107 results about "Computer equipment" patented technology

The invention discloses a batch data processing method and device, computer equipment and a storage medium. The batch data processing method comprises the steps: selecting a target batch task from a non-real-time task queue, and creating a data processing queue based on the target batch task; determining target idle information from the target idle time queue, obtaining the number of to-be-processed data corresponding to the to-be-processed data, obtaining the target number based on the number of the to-be-processed data, the target idle duration and the estimated thread number, selecting theto-be-processed data corresponding to the target number from the data processing queue, and determining the to-be-processed data as segmentation processing data; when the original load of the system is smaller than a busy load threshold value, obtaining a target processing thread, adopting the target processing thread to perform data processing on the segmentation processing data in the target idle duration, and obtaining a data processing result; and based on the data processing result, updating the task state of each split processing data in the data processing queue. According to the batchdata processing method, system resources can be reasonably distributed, and the batch data processing efficiency is ensured.

The invention relates to a live broadcast interaction method and device, a computer readable storage medium and computer equipment, and the method comprises the steps: receiving a gift giving requestinitiated by an audience terminal, the gift giving request carrying a live broadcast video stream identification; acquiring live video data corresponding to the live video stream identifier, extracting an anchor portrait area in the live video data, and sending the extracted anchor portrait area to an audience terminal; receiving an interactive processing result sent by the audience terminal, theinteractive processing result being obtained by the audience terminal through interactive processing based on the anchor portrait area, the interactive processing result carrying a gift identifier andgift position information corresponding to the gift identifier; and based on the gift position information, performing superposition processing on the gift corresponding to the gift identifier and the live video data to obtain a synthesized video stream, and sending the synthesized video stream to the audience terminal. According to the scheme provided by the invention, audiences can participatein the gift making process, so that the interaction degree between the audiences and an anchor is improved.

The invention relates to the technical field of big data, is applied to the financial industry, and provides an enterprise potential risk early warning method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining a sample; obtaining an enterprise association map and extracting a node association relationship; obtaining a risk parameter tag carriedby a propagation starting node in the enterprise association map, and obtaining a propagation path of the risk parameter tag according to the association relationship between the risk parameter tag and the node, obtaining a propagation coefficient among the nodes in the propagation path, and carrying out tag propagation processing on the risk parameter tag according to the propagation path and the propagation coefficient to obtain potential risk early warning information of the node. According to the scheme, an enterprise association map and label propagation processing are carried out; According to the technical scheme, the propagation path and the propagation coefficient are determined by utilizing the incidence relation between the corresponding nodes of the enterprise, effective propagation of the risk parameter tags is carried out, enterprise potential risk early warning is obtained through analysis more quickly and accurately, and compared with a manual analysis mode, the enterprise potential risk analysis efficiency and early warning reliability are improved.

The invention provides a coronary artery stenosis detection method and device, computer equipment and a storage medium. The coronary artery stenosis detection method and device are characterized in that a detection result is obtained by inputting an obtained to-be-detected image into a coronary artery stenosis detection model; the coronary artery stenosis detection model comprises a trunk network,a segmentation network and a stenosis analysis network, and the output of the trunk network is connected with the input of the segmentation network and the input of the stenosis analysis network; thedetection result comprises a coronary artery segmentation result and a coronary artery stenosis result. Due to the structure of the coronary artery stenosis detection model, the coronary artery stenosis detection model comprises a segmentation network and a stenosis analysis network. Therefore, the coronary artery stenosis detection model is a multi-task model, can segment the input images to bedetected at the same time and conduct stenosis detection on the input image to be detected, so as to obtain detection results including at least two types, namely the coronary artery segmentation result and the coronary artery stenosis result.

