62results about How to "Improve statistical efficiency" patented technology

The invention discloses a memory topology index system for power grid data, which relates to the technical field of power grids and comprises a central processing unit module, a login module, a storage module, a storage module, a query response module, a coding module, an index management module and a generation module. The central processor module is bidirectionally connected with the login module, the warehousing module, the storage module, the query response module, the index management module and the generation module; the storage module and the coding module are in bidirectional connection, and the output end of the generation module is connected with the input end of the coding module. According to the method, the metadata extraction process for the to-be-stored power grid data is introduced, multiple types of metadata are extracted on the basis of the process for abstract description of related information of the to-be-stored power grid data, and good compatibility of various data assets is achieved.

The invention belongs to the technical field of medical treatment and health information, and provides a CKD high-risk factor screening system based on big data, CKD medical record information of a plurality of CKD patients in a historical period is extracted from a hospital system through an ETL technology and is analyzed to obtain high-frequency factors, analysis is carried out based on the high-frequency factors to obtain a primary screening high-risk factor table, and the primary screening high-risk factor table is used for screening the CKD high-risk factors. Performing analysis processing on the primary screening high-risk factor tables in the plurality of continuous historical periods, analyzing ranking changes of the high-frequency factors in the plurality of primary screening high-risk factor tables and occurrence frequencies of the high-frequency factors in the plurality of continuous historical periods, and further screening the high-frequency factors to obtain sensitive factors; and the sensitive factors are summarized to obtain a sensitive high-risk factor table, so that CKD patient factors are screened layer by layer, high-risk screening conditions are determined, tracking and comparison of patients in the whole hospital can be realized according to medical record information of the patients in the hospital, and the statistical efficiency of the CKD patients is improved.

The invention relates to a data processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: when a calculation task corresponding to a statistical time window obtains target data, obtaining aggregation data corresponding to an object identifier from an aggregation index data table based on the object identifier corresponding to the target data, the aggregated data comprises water level data corresponding to the calculation task, an aggregated index value and a consumed data set corresponding to the calculation task; determining the validity of the target data according to the water level line data and the consumed data set; and under the condition that the target data is valid, executing the calculation task based on the aggregation index value and the target data, and updating the aggregation index value in the aggregation index data table according to a calculation result. By adopting the method, the statistical efficiency and the real-time performance of the aggregation indexes can be improved.

The invention provides a code test coverage rate detection method and device, electronic equipment and a storage medium, and relates to the technical field of code test coverage rate monitoring, and the method comprises the steps: obtaining project code information of a target project; acquiring pipeline information of the target project based on the project code information of the target project, wherein the pipeline information comprises a test environment address; based on a preset probe, obtaining all test environment operation logs of each branch code in the target project through the test environment address; aiming at each branch code, traversing each row of log information in each test environment running log, executing preset transformation on each row of log information to obtain an identification code corresponding to each row of log information, and executing merging operation on the log information in each test environment running log based on all the obtained identification codes, and obtaining test coverage information of the current branch code based on the merging operation result. The statistical efficiency and accuracy of the code test coverage rate are effectively improved.

The invention relates to the technical field of block chains, in particular to a data processing method and device, electronic equipment and a storage medium, which are used for ensuring authenticity and accuracy of economic condition information of an object and improving information statistical efficiency. The method comprises the following steps: receiving initial transaction data sent by a first object, uploading the initial transaction data in a first block chain, obtaining to-be-verified transaction data, sending the to-be-verified transaction data to a second object, receiving transaction verification information returned by the second object, and associating a digital signature based on the transaction verification information, and when it is determined that the to-be-verified transaction data passes verification, the comprehensive statistical information of the first object is updated based on the to-be-verified transaction data. The comprehensive statistical information of the object is updated after the to-be-verified transaction data passes verification, so that the transaction data of the object can be prevented from being tampered, the economic condition information of the object is truthfully reflected through the comprehensive statistical information, the authenticity and accuracy of the economic condition information are ensured, and the information statistical efficiency is improved.

The present invention discloses a cross-border e-commerce economic and trade data management device, comprising: a control console, an outer wall of the control console is fixedly installed with an assembly base plate, the interior of the control console contains an object scanning mechanism, the top of the assembly base plate is fixedly installed with a material conveying mechanism, the object scanning mechanism includes an internal connection groove, a mounting hole A is opened on the top of the control console, a connecting sleeve A is fixedly installed on the inner wall of the mounting hole A, and infrared light waves emitted from a transmitting panel can be used to quickly scan commodities passing through the bottom, and the types of commodities and the number of similar commodities can be determined. When the acquired data is transmitted to a central control module, the central control module will retrieve the order information stored in the alarm module and compare it with the commodity information. At this time, when the quantity of a certain commodity reaches the order requirement, a signal will be transmitted to the storage module to start an alarm command, which will eventually be executed by a prompt light and a loudspeaker.

