14results about How to "Implement backtracking" patented technology

The invention discloses a shield tunneling machine maintenance management system, relates to the technical field of shield tunneling machine maintenance, and solves the technical problem that a maintenance scheme and personnel configuration cannot be determined by automatically identifying fault conditions according to shield tunneling machine fault information acquired on site in the prior art. The system comprises a shield fault database, a maintenance guidance database, a maintenance personnel database, a fault identification module, a scheme generation module, a scheme selection module, a scheduling module, a maintenance recording module, a model updating module and a user side. According to the invention, fault identification, maintenance flow recommendation, maintenance scheme determination and specific maintenance personnel notification can be realized, automation of maintenance management is realized, manual statistics, adjustment and arrangement are not needed, and the accuracy of fault identification, the accuracy of the pushed maintenance scheme and the rationality of personnel arrangement are ensured.

The invention relates to the technical field of molecular biology and environmental biology, and discloses a PCR chip, application thereof and a method for evaluating the toxic effect of petroleum pollutants on zebra fish. The PCR chip comprises 22 pairs of target gene primers, each pair of target gene primers comprises an upstream primer and a downstream primer, and the sequences of the 22 pairs of target gene primers are as shown in SEQ ID NO. 1 to SEQ ID NO. 44. According to the invention, 22 specific related genes are specifically selected according to a research result, and a PCR chip for researching the toxic effect of the heavy metal pollutants on the zebra fish is integrated, so that chip customization based on the heavy metal pollutants is realized; the operation method of the PCR chip is mature and simple, a large amount of toxicity data can be obtained at a time, the toxic effect mechanism of the heavy metal pollutants on the zebra fish embryos can be researched more comprehensively and in detail, and data support is provided for deeper research on the toxic mechanism of the heavy metal pollutants.

The invention provides a data source version management method and device.The method comprises the steps that a snapshot version library is maintained, the snapshot version library is used for recording related information of table snapshot files of at least two data sources, and the table snapshot files are historical full-data snapshot files of corresponding tables; and under the condition that historical table data of a specified table at specified historical time needs to be acquired, performing version backtracking according to related information of the table snapshot file of the specified table in the snapshot version library. According to the method, the snapshot version library of the table snapshot file is maintained in advance, so that tracking and backtracking of the specified version and the specified data source can be efficiently, accurately and quickly realized based on the snapshot version library. In addition, the size of the table and the updating frequency of the table are analyzed by monitoring a data source log, and the snapshot collection period is intelligently adjusted.

The present invention discloses a test case generation method and device, the method comprising: obtaining a user interface screenshot of the software to be tested; using a pre-trained interface element recognition model to recognize the user interface screenshot, and obtaining each control in the user interface screenshot and related information of the control; generating an interface test case set according to each control in the user interface screenshot and related information. The present invention also discloses a method and device for automatically reproducing a problem scenario. By using the present invention, the efficiency of test case generation can be improved, and a comprehensive test of the user interface can be achieved.

The present invention relates to the field of sound collection, and specifically discloses a prison inspection method and device. It includes constructing a prison space coordinate system by modeling the prison structure, locating the relative position of the microphone in the prison space coordinate system, obtaining the sound signal collected by the microphone and performing first-order filtering and noise reduction processing to obtain the noise-reduced sound signal, extracting MFCC features from the noise-reduced sound signal, and analyzing through CNN model processing to obtain separated human voice signals and / or environmental sound signals and sound classification results. If there is a human voice in the sound classification result, voiceprint recognition is performed to obtain a suspicious person, and the sound source is located according to the relative position of the microphone, the separated human voice signal and / or environmental sound signal, the sound source position is determined, and the timeline and event line are connected in series to generate the prison events of the day and output an automated inspection report. The present invention accurately locates, predicts and traces back, and improves the efficiency of prison discipline inspection.

The application discloses a software testing method, device, equipment, storage medium and product, and the method comprises the following steps: obtaining the software code of each module of the measured software and the target test case according to the set test frequency, and establishing the software branch at the set test node; burning the software code to the development board, and testing the measured software through the target test case; and generating the test report according to the execution result of the target test case. According to the software testing method, the test of the measured software can be automatically executed according to the set test frequency, the problems can be found and positioned in time, the version control and backtracking of the measured software can be realized by establishing the software branch at the set test node, and therefore the software development efficiency is improved.

The invention relates to a satellite-borne autonomous program control component with configurable parameters. The satellite-borne autonomous program control component comprises a program control configuration body and a program control operation body, the program control configuration body comprises a plurality of configurable tables, each table corresponds to an autonomous program control, each row in the tables represents an action combination in the autonomous program control, the attributes of the action combination comprise an action index, an autonomous attribute interface, an action instruction and a time interval with a next action, and a user configures the tables so as to complete the automatic program control. The functional design of the corresponding autonomous program control is completed; the program control operation body drives the corresponding autonomous program control operation according to the configuration table of the program control configuration body, and various specific actions set by the program control configuration body for the autonomous program control are accurately and timely completed. The method is efficient, flexible and safe, various complex autonomous program control requirements on the satellite can be met, and the problems that the autonomous program control complexity on the satellite is high, the requirements are diversified, and structural codes are difficult to achieve are fundamentally solved.