The application relates to a data processing technology, and provides a locker control method and apparatus, computer equipment, and a storage medium. The method includes steps: obtaining voice information detected by a voice detector; extracting target voice content from the voice information through a speech recognition model, and extracting a target voiceprint characteristic from the voice information through the voiceprint recognition model; inquiring preset voice content matched with the target voice content and a preset voiceprint characteristic matched with the target voiceprint characteristic; inquiring a locker identification corresponding to the preset voiceprint characteristic when the preset voice content and the preset voiceprint characteristic are inquired; and transmitting adoor-opening control instruction to an electromagnetic lock corresponding to the locker identification, wherein the door-opening control instruction is used for instructing the electromagnetic lock to open a locker corresponding to the locker identification. By employing the method, the security of the locker can be improved.

The invention discloses a method and a device for realizing gateway remote multi-activity, computer equipment and a storage medium, and the method for realizing gateway remote multi-activity comprisesthe following steps: receiving a request address sent by a client, wherein the request address comprises a first IP address, and the first IP address corresponds to a local data center; accessing a first gateway of the local data center according to the first IP address, and judging whether the first gateway is in an available state or not; if the first gateway is in an unavailable state, determining a remote data center with the highest priority from the rest of available remote data centers according to a predetermined priority strategy; and accessing a second gateway of the remote data center with the highest priority, and calling a backup link between the remote data center with the highest priority and the local data center. The method for realizing gateway remote multi-activity solves the technical problem that a calling party cannot access service resources of a machine room where a service party is located when an application of the machine room where the service party is located goes wrong.

The invention relates to a cloud point filtering method and device, computer equipment and a storage medium. The method comprises that cloud point data is obtained; the cloud point data includes a setof data points obtained from the road scanning environment; a neighborhood of a present data point in the point cloud data is determined; when the counted first number of data points in the neighborhood of the present data point is lower than a preset threshold, the present data point is determined to be a candidate noise point; the candidate noise point as a seed point carries out regional growth to obtain a target growth region; when the counted second number of data points in the target growth region is lower than a preset threshold, the candidate noise point as a noise point is filtered from the point cloud data. The noise point is located preliminarily, and then determined by regional growth and filtered, data points formed by objects in the far place and sparse data points in the point cloud data are protected, and the accuracy of point cloud filtering is improved.

The invention relates to a fraud detection method and device for video data, computer equipment and a storage medium. The method comprises the following steps: acquiring to-be-detected video data; extracting image data of each video frame from the to-be-detected video data, and dividing the image data into a plurality of image data sets according to the time sequence of each video frame, the imagedata sets which comprises image data corresponding to continuous video frames; inputting each image data set into a pre-trained image feature extraction model to obtain an image feature vector; extracting voice data from the to-be-detected video data, and obtaining a voice feature vector of the voice data; performing cascade splicing on the image feature vector and the voice feature vector to obtain a multi-modal feature vector; and inputting the multi-modal feature vector into a pre-trained fraud detection model to obtain a fraud detection result corresponding to the to-be-detected video data output by the fraud detection model. By adopting the method, the characteristic information amount can be increased, the comprehensiveness and diversity of the characteristic information are improved, and the accuracy of video data fraud detection is effectively improved.

The invention relates to a text classification method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining to-be-classified text data, so as to obtain to-be-classified data; inputting the to-be-classified data into the target text classification model for classification to obtain a classification result; outputting the classification result to a terminal so as to display the classification result on the terminal; wherein the target text classification model is obtained by extracting a vector set from input text data, generating a label and then combining to form a training data set for training. According to the invention, the label is generated in a manner of automatically generating the label for the input text data; combining the generated label with an initial vector set; text data labels are corrected in an iterative mode, the initial text classification model is trained again, the training data quality is improved, the early-stage manual label labeling cost is reduced, and the requirement for a large amount of labeled data in a text classification task is quickly responded to, so that the text classification model is quickly established, and the text classification efficiency is improved.

