23results about How to "Realize intelligent judgment" patented technology

The invention discloses a floating object analysis and disposal method, device and equipment, a computer storage medium and a program product. The method comprises the steps that river and lake hydrograph data, monitoring images and acquisition coordinates are acquired; extracting and identifying the features of the image to obtain the type and volume of the floating object and the distance from the floating object to the river bank; calculating the flow velocity and flow direction of the water according to the river and lake hydrograph data and the relationship between the flow velocity and flow direction of the water; simulating the movement process of the floaters according to the collection coordinates of the floaters, the distance from the river bank and the water flow velocity and flow direction to obtain the movement track of the floaters; respectively inputting the river and lake hydrograph data, the volume and the motion trail of the floating object, the flow velocity and the flow direction of the water body and the type of the floating object into a flood discharge analysis model and a water quality analysis model to obtain a flood discharge influence area and a water quality influence area; and obtaining the disposal position and the disposal time of the floating object according to the floating object movement track, the flood discharge influence area and the water quality influence area. According to the embodiment of the invention, intelligent judgment of the influence range and the disposal mode of the floating object is realized.

The invention relates to the technical field of automobile part machining control, and discloses an automobile part production monitoring method and system, and the system comprises an automobile part machining welding spot feature recognition module, an automobile part machining welding spot state analysis module, and an automobile part spot welding process parameter adjustment module. According to actual coordinate parameters and theoretical coordinate parameters of the body-in-white part machining welding spots, coordinate error parameters of the body-in-white part machining welding spots and theoretical position adjusting coordinate parameters of the body-in-white part machining welding spots are accurately measured by combining numerical analysis; digital metering of spot welding machining position errors and spot welding machining theory adjusting coordinates of automobile body-in-white parts is achieved; and the automobile part generation monitoring end performs automobile part machining welding spot position parameter adjustment operation in a self-adaptive manner based on the body-in-white part machining welding spot theoretical position adjustment coordinate parameters in combination with the industrial robot control end and the spot welding machining equipment.

The application provides a vehicle battery test method, device, equipment and storage medium, which can collect response data of the BMS under multi-dimensional operating conditions by automatically generating a BMS test script matched with the vehicle to be tested and performing driving condition test, fault simulation test and charging test in a test environment, and ensure that the test results fully cover the actual use scenarios of the vehicle. By inputting the driving message data and the charging message data into a health assessment model, the health status of the battery can be quantitatively evaluated; and by inputting the fault message data into a fault identification model, the abnormal type of the battery system can be accurately identified. The health assessment data and the fault classification data are integrated, the communication reliability index and the fault response index are calculated, thereby realizing quantitative evaluation of the BMS performance, generating a comprehensive score reflecting the response accuracy of the vehicle, and improving the objectivity and comparability of the evaluation results.

The invention discloses a mechanical arm state intelligent judgment method and system based on a multi-mode large language model, and relates to the technical field of industrial state data processing. The method comprises the steps of obtaining a task structure body; building a multi-template prompt set; a working area image and mechanical arm body state data are loaded, and multi-mode large language model input is arranged in combination with a multi-template prompt set; calling the multi-modal large language model, processing the input of the multi-modal large language model, and outputting a judgment result of the motion state of the mechanical arm; searching a historical reference motion state by taking the task structure body, the working area image and the model of the mechanical arm as limits; the similarity between the historical reference motion state and the recommended motion state of the mechanical arm is calculated as the reasoning confidence coefficient; and when the reasoning confidence coefficient is larger than or equal to a confidence coefficient threshold value, the mechanical arm motion state judgment result and the task structure body are mapped into an action primitive sequence, and a control instruction is generated. The success rate and reliability of mechanical arm operation under complex instruction driving are effectively improved.

