23results about How to "Avoid data redundancy" patented technology

The invention relates to the technical field of network optimization, in particular to a network data management system based on intelligent flow control, which comprises a flow partitioning and sample extracting module, a flow partitioning and sample extracting module, a flow partitioning and sample extracting module, a flow partitioning and sample extracting module and a flow partitioning and sample extracting module, and generating a load feature sample set according to the screening result. In the invention, through extraction of the time sequence information and division of the sub-traffic segments, the network traffic data is subjected to packet management, and the loads of the source node and the target node are accurately marked and screened, so that more accurate load characteristic data is generated, and unnecessary data redundancy is avoided. In the calculation of the load weighted value, the prediction precision of the data flow load is further improved by combining the dynamic priority weight and the multi-dimensional weight mechanism of the flow variable quantity, so that the trend change in the subsequent time slice can be estimated more scientifically.

The invention relates to the technical field of greening management, in particular to an urban greening state monitoring method and system based on digital mirror image information, and the method comprises the steps: collecting the real-time live-action data of a designated city, combining the real-time operation rule of the city, and generating a virtual city update mirror image through a digital twinborn technology; extracting digital mirror image information in a specified time period from the virtual city updated mirror image to obtain greening state mirror image data, and generating a virtual city greening state by analyzing the mirror image data; further detecting the greening state of the virtual city, generating greening state early warning information, and feeding back the greening state early warning information to the real city to determine a monitoring area and a monitoring index; and performing live-action monitoring on the designated area of the real city, collecting and analyzing monitoring data to obtain an actual monitoring result of the alarm area, and synchronizing the actual monitoring result to the virtual city update mirror image. Dynamic monitoring and bidirectional feedback of the greening state are realized, and technical support is provided for fine management and scientific decision-making of urban greening.

The invention relates to the technical field of data processing, in particular to a high-pressure water pump real-time data analysis method based on edge computing, which allows dynamic adjustment of operating parameters of a high-pressure water pump through real-time communication between edge computing equipment and the high-pressure water pump, distributes data processing tasks to the edge equipment, and improves data processing efficiency. The data transmission time is shortened, the processing efficiency is improved, it is ensured that data can be analyzed and fed back in time, the processing efficiency is improved, and the working efficiency of the high-pressure water pump is optimized.

The invention discloses an application server monitoring method, system and device based on event triggering and a medium, and the method comprises the steps: monitoring the state data of a plurality of application servers in real time; the state data is obtained based on a preset monitoring index; monitoring abnormal events of the plurality of application servers according to the state data; marking an application server corresponding to the abnormal event as a potential fault application server, and collecting operation data of the potential fault application server; and analyzing and diagnosing the operation data through a preset analysis algorithm to obtain a solution and a diagnosis result of the potential fault application server. Thus, in combination with a monitoring mechanism triggered by an event, collection and diagnosis are triggered only when an abnormal event occurs, rapid response to the abnormal event is realized, problems are rapidly analyzed, a solution is provided, the problems of data redundancy and untimely response caused by frequent timing polling are avoided, and the accuracy of data processing is improved. The application server can be monitored and diagnosed efficiently in real time.

The application discloses a fire-fighting early warning monitoring device for a smart park, and relates to the technical field of fire-fighting monitoring.The fire-fighting early warning monitoring device comprises a upper shell and a lower shell which cooperate with each other; further comprises a driving structure A connected with the upper shell and driving the upper shell to rotate along the lower shell, and a driving structure B used for driving the lower shell to move up and down along the vertical direction; the end of the upper shell is provided with two ventilation holes which are centrally symmetric; a smoke sensor is installed in the lower shell, and a temperature sensor is arranged on the top of the upper shell.The smoke sensor is arranged between the upper shell and the lower shell, so that when the smoke sensor needs to be used, the upper shell and the lower shell are controlled to move to realize the contact between the smoke sensor and external air, thereby avoiding the problem that the surface of the smoke sensor is attached with dust due to the fact that the smoke sensor is long-term placed in air with dust, and the problem that the sensitivity of the existing smoke sensor is affected is solved.