The invention relates to an application program upgrading method, device and system, a storage medium and computer equipment. The application program upgrading method comprises the steps: obtaining anupgrading request triggered by at least one functional sub-module in an application program; sending an upgrading query request according to the upgrading request, wherein the upgrading query requestcarries version information of the function sub-module; when upgrading is determined based on version information in the upgrading query request, receiving fed-back upgrade information; obtaining anupgrading resource matching the version information according to the upgrading information; and updating the corresponding function sub-module in the application program based on the upgrading resource. According to the scheme provided by the invention, the upgrading efficiency of the application program can be improved.

The invention discloses a browser style compatibility method and device, computer equipment and a storage medium. The method comprises the steps of acquiring kernel information of a browser; receivingbrowser page data sent by a server, and obtaining a script file in the browser page data, the script file being used for configuring a cascading style sheet file in the browser page data; executing the script file to obtain a target cascading style sheet file after configuring the cascading style sheet file; rendering the browser page data according to the target cascading style sheet file to obtain target browser page data; and loading the target browser page data, and arranging the target browser page data on the target browser. According to the technical scheme, the problems that in the browser style compatibility process, the style matching real-time performance is poor, and the matching speed is low are solved.

The embodiment of the invention provides a scheduling operation method and device for a deep sewage drainage tunnel and computer equipment, being characterized by obtaining real-time data generated bya terminal, carrying out data processing, simulating real-time data to generate a scheduling decision model and a scheduling scheme, receiving an operation result fed back by the terminal, and performing model calibration on a scheduling model corresponding to the scheduling scheme according to the operation result, the operation result being generated by the terminal according to the schedulingscheme, so that real-time scheduling of each terminal can be realized, and the problem of complex scheduling operation of a deep sewage drainage tunnel is solved.

The invention provides a Nagios-based equipment monitoring method and device and computer equipment. The Nagios-based equipment monitoring method comprises a step of monitoring an operating state of at least one piece of equipment, and a step of determining a result that at least one piece of equipment is abnormal if a condition that the operating state of at least one piece of equipment is not ina preset operating state is judged, and controlling short message alarm terminal to emit short message alarm according to abnormality. The invention provides the Nagios-based equipment monitoring method, the short message alarm is achieved by a mode of externally connecting the short message alarm terminal, the mode has the advantages of low cost, simple maintenance, easy control and high reliability, the monitoring and management can be conveniently realized by operation personnel, and thus a problem that an alarm can not be carried out normally caused by a network communication failure is avoided.

The invention relates to a manual and automatic dual-mode rotating device and computer equipment. The manual and automatic dual-mode rotating device comprises a center shaft driving an object to rotate, a compound worm gear sleeving an excircle of the center shaft and capable of adjusting holding force, a self-locking worm meshed with the worm gear, and a motor driving the self-locking worm to rotate. The device solves the problem that when external torsion (a manual rotating mode) is applied onto the motor with a workload (an automatic rotating mode), the motor is not influenced by the external torsion, so that the motor is avoided from damage in the manual rotating mode. The manual and automatic dual-mode rotating device and computer equipment are applied to the field of rotating devices.

The invention relates to a method and a device for measuring the elastic property of an elastic object, a medium and computer equipment. The method for measuring the elastic property of the elastic object comprises the following steps: collecting the stress of the elastic object and corresponding strain in the process of carrying out tensile strength testing on the elastic object; carrying out regression analysis by adopting the stress and corresponding strain to obtain a stress-strain relation equation; and calculating and obtaining the elastic assessed value of the elastic object according to the stress-strain relation equation and a preset stress interval of the corresponding elastic object. The elastic assessed value can be used for representing the elastic performance of the elastic object, so that the elastic performance can be balanced conveniently, and the measurement on the elastic performance of the elastic object is realized. Therefore, the basis of quality evaluation and monitoring according to the elastic performance can be provided for the production quality control of the elastic object, so that the improvement on the production quality control of the elastic objectis promoted.

