15results about How to "Reliable data basis" patented technology

The invention relates to the technical field of unmanned aerial vehicle control, and provides a cluster unmanned aerial vehicle control method based on a cloud side-end architecture, which comprises the following steps of: determining a general task framework, a global edge node and a local edge node through a cloud platform, and dividing an operation area into a plurality of sub-areas; a general task framework is divided into sub-task modules corresponding to sub-regions through global edge nodes, and the sub-task modules are refined through local edge nodes to obtain a to-be-executed instruction, so that hierarchical cooperative control of a terminal unmanned aerial vehicle is realized, a single-point bottleneck of centralized control is broken through, and centralized processing of data is avoided; edge computing nodes are dynamically adjusted to prevent node abnormity from influencing task proceeding, then terminal unmanned aerial vehicles in a sub-region range are dynamically and locally scheduled to ensure coordination of task completion, and a terminal unmanned aerial vehicle cluster is dynamically and globally scheduled to realize macroscopic resource allocation of the terminal unmanned aerial vehicles; the terminal unmanned aerial vehicle collects and uploads task execution data, and a reliable data basis is provided for scheduling of the terminal unmanned aerial vehicle.

The invention provides an in-vivo pressure detection sensor and detection system, and the sensor comprises an air bag which is used for being implanted into a to-be-detected part; the first air pressure sensor is located in the environment communicated with air in the air bag and used for measuring the air pressure value in the air bag, the air bag and the first air pressure sensor are combined to monitor the pressure in the organism, the size of the detection sensor is effectively reduced, the air bag is used for directly measuring the intracranial pressure, and the accurate intracranial pressure value is obtained. The brain tissue is prevented from being exposed to the injury risk; the first wireless power supply and communication module is used for wirelessly supplying power to internal components of the detection sensor and directly sending measured parameters to an external receiver, so that the structure of the detection sensor has high integration, a battery does not need to be arranged, the volume size of the detection sensor is further reduced, and the cost is reduced. The use experience of an implanter is improved, the processing performance and the communication performance of the detection sensor can be guaranteed, and the operation convenience of the detection sensor is improved.

The application discloses a terminal crimping die tracking information management method for automobile wire harness, relates to the technical field of information processing, and comprises the following steps: acquiring crimping records generated in a continuous operation state and corresponding time position marks, performing trajectory sketching on sequence changes of the crimping records in a writing process, performing expansion processing on the crimping records according to a time advancing relationship, and forming basic record data. The application realizes identification and positioning of repeated writing and covering behavior by sketching sequence changes of crimping record writing and extracting periodic characteristics, restores a real advancing relationship of records, guarantees accuracy of a corresponding relationship of data, controls subsequent writing rhythm at the same time, makes record distribution tend to be balanced, suppresses a covering trend, maintains continuity of a record trajectory, and improves data stability and quality traceability reliability.

The invention belongs to the technical field of measurement, and provides a multidirectional panoramic illuminance measurement device which has remarkable advantages and is provided with a unique angle adjusting mechanism, a motor drives a gear for transmission, an extension plate and an illuminometer adjust the angle in all directions in the horizontal direction, the limitation of traditional single or limited angle measurement is broken through, and the measurement accuracy is improved. The device is innovatively provided with a kinetic energy generator, an extension plate I rotates to drive a roller, and a pressure-sensitive power generation block converts kinetic energy into electric energy through a P-shaped rod, so that partial self-power supply is realized, the dependence of an external power supply is avoided, the cost is reduced, the device is convenient to use in various scenes, and normal measurement can be realized in remote areas; the environment light simulation mechanism is characterized in that a third motor drives an annular inner gear to drive a bulb to rotate, various kinds of environment light are simulated, measurement is close to a real scene, and a reliable basis is provided for illumination work.

The utility model provides a shallow soil sampling device for geological exploration. The shallow soil sampling device comprises a soil sampler assembly capable of sampling soil, the soil sampler assembly comprises an engine, a shaft rod which is in transmission connection with an output shaft of the engine and extends in the vertical direction, and a soil sampling cylinder which is detachably connected with the shaft rod; the soil sampling cylinder comprises a plurality of groups of inserting plates and a plurality of groups of slotting plates, the inserting plates and the slotting plates are alternately connected and arranged, are arc plates, and are mutually matched and spliced to form a cylindrical structure which is detachably connected with the shaft rod; a cavity is formed in the slotting plate, a limiting assembly is arranged in the cavity, and a limiting groove matched with the limiting assembly is formed in the inserting plate; after the soil sampler successfully completes soil sample collection work, the cylindrical structure can be detached from the connecting block connected with the cylindrical structure. Then, the pulling piece is poked, the movement of the pulling piece can drive the inserting rod to act, and the inserting rod is made to be separated from the limiting groove. The purpose of the utility model is to keep a soil sample in a more complete state.