The utility model discloses a device for counting self-healing points of capacitor cores, which comprises a working table, at least two connecting rollers are arranged on the working table, are arranged at intervals and are used for winding core films, and the at least two connecting rollers are rotatably mounted on the working table; the at least two connecting rollers are used for guiding the core film to be wound during rotation; a detection interval for guiding the core film to be in a horizontal unfolding state is formed between the two connecting rollers; the first driving assembly is connected with the at least one connecting roller so as to drive the at least one connecting roller to rotate; the light-emitting component is used for emitting light to the detection interval; and the image acquisition assembly is used for acquiring an image of the core film of the detection interval. The core film image of the detection interval is acquired through the image acquisition assembly to record and count the self-healing points on the surface of the core film, so that the time for manually counting the self-healing points is effectively shortened, and the counting efficiency of the self-healing points is improved.

The present invention discloses a method, system, device and storage medium for reporting information changes, the method comprising: dividing objects in a cluster into multiple levels according to the scope from large to small, monitoring each level and judging whether there is a level-generated resource configuration information change; in response to the existence of a level-generated resource configuration information change, determining the impact range according to the resource configuration information change, and determining the minimized level set to be reported according to the impact range; determining the reported dictionary data according to the minimized level set, and reporting the configuration information of the minimized level set based on the dictionary data; and parsing the reported configuration information, and persisting the parsed configuration information in a database. The present invention can perform minimized configuration information collection work for a cluster according to the user's operation, greatly reducing the workload of cluster configuration information statistics and improving the efficiency of cluster configuration information statistics.

The invention discloses a postoperative intracranial pneumatosis segmentation method, device and equipment, a storage medium and a program product, and the method comprises the steps: obtaining image data of the brain of a patient, the image data at least comprising a postoperative computed tomography CT image and a preoperative nuclear magnetic resonance MR image; establishing a registration relation between a computed tomography CT image and a nuclear magnetic resonance MR image; determining a first CT area lower than a preset density threshold value from a computed tomography CT image; according to the registration relationship, determining a first MR region in a nuclear magnetic resonance MR image corresponding to the first CT region; and according to the first MR region, generating an intracranial pneumatosis segmentation file of the patient. According to the method, the ventricular cranial boundary can be accurately segmented, the intracranial pneumatosis volume of the patient can be accurately counted, and the statistical and analysis efficiency of the postoperative intracranial pneumatosis of the patient is improved.

The invention provides a data statistical method, device and equipment based on front-end burying points and a medium, and relates to the field of data processing. According to the method, the front-end target event is automatically monitored through the preset event processor, so that the workload of manual coding is reduced, and the labor cost is reduced. And when the target event meets the preset screening condition, the burying point data packet is automatically constructed, so that the problems of missing burying, mistaken burying and re-burying caused by human factors are avoided, and the accuracy of the data is improved. The preset reporting mode ensures that the burying point data can be quickly reported to the server, manual intervention is not needed, and the real-time performance of the data is remarkably improved. Therefore, the development and maintenance cost of front-end buried point data statistics is reduced, the data processing speed and accuracy are improved, and the statistical efficiency of the front-end buried point data is improved.

The invention provides a seismic oscillation intensity parameter prediction method considering a complex terrain effect, and belongs to the technical field of seismic engineering. According to the method, terrain data such as elevation, gradient and curvature are introduced, a comprehensive terrain effect coefficient formula is constructed, an existing seismic oscillation prediction equation is corrected, the amplification effect of the terrain on seismic oscillation is comprehensively considered, and seismic oscillation intensity parameters of a complex terrain area can be predicted more accurately.

The present invention provides a detection device, comprising: a base; a guide portion, which is arranged on the base and includes an upstream end and a downstream end; a clamping portion, which is movably connected to the guide portion and is suitable for clamping and placing filter materials and moving from the upstream end toward the downstream end; a detection portion, which is arranged adjacent to the guide portion and includes at least a first detection structure and a second detection structure, at least one of which is a non-destructive detection structure and is arranged corresponding to the upstream end of the guide portion. This arrangement, on the one hand, realizes the automation of multiple detections of filter materials, outputs all detection results from a detection device at one time, improves the statistical efficiency of filter material detection data, and saves labor costs. On the other hand, the non-destructive detection structure is arranged in the upstream section of the guide portion, so that the filter material is first subjected to non-destructive detection, avoiding the influence of filter material damage on subsequent detection results, and improving the effectiveness and accuracy of the detection device.

