54results about How to "Comprehensive protection" patented technology

The invention relates to the technical field of software application testing, in particular to an automatic intelligent testing system and method for software application. The method comprises the following steps: acquiring test environment parameters of software to be tested, calculating a dynamic waiting time reference value, and generating waiting mechanism configuration data; performing element positioning information collection and element positioning strategy generation on a user interface of the software application based on the waiting mechanism configuration data to obtain element positioning configuration data; performing conditional waiting strategy processing according to the element positioning configuration data and the waiting mechanism configuration data to generate conditional waiting mapping data; and performing visual AI auxiliary positioning processing according to the conditional waiting mapping data to generate visual positioning feature data. Through real-time monitoring of test environment parameters, the system automatically calculates and configures appropriate waiting time, so that the test process can flexibly adapt to various operation environments.

The invention discloses an intelligent power system remote monitoring device and a monitoring method thereof, relates to the technical field of intelligent power systems, and solves the problem that an original monitoring mode is not comprehensive and cannot identify whether the abnormity is caused by a voltage difference between power nodes. According to the method, voltage data of other power nodes associated with a current power node are analyzed, initial analysis is performed preferentially, whether voltage differences exist between the other power nodes and the current power node or not at the same moment is identified, then time delay confirmation is performed, and front-back translation adjustment is performed on voltage data lines associated with the other power nodes; on the basis of the specific adjustment process, the voltage difference data associated with the corresponding process is identified, so that whether the external abnormality is caused by the voltage difference or not is comprehensively evaluated, the processing mode of delay confirmation is adopted, the comprehensiveness of voltage data processing is guaranteed, the processing delay is considered, and the accuracy of data processing is improved.

The present invention provides an automated penetration testing method and system based on a network range, the method comprising the following steps: obtaining the running configuration information of the service to be tested, and using the recognition decision tree to classify it, sending the running configuration information of different categories to the corresponding vulnerability mining module for processing according to the recognition result, mining potential vulnerabilities and building a basic range; constructing a test plan based on the mined potential vulnerabilities and the acquired running configuration information; executing the test plan, and judging whether the test passes. The present invention saves time for repeated mining of repeated vulnerabilities through automated vulnerability mining and network range technology, and can conduct multiple groups of tests in different environments in parallel, uninterruptedly, and for a long time, and quickly discover security issues.

The invention discloses a transformer short-circuit impedance testing device, and relates to the technical field of impedance testing instruments.The transformer short-circuit impedance testing device is characterized in that a lifting mechanism is connected between a first box body and a second box body, a filter belt is connected between the first box body and the second box body, and under the control of the lifting mechanism, the filter belt is connected with the first box body; the first box body and the second box body can be separated from each other to be opened, and in cooperation with filtering isolation after the filter belt is unfolded and driving of cooling fans and turbofans in the first box body and the second box body to airflow, it can be guaranteed that internal heat dissipation is efficient and stable when the device is unfolded for use; the first box body and the second box body are closed under the control of the lifting mechanism, and the box cover is used for covering and locking, so that the device can be folded into a totally-closed box body structure during transportation and carrying, and efficient protection during transportation and carrying and efficient heat dissipation during use are both considered; and the flexibility and the stability of the device in the long-time use process are improved to a certain extent.

The invention belongs to the technical field of multi-scene patrol analysis management, and particularly discloses a multi-scene intelligent shooting patrol analysis management system for regional security and fire protection. Comprising a regional information recording module, a regional security monitoring module, a regional security analysis module, a regional hidden danger monitoring module, a regional hidden danger analysis module, a regional fire-fighting monitoring module, a regional fire-fighting analysis module, a regional early warning confirmation module and a regional early warning management terminal. According to the invention, the pertinence of regional monitoring analysis is guaranteed by analyzing the security and protection qualified index, the fire hazard qualified index and the fire hazard qualified index of each monitoring region, so that the discovery timeliness of potential problems is improved, and meanwhile, according to the security and protection qualified index, the fire hazard qualified index and the fire hazard qualified index of each monitoring region, the monitoring accuracy is improved. And the early warning item of each monitoring area is confirmed, so that the accuracy and effectiveness of early warning are guaranteed, and the management efficiency of area management is improved.