The invention discloses an automobile energy consumption monitoring method and system, a medium and equipment. The method comprises the following steps: acquiring a vehicle communication signal; analyzing the vehicle communication signal according to the signal type of the vehicle communication signal to obtain energy consumption data and time sequence data; acquiring a driving control signal based on the time sequence data, determining a corresponding driving characteristic, establishing a mapping relation between the energy consumption data and the driving characteristic, and generating an energy consumption comparison result according to the energy consumption data corresponding to the driving characteristic; complex original data volume is reduced, corresponding driving characteristics are determined, a mapping relation between the driving characteristics and energy consumption data is established, limitation to single operation conditions is avoided, full-life-cycle energy consumption tracking and backtracking are achieved, and visual monitoring results are output through different media forms.

The application discloses a target recognition system based on multi-modal image analysis, relates to the technical field of intelligent sensing and behavior recognition in agriculture, and is used for solving the problems of behavior misjudgment and insufficient recognition stability of agricultural behaviors in a facility environment under the influence of mirror interference and non-synchronous multi-modal data. The system comprises a multi-modal data acquisition module, a data preprocessing and fusion module, a sample library and index system module, and a visualized tracing and decision support module. The system is characterized in that a time window is set for frame-by-frame scanning in a strong interference reflection scene, a mirror mask is constructed, and the main body is marked based on consistency scoring; image and sensing data are fused to establish synchronous binding; a double-channel SlowFast network and an SMC-ECA attention mechanism are used to extract behavior characteristics; a three-layer index system and a behavior database are constructed to realize full-process behavior tracing and intelligent decision assistance.

The present disclosure provides a data backtracking output method and device, electronic device, and storage medium, and relates to the field of computer technology. The data backtracking output method includes: initializing a target data structure and receiving event data; extracting dimension data from the event data, and determining index data corresponding to the dimension data, and storing the index data in a dimension indexer; storing the dimension data in a feature domain corresponding to the target data structure based on the index data; if it is detected that the target dimension data in the feature domain is greater than or equal to the statistical threshold, backtracking and outputting all dimension data corresponding to the target dimension data from the target data structure. The technical solution of the embodiment of the present disclosure can improve the storage efficiency of the dimension data by storing the dimension data in the event data in the target data structure, and can also backtrack the dimension data from the target data structure according to the index data, thereby improving the backtracking and output efficiency of the dimension data.

This invention discloses a system and method for constructing earthquake-themed scenarios based on multi-source 3D GIS data, belonging to the field of 3D geographic information system technology. It aims to solve the technical problems of data silos, limited information display, delayed data updates, and lack of end-to-end connectivity in earthquake emergency response. The system adopts a layered architecture consisting of a data resource layer, a data fusion layer, a service support layer, and an application display layer. The method involves building a basic 3D GIS emergency scenario, aggregating multi-source earthquake data, achieving spatiotemporal data fusion and event correlation, and completing integrated 3D display and decision support. This enables unified spatiotemporal fusion and real-time dynamic updates of earthquake data across all dimensions, as well as 3D visualization and spatiotemporal simulation of the entire pre-earthquake, during-earthquake, and post-earthquake chain. This provides global and three-dimensional decision support for earthquake emergency command, significantly improving the efficiency, accuracy, and systematic nature of earthquake emergency response.

The application discloses a data backtracking method and device, equipment and storage medium, and belongs to the field of data processing. The method comprises the following steps: acquiring user label backtracking information; acquiring a label bitmap table corresponding to a user label and user data anchor bitmap through a preset first database according to the user label backtracking information; and acquiring user data corresponding to the user label by backtracking through a preset second database according to the label bitmap table corresponding to the user label and the user data anchor bitmap. The user data corresponding to the user label is obtained by calling the label bitmap table and the user data anchor bitmap. Thus, the backtracking of the user data is realized, and the technical problem that the label source data cannot be quickly backtracked is solved. Compared with the prior art, the application has the advantages of high efficiency and high accuracy.

The invention provides a model maintenance method and device based on deep learning, equipment, a storage medium and a program product. The method comprises the following steps: registering a hook function in at least one module of the model; in the operation process of the model, extracting execution information of the module by utilizing the hook function; dynamically constructing a hierarchical tree structure according to the execution information; wherein the hierarchical tree structure is used for storing the execution information.

The invention discloses a video backtracking method and device, electronic equipment and a readable storage medium, which are applied to the technical field of video surveillance, and the method comprises the following steps: after an awakening signal of a system is triggered and before the system is completely awakened, collecting brightness information and infrared information of multiple missing frames; after the system is completely awakened, collecting color video information of a preset duration; and the brightness information, the infrared information and the color video information of the multiple missing frames are analyzed and processed to obtain the video information of the time period from the time when the wake-up signal of the system is triggered to the time when the system is completely awakened, so that the video backtracking is realized, and the security and the security effect of the security system are improved.