The invention discloses an airport pavement surface layer plate design method and system and a readable storage medium, and relates to the field of airport pavements, in the method, firstly, a block design parameter dictionary and design data are read to obtain a block design base, then point-line construction and seam line preprocessing are carried out by adopting a half-side data structure, and an airport pavement surface layer plate is obtained; and carrying out region segmentation and surface layer information assignment through an anticlockwise minimum region half grid method, then carrying out reinforcement design on underground pipelines, a filling and excavation boundary line passing region and a special-shaped region, and finally generating a three-dimensional model and assigning attribute information. According to the method, the associated configuration of the design parameters, the intelligent judgment of the reinforcement scheme and the seamless integration of the design data and the three-dimensional model are realized, and the design efficiency and accuracy are effectively improved.

The invention discloses a motorcycle test judgment method based on machine vision. The method comprises the steps of obtaining a real-time video stream of a motorcycle test room and converting the real-time video stream into picture array features; inputting the picture array features into a helmet detection model to obtain position information of the helmet; inputting the picture array features into a motorcycle-ground contact point detection model to obtain position information of the motorcycle and position information of a plurality of motorcycle tires and ground contact points; sequentially connecting the contact points to form a polygonal area, and processing to obtain a contact area mask; judging whether the examinee wears the helmet or not based on the helmet position information and the motorcycle position information; if it is judged that the image is worn, the image array features are input into a target area segmentation network model, and a test pile mask is obtained; based on the contact area mask and the test pile mask, whether the motorcycle touches the test pile in the pile winding process or not is judged, and if yes, the test is judged to be unqualified. According to the invention, the whole-course intelligent judgment can be realized, the judgment is more objective and accurate, and the hardware cost can be saved.

This invention discloses a method for monitoring the grouting effect in goaf areas based on fiber optic sensing. The method includes: lowering a sensing optical cable assembly into a vertical grouting hole; then, using a hole-mouth optical cable winch, slowly lowering the assembly to the bottom of the goaf; the optical cable passing through the grouting sealing flange and connecting to a distributed fiber optic DAS device; during grouting, the distributed fiber optic DAS device collects acoustic wave data in real time; based on the energy accumulation and integration value of the acoustic wave data, significant peak channels of the grout surface are identified through mathematical modeling and optimization constraints to locate the grout surface position; combined with the depth information of the optical cable in the hole, the final position of the grout surface within the goaf is determined; and by continuously collecting and processing fiber optic scattering signals through the distributed fiber optic DAS device, real-time dynamic monitoring of the grout level height in the hole is achieved. This invention can automatically monitor changes in the grout surface during grouting, evaluate the grouting effect in real time, and provide data support for real-time control of the grouting process.

The invention belongs to the technical field of traditional Chinese medicine manufacturing, and particularly relates to a traditional Chinese medicine fluidized bed granulation end point detection system, method and device. The method comprises the following steps: receiving traditional Chinese medicine particle spectrum data collected at at least three preset sites; the spectral data are converted into predicted values of key quality attributes of the traditional Chinese medicine particles at all sites on the basis of a quantitative analysis model, the key quality attributes at least comprise the moisture content and the particle size, and the quantitative analysis model is a partial least square regression model; respectively calculating relative standard deviations of the key quality attributes of all sites; and if the key quality attribute predicted values of all the sites reach a preset target range and the relative standard deviation of each key quality attribute predicted value is lower than a set threshold value, generating a granulation end point signal. The invention provides an intelligent and accurate traditional Chinese medicine fluidized bed granulation end point detection scheme.

The application relates to the technical field of aquaculture, and particularly relates to an aquaculture oxygen supply self-adaptive method and system based on multi-source data, which comprises the following steps: acquiring abnormal behavior related data of fish groups in an oxygen-deficient area, constructing an abnormal feature recognition model according to the abnormal behavior related data of the fish groups, extracting abnormal features in the abnormal behavior related data of the fish groups, inputting the abnormal features into the abnormal feature recognition model as input data, outputting abnormal behavior probability and target lead time according to an abnormal recognition process, and executing a pre-oxygenation judgment process according to the abnormal behavior probability and the target lead time. The application realizes intelligent judgment of the abnormal behavior probability and the target lead time of the fish groups by combining a three-dimensional oxygen distribution map and the abnormal feature recognition model, pre-oxygenation intervention is carried out before the occurrence of an oxygen-deficient risk according to the abnormal behavior features of the fish groups, the application range of the recognition model is expanded through an online learning expansion mechanism, and self-adaptive distributed oxygen supply control is realized.