The invention provides a GLM-4-based unmarked course knowledge point graph construction method and system. The method comprises the steps of generating a first hierarchical structure of a knowledge point graph; according to the first hierarchical structure, performing document segmentation operation on the chapters and all levels of subordinate titles to obtain chapter independent units and hierarchical title independent units; performing data cleaning operation to obtain a preprocessed chapter independent unit and a preprocessed title independent unit; performing knowledge point acquisition operation, calling an application programming interface (API) of a GLM-4 model, giving a prompt instruction, and extracting knowledge points conforming to the outline from the preprocessing chapter independent unit and the preprocessing title independent unit by utilizing the GLM-4 model according to the prompt instruction; using a GLM-4 model to carry out noise removal operation to obtain de-noised data; comparing through a cosine similarity algorithm; and constructing a knowledge graph. The technical problem that knowledge is difficult to understand due to the fact that the knowledge point graph is too refined in granularity is solved.

The invention relates to a vibration test system and method for a GIS isolation switch. The system comprises a current booster, a GIS equipment loop and a plurality of vibration sensors. The current booster is sleeved on a shell of the GIS equipment loop and provides working currents with different magnitudes for the GIS equipment loop; the GIS equipment loop comprises complete GIS equipment, and specifically comprises an insulator and a GIS isolating switch; and the plurality of vibration sensors are arranged at insulators, connected with other cavities, of the cavity where the GIS isolation switch is located, and are used for capturing and measuring vibration signals around the GIS isolation switch. Compared with the prior art, the method has the advantages that the obtained test data is more accurate and more comprehensive, and synchronous measurement of vibration signals of the GIS isolation switch at multiple positions is realized.

The invention discloses an image compressed sensing reconstruction method and system based on dynamic convolution and feature fusion, and relates to the technical field of image processing, and the method comprises the steps: obtaining an original image to be subjected to compressed sensing reconstruction; the method comprises the following steps: inputting an original image into a trained image compressed sensing model, carrying out block sampling through a sampling subnet and an initialization reconstruction subnet in the model, extracting an initialization reconstruction feature map, inputting the initialization reconstruction feature map into a depth reconstruction subnet in the model, and carrying out parallel dynamic convolution branch and Transform branch to obtain a depth reconstruction feature map; the method comprises the following steps: respectively extracting multi-scale dynamic convolution local features and global features in sequence, fusing the two features with the same scale through a weighted feature fusion module, finally outputting fusion features of an image, and after reconstruction, outputting a high-quality reconstructed image by a model. According to the method, dynamic convolution and a Transform branch structure are adopted, and feature adaptive fusion is combined, so that the quality of a reconstructed image is effectively improved.

The invention discloses a glass fiber tape winding machine control system based on multi-dimensional sensor AI intelligent control, relates to the technical field of glass fiber tape winding machines, solves the problem that the glass fiber tape winding machine cannot achieve accurate control, and provides a glass fiber tape winding machine control system based on multi-dimensional sensor AI intelligent control. According to the method, the real-time monitoring result is monitored in real time, the rotating speed of the associated transmission shaft of the glass fiber belt winding machine is subjected to associated adjustment based on the specific real-time monitoring result, the distance between the glass fiber belts is effectively adjusted step by step based on the specific adjustment process, the good adjustment effect is achieved, the specific numerical value change processes of different stages are monitored in the subsequent adjustment process, and the adjustment accuracy is improved. Through the specific monitoring analysis result, the abnormal signals are locked and are subjected to associated display, whether associated abnormity exists in the corresponding glass fiber belt winding machine or not can be rapidly evaluated, and the abnormal signals are subjected to specific display for external personnel to check and process.

The invention discloses an industrial plant building health monitoring system, which relates to the field of plant building health monitoring and comprises a structural area division module, a load bearing data acquisition module, a load bearing safety analysis module, a connection safety influence coefficient analysis module, a plane structure analysis module, a health coefficient analysis module and a health assessment module. The related data of the bearing structure area, the connection area and the plane structure area corresponding to the target industrial factory building are systematically acquired, the comprehensiveness of data acquisition is guaranteed, and meanwhile, the bearing structures, the connection areas and the plane structures in the target industrial factory building are systematically analyzed specifically; the method improves the accuracy of the health judgment of the target industrial factory building, further improves the accuracy of the health judgment of the target industrial factory building in combination with the working types and working requirements corresponding to the target industrial factory building, and is beneficial to ensuring the production safety and prolonging the service life of the factory building.