The application discloses a kind of detection method, device and equipment of the cooling liquid filling quantity of engine cooling system, comprising: filling cooling liquid to the expansion kettle of cooling system to the highest mark line position;Multiple control starts engine operation and after engine each operation stops, re-filling cooling liquid to the expansion kettle to the highest mark line position, until engine operation stops, the cooling liquid level height in expansion kettle is stabilized at the highest mark line position;The amount of cooling liquid filled in the expansion kettle each time is accumulated, to determine the cooling liquid filling quantity in cooling system.In the present application, cooling liquid is directly injected into the expansion kettle, and the engine is started multiple times, and cooling liquid is filled and supplemented when the engine stops each time, until the cooling liquid in the expansion kettle stabilizes at the highest mark line position, i.e.The filling quantity of cooling liquid in the cooling system can be accurately determined, to provide more accurate and reliable data basis for engine matching vehicle, which is beneficial to ensure the working performance of engine operation.

The present invention relates to the technical field of testing equipment, and in particular to a device for testing axial force, comprising a base, a motor, a PCJJ bearing unit, an S-type tension and pressure sensor, a sensor support seat, and an adjusting screw with a nut; the motor and the sensor support seat are fixed to the top surface of the base, the front end of the motor shaft is connected to the rotating shaft of the pump, and an axial gap is maintained between the rear bearing of the motor shaft and the rear bearing gland, and the PCJJ bearing unit is installed at the rear end of the motor shaft; the front end of the S-type tension and pressure sensor is rotationally connected to the bearing unit gland of the PCJJ bearing unit, and the rear end is rotationally connected to the front end of the adjusting screw, and the rear end of the adjusting screw passes through a through hole provided on the sensor support seat and is then installed with the nut. The present invention can obtain the magnitude of the axial force through experimental testing, thereby providing a reliable data basis for balancing the axial force when designing a pump.

The present invention discloses a digital safety monitoring and early warning system and method based on big data, which relates to the field of digital monitoring technology. By using big data technology, historical traffic data is obtained and the traffic flow range is divided. By calculating the chaos index Hzs of each current monitoring period, abnormal fluctuations in traffic flow can be quickly detected. When the chaos index Hzs exceeds the set danger threshold Q, the system automatically issues a hidden state recognition instruction. This function helps to discover traffic hazards and abnormal conditions at an early stage, and timely measures can be taken to reduce traffic congestion and accident risks. After receiving the hidden state recognition instruction, the transformation probability matrix Bgz and the actual probability matrix Sgz are obtained respectively by using big data technology and statistical analysis means, and combined with forward variables, the optimal path probability of each monitoring period can be analyzed.

An improved method for short-term load forecasting using the whale algorithm and optimized deep extreme learning machine (IWOA-DELM) is proposed. This method introduces Tent chaotic mapping to initialize the initial whale population and employs IWOA as the base load forecasting model to mine deep hidden information in the data. The improved whale algorithm is then used for parameter optimization. Finally, considering the significant impact of factors such as temperature and humidity on load changes, a multi-dimensional IWOA-DELM load forecasting model is established. This method addresses the problem of insufficient initial population distribution in the whale algorithm and enriches the model input by considering the influence of climate factors on load values, thereby improving the accuracy of short-term load forecasting.

The utility model provides an auxiliary investigation device for forest fruit wild germplasm resources, which comprises an elastic band capable of being wound and installed at the position of a tree trunk, a box body is fixed in the middle of the elastic band, and a satellite positioning module, a temperature and humidity detection module, an illumination intensity measurement module and an image acquisition module are arranged on the box body. The box body is also provided with a tree circumference measuring device; the fruit tree investigation device is reasonable in design structure, can be fixed at the trunk position of a forest fruit, can realize accurate positioning of a fruit tree by adopting a built-in satellite positioning module, and avoids the problem that the fruit tree cannot be found; the temperature and humidity detection module, the illumination intensity measurement module and the image acquisition module are adopted to monitor environmental data around the fruit tree in real time, the tree circumference measurement device is adopted to accurately measure the growth change of the fruit tree, reliable data basis is provided for the growth condition of the fruit tree, and investigation, analysis and research of the fruit tree are facilitated.