The application relates to the technical field of monitoring data processing, and discloses a monitoring terminal of a combined overflow pipeline system and a data processing method, which comprises the following steps: time alignment of liquid level data and gas concentration data based on timestamps, frequency domain filtering of time series data sets based on the set blocking bandwidth of astronomical tidal periods, segmentation and interception of target time series data sets based on a sliding time window in an edge computing terminal, determination of the correlation result of the liquid level and the gas concentration based on a correlation rule algorithm, matching of the change rate, the change gradient and the correlation result with the pipe network structure correlation, determination of the risk identification of the corresponding monitoring terminal based on the pipe section connection relationship and the flow direction information, and division of the event level based on the risk identification in the edge computing terminal. The monitoring data is processed through edge computing, so that the response timeliness, data efficiency and intelligent level of the combined overflow pipeline system monitoring are ensured.

The present invention relates to an insulator deformation analysis system based on charge detection, comprising: a charge detection mechanism connected to a power supply grid, for sending a lightning strike judgment signal when detecting that the charge value generated by the power supply grid is greater than or equal to a set charge threshold; a request trigger device, for sending an insulator replacement request including the corresponding number of the insulator to a remote line management server through a wireless communication link when the deformation value representing the deformation level of the insulator obtained by intelligent analysis is greater than or equal to the set level threshold. The insulator deformation analysis system based on charge detection of the present invention is compact in design and widely used. By acquiring various targeted visualization data of the insulator and adopting an AI analysis model with a customized structure to intelligently judge the deformation value representing the deformation level of the insulator, an intelligent judgment of the deformation level of the insulator shape is achieved.

According to the metallic paint spraying corrosion-resistant process for the metal part, through systematic dispersion of a primer composite anti-rust pigment, a modified graphene hybrid material and a pH response type microcapsule, uniform arrangement and stable suspension of particles in a primer layer are achieved, and a controllable substrate environment is provided for subsequent spraying of a metal effect layer; by combining a process of heating and curing the microcapsule finishing paint by stages, the microcapsules gradually release core substances in the curing process, and react with an epoxy resin system to form a self-repairing network, so that the limitation that the protection performance of the primer is fluctuated and the self-repairing capability of the finishing paint is insufficient in the traditional coating is broken through.

This invention relates to the field of computer vision safety monitoring technology, and discloses a method and system for monitoring the protection of construction site manholes based on YOLOv8 and Siamese Network. The method includes: acquiring a sequence of target construction images at the construction site; performing detection using a YOLOv8 target detection network; extracting geometric feature vectors of the manhole protection structure; performing structural matching based on Siamese Network; and determining anomalies in the manhole protection structure. Compared to existing technologies that rely solely on target detection to determine whether a manhole is covered by fencing, this method addresses the technical problem of inaccurately identifying abnormal states of the manhole protection structure, especially when the fencing partially shifts but still covers the manhole. This application improves the accuracy of construction site manhole protection monitoring by introducing the spatial geometric relationship between the manhole and the fencing, combined with a structural consistency matching mechanism.

The invention relates to the technical field of data analysis, and discloses a data analysis method and device based on a CPU platform, equipment and a medium, and the method comprises the steps: identifying a CPU type and an operating system type of a running environment where monitoring application software is located; calling a monitoring program corresponding to the identified CPU type and the operating system type in a monitoring program unit; activating a hardware monitoring interface corresponding to the CPU type according to the monitoring program, and loading a target monitoring drive program corresponding to the hardware monitoring interface; monitoring the performance data of the CPU in real time through the target monitoring drive program, performing alarm analysis on the monitored performance data, and generating an alarm signal of the CPU platform; and transmitting the alarm signal and the performance data to the monitoring application software, and displaying the alarm signal and the performance data on a visual interface of the monitoring application software. According to the invention, the accuracy of CPU data analysis can be improved.