The present invention discloses an enterprise security risk assessment system based on big data, which relates to the field of enterprise network security technology and solves the problem that the original network security assessment method is relatively single and the test is not comprehensive enough. The present invention targets the delayed test party locked in the time difference comparison and confirmation process, performs a delay test on such delayed test party, and identifies the specific interception time difference of the delayed test party by using an uninterrupted attack method, so as to analyze whether its delay meets the standard. For the related party that fails to meet the delay test standard, by identifying the utilization of the corresponding CPU in its processing process, it is determined whether there is a problem of uneven computing power distribution, and directly performs related display, so that the corresponding network maintenance party can quickly find the abnormal cause and perform related processing, which can not only achieve the overall effect of network security assessment, but also achieve specific identification of network problems and perform signal display.

The invention discloses a cloud sound box network pressure test method and system, and the method comprises the following steps: S1, obtaining the state information of a cloud sound box, and generating a test task according to the state information; wherein the state information of the cloud sound box comprises an equipment model of the cloud sound box; s2, setting a network mode of the cloud sound box according to the test task; s3, pushing a test message to the cloud sound box according to the test task, receiving the test message by the cloud sound box, and generating log data; and S4, performing data analysis on the log data, and generating a test report. The cloud sound box network pressure test provided by the invention can realize multi-dimensional test on each cloud sound box based on the equipment model and the network mode so as to ensure the comprehensiveness of the test result, and the method can realize real-time network state real-time monitoring on each cloud sound box and perform data analysis on the test result, so that the test efficiency is improved. Therefore, the operation, maintenance and optimization efficiency of the cloud sound box network is improved.

The invention discloses a graphite electrode defect detection system, and relates to the technical field of graphite electrode detection.The graphite electrode defect detection system comprises a product detection unit, a production detection unit, a detection output unit and a database; the method comprises the following steps: determining a quality data threshold value of a graphite electrode product in each scene, selecting a detection technology of a produced graphite electrode, detecting defects of the graphite electrode, analyzing a graphite electrode product processing scheme, and detecting the defects of the graphite electrode by using multiple detection technologies, so that the detection is more detailed and accurate; and meanwhile, the processing scheme of the graphite electrode is analyzed, so that the utilization rate of the graphite electrode is improved, the maximum utilization value of the graphite electrode is exerted, and the qualification of the quality of the graphite electrode in actual use is guaranteed.

The invention provides a regional integrated energy system material configuration prediction method and system based on a regression algorithm, and relates to the technical field of energy configuration prediction.The method comprises the steps that historical operation data, environment data and equipment operation data of a regional integrated energy system are collected; carrying out time sequence fusion on the transportation volume, the coal yield and the generating capacity data to form a plurality of time sequence vectors; clustering analysis is carried out on the time sequence vectors to extract typical load curve features and generate clustering center feature vectors, and meanwhile key influence factors are determined based on historical data; and in combination with the clustering center feature vector and the key influence factor, generating a preliminary prediction result, finally performing nonlinear correction, and outputting a configuration prediction scheme conforming to the physical constraint of the regional energy network. According to the invention, the accuracy and adaptability of material allocation prediction of the regional integrated energy system are improved.

The present invention discloses a test system and a test method for a high-resistance grounding identification device in a distribution network. A mixed waveform method is adopted to randomly mix real waveforms, simulated waveforms and interference waveforms. The authenticity of the fault waveform is guaranteed based on the measured real waveform, and the simulated waveform ensures the comprehensiveness of the fault environment. Meanwhile, the interference model is taken into consideration, and the anti-interference performance of the device during actual operation can be verified. The recognition accuracy, misjudgment rate and missed judgment rate analysis of the high-resistance grounding identification device under various fault environments are realized, and a reliable basis is provided for the research and development and delivery of the high-resistance grounding identification device, and the technical problem that the existing test methods based on real-time digital simulators and the test methods based on distribution network real laboratories are difficult to meet the requirements of fitting practical applications and flexibly adjusting fault waveforms is solved.

