187 results about "Target analysis" patented technology

The invention belongs to the field of target detection, and particularly relates to an infrared weak and small target detection method based on a double-branch attention mechanism. The method comprises the following specific steps: step 1, preparing data sets: performing data enhancement on a first infrared data set and a second infrared data set for pre-training, and performing model fine adjustment on a third infrared data set; 2, constructing a network model, wherein the whole model is composed of a target analysis path, a splicing path and a target reconstruction path; according to the method, a global semantic enhancement large-kernel attention module is introduced into a coding module of a target analysis path, global information is obtained and utilized from four angles of a channel, a transverse direction, a longitudinal direction and a receptive field, and a double-branch single-head attention module is introduced into a splicing path to obtain association degrees among different scales; the purpose of eliminating the semantic difference between the target analysis path and the target reconstruction path is achieved, the difference between the weak and small target and the background is expanded, and the detection precision of the infrared weak and small target is improved.

The invention provides a drainage pipe network monitoring method and system based on an Internet of Things sensing device, and the method mainly carries out the targeted analysis of a target region, and can achieve the analysis of an in-pipe pressure value and an in-pipe flow velocity value monitored in the target region through the arrangement of the Internet of Things sensing device. When it is monitored that a large amount of sludge appears in the target area, the influence of the sludge on the target area can be tracked and judged, so that the drainage pipe network is accurately recognized and monitored, the sludge state in the drainage pipe network is found in time, and the drainage pipe network can be prevented from being blocked by a large amount of sludge.

The invention discloses an analysis report generation method and device, equipment, a medium and a product. The method comprises the steps of determining a target report template in response to an analysis report generation request, and analyzing the target report template to determine a to-be-filled variable in the target report template; determining a corresponding data acquisition strategy according to the data type corresponding to the to-be-filled variable, and acquiring target data from at least two target systems based on a preset robot process automation technology and the data acquisition strategy; and according to a preset configuration file and the target data, determining a variable type and target filling information corresponding to the to-be-filled variable so as to execute a corresponding filling operation on the target report template, and generating a target analysis report. According to the technical scheme, the preset report template and the configuration file can be utilized to automatically perform data acquisition, processing and filling, so that the analysis report is quickly and accurately generated.

The embodiment of the invention discloses a standard message analysis method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a message document of a target standard message, obtaining a to-be-analyzed document, and determining the message type of the target standard message based on a message definition identifier in the to-be-analyzed document; obtaining a target analysis rule corresponding to the target standard message from a plurality of pre-cached analysis rules based on the message type, wherein the plurality of analysis rules comprise analysis rules corresponding to various types of standard messages needing to be analyzed; and analyzing the to-be-analyzed document based on the target analysis rule to obtain a target service semantic field corresponding to the target standard message. According to the embodiment of the invention, the flexibility and applicability of the standard message analysis method are improved.

The invention relates to the technical field of equipment control, in particular to an artificial intelligence-based disinfection and killing equipment control system, which comprises an operation area acquisition module for acquiring planar graph information of an operation area of disinfection and killing equipment; the plane coordinate construction module is used for constructing a work area coordinate system; the inspection information acquisition module is used for acquiring the inspection information and the operation information of the killing cancelling equipment; the routing inspection path analysis module is used for analyzing the routing inspection demand area and further used for analyzing routing inspection area parameters; the disinfection and killing target analysis module is used for analyzing the types of the disinfection and killing target area and the inspection area; the inspection collision analysis module is used for analyzing the path collision type; the inspection path optimization module is used for optimizing the inspection path of the disinfection equipment; and the equipment inspection control module is used for controlling the disinfecting and killing equipment to perform disinfecting and killing operation in the inspection demand area according to the inspection path. According to the invention, accurate control of the running track of the disinfection equipment is realized.

