28results about How to "Solve misjudgment" patented technology

This invention provides a test method for determining injection fusion in multiple injections of a high-pressure common rail system, comprising the following steps: S1. Constructing a high-pressure common rail system injection pattern test system to test the injection pattern of two injections: pre-injection + main injection; S2. Constructing a high-speed photography direct-view test system for the injection process of the high-pressure common rail system to test the spray development characteristics under injection intervals; S3. Processing the images of the spray development process of multiple injections of the high-pressure common rail system, and repeating the spray development characteristic test until the fuel sprays of the two injections merge. The test method for determining injection fusion in multiple injections of a high-pressure common rail system described in this invention employs a spray visualization test method, obtaining the actual development process of real fuel spray in the cylinder, which can accurately determine whether actual fuel spray fusion has occurred in the cylinder, solving the problem of misjudgment of injection fusion based on control signals and injection pattern curves.

This invention provides a method and system for constructing a negative obstacle risk map, relating to the field of robot environmental perception technology. The method includes: acquiring multimodal sensing data of a legged robot in the current operating environment to obtain the types of negative obstacles, multiple candidate regions, and the corresponding confidence and uncertainty of each candidate region; using a risk diffusion algorithm, performing ink blurring processing based on the type, confidence, and uncertainty to generate a continuous risk field corresponding to each candidate region; dividing the continuous risk field to generate a continuous risk gradient distribution corresponding to each candidate region; performing terrain modeling based on laser point clouds, updating the continuous risk gradient distribution using Bayesian fusion to obtain a multi-level grid map, and then performing tactile closed-loop correction on the multi-level grid map to generate a risk cost map. This invention improves the accuracy of constructing a negative obstacle risk map.

The present application relates to a kind of detection method and system for air bag bag production, it is related to the field of automobile passive safety technology, it includes obtaining current process number;Determine current tool number;Call in report record;Call in tool use information;Analysis report record and tool use information, to output abnormal reason;Real-time acquisition global overhead view and air bag fabric side view;Determine air bag fabric fluctuation point;Frame select air bag fabric fluctuation point corresponding fluctuation area;Determine fluctuation area height feature;Determine fluctuation area texture feature;Determine coating thickness anomaly, and output defect air bag bag signal;When there is no coating thickness anomaly, determine wrinkle area;When there is wrinkle area, execute flattening operation, and re-execute step 9 to step 12;When there is still wrinkle area after flattening operation, determine permanent wrinkle and output defect air bag bag signal.The present application has the effect of timely maintenance to tool and accurate traceability abnormal point in production process.

This invention relates to the technical field of deep integration of radio frequency identification (RFID) technology, indoor positioning technology, and intelligent algorithms. It discloses an RFID point-to-point positioning method and system that integrates inspection behavior characteristics. The method includes: within a single scanning cycle, using a mobile reading terminal to read multiple RFID tags and collect the identification information and multi-dimensional signal characteristics of each tag, including signal strength, TOA timestamp, and reading frequency; based on signal strength and reading frequency, eliminating invalid tags to obtain a candidate tag set; when the candidate tag set contains multiple tags, automatically determining a unique target tag from the multiple tags using a progressive judgment logic, where the inspection route information includes the order of each inspection node and its corresponding path weight; and outputting the physical location corresponding to the target tag as the current location. This invention fundamentally solves the technical problem of not being able to automatically distinguish valid locations when multiple tag signals conflict in traditional RFID tag-based positioning.

This invention relates to the field of packer testing technology, specifically to a device for testing the airtightness of packers. The device includes a mounting base with a transparent water tank on its upper surface. A vertical lifting assembly is mounted on the mounting base, with its upper end extending outside the mounting base and fixedly mounted with a connecting block. One end of the connecting block is fixedly connected to a mounting plate, on which an air compressor is fixedly mounted. The other end of the connecting block is fixedly connected to a support block. A rotating hole is formed inside the support block, and a storage tube is rotatably connected to the rotating hole via a bearing. The storage tube is filled with an environmentally friendly water-based marking solution. The packer is quickly fixed via a threaded joint. A push plate and positioning rod control the entry of the marking solution. The sealing performance is visually assessed using the conspicuous, water-insoluble marking solution, air compressor pressurization, and the transparent water tank. A filter membrane separates the marking solution from the water; both are recyclable, residue-free, and environmentally friendly.

