window, an integer window, a relaxation window and a neglect window through a dynamic sliding time window, and a unit commitment problem is solved in stages. Firstly, sub-problems are established in an integer and a relaxation window, results are gradually solidified, a global safety feasible solution is obtained in combination with full-scene safety detection and a cut plane dynamic adding mechanism, then decision variables are released in an optimization window with the solution as an anchor point for local optimization, rolling optimization is carried out along a time axis to continuously reduce scheduling cost and improve safety margin, and finally, scheduling is completed. And finally, outputting an optimized full-time-domain scheduling scheme. By implementing the technical scheme provided by the invention, the timeliness of solving the SCUC problem by the server is improved.

Network threat events are declared in response to detecting network traffic data indicative of network threats in network traffic involving hosts of a private computer network. Common hosts of the private computer network are identified in network threat events that have occurred within a sampling period. For each identified common host, a baseline of network behavior of the common host in network threat events that have occurred within a sliding time window is generated. A new threat event that has occurred after the sliding time window is identified as anomalous by comparing a network behavior of a common host in the new network threat event against the baseline of network behavior of the common host. An alert is issued in response to detecting an anomalous network threat event that has a risk rating that exceeds a threshold risk level.

The invention discloses a data synchronization statistical method and system based on a sliding time window, and belongs to the technical field of informatization software systems and Internet, the method is implemented by the following steps: data synchronization: data is cleaned and converted into aging data available for the system; window management: constructing a dynamic step length adjusting system according to the timeliness difference of window data, and initially adopting different step lengths for different windows; according to the feedback of real-time monitoring data flow and system load, the step length of each window is automatically reduced or increased, and the dynamic balance of resource utilization and processing efficiency is realized; exception handling: through hierarchical response, automatic retry or compensation to ensure that the data is not circulated due to exception; and meanwhile, a visual monitoring system is added. According to the invention, high-efficiency circulation and accurate statistics of data can be realized, and the data synchronization statistical performance and stability are improved.

The embodiment of the invention provides a self-adaptive cache management method and system. The method comprises the following steps: firstly, configuring basic expiration time, an updating strategy and a hotspot flow threshold value by utilizing intelligent annotation, and generating a caching strategy basic instance bound with a service method; then, flow indexes such as the query rate per second, the cache hit rate, the data updating frequency and the response delay are collected in real time by means of a dynamic flow sensing module, a fluctuation coefficient is determined through a sliding time window algorithm, and flow changes are sensed in real time; when the fluctuation coefficient is greater than a preset threshold value, dynamically updating the cache strategy among inert updating, active preloading and expired data permitting strategies according to a preset rule, and associating the current instance; and finally, on the basis of the current instance of the cache strategy, utilizing a distributed lock coordination mechanism to guarantee the atomicity of cache updating operation. According to the process, the database pressure caused by premature failure of the cache in the peak period and the resource waste in the valley period are reduced through dynamic adjustment of the cache strategy and distributed coordination, so that the resource utilization rate can be remarkably improved.

This invention proposes an automatic screening and aggregation method for ground fault waveform recordings in distribution networks based on a sliding time window, comprising the following steps: Step S1, the master station performs waveform recall on all terminals in the network topology where a ground fault occurs; Step S2, calculate the waveform density within the sliding time window; Step S3, use the data closest to the time reference point for each terminal as the initial aggregation object; Step S4, initially aggregate the data; Step S5, find the zero-sequence voltage of the terminal with the largest zero-sequence current as the reference voltage; Step S6, calculate the similarity between the zero-sequence voltage and the reference voltage waveforms of all other terminals; Step S7, waveforms with significant similarity are used as the dataset for the same fault. This invention can effectively eliminate waveform data with incomplete or erroneous fault information, aggregate all waveform recordings under the same fault event, avoid waveform confusion from multiple fault events interfering with fault location, and significantly improve the accuracy of centralized analysis of single-phase ground faults in distribution networks.

The invention discloses a visitor flow rate management method, system and device and a storage medium, and relates to the technical field of communication, and the method comprises the steps: collecting a control plane signaling flow between a core network of a 5G private network and a base station in a sliding time window through responding to the updating of the sliding time window; extracting real-time signaling behavior characteristics of a user according to the control plane signaling flow; the deviation between the real-time signaling behavior characteristics of the user and a behavior baseline is calculated, and people flow abnormity is identified according to the deviation; the behavior baseline is dynamically updated according to historical signaling behavior characteristics of the user. By adopting the embodiment of the invention, the abnormal people flow can be identified with low time delay and high reliability by utilizing the localized signaling closed-loop characteristic of the 5G private network.

The application discloses a world time continuous solution method, comprising: obtaining and preprocessing the solution result files of each session in a predetermined time range; applying uniform constraints to each session after preprocessing, and performing parameter blocking and local parameter elimination; constructing a sliding time window in a target time range, parameterizing the world time by using a segmented linear function in the window, and establishing a session and time node mapping relationship; constructing a sliding time window on a global time axis, collecting sessions in the window, superimposing a session weight equation, adding a time node smoothing constraint, and jointly solving the world time residual increment; superimposing a priori on the joint solution result, recovering a tidal term, and generating a world time continuous sequence. The application solves the problems of the existing world time product, such as limited time resolution based on daily parameter level combination, insufficient utilization of session level observation geometry and equation information, sensitivity to modeling differences of different session types, and difficulty in adapting to the existing reference framework.