The invention discloses a content verification method and system based on LLM security protection, and the method comprises the steps: determining to-be-examined data from all data corresponding to LLM security protection, and carrying out the preliminary examination operation of the to-be-examined data based on a predetermined examination mechanism, and obtaining a preliminary examination result; and according to a predetermined target analysis algorithm and a data review strategy, executing a data verification operation on the preliminary review result to obtain a data verification result corresponding to the to-be-reviewed data. It can be seen that the data of the LLM safety protection system can be intelligently verified, the accuracy and reliability of data verification can be improved, and the operation safety of the LLM safety protection system can be further improved.

The invention relates to the technical field of network situation awareness, in particular to a network situation intelligent awareness security system based on multi-source data analysis, which accurately acquires a perception threat confidence vector, a service interruption risk vector, an attack chain complete vector and a user behavior deviation vector based on multi-source data fusion and targeted analysis. According to the method, network situation key information can be comprehensively and accurately captured, a reliable basis is provided for subsequent decision making, the comprehensiveness and real-time performance of threat perception are improved, dynamic balance of safety protection, service efficiency and operation and maintenance cost is achieved by relying on a multi-target game mechanism and a network space digital twinning technology, and the safety and reliability of threat perception are improved. A simulation deduction deviation value is introduced as a core index of strategy evaluation, a real network situation is simulated through a digital twin environment, the difference between a strategy execution effect and an expected target is quantified, and in combination with reproduction of an attack scene by the twin environment, deviation value analysis is ensured to be more fit with the real network environment.

The invention provides an air-ground cooperative target detection and feature analysis system and method, and the method comprises the steps: correspondingly obtaining an air sample database and a ground sample database through collection, data cleaning, enhancement, labeling, feature extraction and classification; the air feature sample data set and the ground feature sample data set are processed and screened through a sample processing module, the screened air sample data set and the screened ground feature sample data set are input into a model for training, and a trained air target recognition model and a trained ground target analysis model are obtained; and the two models are optimized respectively, and detection and feature analysis of the target are realized in combination with multi-modal feature fusion. Compared with the prior art, through mutual combination of the aerial target identification model and the ground target analysis model and multi-modal feature fusion, target detection and feature analysis are realized based on application scene training optimization, and target detection precision and feature analysis accuracy are improved.

The present invention relates to the field of intelligent control technology, and in particular to a method and system for monitoring the operating status of a compressor. The method includes: obtaining pressure sequences and temperature sequences at historical moments of the compressor, as well as an ideal compression cycle; obtaining multiple pressure analysis groups of the pressure sequence arranged in time sequence; determining the first, second, and third abnormal values ​​of the pressure analysis group; recording the average of the first, second, and third abnormal values ​​as the total abnormal value of the target analysis group; determining the abnormal pressure group; determining the attention of the abnormal pressure group; obtaining the final penalty parameter; and training the SVM model with the final penalty parameter to realize the monitoring of the operating status of the compressor. The present invention can specifically mine the abnormal conditions in the compressor operating status data by determining three groups of abnormal values ​​of the pressure analysis group and judging whether it is an abnormal pressure group based on the total abnormal value, thereby avoiding the problem of abnormal data being ignored due to data imbalance.

The invention relates to the technical field of data processing, and discloses a method, device and equipment for data processing, a medium and a program product, the method comprises the following steps: in response to an analysis element determined by a user, obtaining analysis data corresponding to the analysis element and an associated factor corresponding to the analysis element; on the basis of the analysis data, contribution weights of the correlation factors to the target indexes are generated, an initial analysis result is obtained, and on the basis of a data correlation model, a mapping relation between the analysis elements and the target indexes is established; in response to the adjustment of the contribution weight, generating an updated analysis result based on the adjusted contribution weight and the analysis data; or in response to adjustment of the analysis elements by the user, second analysis data corresponding to the adjusted analysis elements are obtained, a target analysis result is generated based on the second analysis data and the contribution weight, and the analysis elements and the adjusted analysis elements have the same associated factors. Analysis element adjustment is supported, and the method can adapt to actual service scene change.