The invention relates to the technical field of thyristor-level loop testing, and discloses a thyristor-level loop testing method, which comprises the following steps of: setting an initial testing condition, selecting original parameters of a tested thyristor and a loop, and constructing a measurement model based on the original parameters of the thyristor; after initialization is completed, multiple sensors are installed at key positions of a thyristor-level loop, multiple sensor nodes are connected to a central control unit through a wireless communication technology, and an environment sensing module is integrated to establish an intelligent sensing network. According to the thyristor-level loop test method, the initial test condition is set and the original parameters of the tested thyristor and the loop are selected, so that comprehensive initialization of the test system is realized, normal work of all hardware components is ensured, and a reliable reference basis is provided for subsequent tests; the effects that the whole testing process is stable and reliable and data are accurate are achieved, and multiple sensors are installed at key positions of a thyristor-level loop and an intelligent sensing network is established.

This invention relates to the field of coal mine gas geological disaster prevention and intelligent identification technology, and discloses a method and system for intelligent identification and graded early warning of underground gas geological anomalies in coal mines. The method includes: S1, collecting multi-source heterogeneous monitoring data in the target area of ​​the coal mine and performing standardization processing and spatiotemporal benchmark unification; S2, constructing a multi-dimensional feature fingerprint database based on historical or accumulated standardized datasets; S3, acquiring real-time multi-source monitoring data for the current tunneling or exploration process and extracting its features; based on the multi-dimensional feature fingerprint database, using evidence theory to fuse and calculate multiple extracted real-time feature evidences to obtain a comprehensive confidence assessment result for the existence of a specific type of gas geological anomaly in the undiscovered area ahead; S4, generating graded early warning information based on the comprehensive confidence assessment result and a preset risk level threshold. This invention achieves advanced identification, risk assessment, and targeted early warning of geological disasters such as underground gas outbursts.

The utility model relates to a kind of power plant condensate regeneration resin conveying automatic identification device, and four sides of the fixed module setting is set on conveying pipeline, comprising: light source, resin conveying window, receiving device and acquisition module;Light source is set at the side of resin conveying window, for sending the transmission light of specific wavelength to resin conveying window;Receiving device is set at the other side of resin conveying window opposite with the side of light source setting, for receiving the optical signal formed after transmission light and resin interact after passing through resin conveying window, and optical signal is converted into electric signal after processing to optical signal;Acquisition module includes analog-digital conversion unit and signal transmission unit, and analog-digital conversion unit is used to collect current signal and is converted into digital signal;Signal transmission unit is used to transmit digital signal to digital signal analysis circuit;Four fixed modules are set around resin conveying window and install equidistantly with the four sides of resin conveying window. Corresponding system is also disclosed.

The invention relates to an electromagnet multi-mode test, control and integrated degaussing system and a method thereof, belongs to the technical field of electromagnet test and control, and solves one of the problems in the prior art that electromagnet test operation is tedious, the automation degree is low, the test process configuration is inflexible, the degaussing control precision is insufficient, and data management is inconvenient. Comprising a hardware layer and a software layer. The hardware layer comprises a central processing unit, a programmable power supply module, a data acquisition device and a demagnetization control module; the software layer is a main control software program running in the central processing unit, and the main control software program integrates the following functional architectures: a user identity authentication and authority dynamic management module, a multi-mode integrated operation architecture module, a data acquisition control module, a structured data storage module and a data query and report module; the multi-mode integrated operation framework module comprises a test mode, a control mode and a test mode. According to the system, full-process coverage and cooperation of the electromagnet from research and development, production to maintenance are achieved.