The invention discloses a gastric cancer risk prediction method and system, computer equipment and a readable storage medium, and relates to the technical field of cancer risk detection. The method comprises the following steps: collecting original data; preprocessing the original data; establishing a risk assessment model and training the risk assessment model; and utilizing the trained risk assessment model to predict a result based on the to-be-tested set. According to the technical scheme provided by the invention, the risk of suffering from gastric cancer can be accurately predicted for reference of doctors.

The invention relates to an information pushing method and device based on a block chain, computer equipment and a storage medium. The method comprises the steps of obtaining each block of a block chain; analyzing the block chain, and obtaining multi-dimensional characteristics of a user recorded in each block on the block chain and prediction probabilities of a plurality of pieces of to-be-pushed information corresponding to the multi-dimensional characteristics of the user; and pushing the to-be-pushed information to a user according to the prediction probability. Distributed storage of the operation information and the push information probability of the user is realized through the block chain; multi-dimensional features of the user and the probability of to-be-pushed information are extracted according to the multi-dimensional features; calculation of comparative consumed resources such as user preference feature extraction and the like is directly carried out at the user side, distributed tracking storage is realized, decentralization of feature comparison calculation is realized, the pressure of the server side is greatly reduced, accurate pushing and user requirement mining are realized, and information pushing is more accurate and timely.

The invention relates to a route planning method and device, computer equipment and a storage medium. The method comprises the steps of obtaining passable road sections between a departure and a destination; obtaining road condition information information of the passable road sections and overall technical data of a vehicle, and screening road sections, the road condition information of which ismatched with the overall technical data, from the passable road sections so as to obtain at least one matched road sections; and combining the at least one matched road section according to the departure and the destination so as to obtain at least one planned route. The matching between the vehicles and the road condition information can be sufficiently considered to ensure that the finally obtained planned routes can sufficiently consider the matching between the overall technical data of the vehicles and the roads, thereby ensuring that the vehicles can smoothly run on the planned routes.

The invention relates to a code coverage rate obtaining method and a device, computer equipment and a storage medium. The method comprises the steps of acquiring a code total coverage rate data tree,the code total coverage rate data tree comprises at least one first code file, and the first code file comprises a first code file identifier, a first code line number identifier and a code line number execution situation corresponding to the first code line number identifier; obtaining a target code tree, the target code tree comprises second code files corresponding to different versions, and the second code files comprise second code file identifiers and second code line number identifiers; determining a target code sub-tree from the target code tree, wherein the target code sub-tree comprises a third code file corresponding to the target version; and determining version difference coverage rate data according to the target code subtree and the code total coverage rate data tree. By adopting the method, the statistical efficiency of the difference coverage rate data can be improved.

The invention provides a client log processing method, a client log processing device and computer equipment, which can determine an equipment identifier, a log reporting time period and a reported log type aiming at a target client according to application requirements in a log salvage scene, and send a log reporting instruction containing the information to target equipment with the equipment identifier, so that the target client of the target equipment responds to the log reporting instruction, screening a target log matched with the log reporting time period and the reported log type from logs stored in a database, and then performing segmentation processing on the target log according to a preset unit time length by utilizing the generation time of the target log, and after the to-be-reported log files are obtained, the to-be-reported log files are reported to the log server, and compared with a processing mode of directly reporting the screened target logs, the processing mode of fragmenting the target logs and then reporting the target logs improves the log reporting speed and success rate.

The invention discloses a hardware WDT-based monitoring method. The method comprises the following steps that a monitoring program reads configuration information of a service or process needing to bemonitored based on the hardware WDT; the monitoring program calls the service or process based on the configuration information; whether the monitoring program calling service or process is overtimeor not is judged; and in response to that the monitoring program call service or process is overtime, the service or process is restarted. The invention further discloses computer equipment and a readable storage medium. According to the method and the device for monitoring based on the hardware WDT provided by the invention, the association between the monitoring of the software service or process and the hardware WDT can be established, and the stability of the hardware WDT is used for ensuring the stable and safe operation of a software monitoring program.