The invention discloses a report analysis method and device, electronic equipment and a storage medium, and belongs to the technical field of computers. The report analysis method comprises the following steps: receiving a target analysis task through a front-end interaction layer; calling a pre-training language model through an artificial intelligence body, and splitting the target analysis task into a plurality of sub-tasks; each subtask corresponds to one business requirement; respectively calling a query interface corresponding to each subtask through an artificial intelligence body based on a sequence relationship among the plurality of subtasks, querying the target report, and obtaining a query result corresponding to the subtask; and calling the pre-training language model through the artificial intelligence, analyzing the query result corresponding to each sub-task, and obtaining an analysis result for the target analysis task. According to the report analysis method and device, the electronic equipment and the storage medium provided by the invention, the pre-training language model is called through the artificial intelligence to gradually disassemble the complex analysis task, so that the accuracy of report analysis in a complex query scene can be improved.

The invention discloses an error log supervision method, device and system and a storage medium. The error log supervision method comprises the steps of obtaining error log information of a target business system; analyzing the error log information, and determining target analysis information; a code line of a target code is positioned according to the target analysis information, submission information of the code line is obtained, and the submission information comprises a code submission object; adding comment information in the code line, wherein the comment information comprises part or all of the target analysis information; in response to the adding operation of the comment information, a prompt message is sent to the code submission object, and the prompt message comprises part or all of the comment information. Therefore, the corresponding code line can be automatically positioned, the analyzed error log information is added into the comment, and the code submission object can be notified in time, so that the convenience of code maintenance is improved.

The invention discloses a monitoring system and method of a power distribution cabinet and a storage medium. The method comprises the steps that monitoring information in a target power distribution cabinet is collected, and the monitoring information comprises environment information and equipment state information; performing anomaly analysis on the environment information to obtain a first analysis result, the first analysis result being used for determining whether the current environment of the target power distribution cabinet is abnormal; performing anomaly analysis on the equipment state information to obtain a second analysis result, the second analysis result being used for determining whether the equipment in the target power distribution cabinet is in an abnormal state; determining a target analysis result based on the first analysis result and the second analysis result, the target analysis result being used for determining whether the target power distribution cabinet is in an abnormal working state; and generating early warning information in response to determining that the target power distribution cabinet is in an abnormal state according to the target analysis result. According to the invention, the technical problems of incomplete monitoring and untimely early warning caused by single monitoring information in the prior art are solved.

The invention provides a technological process file data analysis method and device based on a knowledge graph. The method comprises the steps of obtaining two-dimensional design data of a technological process file; performing data reconstruction according to the two-dimensional design data, and generating a facility knowledge graph and a facility label group; matching and associating the facility knowledge graph and the facility label group to generate a facility combination label corresponding relation; and on the basis of the facility combination tag corresponding relation, associating the facility knowledge graph with the queried service data, and outputting target analysis data of the process flow file according to a preset data format, so that the two-dimensional design data of the process flow file is converted into the target analysis data in the data format with higher sharing performance. Checking or sharing can be carried out on a multi-design platform system, and the applicability and universality are high; the business information integrity of the target analysis data is ensured, so that the matching degree of the business information and the geometric information is ensured, the system complexity is reduced, the development cost is saved, and the conversion efficiency is improved.

The invention discloses a high-risk operation identification method based on access behavior frequency, and particularly relates to the field of port behavior chain analysis, and the method comprises the steps: recording a starting port, a response port, trigger time and an execution sequence of an access request in a target system, and constructing an access behavior chain according to an access conduction path; and counting the access frequency of each port in a preset time window, setting an interval range formed by an access frequency upper limit value and an access frequency lower limit value, and defining the ports with the access frequencies in the interval range as a target analysis port set. By constructing a chain response mapping structure of port access behaviors and combining a path truncation test and structural independence index calculation, a latent high-risk port which is in a silent state but has a system core linkage function is identified, so that the problems that a passive activation port is difficult to identify and an induced chain attack path lacks perception are solved.