This invention relates to the field of intelligent manufacturing and industrial data analysis technology, specifically to a method, system, and storage medium for identifying production bottlenecks based on multi-dimensional data fusion. The method includes: acquiring production data and constructing a multi-dimensional data vector; updating the weights of a linear prediction model based on the multi-dimensional data vector; performing multi-dimensional data fusion using the updated weights to obtain a comprehensive index value; obtaining a production bottleneck severity score based on the comprehensive index value; determining the production bottleneck status based on the production bottleneck severity score and the comprehensive index value; and identifying factors influencing the production bottleneck based on weight changes. This invention dynamically adjusts the weights using a gradient descent method to score the bottleneck, and dynamically updates the judgment threshold using an exponentially weighted moving average. Finally, it performs multi-dimensional cause analysis by comprehensively considering the weight contribution, change trend, and data anomaly, achieving adaptive and accurate location and cause identification of production bottlenecks.

This disclosure provides a security detection method, apparatus, storage medium, and electronic device based on a large model, relating to the field of network security technology. The method includes: acquiring training sample emails to train a Bayesian classifier, determining the trained Bayesian classifier; using the trained Bayesian classifier to detect emails to be detected, determining a first detection result; if the first detection result is in a first detection interval, determining structured prompt words based on the first detection result; inputting the structured prompt words into a locally deployed large language model, determining the output result of the large language model; and performing either allow or block actions on the emails to be detected based on the first detection result and the output result of the large language model. This achieves accurate email identification.

The application relates to the technical field of wireless communication and data transmission, and discloses a main-backup link digital transmission control method and system of an intelligent fusion terminal, wherein the method comprises the following steps: acquiring multi-dimensional observation parameters of a main link and a backup link and constructing a normalized vector; forming a main-backup link fusion score; constructing short window and long window exponential average values; calculating a score residual, a degradation energy quantization value and a cumulative degradation amount; generating a pre-switching control parameter; performing shunt transmission of a service packet; and completing session context migration and old link release. Compared with the link switching mode depending on received signal strength in the prior art, especially under high-speed movement and base station boundary switching conditions, the technical problems of mis-switching or switching lag are prone to occur. Due to the dynamic weighted fusion score of the multi-dimensional normalized parameters and the score prediction based on trend extrapolation, the application realizes forward-looking identification and predictive switching of the link state.

The utility model relates to a head and tail plate bolt unscrewing turn number counting misjudgment prevention mechanism which comprises a pneumatic hammer (7) used for driving a special sleeve (1) arranged at the front end of the pneumatic hammer (7) to rotate, and a counting sensing structure is further arranged at the front end of the pneumatic hammer (7). The special sleeve (1) is provided with a characteristic through hole (8), and the counting sensing structure is used for conducting signal sensing processing on the characteristic through hole (8) and recording the number of turns based on the obtained signal. According to the head and tail plate bolt unscrewing turn number counting misjudgment prevention mechanism, through the arranged counting sensing structure, the number of rotation turns of a pneumatic hammer can be accurately recorded, the problem that under the condition that a nut is still not moved, the nut is misjudged to be rotating by the turn number counting sensor is solved, the misjudgment problem can be effectively solved, and certain application value is achieved.

The embodiment of the application provides a kind of based on cloud computing's electrical equipment monitoring data processing method and system, it is related to electrical equipment monitoring data processing technical field, method includes receiving data packet from edge computing node;According to the historical clock data of the edge computing node of data packet, calibration time and network transmission characteristic parameter, the time stamp confidence interval of data packet is determined to dynamically adjust data collection window, and event snapshot is obtained;The event correlation strength between the data packet collected in event snapshot is calculated, and according to the overlap degree of event correlation strength and time stamp confidence interval, the data packet with high correlation strength is obtained and the data packet with high correlation strength is preferentially aligned;Based on the data packet with high correlation strength after alignment, reconstructs equipment working condition snapshot, and equipment working condition snapshot is output to equipment health assessment system.The application can improve the accuracy of equipment health assessment and the timeliness of early warning.

The application provides a water turbine generator bearing oil pump outlet check valve fault diagnosis method and system based on a backflow abnormality index, and belongs to the technical field of water turbine generator equipment state monitoring and fault diagnosis, and comprises the following steps: collecting unit operation conditions and bearing oil system key measuring point data; pre-processing the collected data and identifying the unit operation state; verifying the cooling side operation condition by using the related measuring points of the cooling water system; extracting the oil temperature and bushing temperature characteristics in the operation state, and extracting the oil level characteristics in the shutdown state; establishing a normal operation interval according to the evaluation data window and the reference data window, calculating the oil level degradation degree, the oil temperature degradation degree and the bushing temperature degradation degree, and constructing the backflow abnormality index through weighted fusion. According to the backflow abnormality index, the pump outlet check valve blockage or failure to close tightly in the bearing oil system can be identified. The application can realize fault diagnosis by using the existing monitoring data of the unit.