This invention provides an air filter with intelligent detection capabilities and its status detection method, relating to the field of vehicle detection device technology. It solves the problems of high false alarm rates, limited fault mode identification, and lack of emergency response capabilities in existing solutions under complex operating conditions. The filter body has an inlet housing and an outlet housing connected to form a hollow cavity, within which a filter element is installed. An inlet port is provided on the inlet housing, and an outlet port is provided on the outlet housing. The air filter also includes a controller, a temperature and humidity sensor, and a pressure sensor. The controller is connected to the temperature and humidity sensor and the pressure sensor, respectively, and is also connected to the vehicle's infotainment system. The temperature and humidity sensor collects the air temperature and humidity at the outlet port, and the pressure sensor collects the air pressure at both the inlet and outlet ports. This invention can effectively monitor the current status and possible fault modes of the air filter, providing timely and effective troubleshooting suggestions to help vehicle owners resolve malfunctions.

The invention provides an ice generation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring surface feature information of a target three-dimensional model; determining an ice growth area on the surface of the target three-dimensional model based on the surface feature information; generating a plurality of scattering point positions in the ice growth area; performing particle simulation based on the plurality of scattering point positions to generate ice particle data; an ice model is generated based on the ice particle data. According to the method provided by the invention, the suitable ice growth area is automatically identified by using the surface feature information, the problem of stiff distribution caused by only depending on single normal information is avoided, intelligent judgment of the ice growth area is realized, the manual division workload is reduced, and the interaction experience is improved.

The application discloses a language-guided robot grasping method and system based on uncertainty full-link penetration, and the method comprises the following steps: in the perception layer, performing multiple random sampling inferences on a visual language model, fitting a probability mixture model to quantify semantic uncertainty, and propagating to a three-dimensional space through a Jacobian matrix to obtain a three-dimensional total covariance matrix combined with depth uncertainty; in the selection layer, realizing safe uncertainty guided target selection based on a joint negative log-likelihood score and a gating mechanism; and in the execution layer, performing eigenvalue decomposition on the three-dimensional total covariance matrix to adaptively generate a compliant control parameter. The application can effectively improve the accuracy of target selection and the robustness of execution in a language-guided grasping scene, and is especially suitable for depth perception difficult scenes such as transparent objects and light-reflecting objects.

The application discloses a reaction kettle temperature control method, device, equipment and medium, and relates to the technical field of temperature control, and comprises the following steps: acquiring target temperature data collected by a preset temperature collection sensor by using wireless communication technology; acquiring preset temperature thresholds corresponding to different production stages from a target data source, comparing each target temperature data corresponding to each reaction kettle with the corresponding preset temperature threshold, and generating a target temperature adjustment instruction according to the comparison result; and sending the target temperature adjustment instruction to a temperature adjustment equipment, so that the preset temperature adjustment equipment adjusts the temperature of the reaction kettle according to the target temperature adjustment instruction. The temperature data is acquired by using the wireless communication technology, the centralized monitoring and flexible expansion of multiple kettles are realized, and the problems of complex wiring and high maintenance cost are avoided.

The application provides an AGV navigation magnetic tape reliability judgment method, device, system and electronic equipment, comprising: in the process of AGV traveling along the navigation magnetic tape according to a preset route, a magnetic tape detection device arranged on the AGV is used to detect the navigation magnetic tape in real time, and the actual duration data of AGV traveling on the navigation magnetic tape is recorded; the recorded actual duration data is compared with the corresponding preset duration threshold corresponding to the preset route, if the recorded actual duration data is greater than or equal to the preset duration threshold, an alarm signal representing that there is a problem with the navigation magnetic tape is output. The accurate calculation and intelligent judgment of the length of the abnormal part of the magnetic tape are realized, the intelligent supervision under different walking speeds of AGV and different emergency situations is realized, when a serious emergency occurs, the AGV is controlled to stop, efficient and high agility are realized to prevent AGV from colliding with materials, deviating and the like, the safety of the scene is ensured, the intelligent degree and safety of the application are greatly improved, and the application scenarios of the application are further expanded.