This invention relates to the field of talent training quality assessment technology in medical and pharmaceutical colleges, and discloses a big data closed-loop assessment system for talent training quality in medical and pharmaceutical colleges. The system includes: a data acquisition module to collect multi-source training data; a preprocessing and fusion module to construct a talent training quality dataset; a big data closed-loop assessment module containing three-level indicator construction, multi-dimensional assessment, and result analysis units to complete the assessment and generate personalized reports; an intelligent feedback module to push and visualize the assessment results; a training optimization module to adapt rigid constraints and transform them into optimization measures; and a system iteration module to ensure the assessment system is updated synchronously with the pharmaceutical industry. This invention constructs a full-link closed loop, solving problems such as assessment disconnect and low accuracy, improving the quality of talent training and its industry adaptability, and adapting to the characteristics of medical and pharmaceutical college training.

The utility model discloses a modularized cylindrical protection device, and relates to the technical field of mechanical transmission safety protection, in particular to a modularized cylindrical protection device suitable for a coupler between a centrifugal pump and a driver. The device is arranged outside a coupling between a centrifugal pump and a driver; the modularized cylindrical protection device is fixedly connected with the centrifugal pump through the detachable supporting plate module. The modularized cylindrical protective device is a protective cover main body. The shield body is of a cylindrical structure formed by bending a plate-shaped structure with certain strength, and the plate-shaped structure is connected into the cylindrical structure in a fastened mode through the fast-assembly fastening unit. The shield body is fixedly connected with the centrifugal pump through the detachable supporting plate module. A hasp type maintenance skylight module is arranged on the shield main body; and a replaceable lengthened section module is assembled on the shield main body. According to the technical scheme, the problems that in the prior art, installation is complex, protection performance is insufficient, and maintenance is inconvenient are solved.

The application relates to the technical field of point cloud data processing, and specifically discloses a UAV point cloud original piece data processing system with a grading naming function; the system comprises the following modules: a boundary division module generates a rectangular boundary suitable for a terrain and screens a to-be-graded original piece; a grading identification module constructs geometric constraints based on a projection distance, completes tower distribution through extreme value judgment and parallel scene processing rules; a naming adaptation module integrates multi-source data to construct a scene feature vector, divides a risk range through clustering, realizes differential naming by adopting multi-source filling and normalization sorting; a feedback checking module locates a preferential analysis interval through deviation analysis, constructs a space neighborhood group and judges a high-risk area, and replaces an original algorithm to complete grading renaming and closed-loop checking by adopting a space index-hash mapping method; the application realizes dynamic optimization of point cloud grading naming, improves grading precision and naming compliance, and provides data support for power transmission line operation and maintenance.

The invention discloses an intelligent fault studying and judging method for a distribution line of an unmanned aerial vehicle, and relates to the technical field of line detection, and the method comprises the steps: classifying each segment according to the environment and fault record of each segment in the distribution line, and determining a detection equipment set of each segment according to a classification result; meanwhile, according to the environment, the detection difficulty and the distance in each segment, the sequence of each segment is determined, then routing inspection is performed, after routing inspection is finished, whether data abnormity exists in each segment is analyzed by using routing inspection data, then associated data corresponding to the data abnormity is analyzed, then secondary routing inspection is performed, and targeted detection is performed on a line. The line inspection comprehensiveness and efficiency are improved, a more reliable basis is provided for fault analysis and diagnosis, the fault recognition accuracy is improved, and the unmanned aerial vehicle inspection effect is improved.

According to the enterprise data simulation analysis method and system based on the multi-role agents and the server provided by the scheme, the agents adaptive to different service roles are constructed, the role exclusive knowledge base and the reasoning weight matrix are dynamically configured, and classification matching and task splitting are performed on the to-be-analyzed problems in combination with the service scene features; optimal allocation of task and role intelligent agents is achieved, then the discussion process is managed through a state machine mode, viewpoint integration and divergence processing are completed, and an analysis conclusion is output. According to the method, the suitability and efficiency of enterprise data simulation analysis are effectively improved, the comprehensiveness, accuracy and reliability of analysis conclusions are guaranteed, more accurate and effective data support can be provided for enterprise decision making, and the robustness of enterprise data simulation analysis is further improved.