The application relates to the technical field of anti-cheating analysis, in particular to an anti-cheating method based on client behavior analysis, which comprises the following steps: dividing a game process into multiple time periods, calculating high-frequency operation strength by combining statistical feature differences, fluctuation amplitudes and click densities, and screening high-frequency operation time periods by clustering to extract operation shock strength; dividing virtual joystick states based on non-cheating user behaviors, marking outlier operations according to state switching time length and preset response time value range matching conditions, and constructing operation outlier degrees; and fusing game service data, operation shock strength and operation outlier degrees to form a feature vector, and using an isolation forest model to perform anti-cheating judgment on a user to be detected. The application solves the problem that existing plug-in detection methods rely on static thresholds and ignore actual running states of devices, which leads to the inability to effectively identify hidden cheating and a high misjudgment rate, and improves the accuracy of anti-cheating behavior monitoring.

The embodiment of the application provides an evaluation method and device for planning accuracy of a large model, wherein the evaluation method is executed by an evaluation system, and the evaluation system can obtain target query information used for indicating that a large model online executes a target planning operation; then, based on the target query information, a to-be-evaluated model is driven to perform multi-round interaction with a test interface library and obtain a predicted path sequence, and the multi-round interaction process is used for simulating multi-step planning behavior of the large model online executing the target planning operation; based on this, multi-dimensional evaluation is performed on the predicted path sequence according to a preset reference path sequence and multi-dimensional constraint information thereof, and a corresponding multi-dimensional evaluation result is obtained, so as to realize comprehensive evaluation of planning accuracy of the to-be-evaluated model.

This invention discloses a lightning potential forecasting method integrating cloud microphysical conditions, belonging to the field of lightning potential forecasting technology. It involves acquiring numerical weather prediction data for a target area, constructing a cloud microphysical dynamic-water vapor coupling index for the target area, and determining the meteorological forecast results for the target area based on the cloud microphysical dynamic-water vapor coupling index. Based on the meteorological forecast results, convection parameters for the target area are extracted, and convection information for the target area is obtained through comprehensive analysis. Based on the convection information, mixed-phase cloud microphysical parameters for the target area are extracted. Based on the mixed-phase cloud microphysical parameters, collision intensity characterization parameters for the target area are determined. The collision intensity characterization parameters are then corrected for charge separation capability based on numerical weather prediction data to obtain an effective collision intensity index for the target area. Based on the effective collision intensity index, the lightning potential index for the target area is determined, and the lightning potential information for the target area is output, thus improving the accuracy of lightning potential forecasting.

This utility model discloses a paper and glass suction structure, comprising: a suction cup frame, a fixed plate disposed at the bottom of the suction cup frame, a plurality of glass suction cup assemblies and a plurality of paper suction cup assemblies disposed on the suction cup frame and penetrating the fixed plate, a detection mechanism, and a robotic arm; the arm of the robotic arm is connected to the suction cup frame and is used to drive the suction cup frame to move; the detection mechanism is disposed on the fixed plate and is used to detect whether the object to be suctioned is white paper or transparent glass; the plurality of paper suction cup assemblies and glass suction cup assemblies are disposed on the same surface of the fixed plate, wherein the paper suction cup assemblies are used to suction white paper and place it into an external cardboard box stack by the robotic arm; the glass suction cup assemblies are used to suction transparent glass and place it into the external washing machine loading area by the robotic arm. This utility model reduces the time and labor intensity of manual operation through automated suction and placement actions, thereby improving overall production efficiency.

This application discloses a task evaluation method, electronic device, and program product, relating to the field of artificial intelligence technology. The method includes: determining the task evaluation result of the target intelligent agent for the first task based on the execution trajectory information of the target intelligent agent for the first task and standard trajectory information matching the first task; wherein the trajectory information is used to characterize the logical dependencies between the processing steps of the first task. This application can improve the accuracy of task evaluation.

