9results about How to "Assessment reliability" patented technology

The invention discloses a big data-based roadside holographic sensing platform data synchronization method and system, relates to the technical field of smart traffic, and aims to improve the accuracy of global traffic situation sensing in heterogeneous data synchronization and fusion processes of an existing roadside holographic sensing platform. The method comprises the following steps: acquiring heterogeneous data with time stamps from a plurality of pieces of edge sensing equipment, and respectively collecting the plurality of pieces of heterogeneous data into respective corresponding sliding time windows according to the time stamps carried by each piece of heterogeneous data; according to the data integrity score and the data credibility score, one fusion strategy is selected from multiple preset data fusion strategies, and the multiple data fusion strategies at least comprise a standard fusion strategy and a degradation fusion strategy; and performing fusion processing on the heterogeneous data in the sliding time window according to the selected fusion strategy to generate a global traffic situation view with a data quality identifier.

A simulation failure identification and physical acceleration fusion-based MEMS sensor accelerated life test method comprises the following steps: aiming at environmental stress information of an MEMS sensor in a predetermined task process, identifying a failure form and a weak part by using structure simulation, and carrying out simulation evaluation on candidate acceleration stress working conditions constructed around the weak part; according to a preset life, a reliability requirement and a test resource constraint, selecting a combination of a stress level, test time and a sample number from the candidate working conditions to form an accelerated life test design scheme of the MEMS sensor; according to the method, the test period can be shortened on the premise that the test representativeness and accuracy are guaranteed, the test cost is reduced, and the effectiveness and universality of the reliability test design of the MEMS sensor are improved.

The application relates to the battery technical field, in particular to a single cell expansion effect testing device. The single cell expansion effect testing device comprises a first clamping plate and a second clamping plate, the first clamping plate and the second clamping plate are clamped on the two sides of the thickness direction of a single cell, the first clamping plate is provided with first sliders slidable along a second direction on the two sides along a first direction, the second clamping plate is provided with second sliders slidable along the second direction on the two sides along the first direction, the first sliders and the second sliders on the same side are connected with fasteners, the first clamping plate and the second clamping plate clamp the cell, the state that the single cell is clamped between other two cells in a battery pack is simulated, and the position of the fastener can be adjusted according to simulation results, so that the expansion effect of the single cell in the actual use of the battery pack is effectively simulated, the effect of the equivalent battery pack is achieved, the safety and reliability of the battery are more accurately evaluated, and the test cost is effectively reduced.

The invention discloses a three-dimensional modeling method and system for port whole-process management and control. The three-dimensional modeling method comprises the following steps: acquiring initial laser point cloud data, initial millimeter wave point cloud data, dust concentration and a visibility estimation value; performing dust point cloud elimination on the initial laser point cloud data and the initial millimeter wave point cloud data to obtain laser point cloud data and millimeter wave point cloud data; determining a laser point cloud weight and a millimeter wave point cloud weight; based on the laser point cloud weight and the millimeter wave point cloud weight, performing weighted fusion on the laser point cloud data and the millimeter wave point cloud data to obtain final point cloud data; and performing three-dimensional modeling based on the final point cloud data. According to the method, the point cloud belonging to the dust in the initial point cloud data is removed, only the required point cloud data is reserved, the influence caused by the dust is avoided, and a good data basis is provided for modeling from unloading of a car dumper and transportation of a belt conveyor to stockpiling of a storage yard in the whole-process operation.

The application discloses an enhanced recognition method in a multi-source heterogeneous scene, and relates to the technical field of intelligent sensing, comprising the following steps: S1, dynamic acquisition and preprocessing of multi-source data; S2, dynamic modal weight distribution; S3, cross-modal feature enhancement fusion; S4, lightweight model reasoning and optimization; S5, dynamic environment adaptive learning. The enhanced recognition method in the multi-source heterogeneous scene effectively solves the problems of heterogeneous data time alignment and format unification by synchronously collecting multi-modal data in real time and performing standardization processing. In cooperation with the unique dynamic modal weight distribution mechanism, the reliability of each modal data can be evaluated in real time according to the scene change, and the fusion weight can be dynamically adjusted, so as to further ensure the accuracy and adaptability of data fusion. In addition, more discriminative joint features are generated through cross-modal feature enhancement fusion, which significantly improves the recognition accuracy and robustness.

The utility model relates to special equipment testing arrangement technical field, and disclose a kind of special equipment fault simulation and test platform, solve the test ability of single of existing pressure vessel vibration testing arrangement, and in actual operation, pressure vessel can face the complex effect of vibration and shaking simultaneously, only through single vibration simulation cannot more truly assess the performance and reliability of pressure vessel problem, it includes device main body, the upper of device main body is equipped with vibrating disc, the circumference of vibrating disc is fixedly installed with four sliding sleeves, the inside of sliding sleeve is all inserted with slide bar, the bottom of four slide bars is all fixedly connected with the top of device main body, and the upper portion of four slide bar surfaces is all equipped with spring;The pressure vessel testing arrangement can carry out the complex test of vibration and shaking simultaneously, to more truly assess the performance and reliability of pressure vessel, provide more accurate basis for the design, manufacture and maintenance of container.

This invention discloses a drilling rig fault monitoring system and a formwork pile construction device. The system includes a monitoring system comprising an analog input module, a digital output module, a PWM power amplifier, a main controller, and a display module. The analog input module, digital output module, PWM power amplifier, and display module are all electrically connected to the main controller. The advantages of this invention include comprehensive monitoring of three main types of signals in the drilling rig: AI signals, DO signals, and PWM signals. It also provides alarm prompts for specific fault information and detailed fault information, and features local and cloud storage, facilitating users' querying and analysis of historical equipment faults. Furthermore, it can be used to assess the current reliability of the equipment.

This invention relates to the field of control or regulation systems for non-electrical variables, and more particularly to a UAV positioning method and system. The system includes an airborne positioning module integrating an ultra-wideband transceiver, an inertial measurement unit, a visual sensor module, and a global navigation satellite system (GNSS) receiver module. It also coordinates with an external UWB positioning beacon. Through core functional modules such as real-time multimodal data quality assessment, dynamic weighted fusion positioning, environmental perception and situational awareness, and robustness and integrity monitoring, it achieves high-precision, continuous, and reliable positioning of the UAV. This invention significantly improves positioning accuracy and system robustness, enhances adaptability to complex environments and anti-interference capabilities, and effectively reduces system deployment and maintenance costs.

This utility model relates to an experimental system for simulating solar radiation, comprising an experimental chamber, a control device, a cooling device, and a simulated experimental light source unit. The simulated experimental light source unit is arranged sequentially on the top of the experimental chamber. Each simulated experimental light source unit includes a light source holder, multiple independently distributed irradiation light sources, and a hoisting mechanism. Infrared displacement sensors and tilt sensors are respectively installed on the light source holder. The irradiation light source adopts a metal halide light source that simulates the spectral characteristics and irradiation intensity of solar radiation. The irradiation light source is connected to a cloud simulation mechanism. The light source holder is installed on the top of the experimental chamber via the hoisting mechanism. Temperature and humidity sensors are installed inside the experimental chamber. The experimental chamber is connected to the control device and the cooling device. Beneficial effects: The irradiation light source is equipped with a cloud simulation mechanism, enabling low irradiance irradiation of 50W / ㎡. It is suitable for simulating the ability of vehicles and large products to withstand the thermal and optical effects of solar radiation, and for evaluating product reliability.