The present invention discloses a data mining method and system based on self-learning, which collects time series image data of different fresh products at various freshness stages, extracts static features and dynamic features from them, and defines labels by analyzing these features, which associate static features with dynamic features to form a comprehensive description; according to the changing rules of dynamic features, products with similar change patterns are classified into the same similarity group; on this basis, the self-learning mining model is trained using these labels and similarity group data, focusing on improving the recognition ability of similar group products; the mining results are fed back to the dynamic spatiotemporal graph of the system to update the node attributes in the graph, thereby continuously optimizing the recognition algorithm. The present invention can not only effectively overcome the recognition difficulties caused by the change of dynamic features, but also provide a stable recognition benchmark through static features, thereby significantly improving the accuracy and reliability of fresh product recognition at different freshness levels.

The application discloses a kind of gas pollution source detection traceability system, it is related to gas pollution source instantaneous discharge traceability detection technical field;The present application determines target position by extracting the abnormal position in traceability signal, determines the detection route with target position as starting point, matches unmanned aerial vehicle for each route to collect pollutant concentration and collect environmental data, then the compensation amount is corrected pollutant concentration by matching collected environmental data, concentration distribution map is constructed and diffusion main shaft and diffusion time are determined, and the distance of emission source is calculated to lock the suspected position, finally, the real pollution source is obtained by verifying the suspected source through CFD model;In the technical scheme, the pollution area can be covered without dead angle by multi-unmanned aerial vehicle and other angle partition detection, and the concentration data is ensured to be complete and continuous;CFD model verification greatly improves the positioning accuracy of pollution source, shortens the response time of traceability in the instantaneous discharge scene, reduces the positioning error, provides key technical support for rapid disposal of leakage and reduction of pollution diffusion.

The invention relates to the technical field of crystallization equipment intelligent control systems, in particular to a prilocaine crystallization equipment intelligent control system and method.The system comprises a data acquisition layer, a data interaction layer and an application layer, and the data interaction layer comprises a shared database, an intelligent data interaction system and a function module; wherein the shared database is used for storing and managing collected process data and control instructions; the intelligent data interaction system comprises a data acquisition module, a data processing module and an expert system calling module, and the expert system calling module is responsible for decision analysis; the function module comprises a prilocaine crystallization process module, an evaluation criterion module and a comprehensive evaluation method module and is used for providing crystallization process knowledge, evaluation indexes and an optimization method; the whole efficiency and the product quality of the prilocaine crystallization process are remarkably improved, and the method is suitable for large-scale industrial production and can flexibly meet the production requirements of small batches and multiple varieties.

The present invention discloses a command collection method, device and intelligent device, wherein the method is applied to an intelligent device, the intelligent device has multiple built-in command specifications, the command specifications are used to characterize the functions supported by the intelligent device, and the method comprises: displaying the current command specification to a user; receiving a command description input by the user according to the current command specification; comparing the command description with the semantics specified in the current command specification, and if the command description matches the semantics specified in the current command specification, storing the command description in a command data set corresponding to the current command specification. The technical solution provided by the present invention realizes the function of accurately collecting intelligent device commands with the same semantics but different expressions.

The invention provides a substrate glass defect detection method and device, and relates to the technical field of glass detection. The method comprises the following steps: S1, acquiring a first image of to-be-detected substrate glass by a line scanning imaging mechanism, wherein the first image is an integral image comprising an edge area and a middle area of the to-be-detected substrate glass; s2, the detection module identifies a defect area of the to-be-detected substrate glass based on the first image, and performs defect coordinate marking on the defect area; s3, according to the defect coordinates, triggering an area array imaging mechanism to carry out n-time magnification imaging on the defect area to form a second image; s4, the processing module performs defect type classification on the defect area based on the second image; and S5, performing grade judgment on the to-be-detected substrate glass based on the detection result of the to-be-detected substrate glass.

The invention discloses a link tracking sampling rate adjusting method and device, relates to the technical field of cloud computing and can also be used in the financial field, and the method comprises the following steps: obtaining tracking index data including a tracking sampling rate and index data of a JAVA virtual machine; extracting host name and service name information based on the index data of the JAVA virtual machine; and adjusting the tracking sampling rate corresponding to the corresponding service of the corresponding host based on the index data of the JAVA virtual machine, the tracking sampling rate, the host name and the service name information. Therefore, automatic real-time adjustment of the link tracking sampling rate of the specific service on the specific host is realized, manual intervention is not needed, the labor cost is reduced, and the problem of data redundancy caused by improper setting of the sampling rate is avoided.

