11results about How to "Implement automatic updates" patented technology

An intelligent tool car relates to the technical field of tool cars. According to the intelligent tool car provided by the utility model, paper drawings are replaced by electronic drawings by combining existing hardware modules. Therefore, automatic updating of online drawings is realized, resource waste is reduced, and drawing retrieval and updating efficiency is improved. Furthermore, the tool is intelligently associated with the drawing, so that the operation error and the tool loss rate are reduced, and the anti-loss management of the tool can be realized. Furthermore, through the modular design and the plug-and-play characteristic of existing hardware, the manufacturing cost of the equipment is reduced by 30%, development programs do not need to be customized, the equipment can be directly adapted to management systems of different workshops, and the popularization threshold is low. The system is suitable for non-standard processing scenes such as digital intelligent plate cabinet workshops and the like, and is used for solving the problems of lagging drawing management, low tool use efficiency, resource waste and the like.

The present disclosure provides an updating method and device of an intent template library, an electronic device and a storage medium, relating to the technical field of computers, in particular to the technical field of artificial intelligence such as deep learning, natural language understanding, voice interaction. The specific implementation scheme is: obtaining a target sentence with an empty intent recall result from a historical dialogue library; determining the word slot label corresponding to each word group in the target sentence; based on a preset word slot arrangement rule, sorting the word slot labels corresponding to the target sentence to obtain a semantic template corresponding to the target sentence; performing intent recognition on the semantic template or the target sentence to determine a target intent corresponding to the semantic template; and storing the semantic template and the target intent in the intent template library. Thus, the automatic updating of the intent template library is realized, which not only expands the size of the intent template library and reduces the cost of updating the intent template library, but also improves the accuracy and reliability of the intent template library and optimizes the performance of the machine in the human-computer interaction process.

The application discloses a cross-device picture storage management method and system and a storage medium. The method comprises the following steps: in response to a screenshot instruction of a user on a first device, a specified area of a screen of the first device is screenshotted, a first text information group in a first control interface is collected to form a first picture name for the screenshot, the content of the first text information group is updated to obtain a second text information group, and the second text information group is recorded in a configuration file. Then, after the execution program and the configuration file are transferred from the first device to a second device, each information in the second text information group is presented to a second control interface on the second device according to the configuration file. Finally, in response to a screenshot instruction of the user on the second device, a specified area of a screen of the second device is screenshotted, and a second text information group is collected to form a second picture name for the screenshot, so that a verification personnel can realize continuous naming of screenshots and pictures of a verification use case without reconfiguration when switching devices.

The utility model discloses a motor oil seal mounting structure belongs to motor technical field, including motor outer cover, the motor outer cover is rotationally connected with the pivot in, is provided with the bearing chamber in the motor outer cover, is rotationally connected with the bearing in the bearing chamber, is provided with the inner cover in the bearing chamber outside one side, is provided with the oil seal ring between the inner cover and the bearing, is provided with a plurality of muscle mouth on the oil seal ring along the circumferential direction, can help oil seal quick positioning and prevent rotation or eccentricity in the installation process, promotes the installation efficiency and operating stability, after the grease is extruded, the grease solution can be arranged to the inner cover space along the muscle mouth channel, then is arranged to export through the grease hole on the inner cover, thereby realizes the automatic renewal, avoids the old grease stagnation, the hardening even the blockage lubrication channel, is helpful to prolong the bearing life, keeps the smooth operation.

The application discloses a kind of advancing head position automatic updating method and system, it is related to mining intelligent mining field.Real-time three-dimensional coordinates of heading machine in working are obtained;It is converted into dynamic absolute coordinate;Determine whether heading machine reaches head position;When reaching head position, in combination with dynamic absolute coordinate, carry out static identification to heading machine, obtain the accurate absolute coordinate of advancing head real-time position;Based on accurate absolute coordinate, automatically update advancing head position in a map.The application obtains the absolute coordinate of heading machine based on accurate positioning technology and GIS technology, identifies that heading machine reaches head position, sets waiting time to change heading machine from dynamic identification to static identification, improves the positioning accuracy of advancing head position, realizes the automatic update of advancing head position in a map, three-dimensional geographic information data, digital twin model, improves the intelligent level of advancing working face, has practical significance to real-time monitoring heading machine working condition.