The utility model discloses a kind of wall control switch signal coding and power-down misjudgment protection chopper circuit, including optocoupler U1, the output end 1 interface of optocoupler U1 is connected with the one end of resistance R24, the input end 3 interface of optocoupler U1 is connected with the 1 interface of TVS tube DB2, the 2 interface of TVS tube DB2 is connected with the one end of resistance R26, the one end of capacitor C6 and the gate 3 interface of transistor Q3, the input end 4 interface of optocoupler U1 is connected with the one end of resistance R27;The utility model realizes reliable state identification by chopping coding, solves misjudgment problem;Utilize chopping or not chopping combination to realize multi-bit data communication;Design anti-interference communication protocol;Support multi-key combination coding;Effectively avoid the influence of residual electricity, reduce misjudgment condition.After introducing chopper circuit, provide more selection space, improve the function of switch.The simple chopping communication mode can realize more functions, and improve the stability and reliability of system.

This invention relates to the field of data fusion processing technology, specifically disclosing an ultrasonic water meter anti-theft method based on multi-sensor fusion and multi-level response. This invention achieves comprehensive detection of various water theft behaviors such as magnetic interference, physical damage, and casing deformation through a sensor monitoring network; accurately identifies the type and severity of anomalies through multi-source information fusion and intelligent level judgment; securely protects communication data through encryption authentication and rolling code mechanisms; and implements differentiated handling from record keeping and remote alarm to valve shut-off through a hierarchical linkage response mechanism, effectively improving the comprehensiveness of ultrasonic water meter anti-theft monitoring and the adaptability of response handling.

The present application relates to the security monitoring technical field, specifically to a kind of automatic sound positioning security monitoring method, equipment and storage medium.It includes the following steps:S1, the sound signal in monitoring area is collected;S2, current time information is obtained, and current time slot is determined according to preset time slot division rule;S3, the white list sound category subset corresponding to current time slot is loaded;S4, the sound feature vector is input into sound recognition model;S5, the identification result is matched with current effective white list, preset blacklist and preset red signal category;S6, the statistical data of sound event in each time slot is recorded.Through the introduction of time slot mechanism, static white list is upgraded to dynamic white list matrix of time dimension, so that the system can automatically adapt to the background sound change in different time periods, effectively reduce the false alarm rate in night and other special periods.

The present application relates to the technical field of prediction analysis, and particularly relates to a multi-parameter data joint prediction method and system. The method comprises the following steps: obtaining multi-source heterogeneous data and performing joint driving variable decoupling to separate external driving factors from state representation; performing dynamic evolution processing based on the data, extracting state derivatives, and constructing a nonlinear driving operator to represent the driving and state change relationship; using the driving operator to reconstruct the transition field of the state space, forming a continuous evolution field, and performing state boundary analysis based on the same to obtain state partition; performing topological structure analysis on the state partition, extracting critical topological features, and identifying system critical turning points to obtain risk mutation data; performing future evolution deduction based on the risk mutation data to output joint prediction data. The present application improves the accuracy of system evolution prediction by constructing a nonlinear driving operator and a state transition field, and combining topological structure analysis to realize critical turning point identification.

The present application relates to the technical field of vehicle-mounted human-computer interaction, and provides a vehicle-mounted multi-modal human-computer interaction method and system, which comprises the following steps: based on a specific change state, adjusting the collection parameters and processing mode of a visual input signal to improve the quality of the visual input signal, obtaining an adjusted visual input signal; at the same time, adjusting the preprocessing parameters and processing mode of a voice input signal to improve the quality of the voice input signal, obtaining an adjusted voice input signal; according to the influence degree of the environmental state judgment result on the visual input signal and the voice input signal, adjusting the weight of the visual input signal and the voice input signal in the judgment of the driver's intention, obtaining a modal weight; comprehensively processing the adjusted visual input signal, the adjusted voice input signal and the modal weight to judge the operation intention of the driver, and outputting an operation intention judgment result. The present application has the effect of improving the accuracy and safety of vehicle-mounted human-computer interaction.

The application discloses a motor state monitoring method and system based on big data, and particularly relates to the technical field of motor testing, which comprises the following steps: reading a real-time rotating speed of a motor to calculate a rotating speed variation, adjusting a multi-parameter acquisition period based on a threshold comparison result, and marking a unified timestamp; calculating a timestamp deviation of parameters in the same batch, screening time sequence effective parameters, and sorting; grouping according to parameter types, assigning the same time sequence node to parameters with the same timestamp, and generating a time sequence parameter package through parallel processing; and performing a ratio operation on the parameters and rated parameters to complete state determination. The motor state monitoring method and system based on big data solves the problems of asynchronous parameter acquisition and excessive redundant data under variable working conditions through linkage acquisition and whole-process time sequence control, improves data reliability and determination accuracy, and adapts to the monitoring requirements of the whole life cycle of the motor.