The embodiments of the present application provide a method, device, electronic device and computer storage medium for determining the layout of a venue. The method for determining the layout of a venue includes: obtaining request information sent by a client, the request information carrying information of a performance session requesting to use a set venue for a performance and venue information corresponding to the set venue; determining a corresponding venue template according to the venue information, and generating a session template according to the information of the venue template and the information of the performance session, wherein the venue template contains information of the physical layout of the set venue; establishing a reference association relationship between the session template and a read-only template corresponding to the venue template, and sending the session template to the client, so that the client obtains a read-only template having a reference association relationship with the session template, and determines the information of the physical layout of the set venue used for the performance session according to the obtained read-only template.

The application provides a PLC device alias identification and online authorization method and system. A device alias mapping network is constructed based on a red-black tree to record original PLC devices and corresponding original model information. The system generates an authentication code according to the original model information of the customized device. A user inputs the authentication code and obtains a user PLC device customized model. The original PLC device is upgraded to the customized model by using a firmware upgrade tool. A server randomly generates a salt value. The PLC device performs MD5 encryption on the randomly generated salt value and a unique identifier. The encryption result is used as a complete salt. The PLC device model and manufacturer information are MD5 encrypted as an authentication password. The verification information is AES encrypted. The encrypted verification value is compared and verified. If the verification information is consistent, the authorization is passed. The application can quickly release new device models, reduce operation and maintenance costs, and reduce the waiting time for repeated packaging tests.

The present disclosure relates to the field of communication technology, and provides a rail transit vehicle-mounted wireless fusion communication terminal network system dynamic switching method and device. The method comprises collecting Trace information of the terminal, collecting performance information, operating parameter information and fault information of each network system, generating available level 11 set and 21 set based on communication quality and network performance information respectively; generating network system 1 set and 2 set allowed to access based on network topology and fault information; generating target access network set based on the intersection of available level 11 set and 21 set, and network system 1 set and 2 set allowed to access; determining that the target access network set is different from the terminal historical access network set, sending the target access network set to the terminal through a switching instruction, and the terminal processes the target access network set, and performs new connection and disconnection processing. The method combines multiple information to make a switching decision, and can improve the correctness and reliability of switching.

The invention provides a user tag storage method, a storage medium, a program product and a bank system. A target system comprises a plurality of nodes with a hierarchical relationship, each node corresponds to a plurality of user tags, and the method comprises the steps that the tag number of all nodes in an ancestor chain of each bottom layer node is determined according to the mapping relationship between the nodes and the number of the user tags and the hierarchical relationship, and the bottom layer node is the node located at the bottommost layer in the hierarchical relationship; and storing the user tags corresponding to the ancestor chains into at least one storage structure according to the tag quantity corresponding to each ancestor chain and a preset threshold, so that the total quantity of the user tags stored in each storage structure is smaller than or equal to the preset threshold. The problem that the service performance is reduced due to the storage mode of the current user tag is solved, and the service performance is effectively improved.

This disclosure relates to the field of data processing technology, specifically to data acquisition methods, data display methods, data reporting methods, and apparatus. The data acquisition method applied to a server includes: determining the current network level based on the network conditions between the server and the mobile device; determining the current sampling rate corresponding to the current network level based on a preset correspondence between network levels and sampling rates; sending a sampling rate command to the industrial control computer (ICC) based on the connection with the ICC and the current sampling rate to control the ICC to acquire data based on the current sampling rate; receiving data reported by the ICC; and sending the data to the mobile device for display. This method enables the data acquisition frequency to adapt to the network conditions between the server and the mobile device, thereby effectively avoiding data redundancy or packet loss, ensuring the integrity and efficiency of data transmission, and thus improving the reliability of data display on the mobile device.

This invention relates to the field of data acquisition technology, and discloses a data acquisition method, apparatus, device, and storage medium. The method includes: acquiring a road edge deviation scene type; determining whether a corresponding start data recording trigger condition is met based on the road edge deviation scene type; and when the corresponding start data recording trigger condition is met, receiving a start recording signal and recording data for the corresponding road edge deviation scene based on the start recording signal. This invention solves the problems of low efficiency and limited scene data content in road edge deviation scene data acquisition due to the need for manual judgment and filtering, by determining whether a corresponding start data recording trigger condition is met based on the road edge deviation scene type, and recording data for the corresponding road edge deviation scene based on the start recording signal when the condition is met. This achieves accurate acquisition and avoids data redundancy.