The invention discloses a user traffic screening method and device, electronic equipment and a storage medium, and relates to the technical field of LTE core networks. The method comprises the steps of obtaining a target user identifier of a target user in response to a screening instruction of user traffic of the target user; determining a target control tunnel associated with the target user and bearing identifiers belonging to the target control tunnel; the bearing identifier comprises a default bearing identifier and a special bearing identifier; creating a target database based on the target control tunnel, the bearer identifier belonging to the target control tunnel and the target traffic data quintuple; and in response to the screening instruction of the target user traffic, forwarding the target user traffic to the target analysis system under the condition of determining that the target user traffic is matched with the target database. According to the scheme provided by the invention, the flow data generated by the LTE core network can be screened, and a basis is provided for improving the efficiency and accuracy of subsequent data analysis work.

The invention relates to the technical field of artificial intelligence, provides an enterprise portrait construction method and device based on a large language model, equipment and a medium, can collect associated data of a target enterprise from a plurality of data sources, performs feature extraction on the associated data to obtain to-be-processed data, and realizes integration of data of the plurality of data sources; the to-be-processed data is input into the multiple large language models for multi-model analysis, analysis data of each large language model is obtained, and misjudgment caused by limitation of a single model can be effectively prevented; according to the method, a multi-dimensional evaluation strategy is constructed, target analysis data is selected from analysis data of each large language model by using the multi-dimensional evaluation strategy, and the enterprise portrait of the target enterprise is constructed according to the target analysis data, so that the enterprise portrait can be automatically generated in combination with an artificial intelligence means, and the reliability of the enterprise portrait is improved; and meanwhile, the construction cost of the enterprise portrait is reduced.

The invention provides a chart generation method and device, electronic equipment and a storage medium, and relates to the technical field of data analys.The chart generation method comprises the steps that in response to a data analysis instruction for a target data source, at least one initial analysis intention is displayed; in response to the intention selection instruction, determining a target analysis intention from the at least one initial analysis intention based on the intention selection instruction; displaying a question template corresponding to the target analysis intention; receiving an input field aiming at each first slot position in the question template, and combining the input field with a first fixed statement in the question template to generate a question sentence pattern; and performing chart generation processing on the target data source based on the question sentence pattern to obtain a target chart. By introducing the structured input mode, the user is restrained from asking questions too divergently, the quality of the question sentence pattern is improved, the efficiency and accuracy of chart generation are improved, the generated chart better conforms to the expectation of the user, and the satisfaction degree of the user is improved.

The invention discloses a data analysis method and device, equipment and a storage medium, and relates to the technical field of data processing.The method comprises the steps that in response to a received target file, at least one set of worksheets is determined based on the target file; an interactive interface is displayed according to the at least one set of worksheets, and the interactive interface comprises a thumbnail area and an actual file area; in response to a received operation instruction of a user on the thumbnail area and the actual file area, determining a target analysis rule according to the operation instruction; analyzing the data content in the at least one group of worksheets based on a target analysis rule to obtain target structured data, and displaying an interactive interface through the at least one group of worksheets determined according to the target file, therefore, the user can define the target analysis rule by performing simple operation on the thumbnail region and the actual file region in the interactive interface, and then the target structured data is generated according to the target analysis rule, so that the efficiency and accuracy of data analysis are improved.

The invention relates to the field of news event analysis and visualization, in particular to a multi-target dynamic composition intelligent guiding system and method for sudden news events, and the system comprises a news event monitoring analysis subsystem which is used for monitoring and analyzing existing news events, mining important news entities and obtaining event dynamic chains, and a target analysis subsystem which is used for receiving the information and sending the information to a target analysis subsystem; the method comprises the following steps of: performing clustering analysis on news keywords and entity objects, identifying related important news events and main bodies, receiving the events and main body information by a composition subsystem, performing composition modeling to obtain a news relation graph, receiving the news relation graph by a multi-target composition intelligent guide subsystem, constructing an event topology spectrum tensor and generating a dynamic characteristic matrix, and performing multi-target composition intelligent guide on the news relation graph. According to the method, a multi-target optimization guide vector field is generated, finally, the news relation graph is dynamically guided, comprehensive monitoring, mining and traceability of sudden news events are achieved by establishing a complete news event monitoring and analysis system, and the comprehensiveness and accuracy of event discovery are effectively improved.