The invention provides a procurement process configuration method and system in the technical field of process information processing. The method comprises the following steps: S1, analyzing a historical procurement process file to obtain a plurality of historical procurement nodes; step S2, the server creates components based on each historical purchasing node, configures component functions of each component, and stores each component in a component library; s3, combining the components and setting a logical relationship to create purchase scenes, and storing the purchase scenes in a component library; s4, displaying a purchase process configuration panel through a visual interface; s5, selecting the components in the component library or the purchasing scene through the purchasing process configuration panel, configuring the logical relationship and the component parameters, and generating a configuration file of the purchasing process; and S6, performing online publishing on the configuration file. The method has the advantages that the convenience and quality of purchasing process configuration are greatly improved, and the timeliness of purchasing information transmission is greatly improved.

The application discloses a universal heat preservation and fresh-keeping, anti-corrosion and oxidation, anti-freezing and cold isolation, nitrogen cavity protection system, which comprises a single-layer or double-layer inner cavity inner container heat insulation cavity, a gas path assembly, an external flexible gas source capsule and an optional intelligent sensing module. The cavity is a closed and sealed inner cavity structure, can be filled with 95%-99.99% micro-positive pressure nitrogen or a small amount of liquid nitrogen, and is suitable for a wide temperature environment of-45 DEG C to 95 DEG C. The system is matched with a gas filling nozzle and a colloidal air pressure plug with a selectable one-way air inlet function, and a detachable dustproof and air leakage prevention cover can be arranged on the outside of the micro-porous hole. The sealing plug assembly is provided with an independent sealing rubber ring, and external air is isolated after being closed. The external flexible capsule is a selected structure, can balance the pressure in the cavity, and can intuitively judge whether the cavity leaks or not by relying on the shape. The system divides the nitrogen filling area into single-layer cavity and double-layer inner cavity inner container two types, and is suitable for multiple scene use. The optional temperature and pressure and air tightness sensors are wirelessly connected with a mobile phone for remote monitoring. The system can realize multiple nitrogen protection, supports repeated nitrogen supplement and maintenance in the later period, has strong universality and is convenient to maintain.

The application relates to the technical field of shield machine construction equipment detection, in particular to a shield tail sealing detection system; the shield tail sealing detection system comprises sequentially carried out grease cavity scanning detection, tail brush visualization detection, grease cavity visualization detection, overflow grease component analysis detection, grease quality detection, grease injection detection, grease system state tracking confirmation, macroscopic detection and comprehensive analysis; the shield tail sealing detection system has the advantages of realizing multi-dimensional comprehensive detection, improving detection precision and predictability and guaranteeing the comprehensiveness of shield tail sealing state evaluation.

The invention discloses an anti-error verification method for dispatching operation of a power distribution network, relates to the technical field of power distribution networks, and solves the problem that shunting conditions among different lines are not analyzed. According to the method, numerical evaluation analysis is carried out on related conditions of line convergence, a related numerical trend interval is determined, and whether a change trend of a corresponding electric power numerical value belongs to the numerical trend interval or not is evaluated based on the electric power numerical value generated in an actual operation process, so that line verification in a corresponding power grid dispatching process is completed. And whether the corresponding line has relevant abnormity is identified and calibrated in time, and countermeasures are taken in time, so that the comprehensiveness in the anti-error verification process is ensured.

The invention discloses a wafer microscopic detection system, relates to the technical field of wafer detection, and aims to solve the problems of low efficiency, easy misjudgment and easy secondary damage of a wafer in traditional detection. The system comprises a workbench, a mechanical arm is arranged on the workbench, and a suction cup is arranged at the end of the mechanical arm; a wafer classification bin, a macro detection device, a micro detection device and a recognition device are further arranged on the workbench, and all the devices are located in the motion path range of the mechanical arm. Wherein the wafer classification cabin comprises a plurality of wafer cabins and is used for storing wafers of different types and states; the recognition device comprises an image acquisition fixing frame, image acquisition equipment and a light source; the macro detection device comprises a rotating device and an image acquisition device, the rotating device is provided with a drivable clamping plate with a wafer positioning groove, and the image acquisition device is arranged on a wafer rotating path; the micro-detection device comprises a three-dimensional moving platform and a microscope. The three-dimensional moving platform is used for moving the wafer between the rotating device and the microscope. The system realizes automatic and efficient wafer detection, improves the detection precision and efficiency, and reduces the wafer damage risk.

