5results about How to "Avoid missing data" patented technology

The invention relates to a drought monitoring method and system, and relates to the technical field of hydraulic engineering, and the method comprises the steps: monitoring the growth state of planted crops in a first irrigation region, the drought state and a ground water source through a plurality of monitoring satellites to obtain satellite monitoring data, and determining a first drought index; acquiring unmanned aerial vehicle monitoring data of the second irrigation area by using the plurality of unmanned aerial vehicles and the intelligent machine nest, determining a second drought index of the second irrigation area based on the unmanned aerial vehicle monitoring data, and determining a preliminary irrigation state of the second irrigation area; acquiring actual measurement data of the second irrigation area through ground drought monitoring equipment, and determining a third drought index according to the actual measurement data; and determining the land parcel drought grade of each land parcel in the second irrigation area by combining the first drought index, the second drought index and the third drought index, and determining the irrigation scheme of each land parcel based on the land parcel drought grade, the initial irrigation state and the actually measured data. According to the invention, the irrigation scheme can be timely and accurately determined.

This invention relates to the field of transformer condition monitoring technology, specifically a transformer condition monitoring and protection system utilizing a wireless sensor network. The system includes a sensor optimization deployment module for determining the optimal physical installation location of each wireless sensor node within the wireless sensor network based on thermal imaging analysis of the transformer; and a data acquisition module for collecting transformer condition data through multiple wireless sensor nodes deployed at the optimal physical installation locations. This condition data includes at least temperature data, vibration data, and electrical parameter data. This invention obtains a continuous temperature change map of the transformer through thermal imaging analysis and employs algorithms for calculating the deflection angle and distance. Using the hotspot area with the largest temperature change rate as a benchmark, and combining this with the physical offset of the thermal field propagation, the optimal sensor installation location is calculated, overcoming the shortcomings of traditional manual sensor placement that relies on experience.

This invention relates to a road congestion control method and system based on high-resolution remote sensing imagery, belonging to the field of traffic control technology. It addresses the technical problems of existing technologies, such as the limited coverage of ground-based sensing equipment and the low precision of traditional remote sensing techniques, which fail to fully extract the spatial details and texture features of high-resolution remote sensing images, thus failing to meet the requirements of refined road congestion control. The method involves acquiring high-resolution remote sensing images of urban road areas and preprocessing them; extracting road areas from the images and identifying traffic targets under the constraints of the road area images; calculating traffic flow parameters; constructing a congestion index calculation model to calculate the congestion index; classifying dynamic congestion levels based on the congestion index; and implementing road congestion control according to the dynamic congestion levels. This invention aims to achieve accurate and reliable road congestion control.

The utility model discloses a railway track deformation detection device based on vehicle-mounted binocular measurement, and relates to the technical field of railway track detection. The device comprises a foundation pile arranged on one side of a track, a double-strand steel rail and a mobile vehicle body, the foundation pile is provided with a reference target, and the rail waist of the steel rail is provided with a detection target. Image acquisition devices are arranged on the two sides of the bottom of the vehicle body and comprise a first binocular camera and a second binocular camera which are used for acquiring image information of the reference target and the detection target on the same side respectively; the target depth is directly measured through binocular camera stereo vision, a line laser is omitted, the structure is simplified, and the cost is reduced; the vehicle-mounted bracket adopts a hinged bearing plate and a servo motor to adjust the pitch angle of the camera so as to adapt to different line target positions; and the posture adjusting mechanism realizes multi-degree-of-freedom adjustment through a supporting arm, a connecting arm and a pitch shaft, so that the optimal visual angle of the camera is ensured, and the detection precision of complex scenes such as curves is improved.

The invention discloses a fluid pipe network AI intelligent agent based on a group cooperation mechanism. The fluid pipe network AI intelligent agent comprises an energy self-supply module, a multi-dimensional sensing module, an execution regulation and control module, a dual-mode communication module and an AI collaborative decision module. The multi-dimensional sensing module is used for collecting pipe network operation parameters, fault characteristic signals and environment state data; the dual-mode communication module comprises a long-distance transmission unit and a short-distance instant transmission unit; and the AI collaborative decision-making module is used for carrying out analysis processing on the sensing data, constructing group collaborative logic, generating a regulation and control decision, dynamically optimizing regulation and control parameters and simulating a self-organization behavior of a biological group. According to the invention, by realizing unconscious synchronous regulation and control of multiple nodes, quick response to sudden faults can be completed without intervention of a central platform, the fault processing time is greatly shortened, the loss caused by the faults is reduced, the fault-tolerant capability and the operation reliability of the system are improved, accurate guidance is provided for maintenance work, and the maintenance time is shortened.