This invention relates to the technical field of customer demand response management, and provides a method and system for collaborative response to customer demands. The method includes: receiving and storing resource reservation declarations submitted by processing units to obtain resource pre-occupancy information of the processing units; monitoring and recording the dwell time of customer demands in the processing stage; when the dwell time exceeds a preset threshold, querying the resource reservation declarations to determine whether corresponding resource pre-occupancy information exists in the processing stage, and obtaining a resource pre-occupancy judgment result; if the resource pre-occupancy judgment result indicates existence, updating the status of the customer demand to a specific status indicating the reason for resource pre-occupancy; when the customer demand is in the specific status indicating the reason for resource pre-occupancy, suppressing the triggering of preset downstream processes, thereby realizing the identification and handling of process anomalies in collaborative response to customer demands. This invention has the advantage of improving the accuracy and efficiency of process anomaly handling.

The invention belongs to the technical field of data monitoring and correction, and particularly discloses an evaporation data monitoring and correction method fusing multiple detection conditions, which comprises the following steps: constructing a monitoring process, and connecting an input node and an output node by setting n judgment nodes; setting a judgment threshold value on each judgment node, judging the detection working condition of the generated evaporation data according to the judgment threshold values, and labeling the evaporation data according to the detection working condition; inputting evaporation data obtained by taking a first time period as a unit at the input node; correcting the evaporation data for m times according to the label; outputting the evaporation data as a correction result at the output node by taking the first time period as a unit until the evaporation data reaches the output node; the method has the advantages that evaporation data are corrected step by step through multiple judgment nodes, labeling is accurately corrected, data accuracy is improved, manual intervention is reduced through automatic processing, and data uniqueness and reliability are ensured.

This invention belongs to the field of groundwater pollution monitoring and numerical simulation technology, and relates to a method for analyzing the layout of groundwater pollution monitoring wells. The invention constructs and calibrates a groundwater flow and solute transport model to quantify the predicted variance of the pollution plume boundary location; solves the adjoint state equation to obtain the sensitivity distribution, calculates the reduction in predicted variance caused by adding monitoring wells, and generates a spatiotemporal variance reduction distribution field; extracts grids with local maxima of the reduction and no existing monitoring points as high-value blind spots, inserts virtual monitoring points, and locally refines the simulation to update the state; incorporates virtual monitoring values ​​and simulated values ​​into the dataset and iterates until variance convergence; outputs the cumulative virtual monitoring point locations and time series as a scheme. This invention solves the problems of traditional layout relying on deterministic concentration fields and lacking dynamic adaptive adjustment, achieving quantified uncertainty-driven prediction and efficient optimization, reducing layout bias and data redundancy, and improving detection efficiency.

According to the method, a wind power plant space layout, a power transmission line topological structure and equipment surrounding environment dynamic information are integrated, and a wind power plant three-dimensional digital atlas is constructed; the management unit is used for carrying out multi-dimensional intelligent partitioning on the wind power plant on the basis of a vegetation dynamic change rule in the three-dimensional digital atlas and an equipment space topological relation, and dividing different risk levels and routing inspection priorities; and configuring an optimal multispectral camera waveband combination and inspection target parameters for each partition according to an inspection partition result, and establishing a partition-camera-target mapping configuration table. According to the invention, the wind power plant is divided into management units with different risk levels and routing inspection priorities, and the three-bit character partition codes are given, so that routing inspection resources can be accurately put according to regional risk characteristics, the problems of poor pertinence and low efficiency of a traditional unified routing inspection strategy are solved, and the routing inspection efficiency is improved. And the monitoring frequency and precision of the high-risk area are obviously improved.

The present invention relates to the field of computer device control technology, and provides a decompression method based on multiple data compression algorithms, including: encapsulating multiple data compression algorithm types; setting compression query interfaces and decompression interfaces corresponding to the compression algorithm types; encapsulating multiple data compression algorithms so that the compression query interfaces correspond to the compression algorithms; encapsulating decompression algorithms so that the compression algorithm decompression interfaces correspond to the decompression algorithms; setting an association algorithm model so that the compression algorithms correspond to the decompression algorithms, and realizing the decompression operation of data compressed by any compression algorithm.

The invention provides a charging communication management system and a charging communication management method.The charging communication management system comprises a battery manager and a plurality of communication controllers, all the communication controllers are in a message monitoring state, the battery manager only communicates with one of the main communication controllers, and the communication controllers are in a message monitoring state. While normal data interaction in the charging process is ensured, the communication program is simplified, and the communication efficiency is improved. Meanwhile, the charging communication management method provided by the invention is realized based on the charging communication management system, the steps are simple, the communication efficiency is improved, and a better charging effect is realized.