The invention discloses a target feature acquisition method and device, a camera and a storage device. The method comprises the steps that video frames are collected in real time, and when the number of moving targets contained in a first video frame collected at the current moment is larger than a first preset number threshold value, a to-be-analyzed area in the first video frame is obtained; acquiring a second video frame acquired at a previous moment and / or a next moment, and determining a movement track of the moving target according to the first video frame and the second video frame; determining a to-be-analyzed target in the second video frame according to the movement track of the moving target, and extracting a target area where the to-be-analyzed target is located from the second video frame; and splicing the target region into the to-be-analyzed region to generate a target analysis region, and analyzing the target analysis region to obtain feature information of the moving target contained in the target analysis region. According to the scheme, the feature information of the moving targets in the at least two video pictures can be analyzed at the same time, and the target feature recognition efficiency is effectively improved.

Embodiments of the present application provide a method, medium and electronic device for automatic data analysis, the method comprising: obtaining an original data file and a current analysis target; obtaining a target data table according to initial data characteristics of the original data file; obtaining updated data characteristics corresponding to the original data file according to the target data table; inputting the updated data characteristics and the current analysis target into a pre-constructed analysis method recommendation knowledge base to obtain a candidate analysis method set; performing effect simulation pre-evaluation on at least part of the analysis methods in the candidate analysis method set according to the target data table to obtain real-time performance evaluation indexes of each method; obtaining a target analysis method selected for the current analysis target based on a reinforcement learning decision model; and analyzing the target data table using the target analysis method to generate an analysis result.

The embodiment of the invention discloses a data link fault detection method and device, electronic equipment, a medium and a product. The method comprises the steps of reading link connection information recorded in target detection equipment under the condition of establishing communication connection with the target detection equipment in a ship digital platform; wherein the target detection equipment comprises a firewall and / or a switch; the link connection information is used for reflecting a connection state between an equipment interface of the target detection equipment and ship equipment in at least one ship digital platform; determining a target device attribute of the target detection device, and determining a target analysis mode corresponding to the target device attribute based on a preset corresponding relationship between the device attribute and the analysis mode; and analyzing the link connection information according to the target analysis mode, and determining a fault link in target data links associated with the target detection equipment based on the analyzed link connection information and a preset corresponding relationship between the equipment interface and the data links.

The application discloses a kind of software evaluation method, device, equipment and storage medium, and specifically discloses: receiving the software requirement document uploaded by user, and the software requirement document is parsed, and target analysis data is extracted;Target analysis data includes function item description, data element type and file reference type;Based on function item description and interface image associated with function item description, a multi-modal fusion analysis technique is used to classify the function items, resulting in a classification result;The function items are checked for duplicates, resulting in a first inspection result, and the data element types and file reference types are checked for form, resulting in a second inspection result;Form checking includes illegal character checking and character duplication checking;According to the classification result, the first inspection result and the second inspection result, a function point analysis table is generated, and a software evaluation report is generated based on the function point analysis table.

The present application discloses a target analysis method and electronic device, including: inputting image data to be processed into at least two different types of target analysis modules; each of the target analysis modules processes the image data respectively to obtain respective target analysis results; each of the target analysis results includes at least one target and its trajectory information, and at least one target analysis result includes the structured information of the target; matching the trajectory information of the targets in the target analysis results obtained by different target analysis modules, determining the structured information of the first target corresponding to the successfully matched trajectory information in each target analysis result; and outputting the result based on the structured information of the first target. By using the present application, it is possible to integrate a variety of different types of target analysis results to meet complex analysis requirements.