This application provides a test association method, apparatus, electronic device, and storage medium. By executing automated test script files, the test results of the automated test scripts are obtained. Based on the test results, a hash set is updated. The hash set includes hash data corresponding to multiple automated test scripts. The key of each hash data is the script name of the corresponding automated test script, and the value represents the test result of the corresponding automated test script. For each functional test case in the functional test case file, the hash set is queried to obtain a first hash data whose key matches the name of the functional test case. Based on the value of the first hash data, the test identifier of that functional test case in the functional test case file is updated. This application establishes an association between automated test scripts and functional test cases using the same name, realizing automatic updating of functional test case execution results, saving time and effort, and improving testing efficiency.

The present disclosure relates to a media content collection list updating method and device, electronic equipment and storage medium. The method comprises: determining a media content preference type of a target account according to historical association data of the target account; obtaining media content of the media content preference type as to-be-collected media content; and adding the to-be-collected media content to a media content collection list of the target account. The present disclosure realizes automatic updating of the media content collection list, and no longer only relies on operation of the target account for updating, thereby improving the updating efficiency of the media content collection list.

The invention discloses a multi-source data-oriented intelligent dynamic character event atlas construction method, and aims to solve the core problems of causality deficiency, structure static stiffness and uninterpretable prediction in the traditional technology. The method comprises the following steps: firstly, unifying heterogeneous data into a'character-behavior-time 'three-dimensional event tensor through multi-source analysis; further, semantic similarity and causal strength calculation are creatively fused, and a dynamic map with an explicit causal relationship is constructed; driving adaptive growth and updating of the atlas through a structural uncertainty index; an individual behavior latent variable is learned by adopting a variational auto-encoder, so that personalized behavior prediction is realized; and finally, generating a prediction result with natural language interpretation in combination with causal path consistency constraint and a large language model. According to the method, the crossing from static association to dynamic causal reasoning is realized, and the accuracy, the self-adaptability and the interpretability of character behavior modeling under the scenes of public security criminal investigation, financial risk control and the like are remarkably improved.

The present disclosure relates to the technical field of computers, in particular to a test case updating method, a test case updating device, a storage medium and an electronic device. The test case updating method comprises: obtaining a first test case tree; wherein the first test case tree comprises a reference node, and the reference node has a reference relationship with a reference source node in a second test case tree; when content of a target reference source node referenced by a target reference node is changed, synchronizing the changed content of the target reference source node to the target reference node; and when content of a target reference node is changed, synchronizing the changed content of the target reference node to the target reference source node. The test case updating method provided by the present disclosure can solve the problem of automatically updating test cases.

A composite wetland water cycle simulation method and system based on digital twinning belong to the field of water conservancy informatization and digital twinning technology. In view of the problem of insufficient accuracy caused by ignoring the dynamic change of vegetation and lacking adaptive calibration in traditional wetland water cycle simulation, the method comprises the following steps: constructing a three-dimensional digital base of the wetland and generating an unstructured grid; deploying multispectral sensing equipment to obtain vegetation spectral characteristics, and inversing leaf area index and average vegetation height, and the collection frequency is dynamically triggered by the digital twinning model; establishing a segmented dynamic mapping of the submerged state of vegetation and the resistance of water flow, dynamically calculating the Manning roughness coefficient and the transpiration loss term; substituting into the shallow water equation set to perform water cycle simulation; comparing the simulated water level with the measured water level, and triggering adaptive calibration when the deviation shows statistical consistency, and using the sequential data assimilation algorithm to update the key weight coefficients of the mapping model online. The system corresponds to realize the above steps. The application improves the accuracy and adaptability of composite wetland water level and flow velocity simulation.

The application discloses an intelligent prediction method and device for a standard name of an automobile accessory and a storage medium, and comprises the following steps: standardized processing of original input of automobile accessory name data by a preprocessing module, and realizing data batch arrangement function through a four-stage processing pipeline; the feature processing module is used for realizing double-path feature fusion; the fusion classification module is used for realizing a multi-modal feature self-adaptive fusion mechanism based on a dynamic feature fusion algorithm of attention weight; and is responsible for classification decision after semantic feature and term feature fusion; the knowledge base management module realizes dynamic classification tree construction, supports structured storage and dynamic update of knowledge; the application realizes organic combination of semantic analysis and industry term features by constructing a double-path feature fusion mechanism. The system establishes a dynamic knowledge base management mechanism, establishes association mapping of the standard name and related terms and typical samples, triggers an artificial review process through a confidence threshold, and realizes continuous accumulation and update of knowledge.