The invention discloses a method for intelligently extracting a ship collision accident risk influence factor propagation path. The method comprises the following steps: 1, constructing a ship collision accident analysis report data set; 2, constructing a ship collision accident risk influence factor ontology based on a rooting theory; 3, performing fine adjustment and evaluation on the original IE model by using the annotation data in the data set, selecting an optimal fine adjustment IE model according to an evaluation result, and intelligently extracting required entities and relationships from the ship collision accident analysis report data set by using the optimal fine adjustment IE model; and 4, according to a semantic similarity model and a preset similarity threshold value, solving an expression co-reference problem of the extracted entities, and converting a propagation relationship, a causal relationship and related entity matching into an accident risk factor propagation path of which a node is an ontology code. According to the method, the ship collision accident risk influence factor propagation path can be intelligently extracted from a large batch of unstructured accident reports, the result form is simple, the semantic expression is clear, and there is no co-reference problem.

The present invention discloses a facade structure analysis method, equipment and medium based on a reservoir dam body, which belongs to the field of dam monitoring technology and is used to solve the technical problems of low efficiency, difficulty in comprehensive acquisition, difficulty in identifying potential safety risks, and difficulty in timely issuing early warning information in the existing dam facade structure monitoring. The method includes: using a preset three-dimensional laser scanner to perform multi-level point cloud scanning on the steel sheet pile cofferdam of the dam to obtain three-dimensional point cloud data; performing data preprocessing on the three-dimensional point cloud data to obtain uniform point density point cloud data of the steel sheet pile; performing a steel sheet pile cylinder deformation analysis on the uniform point density point cloud data related to the least squares circle to obtain change trend data based on the steel sheet pile cylinder; based on the change trend data obtained from different sections in the steel sheet pile cylinder, determine the safety risk information of the dam.

This invention relates to the field of water-guided laser processing technology, specifically a method and system for measuring the effective jet length and monitoring nozzles in water-guided lasers. The main components of the method are: first, a stimulated Raman scattering optical isolation imaging system is constructed to acquire a grayscale image of the scattered red light from the jet; then, the jet contour features are extracted, the pixel length along the principal axis is calculated, and the actual physical length of the jet is obtained by combining equipment parameters; finally, the length is compared with a safety threshold to determine the status. This invention relies on a dual isolation mechanism of long-pass filters and Raman scattering to effectively avoid detection interference caused by metal reflection and water mist, accurately identify high-energy jet regions with cutting capabilities, and abandon traditional relative calculation methods. It can directly output millimeter-level measured lengths, enabling timely detection of sudden nozzle malfunctions and full-process quantitative tracking of wear levels, providing accurate data support for nozzle condition monitoring.

The invention provides a gas reservoir production limit evaluation method, device and equipment and a storage medium. The method comprises the steps that on the basis of the current gas price, the critical full-life-cycle cumulative gas production rate of a gas well under the preset yield rate is calculated, and on the basis of the critical full-life-cycle cumulative gas production rate and the first-year gas production rate proportion of the gas well in the high-water-content tight sandstone gas reservoir area, the critical first-year gas production rate and the critical first-year daily average gas production rate are determined; based on the water production data and the gas production data of the multiple first-class gas wells, the linear relation between the daily average gas production rate of the first year and the water-gas ratio is determined, and the critical water-gas ratio is determined; based on the critical water-gas ratio and the critical first-year daily average gas production, reservoir calibration is conducted on the multiple second-class gas wells; and determining the lower limits of porosity, permeability and gas saturation of the effective reservoir of the high-water-content tight sandstone gas reservoir based on the reservoir calibration result. According to the method, the gas reservoir production limit is evaluated by combining the economic factors and the gas-water relationship of the gas reservoir, and the accuracy of production limit evaluation is improved.

The present invention belongs to the technical field of photovoltaic brackets, and specifically discloses a photovoltaic bracket strength detection device, including a fixed base, two horizontal edges of the middle part of the fixed base are symmetrically fixed with struts, a square frame is provided between the struts, the lower sides of the two horizontal beams distributed in the longitudinal direction of the square frame are both vertically arrayed and fixed with the same number of first limit columns, the lower sides of the middle parts of the two longitudinal beams distributed in the transverse direction of the square frame are both vertically fixed with second limit columns, and the lower sides of the square frame are respectively provided with a second pressure-bearing beam and a first pressure-bearing beam parallel to the square frame from top to bottom, the lower sides of the first pressure-bearing beam and the second pressure-bearing beam are both connected with an adaptive deformation dynamic pressure mechanism, the adaptive deformation dynamic pressure mechanism is provided with a follow-up vertical displacement detection mechanism, and an angle adjustment mechanism is provided at one of the connections between the square frame and the struts. The present invention can independently apply force and displacement measurements for multiple measurement nodes, and simulate the loading of non-uniform loads that change with deformation under actual force conditions.