The present invention relates to the field of financial technology, and discloses a data processing method, device, equipment and storage medium, wherein the data processing method comprises: obtaining the binning quantile of each feature bin, grouping the feature data blocks of each feature bin according to the binning quantile to generate a correspondence between each feature bin and the feature data blocks of each feature bin; if a binning adjustment instruction is detected, determining the bin to be adjusted from each feature bin, and the feature data blocks to be adjusted of the bin to be adjusted according to the binning adjustment instruction and the corresponding relationship; performing adjustment processing on the bin to be adjusted and the feature data blocks to be adjusted, and outputting the adjustment processing result. The present invention solves the technical problem that the traditional binning data adjustment method has low data processing efficiency due to untimely data response when facing massive data.

The invention relates to a fully mechanized coal face hydraulic support pressure data-based support motion feature classification method, and belongs to the field of fully mechanized coal face coal cutting feature classification. According to the method, original pressure data are smoothed through wavelet denoising, and the data are divided into three stages of initial supporting, working and unloading by using a change point detection technology. Then, extracting features such as an average value, a standard deviation and entropy of each stage, performing unsupervised learning by using a Gaussian mixture model, and classifying each stage into a primary supporting stage, a working stage or an unloading stage; according to the method, a large amount of manual marking training data is not needed, high-precision support motion state information can be provided under complex and changeable underground conditions, abnormal conditions can be found in time, safety accidents are prevented, the number of coal cutting circulation times is automatically counted, the working mode of the hydraulic support is optimized, and the production efficiency is improved.

The invention provides a flow control method and device, equipment, a storage medium and a product. The method comprises the steps of obtaining a first linked list and a second linked list; nodes in the first linked list comprise a flow count counted by a first time window and a first timestamp, nodes in the second linked list comprise a flow count counted by a second time window and a second timestamp, and the first time window is larger than the second time window; determining at least one first node from the first linked list, and determining at least one second node from the second linked list; a first timestamp included in the first node is in a first time period, and a second timestamp included in the second node is in a second time period; and performing flow control according to the flow count included in the first node and the flow count included in the second node. According to the method and the device, the flow count and the timestamp information can be stored through the chain table which performs statistics by using two different time windows, so that the efficiency and the accuracy of flow control can be improved.

The present application relates to the field of automatic statistical data, and in particular to a data automatic statistical system and method based on CAD drawing, which includes a program loading subsystem and a statistical application subsystem, wherein the program loading subsystem is used to load a data statistical program in the CAD software, and the statistical application subsystem is used to perform statistics on data based on the loaded data statistical program, wherein the statistical application subsystem includes: a data update module, which is used to update the application data in the CAD software in real time; a data encoding module, which is used to encode each application data in the CAD software; a mode setting module, which is used to customize the statistical mode of the application data in the CAD software; a data sharing module, which is used to share the application data in the CAD software based on the set statistical mode; a transmission interface module, which is used to transmit the shared application data; and a data statistics module, which is used to count the transmitted application data. The present application has the effect of improving the efficiency of data statistics.

This invention provides a method and apparatus for statistical analysis of end-devices in electromechanical system models based on natural language, relating to the field of electromechanical system data processing technology. The method includes acquiring a BIM model of the electromechanical system; receiving and semantically parsing user-input natural language statistical commands to obtain the target system type, the range of initial object selection, and the statistical conditions for end-devices; determining the starting object constraint parameters based on the target system type and preset business rules, and selecting starting objects that meet these parameters; recursively searching connected components in the BIM model based on connectivity relationships, terminating the search when an end-device or duplicate component is found, thus obtaining a candidate component set; selecting components that meet the statistical conditions for end-devices to obtain the target end-devices; and outputting statistical results based on the selected target end-devices. This invention improves the efficiency and accuracy of end-device statistics in electromechanical system models.

The present invention discloses a method, device, equipment, storage medium and program product for segmenting postoperative intracranial pneuma. The method comprises: acquiring image data of a patient's cranial brain, the image data at least comprising a postoperative computed tomography CT image and a preoperative nuclear magnetic resonance MR image; establishing a registration relationship between the computed tomography CT image and the nuclear magnetic resonance MR image; determining a first CT region below a preset density threshold from the computed tomography CT image; determining a first MR region in the nuclear magnetic resonance MR image corresponding to the first CT region according to the registration relationship; and generating a patient's intracranial pneuma segmentation file according to the first MR region. The method can accurately segment the pneumocranial boundary, accurately count the volume of the patient's intracranial pneuma, and improve the efficiency of statistics and analysis of the patient's postoperative intracranial pneuma.