The application is suitable for the technical field of hierarchical early warning, and discloses an open-pit mine slope multi-source monitoring intelligent hierarchical online early warning system and method, which comprises: a collection module: collecting slope multi-source monitoring data and mine area personnel positioning data, and acquiring real-time environmental parameters of the mine area; and an instability judgment module: predicting a slope deformation trend based on the multi-source monitoring data, and dynamically generating adaptive hierarchical early warning threshold values according to the influence degree of the real-time environmental parameters on the slope stability. The application constructs a passing topological graph based on the adjacency relationship of sub-regions, removes nodes and edges with a comprehensive risk value greater than a safety threshold value, uses distance and average risk weighted summation as edge passing cost, and plans an optimal evacuation route with the minimum cumulative passing cost from a starting point to a target point as the target. The application ensures that the generated evacuation route can not only avoid extremely high risk areas, but also take into account the evacuation distance, and fundamentally guarantees the safety and timeliness of personnel evacuation.

Embodiments of the present disclosure provide a text similarity matching method and device, equipment, medium and program product, relating to the technical field of computer. The method comprises: obtaining a first text and a second text; on the one hand, a syntax analyzer is used to mark the syntax attribute of each word segmentation, and then the semantic similarity between the two texts is calculated; on the other hand, a conditional random field is used to mark the key label of each word segmentation, and then the key similarity between the two texts is calculated; according to the comparison of the key similarity and the fusion threshold, the first fusion weight and the second fusion weight are determined; based on the first fusion weight, the second fusion weight, the semantic similarity and the key similarity, the similarity between the first text and the second text is calculated. The method separates the calculation of semantic similarity and key similarity, solves the misjudgment problem caused by confusing sentence structure and entity semantics, and improves the robustness and accuracy of text similarity matching in complex business scenarios.

The application discloses an old-age anti-fraud prevention and control intelligent assistant platform based on artificial intelligence and belongs to the technical field of network security.The platform comprises a website security evaluation module, a user behavior analysis module, a matching judgment module and a behavior risk protection module; the website security evaluation module collects website text data, determines whether a website is related to fraud after extracting fraud risk features by means of a fraud risk category model; the user behavior analysis module obtains user mobile phone daily behavior data, divides group categories and establishes individual behavior baselines; the matching judgment module performs matching analysis on the operation behavior data of the old-age group on the related fraud websites and the individual behavior baselines, generates a behavior risk score, and triggers the behavior risk protection module when the behavior risk score exceeds 30 points; and the behavior risk protection module immediately forcibly terminates the related operation and sends an alarm.The application can effectively prevent and control network frauds suffered by the old-age people and improve the anti-fraud protection capability through the collaborative work of the multiple modules.

This invention relates to a priority assessment system for the removal and restoration of coastal enclosures, belonging to the field of coastal restoration technology. The system aims to address the problems of data acquisition being constrained by tides, the use of single assessment parameters, and the failure to consider ecological connectivity in priority assessments in existing technologies. The technical solution includes: automatically collecting data during the low tide safety window using a UAV equipped with a multispectral sensor and lidar; calculating the dike damage coefficient, ecological restoration coefficient, and seaward depth based on multi-source data; and generating a total priority score for removal using an assessment model coupled with the nonlinear decay effect of ecological connectivity. This system can scientifically quantify the priority of enclosure removal, providing decision support for coastal wetland ecological restoration projects.

The invention relates to the technical field of power system state monitoring, and particularly discloses an MMC capacitor state evaluation method and system based on voltage increment and health score, and the method comprises the steps: respectively determining the starting time and the ending time of an input window; calculating the capacitance voltage increment of each sub-module in the input window; calculating the health score increment of each sub-module in the current input window according to the capacitor voltage increment sequence of each sub-module in the bridge arm; after each input window is ended, accumulated updating is carried out on the health score of each sub-module according to a sub-module voltage increment sorting result in the input window; identifying an abnormal sub-module based on the health score of each sub-module; and selecting a reference sub-module, and calculating the capacitance parameter of the abnormal sub-module based on the capacitance voltage increment and the capacitance parameter of the reference sub-module during the input window period. According to the invention, the voltage increment of the sub-modules is used as a criterion and does not depend on the voltage difference between the sub-modules, so that the problem of misjudgment caused by the initial voltage difference can be avoided.