The present application relates to the field of material handling technology, and in particular to an intelligent stacking method and system. The method comprises the following steps: obtaining the top features of the stack; obtaining the outline features of the stack; creating a first sliding time window, the first sliding time window containing the top features of the stack and the outline features of the stack after a plurality of consecutive stacking operations to form a first feature matrix; inputting the first feature matrix into a dynamic weight calculation module to output a fusion weight; creating a second sliding time window, the second sliding time window containing the top features of the stack and the outline features of the stack after a plurality of consecutive stacking operations, performing weighted fusion according to the aforementioned fusion weight to form a second feature matrix; inputting the second feature matrix into a position compensation calculation module to calculate the position compensation amount of the current carton group unit when it is placed. The present application can better stack cartons.

An interface fusing method, an interface fusing device and a computer-readable storage medium. The interface fusing method comprises: on the basis of fusing configuration parameters and a current state of a circuit breaker, determining whether a target method meets a calling condition or not; determining whether the target method has been successfully called or not; if yes, executing a pre-configured fusing rule on the basis of meta-information of the target method; if an execution result of the fusing rule is true, counting the number of callings and the number of calling errors; if the calling of the target method fails, on the basis of the number of callings and the number of calling errors in a preset sliding time window, in combination with the fusing configuration parameters, determining whether to perform fusing processing on the target method or not; and if yes, performing fusing processing on the target method.

The invention belongs to the technical field of advertisement insertion methods, and relates to a dynamic bottom-keeping advertisement hole insertion method based on a sliding window, which comprises the following steps of: dividing a time axis into basic windows with fixed lengths through the definition of a sliding time window, and setting a decision sliding window to cover current and future windows; the flow quality and the user state are sensed by collecting and analyzing user requests and behavior data in real time; the priorities and the insertion feasibility scores of the candidate advertisements are comprehensively considered, an insertion threshold value is dynamically adjusted in combination with real-time flow and a user state, and the optimal advertisement is selected for insertion on the premise that the user experience is not affected; and finally, the guarantee completion progress is monitored in real time through a dynamic compensation mechanism, future window quotas are borrowed and repayment is preferentially performed, and a future advertisement insertion strategy is optimized according to an advertisement effect and user feedback, so that the advertisement insertion efficiency is improved under the environment of flow fluctuation and variable user behaviors. And the advertisement insertion precision, the minimum interference of the user experience and the maximization of the advertisement effect are realized.

The present invention discloses a current limiting processing method, system, device and medium based on a sliding event window, which belongs to the field of data processing technology. The technical problem to be solved by the present invention is how to reduce repeated processing of requests and improve system performance. The technical solution adopted is: unit window division: dividing a sliding time window into multiple sliding unit windows, each sliding unit window corresponds to a coordinate position of a time wheel; positioning the current sliding unit window: locating the number and coordinates of the time wheel corresponding to the current request; updating the sliding unit window information: updating the sliding unit window information according to the current request and the corresponding number of time wheels; judging whether to limit the current: counting the relationship between the total number of requests of all sliding unit windows and the set threshold to determine whether to limit the current.

The embodiment of the invention provides an abnormal time node determination method and device, and the method comprises the steps: determining a first time window based on a current time node and the width of a sliding time window, and enabling the first time window to comprise a plurality of time nodes including the current time node; obtaining standard data and monitoring data in the first time window, and generating a dynamic threshold based on the standard data in the first time window; and determining that the current time node is an abnormal time node under the condition that the monitoring data in the first time window and the dynamic threshold meet an abnormal judgment condition.

The present invention discloses a method, device, equipment, and storage medium for determining whether a relay is frequently engaged. The method comprises: obtaining relay status parameters in real time, determining an adjustment factor based on the relay status parameters, and determining a sliding time window based on the adjustment factor; within the sliding time window, determining whether the number of times the relay is engaged is greater than a set threshold; if so, generating a relay frequent engagement alarm instruction. In the method for determining whether a relay is frequently engaged, the sliding time window can be dynamically adjusted based on the relay status parameters obtained in real time. Based on the dynamically determined sliding time window, when the use status of the relay changes, it is still possible to accurately determine whether the relay has a frequent engagement fault, thereby improving the safety and reliability of the system configured with the relay.

The invention discloses an atomic clock control method, device and equipment, a storage medium and a computer product, and relates to the technical field of atomic clock control, and the method comprises the steps: determining an operation temperature sequence of an atomic clock in a slidable time window and an atomic clock type when the atomic clock is in a holding stage; calling a corresponding punctuality model based on the atomic clock type and the temperature interval in which the operating temperature sequence in the slidable time window is located; inputting the operating temperature sequence in the slidable time window into the timekeeping model to obtain a predictive control word of the atomic clock in the next time step of the last time step in the slidable time window; and performing frequency correction on the atomic clock based on the predictive control word. The timekeeping precision of the atomic clock in the keeping stage is improved.