The invention relates to a log data statistical method and device, a medium and electronic equipment. Relates to the field of data processing. The method comprises the steps of obtaining a plurality of logs to be counted, wherein each log to be counted comprises time information, a process number, a thread number and a log level; and according to at least one of the time information, the process number, the thread number and the log level, outputting a data statistical result of the plurality of logs to be counted. One or more of the time information, the process number, the thread number and the log level can be flexibly combined to serve as a statistical target of the to-be-counted log data for a large batch of to-be-counted logs, and the statistical target is consistent with a log data type expected by a user. Therefore, the data statistical results of the logs to be counted can be reliably, flexibly and rapidly output, the statistical efficiency is improved, manpower is saved, the statistical method is more intelligent and better in flexibility, and a user can conveniently take corresponding measures in time according to the statistical results.

The invention provides an intelligent power and environment resource census method and device, electronic equipment and a storage medium, and relates to the technical field of communication network equipment management, and the method comprises the steps: recognizing an equipment image based on a preset large model, and obtaining the equipment information of target power and environment equipment; identifying the terminal panel image based on a preset large model to obtain terminal state information of each terminal of the target moving ring equipment; identifying the capacity identification image based on a preset large model to obtain terminal capacity information of each terminal; and associating the equipment information, the terminal state information and the terminal capacity information of the target moving ring equipment to generate resource census information of the target moving ring equipment. According to the method and the device provided by the invention, manual data acquisition is replaced by image acquisition and preset large model identification, so that the statistical efficiency of basic data of equipment resources is improved; the basic data of the equipment resources in the power and environment system are accurately obtained, and the management level of the equipment resources in the power and environment system is improved.

The application relates to the technical field of computer application, in particular to a list quota hanging and batch checking and modifying method based on a graphic element in a calculation software, which comprises the following steps: constructing an engineering model in the calculation software and selecting a graphic element; executing a graphic element automatic matching command based on the selected graphic element, completing matching and hanging of the graphic element and the list quota; quickly positioning and batch checking the graphic element whose matching and hanging of the list quota are completed; executing batch modification operation on the graphic element found in the checking result; and summarizing the list quota hung by the graphic element and exporting data to a pricing software. The application can improve the accuracy of list quota hanging and the checking efficiency.

The invention discloses a performance data statistical method, a performance data statistical device, performance data statistical equipment and a medium, relates to the technical field of computers, and is applied to a server of any storage management system. The method comprises the following steps: storing performance data of a storage management system in a corresponding preset granularity partition of an internal volume of a local storage pool based on preset performance data acquisition granularity; determining a target acquisition granularity, a target sampling point and a target object type corresponding to a performance data query request sent by a client, so as to determine a to-be-queried partition, a target sampling point partition and a target object type partition from each preset granularity partition of the internal volume, and determining a target data block based on the target object type partition; and reading the target performance data on the target data block, and returning the target performance data to the client, so that the client carries out statistics on the target performance data. The performance data statistical efficiency is improved, and the performance data maintenance cost is reduced.

The invention discloses a statistical method, system and device for the ear yield and leaf width of rice ears and a medium, and the method comprises the steps: collecting a to-be-segmented rice image, carrying out the preprocessing of the to-be-segmented rice image, and obtaining a preprocessed rice image; the preprocessed rice image is input into a trained rice detection and segmentation model for image detection and image segmentation, feature information of rice ears and rice leaves in the to-be-segmented rice image is obtained, and the rice detection and segmentation model is constructed based on a Transform model; and according to the feature information, performing statistics on the ear yield and the leaf width corresponding to the to-be-segmented rice image. The method can improve the statistical accuracy of the ear yield and the leaf width of the rice ears.

The invention discloses a line change relation statistical method and device, electronic equipment and a storage medium, and relates to the computer technology, and the method comprises the steps: constructing a network topological graph according to equipment information in a distribution network single line diagram; obtaining line change information between the current transformer node and the substation node from the network topological graph, wherein the line change information comprises a current transformer identifier and a line identifier corresponding to at least one target distribution line; and associating the current transformer identifier with the line identifier corresponding to the at least one target distribution line to obtain a line change relationship between the current transformer and the substation, and after statistics of each transformer in the distribution network single line diagram is completed, obtaining a statistical result of the line change relationship between each transformer and the substation. The method can automatically obtain the line change relation between each transformer and each transformer substation in the distribution network single line diagram, and achieves the beneficial effects of improving the statistical efficiency of the line change relation and improving the statistical accuracy of the line change relation through formulating the standard line hunting rule.