This invention provides a bitstream analysis method, apparatus, storage medium, and electronic device. The method includes: acquiring the raw bitstream reported by a target camera device accessing a server, wherein the server has an analysis function to analyze the raw bitstream, and the analysis function is configured in the server through an acquired configuration file, which is pre-acquired from camera devices that have historically accessed the server; determining, based on the capabilities of the target camera device, whether the target camera device has performed target analysis on target bitstreams included in the raw bitstream; extracting the target bitstream from the raw bitstream and performing target analysis on the target bitstream. This invention solves the problem of poor intelligent analysis capabilities of camera devices in related technologies, achieving the goal of enhancing the intelligent analysis capabilities of camera devices and improving the efficiency of intelligent analysis.

The invention provides a vehicle operation data analysis method and device, equipment, a medium and a product, and relates to the technical field of vehicle data management. The method comprises the following steps: acquiring a data analysis demand text, and identifying a data analysis scheme corresponding to at least one target vehicle from the data analysis demand text; determining a corresponding to-be-analyzed data identifier and a target data analysis interface according to the target analysis dimension; according to the target vehicle identifier, the to-be-analyzed data identifier of the target analysis dimension and the analysis time range of the target analysis dimension, extracting corresponding to-be-analyzed data of the target vehicle on the target analysis dimension from pre-collected vehicle operation data; and inputting the to-be-analyzed data of the target analysis dimension into a target data analysis interface of the target analysis dimension for analysis to obtain a data analysis result of the target analysis dimension. According to the method, the vehicle operation data of the vehicle on the target analysis dimension is analyzed in a customized manner according to the actual demand of the user, and the data analysis efficiency is improved.

The invention relates to an intelligent electric meter fault detection system. The system comprises a target analysis mechanism and a target analysis mechanism, the AI analysis module is used for introducing an AI analysis model according to a preset time length and various configuration information of a target intelligent electric meter; intelligently analyzing a fault type identifier of the target intelligent electric meter at the current moment according to the remote meter reading of the target intelligent electric meter at the current moment and each remote meter reading corresponding to each previous moment before the current moment; and the type mapping mechanism is used for determining the type name of the fault type corresponding to the fault type identifier as the current fault type name. Through the system, the AI analysis model can be used to intelligently analyze the fault type identifier of the target intelligent electric meter at the current moment, and then the current fault type name is determined, and the current fault type name is wirelessly sent to the handheld terminal of the nearest worker, so that the intelligent level and the automation level of intelligent electric meter management are improved.

The invention provides a corpus cleaning method and system, a medium and a terminal. The method comprises the following steps: obtaining an original corpus to be cleaned, carrying out pre-annotation processing on the original corpus to generate a pre-annotated corpus, and analyzing the pre-annotated corpus to generate first analysis information; corpus optimization is conducted on the original corpus to obtain optimized corpus, and the optimized corpus is analyzed to generate second analysis information; performing enhancement processing on the original corpus to obtain an enhanced corpus, and analyzing the enhanced corpus to generate third analysis information; generating target analysis information according to the first analysis information, the second analysis information and the third analysis information, and generating a corresponding synthetic corpus according to the target analysis information; performing desensitization processing on the synthetic corpus according to a desensitization library to generate a corresponding desensitization corpus, and performing standardization processing on the desensitization corpus to generate a corresponding target corpus. According to the method, the corpus cleaning efficiency and quality are effectively improved.

The invention discloses a visual A / B test data analysis method and device based on a large model, and the method comprises the steps: displaying A / B test data index information of a to-be-analyzed object under different analysis dimensions on a data analysis page, and carrying out the associated display of an analysis function entry used for triggering the large model to analyze the A / B test data index information for each analysis dimension; and in response to a trigger operation on the analysis function entry associated with the target analysis dimension, displaying a data analysis result of the A / B test data index information under the target analysis dimension. Therefore, the analysis function entry can be triggered in a visual mode, and the analysis efficiency and the analysis accuracy can be improved by automatically analyzing the A / B test data index information through a large model. Besides, each analysis dimension displays an analysis function entry in an associated manner, so that the analysis function entry associated with the corresponding analysis dimension can be triggered based on user requirements, targeted A / B test data index information analysis is realized, and the user experience is improved.