The invention discloses a satellite data traffic measurement method and system, and belongs to the technical field of satellite networks. In order to solve the problems of poor satellite network flow measurement precision and high complexity in the prior art, the invention provides a satellite data flow measurement method, which comprises the following steps: determining a satellite node for data flow measurement, and initializing a configuration probability data structure algorithm and an imitation learning algorithm; sampling network flow in a period of time, judging whether a data flow jitter value in the period of time exceeds a threshold value or not, and if the data flow jitter value exceeds the threshold value, generating a flow value according to a label value and an expert strategy by utilizing an imitation learning algorithm; if not, using a probability data structure algorithm to measure and record a label value, and generating an expert strategy according to the label value; and completing measurement. According to the method, resource utilization is reasonably optimized while the measurement accuracy is improved, high-precision and high-timeliness satellite flow measurement is achieved through mutual complementation of the probability data structure algorithm and the imitation learning algorithm, and the method is low in hardware dependency, high in precision, high in intelligence and high in adaptability.

This application provides a method and system for joint query analysis of multimodal data supporting natural language interaction, relating to the technical field of data query analysis. This application collects historical operation data, audio data, and text data from an intelligent search platform supporting natural language interaction; then models the historical operation data to obtain a user preference vector; processes the audio data through speech recognition and text standardization to obtain standard query data, and integrates it with the text data to form contextual information; then uses an attention-based algorithm for semantic understanding and intent recognition to obtain an intent feature vector, and fuses it with the user preference vector to obtain a classification result; finally, based on this result, a collaborative filtering algorithm is used to query a pre-set multimodal database to obtain joint query results. This enables personalized and accurate querying of multimodal data under natural language interaction, ensuring that the results match user intent and long-term preferences.

The utility model relates to the technical field of dust collection, and discloses a dust collection device for occupational health detection, which comprises a box body and a frame plate arranged in the center of the box body, a screen is arranged in the center of the frame plate, and an air deflector and an air suction plate are respectively and additionally arranged on two sides of the screen; a dust collection head is arranged outside the box body, the air outlet end of the dust collection head is communicated with an air inlet pipe, the air outlet end of the air suction plate is communicated with an exhaust pipe, and a suction fan is installed outside the box body; guide rods and screws are arranged on the two sides of an inner cavity of the box respectively, belt wheels are installed at the bottom ends of the screws, a transmission belt is installed between the belt wheels, and a driving motor is installed on the upper portion of the box. Connecting blocks are arranged on the two sides of the air guide plate and the air suction plate; the device can drive the screw rod to rotate through the driving motor, so that the connecting block drives the air guide plate and the air suction plate to lift and adjust the corresponding positions of the air guide plate and the air suction plate and the screen, the situation that other parts cannot play a filtering role after the screen is partially blocked is avoided, and the filtering comprehensiveness of the screen is guaranteed.

The present application belongs to the field of electric power communication technology, and specifically discloses a mobile terminal based on a public network and an electric power wireless private network, including: an electric power private network business system, a public network business system and a system manager, wherein the electric power private network business system and the public network business system are respectively operated in a first container and a second container, and the physical hard disk partitions allocated to the first container and the second container are two different partitions; the system manager is used to receive target input, and in response to the target input, control the terminal display to display the user interface corresponding to the business system in the display state; the electric power private network business system is used to process the electric power private network business data, and transmit the data through the electric power wireless private network; the public network business system is used to process the public network business data, and transmit the data through the public network. By combining data isolation and responding to system switching requirements, the present application can achieve the security isolation between the public network business and the electric power private network business on the terminal, while taking into account the convenience of switching between systems.