The present invention discloses a statistical method, system and equipment for over-limit monitoring data in the electric power industry. The method includes: defining over-limit inflection point data and storage structure; defining a parallel statistical algorithm for over-limit inflection point data; constructing an over-limit inflection point data preprocessing service based on the defined over-limit inflection point data and storage structure and the parallel statistical algorithm for over-limit inflection point data, and real-time synchronous preprocessing to generate over-limit inflection point data; based on the over-limit inflection point preprocessing data, providing an over-limit monitoring point data service based on the over-limit inflection point data and constructing an over-limit data statistical service for equipment, completing the statistics of over-limit monitoring data in the electric power industry. The method can timely, accurately and effectively improve the over-limit statistical efficiency through over-limit inflection point data, and meet the over-limit data processing and statistical needs of power plant production and operation.

The invention relates to the technical field of data processing, in particular to a live broadcast data statistical method, electronic equipment and a storage medium, and aims to improve statistical efficiency. The live broadcast data statistical method provided by the invention comprises the following steps: carrying out segmented recording on a video of a live broadcast room according to a preset recording time length; judging whether the phenomenon of replacing the live broadcast personnel exists in each recorded video clip through a face recognition technology, and if yes, searching for the personnel replacement time; according to the searched person changing time and the first frame time and the last frame time of all the video clips, the up-playing time and the down-playing time of each live broadcast person are determined; and carrying out statistics on live broadcast data of each anchor according to the up broadcast time and the down broadcast time. By using the method of the invention, statistics of live broadcast data can be rapidly completed.

The invention belongs to the technical field of drilling engineering, and discloses a drilling data analysis method and system and a computer storage medium, and the analysis method comprises the steps: building a universal target data set; determining a calculation formula of each data item in the general target data set, and establishing a drilling data calculation model according to the calculation formula of each data item; determining an operator of an atomic attribute in a calculation formula of each data item; drilling data dimension attributes of all operators are determined, an operator data set with the dimension attributes is obtained, and a parameter factor dimension data set is determined according to the operator data set with the dimension attributes and the drilling data calculation model; and according to the parameter factor dimension data set and the drilling data calculation model, performing self-defined drilling data statistics. According to the method, the self-defined combined statistics of the drilling data is realized, the method has relatively high statistical efficiency and self-defining capability, the workload of the drilling data statistics can be effectively reduced, and the statistical analysis work is more flexible.

The invention provides a civil air defense wall waterstop screw consumption estimation method, which comprises the following steps of: calculating and counting the waterstop screw consumption of members (shear walls, mouth thresholds, mouth coupling beams and mouth special-shaped parts) of all attribute categories of all walls in a BIM model through data processing and an algorithm by utilizing the BIM model of an existing civil air defense area; the estimated amount of the water stop screws is closer to the actual amount of the water stop screws on site, the estimation accuracy of the amount of the water stop screws of the civil air defense wall is improved, and the number of times of repeatedly applying for machining the water stop screws is reduced; and meanwhile, the statistical efficiency of estimating the using amount of the water stop screws is greatly improved, and the working process is simplified.

The invention relates to data processing, and provides a CPU time statistical method and device, equipment and a storage medium, and the method comprises the steps: obtaining a user identifier associated with a process created by a database and CPU time occupied by the process; jointly storing the user identifier and the CPU time into an array unit of a preset array; traversing a plurality of array units in the preset array to obtain the user identifier and CPU time in each array unit; and taking the user identifiers as indexes, and recording the plurality of CPU times in preset hash tables corresponding to the user identifiers respectively. The invention aims to simplify the statistical process, reduce the operation difficulty and improve the statistical efficiency and convenience of the CPU time consumed by the user.

The invention provides a data operation performance statistical method, device and equipment and a readable storage medium, which are applied to the technical field of storage, and the method comprises the following steps: determining a first storage area and a second storage area; the first storage area and the second storage area are used for storing operation parameters corresponding to data operation in turn under the condition that the data operation equipment executes the data operation, and the operation parameters are used for describing the execution condition of the data operation; under the condition that the operation parameters are started to be written into the first storage area, the operation parameters stored in the second storage area are obtained; under the condition that the operation parameters are started to be written into the second storage area, the operation parameters stored in the first storage area are obtained; based on the stored operating parameters, data operating performance of the data operating device is determined. The performance statistical efficiency of the storage system can be improved.